1
00:00:01,760 --> 00:00:03,080
Speaker 1: Also media.

2
00:00:03,320 --> 00:00:05,720
Speaker 2: Hey everybody, Robert Evans here, and I wanted to let

3
00:00:05,800 --> 00:00:09,440
Speaker 2: you know this is a compilation episode. So every episode

4
00:00:09,560 --> 00:00:12,680
Speaker 2: of the week that just happened is here in one

5
00:00:12,800 --> 00:00:16,480
Speaker 2: convenient and with somewhat less ads package for you to

6
00:00:16,560 --> 00:00:19,040
Speaker 2: listen to in a long stretch if you want. If

7
00:00:19,040 --> 00:00:21,000
Speaker 2: you've been listening to the episodes every day this week,

8
00:00:21,040 --> 00:00:22,759
Speaker 2: there's going to be nothing new here for you. But

9
00:00:23,120 --> 00:00:30,880
Speaker 2: you can make your own decisions. This is poetry. You

10
00:00:30,880 --> 00:00:35,640
Speaker 2: don't edit poetry, well, you do edit poetry. Poetry.

11
00:00:35,840 --> 00:00:42,800
Speaker 1: Stop talking. Welcome, welcomed, It could happen here. Twenty twenty

12
00:00:42,840 --> 00:00:45,879
Speaker 1: five Q and A edition. We have the whole team here,

13
00:00:46,040 --> 00:00:50,360
Speaker 1: Mia Garrison, James, Robert Evans, I'm your producer, Sophie Lichterman.

14
00:00:50,479 --> 00:00:53,760
Speaker 1: We're gonna answer some of your questions. How's everybody feeling.

15
00:00:53,520 --> 00:00:58,960
Speaker 2: Great, trepidacious, amazing, bad? I just got back from vacation,

16
00:00:59,120 --> 00:01:01,560
Speaker 2: so anything's going to be a that's not me continuing

17
00:01:01,560 --> 00:01:03,200
Speaker 2: to not look at my phone or computer.

18
00:01:03,440 --> 00:01:05,760
Speaker 3: Great, Yeah, you should stop looking at the phone.

19
00:01:06,120 --> 00:01:06,440
Speaker 4: You guys.

20
00:01:06,520 --> 00:01:09,640
Speaker 2: Are you guys aware what this Trump dude's doing? Jesus Christ,

21
00:01:11,240 --> 00:01:13,280
Speaker 2: very very yeah.

22
00:01:13,360 --> 00:01:15,560
Speaker 4: I went to the WJA holiday party this weekend and

23
00:01:15,600 --> 00:01:18,600
Speaker 4: the amount of like twenty seventeen Trump jokes I had

24
00:01:18,600 --> 00:01:18,920
Speaker 4: to hear.

25
00:01:19,680 --> 00:01:23,720
Speaker 2: Oh no, yeah, that's a crime against humanity. God.

26
00:01:23,760 --> 00:01:26,440
Speaker 3: I love I love that party. I love that party.

27
00:01:26,560 --> 00:01:28,800
Speaker 5: I'm going to a holiday party tonight with some friends

28
00:01:28,800 --> 00:01:32,720
Speaker 5: who do insurance for people who live in the US

29
00:01:32,920 --> 00:01:35,240
Speaker 5: and go to Mexico, so I'm sure I will get

30
00:01:35,319 --> 00:01:37,160
Speaker 5: lots of fun and exciting anecdotes.

31
00:01:37,520 --> 00:01:41,000
Speaker 2: Yeah, I am throwing a holiday party and planning it

32
00:01:41,080 --> 00:01:44,280
Speaker 2: with a four year old, which is exciting. It's gonna

33
00:01:44,280 --> 00:01:44,560
Speaker 2: be good.

34
00:01:45,280 --> 00:01:49,160
Speaker 1: One of my favorite experiences as us having our job

35
00:01:49,280 --> 00:01:52,120
Speaker 1: is at almost every partday I go to somebody's like,

36
00:01:52,520 --> 00:01:55,160
Speaker 1: so those the news.

37
00:01:55,600 --> 00:01:59,360
Speaker 5: Yeah, people just tt to just summarize the fucking news.

38
00:01:59,640 --> 00:02:03,840
Speaker 3: Yeah, no, good, listen to executive disorder. No.

39
00:02:03,960 --> 00:02:05,760
Speaker 4: I had to explain seven to six four to a

40
00:02:05,760 --> 00:02:08,520
Speaker 4: screenwriter yesterday and they were not happy.

41
00:02:11,040 --> 00:02:13,239
Speaker 2: Anyone who goes to a party that I am at

42
00:02:13,440 --> 00:02:15,600
Speaker 2: knows that there's a gun on the table. If anyone

43
00:02:15,680 --> 00:02:17,720
Speaker 2: asks me how the news is, that's that's.

44
00:02:17,720 --> 00:02:19,079
Speaker 1: Just It's always sprays that way.

45
00:02:19,600 --> 00:02:21,000
Speaker 2: Who's the fuck out?

46
00:02:21,200 --> 00:02:21,359
Speaker 3: Yeah?

47
00:02:21,480 --> 00:02:25,000
Speaker 5: Yeah, what's going on over the Aaron Burma, Let's let's

48
00:02:25,080 --> 00:02:26,600
Speaker 5: let's answer some questions.

49
00:02:26,880 --> 00:02:29,720
Speaker 1: All right, so we posted on Blue Sky, we posted

50
00:02:29,760 --> 00:02:33,960
Speaker 1: on Instagram, and we have some of your questions. Let's

51
00:02:34,000 --> 00:02:36,880
Speaker 1: start out with a with a fun one. Can we

52
00:02:36,960 --> 00:02:41,560
Speaker 1: have a fun, non incriminating story from your youth? Any

53
00:02:41,720 --> 00:02:43,240
Speaker 1: in all of you?

54
00:02:43,280 --> 00:02:47,160
Speaker 4: No fun, not incriminating story, but you, I mean for Robert,

55
00:02:47,240 --> 00:02:50,440
Speaker 4: this is, and James and maybe me. Statute of limitations

56
00:02:50,440 --> 00:02:53,360
Speaker 4: for all of you should be fine. Yeah, Garrison, I

57
00:02:53,360 --> 00:02:56,040
Speaker 4: cannot answer this at all. I have a lot of

58
00:02:56,080 --> 00:02:59,200
Speaker 4: interesting stories, but I've tried to think of something from

59
00:02:59,200 --> 00:03:00,640
Speaker 4: my youth that I could actually share.

60
00:03:01,280 --> 00:03:03,679
Speaker 5: I can do one that I think non incriminating. I'm

61
00:03:03,720 --> 00:03:07,040
Speaker 5: sad about having been part of it, but that's okay.

62
00:03:07,600 --> 00:03:09,960
Speaker 5: I was gored by a bull when I was younger.

63
00:03:12,160 --> 00:03:15,240
Speaker 2: Story. I feel like if we put money on it,

64
00:03:15,320 --> 00:03:17,280
Speaker 2: like two of us would have better. Ball was involved.

65
00:03:18,160 --> 00:03:22,840
Speaker 5: I've actually been present at several gorings. Various species probably

66
00:03:22,840 --> 00:03:25,480
Speaker 5: have most of the gorings, and it's available for human

67
00:03:25,520 --> 00:03:28,960
Speaker 5: being to witness, because I've seen like a water buffalo goring.

68
00:03:29,320 --> 00:03:31,880
Speaker 2: Oh nice, that's gotta be like the top goring.

69
00:03:32,400 --> 00:03:35,720
Speaker 5: Yeah, that was a really unpleasant day for everyone involved.

70
00:03:35,800 --> 00:03:38,640
Speaker 5: A guy lost the use of his of his legs

71
00:03:38,680 --> 00:03:41,280
Speaker 5: for a period. Actually recovered it later, which is nice, so.

72
00:03:41,240 --> 00:03:44,800
Speaker 2: You can laugh about it, Yeah, fun laugh about it. Yeah,

73
00:03:45,040 --> 00:03:47,320
Speaker 2: well it's a funny. It's a funny story because it's fun.

74
00:03:47,600 --> 00:03:49,720
Speaker 5: First of all, you shouldn't be unkind to animals, so

75
00:03:49,760 --> 00:03:51,040
Speaker 5: I did deserve it, right.

76
00:03:51,360 --> 00:03:51,560
Speaker 6: Yeah.

77
00:03:52,440 --> 00:03:55,760
Speaker 5: I don't think you should torn animals for human pleasure.

78
00:03:55,840 --> 00:03:57,880
Speaker 5: I don't think you should make them suffer, and if

79
00:03:57,880 --> 00:04:00,000
Speaker 5: you do, it's kind of your fault.

80
00:04:00,120 --> 00:04:02,160
Speaker 2: So in that sense, it's funny. I don't know that

81
00:04:02,200 --> 00:04:04,520
Speaker 2: i'd ever heard of a goring where I wasn't like, well,

82
00:04:04,560 --> 00:04:05,920
Speaker 2: the animal was in the right.

83
00:04:05,800 --> 00:04:09,520
Speaker 3: Clear I'm on the bull team with this.

84
00:04:10,640 --> 00:04:12,600
Speaker 5: The funny part was that my friend who was staying

85
00:04:12,600 --> 00:04:16,960
Speaker 5: with me, had previously not driven a manual vehicle. I

86
00:04:17,000 --> 00:04:20,480
Speaker 5: had broken probably the bulk of my ribs right, like

87
00:04:20,520 --> 00:04:23,320
Speaker 5: a lot of rib breaking, and we drove home like that,

88
00:04:23,400 --> 00:04:25,120
Speaker 5: learning to use a clutch on the way, and that

89
00:04:25,279 --> 00:04:27,840
Speaker 5: was one of the most painful experiences I think that's

90
00:04:27,880 --> 00:04:29,560
Speaker 5: available to a human being.

91
00:04:30,120 --> 00:04:32,120
Speaker 1: Is it bad that the story that popped into my

92
00:04:32,200 --> 00:04:34,320
Speaker 1: head was when I ripped my pants in front of

93
00:04:34,320 --> 00:04:38,200
Speaker 1: the entire eighth grade class at our school picnic because

94
00:04:38,240 --> 00:04:40,840
Speaker 1: I was wearing way too skinny of jeans playing basketball

95
00:04:40,880 --> 00:04:43,640
Speaker 1: and my pants ripped and I was wearing PMI red

96
00:04:43,640 --> 00:04:50,240
Speaker 1: onties and pants ripped, so like my entire butt.

97
00:04:50,560 --> 00:04:52,160
Speaker 3: No, that's got to leave some scars.

98
00:04:52,480 --> 00:04:56,479
Speaker 1: Yeah, that for me as a person that I feel

99
00:04:56,480 --> 00:04:59,240
Speaker 1: like you just fucked the Yeah. But that was my fun,

100
00:04:59,279 --> 00:05:02,520
Speaker 1: non incriminated story from you less the time. It's very

101
00:05:03,920 --> 00:05:08,040
Speaker 1: from the entire eighth class that are like graduation picnic.

102
00:05:09,000 --> 00:05:09,480
Speaker 5: Yeah.

103
00:05:09,600 --> 00:05:11,839
Speaker 2: I love that you would like skinny jeans Icarus, Like

104
00:05:11,880 --> 00:05:12,640
Speaker 2: that's something.

105
00:05:12,400 --> 00:05:18,240
Speaker 7: That why why the.

106
00:05:18,200 --> 00:05:19,360
Speaker 2: Way things were back then?

107
00:05:19,360 --> 00:05:21,800
Speaker 1: And I know, I know, Robert, you have to have

108
00:05:21,800 --> 00:05:22,480
Speaker 1: a fun one.

109
00:05:22,720 --> 00:05:26,920
Speaker 2: I do, I do. What's the statute limitations on murder? Uh? No,

110
00:05:27,040 --> 00:05:28,960
Speaker 2: very couple of weeks.

111
00:05:28,960 --> 00:05:30,640
Speaker 1: You're fine, buddy, You're fine.

112
00:05:31,000 --> 00:05:33,840
Speaker 2: Now, I'll tell I'll tell a pants splitting story too.

113
00:05:33,839 --> 00:05:36,279
Speaker 2: I got a really good one, Sovie. So I'm in

114
00:05:36,440 --> 00:05:39,039
Speaker 2: I'm in rural northern India in this town called Rishikesh,

115
00:05:39,080 --> 00:05:40,960
Speaker 2: which is where like it's where like the Beatles had

116
00:05:41,000 --> 00:05:43,160
Speaker 2: their ashrom It's like a holy city. There's a lot

117
00:05:43,200 --> 00:05:45,920
Speaker 2: of yoga there. You're up in like the Himalayan foothills.

118
00:05:45,920 --> 00:05:48,320
Speaker 2: It's beautiful. The Goan Jesus is actually like clean enough

119
00:05:48,320 --> 00:05:51,479
Speaker 2: to swim in up there, but it's also crazy whitewater rapids.

120
00:05:51,480 --> 00:05:54,920
Speaker 2: And we're going like whitewater rafting one day and I

121
00:05:54,920 --> 00:05:56,920
Speaker 2: grab I buy a pair of like pants that are

122
00:05:56,960 --> 00:05:59,839
Speaker 2: like it's like it's like a long set of like

123
00:06:00,040 --> 00:06:02,840
Speaker 2: athletic you know, tights or whatever like that to have

124
00:06:02,920 --> 00:06:05,120
Speaker 2: on the boat because like, okay, that'll that'll make sense.

125
00:06:05,160 --> 00:06:06,920
Speaker 2: They zip so I can keep you know, some cash

126
00:06:07,000 --> 00:06:10,680
Speaker 2: or whatever in them. And we're going down the Ganjis.

127
00:06:10,680 --> 00:06:12,279
Speaker 2: We're doing this white water raft and we hit a

128
00:06:12,279 --> 00:06:14,479
Speaker 2: calm spot and the guy's like, okay, everybody wants to

129
00:06:14,480 --> 00:06:17,360
Speaker 2: get in the water, hop out, and I hop out,

130
00:06:17,440 --> 00:06:21,480
Speaker 2: And immediately two things become clear. Number One, the quality

131
00:06:21,480 --> 00:06:24,480
Speaker 2: of textiles that you purchase in a market in India

132
00:06:24,640 --> 00:06:26,920
Speaker 2: not necessarily up to the standards of a lot of

133
00:06:26,960 --> 00:06:30,560
Speaker 2: other countries. Number Two, the Ganji's mighty river. So my

134
00:06:30,760 --> 00:06:35,240
Speaker 2: pants immediately are gone, like just instantly, as soon as

135
00:06:35,240 --> 00:06:38,480
Speaker 2: they're in the water, torn off by the Ganjies. And

136
00:06:38,520 --> 00:06:41,640
Speaker 2: then I am so I am realizing this that now

137
00:06:41,680 --> 00:06:44,080
Speaker 2: I am naked from the waist down. We are surrounded

138
00:06:44,120 --> 00:06:46,839
Speaker 2: on both sides by a very holy city and we

139
00:06:46,880 --> 00:06:48,800
Speaker 2: are heading towards the rocks, so I have to get

140
00:06:48,839 --> 00:06:52,599
Speaker 2: back in the boat in fairly short order. This presents

141
00:06:52,640 --> 00:06:57,320
Speaker 2: a problem because again, as we're getting like buffalo buffeted around,

142
00:06:57,360 --> 00:06:59,839
Speaker 2: I have to get like help pulled up into the boat.

143
00:07:03,600 --> 00:07:06,680
Speaker 2: Absolutely everything moving on the entire side of.

144
00:07:06,640 --> 00:07:08,520
Speaker 1: This secret city.

145
00:07:08,600 --> 00:07:11,880
Speaker 2: So now I'm in the boat naked from the waist down.

146
00:07:12,000 --> 00:07:13,440
Speaker 2: But I come up with a plan. I did I

147
00:07:13,440 --> 00:07:15,160
Speaker 2: do solve it. I take my shirt off and I

148
00:07:15,200 --> 00:07:18,280
Speaker 2: put my legs through the armholes and neck hole and

149
00:07:18,320 --> 00:07:23,880
Speaker 2: I'm just my pants my shirt is what a sight?

150
00:07:24,040 --> 00:07:24,880
Speaker 2: We went to lunch.

151
00:07:24,960 --> 00:07:33,080
Speaker 5: That way's still a restaurant there where they won't let Robert.

152
00:07:32,760 --> 00:07:36,240
Speaker 2: Still, James, there's more than one restaurant in the I

153
00:07:36,320 --> 00:07:36,920
Speaker 2: can't go back.

154
00:07:37,160 --> 00:07:40,920
Speaker 5: Yeah, there's a hotel in Bangkok that neither of us

155
00:07:40,960 --> 00:07:41,600
Speaker 5: can go back to.

156
00:07:41,760 --> 00:07:45,440
Speaker 2: But no, they handled you puking in the parking lot

157
00:07:45,480 --> 00:07:46,160
Speaker 2: like a trooper.

158
00:07:46,280 --> 00:07:49,840
Speaker 5: Yeah, because I puked directly into my analogy, like considering.

159
00:07:49,520 --> 00:07:52,280
Speaker 2: Exactly like a hero, like a hero, James.

160
00:07:52,920 --> 00:07:56,640
Speaker 5: And then send a picture to Sophie. Yeah, yeah, that

161
00:07:56,800 --> 00:07:58,680
Speaker 5: was before I worked here. I sent a picture to

162
00:07:58,720 --> 00:07:59,760
Speaker 5: Sophie of analogy for.

163
00:07:59,840 --> 00:08:03,480
Speaker 1: The and I was like, let's hire that guy.

164
00:08:03,640 --> 00:08:06,160
Speaker 2: Yeah. I feel like it was thirty seconds into our

165
00:08:06,200 --> 00:08:08,600
Speaker 2: relationship that I told Sophia a story about meat puking,

166
00:08:08,720 --> 00:08:09,840
Speaker 2: So it's fine.

167
00:08:10,040 --> 00:08:12,560
Speaker 1: It was like fifteen seconds. Yeah, yeah, it might have

168
00:08:12,600 --> 00:08:15,720
Speaker 1: been fifteen anyways, Robert, can we get an update to

169
00:08:15,760 --> 00:08:17,160
Speaker 1: the sequel of After the Revolution?

170
00:08:18,200 --> 00:08:20,680
Speaker 2: It's done, I'm editing it. I even got edits back

171
00:08:20,720 --> 00:08:22,760
Speaker 2: from my editor. I'm editing it. It should have been

172
00:08:22,760 --> 00:08:25,640
Speaker 2: done so much faster. I could like bring up the

173
00:08:25,640 --> 00:08:27,640
Speaker 2: fact that my dad died last year, but that's really

174
00:08:27,680 --> 00:08:29,600
Speaker 2: just me trying to make you feel sorry for me,

175
00:08:29,720 --> 00:08:31,800
Speaker 2: and the fact that I am well past the time

176
00:08:31,840 --> 00:08:34,320
Speaker 2: at which I expected to have this book done. But

177
00:08:34,400 --> 00:08:37,160
Speaker 2: it is done and I'm finishing it and you will

178
00:08:37,200 --> 00:08:38,920
Speaker 2: get to read it soon. I'm sorry.

179
00:08:39,360 --> 00:08:40,800
Speaker 3: Good for you, Good for you, Robert.

180
00:08:41,120 --> 00:08:46,240
Speaker 1: Wow, incredible. Do you plan to cover recent political developments

181
00:08:46,240 --> 00:08:48,000
Speaker 1: in Canada? I feel like that's a gair question.

182
00:08:48,520 --> 00:08:50,160
Speaker 3: Yeah, the answer is always yes.

183
00:08:50,360 --> 00:08:52,080
Speaker 2: The answer is yes to all of like, yes, we

184
00:08:52,160 --> 00:08:53,200
Speaker 2: will be covering Canada.

185
00:08:53,200 --> 00:08:54,520
Speaker 3: I mean, especially Alberta.

186
00:08:54,559 --> 00:08:58,240
Speaker 4: I've been wanting to do stuff on Alberta and the

187
00:08:58,280 --> 00:09:01,520
Speaker 4: Conservative Party. There few of the key figures for a

188
00:09:01,600 --> 00:09:04,440
Speaker 4: while I've you know, we've all been busy, but yes,

189
00:09:04,480 --> 00:09:07,440
Speaker 4: I should eventually do a dedicated thing I get like

190
00:09:07,600 --> 00:09:11,160
Speaker 4: and I do occasionally, right, usually usually once or twice

191
00:09:11,160 --> 00:09:11,600
Speaker 4: a year, I.

192
00:09:11,520 --> 00:09:13,400
Speaker 3: Try to get some Canada related things out.

193
00:09:13,320 --> 00:09:16,480
Speaker 5: Talked about Canada, Gary and I I feel like did something.

194
00:09:16,800 --> 00:09:17,400
Speaker 3: Yeah, i'd like.

195
00:09:17,720 --> 00:09:21,000
Speaker 4: The Canadian election happened this year, right, Supreme leader carneis

196
00:09:21,200 --> 00:09:24,080
Speaker 4: it is still still in power and will be for

197
00:09:24,120 --> 00:09:27,360
Speaker 4: a while. But yeah, specifically the Alberta Conservative Party is

198
00:09:28,080 --> 00:09:29,760
Speaker 4: rife with potential stories.

199
00:09:30,120 --> 00:09:32,640
Speaker 1: My recent political development in Canada that I would like

200
00:09:32,679 --> 00:09:36,160
Speaker 1: to talk about is what's his name? Dating Katy Perry?

201
00:09:36,440 --> 00:09:39,480
Speaker 1: Oh god, because it makes me upset.

202
00:09:39,520 --> 00:09:41,559
Speaker 3: Wait, who, that's not our problem anymore.

203
00:09:41,559 --> 00:09:46,520
Speaker 5: That's one famous Canadian person is It's justin It's just famous.

204
00:09:46,440 --> 00:09:49,839
Speaker 1: Jesus not Beiver Trudeau.

205
00:09:50,480 --> 00:09:52,480
Speaker 2: Okay, still bad, still weird.

206
00:09:52,480 --> 00:09:56,319
Speaker 4: Tudeau and Katy Perry are dating, a match made in Heaven.

207
00:09:56,960 --> 00:10:01,119
Speaker 1: Their Instagram official and the photos upsetting.

208
00:10:01,360 --> 00:10:03,480
Speaker 2: I do feel like this is the potential we have

209
00:10:03,520 --> 00:10:06,400
Speaker 2: a potential for, like the one ring of couples Halloween

210
00:10:06,440 --> 00:10:09,600
Speaker 2: costumes situation to happen here, and I'm excited for that.

211
00:10:10,440 --> 00:10:12,960
Speaker 4: But no, I'm living pretty close to Canada now, so

212
00:10:13,000 --> 00:10:14,760
Speaker 4: I would like to travel up and do more Canadian

213
00:10:14,760 --> 00:10:15,720
Speaker 4: stuff in the next year.

214
00:10:15,800 --> 00:10:17,679
Speaker 2: Yeah, you love Canada, Garrison, great idea.

215
00:10:18,200 --> 00:10:18,520
Speaker 1: Yeah.

216
00:10:18,640 --> 00:10:21,439
Speaker 2: Yeah. As a general rule, people, if you're ever asking, hey,

217
00:10:21,440 --> 00:10:23,559
Speaker 2: this major thing is happening in another country, are you

218
00:10:23,559 --> 00:10:25,920
Speaker 2: guys going to cover it? The answer is probably yes.

219
00:10:25,960 --> 00:10:27,840
Speaker 2: But there are how many people are on this call?

220
00:10:28,240 --> 00:10:31,760
Speaker 2: Five people, and there are I believe ten countries in

221
00:10:31,800 --> 00:10:32,880
Speaker 2: the world at least.

222
00:10:33,040 --> 00:10:35,079
Speaker 4: So many A saying more, Well, everyone's in a while,

223
00:10:35,120 --> 00:10:36,720
Speaker 4: this is a civil war, and one of those splits

224
00:10:36,720 --> 00:10:39,400
Speaker 4: into two, so I think there's actually eleven countries right now.

225
00:10:40,080 --> 00:10:42,160
Speaker 2: Is somewhere between five and eleven countries.

226
00:10:42,320 --> 00:10:44,920
Speaker 5: Yeah, Well, ironically, when there is a civil war, there's

227
00:10:44,960 --> 00:10:45,760
Speaker 5: a decent chance.

228
00:10:45,760 --> 00:10:47,960
Speaker 2: So I'll be traveling there and the next twelve months.

229
00:10:48,440 --> 00:10:51,440
Speaker 2: We have a pretty broad remit here, and I do

230
00:10:51,480 --> 00:10:54,000
Speaker 2: think we cover a lot of ground. But again, you know,

231
00:10:54,040 --> 00:10:56,840
Speaker 2: there's there's only so many people on the team, and

232
00:10:56,920 --> 00:10:58,960
Speaker 2: we have so many days in the week. So the

233
00:10:59,040 --> 00:11:02,439
Speaker 2: answer is generally, if we think we can and have

234
00:11:02,520 --> 00:11:04,720
Speaker 2: more to tell you than like here's an article I read,

235
00:11:04,720 --> 00:11:06,800
Speaker 2: we'll try to do it. But yeah, you know, world

236
00:11:06,800 --> 00:11:10,040
Speaker 2: big us small, Yeah.

237
00:11:09,800 --> 00:11:11,959
Speaker 5: Yeah, and there are other people who do excellent work

238
00:11:12,000 --> 00:11:14,240
Speaker 5: on lost of things, so like, you know, we don't

239
00:11:14,280 --> 00:11:14,960
Speaker 5: have to cover everything.

240
00:11:15,679 --> 00:11:17,800
Speaker 3: God, I missed the trucker convoy. That was fun.

241
00:11:17,920 --> 00:11:22,479
Speaker 2: That was ago about that? What about Roma Diadlou.

242
00:11:22,800 --> 00:11:25,600
Speaker 5: She's still kicking around Canada, Queen of Canada.

243
00:11:25,800 --> 00:11:27,800
Speaker 2: She got arrested recently. I don't know if she's out

244
00:11:27,840 --> 00:11:31,360
Speaker 2: on bail or whatever they call it and poutine bail

245
00:11:31,520 --> 00:11:33,560
Speaker 2: or whatever in Canada, but they kind of arrest her

246
00:11:33,600 --> 00:11:38,920
Speaker 2: rob it because she's the queen. Anyways, notes about that.

247
00:11:39,080 --> 00:11:42,440
Speaker 1: Yeah, what's a fiction book that y'all have been reading lately?

248
00:11:43,480 --> 00:11:43,680
Speaker 2: Ooh?

249
00:11:44,520 --> 00:11:47,120
Speaker 1: My answer is I work too much. I haven't read

250
00:11:47,200 --> 00:11:48,520
Speaker 1: any good fiction book lately.

251
00:11:49,320 --> 00:11:52,199
Speaker 3: I've been reading a sci fi book called Children of Time.

252
00:11:52,720 --> 00:11:53,160
Speaker 2: Oh good.

253
00:11:53,280 --> 00:11:55,640
Speaker 3: Oh, Adrian Tracossi, great guy.

254
00:11:56,080 --> 00:12:00,360
Speaker 5: Yes, I just read Winter in Madrid because even when

255
00:12:00,400 --> 00:12:02,240
Speaker 5: I'm reading fiction books, it still has to be about

256
00:12:02,240 --> 00:12:03,160
Speaker 5: a Spanish civil war.

257
00:12:03,600 --> 00:12:08,000
Speaker 2: Yeah, so funny that makes sense for you, James, load

258
00:12:08,040 --> 00:12:12,680
Speaker 2: bearing element of my personality. I'm restarting Sirens of Titan

259
00:12:12,720 --> 00:12:14,199
Speaker 2: for the first time since I was a little kid,

260
00:12:14,200 --> 00:12:17,960
Speaker 2: which is Kurt Vonnegut's sci fi novel, and like everything

261
00:12:18,040 --> 00:12:20,600
Speaker 2: Kurt Vonnegut wrote one of the best to ever do it,

262
00:12:20,960 --> 00:12:22,680
Speaker 2: and then you know, I was on vacation, so I

263
00:12:22,679 --> 00:12:26,120
Speaker 2: was just rereading some Warhammer books to not think about

264
00:12:26,120 --> 00:12:29,040
Speaker 2: the news when I needed to look at a device.

265
00:12:29,679 --> 00:12:33,520
Speaker 1: Yeah, I'm gonna try to take a little time off

266
00:12:33,720 --> 00:12:36,000
Speaker 1: around the holiday. So if people have good fiction books

267
00:12:36,320 --> 00:12:39,000
Speaker 1: to recommend me, message me on Blue Sky.

268
00:12:39,960 --> 00:12:42,880
Speaker 3: I've been listening to Oh God, like the entire Kate

269
00:12:42,960 --> 00:12:46,199
Speaker 3: Daniels series, which is a very fun sort of urban

270
00:12:46,240 --> 00:12:49,800
Speaker 3: fantasy series where they have a magic apocalypse where sometimes

271
00:12:49,840 --> 00:12:53,199
Speaker 3: there's these magic waves and magic works and technology stops working,

272
00:12:53,200 --> 00:12:56,360
Speaker 3: but then they just flip randomly and so technology works

273
00:12:56,360 --> 00:12:56,640
Speaker 3: in magic.

274
00:12:56,840 --> 00:12:58,920
Speaker 2: Yeah, that's basically the plot line to Shatter On. Yeah.

275
00:12:59,160 --> 00:13:03,280
Speaker 3: Yeah, it's it's fun. I got absolutely flash being jump

276
00:13:03,320 --> 00:13:06,000
Speaker 3: scared by one of the characters and one of the

277
00:13:06,000 --> 00:13:09,880
Speaker 3: spinoffs doing a full analysis of the whole translation debacle

278
00:13:09,920 --> 00:13:11,920
Speaker 3: of the Old World is dying, the New World struggles

279
00:13:11,920 --> 00:13:13,880
Speaker 3: to be born. Now is a time of monsters, which

280
00:13:13,920 --> 00:13:16,480
Speaker 3: I was not expecting the author of this fantasy book

281
00:13:16,559 --> 00:13:21,760
Speaker 3: to know about. So it's a fun time. Yeah, there's

282
00:13:21,800 --> 00:13:25,440
Speaker 3: where lions, there's where hyaenas. It's good we'd like to

283
00:13:25,440 --> 00:13:26,240
Speaker 3: see it cool.

284
00:13:26,960 --> 00:13:29,680
Speaker 1: Well, we're going to take a quick break and we'll

285
00:13:29,679 --> 00:13:43,360
Speaker 1: come back and continue answering some questions. We're back, so

286
00:13:44,320 --> 00:13:47,400
Speaker 1: on that note, there's a broader question and it's a

287
00:13:47,440 --> 00:13:50,760
Speaker 1: favorite media from twenty twenty five can be books, shows, movies, games,

288
00:13:50,760 --> 00:13:51,199
Speaker 1: et cetera.

289
00:13:52,200 --> 00:13:54,480
Speaker 2: I mean, and Or's gonna be up there for me.

290
00:13:54,559 --> 00:13:56,720
Speaker 3: Indoor season two is definitely going to be high to be.

291
00:13:58,880 --> 00:14:02,560
Speaker 1: I really enjoyed that that new show, The Pit, the

292
00:14:02,600 --> 00:14:03,200
Speaker 1: medical show.

293
00:14:03,200 --> 00:14:04,280
Speaker 2: Oh yeah, I've heard good things.

294
00:14:04,520 --> 00:14:05,400
Speaker 3: Yeah you would like that.

295
00:14:05,559 --> 00:14:06,679
Speaker 1: I liked it.

296
00:14:06,679 --> 00:14:08,240
Speaker 3: It made me dizzy.

297
00:14:07,960 --> 00:14:09,320
Speaker 7: But I liked it.

298
00:14:09,320 --> 00:14:11,400
Speaker 1: It was interesting. I mean, we'll see how it does

299
00:14:11,400 --> 00:14:14,640
Speaker 1: it in season two. But the first season I was like, huh.

300
00:14:14,080 --> 00:14:17,080
Speaker 2: I finally started watching that smiling Friends show. And that's fun.

301
00:14:17,200 --> 00:14:20,240
Speaker 3: Oh cool for for TV shows for me.

302
00:14:20,560 --> 00:14:24,600
Speaker 4: Besides like and Orch's which is good, I think Rehearsal

303
00:14:24,600 --> 00:14:26,880
Speaker 4: season two and the Paramount Nazi.

304
00:14:26,680 --> 00:14:32,800
Speaker 2: Episode season two. Yeah, it's more and more after phenomenal.

305
00:14:32,880 --> 00:14:35,440
Speaker 4: As well as Tim Robinson's new show Chair Company, which

306
00:14:35,440 --> 00:14:39,960
Speaker 4: I gets to the American conspiracy mindset better than almost

307
00:14:39,960 --> 00:14:42,600
Speaker 4: anything I've seen. No parts of that are like rival

308
00:14:42,680 --> 00:14:44,800
Speaker 4: that can film. Yeah, I still think. I still think

309
00:14:44,840 --> 00:14:47,360
Speaker 4: Eddington is pretty good. It doesn't have as much like

310
00:14:47,400 --> 00:14:50,160
Speaker 4: a depth or humanity as like one battle after another,

311
00:14:50,600 --> 00:14:52,280
Speaker 4: which I quite enjoyed.

312
00:14:52,360 --> 00:14:54,520
Speaker 2: I liked that a lot too. I watched the first

313
00:14:54,560 --> 00:14:56,760
Speaker 2: two episodes of Chair Company and then was like, I

314
00:14:56,800 --> 00:14:58,680
Speaker 2: need to wait until they are all out so I

315
00:14:58,760 --> 00:15:02,080
Speaker 2: can derange myself and like stay up until dawn watch. Oh,

316
00:15:02,360 --> 00:15:04,600
Speaker 2: so that's that's the way I need to encounter this.

317
00:15:05,200 --> 00:15:06,280
Speaker 2: But I'm excited for that.

318
00:15:06,360 --> 00:15:10,080
Speaker 4: I finished care Company now and it consistently keeps hitting. Yeah.

319
00:15:10,200 --> 00:15:14,000
Speaker 2: I don't think Tim Robinson is capable of not pleasing

320
00:15:14,040 --> 00:15:14,840
Speaker 2: me at this point.

321
00:15:16,480 --> 00:15:18,840
Speaker 3: That's good. That's a healthy relationship.

322
00:15:18,920 --> 00:15:19,440
Speaker 4: Yeah.

323
00:15:19,480 --> 00:15:23,800
Speaker 1: I liked on on Netflix's Adolescence that that mini series

324
00:15:23,840 --> 00:15:27,480
Speaker 1: that was pretty good. That the acting is incredible. There's

325
00:15:27,560 --> 00:15:30,080
Speaker 1: just so many things this year that we're pretty decent.

326
00:15:30,360 --> 00:15:31,360
Speaker 2: TV has been good.

327
00:15:31,480 --> 00:15:32,360
Speaker 1: TV's been good.

328
00:15:32,560 --> 00:15:33,480
Speaker 2: TV has been good.

329
00:15:34,320 --> 00:15:35,160
Speaker 1: Yeah.

330
00:15:35,360 --> 00:15:37,800
Speaker 3: I haven't watched shit. I've just watched I've watched and

331
00:15:37,960 --> 00:15:42,080
Speaker 3: Or and nothing else. So, uh, Hades too great game,

332
00:15:42,400 --> 00:15:46,040
Speaker 3: very fun. Yeah, det the cronos, et cetera, et cetera. Also,

333
00:15:46,080 --> 00:15:47,680
Speaker 3: I want to talk about One of the Boys, which

334
00:15:47,680 --> 00:15:49,680
Speaker 3: is a book from the beginning of this year. We

335
00:15:49,760 --> 00:15:52,560
Speaker 3: talked about on the show that's a really really interesting

336
00:15:52,920 --> 00:15:54,920
Speaker 3: basically like sort of like a coming of age story

337
00:15:54,960 --> 00:15:56,720
Speaker 3: about a trans girl who's trying to go who goes

338
00:15:56,760 --> 00:15:58,720
Speaker 3: back to her football team, and there's a lot of

339
00:15:58,800 --> 00:16:02,640
Speaker 3: really interesting stuff there about the relationship between transfemininity and masculinity,

340
00:16:02,960 --> 00:16:07,760
Speaker 3: and you know, the sort of politics of sports. And

341
00:16:08,800 --> 00:16:12,680
Speaker 3: it's also just really fun. Has the best written group

342
00:16:12,760 --> 00:16:15,120
Speaker 3: chats I've ever seen in any piece of media. So

343
00:16:15,440 --> 00:16:19,600
Speaker 3: ship Rocks. Yeah, it's it's great. One of the boys,

344
00:16:19,640 --> 00:16:21,160
Speaker 3: Victoria Zeller, It's it's fun.

345
00:16:21,920 --> 00:16:25,520
Speaker 2: I also watched Paradise. The ostensible focus on the show

346
00:16:25,560 --> 00:16:28,520
Speaker 2: is that like a secret service agent goes to live

347
00:16:28,560 --> 00:16:30,960
Speaker 2: with a president who is retired after like you know

348
00:16:31,000 --> 00:16:33,680
Speaker 2: how the detail that they stay with and it becomes

349
00:16:33,720 --> 00:16:35,800
Speaker 2: clear over the course of episode one this isn't really

350
00:16:35,840 --> 00:16:39,720
Speaker 2: a spoiler, that the president is living in an underground

351
00:16:39,840 --> 00:16:42,280
Speaker 2: bunker with all of the other survivors of a catastrophe

352
00:16:42,320 --> 00:16:44,360
Speaker 2: that ended the world. And so it's like all of

353
00:16:44,400 --> 00:16:47,560
Speaker 2: the leadership cadre of the United States living underground in

354
00:16:47,600 --> 00:16:50,240
Speaker 2: a bunker after the world has ended. And then it

355
00:16:50,280 --> 00:16:53,360
Speaker 2: turns into a murder mystery it's pretty good. It's fun nice.

356
00:16:53,720 --> 00:16:57,360
Speaker 5: I don't watch much TV, yeah, but I have been

357
00:16:57,480 --> 00:17:01,760
Speaker 5: enjoying sticking to the theme, I guess yes. AK Press

358
00:17:01,880 --> 00:17:05,000
Speaker 5: have a translation now of two books that I very

359
00:17:05,080 --> 00:17:10,320
Speaker 5: much enjoyed reading in other languages. One is called Zadagosa Bound,

360
00:17:10,400 --> 00:17:12,920
Speaker 5: which is exclusively about the Diruti Column. I think it's

361
00:17:13,040 --> 00:17:15,280
Speaker 5: probably the best book I've read on the Doruti Column

362
00:17:15,800 --> 00:17:19,440
Speaker 5: and Sons of Night by Antoine Juminez, who was actually

363
00:17:19,760 --> 00:17:21,840
Speaker 5: that was not his birth name, but he was an

364
00:17:21,880 --> 00:17:26,199
Speaker 5: Italian anarchist who fought with the International Group of the

365
00:17:26,240 --> 00:17:26,960
Speaker 5: Druti Column.

366
00:17:27,000 --> 00:17:27,960
Speaker 2: And it's his diary.

367
00:17:28,160 --> 00:17:31,119
Speaker 5: And then he later like in later life, was a

368
00:17:31,200 --> 00:17:35,560
Speaker 5: groundskeeper at like the Libertarian People's Club in Marseille, and

369
00:17:35,720 --> 00:17:38,600
Speaker 5: after his passing, the young people at the club found

370
00:17:38,640 --> 00:17:41,440
Speaker 5: his diaries, published him and then have these like incredible

371
00:17:41,480 --> 00:17:43,639
Speaker 5: series of annotations, Like two thirty of the book is

372
00:17:43,680 --> 00:17:44,440
Speaker 5: its annotations.

373
00:17:44,480 --> 00:17:46,199
Speaker 2: But it's really well done. So I like that one.

374
00:17:46,240 --> 00:17:49,080
Speaker 1: Look, I think I can answer this next one, given

375
00:17:49,200 --> 00:17:51,520
Speaker 1: how we see media companies from Disney to Conde and

376
00:17:51,520 --> 00:17:55,359
Speaker 1: ask purge or otherwise censor anyone is centing against Trump.

377
00:17:55,440 --> 00:17:59,199
Speaker 1: Do you fear iHeartRadio doing something to cool zone. My

378
00:17:59,280 --> 00:18:03,760
Speaker 1: answer is they've never uh, they've never censored us in

379
00:18:03,800 --> 00:18:06,440
Speaker 1: the in the past, so I don't see it happening

380
00:18:06,440 --> 00:18:07,719
Speaker 1: in the future, but you never know.

381
00:18:08,400 --> 00:18:11,479
Speaker 2: Yeah, I mean, anything can happen. It's media. I'm on

382
00:18:11,520 --> 00:18:14,240
Speaker 2: my third or fourth industry depending on how you count it,

383
00:18:14,280 --> 00:18:18,120
Speaker 2: within the digital media space. But like what I'll tell

384
00:18:18,119 --> 00:18:20,399
Speaker 2: you right now is that at the moment, and this

385
00:18:20,440 --> 00:18:22,800
Speaker 2: has been true for almost a decade, we make them

386
00:18:23,040 --> 00:18:26,680
Speaker 2: money and they in return say, keep doing what you're doing,

387
00:18:26,760 --> 00:18:28,280
Speaker 2: kid kiddos, buccaroos.

388
00:18:28,440 --> 00:18:28,840
Speaker 1: Yeah.

389
00:18:28,880 --> 00:18:31,240
Speaker 2: So yeah, that's about as good as it ever gets

390
00:18:31,720 --> 00:18:34,720
Speaker 2: in media, in journalism. So you know, let's keep our

391
00:18:34,760 --> 00:18:35,359
Speaker 2: fingers crossed.

392
00:18:35,600 --> 00:18:39,040
Speaker 1: Yep. What was a piece or series cools one media

393
00:18:39,080 --> 00:18:41,520
Speaker 1: put together in the past year twenty twenty five that

394
00:18:41,600 --> 00:18:44,320
Speaker 1: you were most proud or happy to be part of?

395
00:18:45,000 --> 00:18:45,880
Speaker 3: What about you, gare?

396
00:18:46,680 --> 00:18:49,840
Speaker 4: Probably The piece that I'm most proud of in like

397
00:18:49,880 --> 00:18:55,000
Speaker 4: a reflective sense is the dog Whistle Politics episode I did.

398
00:18:55,040 --> 00:18:58,720
Speaker 4: I still think that's really relevant and a useful addition

399
00:18:59,480 --> 00:19:02,399
Speaker 4: to like our cultural dialogue around understanding dog whistles coming

400
00:19:02,440 --> 00:19:03,480
Speaker 4: out of the Trump administration.

401
00:19:04,320 --> 00:19:06,000
Speaker 3: And like even still now I.

402
00:19:05,960 --> 00:19:12,600
Speaker 4: Will see see posts with people decoding false messages in

403
00:19:13,040 --> 00:19:17,879
Speaker 4: overtly like nationalistic communications from the DHS again. And then

404
00:19:17,920 --> 00:19:20,560
Speaker 4: this whole focus on like dog whistles versus the actual

405
00:19:20,600 --> 00:19:24,080
Speaker 4: implementation of their policy, which they're already doing. A few

406
00:19:24,119 --> 00:19:27,560
Speaker 4: times this year, DHS is posted just very very blatant,

407
00:19:27,560 --> 00:19:30,120
Speaker 4: like fast wave stuff. They posted a moon Man meme

408
00:19:30,280 --> 00:19:34,560
Speaker 4: earlier this year, right, And if if you told years

409
00:19:34,560 --> 00:19:37,200
Speaker 4: ago we would have like I don't know, I don't

410
00:19:37,200 --> 00:19:37,800
Speaker 4: know what we would have.

411
00:19:38,119 --> 00:19:40,040
Speaker 2: I would have had I would have fifty one fifty

412
00:19:40,080 --> 00:19:42,560
Speaker 2: to your Yeah, yeah, I would have put your ass

413
00:19:42,560 --> 00:19:43,760
Speaker 2: on a seventy two hour hold.

414
00:19:44,040 --> 00:19:46,359
Speaker 4: So, like there's obvious stuff like that, like yeah, no,

415
00:19:46,400 --> 00:19:51,359
Speaker 4: they're they're clearly clearly doing like intentional nods towards like

416
00:19:51,400 --> 00:19:55,640
Speaker 4: online fascist memes. And then they are also just posting regular,

417
00:19:55,920 --> 00:19:59,360
Speaker 4: regular sentiments of like nationalist policy that people are then

418
00:19:59,440 --> 00:20:02,600
Speaker 4: reading in coded statements too. And I don't think that

419
00:20:03,080 --> 00:20:06,240
Speaker 4: whole practice is super useful when they're actually implementing this stuff.

420
00:20:06,280 --> 00:20:08,840
Speaker 4: And I think the sort of like anti ice protests

421
00:20:08,840 --> 00:20:12,240
Speaker 4: you see in Chicago and like in New York on

422
00:20:12,280 --> 00:20:15,199
Speaker 4: Connall Street, it's a way more useful way to channel

423
00:20:15,280 --> 00:20:18,480
Speaker 4: frustration at the administration and like a frustration around like

424
00:20:18,760 --> 00:20:21,840
Speaker 4: this nationalist immigration stuff rather than trying to you know,

425
00:20:21,880 --> 00:20:26,120
Speaker 4: look for these maybe real, maybe not coded messages on

426
00:20:26,720 --> 00:20:27,639
Speaker 4: X the Everything app.

427
00:20:28,400 --> 00:20:32,320
Speaker 2: Yeah, I'm proud of the Zizzian episodes that I did

428
00:20:32,400 --> 00:20:34,680
Speaker 2: earlier this year. I think those are my best episodes

429
00:20:34,680 --> 00:20:38,040
Speaker 2: of the year. You know, I'm particularly this year have

430
00:20:38,080 --> 00:20:41,240
Speaker 2: done a lot more back end supporting work. But I'm

431
00:20:41,440 --> 00:20:45,040
Speaker 2: continue to be extremely proud of how Ed Zitron's both

432
00:20:45,080 --> 00:20:48,280
Speaker 2: show and influence in the industry that he covers has grown,

433
00:20:48,800 --> 00:20:51,240
Speaker 2: especially as he's been really on the ball ahead of

434
00:20:51,320 --> 00:20:57,040
Speaker 2: some of the breaking of open ais irrational Exuberants. Been

435
00:20:57,080 --> 00:21:00,640
Speaker 2: really happy to play a small role in that. It's

436
00:21:00,680 --> 00:21:04,600
Speaker 2: just really satisfying to like stumble onto somebody and be like, oh,

437
00:21:04,720 --> 00:21:07,560
Speaker 2: I think this person has some good things to say.

438
00:21:07,640 --> 00:21:09,480
Speaker 2: I'm going to try to get that out to more people,

439
00:21:09,880 --> 00:21:12,080
Speaker 2: and then really feel like, yeah, that was that was

440
00:21:12,080 --> 00:21:15,240
Speaker 2: the right call. Turns out this was exactly the voice

441
00:21:15,240 --> 00:21:17,199
Speaker 2: that needed to be louder in this space. That just

442
00:21:17,200 --> 00:21:19,280
Speaker 2: feels good. It's it's the kind of it's the kind

443
00:21:19,280 --> 00:21:21,480
Speaker 2: of good feeling that you only really get in this business,

444
00:21:21,560 --> 00:21:24,400
Speaker 2: and it really makes up for all of the bad

445
00:21:24,400 --> 00:21:26,360
Speaker 2: feelings that you also only get in this business.

446
00:21:27,000 --> 00:21:32,160
Speaker 3: Yeah, yeah, yeah. I think I have two things. One,

447
00:21:32,200 --> 00:21:34,560
Speaker 3: on sort of just a personal level, I'm really proud

448
00:21:34,760 --> 00:21:37,679
Speaker 3: of the episode that I did that was sort of

449
00:21:37,760 --> 00:21:41,880
Speaker 3: about Elon Musks Nazi salute, but was mostly about the

450
00:21:41,920 --> 00:21:45,240
Speaker 3: way that all of our reality has been consumed by

451
00:21:46,119 --> 00:21:48,440
Speaker 3: spectacle and the way that we relate to each other

452
00:21:48,600 --> 00:21:52,000
Speaker 3: through you know, through screens and through like images of

453
00:21:52,000 --> 00:21:53,679
Speaker 3: media in a very you know, so this was this

454
00:21:53,720 --> 00:21:56,840
Speaker 3: was a very guide to board sietyse medical episode. But

455
00:21:57,000 --> 00:21:59,639
Speaker 3: I'm really proud of how that episode played out and

456
00:21:59,720 --> 00:22:02,120
Speaker 3: how I think in a lot of ways it kind

457
00:22:02,160 --> 00:22:05,160
Speaker 3: of it kind of predicted some of what's been happening

458
00:22:05,200 --> 00:22:07,520
Speaker 3: in terms of, you know, if you look at the

459
00:22:07,560 --> 00:22:10,600
Speaker 3: sort of decrease and use of social media over the

460
00:22:10,680 --> 00:22:14,800
Speaker 3: last sort of year and the turnaway from these these

461
00:22:14,840 --> 00:22:18,440
Speaker 3: these social relationships that are purely mediated by images that

462
00:22:18,960 --> 00:22:21,320
Speaker 3: suck and make you miserable all the time. And then

463
00:22:21,359 --> 00:22:23,359
Speaker 3: the other thing that I'm really proud of is some

464
00:22:23,440 --> 00:22:28,439
Speaker 3: coverage we did about the Republicans attempt in one of

465
00:22:28,440 --> 00:22:32,320
Speaker 3: the one of the previous budget fights to impose a

466
00:22:32,440 --> 00:22:36,040
Speaker 3: role that would have blocked medicaid from covering trans Healthcare

467
00:22:36,640 --> 00:22:39,400
Speaker 3: and we covered it and we helped blow it up

468
00:22:39,520 --> 00:22:43,879
Speaker 3: and we help get that killed, and that rocks. I

469
00:22:43,920 --> 00:22:46,320
Speaker 3: don't know, it's awesome. I'm really proud of it. I'm

470
00:22:46,320 --> 00:22:49,440
Speaker 3: also really proud of the trans News Network people. Yeah,

471
00:22:49,480 --> 00:22:52,760
Speaker 3: particularly Medicast again and Miror Levigne who did a really

472
00:22:52,800 --> 00:22:55,840
Speaker 3: great job covering that and helping stop it.

473
00:22:55,880 --> 00:22:56,840
Speaker 2: And it rocks.

474
00:22:57,200 --> 00:22:57,800
Speaker 3: Love to see it.

475
00:22:58,359 --> 00:23:00,880
Speaker 2: I think for me, like still border stuff.

476
00:23:00,920 --> 00:23:03,360
Speaker 5: Really it made me really happy that like last year

477
00:23:03,600 --> 00:23:05,880
Speaker 5: I went to the jungle and made a podcast and

478
00:23:05,920 --> 00:23:08,400
Speaker 5: now one of the people I met has a place

479
00:23:08,440 --> 00:23:11,320
Speaker 5: to live. That's really cool, and like it really makes

480
00:23:11,320 --> 00:23:14,119
Speaker 5: me happy. Like not just when we can like shift

481
00:23:14,119 --> 00:23:18,080
Speaker 5: the discourse, I think that's cool, but also when people

482
00:23:18,760 --> 00:23:20,600
Speaker 5: listen to that and then change the things that they

483
00:23:20,640 --> 00:23:23,159
Speaker 5: do like every day or sometimes like that's always what

484
00:23:24,160 --> 00:23:26,000
Speaker 5: you want. What I want as a journalist is like

485
00:23:26,040 --> 00:23:28,879
Speaker 5: for people to listen and care g That's why I

486
00:23:28,960 --> 00:23:32,720
Speaker 5: go to places, and so it's been really cool to

487
00:23:32,760 --> 00:23:35,919
Speaker 5: see people and just to run into people engaging in

488
00:23:36,000 --> 00:23:38,040
Speaker 5: like mutual aid at the boarder and and then like

489
00:23:38,600 --> 00:23:41,840
Speaker 5: them slowly realize that and the person that they listened

490
00:23:41,840 --> 00:23:43,880
Speaker 5: to on a podcast a year ago or two years ago,

491
00:23:43,960 --> 00:23:46,480
Speaker 5: whatever is kind of funny. But yet I think I'm

492
00:23:46,480 --> 00:23:49,119
Speaker 5: really proud of that, and I'm proud of all the

493
00:23:49,160 --> 00:23:52,560
Speaker 5: people in the second series for all the stuff that

494
00:23:52,560 --> 00:23:53,600
Speaker 5: they've done.

495
00:23:53,840 --> 00:23:56,359
Speaker 1: I'm super proud of the anti vaxxs America series that

496
00:23:56,640 --> 00:24:00,280
Speaker 1: I commissioned Stephen to do. I think it was a

497
00:24:00,359 --> 00:24:03,679
Speaker 1: really good, complete project that covered the story in depth

498
00:24:03,800 --> 00:24:06,400
Speaker 1: more than anyone else. So if you haven't checked that out,

499
00:24:07,200 --> 00:24:07,760
Speaker 1: check it out.

500
00:24:08,640 --> 00:24:09,240
Speaker 3: We're gonna go to.

501
00:24:09,200 --> 00:24:11,720
Speaker 1: Another quick break and then we'll answer a couple more questions.

502
00:24:12,200 --> 00:24:26,000
Speaker 7: Sound good, cool, Yep, we're back all right.

503
00:24:26,720 --> 00:24:31,080
Speaker 1: This question says, as we become jokrified.

504
00:24:30,760 --> 00:24:33,840
Speaker 3: Sure, as we all become jokerified.

505
00:24:33,520 --> 00:24:37,400
Speaker 1: Eventually, what did it for each of you? I mean,

506
00:24:38,080 --> 00:24:40,359
Speaker 1: let's just say, let's let's just answer in like the

507
00:24:40,440 --> 00:24:41,359
Speaker 1: last year.

508
00:24:41,680 --> 00:24:47,360
Speaker 4: Sure not not overall a recent jokrification inciting incident.

509
00:24:47,720 --> 00:24:49,920
Speaker 1: I can answer that, And that might also be care

510
00:24:50,119 --> 00:24:54,080
Speaker 1: since it's one we couldn't get into the DNC for

511
00:24:54,200 --> 00:24:55,560
Speaker 1: comb layers to speech.

512
00:24:55,640 --> 00:24:57,960
Speaker 3: Oh no, that hurt me.

513
00:24:58,520 --> 00:25:01,639
Speaker 1: That hurt me so much because the DNC was so depressing.

514
00:25:02,119 --> 00:25:03,080
Speaker 3: It was so.

515
00:25:03,000 --> 00:25:06,200
Speaker 2: Depressing, and the DNC was way worse than the RNC.

516
00:25:06,280 --> 00:25:09,960
Speaker 3: Post DNC certainly was a jokerrifying moment for me.

517
00:25:10,480 --> 00:25:13,040
Speaker 2: It hurts Garrison. I had people reaching out to me

518
00:25:13,080 --> 00:25:15,920
Speaker 2: in Portland who were worried about you after the DNC.

519
00:25:16,480 --> 00:25:16,680
Speaker 5: Yeah.

520
00:25:16,840 --> 00:25:19,639
Speaker 4: No, the DNC was a jokerifying moment. I guess to

521
00:25:19,760 --> 00:25:22,119
Speaker 4: piggyback off that though in terms of like a recent

522
00:25:22,280 --> 00:25:27,680
Speaker 4: joker moment working on the like Democrat left wing conspiracy

523
00:25:27,720 --> 00:25:28,919
Speaker 4: stuff really did.

524
00:25:28,800 --> 00:25:29,520
Speaker 3: A number on me.

525
00:25:29,720 --> 00:25:33,520
Speaker 4: Yeah, and just like like seeing the scale of that stuff,

526
00:25:33,600 --> 00:25:37,280
Speaker 4: especially around like the Charlie Kirk assassination, and just that

527
00:25:37,280 --> 00:25:41,280
Speaker 4: that that whole moment definitely was like just drilling into

528
00:25:41,280 --> 00:25:41,680
Speaker 4: my head.

529
00:25:42,000 --> 00:25:46,080
Speaker 5: Yeah, those uh like truth tunnels that people went, the.

530
00:25:46,119 --> 00:25:48,320
Speaker 3: Whole team could attest to this. I was getting pretty

531
00:25:48,320 --> 00:25:48,920
Speaker 3: out there.

532
00:25:49,000 --> 00:25:54,040
Speaker 2: Because can't get back to Garrison sustain damage. The uniformity

533
00:25:54,280 --> 00:26:00,000
Speaker 2: of the embrace of counter factuals is like, like, I

534
00:25:59,880 --> 00:26:02,240
Speaker 2: I don't even know what to do about it anymore.

535
00:26:02,280 --> 00:26:07,600
Speaker 2: I don't feel like fact checking works. Yeah, I feel

536
00:26:07,600 --> 00:26:12,000
Speaker 2: like positing alternate facts feels bad too, because then you're

537
00:26:12,040 --> 00:26:13,760
Speaker 2: just like saying, well, I guess we're just openly having

538
00:26:13,800 --> 00:26:15,480
Speaker 2: a life fight. Let's all have a big life fight.

539
00:26:15,560 --> 00:26:16,239
Speaker 2: Let's see who's live.

540
00:26:17,160 --> 00:26:18,679
Speaker 4: Yeah, no, and when you're when you're trying to be

541
00:26:18,720 --> 00:26:21,840
Speaker 4: the only one holding on to like the life raft

542
00:26:21,880 --> 00:26:25,080
Speaker 4: of truth as everyone as everyone else is like drowning

543
00:26:25,119 --> 00:26:26,040
Speaker 4: and like mad at you.

544
00:26:26,520 --> 00:26:29,280
Speaker 3: Yeah, it's like I, yeah, I don't know. You don't

545
00:26:29,320 --> 00:26:30,280
Speaker 3: know how to handle that.

546
00:26:30,640 --> 00:26:31,160
Speaker 5: Yeah.

547
00:26:31,320 --> 00:26:34,800
Speaker 2: Yeah. Whenever I encounter someone who's like, you think Trump

548
00:26:34,840 --> 00:26:39,040
Speaker 2: got shot in the ear, like, yes, yes, I do, Yes,

549
00:26:39,080 --> 00:26:41,440
Speaker 2: in fact, I do think he got shot in the ear.

550
00:26:42,080 --> 00:26:45,640
Speaker 5: Yeah. And also can we not like it's a year ago,

551
00:26:45,760 --> 00:26:47,040
Speaker 5: like we're here now.

552
00:26:47,280 --> 00:26:49,679
Speaker 2: That one is so comprehensively disappointed to me because one

553
00:26:49,720 --> 00:26:51,720
Speaker 2: of the little things it reveals is that there's even

554
00:26:51,760 --> 00:26:54,560
Speaker 2: among progressives in the left, this belief that, like someone

555
00:26:54,680 --> 00:26:58,600
Speaker 2: can't be injured by a gun and handle it reasonably

556
00:26:58,640 --> 00:27:02,520
Speaker 2: well and not be a good person. Right, right, he

557
00:27:02,640 --> 00:27:05,639
Speaker 2: has faked the fact that he didn't like and piss himself.

558
00:27:05,680 --> 00:27:07,959
Speaker 2: It has to be fake. It's like, no, he just

559
00:27:08,040 --> 00:27:11,840
Speaker 2: like didn't freak out or whatever. On a huge line

560
00:27:12,160 --> 00:27:14,360
Speaker 2: shows a huge adrinal. Have you ever been shot at?

561
00:27:14,520 --> 00:27:16,600
Speaker 2: It's like when you get when you realize you didn't

562
00:27:16,640 --> 00:27:17,760
Speaker 2: get hit, it feels awesome.

563
00:27:18,160 --> 00:27:21,040
Speaker 5: Yeah, you're living, You are surfing a cloud for a

564
00:27:21,040 --> 00:27:22,640
Speaker 5: while there, so you're not anymore.

565
00:27:22,880 --> 00:27:25,720
Speaker 4: I think the insights I got from this like left

566
00:27:25,720 --> 00:27:29,960
Speaker 4: wing conspiracism, like like seizure, right, this is like the

567
00:27:30,000 --> 00:27:32,720
Speaker 4: seizure of the left embracing desks. I got one of

568
00:27:32,760 --> 00:27:34,640
Speaker 4: the biggest points of clarity I was on, Like what's

569
00:27:34,640 --> 00:27:39,560
Speaker 4: happening right now? Is this like tactical flattening of especially

570
00:27:39,600 --> 00:27:41,320
Speaker 4: after the Charlie Kirk stuff as well, Like with the

571
00:27:41,400 --> 00:27:46,680
Speaker 4: right wing embracing this like cultural cancelation strategy of trying

572
00:27:46,720 --> 00:27:49,280
Speaker 4: to get people fired for saying things online, which they've

573
00:27:49,280 --> 00:27:51,480
Speaker 4: tried to do before but was done way more successfully

574
00:27:51,840 --> 00:27:54,440
Speaker 4: that month, and like directed by the administration, and then

575
00:27:54,560 --> 00:27:59,720
Speaker 4: the left embracing a style of conspiratorial thinking that previously

576
00:27:59,840 --> 00:28:03,200
Speaker 4: was was really only embraced as fully on the right.

577
00:28:03,440 --> 00:28:05,879
Speaker 4: So like this, this this flattening of tactics across the

578
00:28:05,920 --> 00:28:07,439
Speaker 4: left and the right, I think has been a useful

579
00:28:07,440 --> 00:28:08,800
Speaker 4: way to look at our current situation.

580
00:28:08,960 --> 00:28:12,400
Speaker 2: For me, Yeah, the ice guided missiles.

581
00:28:13,160 --> 00:28:17,560
Speaker 5: Yeah, man, that fully fucking sent me like, as someone

582
00:28:17,560 --> 00:28:19,880
Speaker 5: who's been a journalist for a while, just seeing these

583
00:28:19,880 --> 00:28:22,400
Speaker 5: outlets that you were previously kind of like the first

584
00:28:22,440 --> 00:28:25,080
Speaker 5: time I had a byline in mother Jones. I was pumped. Yeah,

585
00:28:25,080 --> 00:28:27,199
Speaker 5: and then here they are just being like love to

586
00:28:27,240 --> 00:28:30,680
Speaker 5: know more about these missiles we have that? Man, do

587
00:28:30,760 --> 00:28:33,040
Speaker 5: you look at it? I literally did that while I

588
00:28:33,160 --> 00:28:35,199
Speaker 5: was like waiting for coffee or having a shit or

589
00:28:35,200 --> 00:28:37,960
Speaker 5: something like. It took me that much time on my

590
00:28:38,040 --> 00:28:39,760
Speaker 5: telephone to find that contract.

591
00:28:40,000 --> 00:28:41,920
Speaker 2: Like what is wrong with people?

592
00:28:42,320 --> 00:28:42,600
Speaker 5: Again?

593
00:28:42,680 --> 00:28:46,720
Speaker 2: It's all just fucking shibboleths and virtue signaling boat like that.

594
00:28:47,240 --> 00:28:49,360
Speaker 2: Why would that be worse if I said guided missiles?

595
00:28:49,360 --> 00:28:50,920
Speaker 2: Do you know how guided missiles work? Do you know

596
00:28:50,960 --> 00:28:52,920
Speaker 2: the kind of tail that's required to make them function?

597
00:28:53,000 --> 00:28:56,360
Speaker 2: Do you know the kind of like mechanical like experts

598
00:28:56,400 --> 00:28:57,680
Speaker 2: that you have to have in order to like keep

599
00:28:57,680 --> 00:29:00,320
Speaker 2: these things working and keep them usable? Why would ice

600
00:29:00,480 --> 00:29:03,120
Speaker 2: be more dangerous with these? It's just going to distract

601
00:29:03,160 --> 00:29:05,160
Speaker 2: them from doing the thing they're already use it doing

602
00:29:05,160 --> 00:29:08,280
Speaker 2: to hurt people, Like guided missiles do not do any

603
00:29:08,360 --> 00:29:10,520
Speaker 2: It would be just like extra trash for them to

604
00:29:10,560 --> 00:29:11,280
Speaker 2: carry around.

605
00:29:11,560 --> 00:29:13,800
Speaker 5: Yeah, and they'd be as bad at using them as

606
00:29:13,840 --> 00:29:14,840
Speaker 5: there and everything else.

607
00:29:15,240 --> 00:29:17,800
Speaker 2: And to be quite frank, the government is already using

608
00:29:17,840 --> 00:29:21,320
Speaker 2: guided missions to do war crimes via the military.

609
00:29:21,840 --> 00:29:23,720
Speaker 3: Yep, yeah, yeah, people who.

610
00:29:23,640 --> 00:29:24,720
Speaker 2: Know how to use them.

611
00:29:26,400 --> 00:29:30,760
Speaker 1: The other thing that really just wow. Every single time

612
00:29:30,800 --> 00:29:32,880
Speaker 1: that there's a mass shooting event, which is often in

613
00:29:32,920 --> 00:29:35,280
Speaker 1: this country, the fact that they had to transvestigate the

614
00:29:35,320 --> 00:29:40,320
Speaker 1: person every single time, Oh yeah, holy unnecessary annoying. It

615
00:29:40,360 --> 00:29:47,840
Speaker 1: makes me very angry. Yeah, very angry. Fuck med and just.

616
00:29:48,280 --> 00:29:48,840
Speaker 2: I don't know.

617
00:29:49,200 --> 00:29:52,560
Speaker 5: Recently, there was a wide piece about like in Range

618
00:29:52,640 --> 00:29:56,000
Speaker 5: TV Calcaside who's had on before and the matches, the

619
00:29:56,000 --> 00:29:57,480
Speaker 5: matches he hosts, and like.

620
00:29:57,440 --> 00:29:58,360
Speaker 2: The brutality matches.

621
00:29:58,440 --> 00:30:00,840
Speaker 5: Yet probably thirty percent of the piece was reflecting on

622
00:30:00,880 --> 00:30:03,840
Speaker 5: the killing of Charlie Kirk and like, nobody who goes

623
00:30:03,880 --> 00:30:06,920
Speaker 5: to calls matches has been accused of shooting Charlie kok.

624
00:30:06,720 --> 00:30:09,080
Speaker 2: No again, and the guy who shot Charlie Kirk didn't

625
00:30:09,080 --> 00:30:13,000
Speaker 2: shoot him because he trained doing matches. He shot deer. Yeah,

626
00:30:13,040 --> 00:30:15,200
Speaker 2: and then he shot a guy in a similar way

627
00:30:15,240 --> 00:30:17,640
Speaker 2: to how he'd shot deer. Nor is he a trans

628
00:30:17,680 --> 00:30:20,800
Speaker 2: person because you know, what's a better practice if you're

629
00:30:20,800 --> 00:30:23,600
Speaker 2: going to shoot someone at one hundred something yards distance

630
00:30:23,680 --> 00:30:26,960
Speaker 2: than a tactical shooting match shooting deer?

631
00:30:27,440 --> 00:30:31,160
Speaker 5: Like yeah, like the whole thing is just like I know, Yeah,

632
00:30:31,480 --> 00:30:34,760
Speaker 5: the discourse around mass shootings has become less helpful and

633
00:30:34,800 --> 00:30:35,400
Speaker 5: more toxic.

634
00:30:35,600 --> 00:30:35,680
Speaker 4: No.

635
00:30:36,040 --> 00:30:38,880
Speaker 2: Part of it's because I think there's a decent chunk

636
00:30:38,880 --> 00:30:41,160
Speaker 2: of like progressives and left for whom like it's immoral

637
00:30:41,280 --> 00:30:43,959
Speaker 2: to actually know anything about how guns work, or how

638
00:30:44,000 --> 00:30:47,640
Speaker 2: shooting works, or gun culture works, So you can't actually

639
00:30:47,880 --> 00:30:51,440
Speaker 2: like understand what you're talking about, which is another problem.

640
00:30:51,480 --> 00:30:53,800
Speaker 2: There's a lot of problems. It's not high on the

641
00:30:53,840 --> 00:30:55,520
Speaker 2: list of problems, but it annoys me.

642
00:30:56,360 --> 00:30:59,240
Speaker 5: Yeah, maybe it pitches me off irrationally more than it should.

643
00:30:59,560 --> 00:31:03,200
Speaker 5: Like to find that frustrating, Like we cannot have a

644
00:31:03,240 --> 00:31:05,320
Speaker 5: reasonable discourse around guns in this country.

645
00:31:06,000 --> 00:31:08,959
Speaker 2: No, No, that that ship sailed yeah with some bullet

646
00:31:08,960 --> 00:31:09,640
Speaker 2: holes in the hall.

647
00:31:10,720 --> 00:31:15,160
Speaker 1: One last serious one, m what's everyone's opinion on the

648
00:31:15,160 --> 00:31:19,080
Speaker 1: best implementation of dual power in the modern era? That's

649
00:31:19,080 --> 00:31:20,120
Speaker 1: a mea question.

650
00:31:21,280 --> 00:31:24,080
Speaker 3: I mean, how are you defining modern era? I guess

651
00:31:24,200 --> 00:31:25,600
Speaker 3: how are you defining dual power?

652
00:31:25,720 --> 00:31:26,360
Speaker 5: Yeah?

653
00:31:26,440 --> 00:31:29,080
Speaker 2: Yeah? And how long do you have.

654
00:31:29,480 --> 00:31:32,080
Speaker 3: The people who've objectively done the best job of it

655
00:31:32,080 --> 00:31:35,960
Speaker 3: as asapatistas. And they've done the best job of it

656
00:31:36,840 --> 00:31:40,160
Speaker 3: in large part because they've been willing to change the

657
00:31:40,200 --> 00:31:44,000
Speaker 3: structure of their systems over time as things have worked

658
00:31:44,040 --> 00:31:47,360
Speaker 3: and things have not worked, and as the systems that

659
00:31:47,360 --> 00:31:50,440
Speaker 3: they've been using have decentralized, I don't know the fact

660
00:31:50,480 --> 00:31:52,520
Speaker 3: that they were able to even even under a massive attack,

661
00:31:52,560 --> 00:31:54,280
Speaker 3: they were able to do a massive expansion a few

662
00:31:54,320 --> 00:31:57,719
Speaker 3: years ago. Yeah, they've held out against you know, the

663
00:31:57,760 --> 00:31:59,800
Speaker 3: wrath of the Mexican state, which is one of the

664
00:31:59,840 --> 00:32:01,120
Speaker 3: most violent in the world.

665
00:32:01,960 --> 00:32:02,160
Speaker 4: Yeah.

666
00:32:02,200 --> 00:32:05,080
Speaker 2: I mean I would, in a similar veins talk about

667
00:32:05,120 --> 00:32:08,640
Speaker 2: like the PKK and then the YEPGJ and Rojava, right

668
00:32:08,680 --> 00:32:12,080
Speaker 2: where you had these non state groups that had connections

669
00:32:12,080 --> 00:32:14,880
Speaker 2: and that had some experience doing what we might call

670
00:32:14,960 --> 00:32:18,160
Speaker 2: mutual aid prior to the government's collapse, and then kind

671
00:32:18,160 --> 00:32:21,040
Speaker 2: of expanded that into these networks that began to mimic

672
00:32:21,080 --> 00:32:25,400
Speaker 2: and replace state function in an area that about three

673
00:32:25,400 --> 00:32:27,960
Speaker 2: million people lived in. I think that's a really that's

674
00:32:27,960 --> 00:32:30,760
Speaker 2: certainly a more important story in terms of how that

675
00:32:30,840 --> 00:32:32,520
Speaker 2: kind of thing might work on a larger scale than

676
00:32:32,560 --> 00:32:34,160
Speaker 2: anything that's happened up to the present point in the

677
00:32:34,200 --> 00:32:35,320
Speaker 2: United States. Right.

678
00:32:35,760 --> 00:32:38,960
Speaker 4: Yeah, I guess in less of a militaristic way, but

679
00:32:39,040 --> 00:32:42,360
Speaker 4: more like a party capacity or like political proposal capacity.

680
00:32:43,160 --> 00:32:45,560
Speaker 4: Probably some of the stuff coming out of the New

681
00:32:45,640 --> 00:32:48,440
Speaker 4: York City Chapter of DSA the past year, which is

682
00:32:48,480 --> 00:32:52,960
Speaker 4: not reflective of DSA's an entire national organization, but specifically

683
00:32:53,000 --> 00:32:57,320
Speaker 4: the New York chapter has been very very prefigative in

684
00:32:57,760 --> 00:33:00,600
Speaker 4: actually doing like more like party oriented dual power.

685
00:33:00,960 --> 00:33:03,440
Speaker 2: Yeah, And I was I think probably we should also

686
00:33:03,480 --> 00:33:06,320
Speaker 2: talk some about like the different immigration defense hotlines and

687
00:33:06,360 --> 00:33:10,080
Speaker 2: immigration defense reaction forces around the country that have gone

688
00:33:11,120 --> 00:33:13,880
Speaker 2: really ramping up and doing a lot of really good

689
00:33:13,880 --> 00:33:17,600
Speaker 2: and really difficult work under duress and under you know, fire,

690
00:33:17,720 --> 00:33:18,280
Speaker 2: so to speak.

691
00:33:18,720 --> 00:33:22,280
Speaker 5: Yeah, Like people have built immediity safety, yeah, to keep

692
00:33:22,280 --> 00:33:24,320
Speaker 5: that community safe when the state has failed to keep

693
00:33:24,320 --> 00:33:26,880
Speaker 5: their community safe, right, and sometimes it's put their communities

694
00:33:26,920 --> 00:33:30,360
Speaker 5: in danger. And like, especially I think it is kind

695
00:33:30,360 --> 00:33:33,920
Speaker 5: of heartwarming to me to see people who who were

696
00:33:34,040 --> 00:33:38,080
Speaker 5: just like straight up statist liberals, right yeah, realizing that

697
00:33:38,280 --> 00:33:40,280
Speaker 5: actually the cops aren't going to come and arrest ice.

698
00:33:40,320 --> 00:33:43,440
Speaker 5: That's not going to fucking happen, and then being like, Okay, well,

699
00:33:43,480 --> 00:33:46,520
Speaker 5: how do we organize the strategy that will maintain safety

700
00:33:46,520 --> 00:33:49,120
Speaker 5: in our community given that this load bearing part of

701
00:33:49,200 --> 00:33:52,600
Speaker 5: reality for me that cops are good has seemingly collapsed.

702
00:33:53,000 --> 00:33:55,880
Speaker 2: And I'd say, in general, James, the fact that there's

703
00:33:55,920 --> 00:33:59,080
Speaker 2: a whole lot of normy people who would have you

704
00:33:59,400 --> 00:34:01,960
Speaker 2: certainly would have describe them as normies a year or

705
00:34:02,000 --> 00:34:04,960
Speaker 2: two ago, that are now like, yeah, we gotta get

706
00:34:05,000 --> 00:34:06,320
Speaker 2: rid of Ice. Maybe we got to get rid of

707
00:34:06,320 --> 00:34:09,640
Speaker 2: all these cops. Yeah, Bill Crystal, Yeah, Bill, Bill Crystal

708
00:34:09,680 --> 00:34:12,760
Speaker 2: be on the anti Ice train, right. Yeah, it's not bad.

709
00:34:13,080 --> 00:34:14,520
Speaker 2: I do get the first. I'm not saying like we

710
00:34:14,560 --> 00:34:17,359
Speaker 2: should invite Bill Crystal to the party or whatever. I'm

711
00:34:17,360 --> 00:34:19,799
Speaker 2: saying that, like the felt Crystal blooked me on Blue Sky,

712
00:34:19,840 --> 00:34:20,680
Speaker 2: so I can't invite him.

713
00:34:20,760 --> 00:34:23,719
Speaker 4: Said, Bill Crystal's coming to the Anarchist Book Fair and

714
00:34:23,719 --> 00:34:25,719
Speaker 4: it's going to be serving Vegan Slov.

715
00:34:25,800 --> 00:34:28,279
Speaker 2: Is that even a joke? Garrisoner, Is that real? That

716
00:34:28,360 --> 00:34:32,759
Speaker 2: could be real? Okay, But it's just in general good

717
00:34:32,840 --> 00:34:35,600
Speaker 2: that a lot of people who are like where my

718
00:34:35,680 --> 00:34:40,120
Speaker 2: parents were politically twenty years ago are looking out at

719
00:34:40,160 --> 00:34:41,560
Speaker 2: what's happening and being like, we got to get rid

720
00:34:41,560 --> 00:34:44,480
Speaker 2: of these fucking people. Yeah, that's that's good. That's positive.

721
00:34:44,600 --> 00:34:44,839
Speaker 5: Yeah.

722
00:34:45,080 --> 00:34:47,759
Speaker 2: I would say that that's kind of like a downstream

723
00:34:47,840 --> 00:34:50,040
Speaker 2: change from what I think will be the most long

724
00:34:50,120 --> 00:34:53,000
Speaker 2: term positive change from the twenty twenty uprisings, which is

725
00:34:53,040 --> 00:34:55,680
Speaker 2: a huge number of people who hadn't thought about the

726
00:34:55,680 --> 00:34:57,640
Speaker 2: cops realized what the cops are.

727
00:34:57,840 --> 00:35:00,560
Speaker 1: Yeah, And to wrap it up, Robert, we got like

728
00:35:00,719 --> 00:35:03,719
Speaker 1: multiple requests for you to do various accents.

729
00:35:03,920 --> 00:35:07,400
Speaker 2: Are you fucking shitting me? Various what accents?

730
00:35:07,400 --> 00:35:10,440
Speaker 1: Since so many requests for you to do various access?

731
00:35:10,840 --> 00:35:15,160
Speaker 4: Well, okay, some Australian ones and Boston ones, Boston a

732
00:35:15,239 --> 00:35:18,000
Speaker 4: few other but like the specific areas of Boston. I

733
00:35:18,040 --> 00:35:21,279
Speaker 4: think they were asking about like like different like inter

734
00:35:21,840 --> 00:35:26,799
Speaker 4: Boston regional accent. I'm sure you can just do those

735
00:35:27,400 --> 00:35:31,400
Speaker 4: like one one one oh even all.

736
00:35:31,320 --> 00:35:33,840
Speaker 3: Right, yes, enough of that to see is that for listening?

737
00:35:33,920 --> 00:35:36,560
Speaker 3: Are our Q and A episodes?

738
00:35:36,600 --> 00:35:36,880
Speaker 5: Okay?

739
00:35:38,000 --> 00:35:40,600
Speaker 3: It could half of the year nailed perfectly?

740
00:35:40,760 --> 00:35:42,640
Speaker 2: No notes. I'd say we reported the news, but this

741
00:35:42,760 --> 00:35:45,040
Speaker 2: was definitively not the news. Yeah, we didn't do that.

742
00:35:45,320 --> 00:35:48,440
Speaker 1: Yeah, goodbye.

743
00:35:57,920 --> 00:36:00,640
Speaker 4: So I have pulled up Plymarket and Cale she We're

744
00:36:00,640 --> 00:36:03,480
Speaker 4: gonna go through each of the trending predictions right now

745
00:36:04,000 --> 00:36:07,440
Speaker 4: and then decide where we're gonna be putting our last

746
00:36:07,480 --> 00:36:10,480
Speaker 4: year's profit from cool zone coin. We're gonna be transferring

747
00:36:10,480 --> 00:36:14,120
Speaker 4: that on the blockchain to polymarket, and I think we

748
00:36:14,160 --> 00:36:17,160
Speaker 4: can come out of this year with a big profit.

749
00:36:17,400 --> 00:36:19,839
Speaker 2: This is how we're relying on funding our operations.

750
00:36:20,200 --> 00:36:22,839
Speaker 5: Jesus, that's going forward. Can you check party market real quick?

751
00:36:22,840 --> 00:36:26,200
Speaker 5: Say if Morris he's still alive, Jesus, it's been three

752
00:36:26,280 --> 00:36:27,120
Speaker 5: years in a row.

753
00:36:27,960 --> 00:36:31,280
Speaker 4: So this is our twenty twenty six predictions episode. Like usual,

754
00:36:31,680 --> 00:36:33,480
Speaker 4: I think we should start by reflecting us move our

755
00:36:33,480 --> 00:36:37,200
Speaker 4: predictions from last year to see how right and wrong

756
00:36:37,239 --> 00:36:41,360
Speaker 4: we were. The big one, big prediction that we discussed

757
00:36:41,400 --> 00:36:44,680
Speaker 4: the most as a team is when is Elon Musk

758
00:36:44,719 --> 00:36:47,520
Speaker 4: gonna distance himself from Trump? Or when are they gonna

759
00:36:47,760 --> 00:36:50,200
Speaker 4: break up? What do they have their you know, separation?

760
00:36:50,880 --> 00:36:55,160
Speaker 4: And each and every one of the extended Cool Zone

761
00:36:55,200 --> 00:36:57,520
Speaker 4: media team members who works on it could Happen here

762
00:36:58,239 --> 00:37:03,759
Speaker 4: put in a date and the most accurate guess was

763
00:37:03,800 --> 00:37:08,640
Speaker 4: from it could Happen Here's main editor Adam, who said

764
00:37:08,960 --> 00:37:13,560
Speaker 4: May thirtieth, which was really spot on. So congrats to Adam, Adam,

765
00:37:14,400 --> 00:37:16,640
Speaker 4: to all of us stumble through our episodes and have

766
00:37:16,719 --> 00:37:17,359
Speaker 4: to edit them.

767
00:37:17,280 --> 00:37:18,839
Speaker 2: All cutting all the burps out.

768
00:37:18,920 --> 00:37:22,920
Speaker 4: Yeah actually actually, uh, you know, maybe to really give

769
00:37:22,960 --> 00:37:25,880
Speaker 4: credit back to us, maybe influenced your your wisdom.

770
00:37:26,040 --> 00:37:30,560
Speaker 2: God, let me reflect him his Gloria myself. Yes, we

771
00:37:30,680 --> 00:37:33,839
Speaker 2: really made him wiser, and thus we're all wrong ourselves

772
00:37:33,960 --> 00:37:36,520
Speaker 2: and most psychological da.

773
00:37:36,760 --> 00:37:37,719
Speaker 3: It's a good you know.

774
00:37:37,760 --> 00:37:40,400
Speaker 4: It means that we're smarter as a group entity, as

775
00:37:40,440 --> 00:37:43,839
Speaker 4: a hive mind, we're all smarter than our own individual intelligence,

776
00:37:44,000 --> 00:37:45,960
Speaker 4: which Adam has the most access to.

777
00:37:46,120 --> 00:37:47,760
Speaker 2: Yes, just like ants.

778
00:37:48,120 --> 00:37:53,600
Speaker 4: Yeah, but yeah, no, Adam. Adam did pretty good on

779
00:37:53,640 --> 00:37:58,400
Speaker 4: that May thirtieth guess, so there you go. Sophie also

780
00:37:58,640 --> 00:38:03,320
Speaker 4: close at May six, and then Molly congered June tenth,

781
00:38:03,400 --> 00:38:06,080
Speaker 4: also kind of in that zone, but Adam definitely hit

782
00:38:06,120 --> 00:38:10,200
Speaker 4: it spot on. We had a few other predictions. Some

783
00:38:10,280 --> 00:38:11,759
Speaker 4: of them were predictions. Some of them, I guess we're

784
00:38:11,800 --> 00:38:13,600
Speaker 4: kind of more hopes and dreams, which sadly did not

785
00:38:13,680 --> 00:38:18,040
Speaker 4: come to pass. The me on mar Junta was predicted

786
00:38:18,200 --> 00:38:21,880
Speaker 4: by me and James to Junta was predicted by me

787
00:38:21,920 --> 00:38:24,200
Speaker 4: and James to making out twenty twenty five. They've kind

788
00:38:24,200 --> 00:38:25,520
Speaker 4: of stuck on to power.

789
00:38:25,680 --> 00:38:28,480
Speaker 5: Yeah, yeah, if they've rallied pretty substantially Italy.

790
00:38:28,640 --> 00:38:32,640
Speaker 4: It's unfortunate Yaho's still as prime Minister. I did predict

791
00:38:32,640 --> 00:38:34,520
Speaker 4: that a sod would become a Russia today host. I

792
00:38:34,560 --> 00:38:36,800
Speaker 4: think it's a good prediction. But did not happen.

793
00:38:36,920 --> 00:38:37,960
Speaker 2: That could still happen.

794
00:38:38,040 --> 00:38:39,560
Speaker 3: It still happen in the future.

795
00:38:40,560 --> 00:38:43,600
Speaker 5: I'm waiting for them to hire him for a fucking podcast.

796
00:38:43,880 --> 00:38:46,360
Speaker 2: I don't think I predicted this, but I'm not surprised.

797
00:38:46,400 --> 00:38:47,920
Speaker 2: He's just playing video games.

798
00:38:48,000 --> 00:38:50,480
Speaker 3: No, he's just pulled up in a hotel playing video games.

799
00:38:50,520 --> 00:38:50,719
Speaker 4: Now.

800
00:38:51,160 --> 00:38:51,799
Speaker 2: Yeah.

801
00:38:51,920 --> 00:38:54,680
Speaker 4: During our death segment, I laid out a new theory

802
00:38:54,880 --> 00:38:58,600
Speaker 4: of death based on Spotify Rapped, which the previous two

803
00:38:58,640 --> 00:39:02,080
Speaker 4: years had some important deaths associate with Spotify rap Day.

804
00:39:02,440 --> 00:39:04,960
Speaker 3: No big Spotify Rapped deaths this year.

805
00:39:05,040 --> 00:39:10,600
Speaker 4: Unfortunately, though, I did make a death prediction last episode

806
00:39:10,640 --> 00:39:14,160
Speaker 4: which did not fully become true, but slightly became true

807
00:39:14,880 --> 00:39:17,040
Speaker 4: right after we record that episode last year, before the

808
00:39:17,080 --> 00:39:20,480
Speaker 4: episode even aired, I predicted that someone would try to

809
00:39:20,520 --> 00:39:23,920
Speaker 4: assassinate Nick Fuent as well. Nick was live streaming, perhaps

810
00:39:23,960 --> 00:39:25,000
Speaker 4: a deranged fanboy.

811
00:39:25,800 --> 00:39:26,640
Speaker 3: Days later.

812
00:39:27,760 --> 00:39:31,719
Speaker 4: Just days later, someone showed up outside of Nick's house

813
00:39:31,800 --> 00:39:35,239
Speaker 4: as he was live streaming with a weapon, allegedly trying

814
00:39:35,239 --> 00:39:38,040
Speaker 4: to kill him. This person died later that night, and

815
00:39:38,120 --> 00:39:41,279
Speaker 4: in like exchange with police, it became this whole thing.

816
00:39:41,320 --> 00:39:43,960
Speaker 4: But that happened just a few days after I made

817
00:39:43,960 --> 00:39:46,319
Speaker 4: that prediction, so technically didn't even happen in twenty twenty five,

818
00:39:46,320 --> 00:39:48,440
Speaker 4: happened still in twenty twenty four before we aired that

819
00:39:48,520 --> 00:39:51,520
Speaker 4: last episode, but it was close, was close to some

820
00:39:51,600 --> 00:39:55,160
Speaker 4: kind of zeitgeist on that. It's unclear that guy was

821
00:39:55,160 --> 00:39:58,719
Speaker 4: a fanboy. We really don't know much about him. What's

822
00:39:58,760 --> 00:40:01,759
Speaker 4: a few othertions that have like kind of kind of

823
00:40:01,840 --> 00:40:05,000
Speaker 4: come true, But like it's more in terms of like

824
00:40:05,040 --> 00:40:06,680
Speaker 4: which degree I guess.

825
00:40:06,560 --> 00:40:09,680
Speaker 2: I think my weird terrorism prediction has been pretty Yeah,

826
00:40:09,760 --> 00:40:12,799
Speaker 2: are o the money, Yeah, that's that's continued to be

827
00:40:12,840 --> 00:40:14,400
Speaker 2: a driver of the discourse.

828
00:40:14,920 --> 00:40:16,359
Speaker 3: We'll return to that in a sec.

829
00:40:16,920 --> 00:40:19,359
Speaker 4: Sophie talked about, you know, Trump moving some like White

830
00:40:19,360 --> 00:40:22,480
Speaker 4: House operations to mar A Lago, which has partially happened.

831
00:40:22,480 --> 00:40:24,840
Speaker 4: There's been a lot of like a like a holiday

832
00:40:24,880 --> 00:40:26,440
Speaker 4: events done at mar A Lago.

833
00:40:26,560 --> 00:40:27,640
Speaker 3: Sometimes he's working out of.

834
00:40:27,640 --> 00:40:30,520
Speaker 1: There, very odd things.

835
00:40:30,680 --> 00:40:33,520
Speaker 4: Yeah, But on the other hand, he's also just mar

836
00:40:33,520 --> 00:40:36,880
Speaker 4: A Lago of fying the White House itself, which with

837
00:40:36,960 --> 00:40:40,399
Speaker 4: like the ballroom, So it's kind of going in both directions.

838
00:40:41,360 --> 00:40:45,400
Speaker 4: Mia did did put a very firm prediction on like

839
00:40:45,520 --> 00:40:48,640
Speaker 4: an economic collapse in twenty twenty five, like in the

840
00:40:48,719 --> 00:40:51,400
Speaker 4: United States again, it's it's it's it's like a slow

841
00:40:51,760 --> 00:40:53,440
Speaker 4: in terms of like one of the key ideas for

842
00:40:53,520 --> 00:40:57,600
Speaker 4: our show is like crumbles versus collapse. It certainly continued

843
00:40:57,640 --> 00:41:00,440
Speaker 4: to crumble and I but I think the actual collapse

844
00:41:00,440 --> 00:41:01,600
Speaker 4: point is still upcoming.

845
00:41:01,880 --> 00:41:04,640
Speaker 3: Yeah, well, we'll get into this more later. I will

846
00:41:04,680 --> 00:41:08,600
Speaker 3: say it is kind of baffling to have my prediction

847
00:41:08,840 --> 00:41:14,520
Speaker 3: completely derailed, literally just solely by AI data center spending, Yes,

848
00:41:14,719 --> 00:41:18,960
Speaker 3: which I did not predict that any entire American growth

849
00:41:19,040 --> 00:41:24,120
Speaker 3: rate would be and I did set a growth Yeah

850
00:41:24,239 --> 00:41:24,960
Speaker 3: I didn't get that.

851
00:41:25,280 --> 00:41:27,680
Speaker 4: No, the actual like like job market and economy has

852
00:41:27,680 --> 00:41:31,880
Speaker 4: become so separate from like corporate spending and stock market stuff,

853
00:41:31,920 --> 00:41:34,200
Speaker 4: and like Robert did, actually I think hit this a

854
00:41:34,239 --> 00:41:37,120
Speaker 4: little bit on the head. He talked about how the

855
00:41:37,160 --> 00:41:40,560
Speaker 4: economy will basically remain identical to Biden's economy in terms

856
00:41:40,560 --> 00:41:43,560
Speaker 4: of inflation, but the stock market will continue to go

857
00:41:43,719 --> 00:41:46,120
Speaker 4: up and housing will keep getting more expensive, and the

858
00:41:46,200 --> 00:41:48,720
Speaker 4: left will start to be able to hit conservatives on inflation.

859
00:41:49,160 --> 00:41:52,080
Speaker 4: And yeah, I think that is pretty much what happened.

860
00:41:52,080 --> 00:41:54,080
Speaker 4: The economy is in a relatively similar place as it

861
00:41:54,160 --> 00:41:57,680
Speaker 4: was last year, but you know, inflation is still ticking.

862
00:41:57,920 --> 00:42:00,000
Speaker 4: There's some like artificial attempts to like bring it down

863
00:42:00,880 --> 00:42:05,040
Speaker 4: by Trump, but it's not really working in terms of prices.

864
00:42:06,280 --> 00:42:09,000
Speaker 2: No, the only thing cropping it up in a numbers

865
00:42:09,120 --> 00:42:12,480
Speaker 2: term is fucking Nvidia. Well in Vidia less so now,

866
00:42:12,480 --> 00:42:15,880
Speaker 2: but just a rational exuberance over AI in general. Yeah,

867
00:42:15,920 --> 00:42:18,520
Speaker 2: but people are complaining about all the same things they

868
00:42:18,520 --> 00:42:20,120
Speaker 2: were under Biden, just more so.

869
00:42:20,920 --> 00:42:21,320
Speaker 3: Yeah.

870
00:42:21,520 --> 00:42:24,080
Speaker 4: Yeah, I guess I have three other points here. I

871
00:42:24,120 --> 00:42:27,520
Speaker 4: talked about a blue governor deployed national Guard troops against

872
00:42:27,760 --> 00:42:32,279
Speaker 4: Trump federal troops. Instead, you got Trump deployed national Guard

873
00:42:32,280 --> 00:42:36,400
Speaker 4: troops against individual cities with like police kind of caught

874
00:42:36,440 --> 00:42:40,240
Speaker 4: in between. We still have yet to see the the

875
00:42:40,400 --> 00:42:43,120
Speaker 4: cool and based moment where like a blue governor deploys

876
00:42:43,239 --> 00:42:45,520
Speaker 4: national Guard against against dhl.

877
00:42:45,200 --> 00:42:47,479
Speaker 2: Ivn't use deployed his Twitter account today.

878
00:42:47,640 --> 00:42:50,840
Speaker 4: Yeah No, Still, Sophie talked about there'd be still no

879
00:42:51,040 --> 00:42:53,680
Speaker 4: clear left wing Joe Rogan.

880
00:42:53,600 --> 00:42:57,520
Speaker 3: But so many have tried, a lot of people try.

881
00:42:57,560 --> 00:42:58,839
Speaker 2: I still feel like I could be it.

882
00:42:59,480 --> 00:43:01,960
Speaker 4: You're gonna have to be a lot more on camera,

883
00:43:02,160 --> 00:43:04,439
Speaker 4: I think, Yeah, well they'll have to have a lot

884
00:43:04,480 --> 00:43:07,080
Speaker 4: a lot more on camera stuff for that more camera.

885
00:43:07,040 --> 00:43:10,840
Speaker 5: Less hair larger gut can explained.

886
00:43:10,520 --> 00:43:12,920
Speaker 2: Steroids, different drugs.

887
00:43:13,120 --> 00:43:16,400
Speaker 4: Yeah, I mean, Adam Freeland is certainly positioning in that direction.

888
00:43:16,640 --> 00:43:20,080
Speaker 1: Yeah, I agree here. I agree here. Also, I predicted

889
00:43:20,120 --> 00:43:22,520
Speaker 1: that something would happen to the Paul brothers, and unfortunately

890
00:43:22,600 --> 00:43:24,719
Speaker 1: the only thing that happened is that their HBO show

891
00:43:24,760 --> 00:43:25,680
Speaker 1: did not get renewed.

892
00:43:25,840 --> 00:43:29,040
Speaker 2: When was that boxed bag? That was year prior and

893
00:43:29,080 --> 00:43:29,799
Speaker 2: it wasn't good.

894
00:43:30,040 --> 00:43:33,279
Speaker 1: No, they had a TV show called Paul American.

895
00:43:34,320 --> 00:43:36,600
Speaker 3: Yeah, are you serious? I didn't even hear about this.

896
00:43:36,719 --> 00:43:39,960
Speaker 1: It was on HBO, but it got canceled.

897
00:43:40,680 --> 00:43:42,520
Speaker 3: I guess I've just had other stuff going on.

898
00:43:42,960 --> 00:43:45,279
Speaker 5: Yeah, I'm kind of glad that I've lived a life

899
00:43:45,280 --> 00:43:48,319
Speaker 5: where I didn't know that. I have no shame about that.

900
00:43:49,520 --> 00:43:51,719
Speaker 4: Finally, both myself and like a few of us kind

901
00:43:51,719 --> 00:43:53,279
Speaker 4: of talked about this, is that there would be this

902
00:43:53,400 --> 00:43:58,440
Speaker 4: movement away from big mobilizations. Some big mobizations happened in

903
00:43:58,520 --> 00:44:01,480
Speaker 4: short periods of time, like especially a good point like LA.

904
00:44:01,600 --> 00:44:04,120
Speaker 4: I think it's probably the most significant. But in terms

905
00:44:04,120 --> 00:44:08,200
Speaker 4: of like like actual like countrywide massimabilizations. Right, there's a

906
00:44:08,280 --> 00:44:12,280
Speaker 4: movement away from this and moving towards lone wolf attacks,

907
00:44:13,120 --> 00:44:16,560
Speaker 4: which did happen, and specifically I predicted there would be

908
00:44:16,600 --> 00:44:20,200
Speaker 4: like a very a very sloppy Luigi copycat in the

909
00:44:20,239 --> 00:44:25,399
Speaker 4: next four months, and oh boy, did this? Did this

910
00:44:25,480 --> 00:44:29,160
Speaker 4: happen multiple in reoccurring times. And this kind of played

911
00:44:29,160 --> 00:44:32,000
Speaker 4: into this larger model I was creating, which kind of

912
00:44:32,040 --> 00:44:36,360
Speaker 4: starts around the assassination of shinzo Abe, creating this escalating

913
00:44:36,480 --> 00:44:39,640
Speaker 4: series of assassinations happening faster and faster, because like after

914
00:44:39,760 --> 00:44:43,320
Speaker 4: shinzo Abe, there was, you know, two years later, Thomas

915
00:44:43,360 --> 00:44:45,920
Speaker 4: Crooks trying to assassinate Donald Trump and butt the Pennsylvania

916
00:44:46,040 --> 00:44:49,759
Speaker 4: Six months later, the United Healthcare CEO. Three months after that,

917
00:44:50,120 --> 00:44:52,200
Speaker 4: someone tried to burn down the home of Pennsylvania Governor

918
00:44:52,280 --> 00:44:54,719
Speaker 4: Josh Shapiro in the middle of the night. One and

919
00:44:54,719 --> 00:44:57,200
Speaker 4: a half months after that, there was the assassination of

920
00:44:57,239 --> 00:45:00,480
Speaker 4: two Israeli embassy staffers in Washington, d C. Two weeks

921
00:45:00,520 --> 00:45:03,360
Speaker 4: after that, a Christian missionary named Vance Belter killed in

922
00:45:03,400 --> 00:45:06,319
Speaker 4: Minnesota House Speaker Melissa Hortman and her husband and shot

923
00:45:06,360 --> 00:45:09,680
Speaker 4: Senator John Hoffman. Next month was the Prairie Land assault

924
00:45:09,680 --> 00:45:11,680
Speaker 4: on an ice facility in July, the exact details of

925
00:45:11,680 --> 00:45:13,560
Speaker 4: which are still getting figured out.

926
00:45:13,680 --> 00:45:14,200
Speaker 3: In court.

927
00:45:15,040 --> 00:45:18,080
Speaker 4: But after this things kind of tapered down for a

928
00:45:18,120 --> 00:45:22,279
Speaker 4: bit until September with the Charlie Kirk assassination and the

929
00:45:22,320 --> 00:45:25,799
Speaker 4: attack on the ICE facility in Texas which kills two

930
00:45:25,880 --> 00:45:30,880
Speaker 4: immigrant detainees. So yeah, in terms of like you know,

931
00:45:31,000 --> 00:45:36,239
Speaker 4: lone wolf style, pre planned assassination style attacks, sloppy copycats,

932
00:45:36,360 --> 00:45:40,720
Speaker 4: right people writing messages on bullet casings, emulating the United

933
00:45:40,719 --> 00:45:46,280
Speaker 4: Healthcare CEO assassination, this was like a super super dominant

934
00:45:46,280 --> 00:45:47,480
Speaker 4: part of twenty twenty five.

935
00:45:47,840 --> 00:45:50,200
Speaker 2: It's the same pattern. I talked about this at the

936
00:45:50,280 --> 00:45:54,799
Speaker 2: end of my episode on Manngione after like that came

937
00:45:54,840 --> 00:45:58,040
Speaker 2: out right that like there's copycats after every shooting. This

938
00:45:58,160 --> 00:46:00,200
Speaker 2: is basically following the same kind of thing we on

939
00:46:00,239 --> 00:46:04,600
Speaker 2: twenty nineteen with the eight Chan shootings right where you like,

940
00:46:04,640 --> 00:46:07,200
Speaker 2: this has been going on for much longer than that,

941
00:46:07,239 --> 00:46:09,960
Speaker 2: but it's a very predictable once you start to expect it.

942
00:46:09,960 --> 00:46:13,440
Speaker 2: It's a very predictable thing, which is someone carries out

943
00:46:13,440 --> 00:46:16,520
Speaker 2: a shooting that actually manages to break through our levels

944
00:46:16,520 --> 00:46:21,160
Speaker 2: of apathy about violence in this society and keeps everyone's attention,

945
00:46:21,440 --> 00:46:24,439
Speaker 2: and then throughout the year a bunch of different people

946
00:46:24,440 --> 00:46:27,239
Speaker 2: try iterations based on that because it's the only way

947
00:46:27,239 --> 00:46:29,640
Speaker 2: to get attention, and that's what all these people are craving, right,

948
00:46:29,640 --> 00:46:31,960
Speaker 2: that's the only real currency that still has value.

949
00:46:32,840 --> 00:46:35,359
Speaker 3: I will say I think it says something positive about

950
00:46:35,360 --> 00:46:37,760
Speaker 3: the turnoway for mass mobilizations that the lone wolf stuff

951
00:46:37,800 --> 00:46:39,960
Speaker 3: wasn't the only stuff that happened. There was also the

952
00:46:40,040 --> 00:46:42,560
Speaker 3: turn towards the thing we talked about in our Q

953
00:46:42,640 --> 00:46:45,360
Speaker 3: and A episode about the ICE rapid response stuff, which is,

954
00:46:45,760 --> 00:46:48,239
Speaker 3: you know, there were a few big mobilizations, but then

955
00:46:48,280 --> 00:46:50,759
Speaker 3: ICE was forced to change their tactics by the fact

956
00:46:50,760 --> 00:46:53,239
Speaker 3: that giant mobilizations by ICE were going badly for them,

957
00:46:53,680 --> 00:46:55,120
Speaker 3: and this did create a whole bunch of sort of

958
00:46:55,160 --> 00:46:59,800
Speaker 3: decentralized rapid response networks and a whole bunch of action

959
00:47:00,200 --> 00:47:02,919
Speaker 3: that were sort of based on this very very decentralized

960
00:47:03,080 --> 00:47:05,399
Speaker 3: very we show up and we do this thing at

961
00:47:05,400 --> 00:47:09,080
Speaker 3: this place. What's happening. It has stopped some of the

962
00:47:09,120 --> 00:47:11,000
Speaker 3: things that is happening. It has not stopped all of

963
00:47:11,000 --> 00:47:13,560
Speaker 3: the horrors that have been happening. But I think it

964
00:47:13,640 --> 00:47:15,600
Speaker 3: is a positive trend in terms of the way that

965
00:47:15,640 --> 00:47:17,560
Speaker 3: ICE has been forced to adjust their tactics to do

966
00:47:17,640 --> 00:47:20,480
Speaker 3: things that are harder and get less people at a time,

967
00:47:20,960 --> 00:47:22,959
Speaker 3: So I think that's worth as a positive thing worth

968
00:47:22,960 --> 00:47:26,080
Speaker 3: sharing of. How yeah, yeah, that the tactical innovations that

969
00:47:26,200 --> 00:47:28,840
Speaker 3: activists have been deploying have been forcing ICE to do

970
00:47:28,960 --> 00:47:30,160
Speaker 3: less devastating raides.

971
00:47:30,960 --> 00:47:35,000
Speaker 5: We saw various attempts at mass mobilization, most successful with

972
00:47:35,040 --> 00:47:39,120
Speaker 5: the No King's Marches, which were vast, but we also

973
00:47:39,120 --> 00:47:41,279
Speaker 5: saw those fifty to fifty one things which kind of

974
00:47:42,360 --> 00:47:44,920
Speaker 5: we're not as successful in turning out a lot of

975
00:47:44,960 --> 00:47:47,799
Speaker 5: numbers of people. But like me, it said, like in Ventura, right,

976
00:47:48,000 --> 00:47:49,880
Speaker 5: Like we saw huge numbers of people show up when

977
00:47:49,960 --> 00:47:52,799
Speaker 5: ICE tried to raid a couple of agricultural facilities up there,

978
00:47:53,440 --> 00:47:55,120
Speaker 5: And yeah, well like I was up in La We've

979
00:47:55,120 --> 00:47:58,040
Speaker 5: spoken about that extensively. But like Garrison said, that was

980
00:47:58,040 --> 00:48:02,239
Speaker 5: probably the biggest mobilization against ICE at one time in

981
00:48:02,320 --> 00:48:03,319
Speaker 5: one place that we saw.

982
00:48:03,840 --> 00:48:05,680
Speaker 4: It's a probably do ad break and then move into

983
00:48:05,920 --> 00:48:09,719
Speaker 4: predictions for this upcoming year twenty twenty six.

984
00:48:10,120 --> 00:48:10,400
Speaker 2: Yep.

985
00:48:21,360 --> 00:48:24,480
Speaker 4: The stock market is still trying to keep going, although

986
00:48:24,760 --> 00:48:28,560
Speaker 4: in some parts is like if not going down, flatlining

987
00:48:29,160 --> 00:48:33,319
Speaker 4: like a bitcoined did not increase this past year. There's

988
00:48:33,360 --> 00:48:36,640
Speaker 4: been a few popular like rising stocks like Netflix, which

989
00:48:37,080 --> 00:48:40,560
Speaker 4: are pretty much at the same spot they were at

990
00:48:40,560 --> 00:48:42,959
Speaker 4: the start of twenty twenty five, still going up and down.

991
00:48:43,239 --> 00:48:45,480
Speaker 2: Yeah, Games Workshop is up forty eight percent.

992
00:48:45,640 --> 00:48:51,600
Speaker 3: Baby war Hammer, the assassin orm kingmaker, it's great.

993
00:48:51,440 --> 00:48:54,920
Speaker 2: Sixty seventh most valuable company in the entire UK, larger

994
00:48:54,920 --> 00:49:00,359
Speaker 2: than their a whole fishing industry. Baby really, Yeah, that's

995
00:49:00,400 --> 00:49:03,640
Speaker 2: what I Warhammer is load bearing to the British economy.

996
00:49:04,760 --> 00:49:06,720
Speaker 2: The only thing nodding and really has left.

997
00:49:07,600 --> 00:49:09,440
Speaker 5: Yeah. So they got rid of the sheriff. It already

998
00:49:09,440 --> 00:49:13,479
Speaker 5: went downhill for them. Hey, that in robinhood tourism is Yeah,

999
00:49:13,840 --> 00:49:15,200
Speaker 5: anything you can do in noting him.

1000
00:49:15,200 --> 00:49:18,520
Speaker 3: Now, Okay, I have I have a big one about this,

1001
00:49:18,600 --> 00:49:20,640
Speaker 3: and it's not that the tech bubble is going to collapse.

1002
00:49:20,640 --> 00:49:22,080
Speaker 3: I do think the tech bubble is going to pop

1003
00:49:22,080 --> 00:49:22,640
Speaker 3: this year.

1004
00:49:22,640 --> 00:49:24,800
Speaker 2: At about this year, but within the next twelve months.

1005
00:49:24,800 --> 00:49:26,960
Speaker 2: I think you're saying, because we've got like three.

1006
00:49:26,760 --> 00:49:29,400
Speaker 4: Weeks left in this year, well, you know, in twenty

1007
00:49:29,400 --> 00:49:31,759
Speaker 4: twenty six. Yeah, these are these are predictions in twenty

1008
00:49:31,760 --> 00:49:32,160
Speaker 4: twenty six.

1009
00:49:32,239 --> 00:49:34,359
Speaker 3: Yeah, in twenty twenty six, the tech bubble is going

1010
00:49:34,400 --> 00:49:38,279
Speaker 3: to pop. Yeah, that's not the prediction. The prediction is that,

1011
00:49:38,480 --> 00:49:41,440
Speaker 3: in an attempt to recoup the value from all of

1012
00:49:41,480 --> 00:49:44,280
Speaker 3: the completely useless data centers that they will have built

1013
00:49:44,440 --> 00:49:47,640
Speaker 3: that can only run LMS and can do nothing else,

1014
00:49:48,560 --> 00:49:52,120
Speaker 3: someone is going to invent a cryptocurrency that can only

1015
00:49:52,200 --> 00:49:54,920
Speaker 3: be mined by large language models. And this is going

1016
00:49:54,960 --> 00:49:59,279
Speaker 3: to be one of the big attempts to recoup the hideous,

1017
00:49:59,640 --> 00:50:01,560
Speaker 3: hideou some mouse of capital they've been dumped into all

1018
00:50:01,560 --> 00:50:04,000
Speaker 3: these data centers. Is that they're going to have someone's

1019
00:50:04,040 --> 00:50:05,719
Speaker 3: going to find a way to make a kind of

1020
00:50:05,760 --> 00:50:08,800
Speaker 3: token that can only be generated by large language models.

1021
00:50:09,280 --> 00:50:11,640
Speaker 3: And they're gonna they're gonna try it. Is it gonna work?

1022
00:50:11,920 --> 00:50:14,880
Speaker 3: I don't think so, But they are going to try it.

1023
00:50:14,880 --> 00:50:16,840
Speaker 3: It's going to be a big thing. They're gonna push it.

1024
00:50:16,840 --> 00:50:17,600
Speaker 3: It's gonna suck.

1025
00:50:18,160 --> 00:50:20,920
Speaker 2: There's gonna be a bunch of desperate attempts to like

1026
00:50:21,880 --> 00:50:25,120
Speaker 2: once the money starts falling out and like. Which is

1027
00:50:25,120 --> 00:50:26,839
Speaker 2: not to say that I think that AI is going

1028
00:50:26,880 --> 00:50:28,960
Speaker 2: to even the AI that annoys me is going to

1029
00:50:29,000 --> 00:50:32,560
Speaker 2: go away, But a lot of the irrational exuberance is

1030
00:50:32,560 --> 00:50:34,680
Speaker 2: going to end, and a lot of the startups that

1031
00:50:34,719 --> 00:50:36,840
Speaker 2: are are just burning money are going to fail or

1032
00:50:36,840 --> 00:50:40,799
Speaker 2: get acquired, and you're going to see tremendous desperation for

1033
00:50:40,960 --> 00:50:42,680
Speaker 2: people to be like, this is the next thing, This

1034
00:50:42,760 --> 00:50:44,400
Speaker 2: is the next thing, Throw a bunch of money into this,

1035
00:50:44,719 --> 00:50:48,040
Speaker 2: Like yeah, that's that's gonna be annoying.

1036
00:50:48,600 --> 00:50:48,680
Speaker 5: No.

1037
00:50:48,760 --> 00:50:50,480
Speaker 4: I mean, I feel like people have been talking about

1038
00:50:50,480 --> 00:50:53,520
Speaker 4: the a bubble popping for a while. I have been

1039
00:50:53,600 --> 00:50:58,239
Speaker 4: hearing things from people who think and track this more

1040
00:50:58,239 --> 00:51:00,960
Speaker 4: than I do that if it is going to happen,

1041
00:51:01,000 --> 00:51:04,360
Speaker 4: there's there's indicators that it's more likely to happen in

1042
00:51:04,400 --> 00:51:08,319
Speaker 4: twenty six than it was in twenty five. I'm not

1043
00:51:08,360 --> 00:51:11,680
Speaker 4: going to put money on that on the calshy betting markets,

1044
00:51:12,280 --> 00:51:15,640
Speaker 4: but god, it does seem to be more of a possibility.

1045
00:51:15,719 --> 00:51:18,200
Speaker 4: And you can see this the way people are handling

1046
00:51:18,360 --> 00:51:20,799
Speaker 4: Navidia stock right now and being advised not to buy

1047
00:51:20,840 --> 00:51:22,839
Speaker 4: more stock but still hold what you have.

1048
00:51:23,680 --> 00:51:25,920
Speaker 2: Yeah, and just where Nvidios stock has moved over the

1049
00:51:26,000 --> 00:51:26,640
Speaker 2: last month or so.

1050
00:51:27,040 --> 00:51:29,280
Speaker 4: Yeah, So if you look at what's happening with Navidio,

1051
00:51:29,360 --> 00:51:31,480
Speaker 4: we might have reached the peak and oh yeah, and

1052
00:51:31,520 --> 00:51:33,600
Speaker 4: it might be so jover for some of these guys.

1053
00:51:33,760 --> 00:51:34,040
Speaker 6: Wow.

1054
00:51:34,520 --> 00:51:38,520
Speaker 2: Yeah, I think the big open question is how bad

1055
00:51:38,600 --> 00:51:41,440
Speaker 2: it's going to be there's going to be at least

1056
00:51:41,480 --> 00:51:44,320
Speaker 2: one of these big AI companies, Open Ai or Anthropic

1057
00:51:44,440 --> 00:51:48,319
Speaker 2: or somebody that either goes bust entirely or has to

1058
00:51:48,360 --> 00:51:52,000
Speaker 2: get acquired. But again, if you're looking at this rationally

1059
00:51:52,040 --> 00:51:55,759
Speaker 2: and out wish casting, both Apple, Google, and Microsoft are

1060
00:51:55,840 --> 00:51:58,319
Speaker 2: all perfectly capable of sustaining their rates of burn.

1061
00:51:58,440 --> 00:51:59,640
Speaker 3: Microsoft is still going up.

1062
00:51:59,719 --> 00:52:03,200
Speaker 2: Yeah, yeah, Facebook is as well. And I think what

1063
00:52:03,280 --> 00:52:07,480
Speaker 2: you're likelier to see is contraction and consolidation, which is

1064
00:52:07,520 --> 00:52:09,160
Speaker 2: not to say that it's not going to be disastrous

1065
00:52:09,200 --> 00:52:10,759
Speaker 2: for some group. I think there's a good chance that

1066
00:52:10,760 --> 00:52:14,160
Speaker 2: we do see some banks fail because there's there's some

1067
00:52:14,360 --> 00:52:15,759
Speaker 2: bad investments out there.

1068
00:52:15,840 --> 00:52:20,080
Speaker 3: Yeah, they have been doing collateralized loan obligations, Yeah, where

1069
00:52:20,080 --> 00:52:22,680
Speaker 3: the underlying asset is compute time.

1070
00:52:22,920 --> 00:52:23,280
Speaker 5: Yeah.

1071
00:52:23,600 --> 00:52:26,120
Speaker 3: This is more deranged than two thousand and eight.

1072
00:52:26,560 --> 00:52:26,880
Speaker 5: Yeah.

1073
00:52:27,000 --> 00:52:29,840
Speaker 3: I cannot emphasize this enough. This is the most deranged

1074
00:52:29,880 --> 00:52:32,440
Speaker 3: thing I have seen since the Tulip crisis, Like I

1075
00:52:32,480 --> 00:52:35,560
Speaker 3: cannot explain just good God.

1076
00:52:36,120 --> 00:52:38,200
Speaker 2: So no, I mean the upside that we have over

1077
00:52:38,239 --> 00:52:40,480
Speaker 2: two thousand and eight is that the thing that all

1078
00:52:40,520 --> 00:52:44,440
Speaker 2: of these bad bets are on isn't people's houses, right? Yes, Yeah,

1079
00:52:44,480 --> 00:52:46,600
Speaker 2: and so that does there is a potential that some

1080
00:52:46,680 --> 00:52:48,920
Speaker 2: good comes out of it in terms of like universities

1081
00:52:48,960 --> 00:52:51,120
Speaker 2: getting access to a lot more compute that they can

1082
00:52:51,160 --> 00:52:53,200
Speaker 2: actually use for valuable things.

1083
00:52:53,440 --> 00:52:57,359
Speaker 4: Yeah, and people are already suffering under recession conditions. If

1084
00:52:57,400 --> 00:53:00,520
Speaker 4: you're like a working class person, like you already with

1085
00:53:00,640 --> 00:53:03,600
Speaker 4: the follow it effects of this. Just the stock market

1086
00:53:03,600 --> 00:53:06,800
Speaker 4: itself has been insulated from the rest of the economy

1087
00:53:06,800 --> 00:53:08,640
Speaker 4: which is in a state of recession.

1088
00:53:08,920 --> 00:53:12,239
Speaker 3: And also it can get worse, which so a lot of.

1089
00:53:12,200 --> 00:53:14,440
Speaker 4: People who aren't like super wealthy are like pro this

1090
00:53:14,520 --> 00:53:18,200
Speaker 4: bubble popping and pro this because then if other people,

1091
00:53:18,239 --> 00:53:20,960
Speaker 4: people in power finally realize how bad it is, they're

1092
00:53:21,040 --> 00:53:24,040
Speaker 4: hopeful that then something might be done to like fix

1093
00:53:24,120 --> 00:53:28,040
Speaker 4: some of the material conditions. Which I can understand people's like,

1094
00:53:28,040 --> 00:53:29,680
Speaker 4: like you know point of view there.

1095
00:53:30,000 --> 00:53:32,759
Speaker 2: Yeah, I am not as worried about this being as

1096
00:53:32,840 --> 00:53:35,799
Speaker 2: bad for the average person as two thousand and eight was.

1097
00:53:36,520 --> 00:53:38,600
Speaker 2: I don't think it's going to be as satisfying as

1098
00:53:38,640 --> 00:53:40,480
Speaker 2: people are hoping it was. It's not going to wipe

1099
00:53:40,520 --> 00:53:42,800
Speaker 2: out or put an end to the annoyance of AI

1100
00:53:42,920 --> 00:53:45,839
Speaker 2: in our lives, although it should make it easier to

1101
00:53:46,480 --> 00:53:49,000
Speaker 2: rationalize some of the shit people have been saying, like

1102
00:53:49,160 --> 00:53:51,759
Speaker 2: it should make the craziest of the AI booster's being

1103
00:53:51,760 --> 00:53:53,800
Speaker 2: like this is going to replace everything. The whole economy

1104
00:53:53,800 --> 00:53:55,560
Speaker 2: will be in two years, no one will have a job.

1105
00:53:56,000 --> 00:53:58,120
Speaker 2: That's going to be a lot harder for anybody who's

1106
00:53:58,160 --> 00:54:00,600
Speaker 2: not to not seem like a crazy person while I advocating,

1107
00:54:01,040 --> 00:54:04,840
Speaker 2: but the Internet's going to stay annoying, like unfortunate. I

1108
00:54:04,920 --> 00:54:06,360
Speaker 2: think it's fucked for a little while.

1109
00:54:06,760 --> 00:54:10,920
Speaker 1: Yeah, I think my girly pop economy prediction is that

1110
00:54:10,960 --> 00:54:15,960
Speaker 1: we're going to continue to see influencer shopping. What I

1111
00:54:15,960 --> 00:54:19,520
Speaker 1: mean by that is like influencers have been pushing products

1112
00:54:19,760 --> 00:54:22,000
Speaker 1: like no other and marketing budgets have been going to

1113
00:54:22,400 --> 00:54:25,960
Speaker 1: influencer marketing at a rapid pace. And I think we're

1114
00:54:25,960 --> 00:54:28,319
Speaker 1: going to see the implementation of AI into that more.

1115
00:54:28,360 --> 00:54:32,000
Speaker 1: And I think that that is primarily going to be

1116
00:54:32,080 --> 00:54:34,319
Speaker 1: one of the ways, like we might see less or

1117
00:54:34,400 --> 00:54:37,520
Speaker 1: we'll still see as much, but targeted ads, and we're

1118
00:54:37,560 --> 00:54:40,319
Speaker 1: going to see an addition to that, we'll also see

1119
00:54:40,360 --> 00:54:44,680
Speaker 1: like targeted influencer marketing for products, and like it's already

1120
00:54:44,920 --> 00:54:47,959
Speaker 1: pretty gnarly on like TikTok Instagram, But I think we're

1121
00:54:48,040 --> 00:54:50,040
Speaker 1: only going to see more of that, and it's just gonna,

1122
00:54:50,600 --> 00:54:52,400
Speaker 1: you know, going to be peak capitalism.

1123
00:54:52,440 --> 00:54:56,520
Speaker 4: Care Something that could be really fun is that if

1124
00:54:56,560 --> 00:55:01,120
Speaker 4: it pops, it's going to line up almost perfectly with

1125
00:55:01,280 --> 00:55:05,239
Speaker 4: two thousand and eight nostalgia. So we'll have recession nostalgia,

1126
00:55:05,320 --> 00:55:08,160
Speaker 4: which is already starting to happen in the same time

1127
00:55:08,320 --> 00:55:11,400
Speaker 4: as a whole economic recession. So we'll have the recessions

1128
00:55:11,719 --> 00:55:14,879
Speaker 4: line up in time with their nostalgia cycle, and then

1129
00:55:14,960 --> 00:55:16,640
Speaker 4: you know, it's only a matter of months before you

1130
00:55:16,680 --> 00:55:19,000
Speaker 4: have you know, like twenty tens like hipster stuff come

1131
00:55:19,040 --> 00:55:20,160
Speaker 4: and coming back in.

1132
00:55:20,520 --> 00:55:24,320
Speaker 3: Great, So you know, it's it's right there. We're so close.

1133
00:55:24,560 --> 00:55:26,480
Speaker 4: We're already at that like like you know, two thousand

1134
00:55:26,520 --> 00:55:29,440
Speaker 4: and eight level of two thousands of nostalgia. But if

1135
00:55:29,640 --> 00:55:32,080
Speaker 4: it lines up with the recession, then that could that

1136
00:55:32,120 --> 00:55:33,080
Speaker 4: could be really exciting.

1137
00:55:33,680 --> 00:55:36,080
Speaker 2: Now. I'm also kind of curious as to whether or

1138
00:55:36,080 --> 00:55:38,480
Speaker 2: not we're going to start seeing you know, a lot

1139
00:55:38,480 --> 00:55:41,040
Speaker 2: of the earliest adopters of AI on a regular basis.

1140
00:55:41,080 --> 00:55:44,200
Speaker 2: We're very young people using it to cheat at school, yes,

1141
00:55:44,440 --> 00:55:49,360
Speaker 2: and just kind of trawling different teachers, subreddits and online communities.

1142
00:55:49,719 --> 00:55:52,959
Speaker 2: I'm seeing teachers talk about, like younger kids now there

1143
00:55:52,960 --> 00:55:56,520
Speaker 2: being a backlash among very young people against the use

1144
00:55:56,560 --> 00:55:59,799
Speaker 2: of AI and the way it makes people talk. This

1145
00:55:59,880 --> 00:56:02,000
Speaker 2: is kind of coming alongside as you're starting to see

1146
00:56:02,000 --> 00:56:06,600
Speaker 2: a recovery in lovells of literacy, as schools depart from

1147
00:56:06,680 --> 00:56:09,160
Speaker 2: the bad way of teaching kids to read that fuck

1148
00:56:09,239 --> 00:56:12,400
Speaker 2: everyone up. I don't have any kind of longitudinal statistical

1149
00:56:12,480 --> 00:56:15,080
Speaker 2: data on this. This is all very much anecdotal, so

1150
00:56:15,320 --> 00:56:18,040
Speaker 2: I'm still waiting to see is this a broader trend

1151
00:56:18,120 --> 00:56:20,239
Speaker 2: or did I just come across some people saying this

1152
00:56:20,320 --> 00:56:22,640
Speaker 2: is a thing that they're seeing in their area. But

1153
00:56:22,680 --> 00:56:26,279
Speaker 2: I'm kind of interested. And there's a degree to which

1154
00:56:26,320 --> 00:56:28,920
Speaker 2: I think some sort of backlash against AI is inevitable

1155
00:56:29,000 --> 00:56:32,520
Speaker 2: just because of how everyone running society is trying to

1156
00:56:32,520 --> 00:56:35,880
Speaker 2: push people to replace everything with it. Like that just

1157
00:56:35,960 --> 00:56:39,160
Speaker 2: inevitably is going to irritate the kids because the adults

1158
00:56:39,200 --> 00:56:41,480
Speaker 2: are all doing it right, We'll see.

1159
00:56:41,760 --> 00:56:46,960
Speaker 5: I think people are increasingly better at spotting AI, like

1160
00:56:47,040 --> 00:56:50,600
Speaker 5: intuitively and very quickly. It's something I've seen like not

1161
00:56:50,640 --> 00:56:54,480
Speaker 5: in high school, but like teaching the like a university level.

1162
00:56:54,920 --> 00:56:57,120
Speaker 5: People just being like this is an ir response, and

1163
00:56:57,160 --> 00:56:59,920
Speaker 5: it's fucking cringe like because AI always writes in a

1164
00:57:00,040 --> 00:57:03,520
Speaker 5: particularly cringe way. Right, that is very obvious, and I've

1165
00:57:03,560 --> 00:57:07,000
Speaker 5: seen that. But I genuinely hope more people stop using

1166
00:57:07,040 --> 00:57:10,520
Speaker 5: AI because it is making education a pretty fucking miserable

1167
00:57:10,520 --> 00:57:13,400
Speaker 5: place to be right now, which is Tobama because I

1168
00:57:13,480 --> 00:57:13,880
Speaker 5: like teaching.

1169
00:57:15,000 --> 00:57:17,720
Speaker 3: Let's go on another at break and then return for

1170
00:57:17,800 --> 00:57:33,560
Speaker 3: some midterm predictions. Hey, is it everyone excited? It's another election.

1171
00:57:33,680 --> 00:57:36,480
Speaker 5: You're already people are saying the most important one of

1172
00:57:36,520 --> 00:57:37,680
Speaker 5: our lives, Garrison.

1173
00:57:37,800 --> 00:57:39,760
Speaker 3: I think so, just what I was starting to miss it.

1174
00:57:39,960 --> 00:57:43,800
Speaker 2: Yeah, I'm voting Kamala for every single camera.

1175
00:57:45,840 --> 00:57:51,160
Speaker 4: Single state level position. Yeah, sure, she will be the comptroller.

1176
00:57:50,640 --> 00:57:54,000
Speaker 1: A right, you're killing me. Who do we think is

1177
00:57:54,040 --> 00:57:55,800
Speaker 1: going to run? Gavin Newsome.

1178
00:57:59,440 --> 00:58:00,600
Speaker 2: Midterms?

1179
00:58:00,640 --> 00:58:04,280
Speaker 5: Yeah, unfortunately, Sophie, we have another reporter like talking about

1180
00:58:04,280 --> 00:58:05,080
Speaker 5: twenty twenty eight.

1181
00:58:05,200 --> 00:58:07,960
Speaker 2: Yeah, we don't have to do that until next year's skipped.

1182
00:58:08,120 --> 00:58:10,800
Speaker 1: I've skipped the midterms, and I was already going to

1183
00:58:10,840 --> 00:58:14,360
Speaker 1: the next level of hell, no, no, no, who's going

1184
00:58:14,440 --> 00:58:15,720
Speaker 1: to be governor of California?

1185
00:58:15,840 --> 00:58:16,360
Speaker 2: James?

1186
00:58:16,760 --> 00:58:19,400
Speaker 5: God knows that the Dems have not really been putting

1187
00:58:19,400 --> 00:58:24,760
Speaker 5: their strongest foot forward. Katie Porter had these like really

1188
00:58:24,760 --> 00:58:27,200
Speaker 5: pretty nasty videos come out of the way she was

1189
00:58:27,320 --> 00:58:30,360
Speaker 5: talking to people who work for her. I don't think

1190
00:58:30,640 --> 00:58:32,800
Speaker 5: that that is a good leadership trait, and I don't

1191
00:58:32,840 --> 00:58:34,840
Speaker 5: think that that it's a person we should choose.

1192
00:58:35,440 --> 00:58:35,880
Speaker 3: I don't know.

1193
00:58:36,160 --> 00:58:38,880
Speaker 5: I'm so resigned to being it being someone's shit, you

1194
00:58:38,920 --> 00:58:41,560
Speaker 5: know that, Like I honestly try not to put too

1195
00:58:41,640 --> 00:58:44,000
Speaker 5: much of my time and effort into it. But yeah,

1196
00:58:44,080 --> 00:58:46,800
Speaker 5: I know, maybe I'll be fucking Katie Perry. Maybe Trudeau

1197
00:58:46,920 --> 00:58:52,160
Speaker 5: will pass on his electoral magic. She's got some good songs.

1198
00:58:52,240 --> 00:58:55,040
Speaker 5: She could use them with that. Actually, with the intellectual

1199
00:58:55,040 --> 00:58:58,520
Speaker 5: property licensing, which which Trump doesn't do, she could get

1200
00:58:58,520 --> 00:59:01,800
Speaker 5: that shark. Maybe the shark be vice governor. You know,

1201
00:59:02,080 --> 00:59:05,360
Speaker 5: it's this potential there. We have worried about the shock.

1202
00:59:06,320 --> 00:59:10,480
Speaker 4: So obviously the Democrats are protected to do well in

1203
00:59:10,520 --> 00:59:13,200
Speaker 4: this in this midterm election based on like like like

1204
00:59:13,320 --> 00:59:16,840
Speaker 4: anti Trump sentiment and like the regular swing away from

1205
00:59:16,880 --> 00:59:20,320
Speaker 4: the like whoever is in the executive branch in mid terms.

1206
00:59:20,920 --> 00:59:23,160
Speaker 4: And yeah, I think the Democrats will do well, especially

1207
00:59:23,160 --> 00:59:24,400
Speaker 4: if you look at the last like a month or

1208
00:59:24,440 --> 00:59:29,640
Speaker 4: so of election results. I think it's possible they take

1209
00:59:29,720 --> 00:59:32,640
Speaker 4: both chambers. I think they will absolutely take one.

1210
00:59:33,000 --> 00:59:33,920
Speaker 1: I'm going split.

1211
00:59:34,280 --> 00:59:36,880
Speaker 4: It's possible they take both chambers. I don't think it's

1212
00:59:36,920 --> 00:59:39,600
Speaker 4: going to be a landslide. It's not going to be

1213
00:59:39,600 --> 00:59:42,400
Speaker 4: a blue tsunami blue Nay. I think it may be

1214
00:59:42,520 --> 00:59:45,680
Speaker 4: a blue wave. I think I think a wave or

1215
00:59:45,720 --> 00:59:48,760
Speaker 4: a small wave is likely. I do not think it's

1216
00:59:48,760 --> 00:59:51,640
Speaker 4: going to be a complete blowout. But there's been like

1217
00:59:51,720 --> 00:59:54,880
Speaker 4: especially in the Tennessee's special election, a thirteen point shift

1218
00:59:55,400 --> 00:59:59,760
Speaker 4: towards Democrats. Yeah, we've seen other double digit shifts across

1219
00:59:59,800 --> 01:00:02,520
Speaker 4: the country in the in the past, in the past month.

1220
01:00:03,800 --> 01:00:06,280
Speaker 4: I don't know how much they'll be able to continue

1221
01:00:06,880 --> 01:00:09,880
Speaker 4: that sort of sentiment in you know, nine months time,

1222
01:00:10,080 --> 01:00:14,440
Speaker 4: ten months, eleven months time leading into November. So I

1223
01:00:14,520 --> 01:00:17,240
Speaker 4: think some of that enthusiasm will maybe taper off a

1224
01:00:17,240 --> 01:00:20,040
Speaker 4: little bit as Trump becomes kind of like a lame

1225
01:00:20,280 --> 01:00:24,160
Speaker 4: duck presidency. But I still think they'll do like okay

1226
01:00:24,320 --> 01:00:26,720
Speaker 4: in terms of like the Democrats.

1227
01:00:26,400 --> 01:00:28,560
Speaker 3: I very much disapear. I think this is going to

1228
01:00:28,600 --> 01:00:30,960
Speaker 3: be like a generic de plus fourteen. This is going

1229
01:00:31,040 --> 01:00:34,240
Speaker 3: to be a fucking massacre. What signs are pointing towards that.

1230
01:00:34,640 --> 01:00:38,880
Speaker 3: I mean, they just won the mayorship of Miami.

1231
01:00:39,360 --> 01:00:39,640
Speaker 2: Yeah.

1232
01:00:39,720 --> 01:00:41,800
Speaker 4: Yeah, Well so you're saying it's gonna be good for

1233
01:00:41,840 --> 01:00:42,480
Speaker 4: the Democrats de.

1234
01:00:42,480 --> 01:00:46,120
Speaker 3: Plus fourteen Yeah, like Democrats plus fourteen Okay, Like I'm

1235
01:00:46,120 --> 01:00:50,040
Speaker 3: talking like a a a tsunami. Okay. Got My prediction

1236
01:00:50,640 --> 01:00:53,000
Speaker 3: is that all of the polling people are fucking cowards.

1237
01:00:53,040 --> 01:00:55,440
Speaker 3: What's happening right now with the polling is that they

1238
01:00:55,440 --> 01:00:58,440
Speaker 3: are using the twenty twenty four electorate. Yeah, this is

1239
01:00:58,480 --> 01:01:00,800
Speaker 3: not the twenty twenty four electorate. Have not figured this

1240
01:01:00,840 --> 01:01:04,520
Speaker 3: out yet, No, they are still underestimating the exact scale

1241
01:01:04,520 --> 01:01:05,840
Speaker 3: of which everyone fucking hates them.

1242
01:01:05,880 --> 01:01:10,600
Speaker 2: Like, i'ld be surprised if both houses flip. But yeah,

1243
01:01:10,680 --> 01:01:11,240
Speaker 2: here's the thing.

1244
01:01:11,400 --> 01:01:14,960
Speaker 3: The Cuban parts of Miami, Yeah went left by like

1245
01:01:15,040 --> 01:01:17,320
Speaker 3: fifteen points. Yeah, touch, something we talked about in the show.

1246
01:01:17,360 --> 01:01:19,400
Speaker 3: They are going through and systematically pissing off every single

1247
01:01:19,400 --> 01:01:20,360
Speaker 3: part of their base, right.

1248
01:01:20,800 --> 01:01:20,880
Speaker 4: Like.

1249
01:01:20,960 --> 01:01:22,600
Speaker 3: One of the things one of the stories I've been

1250
01:01:22,600 --> 01:01:25,480
Speaker 3: tracking is about the ways in which they've been spystematically

1251
01:01:25,480 --> 01:01:28,080
Speaker 3: pissing off a whole bunch of farmers who are a

1252
01:01:28,200 --> 01:01:31,480
Speaker 3: very very consistent right wing voting base, and they're pissing

1253
01:01:31,560 --> 01:01:34,360
Speaker 3: them off a trade war bullshit because China's not buying swoybeans, right,

1254
01:01:34,800 --> 01:01:37,360
Speaker 3: this is how they're losing elections in Western Iowa. I

1255
01:01:37,360 --> 01:01:39,240
Speaker 3: think the other part of this too is and this

1256
01:01:39,280 --> 01:01:40,840
Speaker 3: is how I think the momentum is going to be sustained,

1257
01:01:40,840 --> 01:01:43,360
Speaker 3: is that things haven't even gotten as bad as they're

1258
01:01:43,360 --> 01:01:45,840
Speaker 3: going to get yet. The actual standard of living in

1259
01:01:45,840 --> 01:01:48,240
Speaker 3: this country right now, it is going to get so

1260
01:01:48,440 --> 01:01:51,600
Speaker 3: much worse as as all of the inflation stuff sort

1261
01:01:51,600 --> 01:01:54,560
Speaker 3: of racks up, et cetera, et cetera. Like the country

1262
01:01:54,600 --> 01:01:56,320
Speaker 3: is going to be worse. Everyone's going to be more

1263
01:01:56,320 --> 01:01:59,640
Speaker 3: pissed off. Trump is going to have bombed like four

1264
01:01:59,720 --> 01:02:02,600
Speaker 3: more countries. We're gonna have like cent troops into Mexico

1265
01:02:02,720 --> 01:02:05,480
Speaker 3: or some shit. He's going to be so unpopular it's

1266
01:02:05,480 --> 01:02:07,440
Speaker 3: going to be like it's gonna be the fucking flood

1267
01:02:07,640 --> 01:02:08,920
Speaker 3: out there that's possible.

1268
01:02:09,440 --> 01:02:12,840
Speaker 5: Yeah, I think the incompacy advantage becomes less and less

1269
01:02:12,920 --> 01:02:15,640
Speaker 5: relevant the worse the economy gets. And like that was

1270
01:02:15,680 --> 01:02:18,320
Speaker 5: something Biden got hit with, right, that Trump is is

1271
01:02:18,360 --> 01:02:20,960
Speaker 5: going to have to wear especially we get further and

1272
01:02:21,000 --> 01:02:21,840
Speaker 5: further into his term.

1273
01:02:21,920 --> 01:02:23,480
Speaker 2: Right, it's a Trump economy.

1274
01:02:23,800 --> 01:02:27,880
Speaker 4: I guess this just requires that the current momentum Democrats

1275
01:02:27,920 --> 01:02:30,440
Speaker 4: have to be maintained for a while, which is something

1276
01:02:30,480 --> 01:02:32,800
Speaker 4: that historically Democrats haven't been great at.

1277
01:02:32,960 --> 01:02:34,360
Speaker 2: Yes, yeah, they've shit at it.

1278
01:02:34,440 --> 01:02:37,240
Speaker 4: So this will require effort for you know, people like

1279
01:02:37,360 --> 01:02:40,880
Speaker 4: organizing with the Democrats and social media messaging, like actual

1280
01:02:40,920 --> 01:02:44,440
Speaker 4: in person like like electoral organizing to really keep this

1281
01:02:44,520 --> 01:02:48,800
Speaker 4: momentum pressure going for the next eleven months, which which

1282
01:02:48,960 --> 01:02:51,000
Speaker 4: is you know, they've they've done a good job at

1283
01:02:51,000 --> 01:02:53,400
Speaker 4: this the past like six months, but can they like

1284
01:02:53,440 --> 01:02:55,840
Speaker 4: maintain this to the midterms. That's the only point where

1285
01:02:55,840 --> 01:02:58,400
Speaker 4: I start to hesitate in terms of like the scale

1286
01:02:58,440 --> 01:03:00,560
Speaker 4: of like a blue wave. But I think it's it's

1287
01:03:00,560 --> 01:03:02,760
Speaker 4: certainly possible that that they end up doing quite well,

1288
01:03:02,800 --> 01:03:06,280
Speaker 4: but it's going to be reliant on like maintaining this pressure.

1289
01:03:06,680 --> 01:03:11,240
Speaker 2: No, there's still some structural difficulties that make flipping Congress

1290
01:03:11,400 --> 01:03:13,200
Speaker 2: entirely very.

1291
01:03:13,040 --> 01:03:15,520
Speaker 4: Difficult, especially with the redistricting stuff happening.

1292
01:03:15,600 --> 01:03:15,760
Speaker 8: Yeah.

1293
01:03:15,840 --> 01:03:18,760
Speaker 4: Yeah, so like could they take the Senate quite easily? Yeah,

1294
01:03:18,840 --> 01:03:21,240
Speaker 4: the House still up in the air. For me, I

1295
01:03:21,240 --> 01:03:24,680
Speaker 4: think lean the Democrat at this point, certainly leaning Democrat,

1296
01:03:24,800 --> 01:03:26,760
Speaker 4: but still not confident.

1297
01:03:26,520 --> 01:03:28,840
Speaker 2: That'd be great. I just I don't want to get irrationally,

1298
01:03:29,280 --> 01:03:31,440
Speaker 2: you know, ahead of our skizier.

1299
01:03:31,960 --> 01:03:35,280
Speaker 3: I have watched very very dysfunctional state Democratic parties win

1300
01:03:35,320 --> 01:03:39,360
Speaker 3: elections and districts that were R plus twenty two. Anything

1301
01:03:39,520 --> 01:03:40,160
Speaker 3: happened at this point.

1302
01:03:40,320 --> 01:03:43,760
Speaker 5: Yeah, no, Yeah, it's not coming from a national strategy.

1303
01:03:43,920 --> 01:03:47,080
Speaker 5: It's coming from like local candidates doing well on local

1304
01:03:47,120 --> 01:03:50,160
Speaker 5: issues and people fucking hating Trump. Yeah, it is not

1305
01:03:50,240 --> 01:03:55,720
Speaker 5: the DNC who is putting Higgins or Mam Dami in office. Well, yeah,

1306
01:03:55,840 --> 01:03:58,440
Speaker 5: that is, uh, I guess a good thing because the

1307
01:03:58,480 --> 01:04:00,720
Speaker 5: DNT fucking sucks. It has always fucking sucked, and it

1308
01:04:00,760 --> 01:04:02,800
Speaker 5: has really reinforced how much it sucks in the last

1309
01:04:03,040 --> 01:04:03,600
Speaker 5: eight years.

1310
01:04:03,760 --> 01:04:03,960
Speaker 1: Yeah.

1311
01:04:03,960 --> 01:04:05,880
Speaker 4: And being able to hit Trump and Republicans on the

1312
01:04:05,920 --> 01:04:09,440
Speaker 4: economy with tariffs this like oh the garky stuff, has

1313
01:04:09,480 --> 01:04:11,840
Speaker 4: proven to be pretty successful so far, and I think

1314
01:04:12,160 --> 01:04:15,160
Speaker 4: being able to continue that messaging as the economy trends

1315
01:04:15,160 --> 01:04:18,440
Speaker 4: in its current direction, being able to continue that messaging,

1316
01:04:18,480 --> 01:04:22,680
Speaker 4: I think will help the Democrats. Interestingly, a Plattner in

1317
01:04:23,040 --> 01:04:26,520
Speaker 4: Maine still seems to be the front runner for that race,

1318
01:04:27,320 --> 01:04:29,680
Speaker 4: so I think there's a decent chance we get our

1319
01:04:29,960 --> 01:04:31,760
Speaker 4: first total COB in the Senate.

1320
01:04:31,880 --> 01:04:36,720
Speaker 5: Well, absolutely, dog shit cover up. I'm sorry if you

1321
01:04:36,760 --> 01:04:38,280
Speaker 5: are listening and you did that yet to you, but

1322
01:04:38,320 --> 01:04:39,680
Speaker 5: it's probably not your best work.

1323
01:04:39,800 --> 01:04:42,360
Speaker 2: Like he's got a blob now.

1324
01:04:42,680 --> 01:04:45,320
Speaker 4: That stuff just did not prove to be super impactful

1325
01:04:45,360 --> 01:04:47,880
Speaker 4: to the actual voters in Maine, it seems, and the

1326
01:04:48,040 --> 01:04:51,840
Speaker 4: actual like focus on his talking points have maintained his lead.

1327
01:04:52,120 --> 01:04:54,760
Speaker 4: So I think that's something that Democrats can also look

1328
01:04:54,880 --> 01:04:56,920
Speaker 4: look to. Yeah, in terms of like how much of

1329
01:04:56,960 --> 01:05:00,200
Speaker 4: these like you know, like tertiary like personal attacks, like

1330
01:05:00,520 --> 01:05:05,600
Speaker 4: you know, genuine, yeah, genuinely valid valid complaints or issues

1331
01:05:06,000 --> 01:05:09,240
Speaker 4: are are not very dominant based on how much emphsis

1332
01:05:09,280 --> 01:05:11,360
Speaker 4: is actually getting put on. This is sort of like

1333
01:05:11,400 --> 01:05:13,200
Speaker 4: a affordability messaging.

1334
01:05:13,480 --> 01:05:15,800
Speaker 1: To wrap up this predictions episode, should we do a

1335
01:05:15,880 --> 01:05:17,800
Speaker 1: quick death pick?

1336
01:05:18,040 --> 01:05:18,960
Speaker 3: No, one's gonna die.

1337
01:05:19,200 --> 01:05:20,560
Speaker 2: I thought you're gonna ask it. Do you think we're

1338
01:05:20,600 --> 01:05:22,600
Speaker 2: going to invade Venezuela?

1339
01:05:22,840 --> 01:05:22,880
Speaker 1: No?

1340
01:05:23,000 --> 01:05:24,600
Speaker 4: See, this is what I'm interested in. I'm more interested

1341
01:05:24,640 --> 01:05:26,360
Speaker 4: in are we going to start any wars?

1342
01:05:26,560 --> 01:05:26,760
Speaker 2: Yes?

1343
01:05:27,080 --> 01:05:28,760
Speaker 3: And is his cabinet going to stay the same?

1344
01:05:28,920 --> 01:05:31,040
Speaker 2: Kindness already have started.

1345
01:05:31,320 --> 01:05:34,959
Speaker 1: To answer your first question, yes, yeah, is the caba

1346
01:05:35,040 --> 01:05:38,320
Speaker 1: going to stay the same. I'm surprised.

1347
01:05:38,360 --> 01:05:41,160
Speaker 4: It's weird, right, trump first term. There was a lot

1348
01:05:41,200 --> 01:05:42,720
Speaker 4: of cabinet turnover in the first year.

1349
01:05:42,800 --> 01:05:45,440
Speaker 3: Sure, Scaramouchi, this is this is not happening this year.

1350
01:05:45,960 --> 01:05:49,400
Speaker 4: This year they stayed pretty tight knit despite a lot

1351
01:05:49,400 --> 01:05:54,520
Speaker 4: of turmoils or like you know, issues around like Cash Hotel, Pambondi,

1352
01:05:55,000 --> 01:05:58,080
Speaker 4: RFK Junior, Pete haig Seth with the double tap war

1353
01:05:58,120 --> 01:06:02,920
Speaker 4: crime strikes. No, they're pretty tight knit, it seems so.

1354
01:06:03,680 --> 01:06:05,720
Speaker 4: I don't know if there's gonna be cabinet turnover.

1355
01:06:06,320 --> 01:06:08,520
Speaker 1: I think Cash Battel will be out next year.

1356
01:06:08,800 --> 01:06:11,920
Speaker 2: Yeah, I think Cash might have Yeah, might be on

1357
01:06:11,960 --> 01:06:13,920
Speaker 2: the edge of his lost the podcast price.

1358
01:06:14,160 --> 01:06:16,000
Speaker 3: He just found the Jasics pipe bomber. I don't think

1359
01:06:16,000 --> 01:06:16,640
Speaker 3: it's gonna happen.

1360
01:06:16,680 --> 01:06:18,680
Speaker 4: I think the cabinet's gonna stay the same, which I

1361
01:06:18,720 --> 01:06:23,200
Speaker 4: predicted against last year. But I think based on how

1362
01:06:23,240 --> 01:06:28,240
Speaker 4: they've weathered certain controversies, I do not know if Trump

1363
01:06:28,440 --> 01:06:31,160
Speaker 4: cares enough to do cabinet turnover.

1364
01:06:31,520 --> 01:06:34,360
Speaker 2: Yeah who I was talking to him about these things. Yeah,

1365
01:06:34,440 --> 01:06:36,200
Speaker 2: well see, I don't there's no one that I think

1366
01:06:36,280 --> 01:06:40,080
Speaker 2: is an obvious choice. I think the likeliest turnover is Paatel.

1367
01:06:40,080 --> 01:06:41,240
Speaker 1: Then maybe hag Seth.

1368
01:06:41,640 --> 01:06:43,720
Speaker 2: I don't think he's gonna go I think heg Seth

1369
01:06:43,840 --> 01:06:47,560
Speaker 2: is too loyal. He's a he's a team player, sure,

1370
01:06:47,880 --> 01:06:50,480
Speaker 2: and he has absolutely no chance of going into business

1371
01:06:50,480 --> 01:06:51,439
Speaker 2: for himself. Right.

1372
01:06:51,640 --> 01:06:54,000
Speaker 4: This is the big thing is that it's not a

1373
01:06:54,120 --> 01:06:58,240
Speaker 4: skiller competency that got these people their jobs, which you know,

1374
01:06:58,240 --> 01:07:00,360
Speaker 4: it's kind of kind of was a factor in Trump

1375
01:07:00,400 --> 01:07:02,560
Speaker 4: one point zero, in Trump two point zero.

1376
01:07:02,600 --> 01:07:04,160
Speaker 3: It is just pure loyalty.

1377
01:07:04,440 --> 01:07:05,720
Speaker 2: Yeah, yeah, yeah.

1378
01:07:05,760 --> 01:07:07,480
Speaker 4: And if they're able to prove that, especially around like

1379
01:07:07,480 --> 01:07:13,360
Speaker 4: you know, the Epstein stuff really really tested those those loyalties. Yes,

1380
01:07:13,800 --> 01:07:16,240
Speaker 4: And if they're able to get out of the Epstein controversy,

1381
01:07:16,520 --> 01:07:18,840
Speaker 4: it's like kind of intact, then I think all these

1382
01:07:18,840 --> 01:07:21,320
Speaker 4: guys will be set for like the next next little bed.

1383
01:07:21,680 --> 01:07:23,920
Speaker 4: I guess, do we think Vance is ever going to

1384
01:07:23,960 --> 01:07:26,600
Speaker 4: become a president during the next like year or two?

1385
01:07:27,680 --> 01:07:30,240
Speaker 2: Trump is like eighties, So I'm not gonna say there's

1386
01:07:30,440 --> 01:07:33,240
Speaker 2: not a twenty or thirty percent chance that just like

1387
01:07:33,440 --> 01:07:36,040
Speaker 2: if Donald Trump dies, Vance becomes the president, right, sure,

1388
01:07:36,080 --> 01:07:37,920
Speaker 2: and like he's at the age where he could just

1389
01:07:38,000 --> 01:07:41,640
Speaker 2: drop dead right outside of that, No, I don't think

1390
01:07:41,680 --> 01:07:42,880
Speaker 2: he's likely to become president.

1391
01:07:42,960 --> 01:07:47,000
Speaker 5: Yeah, I do think in the next twelve months the

1392
01:07:47,160 --> 01:07:51,280
Speaker 5: US will begin a UAV campaign in the sahell quite

1393
01:07:51,280 --> 01:07:53,960
Speaker 5: possibly in Nigeria, Like, I think, yeah, that's possibly in

1394
01:07:53,960 --> 01:07:56,880
Speaker 5: the next twelve weeks, just looking at flights that they've

1395
01:07:56,880 --> 01:07:57,800
Speaker 5: had very recently.

1396
01:07:58,120 --> 01:08:00,920
Speaker 2: There's a decent chance too that they expanding the use

1397
01:08:00,920 --> 01:08:04,800
Speaker 2: of special forces and maybe even keep fobs open without

1398
01:08:04,840 --> 01:08:08,520
Speaker 2: the willingness of the Nigerian government. But that's a longer shot. Yeah,

1399
01:08:08,560 --> 01:08:12,320
Speaker 2: and the Nigerian government's pretty pretty into it right now. Yeah.

1400
01:08:12,440 --> 01:08:13,960
Speaker 3: Do you think they're going to put troops in the

1401
01:08:14,000 --> 01:08:16,480
Speaker 3: ground at either Mexico or Venezuela.

1402
01:08:16,520 --> 01:08:20,240
Speaker 2: I think there's a good chance that we utilize special

1403
01:08:20,320 --> 01:08:23,519
Speaker 2: forces on the ground in parts of Mexico for brief

1404
01:08:23,560 --> 01:08:27,040
Speaker 2: periods of time. That's a good chance that we already have. Yeah,

1405
01:08:27,040 --> 01:08:29,760
Speaker 2: I mean we almost certainly already have. I think there's

1406
01:08:29,800 --> 01:08:32,040
Speaker 2: a chance that we wind up having people on the

1407
01:08:32,080 --> 01:08:34,840
Speaker 2: ground in Venezuela after a fuck up, right, Like, but

1408
01:08:34,920 --> 01:08:37,600
Speaker 2: I think that at present their plan is airstrikes and

1409
01:08:37,640 --> 01:08:40,280
Speaker 2: drone strikes. I think if we were to wind up

1410
01:08:40,320 --> 01:08:42,519
Speaker 2: having anything on the ground in Venezuela, it would be

1411
01:08:42,920 --> 01:08:45,280
Speaker 2: as a result of like a strike with a manned

1412
01:08:45,320 --> 01:08:49,240
Speaker 2: craft going badly and someone going down over Venezuela. That's

1413
01:08:49,240 --> 01:08:51,920
Speaker 2: not a zero percent chance if they keep fucking around.

1414
01:08:51,920 --> 01:08:54,639
Speaker 2: But I really don't think they want to have troops

1415
01:08:54,680 --> 01:08:56,599
Speaker 2: on the ground in Venezuela. I think they want to

1416
01:08:56,600 --> 01:08:58,480
Speaker 2: be striking targets in Venezuela.

1417
01:08:58,600 --> 01:09:00,800
Speaker 5: Yeah, it's not a place where they want. You want

1418
01:09:00,840 --> 01:09:03,080
Speaker 5: lad to them by the troops to be to be

1419
01:09:03,479 --> 01:09:06,559
Speaker 5: engaging like that wouldn't go well. Trump does not want

1420
01:09:06,600 --> 01:09:09,439
Speaker 5: to wear that, right, like if we saw in Syria,

1421
01:09:10,000 --> 01:09:13,160
Speaker 5: like he wasn't willing to deploy large now with the troops.

1422
01:09:13,200 --> 01:09:17,040
Speaker 5: He was willing to use a lot of drone and

1423
01:09:17,120 --> 01:09:20,280
Speaker 5: air strikes even when the civilian cost was very high.

1424
01:09:20,320 --> 01:09:22,600
Speaker 5: And I think that is the model, Like that that

1425
01:09:22,720 --> 01:09:25,719
Speaker 5: strike cell model that we saw, like like the strike

1426
01:09:25,800 --> 01:09:27,519
Speaker 5: in Bagus at the end of the Islamic State is

1427
01:09:27,520 --> 01:09:30,479
Speaker 5: probably a good example of the sort of yeah quote

1428
01:09:30,560 --> 01:09:33,559
Speaker 5: unquote collateral damage like killing civilians that we can expect

1429
01:09:33,640 --> 01:09:34,960
Speaker 5: them to see as acceptable.

1430
01:09:35,280 --> 01:09:36,960
Speaker 3: I think the final point on this is that the

1431
01:09:36,960 --> 01:09:41,000
Speaker 3: Trump administration genuinely believes that they can top of visions

1432
01:09:41,040 --> 01:09:42,519
Speaker 3: with their strikes. They thought they thought this with the

1433
01:09:42,520 --> 01:09:44,720
Speaker 3: who the US and they think there's buff Venezuela. They

1434
01:09:44,920 --> 01:09:47,360
Speaker 3: actually think you can do this despite all evidence of

1435
01:09:47,360 --> 01:09:50,080
Speaker 3: the contrary. So I think it's going to inform a

1436
01:09:50,080 --> 01:09:51,000
Speaker 3: lot of their decisions.

1437
01:09:51,200 --> 01:09:53,840
Speaker 5: Yeah, and I think Syria like kind of not not

1438
01:09:53,920 --> 01:09:58,599
Speaker 5: Syria with a sad but Syria with the Islamic State reinforced.

1439
01:09:57,439 --> 01:09:58,000
Speaker 2: That for them.

1440
01:09:58,160 --> 01:10:01,000
Speaker 5: But like the obviously overlooking like that they have incredible potnafource,

1441
01:10:01,080 --> 01:10:02,719
Speaker 5: so they don't have in these places.

1442
01:10:03,240 --> 01:10:06,840
Speaker 4: Yeah, well, I think that's our predictions. First time we're

1443
01:10:06,840 --> 01:10:08,519
Speaker 4: not doing a desk segment. And you know what, I

1444
01:10:08,600 --> 01:10:12,800
Speaker 4: feel fine a that Yep, no one's gonna die twenty

1445
01:10:12,880 --> 01:10:13,759
Speaker 4: twenty seven, Marcy.

1446
01:10:13,800 --> 01:10:15,200
Speaker 5: Yeah, still I'm not going to say it this time

1447
01:10:15,240 --> 01:10:18,160
Speaker 5: because I've been in adversually blessing him with long life.

1448
01:10:28,960 --> 01:10:32,000
Speaker 2: Welcome back to it could happen here, a podcast about

1449
01:10:32,120 --> 01:10:36,840
Speaker 2: it happening well in various places, and given the nature

1450
01:10:36,960 --> 01:10:41,040
Speaker 2: of our digital, interconnected society, it is happening here all

1451
01:10:41,160 --> 01:10:44,080
Speaker 2: the time. But if you're even casually aware of what's

1452
01:10:44,120 --> 01:10:46,600
Speaker 2: going on in the world right now, it is particularly

1453
01:10:46,720 --> 01:10:50,479
Speaker 2: happening in Venezuela right now. And joining me to talk

1454
01:10:50,640 --> 01:10:56,000
Speaker 2: about the US led and executed kidnapping of a world

1455
01:10:56,080 --> 01:11:00,920
Speaker 2: leader is my two favorite kidnappers, Mia Wong and James Stout.

1456
01:11:01,600 --> 01:11:03,879
Speaker 5: Glad to be herero but joining you to discuss kidnapping,

1457
01:11:03,920 --> 01:11:04,920
Speaker 5: one of my favorite topics.

1458
01:11:05,240 --> 01:11:07,479
Speaker 3: Yeah, my lawyers have advised me not to respond to

1459
01:11:07,560 --> 01:11:08,040
Speaker 3: the statement.

1460
01:11:10,560 --> 01:11:13,320
Speaker 2: Now, given all the people you both kidnapped, how are

1461
01:11:13,360 --> 01:11:16,479
Speaker 2: you just rating this on a technical level as kidnappings go,

1462
01:11:16,760 --> 01:11:21,000
Speaker 2: you know, on a level from let's say, uh, the well,

1463
01:11:21,040 --> 01:11:22,960
Speaker 2: if I remember the name of that guy with the plane,

1464
01:11:23,000 --> 01:11:24,720
Speaker 2: this would have been a funnier joke. I forgot his

1465
01:11:24,880 --> 01:11:28,040
Speaker 2: name though, No, no, no, he was on a plane,

1466
01:11:28,120 --> 01:11:28,960
Speaker 2: didn't have a plane.

1467
01:11:29,000 --> 01:11:32,120
Speaker 3: Yeah, that's a reverse kidnapping. He kidnapped me, he did

1468
01:11:32,240 --> 01:11:36,000
Speaker 3: on kidnap himself everyone on the plane plane.

1469
01:11:37,240 --> 01:11:39,880
Speaker 2: I was talking about Lindberg, Charles Lindberg. But the jokes,

1470
01:11:40,040 --> 01:11:44,080
Speaker 2: the joke's over. So let's talk about the international crimes

1471
01:11:44,200 --> 01:11:47,320
Speaker 2: our government's doing. Yeah, did, did and doing.

1472
01:11:48,160 --> 01:11:50,000
Speaker 5: I'm drinking a white claw, so I've got about the

1473
01:11:50,040 --> 01:11:52,320
Speaker 5: same legal jurisdiction as they have, because there is no

1474
01:11:52,560 --> 01:11:55,519
Speaker 5: law when you're drinking white yeah, which I think is

1475
01:11:55,640 --> 01:11:56,519
Speaker 5: the legal argument.

1476
01:11:57,400 --> 01:12:01,040
Speaker 2: I mean, yeah, So what happened is is, while most

1477
01:12:01,080 --> 01:12:05,280
Speaker 2: of us were asleep last Saturday night, the United States,

1478
01:12:05,600 --> 01:12:09,080
Speaker 2: using a mix of special forces like Tier one operators.

1479
01:12:09,240 --> 01:12:12,920
Speaker 2: This was like adulta force operation, primarily a whole bunch

1480
01:12:13,240 --> 01:12:16,680
Speaker 2: of helicopters that looked like a mix of Blackhawks and Chinooks.

1481
01:12:17,280 --> 01:12:21,280
Speaker 2: Carried out a series of airstrikes on Caracas, and kidnapped

1482
01:12:21,479 --> 01:12:26,040
Speaker 2: the president of Venezuela, Nicholas Maduro, and his wife, killing

1483
01:12:26,160 --> 01:12:29,640
Speaker 2: a significant chunk of their security detail, including thirty two

1484
01:12:29,720 --> 01:12:34,439
Speaker 2: Cubans who were acting as essentially like military advisors slash

1485
01:12:34,800 --> 01:12:38,519
Speaker 2: security for Maduro. Yeah, he has been taken back to

1486
01:12:38,560 --> 01:12:42,120
Speaker 2: the United States. He's been arraigned in New York. They're

1487
01:12:42,200 --> 01:12:46,320
Speaker 2: charging him with a variety of drug and gun related crimes,

1488
01:12:46,400 --> 01:12:49,120
Speaker 2: including some weird shit like possession of a machine gun

1489
01:12:49,800 --> 01:12:52,920
Speaker 2: under US law, which is really weird. I guess they're

1490
01:12:53,000 --> 01:12:56,680
Speaker 2: arguing that his control of the Venezuelan military counted as

1491
01:12:56,680 --> 01:13:00,439
Speaker 2: a legal possession of an automatic weapon. Yeah, it's weird.

1492
01:13:01,080 --> 01:13:05,280
Speaker 5: Yeah, And guessing it involves using the machine gun in

1493
01:13:05,320 --> 01:13:09,160
Speaker 5: the furtherance of another crime, because there are specific charges

1494
01:13:09,320 --> 01:13:13,880
Speaker 5: for like NFA violations related to drug things. Sure, but

1495
01:13:14,000 --> 01:13:16,800
Speaker 5: it still seems very weird to tag that on there.

1496
01:13:16,920 --> 01:13:19,439
Speaker 5: Like when what you're doing is kidnapping a world leader,

1497
01:13:19,479 --> 01:13:20,880
Speaker 5: you can't just also be like, oh, and he's got

1498
01:13:20,880 --> 01:13:23,880
Speaker 5: a gun, like when he commands the armed forces of

1499
01:13:23,920 --> 01:13:25,840
Speaker 5: a country. It's very strange, right.

1500
01:13:26,160 --> 01:13:26,360
Speaker 4: Yeah.

1501
01:13:26,960 --> 01:13:29,719
Speaker 3: This also I think pins into what's really really weird

1502
01:13:29,760 --> 01:13:32,120
Speaker 3: about this. There's two aspects of this that are just

1503
01:13:32,360 --> 01:13:35,800
Speaker 3: what the fuck. One of them is that the legal justification,

1504
01:13:36,080 --> 01:13:40,080
Speaker 3: this is given to Mike Lee from Secretary of State

1505
01:13:40,120 --> 01:13:44,200
Speaker 3: Mark or Rubio, was that the reason that there were

1506
01:13:44,320 --> 01:13:50,480
Speaker 3: airstrikes in the legal justification was protecting US soldiers carrying.

1507
01:13:50,640 --> 01:13:53,800
Speaker 2: Out the US law enforcement. The military was needed to

1508
01:13:53,960 --> 01:13:58,400
Speaker 2: protect the DEA agents who are actually conducting the arrest, right,

1509
01:13:58,520 --> 01:13:59,760
Speaker 2: is the legal justification.

1510
01:14:00,160 --> 01:14:04,240
Speaker 5: Yeah, the chances of some kind of due process violation

1511
01:14:04,479 --> 01:14:08,479
Speaker 5: are hot. This all hinges on you thinking that the

1512
01:14:08,600 --> 01:14:11,840
Speaker 5: law is a fixed thing, right, not an instrument of

1513
01:14:11,960 --> 01:14:13,960
Speaker 5: the state and an instrument of power. And I think

1514
01:14:14,439 --> 01:14:17,280
Speaker 5: that a more plausible analysis here is is that the

1515
01:14:17,360 --> 01:14:20,680
Speaker 5: law is not a fixed thing. But like in this instance, right,

1516
01:14:20,920 --> 01:14:22,760
Speaker 5: if we if we go with that line, like the

1517
01:14:23,479 --> 01:14:26,360
Speaker 5: da people were there to ensure due process and to

1518
01:14:26,479 --> 01:14:28,760
Speaker 5: make the arrest right. And in theory I've read that

1519
01:14:28,840 --> 01:14:32,479
Speaker 5: they literally had someone mirandize him, right.

1520
01:14:32,800 --> 01:14:34,600
Speaker 3: Yeah, which, okay, I want to I do want to

1521
01:14:34,600 --> 01:14:36,000
Speaker 3: put someth the think cure though, and this is something

1522
01:14:36,040 --> 01:14:37,920
Speaker 3: that CNN like when they were reporting on this point.

1523
01:14:37,960 --> 01:14:42,479
Speaker 3: So this is insane because this implies that US law

1524
01:14:42,640 --> 01:14:44,720
Speaker 3: applies in Venezuela.

1525
01:14:44,360 --> 01:14:47,080
Speaker 2: Right, which is absolutely that's.

1526
01:14:47,280 --> 01:14:50,400
Speaker 3: Literally the point. The point of a state is that

1527
01:14:50,520 --> 01:14:52,920
Speaker 3: your law applies inside of your board.

1528
01:14:53,120 --> 01:14:57,439
Speaker 2: The argument that they are making because Trump directly and

1529
01:14:57,800 --> 01:15:01,600
Speaker 2: and prior to this had called in to relevance the

1530
01:15:01,720 --> 01:15:05,639
Speaker 2: Monroe Doctrine, right, which is basically stating that everything happening

1531
01:15:05,680 --> 01:15:08,639
Speaker 2: in the Americas is the purview of the United States.

1532
01:15:08,840 --> 01:15:11,840
Speaker 2: This was initially and they're still arguing that it is

1533
01:15:12,040 --> 01:15:14,680
Speaker 2: kind of a what President Monroe was using as an

1534
01:15:14,720 --> 01:15:20,519
Speaker 2: excuse for intervening in situations where foreign colonizers were attempting

1535
01:15:20,600 --> 01:15:24,400
Speaker 2: to exert power and colonies they owned in the Americas

1536
01:15:24,560 --> 01:15:27,439
Speaker 2: or had owned in the Americas, right, And the US

1537
01:15:27,560 --> 01:15:31,120
Speaker 2: was basically saying, fuck you, this is our backyard, right.

1538
01:15:32,080 --> 01:15:34,599
Speaker 2: And I think the aru the argument that they're making

1539
01:15:34,680 --> 01:15:39,000
Speaker 2: now is that that's relevant because Iran and Russia and

1540
01:15:39,200 --> 01:15:44,679
Speaker 2: Cuba all have political and business interests in Venezuela, particularly Cuba.

1541
01:15:46,120 --> 01:15:48,599
Speaker 2: But in a more broad sense, they're making the argument

1542
01:15:48,760 --> 01:15:52,040
Speaker 2: and Stephen Miller has made this very directly, that the

1543
01:15:52,120 --> 01:15:55,679
Speaker 2: Americas are all kind of our property, and we're perfectly

1544
01:15:55,920 --> 01:15:59,880
Speaker 2: justified in intervening to take resources that we want, because

1545
01:16:00,000 --> 01:16:02,799
Speaker 2: we shouldn't have to just accept that a foreign country

1546
01:16:02,840 --> 01:16:05,479
Speaker 2: has different opinions and how those resources should be used

1547
01:16:05,520 --> 01:16:10,200
Speaker 2: in the United States, and that we have no moral

1548
01:16:10,280 --> 01:16:15,200
Speaker 2: responsibility to listen to what other people want in our hemisphere.

1549
01:16:15,520 --> 01:16:19,000
Speaker 2: It's our hemisphere. Yeah, and we, meaning the Trump administration,

1550
01:16:19,160 --> 01:16:20,439
Speaker 2: should do whatever we want.

1551
01:16:21,040 --> 01:16:21,240
Speaker 4: Yeah.

1552
01:16:21,280 --> 01:16:23,639
Speaker 3: And I think there's two kind of lego pspective here

1553
01:16:23,680 --> 01:16:25,519
Speaker 3: things that are important. One. I think there's that one,

1554
01:16:25,560 --> 01:16:28,400
Speaker 3: which is, yeah, the American Empire is just saying we

1555
01:16:28,439 --> 01:16:30,000
Speaker 3: are an empire and we could do whatever we want.

1556
01:16:30,439 --> 01:16:32,519
Speaker 3: But then there's also the does the president have the

1557
01:16:32,520 --> 01:16:35,720
Speaker 3: power to do this unilaterally piece of it which no,

1558
01:16:35,880 --> 01:16:39,400
Speaker 3: he no, like just does not, Like this is objectively

1559
01:16:39,439 --> 01:16:42,280
Speaker 3: an act of war. Right, and previously right, A lot

1560
01:16:42,280 --> 01:16:45,240
Speaker 3: of administrations have done things kind of like this, yeah, right,

1561
01:16:45,439 --> 01:16:48,720
Speaker 3: but like everything has been under the fig leaf of

1562
01:16:49,000 --> 01:16:51,880
Speaker 3: the AUMF. Right, the two thousand and one Authorization of

1563
01:16:52,000 --> 01:16:54,640
Speaker 3: Use of Military Force, which if you go back and

1564
01:16:54,680 --> 01:16:58,760
Speaker 3: read the document, the actual like AUMF, it's very clear

1565
01:16:58,840 --> 01:17:01,320
Speaker 3: that it's anyone who's really to nine to eleven. Yeah,

1566
01:17:02,080 --> 01:17:04,120
Speaker 3: and so this has been used to do interventions in

1567
01:17:04,240 --> 01:17:06,240
Speaker 3: like places and things that have nothing to do with this, right,

1568
01:17:06,280 --> 01:17:09,880
Speaker 3: But this is not even that. This is just the

1569
01:17:10,080 --> 01:17:13,880
Speaker 3: president claiming that he can do acts of war.

1570
01:17:14,680 --> 01:17:17,200
Speaker 5: Yeah, and so I guess the justification that they gave

1571
01:17:17,800 --> 01:17:20,840
Speaker 5: was the example they cited was Nadiego right in eighty

1572
01:17:21,320 --> 01:17:25,400
Speaker 5: nine in Panama. Right, that was that was a war

1573
01:17:25,840 --> 01:17:29,960
Speaker 5: that was operations, like American soldiers died, and no Diego

1574
01:17:30,280 --> 01:17:32,560
Speaker 5: went to the Vatican embassy and eventually I believe he

1575
01:17:32,600 --> 01:17:35,599
Speaker 5: surrounded him. They've like blasted you two at him, which

1576
01:17:35,680 --> 01:17:39,840
Speaker 5: is obviously a war crime, and he eventually left the

1577
01:17:39,920 --> 01:17:42,800
Speaker 5: embassy around negotiated his exit, I guess. But that's a

1578
01:17:42,880 --> 01:17:47,280
Speaker 5: completely different thing to just bouncing into the residence of

1579
01:17:47,320 --> 01:17:49,879
Speaker 5: the president of another country at nine black backg.

1580
01:17:49,880 --> 01:17:54,799
Speaker 2: Like that's also debatably legal. But yes, it was a difference, Yeah.

1581
01:17:54,720 --> 01:17:55,479
Speaker 5: Very very very much.

1582
01:17:55,479 --> 01:17:59,120
Speaker 2: So yes, yeah, No, it's also wrong, like we're not

1583
01:17:59,320 --> 01:18:02,720
Speaker 2: defending what was done there. Yeah, I know, this is

1584
01:18:02,920 --> 01:18:06,360
Speaker 2: even more blatant, right, It's like it's not defending what

1585
01:18:06,520 --> 01:18:08,920
Speaker 2: George W. Bush did in Iraq. To be like at

1586
01:18:09,000 --> 01:18:12,760
Speaker 2: least they bothered to pretend there was a justificate, like

1587
01:18:12,840 --> 01:18:16,760
Speaker 2: they spent some time really cooking up a justification and

1588
01:18:16,920 --> 01:18:19,280
Speaker 2: some effort, and there's none of that here. They just

1589
01:18:19,320 --> 01:18:22,120
Speaker 2: don't give a shit anymore. Right, That's that you're not

1590
01:18:22,360 --> 01:18:24,960
Speaker 2: being like and that means it was okay, what Bush did,

1591
01:18:25,000 --> 01:18:27,639
Speaker 2: You're just pointing out it's even more mask off now, right.

1592
01:18:28,040 --> 01:18:30,200
Speaker 3: Yeah, Well, and I think it is different than that,

1593
01:18:30,320 --> 01:18:33,760
Speaker 3: Like the invasion of a rock involved Congress. This is

1594
01:18:34,040 --> 01:18:37,679
Speaker 3: just Trump going I can do this, right, And that's

1595
01:18:38,280 --> 01:18:41,559
Speaker 3: really fucking alarming. Yeah, that he just is like, yeah,

1596
01:18:41,640 --> 01:18:43,839
Speaker 3: fuck it, I could just do a war now completely

1597
01:18:44,120 --> 01:18:46,200
Speaker 3: by myself. None of you have any fucking power war

1598
01:18:46,280 --> 01:18:48,640
Speaker 3: for me. I can just declare war a thing that

1599
01:18:48,920 --> 01:18:52,800
Speaker 3: is explicitly in the constitution, like supposed to be Congress's job.

1600
01:18:53,479 --> 01:18:57,000
Speaker 3: And I think that's really That's another very allwering part

1601
01:18:57,000 --> 01:18:59,519
Speaker 3: of this, because this is I think by far the

1602
01:18:59,680 --> 01:19:03,240
Speaker 3: most just Trump pure dictatorshit that we've seen so far.

1603
01:19:03,400 --> 01:19:06,639
Speaker 3: It's not being treated like that, yeah, because a lot

1604
01:19:06,720 --> 01:19:09,240
Speaker 3: of sort of like I don't know that there's a

1605
01:19:09,280 --> 01:19:12,439
Speaker 3: lot of people who wanted this something like this to happen,

1606
01:19:13,040 --> 01:19:15,560
Speaker 3: and so they're kind of just not looking at the

1607
01:19:15,680 --> 01:19:20,920
Speaker 3: fact that this is just this is just pure dictatorship shit.

1608
01:19:21,280 --> 01:19:23,200
Speaker 5: Yeah. I think a lot of people, because they didn't

1609
01:19:23,240 --> 01:19:26,439
Speaker 5: like Maduro, right, they're waiting to look aside from yeah,

1610
01:19:26,560 --> 01:19:28,400
Speaker 5: the means as long as they get the ends they want.

1611
01:19:28,479 --> 01:19:31,560
Speaker 2: But the means are extremely serious here. Yeah, And I

1612
01:19:32,240 --> 01:19:34,560
Speaker 2: think we should acknowledge, like, stop for a second to

1613
01:19:34,600 --> 01:19:38,880
Speaker 2: talk about the Maduro of it all, because my stance

1614
01:19:39,040 --> 01:19:44,080
Speaker 2: is that his legitimacy as president, his personal legitimacy, whether

1615
01:19:44,120 --> 01:19:46,640
Speaker 2: or not he's committed crimes, are all completely irrelevant, right.

1616
01:19:47,120 --> 01:19:49,599
Speaker 2: I have not any of my public facing statements I've

1617
01:19:49,600 --> 01:19:52,439
Speaker 2: been in the past years ago talked about how I

1618
01:19:52,520 --> 01:19:55,839
Speaker 2: wish the protests had worked to remove him from office

1619
01:19:56,280 --> 01:19:59,920
Speaker 2: within sort of like the context of Venezuelan's actually having

1620
01:20:00,080 --> 01:20:02,720
Speaker 2: their way kicking him out and replacing him with something better.

1621
01:20:03,160 --> 01:20:04,960
Speaker 2: But I have not brought up any of that in

1622
01:20:05,040 --> 01:20:09,000
Speaker 2: the context of what's happened recently because it doesn't matter, right, Like, fundamentally,

1623
01:20:09,120 --> 01:20:12,920
Speaker 2: it doesn't matter if Maduro is like completely legitimately elected

1624
01:20:12,960 --> 01:20:16,640
Speaker 2: and the people's hero or a complete fraud and an authoritarian.

1625
01:20:17,160 --> 01:20:20,000
Speaker 2: That has nothing to do with whether or not the

1626
01:20:20,160 --> 01:20:23,920
Speaker 2: US has any illegal or moral justification for coming in

1627
01:20:24,520 --> 01:20:27,759
Speaker 2: arresting this guy and then saying we own the country

1628
01:20:28,160 --> 01:20:33,719
Speaker 2: and we don't. It's dictator shit, it's fascist, it's deeply wrong.

1629
01:20:33,960 --> 01:20:36,680
Speaker 2: It's bad. Like, there's nothing else to say. If you

1630
01:20:36,800 --> 01:20:39,639
Speaker 2: find anyone getting caught in starting to be like, well,

1631
01:20:39,720 --> 01:20:42,360
Speaker 2: but you know, Maduro did this. Maduro did that. That

1632
01:20:42,560 --> 01:20:45,080
Speaker 2: is either a person who is acting in bad faith

1633
01:20:45,240 --> 01:20:48,040
Speaker 2: or a person who has themselves been tricked, right, because

1634
01:20:48,360 --> 01:20:51,120
Speaker 2: you don't need to discuss any of that. None of

1635
01:20:51,160 --> 01:20:54,040
Speaker 2: that is relevant to what we're talking about here, which

1636
01:20:54,120 --> 01:20:56,840
Speaker 2: is that the US, like this is a violation of

1637
01:20:57,320 --> 01:20:59,880
Speaker 2: international law and all of the kinds of norms that

1638
01:21:00,040 --> 01:21:02,240
Speaker 2: we attempted to put in place after World War two

1639
01:21:02,680 --> 01:21:05,120
Speaker 2: to stop another catastrophe like that from happening. And it

1640
01:21:05,240 --> 01:21:09,120
Speaker 2: is only going to embolden the worst instincts of both

1641
01:21:09,280 --> 01:21:11,519
Speaker 2: the people running the United States right now. They will

1642
01:21:11,560 --> 01:21:14,040
Speaker 2: continue to try to do shit like this, and it's

1643
01:21:14,120 --> 01:21:16,559
Speaker 2: going to embolden the worst instincts of other leaders around

1644
01:21:16,600 --> 01:21:19,360
Speaker 2: the world. It is comprehensively bad for everyone.

1645
01:21:19,920 --> 01:21:23,200
Speaker 3: The comprehensive result of this is again that the US

1646
01:21:23,880 --> 01:21:28,400
Speaker 3: has annexed I guess Venezuela that Trump is claiming that

1647
01:21:28,560 --> 01:21:33,439
Speaker 3: he personally and his Secretary of State and his council

1648
01:21:33,520 --> 01:21:38,360
Speaker 3: of advisors are like now control and run a country.

1649
01:21:38,760 --> 01:21:38,920
Speaker 4: Yep.

1650
01:21:39,560 --> 01:21:41,200
Speaker 3: This is so evil.

1651
01:21:41,439 --> 01:21:43,920
Speaker 2: Yeah, and it's very unclear who's going to be doing

1652
01:21:43,960 --> 01:21:48,160
Speaker 2: Because Trump made those that statement, Rubio walked it back

1653
01:21:48,280 --> 01:21:50,400
Speaker 2: a little bit and said that, like, well, we'll be

1654
01:21:50,479 --> 01:21:54,439
Speaker 2: working with the administration in place, which is, by the way,

1655
01:21:54,640 --> 01:21:57,320
Speaker 2: just the same administration that existed before, merely with the

1656
01:21:57,400 --> 01:21:59,080
Speaker 2: vice president taking on the role of president.

1657
01:21:59,280 --> 01:22:00,800
Speaker 5: Yeah, a little bit.

1658
01:22:01,000 --> 01:22:04,320
Speaker 2: Yeah, after that backtracked a little bit too, to try

1659
01:22:04,360 --> 01:22:06,840
Speaker 2: and be more in line with the Boss. But it's

1660
01:22:07,000 --> 01:22:11,599
Speaker 2: very unclear what they actually intend and what they mean

1661
01:22:11,800 --> 01:22:15,080
Speaker 2: by saying we're running it, because from what I've read,

1662
01:22:15,640 --> 01:22:18,599
Speaker 2: it doesn't look like Rubio is actually going to be mannered.

1663
01:22:18,640 --> 01:22:21,160
Speaker 2: Like while he's been the guy taking point on justifying this,

1664
01:22:21,360 --> 01:22:23,479
Speaker 2: I don't think he's going to actually be managing any

1665
01:22:23,520 --> 01:22:25,720
Speaker 2: of this on a day to day basis. He's got

1666
01:22:25,760 --> 01:22:29,120
Speaker 2: a lot on his plate already. Stephen Miller seems to

1667
01:22:29,200 --> 01:22:31,439
Speaker 2: be the guy who is trying to position himself to

1668
01:22:31,760 --> 01:22:36,040
Speaker 2: actually be the Paul Brimmer in this situation. Who is

1669
01:22:36,080 --> 01:22:38,320
Speaker 2: the guy that the Bush administration put in charge of

1670
01:22:38,800 --> 01:22:41,160
Speaker 2: dealing with of like running a rack after it was

1671
01:22:41,240 --> 01:22:41,680
Speaker 2: taken over.

1672
01:22:41,880 --> 01:22:42,800
Speaker 3: Yeah, the viceroy.

1673
01:22:43,120 --> 01:22:43,360
Speaker 5: Yeah.

1674
01:22:43,920 --> 01:22:49,320
Speaker 2: And it's unclear what is Miller going to get that job?

1675
01:22:49,680 --> 01:22:53,080
Speaker 2: Will Rubio wind up doing it. It's looking more like

1676
01:22:53,240 --> 01:22:55,519
Speaker 2: Miller right now. But also to what extent will that

1677
01:22:55,680 --> 01:22:59,519
Speaker 2: job actually be running things? And you know, we'll talk

1678
01:22:59,560 --> 01:23:02,280
Speaker 2: about that and a little bit, I'm sure. But the

1679
01:23:03,120 --> 01:23:05,880
Speaker 2: kind of cliffs notes of the situation is that there

1680
01:23:06,000 --> 01:23:10,080
Speaker 2: is evidence that came out right after the kidnapping that

1681
01:23:10,439 --> 01:23:15,760
Speaker 2: Baduro's vice president had reached out to the United States previously,

1682
01:23:16,240 --> 01:23:20,000
Speaker 2: like before the kidnapping, to talk about the possibility of

1683
01:23:20,479 --> 01:23:24,280
Speaker 2: taking over the country after giving Maduro up or him

1684
01:23:24,680 --> 01:23:28,000
Speaker 2: having a managed exile. All of that was discussed, and

1685
01:23:28,520 --> 01:23:31,200
Speaker 2: at least per the reporting on it, she was turned

1686
01:23:31,280 --> 01:23:34,320
Speaker 2: down by the United States because they thought they had

1687
01:23:34,360 --> 01:23:38,760
Speaker 2: a better option, and that option seems to have fallen through,

1688
01:23:39,040 --> 01:23:43,760
Speaker 2: largely because the quote unquote democratically elected opposition leader who

1689
01:23:43,840 --> 01:23:47,120
Speaker 2: won a Nobel prize pissed off Trump. It's unclear how

1690
01:23:47,200 --> 01:23:50,000
Speaker 2: accurate that is that by you know, by winning the price,

1691
01:23:50,280 --> 01:23:54,000
Speaker 2: by accepting the Nobel Prize, did she get kick herself

1692
01:23:54,040 --> 01:23:57,160
Speaker 2: out of the job. That's what some reporting has suggested.

1693
01:23:57,400 --> 01:24:01,320
Speaker 2: It's unclear to me how true that actually is. Seems possible, surely,

1694
01:24:01,800 --> 01:24:03,960
Speaker 2: but at the end of the day, there was this

1695
01:24:04,080 --> 01:24:06,840
Speaker 2: offer made by Maduro's VP that was turned down by

1696
01:24:06,880 --> 01:24:09,800
Speaker 2: the US, and now it seems like, although we don't

1697
01:24:09,800 --> 01:24:12,320
Speaker 2: actually know what's happened to the background, it seems like

1698
01:24:12,920 --> 01:24:15,760
Speaker 2: she's who we're working with. So either they came back

1699
01:24:15,840 --> 01:24:18,120
Speaker 2: and said, you know, it will take the deal, or

1700
01:24:18,840 --> 01:24:22,920
Speaker 2: something else is going on. But she has both made

1701
01:24:23,000 --> 01:24:26,360
Speaker 2: the statements publicly that like, this is illegal, the United

1702
01:24:26,400 --> 01:24:30,520
Speaker 2: States is run by a group of criminals and extremists,

1703
01:24:30,960 --> 01:24:31,640
Speaker 2: and also but.

1704
01:24:31,680 --> 01:24:32,439
Speaker 3: We'll work with them.

1705
01:24:32,880 --> 01:24:35,400
Speaker 2: So it does kind of seem to me like she made,

1706
01:24:35,520 --> 01:24:37,120
Speaker 2: in fact, be very much in bed with the Trump

1707
01:24:37,160 --> 01:24:42,240
Speaker 2: administration and just trying to like massage this for her public,

1708
01:24:42,560 --> 01:24:45,120
Speaker 2: you know, because there's only so much you can get

1709
01:24:45,160 --> 01:24:46,360
Speaker 2: away with. I don't know.

1710
01:24:46,640 --> 01:24:49,240
Speaker 5: Yeah, just to be clear on the timeline, Robert, Yeah,

1711
01:24:49,760 --> 01:24:53,639
Speaker 5: the first reporting of that, like Rodriguez option, we want

1712
01:24:53,640 --> 01:24:56,400
Speaker 5: to call it out a yeah, they call it as well,

1713
01:24:56,840 --> 01:25:02,400
Speaker 5: was in October. That was out before or the strike happened, right,

1714
01:25:02,520 --> 01:25:06,040
Speaker 5: and at least in the Miami Herald's story. They suggested

1715
01:25:06,080 --> 01:25:09,040
Speaker 5: that he had been part of that, so this could

1716
01:25:09,040 --> 01:25:11,000
Speaker 5: be a different thing, but that he had offered to

1717
01:25:11,000 --> 01:25:13,040
Speaker 5: step down over years, right.

1718
01:25:13,640 --> 01:25:15,160
Speaker 2: Yeah, so to say, it looked like there was a

1719
01:25:15,160 --> 01:25:17,200
Speaker 2: period of time where he was talking about like a

1720
01:25:17,320 --> 01:25:20,759
Speaker 2: managed exit. Yeah, I been going to Kato or Turkey

1721
01:25:20,960 --> 01:25:21,560
Speaker 2: or something like that.

1722
01:25:22,000 --> 01:25:22,200
Speaker 4: Yeah.

1723
01:25:22,640 --> 01:25:26,000
Speaker 2: Now Rodriguez US of course denied that. But what would

1724
01:25:26,000 --> 01:25:29,720
Speaker 2: you expect Dlsey Rodriguez And yeah, it's unclear. Again, we

1725
01:25:29,760 --> 01:25:33,120
Speaker 2: don't really know. Did they just remove Maduro without having

1726
01:25:33,200 --> 01:25:36,200
Speaker 2: a plan and hadn't really finished talking with her or

1727
01:25:36,240 --> 01:25:38,120
Speaker 2: worked something out. It was the last thing that she

1728
01:25:38,320 --> 01:25:41,120
Speaker 2: heard from them, them saying nah, we won't take this option, right,

1729
01:25:41,240 --> 01:25:43,920
Speaker 2: and then Maduro gets kidnapped. Did they work out a

1730
01:25:44,000 --> 01:25:46,120
Speaker 2: separate deal that just hasn't been reported on. We actually

1731
01:25:46,240 --> 01:25:49,880
Speaker 2: don't know. And I could totally see her being a

1732
01:25:50,000 --> 01:25:53,800
Speaker 2: stooge for US action here because it keeps her in

1733
01:25:53,960 --> 01:25:57,559
Speaker 2: power and it keeps her safe because Trump very recently

1734
01:25:57,640 --> 01:26:00,599
Speaker 2: threatened her, like after she made statements calling his team

1735
01:26:00,640 --> 01:26:03,200
Speaker 2: a bunch of extremists, she backpedaled and said, actually, if

1736
01:26:03,240 --> 01:26:05,280
Speaker 2: we're where, well in to work with the US because

1737
01:26:05,320 --> 01:26:07,000
Speaker 2: Trump said I'll do something worse to you than I

1738
01:26:07,080 --> 01:26:10,000
Speaker 2: did to him. Like, we don't know if they actually

1739
01:26:10,200 --> 01:26:15,360
Speaker 2: ironed out a set of responsibilities and obligations in bath channels,

1740
01:26:15,560 --> 01:26:18,120
Speaker 2: or if we just remove a duro and are like,

1741
01:26:18,160 --> 01:26:19,599
Speaker 2: all right, well, if we have to kill her, we'll

1742
01:26:19,680 --> 01:26:22,280
Speaker 2: kill her too. Like it's unclear what actually happened there.

1743
01:26:22,840 --> 01:26:25,600
Speaker 3: Yeah, yeah, so we should also mention So this is

1744
01:26:25,680 --> 01:26:29,120
Speaker 3: being recorded on the night of Monday, January fifth. You're right,

1745
01:26:29,400 --> 01:26:33,320
Speaker 3: every kind of six or eight hours, new conflicting information

1746
01:26:33,360 --> 01:26:37,040
Speaker 3: from the Trump administration about what their plan is comes out, right,

1747
01:26:37,520 --> 01:26:40,160
Speaker 3: which which leads me to suspect they don't have a

1748
01:26:40,200 --> 01:26:44,320
Speaker 3: plan at all. Yeah, because it keeps changing every couple

1749
01:26:44,400 --> 01:26:48,280
Speaker 3: of hours. So I don't know. But but in case,

1750
01:26:48,360 --> 01:26:50,720
Speaker 3: by the time this comes out, there is some kind

1751
01:26:50,800 --> 01:26:54,400
Speaker 3: of public deal that's been worked out. That's what's going on.

1752
01:26:54,560 --> 01:26:56,439
Speaker 3: This is all changing extremely rapidly.

1753
01:26:57,000 --> 01:27:01,000
Speaker 2: Yeah, right, And you know what else changes rapidly, The

1754
01:27:01,120 --> 01:27:15,360
Speaker 2: economics of podcasting. Yeah, here's some of that. This white

1755
01:27:15,400 --> 01:27:19,479
Speaker 2: coase working foul, and we're back. James is drinking a

1756
01:27:19,640 --> 01:27:22,920
Speaker 2: bad white claw, which is really I think the information

1757
01:27:23,040 --> 01:27:26,760
Speaker 2: our audience is most interested in, you know, invasions of Venezuela,

1758
01:27:26,920 --> 01:27:29,720
Speaker 2: come and go. The US kidnaps people all the time.

1759
01:27:30,320 --> 01:27:32,800
Speaker 2: But James drinking a bad white claw. Let's let's let's

1760
01:27:32,880 --> 01:27:36,120
Speaker 2: actually really check it, James, what's the flavor you're you're

1761
01:27:36,240 --> 01:27:37,280
Speaker 2: experiencing right now?

1762
01:27:37,360 --> 01:27:40,000
Speaker 5: Let me getting updated to that. That is green apple?

1763
01:27:40,360 --> 01:27:45,240
Speaker 2: Green apple? M oh boy, Yeah, yeah, it's it's foul.

1764
01:27:45,280 --> 01:27:47,759
Speaker 5: I wouldn't recommend it. You're in the market.

1765
01:27:47,920 --> 01:27:51,720
Speaker 2: Yeah, that sounds awful. Don't do it to you. So, yeah,

1766
01:27:51,880 --> 01:27:55,559
Speaker 2: it's really the having Delta Force kidnap you from your

1767
01:27:55,600 --> 01:27:57,080
Speaker 2: house of beverages.

1768
01:27:56,800 --> 01:27:59,720
Speaker 5: Which yeah, absolutely, uh huh, that's how they market it.

1769
01:27:59,720 --> 01:28:03,120
Speaker 2: Actually weird. That's on the can right right. They must

1770
01:28:03,120 --> 01:28:06,320
Speaker 2: have got advance warning like the time. Yeah, what did

1771
01:28:06,360 --> 01:28:07,720
Speaker 2: they know and when did they know it?

1772
01:28:08,080 --> 01:28:08,640
Speaker 5: We'll never know.

1773
01:28:11,400 --> 01:28:14,720
Speaker 2: So let's keep talking about Venezuela. Yeah, we should talk

1774
01:28:14,720 --> 01:28:20,040
Speaker 2: about who Rodriguezez. Yeah, so Vegez was vice president. Now

1775
01:28:20,320 --> 01:28:22,479
Speaker 2: she is president or will be sworn in as president.

1776
01:28:22,520 --> 01:28:24,519
Speaker 2: I believe she may have already been sworn hi by

1777
01:28:24,520 --> 01:28:27,080
Speaker 2: the time you hear this. She was sworn in I

1778
01:28:27,160 --> 01:28:29,320
Speaker 2: think like a couple hours ago. For the last article

1779
01:28:29,360 --> 01:28:29,599
Speaker 2: I read.

1780
01:28:29,760 --> 01:28:33,280
Speaker 5: So her father was a Marxist Gorilla. Her father kidnapped

1781
01:28:33,280 --> 01:28:37,040
Speaker 5: an American businessman, was arrested and then murdered, like torture

1782
01:28:37,080 --> 01:28:39,839
Speaker 5: to death. Yeah, as part of the quote unquote investigation

1783
01:28:39,920 --> 01:28:42,280
Speaker 5: into that. Right, her and her brother are kind of

1784
01:28:42,400 --> 01:28:47,000
Speaker 5: like a power block in Venezuelan politic She has really

1785
01:28:47,040 --> 01:28:50,200
Speaker 5: become more relevant, I guess nationally since my daughter, like

1786
01:28:50,320 --> 01:28:53,600
Speaker 5: she did do some stuff with Chavis early on, but

1787
01:28:53,720 --> 01:28:57,439
Speaker 5: like clash with him personally, and I guess allegedly, I

1788
01:28:57,520 --> 01:29:00,920
Speaker 5: mean I wasn't there, but Chavez didn't like that she

1789
01:29:01,080 --> 01:29:03,720
Speaker 5: wasn't deferential to him and at one point sent her

1790
01:29:03,800 --> 01:29:05,280
Speaker 5: home from her but I think they were in Russia

1791
01:29:05,320 --> 01:29:07,439
Speaker 5: and he sent her home from a a sort of

1792
01:29:07,560 --> 01:29:10,800
Speaker 5: mission that they were doing their diplomatic mission. Since then,

1793
01:29:11,360 --> 01:29:14,360
Speaker 5: she is assuming a number of roles in Venezuelan government

1794
01:29:14,680 --> 01:29:17,280
Speaker 5: from since twenty thirteen right when Mondora came to power,

1795
01:29:17,920 --> 01:29:21,599
Speaker 5: to include overseeing intelligence at some time, and she has

1796
01:29:21,720 --> 01:29:25,760
Speaker 5: now become obviously president. Right, she has previously worked with

1797
01:29:25,880 --> 01:29:28,800
Speaker 5: like the Venezuelan I guess the analogy would be like

1798
01:29:28,920 --> 01:29:32,600
Speaker 5: Chamber of Commerce, which had previously been seen by like

1799
01:29:32,800 --> 01:29:35,599
Speaker 5: Chubby Small as like a bourgeois enter die the enemy. Right,

1800
01:29:35,840 --> 01:29:39,040
Speaker 5: She has shown willingness to work with business, So I

1801
01:29:39,080 --> 01:29:43,080
Speaker 5: do wonder if that factors into the US analysis, Like,

1802
01:29:43,720 --> 01:29:45,880
Speaker 5: if she's willing to work with what it looks like

1803
01:29:45,920 --> 01:29:47,800
Speaker 5: the oil companies that they want her to work with,

1804
01:29:48,040 --> 01:29:50,599
Speaker 5: then then they can overlook a whole lot of other stuff, right,

1805
01:29:50,760 --> 01:29:54,200
Speaker 5: which has historically been how the US has approached places

1806
01:29:54,240 --> 01:29:57,040
Speaker 5: with oil. But yeah, in terms of this, I think

1807
01:29:57,080 --> 01:30:01,400
Speaker 5: that's probably the sort of TLDR on her career. And

1808
01:30:01,479 --> 01:30:04,840
Speaker 5: I think it is possible that she's willing to do

1809
01:30:05,160 --> 01:30:08,000
Speaker 5: some kind of chovies, more light, you know, whatever, we're

1810
01:30:08,000 --> 01:30:12,679
Speaker 5: going to call this and have us extractive capitalism exists

1811
01:30:12,720 --> 01:30:16,360
Speaker 5: so long as the regime continues to exist. But the

1812
01:30:16,560 --> 01:30:18,560
Speaker 5: way that would work is still something that like, I

1813
01:30:18,640 --> 01:30:22,439
Speaker 5: can't really get my head around for a regime which

1814
01:30:22,439 --> 01:30:25,800
Speaker 5: has made so much of its rhetorical legitimacy for so

1815
01:30:26,040 --> 01:30:28,560
Speaker 5: long attacking the United States.

1816
01:30:28,800 --> 01:30:32,680
Speaker 2: Right right, Yeah, And that's kind of I mean, that

1817
01:30:32,800 --> 01:30:36,400
Speaker 2: seems to be the quandary Delsea finds herself in is

1818
01:30:37,200 --> 01:30:41,439
Speaker 2: she both has to refer to what's happened accurately as

1819
01:30:41,560 --> 01:30:46,719
Speaker 2: kidnapping and the actions of an illegitimate and deeply corrupt regime,

1820
01:30:47,360 --> 01:30:51,000
Speaker 2: and also she can't act that way. If what we

1821
01:30:51,120 --> 01:30:55,160
Speaker 2: all think is accurate, she's basically acting as a negotiated

1822
01:30:55,200 --> 01:30:58,599
Speaker 2: buppet of the United States. She can only go so far,

1823
01:30:58,960 --> 01:31:02,120
Speaker 2: and I feel like she's trapped in kind of a

1824
01:31:02,320 --> 01:31:06,240
Speaker 2: doomed situation, which may be part of what our administration

1825
01:31:06,400 --> 01:31:11,160
Speaker 2: intends is for her to be fundamentally doomed and fail

1826
01:31:11,400 --> 01:31:16,679
Speaker 2: and get cooed herself, or you know, we can replace

1827
01:31:16,760 --> 01:31:20,240
Speaker 2: her when there's protests against legitimacy. Like, I don't know

1828
01:31:20,320 --> 01:31:23,280
Speaker 2: what exactly the game is here, but I think that

1829
01:31:23,520 --> 01:31:26,800
Speaker 2: may be something that was baked into the equation that like,

1830
01:31:27,160 --> 01:31:32,120
Speaker 2: this is not a functional situation for her, and when

1831
01:31:32,240 --> 01:31:36,400
Speaker 2: she gets forced out, that's something we can take advantage of.

1832
01:31:37,400 --> 01:31:39,479
Speaker 5: Yeah, has the reason of analysis, I think, I mean

1833
01:31:39,520 --> 01:31:42,840
Speaker 5: we Yeah, we could talk about the oil, right because

1834
01:31:42,880 --> 01:31:44,200
Speaker 5: Trump has been talking about the.

1835
01:31:44,240 --> 01:31:47,960
Speaker 2: Oil right yeah yeah, yeah, oh yeah, yeah, I know you.

1836
01:31:48,000 --> 01:31:50,519
Speaker 5: Said you wanted to mention stuff about It's not what

1837
01:31:50,760 --> 01:31:52,880
Speaker 5: it might seem on the face of it, right, There

1838
01:31:52,880 --> 01:31:54,599
Speaker 5: aren't giant lakes of oil in Venezuela.

1839
01:31:54,680 --> 01:31:56,000
Speaker 2: You can just slop up and sell.

1840
01:31:57,000 --> 01:32:00,920
Speaker 3: Yeah, So okay, it's sort of different to explain this

1841
01:32:01,040 --> 01:32:03,960
Speaker 3: all without really getting into the weeds of like how

1842
01:32:04,040 --> 01:32:08,519
Speaker 3: oil production works, but there's different like qualities of crude oil.

1843
01:32:09,160 --> 01:32:13,639
Speaker 3: And most of the Venezuelan stuff is extremely sour. It's

1844
01:32:14,080 --> 01:32:18,280
Speaker 3: really really shit. It's extremely low quality. And when you

1845
01:32:18,360 --> 01:32:23,120
Speaker 3: have oil that's this shit, you can't like refine it

1846
01:32:23,320 --> 01:32:26,240
Speaker 3: into being good, right like that. That's just like not

1847
01:32:26,320 --> 01:32:28,840
Speaker 3: how the process works. It just sucks and so it

1848
01:32:28,920 --> 01:32:32,280
Speaker 3: burns badly. But there is a lot of it. And

1849
01:32:33,360 --> 01:32:35,960
Speaker 3: this also gets back to Okay, so the way that

1850
01:32:36,040 --> 01:32:38,080
Speaker 3: Trump thinks this is going to work is that a

1851
01:32:38,120 --> 01:32:39,840
Speaker 3: bunch of oil companies are going to come in, They're

1852
01:32:39,840 --> 01:32:42,200
Speaker 3: going to do a bunch of like infrastructure development or whatever.

1853
01:32:42,240 --> 01:32:43,640
Speaker 3: They're going to sell the oil and they're going to

1854
01:32:43,680 --> 01:32:46,880
Speaker 3: make one hundred billion dollars. That's not really how this works,

1855
01:32:47,560 --> 01:32:49,599
Speaker 3: as it is something that James has pointed out too.

1856
01:32:49,720 --> 01:32:53,719
Speaker 3: But like the actual value here is less from actually

1857
01:32:53,920 --> 01:32:58,320
Speaker 3: extracting the oil and more from a having all of

1858
01:32:58,360 --> 01:33:02,880
Speaker 3: these oil deposits on your balance and b there's a

1859
01:33:03,040 --> 01:33:07,200
Speaker 3: lot of value in just having power over it.

1860
01:33:07,640 --> 01:33:07,880
Speaker 2: Yeah.

1861
01:33:08,360 --> 01:33:12,240
Speaker 3: So okay, So oil prices are kind of they're set

1862
01:33:12,280 --> 01:33:14,880
Speaker 3: by a few things, Like the price of oil is

1863
01:33:15,080 --> 01:33:17,200
Speaker 3: set by the bottom of the market right. Part of

1864
01:33:17,240 --> 01:33:20,000
Speaker 3: your profit comes from how much more cheaply can you

1865
01:33:20,320 --> 01:33:24,120
Speaker 3: refine and extract your oil relative to whoever's doing it

1866
01:33:24,240 --> 01:33:26,560
Speaker 3: the most expensively, like whoever's doing the shittiest job of it.

1867
01:33:27,200 --> 01:33:28,679
Speaker 3: But that a lot of it also is just power.

1868
01:33:28,920 --> 01:33:32,000
Speaker 3: That's what OPEC is, right, And OPEC's ability to raise

1869
01:33:32,040 --> 01:33:34,640
Speaker 3: oil prices has to do with its ability to have

1870
01:33:34,880 --> 01:33:38,160
Speaker 3: all of their member states controlling their oil and controlling

1871
01:33:38,240 --> 01:33:41,720
Speaker 3: the sort of flow and distribution of it. Redistributing who

1872
01:33:41,960 --> 01:33:45,559
Speaker 3: is in power into OPEC is actually a massive deal.

1873
01:33:45,880 --> 01:33:50,280
Speaker 3: Even if the actual oil here isn't very good, the

1874
01:33:50,560 --> 01:33:56,439
Speaker 3: power over the oil is extremely important. So this doesn't

1875
01:33:56,640 --> 01:33:58,960
Speaker 3: work in the way that Trump wants it to work,

1876
01:33:59,080 --> 01:34:02,320
Speaker 3: which is like, you know, you take the oil wells

1877
01:34:02,400 --> 01:34:04,040
Speaker 3: and you pump the oil out of the ground and

1878
01:34:04,120 --> 01:34:09,120
Speaker 3: suddenly you have money. But it is good for the

1879
01:34:09,240 --> 01:34:11,160
Speaker 3: oil companies that would take over the oil.

1880
01:34:11,479 --> 01:34:15,519
Speaker 5: Yeah, he consistently confuses stock price for like the economy

1881
01:34:15,840 --> 01:34:18,200
Speaker 5: slash it, business success slash other things.

1882
01:34:18,360 --> 01:34:18,479
Speaker 9: Right.

1883
01:34:18,880 --> 01:34:20,880
Speaker 3: Yeah, I guess one way to think about it is

1884
01:34:20,920 --> 01:34:22,920
Speaker 3: that like taking control of this oil, you're not really

1885
01:34:23,000 --> 01:34:24,800
Speaker 3: making the money off of this oil. You're making the

1886
01:34:24,840 --> 01:34:27,080
Speaker 3: money off of the impact controlling this oil has on

1887
01:34:27,200 --> 01:34:28,479
Speaker 3: the rest of the oil you produce.

1888
01:34:29,080 --> 01:34:29,320
Speaker 2: Yeah.

1889
01:34:29,920 --> 01:34:33,280
Speaker 5: Maybe if you're someone who sees international relations in terms

1890
01:34:33,280 --> 01:34:35,800
Speaker 5: of great power competition, you're trying to put things in

1891
01:34:35,880 --> 01:34:38,479
Speaker 5: the Russia China bucket or the America bucket.

1892
01:34:38,680 --> 01:34:41,880
Speaker 2: Yeah, and someone who sees trade, is this like zero

1893
01:34:42,040 --> 01:34:45,760
Speaker 2: sum game where one person wins and another person loses. Yeah, yeah,

1894
01:34:45,880 --> 01:34:47,439
Speaker 2: you know, like as drop does.

1895
01:34:47,840 --> 01:34:48,000
Speaker 5: Yes.

1896
01:34:48,520 --> 01:34:51,200
Speaker 3: And also it is worth mentioning that like a lot

1897
01:34:51,280 --> 01:34:54,080
Speaker 3: of this oil goes to Cuba, Yeah, which is really

1898
01:34:54,160 --> 01:34:56,880
Speaker 3: really important for the Cuban economy, which sort of can't

1899
01:34:57,000 --> 01:35:01,240
Speaker 3: function without the stock of of Venezuela and oil. Like,

1900
01:35:01,240 --> 01:35:03,920
Speaker 3: getting access to Venezuelan oil is one of the things

1901
01:35:03,920 --> 01:35:06,879
Speaker 3: that originally pulled Cuba out of the just hideous economic

1902
01:35:06,920 --> 01:35:09,719
Speaker 3: crisis they were in in the nineties Office of Union collapsed.

1903
01:35:09,840 --> 01:35:10,080
Speaker 4: Yeah.

1904
01:35:10,520 --> 01:35:14,520
Speaker 2: So it's why thirty two it seems like a majority

1905
01:35:14,880 --> 01:35:18,080
Speaker 2: or at least half of the security forces who died

1906
01:35:18,200 --> 01:35:22,280
Speaker 2: fighting the US and this kidnapping attempt were Cuban because

1907
01:35:22,840 --> 01:35:25,320
Speaker 2: access to Venezuelan oil is an existential issue for the

1908
01:35:25,360 --> 01:35:29,120
Speaker 2: Cuban government. And it's also why Trump stated, unfortunately probably accurately,

1909
01:35:29,840 --> 01:35:32,759
Speaker 2: that they're not looking at regime change in Cuba because

1910
01:35:32,760 --> 01:35:34,600
Speaker 2: they think that the regime is going to collapse on

1911
01:35:34,640 --> 01:35:39,000
Speaker 2: its own, which it might, like this is an existential

1912
01:35:39,080 --> 01:35:41,599
Speaker 2: problem for the Cuban regime, but people.

1913
01:35:41,439 --> 01:35:43,240
Speaker 5: Who aren't aware. I spent a good amount of time

1914
01:35:43,240 --> 01:35:46,840
Speaker 5: in Caracas when I was much younger in Jeremian undergraduate

1915
01:35:46,920 --> 01:35:50,839
Speaker 5: years at university, and I remember the only medical professionals

1916
01:35:50,880 --> 01:35:53,799
Speaker 5: I ever saw because people had left right after Chinese

1917
01:35:53,840 --> 01:35:56,040
Speaker 5: mol and the only medical professionals I ever sawt were

1918
01:35:56,080 --> 01:35:59,200
Speaker 5: Cuban and Cuban doctor's roll over the world. One a

1919
01:35:59,240 --> 01:36:02,640
Speaker 5: Cub's biggest secon it is doctors. But like it was

1920
01:36:02,880 --> 01:36:05,960
Speaker 5: very clear at that time that like the two states

1921
01:36:06,000 --> 01:36:08,320
Speaker 5: were intermessed. You know that the Venezuela needs things to

1922
01:36:08,400 --> 01:36:11,200
Speaker 5: Cuba hads like those special military advisors and those doctors,

1923
01:36:11,280 --> 01:36:13,800
Speaker 5: and Cuban needs ink to Menezuela have like that oil.

1924
01:36:14,240 --> 01:36:17,360
Speaker 3: Yeah, and breaking that the way people normally see oil

1925
01:36:17,360 --> 01:36:20,920
Speaker 3: as oil is just like liquid cash, and that's not true.

1926
01:36:21,160 --> 01:36:23,840
Speaker 3: It matters the actual materiality of the oil and how

1927
01:36:23,880 --> 01:36:25,640
Speaker 3: it works in the extraction process, and what kind of

1928
01:36:25,680 --> 01:36:28,040
Speaker 3: oil is matters a lot. And this is a scenario

1929
01:36:28,200 --> 01:36:33,639
Speaker 3: where where the oil is going and who has control

1930
01:36:33,760 --> 01:36:36,479
Speaker 3: over it matters more than who's able to sell it,

1931
01:36:36,760 --> 01:36:40,360
Speaker 3: which is very weird, but is how this works. And

1932
01:36:40,479 --> 01:36:43,360
Speaker 3: Trump doesn't understand any of this. Maybe some of the

1933
01:36:43,360 --> 01:36:47,200
Speaker 3: people around him understand this, but Trump really just is

1934
01:36:47,280 --> 01:36:50,439
Speaker 3: in pure empire brain. They stole our stuff, which I

1935
01:36:50,520 --> 01:36:53,479
Speaker 3: assume someone who like wanted this told him, Oh, yeah,

1936
01:36:53,520 --> 01:36:56,400
Speaker 3: they stole a bunch of American oil and land, and

1937
01:36:56,520 --> 01:36:58,639
Speaker 3: now he's in just full empire mode.

1938
01:36:59,160 --> 01:37:01,439
Speaker 5: Yeah, I think just seeming someone has told him at

1939
01:37:01,479 --> 01:37:02,919
Speaker 5: some point they told us to offer.

1940
01:37:03,360 --> 01:37:06,639
Speaker 2: Well, yeah, and this is after the revolution. A bunch

1941
01:37:06,760 --> 01:37:10,160
Speaker 2: of what was like the property of US and foreign

1942
01:37:10,200 --> 01:37:14,840
Speaker 2: oil companies was nationalized, right because these companies had made

1943
01:37:14,880 --> 01:37:19,519
Speaker 2: deals with the corrupt previous regime and it was not

1944
01:37:19,680 --> 01:37:23,760
Speaker 2: really benefiting Venezuelans. Obviously that oil money has gone on

1945
01:37:23,960 --> 01:37:27,160
Speaker 2: to benefit the current corrupt regime and still not benefited

1946
01:37:27,320 --> 01:37:31,000
Speaker 2: Venezuelans much. But there was a period of time under

1947
01:37:31,080 --> 01:37:34,880
Speaker 2: Jabez in which like there were actual social benefits and

1948
01:37:35,160 --> 01:37:38,519
Speaker 2: a powerful state I was providing people with things, which

1949
01:37:38,600 --> 01:37:40,840
Speaker 2: is not to say it didn't have its flaws, but

1950
01:37:41,000 --> 01:37:43,160
Speaker 2: like there was a period of time in which there

1951
01:37:43,280 --> 01:37:45,840
Speaker 2: was a benefit to the average Venezuelan from the fact

1952
01:37:45,840 --> 01:37:49,639
Speaker 2: that their country was so oil rich, and nothing about

1953
01:37:49,720 --> 01:37:51,960
Speaker 2: the current situation is going to change positively for the

1954
01:37:52,000 --> 01:37:54,559
Speaker 2: average Venezuelan. The profits are going to go from being

1955
01:37:54,640 --> 01:37:58,040
Speaker 2: siphoned from one group to another, but neither of those

1956
01:37:58,080 --> 01:37:59,640
Speaker 2: groups are regular Venezuelans.

1957
01:38:00,160 --> 01:38:04,080
Speaker 5: Yeah, I think sometimes I will hear this. I have

1958
01:38:04,560 --> 01:38:08,080
Speaker 5: conservatively interviewed hundreds in not thousands of Venezuelan people in

1959
01:38:08,120 --> 01:38:10,559
Speaker 5: the last three or four years, right at the border

1960
01:38:10,600 --> 01:38:14,240
Speaker 5: in the Darien Gap in the US, remotely by telephone,

1961
01:38:14,240 --> 01:38:17,439
Speaker 5: et cetera. And like, sometimes you'll hear that like Chovers

1962
01:38:17,560 --> 01:38:19,320
Speaker 5: was trying to do something good and it got it

1963
01:38:19,400 --> 01:38:22,240
Speaker 5: went bad, or that like it was okay for a

1964
01:38:22,320 --> 01:38:26,120
Speaker 5: bit of the chothers and then the corruption got out

1965
01:38:26,120 --> 01:38:28,000
Speaker 5: of control, or even it was okay until my daughter

1966
01:38:28,080 --> 01:38:30,840
Speaker 5: took parent out. It was bad. It doesn't matter rate,

1967
01:38:30,840 --> 01:38:34,960
Speaker 5: it's bad now. But like the things that the poverty

1968
01:38:35,040 --> 01:38:38,560
Speaker 5: I hear about from Venezuelan people is grinding and it

1969
01:38:38,720 --> 01:38:41,439
Speaker 5: is so upsetting. Like I have the great fulness for

1970
01:38:41,520 --> 01:38:43,880
Speaker 5: Venezuelan people. I've made a whole podcast thing about this,

1971
01:38:45,200 --> 01:38:49,240
Speaker 5: but the difficulty they encounter in every aspect of their

1972
01:38:49,320 --> 01:38:53,600
Speaker 5: lives because of sanctions, because of corruption, because of hyperinflation,

1973
01:38:53,680 --> 01:38:56,120
Speaker 5: because of the low oil price, like a lot of things. Right,

1974
01:38:57,080 --> 01:39:01,800
Speaker 5: their lives are miserable, and this isn't going to change that.

1975
01:39:02,439 --> 01:39:04,519
Speaker 5: They're scared. Right when I speak to people in Venezuela,

1976
01:39:04,560 --> 01:39:07,640
Speaker 5: people family in Venezuela this week, since this happened, what

1977
01:39:07,720 --> 01:39:10,160
Speaker 5: are they doing. They are not contrary to what an

1978
01:39:10,160 --> 01:39:12,200
Speaker 5: AI video might have made you believe out in the

1979
01:39:12,240 --> 01:39:15,880
Speaker 5: streets celebrating. Now, they're trying to get enough food to

1980
01:39:15,960 --> 01:39:17,800
Speaker 5: make it through the next couple of weeks in case

1981
01:39:17,840 --> 01:39:19,519
Speaker 5: they have to hunker down in their home, right, and

1982
01:39:19,600 --> 01:39:21,280
Speaker 5: it is hard to get any food at the best

1983
01:39:21,320 --> 01:39:23,040
Speaker 5: of times for these people, in case.

1984
01:39:22,840 --> 01:39:26,479
Speaker 2: They're bombed in place, the roads are bombed, in case

1985
01:39:27,000 --> 01:39:31,160
Speaker 2: they're occupied. Like they're making preparations for being in a

1986
01:39:31,200 --> 01:39:33,240
Speaker 2: situation like Gazans have been in for much of the

1987
01:39:33,320 --> 01:39:36,400
Speaker 2: last several years. Right, Yeah, and that's not an unreasonable

1988
01:39:36,560 --> 01:39:38,760
Speaker 2: like who knows what will happen. I hope it's not that,

1989
01:39:39,000 --> 01:39:41,400
Speaker 2: but it's not an unreasonable thing to prepare for.

1990
01:39:42,080 --> 01:39:44,240
Speaker 5: No, it's not. Our friends, when Memo and Robert and

1991
01:39:44,240 --> 01:39:45,760
Speaker 5: I have been a few people in Memo, that's what

1992
01:39:45,800 --> 01:39:47,599
Speaker 5: they said they did after the coup as well, because

1993
01:39:47,600 --> 01:39:48,800
Speaker 5: they didn't know what was going to happen and they

1994
01:39:48,880 --> 01:39:51,679
Speaker 5: figured they need to be able to sit somewhere safe

1995
01:39:51,720 --> 01:39:55,280
Speaker 5: and stay there. And so, yeah, this is not a

1996
01:39:55,439 --> 01:39:58,080
Speaker 5: liberation like I sor Jared Polis of all people being like,

1997
01:39:58,160 --> 01:40:03,559
Speaker 5: oh yeah, liberation and using the word liberation generally Simon Bolivard,

1998
01:40:03,640 --> 01:40:07,280
Speaker 5: it is like the sort of bounding hero of Venezuela

1999
01:40:07,360 --> 01:40:09,519
Speaker 5: is referred to as the liberators and using that phrase

2000
01:40:09,680 --> 01:40:13,280
Speaker 5: about the extra judicial kidnapping the head of state. Right,

2001
01:40:14,160 --> 01:40:16,040
Speaker 5: you don't understand the resonance of that word in Spanish,

2002
01:40:16,080 --> 01:40:18,479
Speaker 5: that's fine, you don't speak Spanish, don't fucking use it. Yeah,

2003
01:40:18,760 --> 01:40:21,200
Speaker 5: but if you're going to use it, especially in this context,

2004
01:40:21,680 --> 01:40:25,120
Speaker 5: like it is crash in the extreme right to see that,

2005
01:40:25,120 --> 01:40:26,480
Speaker 5: actually American politician.

2006
01:40:27,400 --> 01:40:29,560
Speaker 3: So the other I think aspect of this is that,

2007
01:40:29,760 --> 01:40:31,160
Speaker 3: like you know, if you look at this in a

2008
01:40:31,240 --> 01:40:34,439
Speaker 3: historical s tale, the reason Boulevar succeeded was that, like

2009
01:40:34,560 --> 01:40:38,479
Speaker 3: the Haitian Republic gave a whole bunch of people, a

2010
01:40:38,520 --> 01:40:41,640
Speaker 3: whole bunch of weapons go liberate Latin Berica from the

2011
01:40:41,640 --> 01:40:44,680
Speaker 3: Spanish Empire. And then you know, if you look at what, like,

2012
01:40:44,760 --> 01:40:49,360
Speaker 3: what is the US's relation to the closest thing I've

2013
01:40:49,439 --> 01:40:52,320
Speaker 3: been able to I'm like racking my brain trying to

2014
01:40:52,360 --> 01:40:57,080
Speaker 3: find anything in history that looks like this that the

2015
01:40:57,200 --> 01:40:59,400
Speaker 3: US has done. And we've done a lot of bad things.

2016
01:41:00,120 --> 01:41:02,559
Speaker 3: The closest thing I can find to just we sent

2017
01:41:02,680 --> 01:41:05,920
Speaker 3: the army into kidnap a guy and deposed him was

2018
01:41:06,120 --> 01:41:09,799
Speaker 3: what we did to Aristide, who was the former leftist

2019
01:41:09,800 --> 01:41:13,920
Speaker 3: president now former leftist president of Haiti, who we did

2020
01:41:14,080 --> 01:41:17,519
Speaker 3: in fact send in special forces with Canada to just

2021
01:41:18,120 --> 01:41:20,519
Speaker 3: like sort of force onto a plane at gunpoint and

2022
01:41:20,600 --> 01:41:25,679
Speaker 3: remove from power. But also that situation was a little

2023
01:41:26,360 --> 01:41:29,559
Speaker 3: different in that at that point most of the country

2024
01:41:29,600 --> 01:41:31,439
Speaker 3: of Haiti was under the control of a bunch of

2025
01:41:31,640 --> 01:41:34,799
Speaker 3: like dust squad rubble groups, which was the us' justification.

2026
01:41:35,320 --> 01:41:38,360
Speaker 3: And this is just we just ran into a country

2027
01:41:38,400 --> 01:41:41,720
Speaker 3: and cook them. But I don't know the historical residences.

2028
01:41:41,200 --> 01:41:43,479
Speaker 2: Of that are bleak.

2029
01:41:44,040 --> 01:41:46,440
Speaker 5: Yeah, and Jesus Christ.

2030
01:41:46,240 --> 01:41:51,720
Speaker 3: Don't call it the liberation good lording of liberations.

2031
01:41:52,320 --> 01:41:56,680
Speaker 2: Yeah, let's liberate our audience from having money that they

2032
01:41:56,720 --> 01:42:10,720
Speaker 2: can spend on these products. All right, we're back. I

2033
01:42:10,760 --> 01:42:13,599
Speaker 2: guess there's a couple of things I wanted to talk about.

2034
01:42:13,920 --> 01:42:16,320
Speaker 2: One of them is I'm seeing a lot of people

2035
01:42:16,360 --> 01:42:19,639
Speaker 2: respond to this by pointing out folks like Matt Walsh

2036
01:42:20,160 --> 01:42:22,840
Speaker 2: or other guys on the right who made statements about

2037
01:42:23,320 --> 01:42:27,400
Speaker 2: Trump being a candidate for peace and all these military interventions.

2038
01:42:27,400 --> 01:42:30,160
Speaker 2: We're getting into being bad and are now celebrating what

2039
01:42:30,240 --> 01:42:33,360
Speaker 2: we're doing and openly celebrating like colonialism as a good thing.

2040
01:42:33,840 --> 01:42:37,599
Speaker 2: And I'm seeing a lot of folks trying to dunk

2041
01:42:37,760 --> 01:42:41,479
Speaker 2: on these people for being inconsistent. And I can't imagine

2042
01:42:41,520 --> 01:42:44,559
Speaker 2: a bigger waste of your time, none of these people.

2043
01:42:44,720 --> 01:42:47,800
Speaker 2: You have to get it out from the habit of

2044
01:42:47,880 --> 01:42:52,280
Speaker 2: thinking that truth matters. All that matters to these people

2045
01:42:52,520 --> 01:42:55,120
Speaker 2: is power, and they have it, and they have the guns.

2046
01:42:55,840 --> 01:42:59,000
Speaker 2: And you pointing out that they lied to get there,

2047
01:42:59,160 --> 01:43:01,960
Speaker 2: and that they're not honest, they don't care. They're rich

2048
01:43:02,200 --> 01:43:04,599
Speaker 2: and they're getting richer, and they're powerful and they're getting

2049
01:43:04,640 --> 01:43:09,960
Speaker 2: more power. None of this is about principles. It's about winning,

2050
01:43:10,560 --> 01:43:13,120
Speaker 2: and you just have to understand that if you want

2051
01:43:13,160 --> 01:43:15,880
Speaker 2: to have any hope of beating them, because pretending that

2052
01:43:15,920 --> 01:43:17,599
Speaker 2: they're playing any other game than the one that they're

2053
01:43:17,600 --> 01:43:23,879
Speaker 2: playing is really dangerous. I don't think there's any profit

2054
01:43:24,479 --> 01:43:28,679
Speaker 2: in debating these people directly or confronting them directly about

2055
01:43:28,720 --> 01:43:33,120
Speaker 2: the inconsistencies of their belief system. I do think it's

2056
01:43:33,200 --> 01:43:37,479
Speaker 2: deeply profitable to talk about the fact that they lied

2057
01:43:37,680 --> 01:43:39,880
Speaker 2: in our liars and are dragging us into another war

2058
01:43:40,400 --> 01:43:43,720
Speaker 2: two regular Americans, and the evidence suggests that this is

2059
01:43:43,840 --> 01:43:46,599
Speaker 2: incredibly unpopular in a way that the Iraq War wasn't.

2060
01:43:46,720 --> 01:43:50,040
Speaker 2: People talk a lot about how massive the anti war

2061
01:43:50,160 --> 01:43:53,160
Speaker 2: protests were and how much anti war sentiment there was,

2062
01:43:53,280 --> 01:43:57,560
Speaker 2: but a majority of Americans were broadly supportive of what

2063
01:43:57,840 --> 01:44:00,920
Speaker 2: the Bush administration did in Afghanist stand in Iraq at

2064
01:44:00,920 --> 01:44:02,640
Speaker 2: the time that they started doing it.

2065
01:44:03,160 --> 01:44:03,280
Speaker 5: Right.

2066
01:44:04,000 --> 01:44:06,800
Speaker 2: That doesn't mean that the protests weren't real. It doesn't

2067
01:44:06,840 --> 01:44:09,920
Speaker 2: mean that it's not significant that those massive protests happened,

2068
01:44:10,439 --> 01:44:13,920
Speaker 2: But most Americans were broadly supportive of what the government

2069
01:44:14,080 --> 01:44:17,759
Speaker 2: was doing. That's not the case with what we're seeing

2070
01:44:17,960 --> 01:44:20,760
Speaker 2: in regards to public opinion over what's happening in Venezuela.

2071
01:44:21,040 --> 01:44:24,400
Speaker 2: There was a two day Reuters IPSO survey that concluded Monday,

2072
01:44:24,760 --> 01:44:28,599
Speaker 2: basically immediately after was announced what you know we did

2073
01:44:28,720 --> 01:44:32,160
Speaker 2: in Venezuela and seventy two percent of Americans who responded

2074
01:44:32,200 --> 01:44:33,920
Speaker 2: said they are concerned that the US might get too

2075
01:44:33,960 --> 01:44:36,559
Speaker 2: involved in Venezuela. Only twenty five percent said that they

2076
01:44:36,640 --> 01:44:40,120
Speaker 2: don't share that concern. Ninety percent of Democrats shared that

2077
01:44:40,200 --> 01:44:42,920
Speaker 2: concern as well, seventy four percent of independence even fifty

2078
01:44:42,960 --> 01:44:46,160
Speaker 2: four percent of Republicans. Only forty five percent of Republicans

2079
01:44:46,479 --> 01:44:48,320
Speaker 2: said that they were not worried about the US getting

2080
01:44:48,320 --> 01:44:50,800
Speaker 2: overly involved in only nineteen percent of other voters. So

2081
01:44:51,800 --> 01:44:57,040
Speaker 2: this is really unpopular, historically unpopular for a military intervention.

2082
01:44:57,160 --> 01:44:59,439
Speaker 2: And the entire bet that the Trump administration is making

2083
01:44:59,560 --> 01:45:03,320
Speaker 2: is that because they're not doing what Bush did in Iraq,

2084
01:45:03,400 --> 01:45:06,439
Speaker 2: they're not knocking out the whole government and debathifying it.

2085
01:45:06,560 --> 01:45:10,479
Speaker 2: They're just kicking out one guy and basically keeping his

2086
01:45:10,560 --> 01:45:14,000
Speaker 2: regime intact. They're just making that regime swear field to

2087
01:45:14,040 --> 01:45:17,120
Speaker 2: the United States. And their bet is that this will

2088
01:45:17,200 --> 01:45:22,519
Speaker 2: work right, that the Venezuelan regime will continue to keep

2089
01:45:22,560 --> 01:45:25,519
Speaker 2: the country functioning as well as it was functioning before,

2090
01:45:25,600 --> 01:45:29,400
Speaker 2: which is not great but was not total collapse, and

2091
01:45:30,120 --> 01:45:34,120
Speaker 2: they can start extracting value. And honestly, I feel like

2092
01:45:34,280 --> 01:45:36,880
Speaker 2: that is that's a major motivation for a lot of

2093
01:45:36,920 --> 01:45:39,160
Speaker 2: people supporting Trump, for a lot of people in his

2094
01:45:39,200 --> 01:45:43,439
Speaker 2: administration who have financial interests, for obviously the oil and

2095
01:45:43,520 --> 01:45:46,160
Speaker 2: gas companies he's trying to get on board. But I

2096
01:45:46,280 --> 01:45:49,200
Speaker 2: don't think money is even Trump's pry, and this is

2097
01:45:49,360 --> 01:45:52,599
Speaker 2: maybe an unpopular opinion. I think the primarys in Trump

2098
01:45:52,720 --> 01:45:55,880
Speaker 2: is doing this is that he wants Number one, to

2099
01:45:55,960 --> 01:45:58,360
Speaker 2: show everybody, look, I did what Bush did, but it worked.

2100
01:45:58,439 --> 01:46:01,760
Speaker 2: I did it Betternumber two. He wants to show everybody, look,

2101
01:46:01,760 --> 01:46:03,880
Speaker 2: I did what Obama did and took out a big

2102
01:46:04,000 --> 01:46:04,439
Speaker 2: bad guy.

2103
01:46:04,520 --> 01:46:04,600
Speaker 1: Right.

2104
01:46:04,640 --> 01:46:06,880
Speaker 2: That's where they're trying to craft madeuro is this major

2105
01:46:07,080 --> 01:46:10,919
Speaker 2: enemy of the United States, this architect of the opiate crisis,

2106
01:46:11,040 --> 01:46:13,240
Speaker 2: this guy who's worse than beIN Laden in a lot

2107
01:46:13,280 --> 01:46:15,280
Speaker 2: of ways, because Trump is still jealous of the fact

2108
01:46:15,320 --> 01:46:18,680
Speaker 2: that Obama got to take out Ben Laden right as

2109
01:46:18,760 --> 01:46:20,680
Speaker 2: he sees it, and he wants his own version of that.

2110
01:46:21,560 --> 01:46:25,760
Speaker 2: Trump is doing this, I think primarily for vanity purposes. Right.

2111
01:46:25,880 --> 01:46:27,960
Speaker 2: I know that seems shallow and silly, but I really

2112
01:46:28,040 --> 01:46:30,160
Speaker 2: think that's most of what's going on for him. And

2113
01:46:30,320 --> 01:46:32,960
Speaker 2: I think if the end result of this is that

2114
01:46:33,000 --> 01:46:35,080
Speaker 2: things in Venezuela more or less continue, the way they

2115
01:46:35,080 --> 01:46:37,600
Speaker 2: were before. He will call it a win, and a

2116
01:46:37,640 --> 01:46:39,880
Speaker 2: lot of people might believe him, And I don't know,

2117
01:46:39,960 --> 01:46:42,400
Speaker 2: it doesn't even necessarily matter if any money actually comes

2118
01:46:42,439 --> 01:46:45,360
Speaker 2: into the United States over this. They'll just lie about it.

2119
01:46:45,520 --> 01:46:49,200
Speaker 2: You know, some individual Americans will make money, and I

2120
01:46:49,280 --> 01:46:52,360
Speaker 2: think that'll probably be enough for Trump to feel like

2121
01:46:52,439 --> 01:46:55,120
Speaker 2: he got a win and for his pr apparatus to

2122
01:46:55,920 --> 01:46:57,639
Speaker 2: notch this up as a win. And I think that's

2123
01:46:57,680 --> 01:47:00,639
Speaker 2: all he really cares about. And so I do think

2124
01:47:00,680 --> 01:47:04,240
Speaker 2: it's worth really hitting how criminal this is and how

2125
01:47:04,360 --> 01:47:07,639
Speaker 2: harmful this is. But ultimately, what's going to determine whether

2126
01:47:07,720 --> 01:47:10,280
Speaker 2: or not Americans see this as a calamity or not

2127
01:47:11,360 --> 01:47:14,840
Speaker 2: is how well this all works out in the long run.

2128
01:47:15,080 --> 01:47:18,639
Speaker 2: And that's a really tough thing to even think about,

2129
01:47:18,760 --> 01:47:22,280
Speaker 2: because you don't want it to work well, because it

2130
01:47:22,320 --> 01:47:25,960
Speaker 2: will embolden Trump to keep doing this and the global

2131
01:47:26,000 --> 01:47:28,519
Speaker 2: harm will be greater. On the other hand, I don't

2132
01:47:28,560 --> 01:47:33,400
Speaker 2: want civil life in Venezuela to collapse, right, So it's

2133
01:47:33,560 --> 01:47:37,439
Speaker 2: it's tough, yeah, right, yeah, I don't people to suffer anymore.

2134
01:47:38,000 --> 01:47:40,080
Speaker 5: I mean just around the world too. When like I

2135
01:47:40,160 --> 01:47:43,320
Speaker 5: heard men online called a meeting in Mihandmah when he

2136
01:47:43,400 --> 01:47:46,320
Speaker 5: heard about this, because he was worried, right, like, the

2137
01:47:46,520 --> 01:47:50,200
Speaker 5: paranoia of dictators is about to go through the ceiling,

2138
01:47:50,240 --> 01:47:52,800
Speaker 5: and that's going to result in people being tortured and killed.

2139
01:47:52,880 --> 01:47:54,599
Speaker 2: It's going to result in people torture, and it's going

2140
01:47:54,640 --> 01:47:58,200
Speaker 2: to result in more countries seeking to get nuclear weapons

2141
01:47:58,320 --> 01:48:01,920
Speaker 2: because they will accurately recognize that that is the only

2142
01:48:02,040 --> 01:48:08,440
Speaker 2: security anyone has. It is understated how much more dangerous

2143
01:48:08,520 --> 01:48:10,840
Speaker 2: what Bush did in Iraq made the world because of

2144
01:48:10,960 --> 01:48:13,320
Speaker 2: how it's made different leaders around the world think about

2145
01:48:13,320 --> 01:48:17,400
Speaker 2: the possession of nuclear weapons. Right Iran is fundamentally right,

2146
01:48:17,560 --> 01:48:20,320
Speaker 2: and it's calculus that getting a nuke will make the

2147
01:48:20,400 --> 01:48:23,080
Speaker 2: regime safer because it might be the only thing that

2148
01:48:23,200 --> 01:48:25,519
Speaker 2: can protect them now. Things in Iran are not looking

2149
01:48:25,640 --> 01:48:28,360
Speaker 2: very stable right now either. Again, this is another situation

2150
01:48:28,479 --> 01:48:32,240
Speaker 2: where just decades of protest and the weakness of the

2151
01:48:32,320 --> 01:48:35,439
Speaker 2: regime might wind up working in Trump's favor because things

2152
01:48:35,479 --> 01:48:38,800
Speaker 2: are looking pretty gnarly for the Iranian regime right now,

2153
01:48:39,240 --> 01:48:43,599
Speaker 2: and maybe Trump Trump has made some statements since kidnapping

2154
01:48:43,640 --> 01:48:46,720
Speaker 2: Maduro about going into Iran. They very well may do that,

2155
01:48:46,880 --> 01:48:48,160
Speaker 2: but they also may not need to.

2156
01:48:48,960 --> 01:48:51,280
Speaker 5: Yeah, there's the most sense suggesting that they at least

2157
01:48:51,360 --> 01:48:55,479
Speaker 5: have preparations in place for doing something in Iran, right,

2158
01:48:55,680 --> 01:48:57,880
Speaker 5: which may they need to do right to obviously move

2159
01:48:57,960 --> 01:49:01,679
Speaker 5: things to point towards Iran. Right, But that's an action

2160
01:49:01,880 --> 01:49:02,560
Speaker 5: in itself.

2161
01:49:02,920 --> 01:49:05,439
Speaker 2: Yeah, that really. I mean, there's a lot that worries

2162
01:49:05,520 --> 01:49:09,240
Speaker 2: me there. But I think they're going to keep fucking

2163
01:49:09,360 --> 01:49:12,000
Speaker 2: around like this as long as they feel like it

2164
01:49:12,080 --> 01:49:14,880
Speaker 2: will benefit them. And right now this feels like a

2165
01:49:14,960 --> 01:49:17,799
Speaker 2: wind to them. Yeah, so this is going to function

2166
01:49:18,040 --> 01:49:20,160
Speaker 2: like a drug. They're going to start looking for another

2167
01:49:20,320 --> 01:49:23,040
Speaker 2: hit as soon as the high from this fadse.

2168
01:49:24,040 --> 01:49:26,240
Speaker 5: Yeah, and as soon as they need a domestic distraction,

2169
01:49:26,479 --> 01:49:26,760
Speaker 5: right right.

2170
01:49:26,840 --> 01:49:29,200
Speaker 2: A lot of this stuff and the evidence we have

2171
01:49:29,280 --> 01:49:33,240
Speaker 2: so far suggests that people fucking hate this, and we'll

2172
01:49:33,360 --> 01:49:36,760
Speaker 2: probably keep hating this, But it depends on whether or

2173
01:49:36,800 --> 01:49:38,800
Speaker 2: not this all fades out and if the news is

2174
01:49:38,840 --> 01:49:41,800
Speaker 2: covered Actually maybe it worked right, which will probably be

2175
01:49:41,880 --> 01:49:45,800
Speaker 2: based on really dogshit journalism. The Washington Post did a

2176
01:49:45,880 --> 01:49:49,599
Speaker 2: preferential offed already. I think, oh good, Yeah, I'm glad

2177
01:49:49,640 --> 01:49:54,360
Speaker 2: they're helping out our democracy die in darkness. They're going

2178
01:49:54,479 --> 01:49:58,920
Speaker 2: to keep chasing this high and it will wind up

2179
01:49:59,479 --> 01:50:02,879
Speaker 2: collapse on them eventually. The question is how many countries

2180
01:50:02,960 --> 01:50:05,200
Speaker 2: will have to pay the price beforehand and how much

2181
01:50:05,240 --> 01:50:07,760
Speaker 2: worse will things get In the United States? Obviously, yeah,

2182
01:50:08,600 --> 01:50:11,080
Speaker 2: will the price be right when they lose a higher

2183
01:50:11,280 --> 01:50:14,679
Speaker 2: s F team or cash? Right when Delta Force gets

2184
01:50:14,760 --> 01:50:16,880
Speaker 2: wiped out? When we have a bunch of helicopters down,

2185
01:50:16,920 --> 01:50:19,120
Speaker 2: a bunch of Americans caption what does Trump do?

2186
01:50:19,280 --> 01:50:19,400
Speaker 4: Then?

2187
01:50:19,560 --> 01:50:22,080
Speaker 2: Do we get a panic? This is kind of where

2188
01:50:22,120 --> 01:50:24,719
Speaker 2: I see, like the potential, the scary potential for something

2189
01:50:24,760 --> 01:50:27,720
Speaker 2: like a nuclear January sixth, where like, do we get

2190
01:50:27,760 --> 01:50:31,519
Speaker 2: a panic response that leads to a horrific loss of life?

2191
01:50:32,200 --> 01:50:36,599
Speaker 2: Because Trump sees himself as being embarrassed, Oh my god,

2192
01:50:36,640 --> 01:50:38,360
Speaker 2: they killed a whole team, Like I have no option

2193
01:50:38,520 --> 01:50:40,439
Speaker 2: but to kill a shitload of people to distract from

2194
01:50:40,479 --> 01:50:43,439
Speaker 2: the fact that I failed here, Right, that that does

2195
01:50:43,560 --> 01:50:44,599
Speaker 2: really concern me too.

2196
01:50:45,080 --> 01:50:47,040
Speaker 5: Yeah, if that happens, you know there was even if

2197
01:50:47,040 --> 01:50:50,440
Speaker 5: it's no nuclear right, even it's just conventional weapons on cities.

2198
01:50:50,439 --> 01:50:53,120
Speaker 2: Right right, right? And yeah, new guy, I shouldn't even

2199
01:50:53,120 --> 01:50:54,439
Speaker 2: bring up the nuclear thing, but like.

2200
01:50:54,880 --> 01:50:58,679
Speaker 5: It does concern meus a nuclear football, right, He's.

2201
01:50:58,520 --> 01:51:00,600
Speaker 2: The one who gets right choice, all right, this is

2202
01:51:00,680 --> 01:51:02,840
Speaker 2: going to just get more of. This is going to

2203
01:51:02,920 --> 01:51:06,479
Speaker 2: become integral to his sense of like self worth that like, no,

2204
01:51:06,680 --> 01:51:08,880
Speaker 2: I did this and it worked in the Congrete era,

2205
01:51:09,120 --> 01:51:12,479
Speaker 2: And if all his guys get wiped out failing at

2206
01:51:12,520 --> 01:51:14,760
Speaker 2: one of these things, that's not going to go well

2207
01:51:14,840 --> 01:51:15,520
Speaker 2: for anybody.

2208
01:51:15,800 --> 01:51:16,280
Speaker 5: No, it's not.

2209
01:51:16,400 --> 01:51:18,519
Speaker 2: We'll have a fun couple hours on Twitter, but it's

2210
01:51:18,560 --> 01:51:20,160
Speaker 2: going to be really bad, really fast.

2211
01:51:20,360 --> 01:51:24,800
Speaker 5: Yeah. I talked very briefly about a couple of implications domestically. Sure,

2212
01:51:25,120 --> 01:51:28,519
Speaker 5: The main one is that the DOJ has already fared

2213
01:51:28,560 --> 01:51:32,080
Speaker 5: fro an extension in the case which Judge Boseberg is

2214
01:51:32,120 --> 01:51:34,200
Speaker 5: overseeing regarding the Alien Enemies Act.

2215
01:51:34,520 --> 01:51:34,680
Speaker 4: Right.

2216
01:51:35,240 --> 01:51:39,680
Speaker 5: Yeah, what this will mean for Venezuelan nationals in the

2217
01:51:39,800 --> 01:51:43,320
Speaker 5: United States, It is unlikely that this will mean something good.

2218
01:51:43,640 --> 01:51:43,760
Speaker 4: Right.

2219
01:51:44,040 --> 01:51:45,720
Speaker 5: It is unlikely that they will have a country that

2220
01:51:45,760 --> 01:51:48,080
Speaker 5: they would want to return to, and it's possible that

2221
01:51:48,200 --> 01:51:50,439
Speaker 5: it's going to be used to force them to return

2222
01:51:50,520 --> 01:51:54,520
Speaker 5: to it anyway, to a country which is extremely paranoid

2223
01:51:54,520 --> 01:51:58,200
Speaker 5: about US buys. Because someone in ma Duro's very close

2224
01:51:58,360 --> 01:52:02,479
Speaker 5: entourage leaked the high plan that Trump. Many presidents would

2225
01:52:02,479 --> 01:52:04,120
Speaker 5: not have set this to the press, but Trump did right,

2226
01:52:04,200 --> 01:52:06,600
Speaker 5: that they had the entire plans for his house, and

2227
01:52:06,720 --> 01:52:08,880
Speaker 5: that they built a replica of it to include they

2228
01:52:08,920 --> 01:52:10,599
Speaker 5: knew he had a safe room, they knew it was steel,

2229
01:52:10,600 --> 01:52:12,759
Speaker 5: and they knew they could cut into it with cutting torches.

2230
01:52:13,080 --> 01:52:17,000
Speaker 5: Someone leaked that information. That means that people coming back

2231
01:52:17,040 --> 01:52:20,040
Speaker 5: from the United States are going to be under scrutiny, right,

2232
01:52:20,880 --> 01:52:23,400
Speaker 5: and that is not good for them. And I don't

2233
01:52:23,439 --> 01:52:27,000
Speaker 5: see this regime stopping sending people back because they're not

2234
01:52:27,040 --> 01:52:29,160
Speaker 5: an alien enemy anymore. I don't. I don't see that,

2235
01:52:29,720 --> 01:52:32,599
Speaker 5: and I can see the regime if it does manage

2236
01:52:32,720 --> 01:52:35,160
Speaker 5: and saw Rodriguez at something of a puppet leaning on

2237
01:52:35,320 --> 01:52:38,760
Speaker 5: Rodriguez to accept people removed from the United States. Right.

2238
01:52:39,080 --> 01:52:43,719
Speaker 5: So that is extremely concerning, and it's not being reported

2239
01:52:43,800 --> 01:52:47,360
Speaker 5: on right because migrants are not front and center where

2240
01:52:47,400 --> 01:52:50,160
Speaker 5: a lot of American newspapers think about things. But I

2241
01:52:50,240 --> 01:52:53,040
Speaker 5: think for those people this is petrifying.

2242
01:52:53,360 --> 01:52:53,519
Speaker 1: Right.

2243
01:52:53,880 --> 01:52:55,479
Speaker 5: The country that you came through to be safe is

2244
01:52:55,520 --> 01:52:58,360
Speaker 5: no bombing the country that you came from. It's also

2245
01:52:58,400 --> 01:53:00,519
Speaker 5: trying to kick you out like you were stuck in

2246
01:53:00,560 --> 01:53:03,720
Speaker 5: the middle of this game, and you want it with

2247
01:53:03,760 --> 01:53:06,120
Speaker 5: a place to raise your kids where they might have

2248
01:53:06,479 --> 01:53:09,640
Speaker 5: a fair crack at a decent life. It's heartbreaking for

2249
01:53:09,720 --> 01:53:10,200
Speaker 5: those people.

2250
01:53:10,800 --> 01:53:13,240
Speaker 2: Yeah, and I think that's probably all we've got to

2251
01:53:13,439 --> 01:53:16,439
Speaker 2: say for now. I mean, I guess i'll address briefly

2252
01:53:16,439 --> 01:53:19,479
Speaker 2: because people have asked, do you see this as like

2253
01:53:19,640 --> 01:53:22,560
Speaker 2: an annex say an anschluss, you know, the annexation of

2254
01:53:22,720 --> 01:53:25,640
Speaker 2: Austria or of Czechoslovakia of that kind of moment, or

2255
01:53:25,760 --> 01:53:29,400
Speaker 2: is this more like the invasion of Poland? And I

2256
01:53:29,439 --> 01:53:32,759
Speaker 2: guess my answer is is its own thing. It doesn't

2257
01:53:32,800 --> 01:53:34,960
Speaker 2: directly graph on any of those other than that where

2258
01:53:34,960 --> 01:53:37,840
Speaker 2: it does very directly graph. And what is relevant in

2259
01:53:38,000 --> 01:53:42,640
Speaker 2: comparing it to is what happened to the Nazis and

2260
01:53:42,760 --> 01:53:48,800
Speaker 2: to Hitler personally. As they started seeing success taking things militarily,

2261
01:53:48,920 --> 01:53:51,840
Speaker 2: they made some big gambles that were not known. One

2262
01:53:51,880 --> 01:53:55,200
Speaker 2: thing that gets underdiscussed when talking about what Germany was

2263
01:53:55,200 --> 01:53:58,280
Speaker 2: doing in that period of time is how many military

2264
01:53:58,360 --> 01:54:02,800
Speaker 2: leaders within Germany thought that the annexation of particularly Czechoslovakia

2265
01:54:02,840 --> 01:54:05,360
Speaker 2: was a horrible idea because in a head to head fight,

2266
01:54:05,439 --> 01:54:09,040
Speaker 2: it was not clear whatsoever that the Wehrmachts could defeat

2267
01:54:09,120 --> 01:54:12,040
Speaker 2: the Czech military and their defenses. That was very much

2268
01:54:12,280 --> 01:54:16,080
Speaker 2: in debate, and a lot of Hitler's advisors thought it

2269
01:54:16,160 --> 01:54:18,200
Speaker 2: was a terrible idea because they didn't think they could win,

2270
01:54:18,640 --> 01:54:21,120
Speaker 2: and it wound up not really being a factor because

2271
01:54:21,240 --> 01:54:23,920
Speaker 2: everyone caved and nobody wanted to fight. Which is the

2272
01:54:23,920 --> 01:54:25,880
Speaker 2: problem that we're having right now, right is that nobody

2273
01:54:25,920 --> 01:54:29,439
Speaker 2: actually wants to confront these people. The Democrats are himming

2274
01:54:29,479 --> 01:54:31,880
Speaker 2: and ahio whether or not the try for impeachment again

2275
01:54:32,120 --> 01:54:36,680
Speaker 2: or you know, there's this this fear of actually directly

2276
01:54:36,760 --> 01:54:40,000
Speaker 2: confronting these people. That is part of what's emboldening them

2277
01:54:40,040 --> 01:54:42,720
Speaker 2: to keep trying shit like this. And what's very relevant

2278
01:54:42,720 --> 01:54:46,320
Speaker 2: to the Nazis is that if this works, and we're

2279
01:54:46,400 --> 01:54:49,120
Speaker 2: talking if this works not in the long run, because

2280
01:54:49,120 --> 01:54:50,680
Speaker 2: they're not going to wait twenty years to see if

2281
01:54:50,680 --> 01:54:52,320
Speaker 2: this was a good idea. They're going to wait a

2282
01:54:52,360 --> 01:54:55,200
Speaker 2: couple of weeks, you know, maybe a few months, and

2283
01:54:55,320 --> 01:54:58,400
Speaker 2: if it seems like, hey, it worked, the Venezuela's not

2284
01:54:58,640 --> 01:55:01,440
Speaker 2: fallen apart. You know, we've got we actually got what

2285
01:55:01,520 --> 01:55:03,040
Speaker 2: we think is a good pr out of it. They'll

2286
01:55:03,080 --> 01:55:06,640
Speaker 2: try again, and they'll try again. And the Nazis tried

2287
01:55:06,680 --> 01:55:09,720
Speaker 2: again and again until they started making checks that their

2288
01:55:09,760 --> 01:55:13,320
Speaker 2: asses couldn't cash right, And that is the thing that's relevant,

2289
01:55:13,360 --> 01:55:16,600
Speaker 2: because that is something all fascists have in common, is

2290
01:55:17,520 --> 01:55:20,960
Speaker 2: this confidence that gets them very far in a lot

2291
01:55:21,000 --> 01:55:24,360
Speaker 2: of ways, because if they're willing to gamble and the

2292
01:55:24,440 --> 01:55:27,920
Speaker 2: other people aren't willing to confront them or fight or

2293
01:55:28,040 --> 01:55:32,080
Speaker 2: gamble themselves, then they'll win by default. But when that

2294
01:55:32,280 --> 01:55:36,480
Speaker 2: stops and people start confronting them, the shortcomings of the

2295
01:55:36,560 --> 01:55:39,360
Speaker 2: state that they've built and of the militaries that they

2296
01:55:39,480 --> 01:55:43,880
Speaker 2: built become increasingly evident. And I do think that's the

2297
01:55:44,080 --> 01:55:46,520
Speaker 2: road that we're on. I don't know where it'll end.

2298
01:55:46,920 --> 01:55:49,160
Speaker 2: I don't know if Trump could die of a heart

2299
01:55:49,160 --> 01:55:52,080
Speaker 2: attack tomorrow, and maybe whoever takes over will be more cautious.

2300
01:55:52,520 --> 01:55:54,640
Speaker 2: I don't know what's going to happen, but I know

2301
01:55:54,760 --> 01:55:58,400
Speaker 2: that we've started down that road. Yeah, and that's not

2302
01:55:58,520 --> 01:55:59,640
Speaker 2: a good thing. Nope.

2303
01:56:00,240 --> 01:56:02,160
Speaker 5: I guess we should just say because people will be

2304
01:56:02,200 --> 01:56:05,120
Speaker 5: incredibly annoying on the internet, like saying that it is

2305
01:56:05,200 --> 01:56:07,560
Speaker 5: illegal and wrong to kidnap Madua does not mean that

2306
01:56:07,600 --> 01:56:09,960
Speaker 5: we think Maduro is great, just in the same way

2307
01:56:10,000 --> 01:56:11,680
Speaker 5: as saying the Iraq war is wrong doesn't mean we

2308
01:56:11,760 --> 01:56:15,080
Speaker 5: love Saddam Hussein like, no, the two things can be bad.

2309
01:56:15,600 --> 01:56:17,920
Speaker 2: People tell you although I should grow up. Like I

2310
01:56:17,960 --> 01:56:20,000
Speaker 2: said at the start, I don't think you have to.

2311
01:56:20,120 --> 01:56:22,480
Speaker 2: I don't think anyone owes you. And if someone is saying, like, hey,

2312
01:56:23,000 --> 01:56:25,600
Speaker 2: you have to answer for these bad things Maduro did

2313
01:56:25,680 --> 01:56:27,800
Speaker 2: when critiguing the OS for this, I think that's bullshit

2314
01:56:27,800 --> 01:56:29,160
Speaker 2: and I think you should tell them to fuck off.

2315
01:56:29,320 --> 01:56:30,800
Speaker 5: Right, It's not the issue at take Care.

2316
01:56:31,240 --> 01:56:36,760
Speaker 2: Maduro's personal qualities are irrelevant, as is always the case

2317
01:56:36,840 --> 01:56:52,879
Speaker 2: with this. What we're doing is illegal and bad. Sweet baby, Jimminy, Christmas,

2318
01:56:53,000 --> 01:56:57,360
Speaker 2: Welcome back. It could happened here. A podcast, it's normally

2319
01:56:57,440 --> 01:57:00,640
Speaker 2: about all of the sad and horrifying and violent and

2320
01:57:00,800 --> 01:57:04,520
Speaker 2: dangerous and sometimes inspiring things happening around the world. But

2321
01:57:04,680 --> 01:57:08,080
Speaker 2: this week, well, today is about something different. Today we're

2322
01:57:08,120 --> 01:57:13,200
Speaker 2: talking about CES finally, for those of you who don't

2323
01:57:13,240 --> 01:57:15,080
Speaker 2: know or who are new to the show, Every year

2324
01:57:15,400 --> 01:57:19,040
Speaker 2: in Las Vegas, Nevada, a bunch of the world's big

2325
01:57:19,160 --> 01:57:22,800
Speaker 2: tech companies come together for the Consumer Electronics Show, where

2326
01:57:22,800 --> 01:57:25,960
Speaker 2: they present their visions for the future, the new products

2327
01:57:26,000 --> 01:57:28,000
Speaker 2: that will be coming out that year and stuff that

2328
01:57:28,040 --> 01:57:30,280
Speaker 2: will be coming out and used to come that's less developed,

2329
01:57:30,760 --> 01:57:34,200
Speaker 2: and the whole industry talks about itself, and Garrison and

2330
01:57:34,280 --> 01:57:38,040
Speaker 2: I show up and largely just kind of let it

2331
01:57:38,360 --> 01:57:44,160
Speaker 2: wash over us like a warming tide of lukewarm garbage water,

2332
01:57:44,520 --> 01:57:48,080
Speaker 2: you know, fairy lukewarm us very lukewarm, and it smells

2333
01:57:48,240 --> 01:57:51,680
Speaker 2: like someone did not clean their fridge out often enough

2334
01:57:51,800 --> 01:57:53,320
Speaker 2: before putting it into the trash.

2335
01:57:53,440 --> 01:57:58,080
Speaker 4: That was the feeling at Showstoppers tonight. The media only

2336
01:57:59,000 --> 01:58:01,280
Speaker 4: presentation on the its products of CEES.

2337
01:58:01,480 --> 01:58:03,080
Speaker 2: Yeah, yeah, why don't we start?

2338
01:58:03,200 --> 01:58:03,240
Speaker 5: So?

2339
01:58:03,320 --> 01:58:05,800
Speaker 2: I mean, there's two different things that are interesting about

2340
01:58:05,840 --> 01:58:09,040
Speaker 2: cees broadly. One of them is people bring gadgets that

2341
01:58:09,120 --> 01:58:11,080
Speaker 2: are not out yet that it will be coming out

2342
01:58:11,160 --> 01:58:13,640
Speaker 2: this year or coming out soon, and you can actually

2343
01:58:13,720 --> 01:58:17,520
Speaker 2: test them and use them and see how technology is progressing.

2344
01:58:17,600 --> 01:58:20,320
Speaker 2: And that can be kind of fun. The downside of

2345
01:58:20,360 --> 01:58:24,040
Speaker 2: that is that people also bring gadgets that are crap. Right,

2346
01:58:24,280 --> 01:58:26,080
Speaker 2: some guy has a vision for a way to like,

2347
01:58:26,720 --> 01:58:29,480
Speaker 2: you know, there's not a good way for blind people

2348
01:58:29,600 --> 01:58:33,000
Speaker 2: to use the pogo stick while watching Netflix, and so

2349
01:58:33,160 --> 01:58:35,680
Speaker 2: I have created this product, right, Or like there's not

2350
01:58:35,800 --> 01:58:38,960
Speaker 2: a good way for children to test their blood alcohol

2351
01:58:39,080 --> 01:58:41,720
Speaker 2: level before getting behind the wheel of a Jeep Grand Cherokee,

2352
01:58:41,800 --> 01:58:43,920
Speaker 2: and I have invented the device to make it about

2353
01:58:44,000 --> 01:58:48,400
Speaker 2: things that like have no no conceivable audience or utilization. Right,

2354
01:58:48,680 --> 01:58:51,120
Speaker 2: that's the other side of the gadget part of CEES.

2355
01:58:51,200 --> 01:58:53,040
Speaker 2: And then outside of that you get a hint at

2356
01:58:53,160 --> 01:58:55,480
Speaker 2: like there's all these panels where people from the industry

2357
01:58:55,520 --> 01:58:57,960
Speaker 2: come to talk about the major trends in technology, how

2358
01:58:58,000 --> 01:59:00,280
Speaker 2: things are developing, and what they see as the few future.

2359
01:59:00,360 --> 01:59:03,040
Speaker 2: And so there's both here's what they're going to try

2360
01:59:03,080 --> 01:59:05,240
Speaker 2: to sell us, and here's the devices that might change

2361
01:59:05,240 --> 01:59:07,760
Speaker 2: the way we live. And also here's how a bunch

2362
01:59:07,840 --> 01:59:10,560
Speaker 2: of the richest, sometimes craziest people in the country you're

2363
01:59:10,600 --> 01:59:12,840
Speaker 2: talking about the future. Those are the two things that

2364
01:59:13,000 --> 01:59:16,040
Speaker 2: happen at CEES and Garrison. You wanted to talk about

2365
01:59:16,040 --> 01:59:19,840
Speaker 2: the first the gadgets. The gadgets, the gadgets one as

2366
01:59:19,880 --> 01:59:21,640
Speaker 2: you went to the Gadget show tonight. I spent my

2367
01:59:21,840 --> 01:59:22,879
Speaker 2: entire day in panels.

2368
01:59:23,400 --> 01:59:25,080
Speaker 3: Yeah, I mean I did most of the panels in

2369
01:59:25,120 --> 01:59:25,360
Speaker 3: the day.

2370
01:59:25,400 --> 01:59:26,920
Speaker 4: I didn't really got to walk to the show floor

2371
01:59:27,880 --> 01:59:30,360
Speaker 4: on the first day, which is which is Tuesday. So

2372
01:59:30,640 --> 01:59:32,960
Speaker 4: instead of doing the show floor, I went to show

2373
01:59:33,120 --> 01:59:37,440
Speaker 4: stoppers at the Bellagio, which is this presentation of Usually

2374
01:59:38,160 --> 01:59:40,880
Speaker 4: usually you know a collection of gadgets that have won

2375
01:59:41,000 --> 01:59:45,680
Speaker 4: CES Innovation Awards, which are on display for journalists and

2376
01:59:45,800 --> 01:59:48,840
Speaker 4: media you can talk to the people behind them. Showstoppers

2377
01:59:48,880 --> 01:59:50,960
Speaker 4: this year was a little different. It took place in

2378
01:59:51,720 --> 01:59:54,720
Speaker 4: like a different venue. Hall was smaller than the past

2379
01:59:54,760 --> 01:59:58,560
Speaker 4: few Showstoppers years, and I would say about forty percent

2380
01:59:58,600 --> 01:59:59,680
Speaker 4: of it with smart glasses.

2381
02:00:00,760 --> 02:00:03,840
Speaker 2: Yeah, there's usually like a big product that is like

2382
02:00:03,960 --> 02:00:05,640
Speaker 2: this product category is the hot thing.

2383
02:00:05,720 --> 02:00:08,320
Speaker 3: This year, we've tried all smart glasses.

2384
02:00:08,560 --> 02:00:10,760
Speaker 2: Every weird it is that they've always had them.

2385
02:00:10,880 --> 02:00:12,080
Speaker 3: Every year that we've.

2386
02:00:12,000 --> 02:00:14,520
Speaker 4: Been doing this, we've done smart glasses and they've always

2387
02:00:14,560 --> 02:00:17,120
Speaker 4: kind of been the same. Maybe the resolution on like

2388
02:00:17,200 --> 02:00:21,520
Speaker 4: the text better, like the glasses get a little bit smaller.

2389
02:00:21,880 --> 02:00:24,280
Speaker 4: And then this year, yeah, the glasses were generally smaller,

2390
02:00:24,360 --> 02:00:27,280
Speaker 4: but for all practical purposes function about the same. But

2391
02:00:27,360 --> 02:00:29,480
Speaker 4: there was but ten different smart glasses. Most of them

2392
02:00:29,520 --> 02:00:32,560
Speaker 4: could do some kind of like transcription service, could have

2393
02:00:32,640 --> 02:00:33,800
Speaker 4: some kind of heads up display.

2394
02:00:34,240 --> 02:00:35,520
Speaker 3: One of them was just audio only.

2395
02:00:35,600 --> 02:00:37,880
Speaker 4: It was like an audio audio transcriptions like it like

2396
02:00:37,960 --> 02:00:41,240
Speaker 4: it listens to someone else speaking in in this case Chinese,

2397
02:00:41,280 --> 02:00:44,640
Speaker 4: and it translates to me to American. Yeah, yeah, translate

2398
02:00:44,720 --> 02:00:47,960
Speaker 4: to American via sound. It had speakers. It had speakers

2399
02:00:47,960 --> 02:00:49,440
Speaker 4: and like the actual you know, like the arm of

2400
02:00:49,520 --> 02:00:52,160
Speaker 4: the glasses. Yeah, the delay was long enough that it

2401
02:00:52,240 --> 02:00:54,560
Speaker 4: was you couldn't really keep a conversation of a normal speed.

2402
02:00:54,960 --> 02:00:57,840
Speaker 4: I would be for like like the visual translations, which

2403
02:00:57,840 --> 02:00:59,720
Speaker 4: you can't actually kind of just talk in full time,

2404
02:01:00,280 --> 02:01:02,839
Speaker 4: But the audio only ones were like a smaller profile.

2405
02:01:03,400 --> 02:01:06,840
Speaker 3: The visual ones weren't necessarily bulkier, but you can definitely

2406
02:01:06,880 --> 02:01:08,480
Speaker 3: see that there's more hardware inside them.

2407
02:01:08,600 --> 02:01:08,800
Speaker 2: Yeah.

2408
02:01:09,040 --> 02:01:11,760
Speaker 4: The thing that I have seen this year which is newer, er,

2409
02:01:12,040 --> 02:01:16,240
Speaker 4: maybe not totally new, but incorporating smart glasses technology into

2410
02:01:16,360 --> 02:01:20,240
Speaker 4: other types of eyewear, so like swim goggles, ski goggles,

2411
02:01:20,720 --> 02:01:24,280
Speaker 4: like outdoor sports stuff. So if you're you know, swimming

2412
02:01:24,440 --> 02:01:28,040
Speaker 4: or you're diving and you can't really use your phone underwater,

2413
02:01:28,440 --> 02:01:30,080
Speaker 4: you have there's there's a heads up that there's a

2414
02:01:30,160 --> 02:01:32,680
Speaker 4: heads up display in like your like Scoopa goggles.

2415
02:01:33,080 --> 02:01:35,800
Speaker 3: So that that's that's a new a newish thing that

2416
02:01:35,880 --> 02:01:36,320
Speaker 3: I've seen.

2417
02:01:36,880 --> 02:01:40,680
Speaker 4: I've seen like you know, biking glasses, skiing, snowboarding, So

2418
02:01:40,880 --> 02:01:44,240
Speaker 4: that that's the kind of one one slight change, but

2419
02:01:44,600 --> 02:01:47,200
Speaker 4: besides that, it's basically five different smart glasses which are

2420
02:01:47,560 --> 02:01:50,400
Speaker 4: for all pactal purposes identical right to each other.

2421
02:01:50,760 --> 02:01:53,760
Speaker 2: Yeah, I mean, and that I think is kind of

2422
02:01:53,840 --> 02:01:56,240
Speaker 2: one of the things that I've watched happen over the

2423
02:01:57,040 --> 02:01:59,360
Speaker 2: fifteen years almost that I've been going to see ess

2424
02:01:59,640 --> 02:02:02,880
Speaker 2: or see ess, whichever is more accurate, which is you know,

2425
02:02:03,200 --> 02:02:05,640
Speaker 2: when I first started coming, the smartphone era was new,

2426
02:02:05,760 --> 02:02:07,840
Speaker 2: and then we had like the tablet era after that,

2427
02:02:08,080 --> 02:02:10,480
Speaker 2: and so there was a lot of like you would

2428
02:02:10,520 --> 02:02:13,720
Speaker 2: have dozens of manufacturers making different devices and every year

2429
02:02:13,760 --> 02:02:16,280
Speaker 2: that were very different capability. For the first few years,

2430
02:02:16,320 --> 02:02:20,200
Speaker 2: smartphones were out advanced very rapidly, and that was really exciting,

2431
02:02:20,280 --> 02:02:24,240
Speaker 2: and the conventionally thrived on that as the number of

2432
02:02:24,360 --> 02:02:27,240
Speaker 2: new device categories of winnowed down and the difference like

2433
02:02:27,360 --> 02:02:29,760
Speaker 2: I'm not excited when I get a phone anymore now

2434
02:02:29,800 --> 02:02:31,000
Speaker 2: there's anyone I know, because.

2435
02:02:30,840 --> 02:02:33,640
Speaker 3: It's like no, usually I'm actually kind of yeah more sad.

2436
02:02:33,880 --> 02:02:34,040
Speaker 5: Yeah.

2437
02:02:34,120 --> 02:02:34,280
Speaker 4: Yeah.

2438
02:02:34,360 --> 02:02:35,840
Speaker 2: The only thing that's exciting is like, well, my old

2439
02:02:35,880 --> 02:02:38,080
Speaker 2: phone was literally not working anymore. Yeah, I have the

2440
02:02:38,120 --> 02:02:38,640
Speaker 2: phone that worked.

2441
02:02:38,840 --> 02:02:40,440
Speaker 3: The battery has been completely destroyed.

2442
02:02:40,480 --> 02:02:42,280
Speaker 2: Yeah, the battery works now or whatever. But it's not

2443
02:02:42,440 --> 02:02:45,680
Speaker 2: like the cameras are not c changes better generally, nothing

2444
02:02:45,800 --> 02:02:48,440
Speaker 2: is like you're not getting a lot more out of

2445
02:02:48,520 --> 02:02:50,960
Speaker 2: it than you used to. And the same mystruy of

2446
02:02:51,000 --> 02:02:54,080
Speaker 2: like laptops, I mean, graphics cards just because of the

2447
02:02:55,080 --> 02:02:57,840
Speaker 2: data center crunch, like that's not nearly as exciting a

2448
02:02:57,920 --> 02:03:00,320
Speaker 2: technology category for consumers as it used to be. So

2449
02:03:00,880 --> 02:03:04,560
Speaker 2: this stuff is just like less less sexy, and yeah,

2450
02:03:04,920 --> 02:03:06,520
Speaker 2: it just kind of shows that we're at a point

2451
02:03:06,560 --> 02:03:08,560
Speaker 2: where kind of one of the only spaces where they

2452
02:03:08,600 --> 02:03:10,600
Speaker 2: are still making improvements and where there's a lot of

2453
02:03:10,640 --> 02:03:12,520
Speaker 2: competition in the market is smart glasses.

2454
02:03:12,760 --> 02:03:15,600
Speaker 4: Yeah, I mean that's like the wearables category in general, Yeah,

2455
02:03:15,600 --> 02:03:19,720
Speaker 4: which was mentioned. I went to the Consumer Technology Association

2456
02:03:20,400 --> 02:03:23,680
Speaker 4: keynote panel this morning, which is the group that puts

2457
02:03:23,720 --> 02:03:26,959
Speaker 4: on cees, and they mentioned only only a few products,

2458
02:03:27,040 --> 02:03:30,120
Speaker 4: but one of them we're smart glasses. And then also

2459
02:03:30,240 --> 02:03:33,960
Speaker 4: like wearables in general, like AI powered wearables and now

2460
02:03:34,000 --> 02:03:38,240
Speaker 4: like wearable technology you know, like smart watches, rings, necklaces,

2461
02:03:38,320 --> 02:03:40,720
Speaker 4: whatever are going to make like a big comeback now

2462
02:03:40,800 --> 02:03:43,600
Speaker 4: that now that AI is a lot is a lot

2463
02:03:43,680 --> 02:03:46,040
Speaker 4: more intelligent than it used to be.

2464
02:03:46,440 --> 02:03:48,040
Speaker 3: In particular at the cees.

2465
02:03:48,320 --> 02:03:51,680
Speaker 4: Like Big keynote Tuesday morning, you mentioned a persona smart

2466
02:03:51,840 --> 02:03:55,320
Speaker 4: tutor glasses glasses to help you, you know, well learning.

2467
02:03:55,840 --> 02:03:57,280
Speaker 4: I haven't tried to be able to check out the

2468
02:03:57,320 --> 02:03:59,240
Speaker 4: product yet, but they kind of remind me of some

2469
02:03:59,360 --> 02:04:02,800
Speaker 4: of the concept behind those cleuely glasses that you may

2470
02:04:02,800 --> 02:04:05,760
Speaker 4: have seen on social media, the glasses that help you,

2471
02:04:05,840 --> 02:04:06,480
Speaker 4: like cheat.

2472
02:04:07,080 --> 02:04:09,800
Speaker 2: But also somebody who's like, we should embrace people cheating

2473
02:04:09,880 --> 02:04:10,560
Speaker 2: and cheat.

2474
02:04:10,680 --> 02:04:14,200
Speaker 4: Just a conversation, it seems like that product isn't necessarily

2475
02:04:14,680 --> 02:04:17,800
Speaker 4: as real as uh what the video might make it

2476
02:04:17,880 --> 02:04:18,240
Speaker 4: out to be.

2477
02:04:18,480 --> 02:04:21,680
Speaker 2: People whose company was based on lying didn't make a

2478
02:04:21,760 --> 02:04:22,400
Speaker 2: real product.

2479
02:04:22,560 --> 02:04:25,480
Speaker 4: But well, walking through your Eureka Park today, it's funny.

2480
02:04:25,480 --> 02:04:28,400
Speaker 4: I also saw this this product in one of like

2481
02:04:28,480 --> 02:04:30,480
Speaker 4: the National Pavilions. I think it was the one of

2482
02:04:30,560 --> 02:04:34,440
Speaker 4: like the japan Tech Pavilions AI powered tool to help

2483
02:04:34,760 --> 02:04:37,240
Speaker 4: to help prevent cheating while test taking. So you have

2484
02:04:37,600 --> 02:04:40,680
Speaker 4: AI powered tools that will monitor you to make sure

2485
02:04:40,720 --> 02:04:41,400
Speaker 4: you're not cheating.

2486
02:04:41,440 --> 02:04:43,560
Speaker 3: Well, you use an AI powered tool that helps cheat

2487
02:04:43,680 --> 02:04:43,960
Speaker 3: cheat it?

2488
02:04:44,040 --> 02:04:44,240
Speaker 5: Yeah?

2489
02:04:44,760 --> 02:04:45,400
Speaker 2: Better at school?

2490
02:04:45,560 --> 02:04:48,120
Speaker 4: Yeah, that's kind of just a good representation of kind

2491
02:04:48,120 --> 02:04:50,640
Speaker 4: of where where this whole industry is at at the moment. Yeah,

2492
02:04:51,080 --> 02:04:52,800
Speaker 4: in some ways, I think, you know, this is probably

2493
02:04:52,880 --> 02:04:56,800
Speaker 4: what year three of AI being you know the big thing,

2494
02:04:56,880 --> 02:04:59,520
Speaker 4: whether that's unwearables, you know, where that's smart glasses, whether

2495
02:04:59,560 --> 02:05:02,880
Speaker 4: that's you know, a generative AI, whether that's AI. You know,

2496
02:05:03,840 --> 02:05:07,120
Speaker 4: but it's been aim but A has been like, you know,

2497
02:05:07,480 --> 02:05:11,200
Speaker 4: the additive property for for everything, and some of that

2498
02:05:11,320 --> 02:05:13,440
Speaker 4: might be starting to kind of tucker out, or at

2499
02:05:13,560 --> 02:05:18,120
Speaker 4: least the they've taken the victory lap, and there's there's

2500
02:05:18,160 --> 02:05:20,200
Speaker 4: a certain like you know, like cultural victory that that

2501
02:05:20,240 --> 02:05:22,880
Speaker 4: they're resting on. Whether they're starting to put some of

2502
02:05:22,920 --> 02:05:26,280
Speaker 4: their eggs in other baskets now, which certainly wasn't the

2503
02:05:26,320 --> 02:05:29,960
Speaker 4: case last year. No, and I got a sense I

2504
02:05:30,040 --> 02:05:33,080
Speaker 4: attended six panels today, Congratulations. It was a mix of

2505
02:05:33,200 --> 02:05:38,880
Speaker 4: like advertising people, entertainment associated people, some journalism associated people,

2506
02:05:39,560 --> 02:05:42,160
Speaker 4: and in robotics people in robotics talking about a lot

2507
02:05:42,200 --> 02:05:43,840
Speaker 4: of a lot of robodies. Yeah, what they saw was

2508
02:05:43,880 --> 02:05:45,840
Speaker 4: the future of AI, and there was a lot of

2509
02:05:46,120 --> 02:05:49,400
Speaker 4: focus first on AI is not going to be taking

2510
02:05:49,520 --> 02:05:52,520
Speaker 4: jobs as much as it's going to be augmenting jobs. Right,

2511
02:05:52,640 --> 02:05:54,680
Speaker 4: although you would get the occasional person be like it's

2512
02:05:54,720 --> 02:05:56,960
Speaker 4: going to take a lot of jobs. I got people

2513
02:05:57,040 --> 02:05:59,320
Speaker 4: saying that it's it's only going to take jobs if

2514
02:05:59,320 --> 02:06:02,520
Speaker 4: you don't know how to incorporate AI into your workfloce.

2515
02:06:02,560 --> 02:06:04,880
Speaker 4: And that's the argument at the moment right now, Yeah,

2516
02:06:05,520 --> 02:06:08,080
Speaker 4: if you're not using AI, you're a greater risk of

2517
02:06:08,720 --> 02:06:09,360
Speaker 4: you losing.

2518
02:06:09,240 --> 02:06:12,200
Speaker 2: So you better get on it right now, start learning it.

2519
02:06:12,360 --> 02:06:12,840
Speaker 5: Yes, Yes.

2520
02:06:13,120 --> 02:06:15,240
Speaker 2: And then the other thing is that there was a

2521
02:06:15,280 --> 02:06:17,480
Speaker 2: lot of like it's there to help or take away

2522
02:06:17,560 --> 02:06:20,680
Speaker 2: unpleasant tasks from workers, but really emphasizing the it's not

2523
02:06:20,840 --> 02:06:23,520
Speaker 2: your enemy thing, you don't need to be scared. And

2524
02:06:23,600 --> 02:06:27,040
Speaker 2: I had quoted like half of these panels. People would

2525
02:06:27,080 --> 02:06:30,600
Speaker 2: quote statistics about low user trust and AI and the

2526
02:06:30,680 --> 02:06:34,800
Speaker 2: fact that people are generally not super comfortable with this

2527
02:06:34,960 --> 02:06:37,440
Speaker 2: technology even if they use it in parts of their

2528
02:06:37,960 --> 02:06:40,920
Speaker 2: work life right or daily life. And so what I

2529
02:06:41,040 --> 02:06:42,760
Speaker 2: saw from that, when I interpret from that, is that

2530
02:06:42,840 --> 02:06:45,120
Speaker 2: there's internal concern that like, that's one of the things

2531
02:06:45,160 --> 02:06:47,120
Speaker 2: that can screw the pooch on this is that people

2532
02:06:47,640 --> 02:06:50,640
Speaker 2: are not really sure they like this stuff, and so

2533
02:06:50,760 --> 02:06:55,160
Speaker 2: there's this impulse to kind of cover the softer and

2534
02:06:55,240 --> 02:06:59,200
Speaker 2: fuzzier sides of it that I didn't see in previous years,

2535
02:06:59,400 --> 02:07:02,800
Speaker 2: and I think is really focusing on this is just

2536
02:07:03,000 --> 02:07:05,760
Speaker 2: making things you already like better, as opposed to this

2537
02:07:05,960 --> 02:07:08,440
Speaker 2: is a revolution that's completely changing life.

2538
02:07:09,280 --> 02:07:13,200
Speaker 4: And to the extent where AI was fremous revolutionary, it

2539
02:07:13,360 --> 02:07:17,240
Speaker 4: was specifically trying to ground it in like physical applications

2540
02:07:17,320 --> 02:07:19,760
Speaker 4: as opposed to this like more general kind of like

2541
02:07:20,000 --> 02:07:22,800
Speaker 4: spectral like AI hype that we've seen the past few years,

2542
02:07:22,800 --> 02:07:25,320
Speaker 4: which is in specifically around like generative AI right where

2543
02:07:25,360 --> 02:07:27,080
Speaker 4: it's like this like kind of vague thing that we

2544
02:07:27,240 --> 02:07:31,160
Speaker 4: like gestured to. There's more specific applications for AI being

2545
02:07:31,200 --> 02:07:33,480
Speaker 4: talked about right now, and they talked talked about like

2546
02:07:33,840 --> 02:07:40,480
Speaker 4: AI assisted manufacturing simulations like digital twins of factories, shipyards,

2547
02:07:40,520 --> 02:07:43,520
Speaker 4: power plants, a lot of digital twin tak building, you know,

2548
02:07:43,800 --> 02:07:47,560
Speaker 4: digital replicas of like everything you know of like society,

2549
02:07:47,640 --> 02:07:50,960
Speaker 4: to like run these simulations to both make AIS smarter,

2550
02:07:51,400 --> 02:07:54,640
Speaker 4: to generate new solutions outside of the limitations of a

2551
02:07:54,720 --> 02:07:57,600
Speaker 4: language model, and also find you know, potential problems in

2552
02:07:58,080 --> 02:07:59,800
Speaker 4: you know, when you build these things physically.

2553
02:08:00,360 --> 02:08:01,800
Speaker 2: Yeah, that was something that was brought up during the

2554
02:08:01,920 --> 02:08:04,840
Speaker 2: robotics panel, which was talking about how to like take

2555
02:08:05,720 --> 02:08:08,320
Speaker 2: the machine learning technology and other things that are generally

2556
02:08:08,360 --> 02:08:11,000
Speaker 2: grouped under AI and apply it in the physical world.

2557
02:08:11,400 --> 02:08:14,800
Speaker 4: Yeah, manufacturing, I've had done so much right in just

2558
02:08:14,920 --> 02:08:17,640
Speaker 4: one day. I probably I've heard the word manufacturing more

2559
02:08:17,680 --> 02:08:21,520
Speaker 4: today than I have most in every CEES I've been

2560
02:08:21,600 --> 02:08:23,760
Speaker 4: to previously, combined.

2561
02:08:23,320 --> 02:08:26,560
Speaker 2: And I think consciously more focused on industrial applications than

2562
02:08:26,600 --> 02:08:30,000
Speaker 2: on consumer technology because there's not that much new to

2563
02:08:30,080 --> 02:08:33,040
Speaker 2: give the consumer right and they are also I think

2564
02:08:33,080 --> 02:08:36,280
Speaker 2: starting to recognize that you can get people using chat

2565
02:08:36,360 --> 02:08:39,400
Speaker 2: GPT and the like, but they're mostly not using it,

2566
02:08:39,440 --> 02:08:41,480
Speaker 2: and the data backs this up. People are mostly using

2567
02:08:41,520 --> 02:08:44,240
Speaker 2: it at work and for school and gen z a lot.

2568
02:08:44,840 --> 02:08:47,000
Speaker 2: There's a lot of people who are doing like their

2569
02:08:47,040 --> 02:08:49,600
Speaker 2: research on like what to buy and whatnot through using

2570
02:08:49,680 --> 02:08:52,520
Speaker 2: chat GPT, But there's not a lot that you can

2571
02:08:52,600 --> 02:08:57,000
Speaker 2: sell people in CES because it's an app and there's

2572
02:08:57,080 --> 02:09:00,480
Speaker 2: not a ton of different devices for it. We're using

2573
02:09:00,520 --> 02:09:02,080
Speaker 2: it on their phone, they're using it on their computer,

2574
02:09:02,240 --> 02:09:03,840
Speaker 2: but like none of the new phones and computers are

2575
02:09:03,920 --> 02:09:07,040
Speaker 2: market the better at using chat GPT or another you know,

2576
02:09:07,240 --> 02:09:09,360
Speaker 2: chatbot thing than any of the others. So there's not

2577
02:09:09,440 --> 02:09:13,200
Speaker 2: a lot that's sexy in just that at CEES. So

2578
02:09:13,280 --> 02:09:17,120
Speaker 2: I think I have seen this conscience reforming around people

2579
02:09:17,200 --> 02:09:19,920
Speaker 2: in manufacturing and people who are like thinking of the

2580
02:09:20,000 --> 02:09:23,320
Speaker 2: concerns of like I have a pair like an exoskeleton

2581
02:09:23,400 --> 02:09:25,280
Speaker 2: to test this week. That's seeing a lot of its

2582
02:09:25,320 --> 02:09:29,480
Speaker 2: business in folks who are like doing like Amazon type

2583
02:09:29,560 --> 02:09:32,240
Speaker 2: jobs right loading and unloading packages and whatnot all day long,

2584
02:09:32,400 --> 02:09:35,040
Speaker 2: you know. And I do see a conscious reforming there,

2585
02:09:35,040 --> 02:09:37,280
Speaker 2: which I think is kind of evidence of like there's

2586
02:09:37,280 --> 02:09:39,320
Speaker 2: almost an admission that like, yeah, we don't really have

2587
02:09:39,440 --> 02:09:44,400
Speaker 2: that much to hand consumers anymore on a yearly basis.

2588
02:09:44,720 --> 02:09:48,080
Speaker 3: Speaking of handing things to consumers ads.

2589
02:10:00,000 --> 02:10:02,680
Speaker 2: So the first panel I went to of the day

2590
02:10:03,120 --> 02:10:06,200
Speaker 2: was about the funnel, which, as I understand it is

2591
02:10:06,280 --> 02:10:09,680
Speaker 2: just kind of like the way in which people have

2592
02:10:09,880 --> 02:10:14,520
Speaker 2: traditionally engaged with like media, gotten advertised to and then

2593
02:10:14,600 --> 02:10:16,920
Speaker 2: like gone to stores and bought stuff like the funnel

2594
02:10:16,960 --> 02:10:20,160
Speaker 2: by which you like make a customer, and how that's

2595
02:10:20,200 --> 02:10:23,080
Speaker 2: been completely blown up now, right, and AI is like

2596
02:10:23,160 --> 02:10:26,680
Speaker 2: a further massive disruption because people are not like people

2597
02:10:26,760 --> 02:10:29,800
Speaker 2: are increasingly especially very young people, which was putted out

2598
02:10:29,840 --> 02:10:32,280
Speaker 2: in a number of these are like buying stuff that

2599
02:10:32,440 --> 02:10:35,200
Speaker 2: a chatbot recommends them, right, And so a lot of

2600
02:10:35,320 --> 02:10:38,400
Speaker 2: marketing is being seen as being done through how do

2601
02:10:38,520 --> 02:10:40,840
Speaker 2: you get the chat bot to talk about you a

2602
02:10:40,920 --> 02:10:44,120
Speaker 2: certain way? What is the SEO of getting chat ept Oh,

2603
02:10:44,200 --> 02:10:46,200
Speaker 2: it's interesting, like right, there's a lot of time.

2604
02:10:46,360 --> 02:10:49,160
Speaker 4: Thought as someone who's not a regular chatbot user, which

2605
02:10:49,160 --> 02:10:51,200
Speaker 4: I'm sure people here am I which has me for it,

2606
02:10:51,280 --> 02:10:54,520
Speaker 4: We're not maximizing my productivity and meaning to get on

2607
02:10:54,560 --> 02:10:57,800
Speaker 4: to you for that, Garrison, there's not a regular chat

2608
02:10:57,800 --> 02:10:58,280
Speaker 4: about user.

2609
02:10:58,600 --> 02:10:59,800
Speaker 3: I've never thought of that before.

2610
02:11:00,040 --> 02:11:01,800
Speaker 4: Of yeah, I mean, like, I know people use these

2611
02:11:01,880 --> 02:11:04,440
Speaker 4: chatbots as a replacement for search engines, but the idea

2612
02:11:04,480 --> 02:11:07,440
Speaker 4: of like trying to you know, evaluate purchases is uh.

2613
02:11:08,040 --> 02:11:10,160
Speaker 4: I mean, I guess that makes sense now, but I've

2614
02:11:10,200 --> 02:11:10,960
Speaker 4: never put that together.

2615
02:11:11,200 --> 02:11:13,400
Speaker 2: Yeah, And the only because there was a lot of

2616
02:11:13,680 --> 02:11:17,160
Speaker 2: talking about like how AI is helping advertisers, how it's

2617
02:11:17,760 --> 02:11:21,000
Speaker 2: making advertisements, how like it's helping in the process of that,

2618
02:11:21,240 --> 02:11:24,080
Speaker 2: and there was a focus in all the panels about

2619
02:11:24,160 --> 02:11:26,640
Speaker 2: that on how like, well, it's just augmenting the humans.

2620
02:11:27,200 --> 02:11:30,720
Speaker 2: But the only specific examples given were the McDonald's and

2621
02:11:31,160 --> 02:11:35,120
Speaker 2: Coca Cola AI generated ads, which were both disastrous. I mean,

2622
02:11:35,160 --> 02:11:38,560
Speaker 2: the McDonald's one in the Netherlands got removed. Yeah, they

2623
02:11:38,680 --> 02:11:39,360
Speaker 2: people so bad.

2624
02:11:39,440 --> 02:11:42,920
Speaker 3: They withdrew the attic so ugly to ye, I don't know.

2625
02:11:43,000 --> 02:11:45,480
Speaker 2: Coke did do it twice, so maybe they consider it

2626
02:11:45,560 --> 02:11:47,840
Speaker 2: a win. But everything I saw was very negative. I

2627
02:11:47,840 --> 02:11:50,600
Speaker 2: didn't see a lot of positive feedback on Coca Cola,

2628
02:11:50,720 --> 02:11:53,240
Speaker 2: visa v They're weird. AI holidays are coming at.

2629
02:11:53,320 --> 02:11:55,640
Speaker 4: It's like people who don't know it's AI think feel

2630
02:11:55,760 --> 02:11:57,800
Speaker 4: very neutral about it. Yeah, people that do we know

2631
02:11:57,880 --> 02:12:00,440
Speaker 4: it's AI, I think generally have negative actions.

2632
02:12:00,480 --> 02:12:02,280
Speaker 2: I think if you look at it, it's pretty clear.

2633
02:12:02,320 --> 02:12:03,240
Speaker 2: But anyway, I mean, it was.

2634
02:12:03,480 --> 02:12:05,600
Speaker 3: Less clear if maybe you're like a sixty year old.

2635
02:12:05,880 --> 02:12:09,720
Speaker 2: Watches you know, exact in between stuff and that's all

2636
02:12:09,960 --> 02:12:10,480
Speaker 2: good enough.

2637
02:12:10,840 --> 02:12:12,960
Speaker 3: Grandpa, don't go Internet, right.

2638
02:12:13,120 --> 02:12:16,480
Speaker 2: Yeah he might notice some of those those fucking polar

2639
02:12:16,560 --> 02:12:19,040
Speaker 2: bears have the wrong number of pause. But yeah, so,

2640
02:12:19,200 --> 02:12:20,520
Speaker 2: like there was some talk of that and the other

2641
02:12:20,600 --> 02:12:23,040
Speaker 2: The only specific example they gave of like an AI

2642
02:12:23,720 --> 02:12:28,080
Speaker 2: enhanced strategy was Allegra. The people who own like the

2643
02:12:28,160 --> 02:12:30,800
Speaker 2: medicine had like a new non drowsy formula or they

2644
02:12:30,880 --> 02:12:33,080
Speaker 2: just wanted to highlight that it was non drowsy. So

2645
02:12:33,240 --> 02:12:37,880
Speaker 2: they basically had a bunch of like seated the stuff

2646
02:12:37,960 --> 02:12:40,760
Speaker 2: that chatbot that like open AI was scored that chatbots

2647
02:12:40,800 --> 02:12:44,240
Speaker 2: were scraping, Yeah, with content about how Allegra makes it

2648
02:12:44,400 --> 02:12:48,240
Speaker 2: is non drowsy and about how like competing similar medications

2649
02:12:48,280 --> 02:12:51,040
Speaker 2: make you drowsy, so that it would get mentioned in

2650
02:12:51,280 --> 02:12:54,680
Speaker 2: like when searched about it and they talked about they

2651
02:12:54,720 --> 02:12:56,560
Speaker 2: called it like model hacking. I think it was the

2652
02:12:56,640 --> 02:12:59,080
Speaker 2: exact term used. And that was the only thing that

2653
02:12:59,200 --> 02:13:01,440
Speaker 2: was the only speci example that I can't any of

2654
02:13:01,520 --> 02:13:03,480
Speaker 2: this works too, Like everyone else was just talking in

2655
02:13:03,520 --> 02:13:05,839
Speaker 2: vague terms about like and we've really seen our teams

2656
02:13:06,280 --> 02:13:08,160
Speaker 2: creativity sore or whatever.

2657
02:13:08,400 --> 02:13:11,160
Speaker 4: That's interesting, you know, because the way that I probably

2658
02:13:11,320 --> 02:13:13,680
Speaker 4: use or exposed to AI the most is like on

2659
02:13:13,840 --> 02:13:15,840
Speaker 4: like Google search now, which has you know, it's it's

2660
02:13:15,880 --> 02:13:19,120
Speaker 4: like AI like summaries instead of like actual search results.

2661
02:13:19,400 --> 02:13:20,760
Speaker 3: But those are based on.

2662
02:13:20,840 --> 02:13:23,080
Speaker 2: Like which you can type minus AI in with the

2663
02:13:23,120 --> 02:13:24,800
Speaker 2: search results if we want to cut that stuff out.

2664
02:13:25,040 --> 02:13:28,160
Speaker 4: But those AI results are you know, pulling from certain

2665
02:13:28,200 --> 02:13:30,960
Speaker 4: like articles which which they'll link to. So yeah, I

2666
02:13:30,960 --> 02:13:32,600
Speaker 4: guess if I was trying to design it like an

2667
02:13:32,640 --> 02:13:36,080
Speaker 4: AI marketing strategy, I would I would either you know,

2668
02:13:36,520 --> 02:13:40,160
Speaker 4: pay publications to mention my product in more articles or

2669
02:13:41,000 --> 02:13:43,320
Speaker 4: find find out find other ways to to to influence

2670
02:13:43,400 --> 02:13:46,560
Speaker 4: mentions of of my product in like written media that

2671
02:13:46,600 --> 02:13:49,160
Speaker 4: that then would be used as like training data for AI.

2672
02:13:49,880 --> 02:13:51,800
Speaker 4: And yeah, I guess there there there can be a

2673
02:13:51,840 --> 02:13:56,200
Speaker 4: whole you know, search engine optimization, model hacking is I guess.

2674
02:13:56,600 --> 02:14:00,760
Speaker 2: Model optimism or yeah, like product opposite optimization for a model.

2675
02:14:00,800 --> 02:14:04,160
Speaker 2: I guess that's funny, but yeah, like the So the

2676
02:14:04,280 --> 02:14:06,560
Speaker 2: first talk that I went to was about the funnel

2677
02:14:06,680 --> 02:14:08,400
Speaker 2: or whatever, and one of the people speaking there was

2678
02:14:08,480 --> 02:14:11,960
Speaker 2: the CMO, the chief marketing officer of Intuit, which is

2679
02:14:12,000 --> 02:14:14,600
Speaker 2: the company that owns Turbo Tax right like it's one

2680
02:14:14,640 --> 02:14:18,240
Speaker 2: of the big we do your taxes companies out there,

2681
02:14:18,280 --> 02:14:21,600
Speaker 2: and also a lobbyer in terms of stopping any sort

2682
02:14:21,600 --> 02:14:22,840
Speaker 2: of a form that would make it's that you don't

2683
02:14:22,880 --> 02:14:25,320
Speaker 2: need to do your own tax the other countries still.

2684
02:14:25,120 --> 02:14:27,480
Speaker 3: Credit score monitoring, yes, a whole bunch.

2685
02:14:27,280 --> 02:14:29,400
Speaker 2: Of stuff, all that kind of stuff. So this, this guy,

2686
02:14:29,480 --> 02:14:32,240
Speaker 2: the CMO of the company Thomas Renize, was part of

2687
02:14:32,320 --> 02:14:35,240
Speaker 2: this the end of the funnel speech, and he made

2688
02:14:35,280 --> 02:14:36,880
Speaker 2: a couple of comments that I took note of. One

2689
02:14:36,960 --> 02:14:39,880
Speaker 2: is product is brand and brand is product full stop.

2690
02:14:40,400 --> 02:14:42,480
Speaker 2: So the more people you can make experience your product,

2691
02:14:42,600 --> 02:14:45,160
Speaker 2: that's the best selling point and value of course, right,

2692
02:14:45,720 --> 02:14:47,640
Speaker 2: Which it was just interesting to me in terms of

2693
02:14:47,720 --> 02:14:49,920
Speaker 2: the into it as a company that has lobbied to

2694
02:14:49,960 --> 02:14:52,640
Speaker 2: make it impossible for like any reform that would allow

2695
02:14:52,640 --> 02:14:54,840
Speaker 2: people to not need a third party to do there

2696
02:14:55,840 --> 02:14:58,720
Speaker 2: they're taxes. But also this idea that like product is

2697
02:14:58,760 --> 02:15:01,680
Speaker 2: brand and brand is product isn't true of a lot

2698
02:15:01,720 --> 02:15:04,120
Speaker 2: of companies, Like if you think about like, for example,

2699
02:15:04,320 --> 02:15:06,920
Speaker 2: like a lot of the different soft drinks are all

2700
02:15:07,080 --> 02:15:10,440
Speaker 2: owned by one company, but they're fundamentally different like products

2701
02:15:10,520 --> 02:15:13,480
Speaker 2: and have an often cases like a different user base.

2702
02:15:13,880 --> 02:15:15,920
Speaker 2: And it's very like it's a very tech when your

2703
02:15:16,000 --> 02:15:18,880
Speaker 2: product is a concept, Like you can't do your own

2704
02:15:19,000 --> 02:15:20,720
Speaker 2: taxes because it's a pain in the ass, but the

2705
02:15:20,800 --> 02:15:22,720
Speaker 2: government doesn't do it for you because we lobby to

2706
02:15:22,760 --> 02:15:26,280
Speaker 2: make that illegal. Like I found that interesting and it

2707
02:15:26,400 --> 02:15:29,880
Speaker 2: kind of got me angry at Thomas at the start

2708
02:15:29,920 --> 02:15:34,200
Speaker 2: of this. And I was particularly interested in one of

2709
02:15:34,240 --> 02:15:35,960
Speaker 2: the things he brought up, which is that he talked

2710
02:15:36,000 --> 02:15:38,560
Speaker 2: about the one hundred million dollars that into It is

2711
02:15:38,600 --> 02:15:40,640
Speaker 2: putting into open AI and they're putting this into Open

2712
02:15:40,680 --> 02:15:43,960
Speaker 2: AI as part of a multi year partnership. And I

2713
02:15:44,080 --> 02:15:48,480
Speaker 2: want to quote from an article in the website Araptus,

2714
02:15:48,880 --> 02:15:52,080
Speaker 2: which is discussing this exact thing that I found useful

2715
02:15:52,120 --> 02:15:55,040
Speaker 2: when I was formulating my question for Thomas. The contract

2716
02:15:55,160 --> 02:15:58,000
Speaker 2: was to embed AM models directly into quick Books, TurboTax,

2717
02:15:58,040 --> 02:16:01,280
Speaker 2: and credit Karma. The promise AI stance that can generate invoices,

2718
02:16:01,320 --> 02:16:05,040
Speaker 2: provide tax extments, recommend loans, and help you make informed

2719
02:16:05,120 --> 02:16:08,120
Speaker 2: financial decisions. Right. That may sound like kind of like

2720
02:16:08,200 --> 02:16:13,360
Speaker 2: a basic move, like's what's so sketchy about just integrating

2721
02:16:13,440 --> 02:16:15,640
Speaker 2: like an AI chatbot to make it easier to use

2722
02:16:15,640 --> 02:16:18,680
Speaker 2: your tax software. It can be complicated and hard to

2723
02:16:18,840 --> 02:16:22,600
Speaker 2: use as anyway, But kind of the necessary part of

2724
02:16:22,720 --> 02:16:25,560
Speaker 2: this is if you are if you're doing this, if

2725
02:16:25,600 --> 02:16:29,280
Speaker 2: you're integrating all of these different tax and credit programs

2726
02:16:29,840 --> 02:16:33,360
Speaker 2: into an AI model, you're giving that AI model access

2727
02:16:33,480 --> 02:16:37,720
Speaker 2: to people's financial data in a tremendous amount of detail. Right,

2728
02:16:38,280 --> 02:16:43,080
Speaker 2: And all of these AI models have a massive shared vulnerability,

2729
02:16:43,080 --> 02:16:46,560
Speaker 2: which is a vernability to something called prompt injection, right.

2730
02:16:47,120 --> 02:16:49,920
Speaker 2: And that's when, for example, say someone is a customer

2731
02:16:49,959 --> 02:16:51,920
Speaker 2: of a tax preparer that uses one of into its

2732
02:16:51,959 --> 02:16:54,760
Speaker 2: products to prepare taxes for its customers. And this person

2733
02:16:54,879 --> 02:16:58,880
Speaker 2: sends an invoice into the company that has hidden text

2734
02:16:59,000 --> 02:17:01,560
Speaker 2: in it that is a demand to the language model

2735
02:17:01,600 --> 02:17:06,200
Speaker 2: that will be scraping this and uploading it to basically

2736
02:17:06,760 --> 02:17:09,080
Speaker 2: open up and send over a bunch of customer data

2737
02:17:09,600 --> 02:17:12,320
Speaker 2: to a specific source. That's a thing that you can do.

2738
02:17:12,600 --> 02:17:15,840
Speaker 2: It's called prompt injection. And there's not really a way

2739
02:17:15,920 --> 02:17:19,440
Speaker 2: to counter it. There's not like a proven comprehensive defense

2740
02:17:19,680 --> 02:17:24,240
Speaker 2: against this sort of thing, and so there's this massive vulnerability.

2741
02:17:24,240 --> 02:17:26,040
Speaker 2: And this was first brought up in an article on

2742
02:17:26,120 --> 02:17:29,920
Speaker 2: the website. I cited a raptus by Chris Black, who's

2743
02:17:29,959 --> 02:17:33,120
Speaker 2: a security researcher an expert, and I want to read

2744
02:17:33,200 --> 02:17:36,320
Speaker 2: a quote from his article about this. There are no

2745
02:17:36,480 --> 02:17:39,920
Speaker 2: proven comprehensive defenses against prompt injection. When not if an

2746
02:17:39,959 --> 02:17:42,920
Speaker 2: AI powered financial tool leaks customer data through a prompt

2747
02:17:42,959 --> 02:17:46,000
Speaker 2: injection attack, who is liable the company using quick books

2748
02:17:46,040 --> 02:17:49,320
Speaker 2: into it open AI? The regulations weren't written for this scenario.

2749
02:17:50,000 --> 02:17:52,560
Speaker 2: So I decided to ask that question of Thomas, being

2750
02:17:52,640 --> 02:17:55,160
Speaker 2: like the chief marketing officer, I figured, well he should

2751
02:17:55,320 --> 02:17:58,720
Speaker 2: have some answer to like, what do you have. What

2752
02:17:58,879 --> 02:18:00,880
Speaker 2: sort of security measures do you have to mitigate the

2753
02:18:00,959 --> 02:18:04,120
Speaker 2: risk of a prompt injection attack? And who do you

2754
02:18:04,160 --> 02:18:06,720
Speaker 2: see as being responsible? If you are the ones providing

2755
02:18:07,200 --> 02:18:10,080
Speaker 2: customer data to open ai and their tool gets hit

2756
02:18:10,120 --> 02:18:12,720
Speaker 2: by a prompt injection attack, are you responsible? Is open

2757
02:18:12,800 --> 02:18:14,960
Speaker 2: ai is a third party that might be using your products?

2758
02:18:15,360 --> 02:18:17,400
Speaker 2: And he had no answer to this. He like, his

2759
02:18:17,520 --> 02:18:19,680
Speaker 2: only answer when we were on stage was like, we're

2760
02:18:19,720 --> 02:18:21,959
Speaker 2: talking with open ai about it, which like, well, you're

2761
02:18:21,959 --> 02:18:24,680
Speaker 2: already in the process of collaborating with them.

2762
02:18:25,280 --> 02:18:25,480
Speaker 5: Yeah.

2763
02:18:25,480 --> 02:18:27,000
Speaker 2: I have a question for Thomas.

2764
02:18:28,320 --> 02:18:31,080
Speaker 8: I was kind of concerned when reading about intuit assists

2765
02:18:31,240 --> 02:18:34,280
Speaker 8: that a open AI is going to have read and

2766
02:18:34,400 --> 02:18:39,200
Speaker 8: write access to quite a lot of financial information from users,

2767
02:18:40,000 --> 02:18:43,200
Speaker 8: which opens up a vulnerability for a prompt injection. Right,

2768
02:18:43,280 --> 02:18:45,640
Speaker 8: you have the possibility that people can hide things and

2769
02:18:45,720 --> 02:18:49,120
Speaker 8: invoices that are then being uploaded that will cause the

2770
02:18:49,280 --> 02:18:54,000
Speaker 8: AI to provide the malicious user with financial details for

2771
02:18:54,240 --> 02:18:58,760
Speaker 8: individuals or corporations. And I guess my primary question here

2772
02:18:59,000 --> 02:19:03,439
Speaker 8: this seems like a major liability issue when somebody's information

2773
02:19:03,600 --> 02:19:06,160
Speaker 8: gets rerouted to a blaze that's not supposed to go

2774
02:19:06,320 --> 02:19:09,160
Speaker 8: to a malicious actor who's responsible.

2775
02:19:09,840 --> 02:19:14,240
Speaker 3: You're taking the value of integrity and protecting our customer

2776
02:19:14,360 --> 02:19:17,360
Speaker 3: data crily seriously over our entire lives.

2777
02:19:17,800 --> 02:19:20,520
Speaker 5: And that's what reporting the company and meeting in the

2778
02:19:20,560 --> 02:19:22,199
Speaker 5: software space for financial services.

2779
02:19:22,280 --> 02:19:25,120
Speaker 3: So this is not something we're about to use it

2780
02:19:25,200 --> 02:19:27,840
Speaker 3: in any way in the new age of AI. In fact,

2781
02:19:27,879 --> 02:19:29,039
Speaker 3: it has to get even more.

2782
02:19:28,920 --> 02:19:32,560
Speaker 4: And more double down of protecting people's information and security

2783
02:19:32,560 --> 02:19:33,200
Speaker 4: of edforation.

2784
02:19:33,440 --> 02:19:35,840
Speaker 3: So that is something that we are already in team

2785
02:19:35,920 --> 02:19:38,520
Speaker 3: conversations with open AI have a nation about that whole

2786
02:19:38,879 --> 02:19:41,000
Speaker 3: group no matter where we're startings.

2787
02:19:42,040 --> 02:19:44,240
Speaker 2: And when I kind of cornered him afterwards, he didn't

2788
02:19:44,320 --> 02:19:46,440
Speaker 2: have like his eventual follow up answers like I don't

2789
02:19:46,480 --> 02:19:48,120
Speaker 2: know that kind of stuff and like you are the

2790
02:19:48,240 --> 02:19:51,240
Speaker 2: chief marketing officer. Thank you, Againe for answering my question.

2791
02:19:51,440 --> 02:19:52,240
Speaker 5: Sure your question.

2792
02:19:52,640 --> 02:19:56,240
Speaker 2: I'm still really concerned about the danger of prompt injection

2793
02:19:56,400 --> 02:20:01,120
Speaker 2: attacks revealing financial data. And it doesn't still sound like

2794
02:20:01,240 --> 02:20:03,599
Speaker 2: there's an understanding of who will be liable.

2795
02:20:05,080 --> 02:20:06,640
Speaker 5: Expert answer that question for you.

2796
02:20:06,800 --> 02:20:08,200
Speaker 2: So I mean, like I can tell you that we're

2797
02:20:08,320 --> 02:20:11,000
Speaker 2: coming into our security and privacy and we are doing

2798
02:20:11,040 --> 02:20:12,480
Speaker 2: everything we can to protect that.

2799
02:20:12,600 --> 02:20:14,880
Speaker 3: I feel a lot writing on it as you might imagine.

2800
02:20:15,000 --> 02:20:17,800
Speaker 2: Well, yeah, it's every digital security expert I've talked to

2801
02:20:17,959 --> 02:20:20,760
Speaker 2: says it's a matter of when, not if, that there

2802
02:20:20,920 --> 02:20:26,560
Speaker 2: is financial data revealed by these attacks. It seems like understanding.

2803
02:20:28,000 --> 02:20:29,520
Speaker 2: I'm just I'm not going to be the expert to

2804
02:20:29,520 --> 02:20:35,320
Speaker 2: get into the details on that. Okay, Yeah, A key

2805
02:20:35,400 --> 02:20:37,600
Speaker 2: part of marketing this should be being able to tell

2806
02:20:37,680 --> 02:20:40,680
Speaker 2: people what kind of safety precautions are being taken with

2807
02:20:40,800 --> 02:20:43,960
Speaker 2: their data. And the fact that he didn't and clearly

2808
02:20:44,040 --> 02:20:45,960
Speaker 2: had never thought about any of this stuff. And I

2809
02:20:46,040 --> 02:20:47,440
Speaker 2: had a couple of different people come up to me

2810
02:20:47,560 --> 02:20:50,240
Speaker 2: afterwards and like be like, Wow, that was a really

2811
02:20:50,280 --> 02:20:53,120
Speaker 2: good question. And I was like, well, why hasn't this

2812
02:20:53,200 --> 02:20:56,280
Speaker 2: been asked before? Like why why is this a thing

2813
02:20:56,320 --> 02:20:58,200
Speaker 2: where like some guy's blogging about it and I'm asking

2814
02:20:58,240 --> 02:20:59,760
Speaker 2: you about it and you don't have an answer to it,

2815
02:21:00,200 --> 02:21:02,359
Speaker 2: and you're the CEO of one of like the largest

2816
02:21:02,560 --> 02:21:05,960
Speaker 2: tax prep the largest tax prep company in the country.

2817
02:21:06,080 --> 02:21:12,120
Speaker 2: Like it's just it's emblematic of how careless everyone adjacent

2818
02:21:12,200 --> 02:21:15,879
Speaker 2: to this industry is, which personal data with the safety

2819
02:21:16,360 --> 02:21:18,680
Speaker 2: of people and of society as a result of like

2820
02:21:18,760 --> 02:21:22,240
Speaker 2: what their products are doing. Like there's absolutely no consideration

2821
02:21:22,440 --> 02:21:24,800
Speaker 2: given the harms of any of this shit, and it's

2822
02:21:24,959 --> 02:21:28,039
Speaker 2: it's the most consistently dispiriting part of showing up at CEES.

2823
02:21:29,400 --> 02:21:30,440
Speaker 1: Well what is right?

2824
02:21:30,680 --> 02:21:31,600
Speaker 3: What a fun story?

2825
02:21:31,720 --> 02:21:32,080
Speaker 4: That is?

2826
02:21:43,959 --> 02:21:45,039
Speaker 2: All right, we're back.

2827
02:21:45,400 --> 02:21:45,440
Speaker 3: So.

2828
02:21:45,879 --> 02:21:47,680
Speaker 2: One of the other things that's been a major topic

2829
02:21:47,920 --> 02:21:49,760
Speaker 2: on the panels I went to and is generally a

2830
02:21:49,800 --> 02:21:51,760
Speaker 2: big thing at CES this year and in tech this

2831
02:21:51,920 --> 02:21:56,040
Speaker 2: year is agentic AI or agents. Right, the idea that

2832
02:21:56,480 --> 02:21:58,800
Speaker 2: you have an AI that you can send off to

2833
02:21:58,920 --> 02:22:00,560
Speaker 2: like book a flight for you, and it doesn't just

2834
02:22:00,640 --> 02:22:03,080
Speaker 2: like find a flight that it searches for and be like, hey,

2835
02:22:03,160 --> 02:22:05,320
Speaker 2: this looks good, It like actually books it for you

2836
02:22:05,560 --> 02:22:06,760
Speaker 2: and handles all of that.

2837
02:22:07,000 --> 02:22:07,120
Speaker 4: Right.

2838
02:22:07,959 --> 02:22:10,000
Speaker 2: This has been one of the big promises of AI,

2839
02:22:10,200 --> 02:22:11,960
Speaker 2: not just for like flights, but that you can have

2840
02:22:12,160 --> 02:22:15,280
Speaker 2: like an actual digital assistant that persistently remembers all of

2841
02:22:15,320 --> 02:22:18,120
Speaker 2: your shit and can book stuff for you and handle

2842
02:22:18,680 --> 02:22:21,200
Speaker 2: like the pain in the ass nitty gritty. If you say, like, hey,

2843
02:22:21,720 --> 02:22:23,840
Speaker 2: I need you to find a restaurant within like this

2844
02:22:24,000 --> 02:22:28,200
Speaker 2: four block radius that has seven seats open at eight

2845
02:22:28,320 --> 02:22:32,000
Speaker 2: pm and abides by these dietary restrictions, you kind of

2846
02:22:32,080 --> 02:22:34,400
Speaker 2: just have to slog through figuring that out right now.

2847
02:22:34,959 --> 02:22:37,440
Speaker 2: And the idea is an agent can do that for you,

2848
02:22:37,680 --> 02:22:39,200
Speaker 2: and currently none of them can.

2849
02:22:39,640 --> 02:22:39,760
Speaker 4: Right.

2850
02:22:40,360 --> 02:22:44,040
Speaker 2: This is a thing that is changing, like the performance

2851
02:22:44,120 --> 02:22:47,560
Speaker 2: of different agents are changing over time, but it is

2852
02:22:47,800 --> 02:22:50,280
Speaker 2: still very unclear. If you're not somebod who's fully bought

2853
02:22:50,360 --> 02:22:52,760
Speaker 2: into the kool aid, I'll say, it's very unclear where

2854
02:22:52,840 --> 02:22:55,120
Speaker 2: these things will top out at. And there was a

2855
02:22:55,160 --> 02:22:58,360
Speaker 2: good article in futurism recently and I want to quote

2856
02:22:58,360 --> 02:23:01,360
Speaker 2: from it right now. Research is Carnegie Mellen University found

2857
02:23:01,400 --> 02:23:03,800
Speaker 2: earlier this year that even the best performing AI agent,

2858
02:23:03,800 --> 02:23:05,560
Speaker 2: which was Google's gym and I two point five pro

2859
02:23:05,680 --> 02:23:08,400
Speaker 2: at the time, failed to complete real world office tasks

2860
02:23:08,480 --> 02:23:11,640
Speaker 2: seventy percent of the time. And this is there's been

2861
02:23:11,680 --> 02:23:13,240
Speaker 2: a bunch of articles in the last couple of months

2862
02:23:13,280 --> 02:23:15,840
Speaker 2: about like why didn't because twenty twenty five was supposed

2863
02:23:15,840 --> 02:23:17,560
Speaker 2: to be the year of agent to AAI and now

2864
02:23:17,600 --> 02:23:19,520
Speaker 2: they're saying, well, twenty twenty six it's going to be

2865
02:23:19,520 --> 02:23:21,840
Speaker 2: the year of agenta AAI. Not because none of this

2866
02:23:21,920 --> 02:23:24,120
Speaker 2: stuff works, and in fact enough does that there's a

2867
02:23:24,200 --> 02:23:27,640
Speaker 2: number of viable businesses in it. It's not nothing, but

2868
02:23:27,760 --> 02:23:29,480
Speaker 2: it does not work as well as they said it

2869
02:23:29,520 --> 02:23:31,840
Speaker 2: would be working right now, and it consequently has not

2870
02:23:31,959 --> 02:23:35,240
Speaker 2: been adopted merely as widely as was expected even this

2871
02:23:35,360 --> 02:23:38,240
Speaker 2: time last year. Right, there's an article in hr dive

2872
02:23:38,360 --> 02:23:40,720
Speaker 2: half of gen Z chat GPT users say they view

2873
02:23:40,760 --> 02:23:43,480
Speaker 2: it as a coworker. Survey shows that sites a survey

2874
02:23:43,520 --> 02:23:46,160
Speaker 2: of about eighty six hundred full time US workers, which

2875
02:23:46,200 --> 02:23:49,040
Speaker 2: found that about eleven percent of those who responded said

2876
02:23:49,080 --> 02:23:52,000
Speaker 2: they use chat GPT regularly, including about twenty one percent

2877
02:23:52,080 --> 02:23:55,160
Speaker 2: of gen Z workers, which is significantly lower. You can

2878
02:23:55,320 --> 02:23:57,240
Speaker 2: find depending on who you go to. And the stat

2879
02:23:57,280 --> 02:24:01,000
Speaker 2: I've seen bandied about was that like fifty seven percent

2880
02:24:01,280 --> 02:24:04,680
Speaker 2: of gen Z people use chat GPT on a daily

2881
02:24:04,800 --> 02:24:07,960
Speaker 2: basis for like work, and like more than half used

2882
02:24:08,000 --> 02:24:10,360
Speaker 2: it as like their primary source recommendations like what stuff

2883
02:24:10,400 --> 02:24:13,080
Speaker 2: to buy. I don't know, like which set of numbers

2884
02:24:13,160 --> 02:24:16,039
Speaker 2: is accurate. There's a lot of different posters giving data, right,

2885
02:24:16,600 --> 02:24:18,600
Speaker 2: but kind of no matter who you look at, the

2886
02:24:19,120 --> 02:24:21,880
Speaker 2: evidence suggests that the year that was supposed to be

2887
02:24:21,879 --> 02:24:24,000
Speaker 2: the year of agentic Ai did not turn it into

2888
02:24:24,080 --> 02:24:27,680
Speaker 2: a normal thing. Right, It's still lagging behind expectation. So

2889
02:24:27,800 --> 02:24:30,440
Speaker 2: that's kind of what we're seeing at CEES is a

2890
02:24:30,520 --> 02:24:33,000
Speaker 2: lot of people trying to like, well, let's bring back

2891
02:24:33,240 --> 02:24:35,760
Speaker 2: kind of the same agentic shit we had last year,

2892
02:24:35,840 --> 02:24:38,080
Speaker 2: slightly improved and see if it catches on, maybe this

2893
02:24:38,240 --> 02:24:39,439
Speaker 2: year it'll hit maturity.

2894
02:24:39,760 --> 02:24:43,520
Speaker 4: Right Yeah, no, I mean we've been hearing agentic stuff

2895
02:24:43,560 --> 02:24:45,200
Speaker 4: every once in a while, definitely not as much as

2896
02:24:45,600 --> 02:24:48,040
Speaker 4: last year. It's one of those like salt pepperwords that

2897
02:24:48,120 --> 02:24:51,280
Speaker 4: they throw in the second batch of panels that I

2898
02:24:51,360 --> 02:24:55,480
Speaker 4: attended after the keynote, which I should mention as soon

2899
02:24:55,520 --> 02:24:58,520
Speaker 4: as I walked into the keynote at eight thirty am.

2900
02:24:59,560 --> 02:25:02,640
Speaker 4: The first thing, the very first thing I heard from

2901
02:25:02,800 --> 02:25:05,520
Speaker 4: Gary Shapiro's well, one of the heads the Consumer Technology

2902
02:25:05,560 --> 02:25:07,800
Speaker 4: Association was a six to seven joke.

2903
02:25:07,959 --> 02:25:11,040
Speaker 3: But whether this is your first CEES or your fifteenth,

2904
02:25:11,760 --> 02:25:16,920
Speaker 3: on my case, you belong to number was that sixty

2905
02:25:17,040 --> 02:25:17,520
Speaker 3: or seven?

2906
02:25:19,080 --> 02:25:20,280
Speaker 1: You did a six to seven joke?

2907
02:25:20,360 --> 02:25:20,840
Speaker 7: Already?

2908
02:25:22,440 --> 02:25:25,959
Speaker 4: Very first thing, Wow, great, great, therey am as soon

2909
02:25:26,040 --> 02:25:28,320
Speaker 4: as I walk in. It's because I walked in maybe

2910
02:25:28,360 --> 02:25:31,720
Speaker 4: like five minutes late, but very first words. So that's

2911
02:25:32,240 --> 02:25:36,080
Speaker 4: that's good's that kind of sets the tone for a

2912
02:25:36,160 --> 02:25:38,800
Speaker 4: lot of a lot of that panel. But then I

2913
02:25:39,120 --> 02:25:43,360
Speaker 4: went to a few panels in Eureka Park about like

2914
02:25:43,520 --> 02:25:47,920
Speaker 4: AI governance and like how governments working working with AI.

2915
02:25:48,879 --> 02:25:52,280
Speaker 4: A lot of stuff mostly about like the challenge of

2916
02:25:52,320 --> 02:25:55,320
Speaker 4: governments keeping up with innovation, how you know, too much

2917
02:25:55,360 --> 02:25:59,959
Speaker 4: regulation restricts these companies from doing real regulation. The Secretary

2918
02:26:00,360 --> 02:26:05,360
Speaker 4: State of Austria had a really good quote about how

2919
02:26:06,240 --> 02:26:08,480
Speaker 4: data protections inhibit innovation.

2920
02:26:09,280 --> 02:26:11,240
Speaker 6: One of the things that we are seeing today is

2921
02:26:11,320 --> 02:26:13,880
Speaker 6: that some of the people, some of the citizens, have

2922
02:26:14,160 --> 02:26:15,440
Speaker 6: this fear about AI.

2923
02:26:15,959 --> 02:26:19,879
Speaker 3: So how do you feel it in Austria. I think

2924
02:26:19,920 --> 02:26:21,280
Speaker 3: you mentioned very very well.

2925
02:26:21,400 --> 02:26:26,199
Speaker 4: It's all about building trust, taking the field trust WROPVIAI.

2926
02:26:26,440 --> 02:26:29,879
Speaker 3: That's it's the most important thing. And of course data

2927
02:26:29,959 --> 02:26:33,520
Speaker 3: protection is very huge. But on the other side, between

2928
02:26:33,680 --> 02:26:38,119
Speaker 3: data protection and innovation, you need to find the middle

2929
02:26:38,200 --> 02:26:42,440
Speaker 3: way because sometimes data protection is not good for innovation.

2930
02:26:43,320 --> 02:26:47,760
Speaker 4: On a similar notice, the Intuit turbotaxt thing of data

2931
02:26:47,800 --> 02:26:50,640
Speaker 4: protection is mainly getting in the way of trying to

2932
02:26:50,760 --> 02:26:54,160
Speaker 4: actually make make real social progress, which we'll carry with

2933
02:26:54,240 --> 02:26:56,600
Speaker 4: it some degree of risk. The second one of these

2934
02:26:56,600 --> 02:27:02,200
Speaker 4: AI governance panels was like the EU ambassadors to the

2935
02:27:02,360 --> 02:27:08,160
Speaker 4: US from Estonia and Luxembourg talking about like Reaganomics basically

2936
02:27:08,360 --> 02:27:11,360
Speaker 4: for thirty minutes talking about how much they love ronalds

2937
02:27:11,400 --> 02:27:13,600
Speaker 4: Reige great when as.

2938
02:27:13,480 --> 02:27:18,560
Speaker 10: Soniao was certainly subscribed to the this statement that Reagan

2939
02:27:18,600 --> 02:27:22,840
Speaker 10: once made that they feel most horrific words in English

2940
02:27:23,160 --> 02:27:26,560
Speaker 10: are the ones saying that, Hey, I'm from from the

2941
02:27:26,640 --> 02:27:28,279
Speaker 10: government and I'm here to help.

2942
02:27:28,160 --> 02:27:32,640
Speaker 4: You, specifically in trying to make sure that governments are

2943
02:27:32,640 --> 02:27:35,840
Speaker 4: able to keep up with technology. And the previous panel

2944
02:27:35,879 --> 02:27:38,800
Speaker 4: with the Austrian Secretary of State was about the challenges

2945
02:27:38,840 --> 02:27:41,560
Speaker 4: of trying to convince the citizens of these countries to

2946
02:27:41,720 --> 02:27:46,000
Speaker 4: like adopt AI and adopt in general like digitalization and

2947
02:27:46,080 --> 02:27:48,680
Speaker 4: specifically with like digital ideas, and how how there's like,

2948
02:27:48,720 --> 02:27:50,560
Speaker 4: you know, maybe like twenty to thirty percent of people

2949
02:27:50,560 --> 02:27:52,920
Speaker 4: who are very resistant. And then the challenge of like

2950
02:27:53,200 --> 02:27:55,000
Speaker 4: making making sure that like this gets framed is not

2951
02:27:55,080 --> 02:27:57,280
Speaker 4: not as like a product or like a like a

2952
02:27:57,400 --> 02:27:59,039
Speaker 4: project for technology.

2953
02:27:58,600 --> 02:28:00,880
Speaker 3: But as a society white push.

2954
02:28:01,400 --> 02:28:01,640
Speaker 5: Yeah.

2955
02:28:02,160 --> 02:28:04,520
Speaker 4: But besides that, these these panels were honestly a little

2956
02:28:04,560 --> 02:28:07,840
Speaker 4: bit sleepy as well as the state of the Creator

2957
02:28:07,920 --> 02:28:12,119
Speaker 4: Economy panel, How's it doing? You know what, it's both

2958
02:28:12,440 --> 02:28:15,720
Speaker 4: it's both in its adolescence but also rich maturity. Wow,

2959
02:28:16,240 --> 02:28:19,200
Speaker 4: And they said, you know it's hard both it's hard

2960
02:28:19,240 --> 02:28:21,640
Speaker 4: for for something to be two things at once, but

2961
02:28:21,959 --> 02:28:22,760
Speaker 4: in this case it is.

2962
02:28:25,760 --> 02:28:28,240
Speaker 3: But they talked about how creators are more.

2963
02:28:28,240 --> 02:28:31,039
Speaker 4: Enabled to use brand deals, including you know, brand deals

2964
02:28:31,080 --> 02:28:34,760
Speaker 4: to enabled with like a backlog of older content. You

2965
02:28:34,800 --> 02:28:38,200
Speaker 4: can remove brand deals from older content and replace them

2966
02:28:38,240 --> 02:28:40,920
Speaker 4: with current brand deals using a new future from YouTube.

2967
02:28:41,320 --> 02:28:43,199
Speaker 4: There's a guy from YouTube at the panel.

2968
02:28:43,560 --> 02:28:45,560
Speaker 2: Sure, yeah, I'm sure he was very excited, but.

2969
02:28:45,560 --> 02:28:48,240
Speaker 4: It was mostly about how, you know, new new ways

2970
02:28:48,280 --> 02:28:51,080
Speaker 4: to use influencers to market your product. And that is

2971
02:28:51,160 --> 02:28:53,960
Speaker 4: the extent of what the creator economy really meant.

2972
02:28:54,160 --> 02:28:56,240
Speaker 2: And that's all any of these people have any idea

2973
02:28:56,320 --> 02:29:00,280
Speaker 2: on is like we can inject ads into AI trust

2974
02:29:00,360 --> 02:29:03,240
Speaker 2: AI so they'll buy the products, or we can inject

2975
02:29:03,320 --> 02:29:06,560
Speaker 2: ads into influencers they trust the influencers. That was the thing,

2976
02:29:06,840 --> 02:29:09,160
Speaker 2: Like none of these people they dress it up with

2977
02:29:09,240 --> 02:29:11,600
Speaker 2: all sorts of fancy language, but it's and most of

2978
02:29:11,640 --> 02:29:14,440
Speaker 2: these panels you mentioned, like there's a lot of bullshit

2979
02:29:14,520 --> 02:29:16,400
Speaker 2: every now and then you get some like good moments,

2980
02:29:16,440 --> 02:29:18,959
Speaker 2: so you get to like question an asshole, but it's

2981
02:29:19,000 --> 02:29:22,200
Speaker 2: mostly bullshit, but it's occasionally worth it for moments like

2982
02:29:22,680 --> 02:29:24,760
Speaker 2: when I was on the agentic AI cutting through the

2983
02:29:24,840 --> 02:29:28,760
Speaker 2: hype panel. Jay Patisol, who's the principal analyst at Forrester,

2984
02:29:29,320 --> 02:29:33,039
Speaker 2: started speaking and he said something beautiful Garrison, and I'm

2985
02:29:33,120 --> 02:29:35,600
Speaker 2: I'm this is not an exact but it's pretty close.

2986
02:29:36,080 --> 02:29:38,880
Speaker 2: We have a new audience. We are speaking to machines.

2987
02:29:39,120 --> 02:29:41,360
Speaker 2: We are through the looking glass. We are building content

2988
02:29:41,440 --> 02:29:44,160
Speaker 2: for engines. We are building websites to be scraped so

2989
02:29:44,240 --> 02:29:46,760
Speaker 2: that an LM can understand what you wanted to understand

2990
02:29:46,800 --> 02:29:49,440
Speaker 2: about your brand. Ye ye, yeah, that gets it. That's

2991
02:29:49,480 --> 02:29:51,880
Speaker 2: what these people see the Internet as they see it

2992
02:29:51,920 --> 02:29:54,560
Speaker 2: as like everything before this was a mistake or was.

2993
02:29:54,840 --> 02:29:58,880
Speaker 2: What the Internet was for was a place for brands

2994
02:29:59,000 --> 02:30:02,840
Speaker 2: to feed information into machines that then spoon feed the

2995
02:30:02,879 --> 02:30:06,240
Speaker 2: information directly into customers who trust it like little lambs.

2996
02:30:06,800 --> 02:30:08,880
Speaker 2: That's what they want the Internet to be, and that's

2997
02:30:08,920 --> 02:30:11,920
Speaker 2: what they believe they've gotten to. That's what AI. That's

2998
02:30:11,959 --> 02:30:12,879
Speaker 2: the promise of AI.

2999
02:30:13,240 --> 02:30:15,040
Speaker 4: The promise of AI is that this isn't just the

3000
02:30:15,080 --> 02:30:17,680
Speaker 4: Internet anymore. This can actually just be the physical world

3001
02:30:17,720 --> 02:30:19,800
Speaker 4: as well. And this is something that was talked about

3002
02:30:19,879 --> 02:30:24,760
Speaker 4: during the cees CTA keynote Tuesday morning, specifically with the

3003
02:30:24,879 --> 02:30:28,000
Speaker 4: birth of AI wearables each of these wearables is able

3004
02:30:28,040 --> 02:30:31,200
Speaker 4: to now collect information about the physical world and as

3005
02:30:31,320 --> 02:30:33,800
Speaker 4: Hong as you have you know, adequate data sharing, AI

3006
02:30:33,879 --> 02:30:37,119
Speaker 4: is able to gain so much more knowledge about how

3007
02:30:37,200 --> 02:30:39,840
Speaker 4: the quote unquote real world operates. And this is going

3008
02:30:39,879 --> 02:30:43,000
Speaker 4: to make you know, all of the processes of AI

3009
02:30:43,240 --> 02:30:45,960
Speaker 4: stronger in the future as it learns more about what

3010
02:30:46,240 --> 02:30:50,520
Speaker 4: this world actually is. Yeah, and beyond the promise of

3011
02:30:50,600 --> 02:30:54,840
Speaker 4: wearables to improve someone's life, this is the real project

3012
02:30:55,640 --> 02:30:57,760
Speaker 4: is strengthening AI through the use of these wearables.

3013
02:30:58,240 --> 02:30:59,840
Speaker 3: It's not actually about the consumer experience.

3014
02:31:00,000 --> 02:31:01,680
Speaker 2: It's about providing data to this machine.

3015
02:31:01,760 --> 02:31:06,240
Speaker 4: It's this like larger, larger, very like existential thing at

3016
02:31:06,320 --> 02:31:09,000
Speaker 4: least for these executives or like that. That's the thing

3017
02:31:09,040 --> 02:31:11,280
Speaker 4: that they are really emphasizing. Despite this being called the

3018
02:31:11,360 --> 02:31:12,760
Speaker 4: Consumer Electronics Showcase.

3019
02:31:12,920 --> 02:31:14,959
Speaker 2: And I think again, the best thing I can give

3020
02:31:14,959 --> 02:31:17,760
Speaker 2: you into how fundamentally as much money as there is

3021
02:31:17,840 --> 02:31:19,920
Speaker 2: behind this and as many grand words as they dress

3022
02:31:19,959 --> 02:31:24,480
Speaker 2: it up, and how intellectually bankrupt this whole tech movement

3023
02:31:24,680 --> 02:31:28,920
Speaker 2: is is that the third panel that I went to,

3024
02:31:29,480 --> 02:31:32,280
Speaker 2: which is about AI and creativity. One of the people

3025
02:31:32,320 --> 02:31:35,320
Speaker 2: on it was Jesse Damasek, who works for Diagio, which

3026
02:31:35,320 --> 02:31:36,920
Speaker 2: is like a company that imports all of your favorite

3027
02:31:36,959 --> 02:31:39,680
Speaker 2: whiskeys from Europe, right, like they sell all of the

3028
02:31:39,720 --> 02:31:42,359
Speaker 2: different like Scottish whiskies that have to get like imported

3029
02:31:42,400 --> 02:31:45,680
Speaker 2: and sold over here. And he was talking about they

3030
02:31:45,720 --> 02:31:48,880
Speaker 2: were talking about some of the specific examples they had of,

3031
02:31:49,080 --> 02:31:52,720
Speaker 2: like how AI has been used in advertising campaigns, and

3032
02:31:53,520 --> 02:31:56,800
Speaker 2: his exact statement was, you can leverage an artist and

3033
02:31:56,959 --> 02:31:59,840
Speaker 2: create infinite examples of their work, which he means you

3034
02:31:59,879 --> 02:32:01,840
Speaker 2: can find an artist that you like, sign a deal

3035
02:32:01,920 --> 02:32:04,240
Speaker 2: with them, and then have AI created infinite examples in

3036
02:32:04,280 --> 02:32:07,320
Speaker 2: their style. And so I camped afterwards and I was like,

3037
02:32:07,480 --> 02:32:09,680
Speaker 2: what were you specifically referring to, Like how does this

3038
02:32:09,760 --> 02:32:11,560
Speaker 2: actually work as a product. And the thing that he

3039
02:32:11,640 --> 02:32:13,640
Speaker 2: pointed out is that they have a couple of whiskey

3040
02:32:13,720 --> 02:32:17,520
Speaker 2: brands that they have done. You go in and you

3041
02:32:17,800 --> 02:32:20,440
Speaker 2: order a bottle and it's printed on site, and it

3042
02:32:20,600 --> 02:32:23,240
Speaker 2: uses AI to make an example in the style of

3043
02:32:23,360 --> 02:32:27,040
Speaker 2: this existing artist that they likes, work that's unique for you,

3044
02:32:27,920 --> 02:32:31,600
Speaker 2: uh huh. And he said it's been successful for them.

3045
02:32:31,800 --> 02:32:34,600
Speaker 2: Is it trillions of dollars? Three trillion dollars? No, I

3046
02:32:34,640 --> 02:32:36,440
Speaker 2: mean these are things that like, yeah, I guess I

3047
02:32:36,480 --> 02:32:38,840
Speaker 2: can see that maybe selling some Is it selling better

3048
02:32:38,879 --> 02:32:43,200
Speaker 2: than any other like branded whiskey than any other, Like

3049
02:32:43,240 --> 02:32:45,640
Speaker 2: you know, because whiskey companies, big ones will come out

3050
02:32:45,680 --> 02:32:48,280
Speaker 2: with like here's this edition every year or whatever, they'll

3051
02:32:48,320 --> 02:32:51,080
Speaker 2: have one special limited edition one. Is it selling better

3052
02:32:51,120 --> 02:32:53,320
Speaker 2: than that? We don't have that data, but it's one

3053
02:32:53,360 --> 02:32:54,680
Speaker 2: of those is like that's the idea.

3054
02:32:54,800 --> 02:32:54,959
Speaker 4: Huh.

3055
02:32:55,040 --> 02:32:58,240
Speaker 2: That's like we're talking about, like AI is supercharging creativity

3056
02:32:58,280 --> 02:33:01,720
Speaker 2: and letting us like think bolder and more creatively than

3057
02:33:01,879 --> 02:33:04,320
Speaker 2: we've ever thought before. And there were so many lines,

3058
02:33:04,840 --> 02:33:09,320
Speaker 2: oh in this fucking panel about like how we were

3059
02:33:09,520 --> 02:33:12,400
Speaker 2: like hyper charging what human beings can be and do,

3060
02:33:12,760 --> 02:33:15,160
Speaker 2: and like everyone should be really excited about what all

3061
02:33:15,240 --> 02:33:16,880
Speaker 2: this means for the future. One of the panelists that

3062
02:33:17,480 --> 02:33:20,560
Speaker 2: my best advice for you is let a thousand flowers bloom.

3063
02:33:21,240 --> 02:33:22,760
Speaker 2: I'm sorry that was in the panel right before, but

3064
02:33:22,840 --> 02:33:25,000
Speaker 2: it's still in all of this, Like it's all that

3065
02:33:25,080 --> 02:33:27,720
Speaker 2: seems it's all the same kind of shit that bleeds

3066
02:33:27,760 --> 02:33:29,640
Speaker 2: together and it's like, okay, what are your ideas? Well,

3067
02:33:30,080 --> 02:33:33,199
Speaker 2: we're having a legra kind of lie to manipulated engine

3068
02:33:33,760 --> 02:33:38,080
Speaker 2: and we've got the custom printed bottles for your whiskey.

3069
02:33:38,360 --> 02:33:42,880
Speaker 4: Well, you know, speaking of AI unleashing creativity. The last

3070
02:33:42,920 --> 02:33:46,520
Speaker 4: thing I'll talk about this episode is the worst booth

3071
02:33:47,120 --> 02:33:50,280
Speaker 4: at Showstoppers, which this year is kind of impressive because yeah,

3072
02:33:50,280 --> 02:33:53,240
Speaker 4: that's hard. It's it's mostly smart glasses and like three

3073
02:33:53,280 --> 02:33:56,360
Speaker 4: different pool cleaners. Yeah, and then some random software stuff

3074
02:33:56,360 --> 02:33:57,640
Speaker 4: and then a few things we saw last year.

3075
02:33:57,720 --> 02:34:00,760
Speaker 3: Sure, the worst worst booth. Robert.

3076
02:34:00,800 --> 02:34:03,640
Speaker 2: You you write books, right, I have in the past.

3077
02:34:04,200 --> 02:34:05,959
Speaker 2: What if in the future, what if.

3078
02:34:05,920 --> 02:34:10,200
Speaker 3: I told you that you could write three books in

3079
02:34:10,320 --> 02:34:11,520
Speaker 3: less than twenty four hours?

3080
02:34:11,680 --> 02:34:16,480
Speaker 4: God, thank you Garrison with us a writer without using cocaine.

3081
02:34:16,680 --> 02:34:19,879
Speaker 2: There's well, okay, now i'd say you're a liar.

3082
02:34:20,080 --> 02:34:21,360
Speaker 3: That's see a little bit harder.

3083
02:34:21,520 --> 02:34:23,640
Speaker 2: Yeah, but I thought you were trying to sell me

3084
02:34:23,720 --> 02:34:25,800
Speaker 2: some blow. And I was gonna say, when we turn

3085
02:34:25,879 --> 02:34:26,560
Speaker 2: the mic off.

3086
02:34:26,800 --> 02:34:30,279
Speaker 3: With the power of AI, you can write three books

3087
02:34:30,720 --> 02:34:32,600
Speaker 3: in six to twenty four hours.

3088
02:34:33,160 --> 02:34:36,600
Speaker 2: Wow, that's almost as fast as Stephen King Whinny was

3089
02:34:36,760 --> 02:34:38,520
Speaker 2: on co Yeah, there you get not quite.

3090
02:34:38,879 --> 02:34:40,199
Speaker 3: So there's this table.

3091
02:34:40,520 --> 02:34:42,280
Speaker 4: There was the least abouting table definitely in all the

3092
02:34:42,280 --> 02:34:44,440
Speaker 4: show'st operas, because it was it was filled with books

3093
02:34:44,879 --> 02:34:47,920
Speaker 4: with I will show you the covers here.

3094
02:34:48,400 --> 02:34:49,280
Speaker 3: They all look like this.

3095
02:34:50,600 --> 02:34:53,640
Speaker 2: They all oh, yeah, no those I mean I'm seeing

3096
02:34:53,760 --> 02:34:54,640
Speaker 2: blue and orange.

3097
02:34:54,840 --> 02:34:57,600
Speaker 3: It's colors in black. It's AI generated image.

3098
02:34:57,720 --> 02:35:01,160
Speaker 2: Like yeah, it's like every movie poster. Now, there's no

3099
02:35:01,360 --> 02:35:02,520
Speaker 2: art style behind it.

3100
02:35:02,640 --> 02:35:04,920
Speaker 4: It's very generic and they have like, you know, like

3101
02:35:05,360 --> 02:35:09,040
Speaker 4: the most generic font for the title, all in the

3102
02:35:09,080 --> 02:35:11,320
Speaker 4: same placement with some author's name at the bottom.

3103
02:35:11,560 --> 02:35:12,440
Speaker 3: They're very sleepy.

3104
02:35:12,520 --> 02:35:14,640
Speaker 4: You could you can find pictures of these covers if

3105
02:35:14,680 --> 02:35:19,000
Speaker 4: you Google or bing or you know, maybe chat gpt

3106
02:35:19,800 --> 02:35:20,600
Speaker 4: write three.

3107
02:35:20,520 --> 02:35:22,680
Speaker 3: Books in twenty four hours. You can see you can

3108
02:35:22,720 --> 02:35:23,200
Speaker 3: see the cover.

3109
02:35:23,440 --> 02:35:26,000
Speaker 2: Finally, I've always wanted to write three books, s Garrison.

3110
02:35:26,120 --> 02:35:30,360
Speaker 4: So what this is is an app that will help

3111
02:35:30,440 --> 02:35:32,880
Speaker 4: you write these books is not going to do it

3112
02:35:32,959 --> 02:35:35,160
Speaker 4: all for you. You still need to come up with

3113
02:35:35,240 --> 02:35:37,920
Speaker 4: the general idea of the story. The hard stuff and

3114
02:35:38,080 --> 02:35:41,080
Speaker 4: the characters really the difficult. The world building is always

3115
02:35:41,080 --> 02:35:41,720
Speaker 4: the hardest part.

3116
02:35:41,840 --> 02:35:43,440
Speaker 2: Everyone says most of the work on a book is

3117
02:35:43,480 --> 02:35:44,520
Speaker 2: done the first six hours.

3118
02:35:44,840 --> 02:35:47,760
Speaker 4: The world building is the really hard part. The easy

3119
02:35:47,840 --> 02:35:50,960
Speaker 4: part is just getting all those words down. So you

3120
02:35:51,160 --> 02:35:52,920
Speaker 4: need to create create some characters.

3121
02:35:53,000 --> 02:35:55,360
Speaker 2: Now, could you just have some other AI service create

3122
02:35:55,400 --> 02:35:56,400
Speaker 2: these characters maybe.

3123
02:35:56,600 --> 02:35:59,680
Speaker 4: But you should write maybe about a thousand words kind

3124
02:35:59,680 --> 02:36:02,279
Speaker 4: of like a story bible type thing or a character

3125
02:36:02,480 --> 02:36:05,960
Speaker 4: character outline and a general direction for the story, and

3126
02:36:06,120 --> 02:36:10,880
Speaker 4: you feed that into this app and then within hours

3127
02:36:11,000 --> 02:36:15,599
Speaker 4: it will generate not just one book, not just two books.

3128
02:36:16,240 --> 02:36:20,360
Speaker 3: But a trilogy, wow of books. And it's only a trilogy.

3129
02:36:20,560 --> 02:36:24,879
Speaker 3: You cannot generate a single book. The only come in trilogy.

3130
02:36:24,959 --> 02:36:27,520
Speaker 2: Look, I get it's George Lucas worked the same way, Garrison.

3131
02:36:27,879 --> 02:36:30,720
Speaker 2: Look you're telling me that the greatest machine mind and

3132
02:36:30,840 --> 02:36:33,040
Speaker 2: history wouldn't think the same as the greatest human mind

3133
02:36:33,080 --> 02:36:37,520
Speaker 2: in history. You know, I bet it'll independently createiz music too.

3134
02:36:37,920 --> 02:36:44,880
Speaker 4: It only comes in trilogies. And I now shall read

3135
02:36:45,160 --> 02:36:48,240
Speaker 4: a sample of this writing, and like dying to read.

3136
02:36:48,320 --> 02:36:51,039
Speaker 4: There there was maybe like five or six different books

3137
02:36:51,160 --> 02:36:53,000
Speaker 4: with many copies of the same book on this table,

3138
02:36:53,280 --> 02:36:56,040
Speaker 4: and I flipped through, maybe about half reading like a

3139
02:36:56,120 --> 02:36:58,840
Speaker 4: random page every you know, every like twenty fifty pages,

3140
02:36:59,280 --> 02:37:02,800
Speaker 4: and it's a it was it was it was too

3141
02:37:02,840 --> 02:37:05,360
Speaker 4: boring that I I I forgot to take pictures of

3142
02:37:05,760 --> 02:37:07,880
Speaker 4: these pages because I was just like it was a

3143
02:37:07,959 --> 02:37:10,880
Speaker 4: struggle to finish, to finish each page but luckily on

3144
02:37:10,920 --> 02:37:14,080
Speaker 4: the website they do have some sample pages. I talked

3145
02:37:14,080 --> 02:37:16,120
Speaker 4: to one of the one of the guys working at

3146
02:37:16,160 --> 02:37:18,400
Speaker 4: the booth, and he said that he tried this so

3147
02:37:18,520 --> 02:37:21,440
Speaker 4: we're like. He found the service and he first thought,

3148
02:37:21,480 --> 02:37:23,560
Speaker 4: you know, sure that this can't be any good. And

3149
02:37:23,920 --> 02:37:26,039
Speaker 4: when he when he generated his book, he was surprised

3150
02:37:26,160 --> 02:37:28,120
Speaker 4: how good the writing is. He said that he probably

3151
02:37:28,160 --> 02:37:32,640
Speaker 4: wouldn't win a Pulletzer or a Hugo two awards that

3152
02:37:32,680 --> 02:37:35,760
Speaker 4: he named, but he said it was pretty good.

3153
02:37:35,959 --> 02:37:40,000
Speaker 3: Right, This guy was so far of the most Tim

3154
02:37:40,080 --> 02:37:42,400
Speaker 3: Robinson character I met at the conference.

3155
02:37:42,520 --> 02:37:43,240
Speaker 2: Yeah, that's great.

3156
02:37:44,080 --> 02:37:47,800
Speaker 4: So Robert, you can pick the genre of of sample.

3157
02:37:47,879 --> 02:37:53,840
Speaker 4: We have a thriller book, a fantasy, mystery, science fiction, romance,

3158
02:37:54,080 --> 02:37:55,640
Speaker 4: or mainstream literary fiction.

3159
02:37:55,800 --> 02:37:57,160
Speaker 3: What what what genre do you want?

3160
02:37:57,240 --> 02:38:00,320
Speaker 2: I think I want science fiction, science fiction. I feel

3161
02:38:00,320 --> 02:38:03,760
Speaker 2: like there's the shortest line between parody and legitimate within

3162
02:38:03,840 --> 02:38:04,240
Speaker 2: sci fi.

3163
02:38:05,280 --> 02:38:08,760
Speaker 4: All right, this is from a book called I don't

3164
02:38:08,800 --> 02:38:11,920
Speaker 4: even want to say this one. I'm really curious now,

3165
02:38:12,480 --> 02:38:15,080
Speaker 4: palyimpsit orbit is what I'm going to say.

3166
02:38:15,080 --> 02:38:18,000
Speaker 2: Oh my god, they're strying to be Arthur C. Clark.

3167
02:38:18,080 --> 02:38:24,520
Speaker 3: It's called the pallimpsit orbit Chapter one, Desert Signals. Marrow

3168
02:38:24,640 --> 02:38:27,640
Speaker 3: woke with the taste of metal in her mouth and

3169
02:38:27,720 --> 02:38:30,760
Speaker 3: a pulse in her temples that felt one notch shy

3170
02:38:30,920 --> 02:38:34,200
Speaker 3: of a hangover. The ceiling above her was low and white,

3171
02:38:34,360 --> 02:38:37,680
Speaker 3: edged with soft events. A monitor over the bed scrolled

3172
02:38:37,760 --> 02:38:41,880
Speaker 3: green numbers in a stylized outline of her lungs thin air.

3173
02:38:42,360 --> 02:38:48,160
Speaker 3: She remembered five thousand meters the Atacama sky, somewhere above

3174
02:38:48,320 --> 02:38:53,160
Speaker 3: concrete and glass. Good morning, Doctor Allison. A calm baritone

3175
02:38:53,800 --> 02:38:57,600
Speaker 3: house the head. She turned toward the voice. A man

3176
02:38:57,760 --> 02:39:00,960
Speaker 3: in the doorway wore a slate blue, a clinic jumper,

3177
02:39:01,280 --> 02:39:03,959
Speaker 3: and a badge that caught the desert light leaking through

3178
02:39:03,959 --> 02:39:08,320
Speaker 3: the polarized glass, dark curls threaded with gray laugh lines

3179
02:39:08,360 --> 02:39:11,800
Speaker 3: that didn't quite match the tiredness around his eyes. Hey man,

3180
02:39:12,040 --> 02:39:13,920
Speaker 3: are you good? Yeah, go me to keep you going.

3181
02:39:14,280 --> 02:39:17,160
Speaker 2: I you know, it's it's again. It's like the it's

3182
02:39:17,200 --> 02:39:20,000
Speaker 2: an imitation of like a story. Like it's a scene,

3183
02:39:20,080 --> 02:39:23,520
Speaker 2: and it's a scene with details to describe people. But

3184
02:39:23,640 --> 02:39:26,560
Speaker 2: there's not like you would ideally I would have something

3185
02:39:26,600 --> 02:39:28,520
Speaker 2: of an idea of like what the thrust of the

3186
02:39:28,600 --> 02:39:32,440
Speaker 2: story is going to be like, for example, Bilbo Baggins

3187
02:39:32,560 --> 02:39:34,800
Speaker 2: was a hobbit who lived in an house underhill or

3188
02:39:34,879 --> 02:39:37,640
Speaker 2: something like that. Forget the exact wording of that, but like,

3189
02:39:39,120 --> 02:39:41,720
Speaker 2: I you know, it makes sense. It sounds like it

3190
02:39:42,000 --> 02:39:43,959
Speaker 2: sounds remarkably like bad.

3191
02:39:44,160 --> 02:39:44,200
Speaker 3: No.

3192
02:39:44,320 --> 02:39:46,640
Speaker 2: I don't want to be an insult nano remo writers

3193
02:39:46,920 --> 02:39:49,560
Speaker 2: that much. It just it just it sounds like a

3194
02:39:49,640 --> 02:39:53,080
Speaker 2: story that was generated based on a belief that, like, well,

3195
02:39:53,080 --> 02:39:55,200
Speaker 2: if we can just like describe enough stuff and use

3196
02:39:55,280 --> 02:39:59,200
Speaker 2: enough words to describe a scene, then that counts as plot. Yeah,

3197
02:39:59,280 --> 02:40:01,959
Speaker 2: I mean, and character, which we don't have any of yet.

3198
02:40:02,120 --> 02:40:05,400
Speaker 4: It's all of it was this very generic, empty like

3199
02:40:05,720 --> 02:40:08,880
Speaker 4: stuff that's very very common. And if you ever have

3200
02:40:08,959 --> 02:40:10,920
Speaker 4: to read through a lot of like AI writing, whether

3201
02:40:11,040 --> 02:40:12,880
Speaker 4: for work or let's say, you know, you work in

3202
02:40:12,959 --> 02:40:14,960
Speaker 4: a college so you have students submitting this stuff, or

3203
02:40:15,040 --> 02:40:18,120
Speaker 4: you for some reason are online and you feel obligated

3204
02:40:18,200 --> 02:40:19,920
Speaker 4: to look at the worst parts of the world like

3205
02:40:20,160 --> 02:40:20,840
Speaker 4: what me and Robert do.

3206
02:40:20,959 --> 02:40:22,959
Speaker 3: Sometimes this is all feels very familiar.

3207
02:40:23,160 --> 02:40:26,080
Speaker 4: I'll read one other like paragraph from a different book,

3208
02:40:26,600 --> 02:40:30,119
Speaker 4: a thriller called The Helix Files, Oh Good, obviously part

3209
02:40:30,160 --> 02:40:32,440
Speaker 4: of a trilogy so who knows where these stories go

3210
02:40:32,560 --> 02:40:35,920
Speaker 4: over the course of three books. Quote the car heater

3211
02:40:36,080 --> 02:40:39,560
Speaker 4: had died ten minutes ago, cold leaked through the floorboards

3212
02:40:39,640 --> 02:40:44,000
Speaker 4: into Helix's boots. Outside the Eastern block industrial belt, slid

3213
02:40:44,160 --> 02:40:48,160
Speaker 4: past and gray slabs and rusted steel, wet concrete period,

3214
02:40:48,720 --> 02:40:53,520
Speaker 4: diesel period, a stray dog nosing trash heap outside the

3215
02:40:53,600 --> 02:40:57,240
Speaker 4: road first, slick with drizzle. So it's something that, right, Yeah,

3216
02:40:57,240 --> 02:40:59,360
Speaker 4: there's a lot of this sort of like quick punchy

3217
02:40:59,440 --> 02:41:02,680
Speaker 4: sentences common in AI writing at the moment, wet concrete,

3218
02:41:02,760 --> 02:41:04,520
Speaker 4: you know, with a period, but like a lot of

3219
02:41:04,600 --> 02:41:07,400
Speaker 4: this type of stuff you see, you see in a

3220
02:41:07,480 --> 02:41:08,400
Speaker 4: AI writing you.

3221
02:41:08,440 --> 02:41:10,640
Speaker 2: Have a lot of a lot a lot of character

3222
02:41:10,760 --> 02:41:12,320
Speaker 2: and plot, a lot a lot of.

3223
02:41:12,360 --> 02:41:15,280
Speaker 4: Like m dash sentences. As I was flipping through these books,

3224
02:41:15,320 --> 02:41:16,880
Speaker 4: I was like, okay, ye, like I see what they're doing.

3225
02:41:16,920 --> 02:41:17,200
Speaker 2: I see.

3226
02:41:17,440 --> 02:41:17,600
Speaker 3: Yeah.

3227
02:41:17,959 --> 02:41:20,000
Speaker 4: But but now, if if you want to write a

3228
02:41:20,200 --> 02:41:22,440
Speaker 4: quote unquote write a trilogy of books, you can pay

3229
02:41:22,480 --> 02:41:25,120
Speaker 4: the money and and within six hours you will have

3230
02:41:25,200 --> 02:41:28,960
Speaker 4: a trilogy. So what real least makes me feel optimistic

3231
02:41:28,959 --> 02:41:32,040
Speaker 4: about CES is the way that creativity is being democratized.

3232
02:41:32,320 --> 02:41:35,199
Speaker 3: It used to be that no ordinary person could write

3233
02:41:35,200 --> 02:41:35,520
Speaker 3: a book.

3234
02:41:35,840 --> 02:41:37,560
Speaker 2: You had to have a story and be some sort

3235
02:41:37,560 --> 02:41:39,720
Speaker 2: of freak at Oxford maybe like a you need like

3236
02:41:39,760 --> 02:41:44,359
Speaker 2: a pencil, maybe a keyboard. Ye, possible, barriers, it's not possible.

3237
02:41:44,440 --> 02:41:47,560
Speaker 4: And now luckily through AI, as long as you have

3238
02:41:47,760 --> 02:41:50,360
Speaker 4: you know, sub money to pay a subscription service and

3239
02:41:50,480 --> 02:41:51,199
Speaker 4: a computer.

3240
02:41:51,120 --> 02:41:54,199
Speaker 2: And VC fundraising and subsidizing of service.

3241
02:41:54,040 --> 02:41:57,600
Speaker 4: Ideally vcsh Yeah, then you too can be an author

3242
02:41:57,680 --> 02:41:58,360
Speaker 4: of a trilogy.

3243
02:41:59,400 --> 02:42:02,320
Speaker 2: Well, that's that's my plan for the future. I guess

3244
02:42:02,360 --> 02:42:05,240
Speaker 2: I want to end by talking about the second to

3245
02:42:05,280 --> 02:42:08,960
Speaker 2: the last panel that I sat through, which was at

3246
02:42:09,000 --> 02:42:12,320
Speaker 2: the AI house and was I think yet again this

3247
02:42:12,440 --> 02:42:14,440
Speaker 2: was another one that was about There were largely talking

3248
02:42:14,440 --> 02:42:16,880
Speaker 2: about ethics in this one, like AI and ethics and

3249
02:42:17,080 --> 02:42:21,240
Speaker 2: like what that actually means? And Eric Pace, who on

3250
02:42:21,360 --> 02:42:24,680
Speaker 2: the slide lajer City works at company but it reassuring, Yeah,

3251
02:42:24,840 --> 02:42:26,840
Speaker 2: reassuring who works at Cox Media which is like a

3252
02:42:26,879 --> 02:42:30,960
Speaker 2: big media company, yes, based on Georgia. And he had

3253
02:42:31,120 --> 02:42:33,320
Speaker 2: a couple of statements that were interested in me. He

3254
02:42:33,400 --> 02:42:35,280
Speaker 2: had one where he said that like it's kind of

3255
02:42:35,360 --> 02:42:41,400
Speaker 2: incumbent upon people to develop an ethical rubric for how

3256
02:42:41,560 --> 02:42:44,360
Speaker 2: and what sources and what AI is. They trust and

3257
02:42:44,520 --> 02:42:49,440
Speaker 2: why and figure that out. And I think the what

3258
02:42:49,600 --> 02:42:52,200
Speaker 2: I inferred was that like, because it's not going to

3259
02:42:52,240 --> 02:42:54,800
Speaker 2: get done by anyone else, and it kind of became

3260
02:42:54,800 --> 02:42:56,480
Speaker 2: include to me later. I think it's he also doesn't

3261
02:42:56,520 --> 02:42:58,320
Speaker 2: want anyone else to do it. He wants this to

3262
02:42:58,360 --> 02:43:00,000
Speaker 2: be an individual project where you have to kind of

3263
02:43:00,120 --> 02:43:03,040
Speaker 2: figure that out for yourself. I was kind of unsure

3264
02:43:03,080 --> 02:43:04,880
Speaker 2: as to whether he was the evil or just the

3265
02:43:04,959 --> 02:43:07,880
Speaker 2: pragmatic version of this, because the pragmatic version is like, literally,

3266
02:43:08,000 --> 02:43:09,760
Speaker 2: no one's going to restrict this stuff. You just have

3267
02:43:09,879 --> 02:43:13,039
Speaker 2: to try to get by right, which is maybe accurate.

3268
02:43:13,760 --> 02:43:15,800
Speaker 2: But there was a really interesting interaction on this panel.

3269
02:43:15,840 --> 02:43:17,840
Speaker 2: One of the other people there was doctor Martin Clancy,

3270
02:43:17,879 --> 02:43:21,840
Speaker 2: who was an Irish academic and a musician who was

3271
02:43:22,040 --> 02:43:24,400
Speaker 2: on the panel again to talk about like creativity and ethics,

3272
02:43:24,600 --> 02:43:27,120
Speaker 2: and made a comment that I found was really interesting

3273
02:43:27,200 --> 02:43:28,840
Speaker 2: and I don't know, I wouldn't say I agree or

3274
02:43:28,840 --> 02:43:30,560
Speaker 2: disagree with it, but I found it really interesting where

3275
02:43:30,560 --> 02:43:34,160
Speaker 2: he was like, actually, I'm not at all concerned comparatively

3276
02:43:34,400 --> 02:43:37,640
Speaker 2: about having an AI give me medical advice. I'm deeply

3277
02:43:37,760 --> 02:43:40,920
Speaker 2: concerned about letting an AI recommend music or movies to me,

3278
02:43:41,360 --> 02:43:43,240
Speaker 2: which I found a really interesting attitude and kind of

3279
02:43:43,240 --> 02:43:45,680
Speaker 2: a thought provoking Yeah, that is interesting, which was immediately

3280
02:43:45,720 --> 02:43:48,280
Speaker 2: spoiled by Eric Pace going like, well, I don't see

3281
02:43:48,320 --> 02:43:50,320
Speaker 2: why anyone would have an issue with an AI doctor.

3282
02:43:50,400 --> 02:43:52,480
Speaker 2: Doctors get things wrong all the time. And then he

3283
02:43:52,640 --> 02:43:56,120
Speaker 2: just like let that statement set. I have heard this

3284
02:43:56,200 --> 02:44:00,080
Speaker 2: as before, and AIS have a lot more data. And

3285
02:44:00,160 --> 02:44:01,960
Speaker 2: he ended it by saying, because everyone asked like, what

3286
02:44:02,000 --> 02:44:03,720
Speaker 2: were their big wins of the year, and his big

3287
02:44:03,800 --> 02:44:07,360
Speaker 2: win was that his wife hated chat ept and didn't

3288
02:44:07,360 --> 02:44:08,960
Speaker 2: want to use it, and he convinced her to use

3289
02:44:09,000 --> 02:44:11,400
Speaker 2: it to plan their vacation. It kind of sounded like

3290
02:44:11,440 --> 02:44:13,320
Speaker 2: he bullied her into it, but that was his big

3291
02:44:13,400 --> 02:44:15,119
Speaker 2: win for the year. I didn't like him.

3292
02:44:15,640 --> 02:44:16,760
Speaker 3: My win is I got.

3293
02:44:18,320 --> 02:44:22,080
Speaker 2: My wife into using a chat bot plan special time

3294
02:44:22,360 --> 02:44:25,360
Speaker 2: vacationing together because we're not creative enough to figure out

3295
02:44:25,400 --> 02:44:26,920
Speaker 2: how to go on a fucking trip.

3296
02:44:27,040 --> 02:44:28,000
Speaker 3: Hashtag AI win.

3297
02:44:28,280 --> 02:44:31,240
Speaker 2: Jesus, I don't know anyway. I think that's good for

3298
02:44:31,520 --> 02:44:34,280
Speaker 2: episode one from cees Come Back next week, where we'll

3299
02:44:34,320 --> 02:44:36,680
Speaker 2: all have more or listen to better offline, where Ed

3300
02:44:36,760 --> 02:44:39,640
Speaker 2: will have just a shocking amount of content from a

3301
02:44:39,720 --> 02:44:44,320
Speaker 2: lot of the relatively few and constantly shrinking stable of

3302
02:44:44,400 --> 02:44:46,320
Speaker 2: sane people reporting on technology.

3303
02:44:46,560 --> 02:44:47,160
Speaker 5: See next week.

3304
02:45:02,400 --> 02:45:06,480
Speaker 4: This is It could Happen Here Executive Disorder, our usually

3305
02:45:06,600 --> 02:45:08,960
Speaker 4: weekly newscast covering what's happening in the White House, the

3306
02:45:09,040 --> 02:45:11,800
Speaker 4: crumbling world, and what it means for you. I'm Garrisondeo's Dam,

3307
02:45:11,879 --> 02:45:16,160
Speaker 4: joined by Mia Wong, James Stout, and Sophie Lichterman. This episode,

3308
02:45:16,200 --> 02:45:19,959
Speaker 4: we're covering the events from the end of December.

3309
02:45:19,640 --> 02:45:24,840
Speaker 3: To the first week of January. Yeah, and the events

3310
02:45:25,080 --> 02:45:25,760
Speaker 3: are not good.

3311
02:45:26,000 --> 02:45:30,480
Speaker 1: Did not start off to a slow start whatsoever. Did

3312
02:45:30,600 --> 02:45:32,600
Speaker 1: not ease into the new year.

3313
02:45:33,800 --> 02:45:36,920
Speaker 3: Yeah, this might be the worst, just the worst first

3314
02:45:37,000 --> 02:45:39,040
Speaker 3: week of a year I can remember it. I remember

3315
02:45:39,120 --> 02:45:40,000
Speaker 3: twenty twenty.

3316
02:45:41,760 --> 02:45:43,320
Speaker 5: Worst year ever potentially maya.

3317
02:45:43,600 --> 02:45:46,959
Speaker 3: I long for the halcyon days in which twenty twenty

3318
02:45:47,120 --> 02:45:48,600
Speaker 3: was the worst year we'd ever experienced.

3319
02:45:48,920 --> 02:45:51,760
Speaker 5: I started twenty twenty cycling around Rwanda, and I had

3320
02:45:51,760 --> 02:45:54,760
Speaker 5: a great start twenty twenty. This has not been a

3321
02:45:54,800 --> 02:45:55,480
Speaker 5: great start.

3322
02:45:55,320 --> 02:45:59,560
Speaker 3: But no, Yeah, let's talk about the event that happened

3323
02:46:00,120 --> 02:46:02,680
Speaker 3: several hours before we started recording this. We're recording this

3324
02:46:02,959 --> 02:46:06,680
Speaker 3: again on Wednesday, January seventh, So I don't think there's

3325
02:46:06,680 --> 02:46:10,039
Speaker 3: gonna be any new information about this, but yeah, hours

3326
02:46:10,040 --> 02:46:13,520
Speaker 3: before we started recording, ICE shot and killed a woman

3327
02:46:13,760 --> 02:46:17,360
Speaker 3: in her car and a routine anti ICE action in Minneapolis.

3328
02:46:18,360 --> 02:46:23,520
Speaker 3: From the videos, these protests are identical to thousands of

3329
02:46:23,640 --> 02:46:26,480
Speaker 3: other small scale protests against ICE raids, where pissed off

3330
02:46:26,560 --> 02:46:29,800
Speaker 3: locals blow whistles and scream at the ICE agents who

3331
02:46:29,840 --> 02:46:31,920
Speaker 3: carry off their friends and family in the dead of night.

3332
02:46:32,800 --> 02:46:36,400
Speaker 3: The video shows ICE agents approaching a stopped car. One

3333
02:46:36,520 --> 02:46:40,400
Speaker 3: agent tries to open the front car door elle screaming

3334
02:46:40,480 --> 02:46:43,920
Speaker 3: get the fuck out, while another walks in front of

3335
02:46:44,040 --> 02:46:46,040
Speaker 3: the car as it backs up to pull away from

3336
02:46:46,120 --> 02:46:50,240
Speaker 3: the scene. As the vehicle pulls forward to drive away,

3337
02:46:50,800 --> 02:46:53,400
Speaker 3: the ICE agent pulls out his gun and shoots the driver.

3338
02:46:54,160 --> 02:46:57,240
Speaker 3: This is the agent's immediate response. There is no verbal warning.

3339
02:46:57,360 --> 02:47:00,760
Speaker 3: He simply pulls out the gun and shoots. There are

3340
02:47:00,920 --> 02:47:03,400
Speaker 3: videos out there you will see. I have seen three

3341
02:47:03,440 --> 02:47:06,240
Speaker 3: angles of it so far. The videos are graphic and

3342
02:47:06,920 --> 02:47:09,920
Speaker 3: gut wrenching, as we'll get into in a second, so

3343
02:47:11,520 --> 02:47:13,600
Speaker 3: be warned if you are trying to watch them, you

3344
02:47:13,680 --> 02:47:17,840
Speaker 3: are just going to see Ice murder a woman. The agent,

3345
02:47:18,640 --> 02:47:22,000
Speaker 3: I can fairly definitively say, was in absolutely no danger. Again,

3346
02:47:22,040 --> 02:47:25,520
Speaker 3: he simply steps aside from the slow moving vehicle. He

3347
02:47:25,640 --> 02:47:29,280
Speaker 3: has enough time to take a shot and then step

3348
02:47:29,360 --> 02:47:33,000
Speaker 3: aside and take two more shots. The video is just

3349
02:47:33,400 --> 02:47:36,840
Speaker 3: heart wrenching. The closest angle we have, the woman recording

3350
02:47:36,879 --> 02:47:39,400
Speaker 3: the video is screaming no as the agent pulls out

3351
02:47:39,440 --> 02:47:42,640
Speaker 3: his gun and shoots. There's another video that shows there

3352
02:47:42,720 --> 02:47:45,040
Speaker 3: is a passenger inside of the van, and it just

3353
02:47:45,120 --> 02:47:48,320
Speaker 3: sows You're sitting on the ground sobbing and saying, they

3354
02:47:48,440 --> 02:47:50,160
Speaker 3: killed my wife. I don't know what to do. It

3355
02:47:50,280 --> 02:47:51,800
Speaker 3: is one of the most heart wrenching things I have

3356
02:47:51,840 --> 02:47:55,760
Speaker 3: ever seen. Having watched the videos of both, it is

3357
02:47:55,959 --> 02:48:00,920
Speaker 3: eerily similar to ICE's murder of Silvero Viegas Gonzales in

3358
02:48:01,080 --> 02:48:04,280
Speaker 3: Chicago in September, who was also killed while attempting to

3359
02:48:04,360 --> 02:48:07,240
Speaker 3: drive away from ICE agents, and who the DHS has

3360
02:48:07,440 --> 02:48:11,480
Speaker 3: likewise accused of committing acts of domestic terrorism by attempting

3361
02:48:11,520 --> 02:48:14,320
Speaker 3: to ram agents. It is clear from both videos so

3362
02:48:14,400 --> 02:48:16,160
Speaker 3: that is not what was going on. Both these people

3363
02:48:16,200 --> 02:48:20,240
Speaker 3: were simply trying to pull away from the ICE agents,

3364
02:48:21,160 --> 02:48:23,840
Speaker 3: the other shooting that. This is very similar to that

3365
02:48:23,879 --> 02:48:26,680
Speaker 3: I think has been getting more press comparisons, even though

3366
02:48:27,640 --> 02:48:31,040
Speaker 3: in terms of what actually happens in the video that

3367
02:48:31,120 --> 02:48:34,680
Speaker 3: we have, I think it's closer to the actual murder.

3368
02:48:35,440 --> 02:48:37,920
Speaker 3: But it is also very, very similar to an incident

3369
02:48:38,000 --> 02:48:40,720
Speaker 3: in Chicago last year where Border Patrol agents hunted and

3370
02:48:40,840 --> 02:48:45,360
Speaker 3: then shot Mary mar Martinez, who thankfully survived but was

3371
02:48:45,520 --> 02:48:48,400
Speaker 3: charged by the federal government for domestic terrorism, a case

3372
02:48:48,480 --> 02:48:54,199
Speaker 3: which thankfully completely collapsed after, among other things, the contents

3373
02:48:54,200 --> 02:48:57,680
Speaker 3: of a group chat were released in which Charles ExHAM,

3374
02:48:57,720 --> 02:49:00,200
Speaker 3: who's the agent who shot her, was bragging it about

3375
02:49:00,240 --> 02:49:04,280
Speaker 3: shooting the woman in Chicago. So that's I think a

3376
02:49:04,400 --> 02:49:08,160
Speaker 3: valuable insight into the mindset of these people is that

3377
02:49:08,240 --> 02:49:09,960
Speaker 3: when one of these went to trial, we got a

3378
02:49:10,040 --> 02:49:12,879
Speaker 3: group chat where the agent who shot a different woman

3379
02:49:12,920 --> 02:49:15,880
Speaker 3: in a very similar situation was bragging about it. In

3380
02:49:15,959 --> 02:49:18,640
Speaker 3: the immediate wake of this Trump post untruth social that

3381
02:49:18,760 --> 02:49:22,520
Speaker 3: the driver in Minneapolis quote willfully and viciously ran over

3382
02:49:22,600 --> 02:49:24,680
Speaker 3: the ice officer who seems to have shot her in

3383
02:49:24,720 --> 02:49:28,440
Speaker 3: self defense end quote. And then he then links to

3384
02:49:29,440 --> 02:49:33,560
Speaker 3: a video which is a bad angle of the shooting

3385
02:49:33,920 --> 02:49:35,960
Speaker 3: that also does not show what he claims at all,

3386
02:49:36,080 --> 02:49:40,280
Speaker 3: because he is simply from the video footage we have available.

3387
02:49:40,360 --> 02:49:41,360
Speaker 3: This is simply a lie.

3388
02:49:42,080 --> 02:49:45,600
Speaker 5: Yeah, after the person was shot, that vehicle continued moving

3389
02:49:45,640 --> 02:49:48,920
Speaker 5: forward and struck a parked car. That is not unusual

3390
02:49:49,840 --> 02:49:52,039
Speaker 5: in the case when somebody's shot driving a vehicle, right

3391
02:49:52,120 --> 02:49:55,600
Speaker 5: like some forward you some forward onto the pedals. Yeah.

3392
02:49:56,120 --> 02:49:59,160
Speaker 3: There's two things I want to emphasize here. One is

3393
02:49:59,240 --> 02:50:03,560
Speaker 3: that the DHS always releases statements. This is the third

3394
02:50:03,680 --> 02:50:07,520
Speaker 3: shooting like this that we've had since these massive immigration

3395
02:50:07,680 --> 02:50:11,360
Speaker 3: rays began. Every single time they release the statements where

3396
02:50:11,400 --> 02:50:15,480
Speaker 3: they accuse the driver of intentionally attempting to ram the agent.

3397
02:50:15,680 --> 02:50:18,440
Speaker 3: It has never been true. We have seen three attempts

3398
02:50:18,480 --> 02:50:20,119
Speaker 3: of this, We have seen the videos and three attempts

3399
02:50:20,120 --> 02:50:22,760
Speaker 3: of this. It has been false every single time. Major

3400
02:50:22,840 --> 02:50:28,240
Speaker 3: media outlets continue to just post the statements without any

3401
02:50:28,520 --> 02:50:31,400
Speaker 3: of the context. That these people have been lying about

3402
02:50:31,400 --> 02:50:34,280
Speaker 3: this every single time. And that The second thing that

3403
02:50:34,360 --> 02:50:37,400
Speaker 3: I want to emphasize about this is how normal of

3404
02:50:37,480 --> 02:50:41,400
Speaker 3: a protest this was. This is just a completely ordinary

3405
02:50:41,440 --> 02:50:45,040
Speaker 3: ICE action. It looks like every other anti ICE action

3406
02:50:45,520 --> 02:50:47,920
Speaker 3: I have ever seen. It wasn't a particularly large one.

3407
02:50:48,000 --> 02:50:49,800
Speaker 3: It was just a group of people who were on

3408
02:50:49,920 --> 02:50:53,199
Speaker 3: the street. In the video where the woman is sobbing

3409
02:50:53,240 --> 02:50:55,680
Speaker 3: about her wife. She says that they pulled up to

3410
02:50:55,720 --> 02:50:56,680
Speaker 3: film the ICE agents.

3411
02:50:57,520 --> 02:50:57,720
Speaker 2: Yeah.

3412
02:50:58,400 --> 02:51:02,800
Speaker 3: Yeah, it's heart wrenching and lots of protests. Greg Bavino,

3413
02:51:02,879 --> 02:51:06,560
Speaker 3: whose influential word patrol officer we have talked about many

3414
02:51:06,640 --> 02:51:09,320
Speaker 3: times on the show, was at the scene. And it's

3415
02:51:09,320 --> 02:51:12,200
Speaker 3: also work noting this comes within twenty four hours of

3416
02:51:12,240 --> 02:51:16,120
Speaker 3: the White House announcing their giant operation in Minneapolis to

3417
02:51:16,160 --> 02:51:17,720
Speaker 3: deploy two thousand federal agents.

3418
02:51:18,320 --> 02:51:21,199
Speaker 4: This was specifically a new surge that started on Tuesday,

3419
02:51:21,560 --> 02:51:24,840
Speaker 4: January sixth, and yeah, literally less than twenty four hours

3420
02:51:24,920 --> 02:51:27,560
Speaker 4: after this surge, Ice killed a woman.

3421
02:51:28,440 --> 02:51:28,680
Speaker 5: Yeah.

3422
02:51:29,640 --> 02:51:32,200
Speaker 3: The thing I want to end on in the of

3423
02:51:32,320 --> 02:51:34,240
Speaker 3: the immediate analysis before we talk a bit about the

3424
02:51:34,320 --> 02:51:39,520
Speaker 3: protests that have been happening, is that absolutely hauntingly, today's

3425
02:51:39,560 --> 02:51:42,160
Speaker 3: murder took place less than a mile away from where

3426
02:51:42,320 --> 02:51:48,119
Speaker 3: police officer Derek Chauvin murder George Floyd, which is Yeah,

3427
02:51:48,480 --> 02:51:51,360
Speaker 3: it is as clearer demonstration of the continuity of the

3428
02:51:51,480 --> 02:51:55,480
Speaker 3: violence of the American state as can possibly be produced. Yeah,

3429
02:51:56,400 --> 02:51:59,400
Speaker 3: and I think the other pattern that we've seen specifically

3430
02:51:59,440 --> 02:52:03,400
Speaker 3: in these prot just is pulling weapons on people constantly,

3431
02:52:04,200 --> 02:52:09,080
Speaker 3: even more so than normal police would. And you know,

3432
02:52:09,240 --> 02:52:13,000
Speaker 3: I remember a lot of people I've talked you in Chicago.

3433
02:52:13,040 --> 02:52:14,360
Speaker 3: One of the things that they said is that, yeah,

3434
02:52:14,400 --> 02:52:16,080
Speaker 3: this is if they're eventually going to shoot someone, and

3435
02:52:16,080 --> 02:52:19,120
Speaker 3: they've now shot a third person in the course of

3436
02:52:19,200 --> 02:52:23,240
Speaker 3: these operations, and presumably as long as they're allowed to continue,

3437
02:52:23,280 --> 02:52:26,320
Speaker 3: they will probably shoot more people. Because one of the

3438
02:52:26,360 --> 02:52:28,240
Speaker 3: things that's the best apparent from this video is that

3439
02:52:28,440 --> 02:52:31,800
Speaker 3: this is the sort of muscle memory reaction that they

3440
02:52:31,920 --> 02:52:33,640
Speaker 3: have to being in front of a car that's moving

3441
02:52:33,680 --> 02:52:36,960
Speaker 3: towards them. There's no thinking, there's no thought. They just

3442
02:52:37,320 --> 02:52:38,280
Speaker 3: pull out the gun. Shoot.

3443
02:52:38,480 --> 02:52:38,640
Speaker 5: Yeah.

3444
02:52:38,640 --> 02:52:41,480
Speaker 4: I mean he's shooting the same time he's moving sideways

3445
02:52:41,640 --> 02:52:43,480
Speaker 4: out of the way of the of the car.

3446
02:52:43,640 --> 02:52:43,840
Speaker 5: Yeah.

3447
02:52:43,840 --> 02:52:45,560
Speaker 4: He just as easily could have not fired, and it

3448
02:52:45,560 --> 02:52:48,000
Speaker 4: would have had the same result. He just chose to fire.

3449
02:52:48,440 --> 02:52:48,640
Speaker 5: Yeah.

3450
02:52:49,360 --> 02:52:52,600
Speaker 3: A little over an hour after the shooting, Mayor Jacob

3451
02:52:52,640 --> 02:52:55,960
Speaker 3: Afray of Minneapolis gave a press conference where he said

3452
02:52:56,120 --> 02:52:57,120
Speaker 3: this to Ice.

3453
02:52:57,680 --> 02:53:01,640
Speaker 9: There's little I can say again that'll make this situation better.

3454
02:53:02,040 --> 02:53:05,360
Speaker 9: But I do have a message for our community, for

3455
02:53:05,480 --> 02:53:11,240
Speaker 9: a city, and I have a message for Ice to Ice,

3456
02:53:12,400 --> 02:53:16,000
Speaker 9: get the fuck out of Minneapolis. We do not want

3457
02:53:16,120 --> 02:53:20,280
Speaker 9: you here. Your stated reason for being in this city

3458
02:53:20,400 --> 02:53:22,760
Speaker 9: is to create some kind of safety, and you are

3459
02:53:22,840 --> 02:53:28,040
Speaker 9: doing exactly the opposite. People are being hurt, Families are

3460
02:53:28,120 --> 02:53:32,920
Speaker 9: being ripped apart. Long term Minneapolis residents that have contributed

3461
02:53:33,000 --> 02:53:36,560
Speaker 9: so greatly to our city, to our culture, to our

3462
02:53:36,640 --> 02:53:42,160
Speaker 9: economy are being terrorized. And now somebody is dead. That's

3463
02:53:42,240 --> 02:53:47,600
Speaker 9: on you, and it's also on you to leave. It's

3464
02:53:47,640 --> 02:53:51,920
Speaker 9: on you to make sure that further damage, further loss

3465
02:53:52,000 --> 02:53:57,840
Speaker 9: of life and injury is not done. We're going to

3466
02:53:57,879 --> 02:54:00,800
Speaker 9: be working towards justice as quickly as we possibly ken

3467
02:54:00,959 --> 02:54:01,360
Speaker 9: right now.

3468
02:54:02,000 --> 02:54:03,520
Speaker 5: Justice is what we've all got to get.

3469
02:54:04,240 --> 02:54:07,360
Speaker 3: Fray, I think is just is reflecting the sentiments of

3470
02:54:07,400 --> 02:54:11,080
Speaker 3: the city right now. There are immediate protests in I mean,

3471
02:54:11,240 --> 02:54:13,960
Speaker 3: within minutes of the shooting, there were people showing up.

3472
02:54:14,360 --> 02:54:17,440
Speaker 3: Protests have been intensifying, crowds have got tear guest, like

3473
02:54:17,640 --> 02:54:18,680
Speaker 3: thirty minutes.

3474
02:54:18,360 --> 02:54:19,120
Speaker 2: After the shooting.

3475
02:54:19,440 --> 02:54:22,160
Speaker 3: Yeah, yeah, I mean, and Bovino is there are pictures

3476
02:54:22,200 --> 02:54:24,880
Speaker 3: of him on scene while these protesters are sort of

3477
02:54:25,560 --> 02:54:29,600
Speaker 3: ramping up. So we will see what happens in Minneapolis

3478
02:54:29,680 --> 02:54:30,480
Speaker 3: in the coming days.

3479
02:54:31,160 --> 02:54:34,360
Speaker 4: Solidarity protests have already be announced in Portland and Philadelphia. Yeah,

3480
02:54:34,400 --> 02:54:37,520
Speaker 4: and I'm sure more cities will follow in the coming hours.

3481
02:54:38,040 --> 02:54:38,240
Speaker 5: Yeah.

3482
02:54:38,879 --> 02:54:41,160
Speaker 3: Yeah, we'll give an update next week if more information

3483
02:54:41,280 --> 02:54:45,119
Speaker 3: becomes available. I think the events themselves are fairly clear,

3484
02:54:45,640 --> 02:54:48,000
Speaker 3: but we will see what the federal reaction to this

3485
02:54:48,200 --> 02:54:49,720
Speaker 3: is going to be and what the reaction on the

3486
02:54:49,760 --> 02:54:51,720
Speaker 3: ground is, and we will keep you updated.

3487
02:54:52,879 --> 02:54:55,080
Speaker 5: Let's let's have some mends here and we'll be back

3488
02:54:55,120 --> 02:55:10,760
Speaker 5: to talk without Benz Will. We are back with the

3489
02:55:10,920 --> 02:55:15,760
Speaker 5: second wild story of this week, which is that the

3490
02:55:17,000 --> 02:55:21,280
Speaker 5: United States, specially United States Special Forces, radio Caracas last

3491
02:55:21,320 --> 02:55:25,760
Speaker 5: week and kidnapped President Maduro, who was the president of Venezuela,

3492
02:55:25,840 --> 02:55:29,800
Speaker 5: and his wife. We covered the details of this in

3493
02:55:29,879 --> 02:55:31,640
Speaker 5: a whole episode, so I'm not going to go over

3494
02:55:31,640 --> 02:55:34,879
Speaker 5: in any great detail here, and that's already out. Trump

3495
02:55:35,000 --> 02:55:38,279
Speaker 5: kidnaps Venezuelan President Maduro is the name of that episode,

3496
02:55:38,320 --> 02:55:39,520
Speaker 5: so you should be got to find out the feed.

3497
02:55:40,040 --> 02:55:41,400
Speaker 3: He danced too close to the sun.

3498
02:55:42,040 --> 02:55:44,960
Speaker 5: I'm not so sure that dancing was the fact of it.

3499
02:55:45,520 --> 02:55:48,640
Speaker 5: I will only update that to say a couple of things.

3500
02:55:49,000 --> 02:55:50,760
Speaker 5: First of all, we know that there were in excess

3501
02:55:50,800 --> 02:55:54,640
Speaker 5: of fifty Venezuelan casualties, right, or I should say there

3502
02:55:54,680 --> 02:55:56,600
Speaker 5: were in excess of fifty casualties.

3503
02:55:56,760 --> 02:55:59,160
Speaker 3: Some of those would probably be Cubid subecurity force.

3504
02:55:59,040 --> 02:56:03,080
Speaker 5: US national in a military advice kind of a prestige posting,

3505
02:56:03,240 --> 02:56:07,000
Speaker 5: but military adviser kind of role. And that there were

3506
02:56:07,160 --> 02:56:09,800
Speaker 5: injuries to US troops we didn't hear about first. So

3507
02:56:10,000 --> 02:56:14,000
Speaker 5: US troops and US helicopters did sustain some damage, but

3508
02:56:14,480 --> 02:56:17,600
Speaker 5: there were no people killed on the United States side.

3509
02:56:18,600 --> 02:56:23,480
Speaker 5: And Donald Trump has truth that I'm just going to

3510
02:56:23,560 --> 02:56:26,600
Speaker 5: read this one. I think we can do our best

3511
02:56:26,640 --> 02:56:29,440
Speaker 5: to understand it. I am pleased to announce that interim

3512
02:56:29,480 --> 02:56:32,560
Speaker 5: authorities in Venezuela will be turning over between thirty and

3513
02:56:32,680 --> 02:56:36,920
Speaker 5: fifty million barrels of high quality, sanctioned oil to the

3514
02:56:37,040 --> 02:56:40,080
Speaker 5: United States of America. This oil will be sold at

3515
02:56:40,080 --> 02:56:42,720
Speaker 5: its market price, and that money will be controlled by me,

3516
02:56:43,120 --> 02:56:45,960
Speaker 5: as President of the United States of America, to ensure

3517
02:56:46,000 --> 02:56:48,640
Speaker 5: that it's used to benefit the people of Venezuela and

3518
02:56:48,760 --> 02:56:52,000
Speaker 5: the United States. I have asked Energy Secretary Chris Right

3519
02:56:52,080 --> 02:56:55,280
Speaker 5: to execute this plan immediately. It will be taken by

3520
02:56:55,320 --> 02:56:57,760
Speaker 5: storage ships and bought directly to unloading docks in the

3521
02:56:57,840 --> 02:57:00,320
Speaker 5: United States. Thank you for your attention to the matter.

3522
02:57:00,720 --> 02:57:04,160
Speaker 5: Donald J. Trump, President of the United States of America.

3523
02:57:04,800 --> 02:57:08,720
Speaker 3: You know, I distinctly remember the days the haulsey in

3524
02:57:08,840 --> 02:57:11,720
Speaker 3: days when I was a child, when saying no war

3525
02:57:11,840 --> 02:57:15,080
Speaker 3: for oil was a provocative political statement because the leaders

3526
02:57:15,120 --> 02:57:17,160
Speaker 3: of our country insisted that the wars were not in

3527
02:57:17,280 --> 02:57:18,120
Speaker 3: fact for oil.

3528
02:57:18,760 --> 02:57:18,960
Speaker 4: Yeah.

3529
02:57:19,600 --> 02:57:21,720
Speaker 3: Yeah, all that has dropped and we do not give

3530
02:57:21,760 --> 02:57:24,760
Speaker 3: a single thunk anymore. No, it just openly doing the

3531
02:57:24,840 --> 02:57:26,040
Speaker 3: thing they were doing before.

3532
02:57:26,920 --> 02:57:29,960
Speaker 5: Yeah, it's wild to think of the Bush era of

3533
02:57:30,000 --> 02:57:34,400
Speaker 5: a golden age of at least pretending is extraordinarily vague. Right,

3534
02:57:34,520 --> 02:57:37,280
Speaker 5: how much this oil is it being turned over over?

3535
02:57:37,320 --> 02:57:40,640
Speaker 5: What period of time? It's Venezuela. Were expected to extract

3536
02:57:40,720 --> 02:57:42,880
Speaker 5: and refine the oil then hand it over or it's

3537
02:57:42,920 --> 02:57:44,360
Speaker 5: going to give you as companies a right.

3538
02:57:44,320 --> 02:57:44,600
Speaker 4: To do that.

3539
02:57:44,879 --> 02:57:48,160
Speaker 3: They don't have much of the processing facilities. There's like one,

3540
02:57:48,440 --> 02:57:51,800
Speaker 3: I think American processing facility that can process the kind

3541
02:57:51,800 --> 02:57:55,320
Speaker 3: of crew that comes out of Venezuela. But it's difficult.

3542
02:57:55,360 --> 02:57:57,279
Speaker 3: We talked about this in more in the other episode.

3543
02:57:57,280 --> 02:58:00,680
Speaker 3: But it's the Venezuela and oil sucks. It's difficult to refine,

3544
02:58:01,360 --> 02:58:02,320
Speaker 3: it's no high quality.

3545
02:58:03,080 --> 02:58:06,040
Speaker 5: What are you talking about right here? Right here in

3546
02:58:06,080 --> 02:58:09,120
Speaker 5: the post man, I don't know, I don't know's hearing

3547
02:58:09,160 --> 02:58:11,959
Speaker 5: the truth. Yeah, in the truth, thank you, thank you, Garrison.

3548
02:58:12,240 --> 02:58:13,840
Speaker 5: That really does make it sound. I can reading from

3549
02:58:13,840 --> 02:58:17,760
Speaker 5: the Bible at church and think that God, we'll say

3550
02:58:17,800 --> 02:58:20,119
Speaker 5: the oil is not sanctioned. That's not how sanctions work.

3551
02:58:20,480 --> 02:58:26,880
Speaker 5: Sanctioned countries and people, not things. Bizarre centerence structure is there. Yeah,

3552
02:58:26,879 --> 02:58:28,680
Speaker 5: it's doing a lot for me. So, Yeah, I talked

3553
02:58:28,680 --> 02:58:30,680
Speaker 5: about the Rodriguez option in the last show, and I

3554
02:58:30,720 --> 02:58:32,600
Speaker 5: guess this is kind of confirming a lot of what

3555
02:58:32,680 --> 02:58:34,280
Speaker 5: we get speculated about there.

3556
02:58:35,200 --> 02:58:38,680
Speaker 3: That's assuming this happens. By the way, I will say

3557
02:58:39,320 --> 02:58:43,360
Speaker 3: that there was some dip in oil prices today over

3558
02:58:43,440 --> 02:58:45,600
Speaker 3: the exact splication of this is real. But I don't

3559
02:58:45,879 --> 02:58:48,880
Speaker 3: know how well connected those people are, either quite frankly,

3560
02:58:49,120 --> 02:58:52,840
Speaker 3: or how much of an understanding anyone has over whether

3561
02:58:52,920 --> 02:58:55,920
Speaker 3: this is going to happen or not. We don't know.

3562
02:58:56,520 --> 02:58:59,640
Speaker 3: He just says things, and sometimes they happen and sometimes

3563
02:58:59,680 --> 02:59:02,440
Speaker 3: they don't, And there's no actual way to tell which

3564
02:59:02,520 --> 02:59:04,840
Speaker 3: ones are going to come true and which ones are

3565
02:59:04,920 --> 02:59:08,000
Speaker 3: just him posting from Trump's mouth to Rubio's ears.

3566
02:59:08,720 --> 02:59:10,800
Speaker 5: Yeah, but then Riba said something different in an interview.

3567
02:59:10,959 --> 02:59:14,480
Speaker 5: Trump says it again and then yeah, there we go. Yeah,

3568
02:59:15,240 --> 02:59:19,640
Speaker 5: it does look like they are tempting to pursue the

3569
02:59:19,720 --> 02:59:21,520
Speaker 5: strategy which you spoke about, which it is the only

3570
02:59:21,560 --> 02:59:24,280
Speaker 5: thing getting liberated in Venezuela is the oil. Right that

3571
02:59:24,400 --> 02:59:27,240
Speaker 5: they will allow the regime to continue. They will not

3572
02:59:27,480 --> 02:59:31,280
Speaker 5: be any attempt at regime change. They just want a

3573
02:59:31,320 --> 02:59:34,640
Speaker 5: puppet version of the old regime which they can manipulate

3574
02:59:35,040 --> 02:59:37,920
Speaker 5: purely apparently for their own financial benefit with oil. Yeah.

3575
02:59:38,160 --> 02:59:42,040
Speaker 3: It's also worth noting that Trump is claiming that he

3576
02:59:42,520 --> 02:59:45,920
Speaker 3: personally is going to be controlling the money after it's

3577
02:59:46,000 --> 02:59:50,720
Speaker 3: sold at market price, a sentence that at any other

3578
02:59:50,879 --> 02:59:55,080
Speaker 3: time in American history would be the most dictatorial thing

3579
02:59:55,400 --> 02:59:59,199
Speaker 3: you've ever seen, but pales in comparison to the fact

3580
02:59:59,240 --> 03:00:01,360
Speaker 3: that he is claiming to be running a country after

3581
03:00:01,480 --> 03:00:04,199
Speaker 3: a war that he unilaterally started without congress.

3582
03:00:04,879 --> 03:00:07,280
Speaker 4: So, I mean, isn't even accurate to call it a war.

3583
03:00:07,320 --> 03:00:10,360
Speaker 4: It seems like it's like a single military action. Now,

3584
03:00:10,640 --> 03:00:12,680
Speaker 4: it's like an act of war, I guess, right.

3585
03:00:12,840 --> 03:00:15,879
Speaker 3: But if you combined the blockades, which are an active war,

3586
03:00:16,000 --> 03:00:18,240
Speaker 3: and we'll get to blockades more in a second, and this,

3587
03:00:18,480 --> 03:00:19,560
Speaker 3: I think this is just a war.

3588
03:00:20,440 --> 03:00:23,520
Speaker 4: Like I mean, I went to the protest in New

3589
03:00:23,600 --> 03:00:26,840
Speaker 4: York the morning after the action, and you know, a

3590
03:00:26,920 --> 03:00:28,960
Speaker 4: lot of a lot of chance for about you know,

3591
03:00:29,120 --> 03:00:32,879
Speaker 4: no war in Venezuela, you know, no more bombs in Venezuela.

3592
03:00:32,959 --> 03:00:35,080
Speaker 4: And like it looks like they're kind of done. They're

3593
03:00:35,120 --> 03:00:36,480
Speaker 4: kind of done with the bombs. They're kind of done

3594
03:00:36,480 --> 03:00:36,840
Speaker 4: with the war.

3595
03:00:37,360 --> 03:00:41,000
Speaker 3: Here's the thing though, So Trump has also said that

3596
03:00:41,240 --> 03:00:43,680
Speaker 3: if the current government of Venezuela refuses to comply, he

3597
03:00:43,840 --> 03:00:48,640
Speaker 3: will do more strikes whoa so than he did to Madua. Yeah,

3598
03:00:49,720 --> 03:00:51,920
Speaker 3: and it's always kind of difficult to parse exactly what's

3599
03:00:51,920 --> 03:00:53,800
Speaker 3: going on there, but yeah.

3600
03:00:53,879 --> 03:00:57,200
Speaker 5: It's a potential for more US action, definitely. Yeah, it

3601
03:00:57,240 --> 03:00:59,240
Speaker 5: seems like right now they paid to have got roughly

3602
03:00:59,320 --> 03:01:03,760
Speaker 5: what they wanted. And then like there's also the potential

3603
03:01:03,920 --> 03:01:05,960
Speaker 5: for this do you any number of ways? Right, Like

3604
03:01:07,280 --> 03:01:10,960
Speaker 5: things could continue to deteriorate for the regime there, Like,

3605
03:01:11,160 --> 03:01:13,440
Speaker 5: like what does it mean for their ability They have

3606
03:01:13,560 --> 03:01:17,720
Speaker 5: previously had the ability to use various kind of nefarious

3607
03:01:17,800 --> 03:01:20,640
Speaker 5: reflaggings of boats, which me is going to talk about

3608
03:01:20,640 --> 03:01:25,039
Speaker 5: a second here to obtain some income, right, Like, if

3609
03:01:25,080 --> 03:01:27,920
Speaker 5: they're not even able to do that, it's get even worse, right,

3610
03:01:28,000 --> 03:01:32,000
Speaker 5: and the economic situation in Venezuela could very easily get worse.

3611
03:01:32,080 --> 03:01:35,280
Speaker 5: I know everyone I've spoken to there is out trying

3612
03:01:35,320 --> 03:01:38,760
Speaker 5: to stock up on nonperishable food and they don't know

3613
03:01:38,800 --> 03:01:41,000
Speaker 5: what the future holds for them. Plus you now have,

3614
03:01:41,720 --> 03:01:44,560
Speaker 5: as we saw earlier in this week, very trigger happy

3615
03:01:45,560 --> 03:01:47,360
Speaker 5: pro government militias will probably be the best way to

3616
03:01:47,440 --> 03:01:50,039
Speaker 5: describe it, like in this case that they were shooting

3617
03:01:50,080 --> 03:01:54,360
Speaker 5: at a drone up in the air. But there is

3618
03:01:54,520 --> 03:01:57,000
Speaker 5: very clearly still a lot of tension in the country.

3619
03:01:57,879 --> 03:02:03,560
Speaker 4: So on Saturday morning, after the military action Venezuela, I

3620
03:02:03,640 --> 03:02:06,640
Speaker 4: went to the protest in New York, like like I

3621
03:02:06,879 --> 03:02:11,279
Speaker 4: previously mentioned, and I've put together this little audio report

3622
03:02:12,000 --> 03:02:14,880
Speaker 4: that I recorded at the protest that takes you through

3623
03:02:15,240 --> 03:02:19,600
Speaker 4: about like an hour's worth of protest activity.

3624
03:02:20,200 --> 03:02:22,200
Speaker 3: And yeah, give it a give it a listen.

3625
03:02:25,600 --> 03:02:30,800
Speaker 4: It is Saturday, January third, two fifty four pm. I

3626
03:02:30,920 --> 03:02:35,360
Speaker 4: am in Times Square with I would say two hundred

3627
03:02:35,520 --> 03:02:39,960
Speaker 4: to three hundred people protesting US action in Venezuela as

3628
03:02:40,040 --> 03:02:43,440
Speaker 4: well as Iran and the genocide and Palestine. Kind of

3629
03:02:43,520 --> 03:02:48,120
Speaker 4: a mix of causes, but mostly talking about Venezuela and

3630
03:02:48,840 --> 03:02:54,480
Speaker 4: the military extradition of President Maduro. The organizational structure at

3631
03:02:54,560 --> 03:02:57,880
Speaker 4: this protest seems to be mostly propped up by various

3632
03:02:58,120 --> 03:03:03,880
Speaker 4: communist organizations. Is a revolution Communist Party tabling. There's the BOB,

3633
03:03:04,040 --> 03:03:07,720
Speaker 4: a vacant refuse fascism organization with a lot of banners

3634
03:03:07,760 --> 03:03:10,560
Speaker 4: and signs. PSL has a bunch of banners and signs,

3635
03:03:10,760 --> 03:03:15,320
Speaker 4: as well as the Coney Internationalist Student Group, which.

3636
03:03:15,160 --> 03:03:18,080
Speaker 3: Is tied to the New York City Public University system.

3637
03:03:19,120 --> 03:03:22,840
Speaker 4: They have some homemade signs, the only signs actually drawn

3638
03:03:22,920 --> 03:03:26,480
Speaker 4: on paper probably this morning, versus all of the PSL

3639
03:03:26,800 --> 03:03:32,000
Speaker 4: signs which appear pre printed and pre prepared. A rotating

3640
03:03:32,120 --> 03:03:34,879
Speaker 4: selection of speakers have given speeches for the past hour,

3641
03:03:35,400 --> 03:03:40,080
Speaker 4: and now at three pm, this relatively small crowd for

3642
03:03:40,240 --> 03:03:43,000
Speaker 4: a New York protest is leading a.

3643
03:03:43,160 --> 03:03:46,520
Speaker 5: March south you no, I'm not alive.

3644
03:03:58,720 --> 03:04:04,240
Speaker 4: The marches taking up probably about one city block just

3645
03:04:04,360 --> 03:04:05,959
Speaker 4: outside of Times Square on.

3646
03:04:06,280 --> 03:04:07,760
Speaker 3: Forty third and eighth.

3647
03:04:09,280 --> 03:04:11,119
Speaker 2: Turning on to eighth Avenue.

3648
03:04:11,360 --> 03:04:15,840
Speaker 4: Now after about ten minutes of marching and why pdvikes

3649
03:04:15,840 --> 03:04:19,280
Speaker 4: at the front of the march as well as on

3650
03:04:19,640 --> 03:04:21,920
Speaker 4: foot officers on either side of the crowd.

3651
03:04:22,200 --> 03:04:23,840
Speaker 2: Not like a huge presence.

3652
03:04:24,040 --> 03:04:28,600
Speaker 3: I maybe seen cumulatively one hundred or so cops, which

3653
03:04:29,520 --> 03:04:31,840
Speaker 3: is actually not that much for New.

3654
03:04:31,840 --> 03:04:35,119
Speaker 4: York, especially based on how spread out they are, because

3655
03:04:35,200 --> 03:04:39,400
Speaker 4: maybe like two dozen cops on either side of the march,

3656
03:04:39,600 --> 03:04:44,640
Speaker 4: just walking walking on the sidewalk, and then maybe another

3657
03:04:46,440 --> 03:04:49,400
Speaker 4: another two to three dozen in the front and more

3658
03:04:49,760 --> 03:04:53,600
Speaker 4: in the back, so between fifty to one hundred cops.

3659
03:05:14,680 --> 03:05:17,520
Speaker 4: A little over fifteen minutes into the march. They have

3660
03:05:17,640 --> 03:05:21,640
Speaker 4: now moved up to forty seventh Street. At this point,

3661
03:05:21,720 --> 03:05:26,080
Speaker 4: there's been zero conflict with the police. They've mostly facilitated

3662
03:05:26,160 --> 03:05:30,840
Speaker 4: the traffic around the march as people continue to chant.

3663
03:05:30,840 --> 03:05:32,320
Speaker 2: And walk north.

3664
03:05:43,560 --> 03:05:47,199
Speaker 4: The crowd has been marching for over thirty five minutes

3665
03:05:47,920 --> 03:05:51,280
Speaker 4: and now are arriving at what I assume is their destination,

3666
03:05:51,879 --> 03:05:59,480
Speaker 4: Columbus Circle up at fifty eighth Street and Broadway.

3667
03:06:00,640 --> 03:06:02,080
Speaker 3: No scuffles with the police.

3668
03:06:02,680 --> 03:06:05,840
Speaker 4: There was like two guys in mega hats, kind of

3669
03:06:05,920 --> 03:06:08,640
Speaker 4: I'm trying to antagonize the side of the crowd. For

3670
03:06:08,720 --> 03:06:15,200
Speaker 4: the past fifteen minutes, nothing really happened. One random dude

3671
03:06:15,240 --> 03:06:18,760
Speaker 4: came out of a convenience store yelling fuck Roduro, trying

3672
03:06:18,840 --> 03:06:22,320
Speaker 4: to agitate some people in the crowd, but everyone just

3673
03:06:22,480 --> 03:06:27,200
Speaker 4: moved on and now they are approaching Columbus Circle.

3674
03:06:28,240 --> 03:06:31,360
Speaker 11: The decent people in this country needs to answer the

3675
03:06:31,480 --> 03:06:32,400
Speaker 11: people of the whole.

3676
03:06:33,120 --> 03:06:34,360
Speaker 3: What are we gonna do?

3677
03:06:35,720 --> 03:06:40,920
Speaker 11: This is not a time for prof that's usual. There

3678
03:06:41,080 --> 03:06:45,879
Speaker 11: needs to be a full regime, not in Venezuela, right.

3679
03:06:45,840 --> 03:06:46,840
Speaker 3: Here in the US.

3680
03:06:47,879 --> 03:06:50,000
Speaker 1: People in this country.

3681
03:06:51,360 --> 03:06:57,279
Speaker 3: Fly goo boom to begin to fall in this fashion.

3682
03:06:57,440 --> 03:07:03,720
Speaker 3: Reim you guys, get in choice.

3683
03:07:03,760 --> 03:07:14,320
Speaker 4: EPIS. Police are now very lightly directing people into Columbus Circle,

3684
03:07:15,080 --> 03:07:18,760
Speaker 4: onto the plaza and off of the street. Some groups

3685
03:07:18,800 --> 03:07:24,959
Speaker 4: are packing up their protests, signs and bags and starting

3686
03:07:25,000 --> 03:07:35,320
Speaker 4: to peel off. So as expected, this protest was done

3687
03:07:35,360 --> 03:07:41,759
Speaker 4: by a coalition of anti imperialist leftist, socialist communist organizations.

3688
03:07:42,080 --> 03:07:44,840
Speaker 4: You have the Party for Socialism and Liberation PSL and

3689
03:07:45,040 --> 03:07:48,760
Speaker 4: all of these other communist groups who are all primarily

3690
03:07:48,920 --> 03:07:53,039
Speaker 4: either trying to grow their membership roster or sell their newspapers,

3691
03:07:53,200 --> 03:07:56,000
Speaker 4: sell their magazines. And this is what most of the

3692
03:07:56,080 --> 03:07:59,120
Speaker 4: protest actually is. They have tables set up while people

3693
03:07:59,120 --> 03:08:02,240
Speaker 4: are giving speeches. They have people walking around handing out

3694
03:08:02,320 --> 03:08:05,760
Speaker 4: pamphlets and flyers. And this protest was not very big,

3695
03:08:05,959 --> 03:08:08,200
Speaker 4: Like I said, it was relatively small, maybe two hundred

3696
03:08:08,200 --> 03:08:09,920
Speaker 4: and three hundred people, because there's not a lot of

3697
03:08:09,920 --> 03:08:11,600
Speaker 4: public buy in for this sort of thing, because at

3698
03:08:11,600 --> 03:08:14,320
Speaker 4: this point, if anyone's been around, they know, based on

3699
03:08:14,400 --> 03:08:16,640
Speaker 4: the flyers that get posted, what kind of protest this

3700
03:08:16,720 --> 03:08:18,359
Speaker 4: is going to be. This is going to be socialist

3701
03:08:18,680 --> 03:08:21,560
Speaker 4: communist organizations trying to grow their membership. It's not a

3702
03:08:21,640 --> 03:08:24,440
Speaker 4: representative sample of the people of New York, is It

3703
03:08:24,560 --> 03:08:28,400
Speaker 4: is people trying to sell magazines and newspapers and books.

3704
03:08:28,959 --> 03:08:31,920
Speaker 4: And the fact that the entire proto secret system for

3705
03:08:32,000 --> 03:08:35,120
Speaker 4: stuff like this is fully captured by these sorts of

3706
03:08:35,200 --> 03:08:38,600
Speaker 4: organizations makes it really hard to grow a genuine movement

3707
03:08:38,680 --> 03:08:40,960
Speaker 4: because people know that it's going to be walking for

3708
03:08:41,040 --> 03:08:43,840
Speaker 4: thirty minutes and then people are going to be shoving

3709
03:08:43,879 --> 03:08:47,280
Speaker 4: pamphlets in their in their hand, and that's the extent

3710
03:08:47,320 --> 03:08:50,320
Speaker 4: to what you are protesting. It is that it's walking

3711
03:08:50,440 --> 03:08:54,080
Speaker 4: along a path led by the NYPD to Columbus Circle.

3712
03:08:54,600 --> 03:08:57,040
Speaker 5: Yeah, I'm totily's having in almost every city in the US, right,

3713
03:08:57,080 --> 03:08:58,720
Speaker 5: Like I saw a fly of F one in San Diego.

3714
03:08:59,280 --> 03:09:01,560
Speaker 5: Personally couldn't be asked to attend because, as you say,

3715
03:09:01,640 --> 03:09:03,920
Speaker 5: like I knew what was going to happen and like

3716
03:09:04,200 --> 03:09:06,200
Speaker 5: a person in a high verse and a clipboard was

3717
03:09:06,200 --> 03:09:07,600
Speaker 5: going to try and get my email address.

3718
03:09:08,200 --> 03:09:10,000
Speaker 3: I will say that the thing, the thing that did

3719
03:09:10,120 --> 03:09:11,520
Speaker 3: hearten me a little bit was that there were a

3720
03:09:11,560 --> 03:09:13,760
Speaker 3: few protests, I mean, just out in the Chicago suburbs,

3721
03:09:13,800 --> 03:09:15,280
Speaker 3: which is not a place you normally have these that

3722
03:09:15,360 --> 03:09:19,240
Speaker 3: weren't by these groups that were just pretty spontaneous on

3723
03:09:19,360 --> 03:09:22,120
Speaker 3: the morning of the demonstration. But the sort of issue, yeah,

3724
03:09:22,120 --> 03:09:24,920
Speaker 3: that you're fraying two Garrison is that like even these

3725
03:09:24,920 --> 03:09:28,120
Speaker 3: spontaneous protests, the energy just gets captured by like the

3726
03:09:28,200 --> 03:09:30,640
Speaker 3: PSL and these organizations that fundamentally don't want to do

3727
03:09:30,680 --> 03:09:32,199
Speaker 3: anything other than grow their organization.

3728
03:09:32,680 --> 03:09:35,200
Speaker 5: And that's design from in order to co opt the

3729
03:09:35,280 --> 03:09:38,000
Speaker 5: anger that's happening right now. And I wanted to find

3730
03:09:38,000 --> 03:09:40,240
Speaker 5: out that anger any useless direction that burned people out

3731
03:09:40,240 --> 03:09:42,920
Speaker 5: on activism. I wouldn't change anything from the PSL.

3732
03:09:43,280 --> 03:09:44,480
Speaker 3: And I mean, and this is this has been what

3733
03:09:44,600 --> 03:09:46,520
Speaker 3: the American anti war movement has looked like since the

3734
03:09:46,640 --> 03:09:49,200
Speaker 3: Rock War demonstrations. Yeah, right, this was this was one

3735
03:09:49,200 --> 03:09:51,720
Speaker 3: of the battles that happened inside of the Rock War protests,

3736
03:09:51,720 --> 03:09:53,080
Speaker 3: and it's one of the reasons why they didn't.

3737
03:09:52,879 --> 03:09:55,680
Speaker 4: Work, and like, this is a very serious thing, Like

3738
03:09:55,959 --> 03:09:58,320
Speaker 4: this is a very serious military action that should warrant

3739
03:09:58,640 --> 03:10:02,640
Speaker 4: massive public outcry. But protesting taps into a finite resource

3740
03:10:02,680 --> 03:10:05,440
Speaker 4: that people have, and when you have an inclination that

3741
03:10:05,480 --> 03:10:07,960
Speaker 4: the protests are going to go this way, people might

3742
03:10:08,000 --> 03:10:10,240
Speaker 4: not want to expend their personal resource because it is

3743
03:10:10,320 --> 03:10:13,400
Speaker 4: not seriously putting pressure on anyone making decisions in the government.

3744
03:10:14,040 --> 03:10:16,160
Speaker 5: Yeah, this is a very serious thing that we shouldn't

3745
03:10:16,200 --> 03:10:18,440
Speaker 5: under play for a second that like the United States

3746
03:10:18,480 --> 03:10:22,480
Speaker 5: had done something which is completely illegal, right, which is

3747
03:10:22,560 --> 03:10:25,480
Speaker 5: an act of war against a sovereign country, And me

3748
03:10:25,640 --> 03:10:26,840
Speaker 5: saying this doesn't mean I'm going.

3749
03:10:26,840 --> 03:10:27,600
Speaker 2: To du rose down.

3750
03:10:27,680 --> 03:10:29,680
Speaker 5: Anyone who has listened to any portion of my work

3751
03:10:29,720 --> 03:10:33,240
Speaker 5: will understand that. But it is incredibly serious to the

3752
03:10:33,360 --> 03:10:35,400
Speaker 5: US and attempting to set as president that it can

3753
03:10:35,520 --> 03:10:38,240
Speaker 5: just black bag heads of state. Whether or not the

3754
03:10:38,360 --> 03:10:40,800
Speaker 5: US considers a legitimate right, their argument that the duor

3755
03:10:40,920 --> 03:10:44,240
Speaker 5: is not legitimate, it doesn't matter. If they can just

3756
03:10:44,320 --> 03:10:47,680
Speaker 5: send dudes in helicopters to black people around the world,

3757
03:10:47,800 --> 03:10:50,520
Speaker 5: then that is a very scary precedent.

3758
03:10:51,280 --> 03:10:53,520
Speaker 4: All right, I am going to head out and return

3759
03:10:53,560 --> 03:10:56,200
Speaker 4: to the CEES show floor. I will say for the

3760
03:10:56,879 --> 03:10:59,440
Speaker 4: if you're doing a tariff talk segment, there has been

3761
03:10:59,480 --> 03:11:01,760
Speaker 4: discussion of tariffs at CEES that I have not mentioned

3762
03:11:01,800 --> 03:11:04,680
Speaker 4: on the CS episodes so far, two thumbs down to

3763
03:11:04,879 --> 03:11:07,760
Speaker 4: two thumbs down on the tariffs from the Consumer Electronics Showcase.

3764
03:11:08,600 --> 03:11:11,000
Speaker 4: Now they're coming out with the bold stands that they

3765
03:11:11,000 --> 03:11:12,199
Speaker 4: don't like the terror Wow.

3766
03:11:12,840 --> 03:11:15,400
Speaker 5: I think Ivanka Trump was giving a knot of dress

3767
03:11:16,040 --> 03:11:18,119
Speaker 5: at the last CS that I attended.

3768
03:11:18,320 --> 03:11:21,760
Speaker 3: Rock incredible, incredible.

3769
03:11:21,240 --> 03:11:22,880
Speaker 5: Well related news. I stopped attended.

3770
03:11:24,720 --> 03:11:27,400
Speaker 4: Well, I have to keep attending now because the Secretary

3771
03:11:27,440 --> 03:11:31,320
Speaker 4: to the US from Estonia was was googling me for

3772
03:11:31,720 --> 03:11:35,439
Speaker 4: thirty minutes yesterday, So I might be getting a new passport.

3773
03:11:36,080 --> 03:11:38,920
Speaker 3: Oh boy, God speed.

3774
03:11:40,240 --> 03:11:44,400
Speaker 5: The AI prebanalyzing toilet for me, Garrison, I will do so.

3775
03:11:44,680 --> 03:11:47,000
Speaker 3: One of the questions that we had at the very

3776
03:11:47,080 --> 03:11:50,560
Speaker 3: beginning of this operation was what is going to happen

3777
03:11:50,720 --> 03:11:54,520
Speaker 3: to the US oil blockade on Venezuela. And the answer

3778
03:11:54,680 --> 03:11:57,640
Speaker 3: is that it appears to still be in a fact,

3779
03:11:57,920 --> 03:12:02,480
Speaker 3: the evidence of which is the US interdicting to oil tankers,

3780
03:12:03,400 --> 03:12:06,520
Speaker 3: one of which they've been chasing for about a month.

3781
03:12:06,680 --> 03:12:09,920
Speaker 3: A few weeks which is really funny if you know

3782
03:12:10,320 --> 03:12:13,720
Speaker 3: how large an oil tanker is that you've fit in

3783
03:12:13,800 --> 03:12:18,000
Speaker 3: a boat chased with an oil tanker, It's.

3784
03:12:17,840 --> 03:12:21,680
Speaker 2: Like, I guess it's just so big they can't make

3785
03:12:21,720 --> 03:12:22,199
Speaker 2: it stop.

3786
03:12:23,120 --> 03:12:23,760
Speaker 3: Yeah, I guess.

3787
03:12:23,920 --> 03:12:23,960
Speaker 4: So.

3788
03:12:24,040 --> 03:12:27,760
Speaker 3: Apparently the demonstrations claiming that the coast Guard had attempted

3789
03:12:27,800 --> 03:12:30,080
Speaker 3: to board it, and they refuse to allow the coast

3790
03:12:30,080 --> 03:12:32,360
Speaker 3: Guard to board. But the only thing I can think

3791
03:12:32,400 --> 03:12:35,760
Speaker 3: of is, you know those those giant vehicles they use

3792
03:12:35,920 --> 03:12:40,720
Speaker 3: to move rockets around at JPL or like like from JPL,

3793
03:12:40,800 --> 03:12:42,360
Speaker 3: like on the launch site where they had They can

3794
03:12:42,440 --> 03:12:44,600
Speaker 3: only move like five miles an hour, and they're the

3795
03:12:44,720 --> 03:12:46,920
Speaker 3: size of a rocket because you have to have a

3796
03:12:47,040 --> 03:12:50,360
Speaker 3: standing rocket on it. That's what it's like. They're chasing

3797
03:12:50,400 --> 03:12:58,199
Speaker 3: an empty oil tanker the Atlantic. It's also worth noting

3798
03:12:58,400 --> 03:13:01,720
Speaker 3: that one of the very weird parts of this is

3799
03:13:01,800 --> 03:13:05,760
Speaker 3: that I'm gonna quote quote from writers here. Attorney General

3800
03:13:05,840 --> 03:13:08,320
Speaker 3: Pam Bondi said in a statement that the ship's crew

3801
03:13:08,480 --> 03:13:12,160
Speaker 3: had made quote frantic efforts to avoid apprehension, which again

3802
03:13:12,320 --> 03:13:14,200
Speaker 3: I kind of emphasize this it off. This is an

3803
03:13:14,280 --> 03:13:19,560
Speaker 3: oil tanker, Like, this is not a speed This is

3804
03:13:19,720 --> 03:13:22,800
Speaker 3: like the largest like one of one of the largest

3805
03:13:22,840 --> 03:13:25,720
Speaker 3: and most unwieldly craft that humanity has ever produced in

3806
03:13:25,760 --> 03:13:31,320
Speaker 3: its entire history. Like, how are you getting frantically aber?

3807
03:13:31,879 --> 03:13:32,039
Speaker 5: Yeah?

3808
03:13:33,840 --> 03:13:41,400
Speaker 3: I don't know an oil taker evasive maneuvers and this

3809
03:13:41,520 --> 03:13:44,279
Speaker 3: is this is also from the Raiders thing end quote

3810
03:13:44,320 --> 03:13:48,760
Speaker 3: failed to obey Coastguard orders and so faces criminal charges,

3811
03:13:49,680 --> 03:13:54,359
Speaker 3: which sucks. But also I like, if you're getting evaded

3812
03:13:54,800 --> 03:13:58,000
Speaker 3: by an oil tanker, that is a skill issue.

3813
03:13:58,520 --> 03:14:02,880
Speaker 2: Like you, there are websites where you can track these things.

3814
03:14:02,959 --> 03:14:06,360
Speaker 3: They have transponders, like when this thing was captured, its

3815
03:14:06,360 --> 03:14:11,360
Speaker 3: transponder was on. So this skill issue. I good Lord.

3816
03:14:12,080 --> 03:14:14,080
Speaker 3: On a more serious note, this is this is part

3817
03:14:14,120 --> 03:14:17,680
Speaker 3: of that initial oil blockade of sanctioned Venezuela and oil

3818
03:14:17,720 --> 03:14:19,959
Speaker 3: that began last year. The US government has been saying

3819
03:14:19,959 --> 03:14:22,080
Speaker 3: that this ship and the other ship that the other

3820
03:14:22,160 --> 03:14:26,760
Speaker 3: oil tankers that they've seized are basically ghost ships, which

3821
03:14:26,800 --> 03:14:28,200
Speaker 3: we talked about another episode. I don't know if you

3822
03:14:28,200 --> 03:14:30,240
Speaker 3: want to explain again what that is, James.

3823
03:14:30,040 --> 03:14:35,200
Speaker 5: But yeah, they're often old ships that are either reflagged

3824
03:14:35,680 --> 03:14:38,200
Speaker 5: or the ships that have been retired and are returned,

3825
03:14:38,320 --> 03:14:40,280
Speaker 5: or the ships have been scraped and someone has taken

3826
03:14:40,320 --> 03:14:43,280
Speaker 5: their name, and it's using it so that they pay

3827
03:14:43,320 --> 03:14:45,840
Speaker 5: elect ships, you know, coming back from the dead. But

3828
03:14:45,959 --> 03:14:49,160
Speaker 5: often they will reflag or rename halfway through their trip,

3829
03:14:49,200 --> 03:14:54,400
Speaker 5: and it's a bunch of boat law stuff to avoid sanctions,

3830
03:14:54,480 --> 03:14:55,800
Speaker 5: is what they tend to be.

3831
03:14:56,400 --> 03:14:59,840
Speaker 3: Yeah, And so that that's the US's justification for season

3832
03:15:00,160 --> 03:15:03,199
Speaker 3: two more oil tankers, which again I also cannot emphasize

3833
03:15:03,280 --> 03:15:04,920
Speaker 3: enough that this also is an act of work.

3834
03:15:05,240 --> 03:15:07,200
Speaker 5: Yeah. I mean, were they flagged as Venezuelan.

3835
03:15:07,879 --> 03:15:10,080
Speaker 3: No, one of them was flagged as Russian, and I

3836
03:15:10,160 --> 03:15:13,000
Speaker 3: haven't seen anything about what the other ship was flagged as.

3837
03:15:14,400 --> 03:15:18,680
Speaker 3: China has protested the seizures of these boats, but there

3838
03:15:18,720 --> 03:15:21,600
Speaker 3: hasn't really been anything other than diplomatic noise so far

3839
03:15:22,720 --> 03:15:25,320
Speaker 3: from the Chinese government. Who if there was a government

3840
03:15:25,360 --> 03:15:28,200
Speaker 3: on the world stage who was going to do a

3841
03:15:28,240 --> 03:15:30,400
Speaker 3: serious protest about this, I think it would have been

3842
03:15:30,480 --> 03:15:34,600
Speaker 3: either Russia or China, And we haven't really seen anything

3843
03:15:34,680 --> 03:15:38,760
Speaker 3: more significant than the diplomats being annoyed. So we will

3844
03:15:38,800 --> 03:15:41,360
Speaker 3: continue to see how this oil blockade plays out and

3845
03:15:41,760 --> 03:15:45,440
Speaker 3: the effects that it has on people in Venezuela. I

3846
03:15:45,680 --> 03:15:48,760
Speaker 3: wish I had a better adpuvot for this but I don't.

3847
03:15:48,959 --> 03:15:50,199
Speaker 3: So here's ads.

3848
03:15:50,360 --> 03:15:52,560
Speaker 5: Well, they liked oil tankers. May they just rumble along

3849
03:15:52,600 --> 03:15:55,080
Speaker 5: and you can't stop it? And then yes, we've been

3850
03:15:55,160 --> 03:15:56,120
Speaker 5: unable to interdictment.

3851
03:16:07,920 --> 03:16:12,480
Speaker 3: We are back from our failed ad intradiction. Do you

3852
03:16:12,520 --> 03:16:16,320
Speaker 3: want to talk about Syria, James, Oh yeah, this is.

3853
03:16:16,440 --> 03:16:21,080
Speaker 5: James Grim the rest of the world segment to a

3854
03:16:21,120 --> 03:16:22,840
Speaker 5: lot of bad stuff is happening, and some of it's

3855
03:16:22,879 --> 03:16:25,440
Speaker 5: not going to punch into like your mainstream US news

3856
03:16:25,680 --> 03:16:29,039
Speaker 5: media diet. So right now, pretty serious fighting has broken

3857
03:16:29,080 --> 03:16:32,760
Speaker 5: out in a leper right. Syrian transitional government forces are

3858
03:16:32,840 --> 03:16:37,360
Speaker 5: shelling and attempting to enter the Kurdish enclave shipmuk Sud.

3859
03:16:38,000 --> 03:16:41,200
Speaker 5: Shipmunk Sud is like an area in where Curdish and

3860
03:16:41,280 --> 03:16:43,119
Speaker 5: other people right there with Christian people. There are zd

3861
03:16:43,240 --> 03:16:47,280
Speaker 5: people who live there have this enclave has remained right

3862
03:16:47,320 --> 03:16:52,279
Speaker 5: despite the the regime taking over of the Syrian traditional

3863
03:16:52,320 --> 03:16:54,080
Speaker 5: government taking over the rest of their leaper right, they

3864
03:16:54,080 --> 03:16:57,480
Speaker 5: didn't take over the areas. Area has remained under the

3865
03:16:57,600 --> 03:17:00,080
Speaker 5: control of the aa n E S, the AUTO this

3866
03:17:00,160 --> 03:17:04,320
Speaker 5: Administration of North and East Syria AKA or Java, but

3867
03:17:04,480 --> 03:17:06,640
Speaker 5: they have demilitarized it. And what that means is that

3868
03:17:06,720 --> 03:17:09,760
Speaker 5: there are only internal security forces who are called SASH

3869
03:17:10,160 --> 03:17:13,360
Speaker 5: in Kurdish in this region. But it peers that what

3870
03:17:13,600 --> 03:17:17,720
Speaker 5: happened was an SDF drone unit struck an STG vehicle

3871
03:17:17,959 --> 03:17:21,480
Speaker 5: with a drone. STG Syrian Transitional Government, right, that's the

3872
03:17:21,800 --> 03:17:24,120
Speaker 5: Jilani al Shara government, and of.

3873
03:17:24,120 --> 03:17:28,280
Speaker 3: Course they have another acronym just y. Acronyms were over, yeah,

3874
03:17:28,360 --> 03:17:29,640
Speaker 3: they're none.

3875
03:17:31,160 --> 03:17:34,880
Speaker 5: Yeah aways more so they hit this std VI Glinda

3876
03:17:35,000 --> 03:17:38,240
Speaker 5: Hafa and then the STG seemed to respond by dropping

3877
03:17:38,320 --> 03:17:42,039
Speaker 5: grenades into Ship Maksoud from drones, and then the SASH

3878
03:17:42,120 --> 03:17:46,520
Speaker 5: responded with drones and conflict began. Right, what's different then?

3879
03:17:46,560 --> 03:17:49,920
Speaker 5: There has been conflict on and off in shipmak Sud

3880
03:17:50,400 --> 03:17:53,120
Speaker 5: for a long time, but in the last year, right

3881
03:17:53,400 --> 03:17:57,640
Speaker 5: since HTS moved from Aleppo to seize most of the country.

3882
03:17:58,160 --> 03:18:01,640
Speaker 5: Htslo alf Sham, a group that was formerly on the

3883
03:18:01,680 --> 03:18:04,200
Speaker 5: Foreign Terrorist Organization that's the United States no longer is

3884
03:18:04,760 --> 03:18:07,080
Speaker 5: what we have seen here is not only shelling of

3885
03:18:07,160 --> 03:18:10,880
Speaker 5: the Ship mac sudent neighborhood and shelling in response or

3886
03:18:11,040 --> 03:18:13,960
Speaker 5: mortify and response for the SFAs don't have heavy weapons,

3887
03:18:14,040 --> 03:18:18,000
Speaker 5: that's not their role. The STG has also attempted to

3888
03:18:18,360 --> 03:18:21,640
Speaker 5: enter shik Maxu to seize it. Right, this has obviously

3889
03:18:21,720 --> 03:18:25,400
Speaker 5: prompted thousands of people to flee because they are worried,

3890
03:18:26,000 --> 03:18:30,000
Speaker 5: very reasonably about groups that were previously known under the

3891
03:18:30,040 --> 03:18:34,240
Speaker 5: banner of the SNA or the Turkish FSA, who have

3892
03:18:34,480 --> 03:18:38,400
Speaker 5: previously conducted ethnic cleansing of Kurdish people in areas that

3893
03:18:38,560 --> 03:18:42,560
Speaker 5: they have managed to take control of, right, who have

3894
03:18:42,760 --> 03:18:47,760
Speaker 5: murdered civilians, who have executed women in Kurdish politics. There's

3895
03:18:47,800 --> 03:18:50,680
Speaker 5: every reason for these civilian interfere that happening again, right,

3896
03:18:50,840 --> 03:18:54,160
Speaker 5: because the Syrian Transitional Government has far too often just

3897
03:18:54,320 --> 03:18:57,280
Speaker 5: rebadged SNA units with a long and storied history of

3898
03:18:57,360 --> 03:19:00,320
Speaker 5: war crimes and not done anything to stop them doing

3899
03:19:00,360 --> 03:19:02,840
Speaker 5: it again. But also, some of these are not SNA units.

3900
03:19:02,879 --> 03:19:06,120
Speaker 5: Some of these are Syrian Transitional Government units from other

3901
03:19:06,240 --> 03:19:10,320
Speaker 5: parts of Syria. Nonetheless, there's this attempt and encouraging into

3902
03:19:10,320 --> 03:19:15,000
Speaker 5: the neighborhood is remarkable. It's different. As I write this,

3903
03:19:15,440 --> 03:19:18,800
Speaker 5: the SDG appeared to be staging to enter the neighborhood again.

3904
03:19:19,320 --> 03:19:22,680
Speaker 5: Very amusingly, they took a video showing this, which also

3905
03:19:22,760 --> 03:19:27,600
Speaker 5: revealed the position of all their armor on telegram classic

3906
03:19:27,640 --> 03:19:29,080
Speaker 5: classic serience of a war stuff.

3907
03:19:29,320 --> 03:19:33,119
Speaker 3: Yeah, yeah, everyone loves to be revealing their position on telegram.

3908
03:19:34,000 --> 03:19:38,200
Speaker 5: So yeah, maybe when I when I reopened telegram, those

3909
03:19:38,200 --> 03:19:39,520
Speaker 5: guys will have been wiped out by a bunch of

3910
03:19:39,560 --> 03:19:42,040
Speaker 5: your owns. Who knows. But yet it continues to be

3911
03:19:42,080 --> 03:19:44,360
Speaker 5: a flashpoint. And this is the most serious flare up

3912
03:19:44,440 --> 03:19:46,720
Speaker 5: we've seen in a long time. Right, there was supposed

3913
03:19:46,720 --> 03:19:49,720
Speaker 5: to be an agreement for the integration of the SDF

3914
03:19:49,920 --> 03:19:53,360
Speaker 5: into the Syrian Transitional Government Ministry of Defense. That has failed.

3915
03:19:53,400 --> 03:19:57,080
Speaker 5: They haven't come to an agreement. Various sources are reporting

3916
03:19:57,200 --> 03:20:01,960
Speaker 5: various things about what they wanted, specifically what the SDF

3917
03:20:02,080 --> 03:20:04,920
Speaker 5: wanted for a YPG. Who are the Women's Defense Forces

3918
03:20:04,959 --> 03:20:08,280
Speaker 5: and there are that is a definitely red line for them.

3919
03:20:08,640 --> 03:20:11,240
Speaker 5: They won't disband that though. The women won't put down

3920
03:20:11,280 --> 03:20:15,000
Speaker 5: their guts right and for very reasonable reasons. We don't

3921
03:20:15,040 --> 03:20:18,440
Speaker 5: know exactly if the Serting Transitional Government refuse to accept

3922
03:20:18,480 --> 03:20:20,160
Speaker 5: them in any way. They have said they wouldn't do it,

3923
03:20:20,160 --> 03:20:21,880
Speaker 5: that they have said they would accept them, but we

3924
03:20:21,920 --> 03:20:24,200
Speaker 5: don't really have like a very clear picture of the

3925
03:20:24,280 --> 03:20:29,400
Speaker 5: last round of negotiations. Talking of Kurdish armed groups, let's

3926
03:20:29,560 --> 03:20:33,400
Speaker 5: go from Jaba to Roger. That right across Kurdistan from

3927
03:20:34,360 --> 03:20:36,880
Speaker 5: west to east, just looking at the little compass in

3928
03:20:36,920 --> 03:20:41,879
Speaker 5: my head. In Iran, protests have grown around the country.

3929
03:20:42,480 --> 03:20:46,080
Speaker 5: These protests began largely because of the decreased purchasing power

3930
03:20:46,120 --> 03:20:49,400
Speaker 5: of people's money. There. Of course, the protests have further

3931
03:20:49,480 --> 03:20:54,240
Speaker 5: reduced that and people are really feeling the economic bite

3932
03:20:54,640 --> 03:20:58,920
Speaker 5: right now. This time. What is different is that armed

3933
03:20:59,000 --> 03:21:03,440
Speaker 5: groups have come out in support. I saw LEAD, the

3934
03:21:03,520 --> 03:21:07,040
Speaker 5: name translates as People's Revolutionary Front had assassinated a car

3935
03:21:07,120 --> 03:21:10,880
Speaker 5: Brothers like a drive by pak so Pak, one of

3936
03:21:10,959 --> 03:21:15,960
Speaker 5: the smaller Kurdish paramilitary groups. I made an episode I

3937
03:21:16,040 --> 03:21:18,560
Speaker 5: think it was called what does Bombing Mean for Freedom

3938
03:21:18,560 --> 03:21:22,320
Speaker 5: in Iran last year with Gourdain and I will try

3939
03:21:22,360 --> 03:21:25,080
Speaker 5: and get back with Gordy soon to talk more about this.

3940
03:21:25,240 --> 03:21:27,400
Speaker 5: But if you're wondering who are all these groups? What

3941
03:21:27,480 --> 03:21:29,400
Speaker 5: are all these acronyms, that's the episode you need to

3942
03:21:29,480 --> 03:21:34,080
Speaker 5: go to. So Pak, Peshmoker have been killed, right, which

3943
03:21:34,160 --> 03:21:39,920
Speaker 5: is a significant change. There have been armed elements in

3944
03:21:40,040 --> 03:21:43,160
Speaker 5: these protests and there has been a unity statement both

3945
03:21:43,200 --> 03:21:46,800
Speaker 5: from the different Kurdish armed groups. I think it was

3946
03:21:46,879 --> 03:21:51,040
Speaker 5: Piyak pak and Comala who made this statement, right, and

3947
03:21:51,200 --> 03:21:56,360
Speaker 5: then also from coalition of Kurdish women's organizations. It's organization

3948
03:21:56,480 --> 03:21:59,320
Speaker 5: from across that political spectrum, but in that part of

3949
03:21:59,360 --> 03:22:02,959
Speaker 5: the world together to denounce the actions of the regime,

3950
03:22:03,040 --> 03:22:06,840
Speaker 5: which include, for instance, in Elam Province riot police storming

3951
03:22:06,879 --> 03:22:09,480
Speaker 5: a hospital. I don't know people will have seen that video,

3952
03:22:09,520 --> 03:22:11,120
Speaker 5: but it was extremely surving.

3953
03:22:11,480 --> 03:22:15,880
Speaker 3: Has there been any movement from the Belushi independence groups. Yeah,

3954
03:22:15,920 --> 03:22:19,280
Speaker 3: sure there has, Yeah, but I know I'm pretty sure

3955
03:22:19,320 --> 03:22:22,440
Speaker 3: it was a Volushi group. I remember the twenty nineteen protests.

3956
03:22:22,480 --> 03:22:24,360
Speaker 3: The most military got was I think a Blueshi group

3957
03:22:24,440 --> 03:22:26,800
Speaker 3: like fired at RPG at a police track point, but

3958
03:22:27,040 --> 03:22:28,760
Speaker 3: it never really sort of spread beyond that.

3959
03:22:29,520 --> 03:22:33,200
Speaker 5: Yeah, I don't know. There are different Yeah, there are

3960
03:22:33,240 --> 03:22:37,400
Speaker 5: a number of like volutions groups. I'm not aware of

3961
03:22:37,440 --> 03:22:41,760
Speaker 5: their involvement. There have definitely been like police repression there

3962
03:22:41,840 --> 03:22:44,760
Speaker 5: like there was everywhere else. Right, Yeah, absolutely, But yeah,

3963
03:22:45,120 --> 03:22:46,920
Speaker 5: I will try and probably have this in a whole

3964
03:22:47,000 --> 03:22:48,879
Speaker 5: episode next week. There, I've had a lot of time

3965
03:22:48,920 --> 03:22:51,920
Speaker 5: to prepare on that with all the craziness. I did

3966
03:22:52,040 --> 03:22:54,640
Speaker 5: see that this morning. So we're on the seventh again.

3967
03:22:54,920 --> 03:22:58,040
Speaker 5: The armed forces attack protesters in the Grand Bazaar and Tehran,

3968
03:22:58,360 --> 03:23:01,119
Speaker 5: which you're not aware, has a tremendou significance right from

3969
03:23:01,120 --> 03:23:05,080
Speaker 5: their seventeen nine revolution there, and Entrump has tron twenty

3970
03:23:05,160 --> 03:23:07,199
Speaker 5: ven as he always does.

3971
03:23:07,120 --> 03:23:11,000
Speaker 3: Right, Yeah, exactly perfectly what the regime wants. There's a

3972
03:23:11,080 --> 03:23:15,400
Speaker 3: lesson to portray themselves as defenders of Iranian sovereignty et cetera,

3973
03:23:15,440 --> 03:23:17,680
Speaker 3: et cetera, against American imperialism.

3974
03:23:18,440 --> 03:23:23,080
Speaker 5: Yeah, America, great Satan. Moving on, let's talk about Israel.

3975
03:23:23,680 --> 03:23:26,080
Speaker 5: Israel has threatened to withhold I think it has now

3976
03:23:26,120 --> 03:23:33,480
Speaker 5: withheld registration to operate in Gaza from Msfontierre, ox FAN

3977
03:23:33,879 --> 03:23:37,360
Speaker 5: and a number of other aid organizations. MSF I'm just

3978
03:23:37,360 --> 03:23:39,040
Speaker 5: going to quote from them called it a cynical and

3979
03:23:39,120 --> 03:23:42,240
Speaker 5: calculated attempt to prevent organizations from providing services in Gaza

3980
03:23:42,320 --> 03:23:44,240
Speaker 5: in the West Bank, which is a breach of Israel's

3981
03:23:44,240 --> 03:23:48,360
Speaker 5: obligations under international humanitarian law. It's just them trying to

3982
03:23:48,520 --> 03:23:52,840
Speaker 5: further starve people to death, right, there's no other reason.

3983
03:23:53,000 --> 03:23:55,000
Speaker 5: Like Israel has made the claim that these groups have

3984
03:23:55,080 --> 03:23:58,920
Speaker 5: been infiltrated by militants. That is a blackable conjecture, Like, yeah,

3985
03:23:59,000 --> 03:24:02,400
Speaker 5: it's a bad joke. Like I've worked for THEMSSEF and

3986
03:24:02,440 --> 03:24:06,680
Speaker 5: OXFAM all over the world. Right, there are a lot

3987
03:24:06,720 --> 03:24:08,960
Speaker 5: of criticisms of them. I would make one of them

3988
03:24:09,080 --> 03:24:11,120
Speaker 5: is not that they have been infiltration.

3989
03:24:10,760 --> 03:24:12,720
Speaker 2: By shocking on us like you're having a laugh.

3990
03:24:14,000 --> 03:24:15,400
Speaker 5: I want to do a hard episode on this.

3991
03:24:15,640 --> 03:24:16,039
Speaker 4: But like.

3992
03:24:17,600 --> 03:24:21,120
Speaker 5: When Brian talks about two plus two weekals five in

3993
03:24:21,280 --> 03:24:23,920
Speaker 5: nineteen eighty four, this is where that gets us right,

3994
03:24:24,000 --> 03:24:26,320
Speaker 5: when you can just say something that is blatantly false

3995
03:24:26,400 --> 03:24:28,920
Speaker 5: and force people to agree that it is true. And

3996
03:24:29,080 --> 03:24:31,959
Speaker 5: that is the project of genocide because it first has

3997
03:24:32,040 --> 03:24:35,640
Speaker 5: to destroy the truth to justify what it is doing.

3998
03:24:36,520 --> 03:24:40,720
Speaker 5: And we are seeing that happening. And a very brief

3999
03:24:40,879 --> 03:24:44,800
Speaker 5: migration update. Finally, in the case before George Bosberg, regarding

4000
03:24:44,840 --> 03:24:47,760
Speaker 5: the Alien Enemies Act that we've brought about before, the

4001
03:24:47,840 --> 03:24:51,360
Speaker 5: Trump administration asked for a delay because of the changing

4002
03:24:51,400 --> 03:24:54,960
Speaker 5: situation in Vents Whaler, right. I don't think there was

4003
03:24:55,000 --> 03:24:56,640
Speaker 5: them for delay so they can be like, oh, it's

4004
03:24:56,680 --> 03:24:58,320
Speaker 5: not safe for people to go back, we'd better keep

4005
03:24:58,360 --> 03:25:01,520
Speaker 5: hold of them and treat them nicely. It is nice

4006
03:25:01,560 --> 03:25:05,640
Speaker 5: suspicion that any agreement they come to with the Rodriguez

4007
03:25:05,800 --> 03:25:10,720
Speaker 5: regime will include that it must accept people back, and

4008
03:25:10,800 --> 03:25:12,720
Speaker 5: as I said in the other episode, right, these people

4009
03:25:12,760 --> 03:25:14,320
Speaker 5: are going back to a country which is a deeply

4010
03:25:14,360 --> 03:25:17,760
Speaker 5: paranoid about American spies, and they have lived in America.

4011
03:25:17,840 --> 03:25:20,240
Speaker 5: This is not going to be good for them. And

4012
03:25:20,440 --> 03:25:22,200
Speaker 5: the City of San Diego has sued the Trump in

4013
03:25:22,240 --> 03:25:26,520
Speaker 5: administration for damage to city property on Marin Valley Road

4014
03:25:26,600 --> 03:25:29,200
Speaker 5: or it's father complaint today to do so, I'm glad

4015
03:25:29,240 --> 03:25:31,640
Speaker 5: of doing it. It's also deeply hypocritical. Right Mayor Tod

4016
03:25:31,760 --> 03:25:34,280
Speaker 5: Gloria was out there asking for more border security finding

4017
03:25:34,360 --> 03:25:37,120
Speaker 5: Underbiden if he finded the office in the city which

4018
03:25:37,120 --> 03:25:40,640
Speaker 5: would welcome refugees and migrants, like, is it just a

4019
03:25:41,080 --> 03:25:41,880
Speaker 5: publicity thing?

4020
03:25:42,000 --> 03:25:42,320
Speaker 2: Probably?

4021
03:25:42,360 --> 03:25:45,720
Speaker 5: Like these people don't care. Right, when migrants were being

4022
03:25:45,720 --> 03:25:47,520
Speaker 5: held in the open air in San Diego County and

4023
03:25:47,600 --> 03:25:51,440
Speaker 5: San Diego City, these people weren't there. I'm still glad's happening.

4024
03:25:51,520 --> 03:25:53,760
Speaker 5: But don't for one second believe these people get a

4025
03:25:53,800 --> 03:25:56,240
Speaker 5: single shit about but migrants. They don't and don't for

4026
03:25:56,360 --> 03:25:58,320
Speaker 5: one second. Thing they're voting for them is voting to

4027
03:25:58,360 --> 03:26:01,480
Speaker 5: be kind to migrants, because it's not. Todd Glaorier is

4028
03:26:01,560 --> 03:26:05,520
Speaker 5: a liar, and just like everything else, he is using

4029
03:26:05,560 --> 03:26:09,000
Speaker 5: its an opportunity to promote himself and he's a terrible person.

4030
03:26:09,640 --> 03:26:11,960
Speaker 5: But yeah, in this case they are suming for trespassing

4031
03:26:12,120 --> 03:26:15,240
Speaker 5: and placing a razor wire on city property. It's city property.

4032
03:26:15,280 --> 03:26:17,160
Speaker 5: This way outside of what you would think the city

4033
03:26:17,160 --> 03:26:19,360
Speaker 5: of San Diego is. It's just adjacent to o Turnout

4034
03:26:19,400 --> 03:26:21,400
Speaker 5: and wilderness. But I think they have it there for

4035
03:26:21,560 --> 03:26:23,000
Speaker 5: water rights reasons or something.

4036
03:26:23,840 --> 03:26:26,960
Speaker 3: Brief teriff update, not tariff news this week, however, Comma

4037
03:26:27,280 --> 03:26:30,000
Speaker 3: the Supreme Court is expected to roll on the giant

4038
03:26:30,080 --> 03:26:34,400
Speaker 3: case over a wide swath of Trump's tariffs this Friday.

4039
03:26:34,600 --> 03:26:38,080
Speaker 3: So next week we will explain what happened there on

4040
03:26:38,120 --> 03:26:41,640
Speaker 3: the Fallout. As you're listening to this episode, that decision

4041
03:26:41,720 --> 03:26:44,880
Speaker 3: might have already been released. Have fun and put a

4042
03:26:44,920 --> 03:26:45,920
Speaker 3: transgirl on your couch.

4043
03:26:46,640 --> 03:26:49,080
Speaker 5: And if you were learning to email us, you can

4044
03:26:49,120 --> 03:26:52,400
Speaker 5: do so Cool Zone tips at Proton don't me. If

4045
03:26:52,400 --> 03:26:54,600
Speaker 5: you wanted to be encrypted, you should use a Proton

4046
03:26:54,680 --> 03:26:56,200
Speaker 5: mail address as well.

4047
03:26:56,879 --> 03:26:59,840
Speaker 1: And you know we reported the news.

4048
03:27:01,000 --> 03:27:01,920
Speaker 5: We reported the news.

4049
03:27:07,879 --> 03:27:11,000
Speaker 2: Hey, We'll be back Monday with more episodes every week

4050
03:27:11,120 --> 03:27:13,000
Speaker 2: from now until the heat death of the Universe.

4051
03:27:13,760 --> 03:27:14,320
Speaker 7: It could happen.

4052
03:27:14,400 --> 03:27:16,760
Speaker 6: Here is a production of Cool Zone Media. For more

4053
03:27:16,840 --> 03:27:20,760
Speaker 6: podcasts from cool Zone Media, visit our website coolzonmedia dot com,

4054
03:27:21,240 --> 03:27:24,119
Speaker 6: or check us out on the iHeartRadio app, Apple Podcasts,

4055
03:27:24,440 --> 03:27:27,200
Speaker 6: or wherever you listen to podcasts. You can now find

4056
03:27:27,280 --> 03:27:30,320
Speaker 6: sources where it could happen here listed directly in episode descriptions.

4057
03:27:30,680 --> 03:27:31,440
Speaker 1: Thanks for listening.