1
00:00:00,480 --> 00:00:05,360
Speaker 1: Hello, zeich Gang, and welcome to the end of the year.

2
00:00:05,800 --> 00:00:08,400
Speaker 1: During these two weeks surrounding Christmas and the New Year,

3
00:00:08,400 --> 00:00:11,160
Speaker 1: we take some time off. During the mornings, we'll run

4
00:00:11,200 --> 00:00:13,840
Speaker 1: some new holiday and end of the year content that

5
00:00:13,880 --> 00:00:15,760
Speaker 1: you can listen to while we're taking a break. In

6
00:00:15,800 --> 00:00:18,400
Speaker 1: addition to all that stuff, in the afternoons, where we

7
00:00:18,440 --> 00:00:22,560
Speaker 1: would usually drop the Trends episode, we are rerunning the

8
00:00:22,680 --> 00:00:27,760
Speaker 1: ten most popular episodes of this year according to you.

9
00:00:27,760 --> 00:00:32,720
Speaker 1: You voted with your dang years and we listened with ours. Actually,

10
00:00:32,800 --> 00:00:36,120
Speaker 1: we looked at the data we're spying on you. Honestly,

11
00:00:36,240 --> 00:00:39,919
Speaker 1: I'm mostly in this podcasting thing for the rich marketing

12
00:00:40,000 --> 00:00:43,479
Speaker 1: data it provides to me about each and every one

13
00:00:43,520 --> 00:00:45,680
Speaker 1: of you. At the end of the year, when I

14
00:00:45,760 --> 00:00:49,599
Speaker 1: look back to see what made the top ten, and

15
00:00:49,640 --> 00:00:52,000
Speaker 1: this was actually my favorite year to look back at,

16
00:00:52,360 --> 00:00:55,840
Speaker 1: our top ten is full of episodes I feel like

17
00:00:55,920 --> 00:00:59,080
Speaker 1: made it because of a bunch of different reasons. There

18
00:00:59,080 --> 00:01:03,520
Speaker 1: are some episodes that dropped after huge news events. There

19
00:01:03,560 --> 00:01:07,480
Speaker 1: are some first episodes that dropped right after some hilarious

20
00:01:07,520 --> 00:01:11,720
Speaker 1: news events, some great new guests, some classic fan favorite guests,

21
00:01:12,040 --> 00:01:14,399
Speaker 1: and some new formats we tried out that We're very

22
00:01:14,400 --> 00:01:17,000
Speaker 1: excited to see that you guys enjoyed. Before we get

23
00:01:17,040 --> 00:01:20,039
Speaker 1: into it, I just want to thank you guys for

24
00:01:20,240 --> 00:01:23,760
Speaker 1: once again being such a cool community that's bloomed up

25
00:01:23,760 --> 00:01:26,480
Speaker 1: around this podcast we've been doing all these years. You

26
00:01:26,520 --> 00:01:30,119
Speaker 1: guys repeatedly make us proud. You're there for us when

27
00:01:30,160 --> 00:01:32,880
Speaker 1: we go through some really difficult shit. You show up

28
00:01:32,920 --> 00:01:36,479
Speaker 1: at shows of our guests, and we always get great

29
00:01:36,560 --> 00:01:41,000
Speaker 1: reports from our guests about our listeners. You are the

30
00:01:41,480 --> 00:01:44,480
Speaker 1: rare podcast audience that makes us extremely proud to have

31
00:01:44,560 --> 00:01:48,760
Speaker 1: you as listeners so far, So don't fuck this up,

32
00:01:48,840 --> 00:01:52,120
Speaker 1: you guys. All right, and without further ado, Episode number five,

33
00:01:52,200 --> 00:01:55,680
Speaker 1: the fifth most popular episode of the year, Mega Versus

34
00:01:55,680 --> 00:01:59,720
Speaker 1: Mega comma Us equals cause of solution to all of

35
00:01:59,760 --> 00:02:03,560
Speaker 1: Earth this problem, and it features one of their aforementioned

36
00:02:03,720 --> 00:02:08,120
Speaker 1: classic fan favorite guests, Andrew t Enjoy.

37
00:02:10,480 --> 00:02:14,919
Speaker 2: Hello, ram By, Yeah, all right, bye By.

38
00:02:18,000 --> 00:02:21,440
Speaker 1: What it's like to work on the show, Hello By, Yeah,

39
00:02:21,639 --> 00:02:29,200
Speaker 1: Hello ram By? Hello Andrew, Hello and Andrew you what

40
00:02:29,480 --> 00:02:33,560
Speaker 1: happened to you? Guys? Are you doing that? You're just

41
00:02:33,639 --> 00:02:36,520
Speaker 1: pushed us over the brink? Were not that? By? Oh

42
00:02:36,560 --> 00:02:44,200
Speaker 1: I've got terrible sleep deprivation. Man, sleep deprivation. Andrew, it's

43
00:02:44,320 --> 00:02:49,640
Speaker 1: CIA black site levels, mate, maybe not maybe not that bad.

44
00:02:50,320 --> 00:02:52,160
Speaker 1: Maybe not in a CIA black site.

45
00:02:52,720 --> 00:02:57,160
Speaker 3: Ah man, this is wonderful energy to come into.

46
00:02:57,720 --> 00:03:00,400
Speaker 1: I'm so I'm in a state of deli him from

47
00:03:00,480 --> 00:03:03,440
Speaker 1: lack of sleep over the last I have like accumulated

48
00:03:03,480 --> 00:03:07,000
Speaker 1: maybe five hours of sleep since my fuck wait what

49
00:03:07,080 --> 00:03:16,600
Speaker 1: happened my fucking kid by my fucking baby steight his crib.

50
00:03:17,560 --> 00:03:19,079
Speaker 1: So we had to get the dang we had to

51
00:03:19,120 --> 00:03:22,359
Speaker 1: get the total the bed out for him, total the

52
00:03:22,400 --> 00:03:24,639
Speaker 1: bed out for him, even just skyped the bluddy thing.

53
00:03:25,919 --> 00:03:28,120
Speaker 1: H Yeah. It's just like he's just so free now.

54
00:03:28,960 --> 00:03:31,240
Speaker 2: But also like this is all part of his development's

55
00:03:31,240 --> 00:03:33,280
Speaker 2: now fully in that thing, and like bird can fly

56
00:03:33,720 --> 00:03:35,360
Speaker 2: and he's.

57
00:03:35,240 --> 00:03:38,640
Speaker 1: Just like, what are you doing? What's that? What's that? Yeah,

58
00:03:38,680 --> 00:03:41,840
Speaker 1: it's just fucking it's crazy over here. Yeah, all right,

59
00:03:41,880 --> 00:03:49,080
Speaker 1: let's do this. Okay. Yeah, Well I was just that's

60
00:03:49,120 --> 00:03:52,720
Speaker 1: not not a typical well not that I mean, were

61
00:03:53,160 --> 00:03:58,560
Speaker 1: screaming at Bay. There's a lot of insanity accent, I think,

62
00:03:58,640 --> 00:04:02,280
Speaker 1: just all the dumb accents stuff, all right, Dama, and

63
00:04:02,280 --> 00:04:07,840
Speaker 1: then Andrew asking why are energy? Yeah, he doesn't need

64
00:04:07,880 --> 00:04:09,040
Speaker 1: to be a typical.

65
00:04:08,840 --> 00:04:12,640
Speaker 3: Just yeah, not a typical week, not a typical show.

66
00:04:13,000 --> 00:04:13,520
Speaker 1: Yeah, I don't go.

67
00:04:13,840 --> 00:04:15,560
Speaker 2: I don't have much in the tank, man, That's pretty

68
00:04:15,600 --> 00:04:18,880
Speaker 2: much all I can give you the tank. I'm Hank

69
00:04:18,960 --> 00:04:20,040
Speaker 2: the fucking tank right.

70
00:04:19,960 --> 00:04:24,360
Speaker 1: Now, the finest Hank the tank. Yeah, it's me, Hank,

71
00:04:24,440 --> 00:04:28,279
Speaker 1: the Hank Engine, Thomas, the Hank Engine. Is that a thing?

72
00:04:28,400 --> 00:04:36,279
Speaker 1: Can we use that? I have nothing in the tank? Two?

73
00:04:36,400 --> 00:04:39,600
Speaker 1: Is that a thing? I think feels like all I

74
00:04:39,600 --> 00:04:42,400
Speaker 1: have nothing in the tank too? Is that a thing?

75
00:04:42,720 --> 00:04:58,440
Speaker 1: Pipeline Hell, the Internet and welcome in ninety three, Episode

76
00:04:58,520 --> 00:05:04,120
Speaker 1: four of It's a production of iHeartRadio. It's a podcast

77
00:05:04,160 --> 00:05:06,279
Speaker 1: where we take a deep gab into America share consciouness.

78
00:05:06,680 --> 00:05:11,680
Speaker 1: And it is Thursday, June nineteenth, twenty twenty five. Yes,

79
00:05:11,880 --> 00:05:16,400
Speaker 1: it's juneteen. Hey, unless you're corporate America, then it's just Thursday,

80
00:05:16,960 --> 00:05:22,440
Speaker 1: n Thursday. We're off. We're off obviously, so no episode tomorrow,

81
00:05:22,640 --> 00:05:26,800
Speaker 1: episode asking exactly that's where we went. But yeah, again,

82
00:05:27,000 --> 00:05:28,480
Speaker 1: if you don't know what you should know a fucking

83
00:05:28,520 --> 00:05:30,000
Speaker 1: juneteenth this, I'm not here to fuck it. If you

84
00:05:30,000 --> 00:05:31,640
Speaker 1: don't know, come on now, educate yourself.

85
00:05:31,640 --> 00:05:35,760
Speaker 2: And it's also World Sauntering Day, which feels like aggressive

86
00:05:35,839 --> 00:05:38,960
Speaker 2: to juxtapos teens with being like, hey, why do you

87
00:05:39,000 --> 00:05:41,720
Speaker 2: just take like a casual, fancy free.

88
00:05:41,400 --> 00:05:44,320
Speaker 1: Walk on this day and then like the best description

89
00:05:44,400 --> 00:05:49,239
Speaker 1: of the Gate of the the slave owners sauntering around.

90
00:05:49,400 --> 00:05:52,280
Speaker 2: Yeah, you know, oh my god, day for sauntering. It

91
00:05:52,360 --> 00:05:55,520
Speaker 2: says slow down. In fact, try mosying around on June nineteen.

92
00:05:55,600 --> 00:05:58,000
Speaker 1: All right, oh whoa, whoa, whoa, whoaah. I thought most

93
00:05:58,120 --> 00:06:01,400
Speaker 1: day was coming out of violence. Yeah, I know, I know,

94
00:06:01,720 --> 00:06:04,919
Speaker 1: I know. Anyway, we see you shout out black people,

95
00:06:04,960 --> 00:06:08,680
Speaker 1: shout out, you know, freedom for the moment, for the moment,

96
00:06:09,040 --> 00:06:13,960
Speaker 1: for the moment. As my favorite freedom fighter Mel Gibson

97
00:06:13,960 --> 00:06:17,360
Speaker 1: one said, oh you know, yeah, all right, my name

98
00:06:17,400 --> 00:06:22,200
Speaker 1: is Jack O'Brien. Akay, we start World War three. I

99
00:06:22,320 --> 00:06:28,560
Speaker 1: got it in Yahoo with me. We start World War three. Congress,

100
00:06:28,600 --> 00:06:32,279
Speaker 1: they can suck on my peen one. Courtesy of Nick

101
00:06:32,360 --> 00:06:39,040
Speaker 1: cepper Tyrannis Nick Simper Tyrannis on the discord. A bit

102
00:06:39,080 --> 00:06:42,240
Speaker 1: of the Nick temper Tyrannis on the discord, I think

103
00:06:42,279 --> 00:06:47,120
Speaker 1: written from the perspective of I don't know one Donald Trump, Yeah,

104
00:06:48,360 --> 00:06:54,280
Speaker 1: g vance, yeah, this is this was the fear all

105
00:06:54,320 --> 00:06:58,000
Speaker 1: along camp. The dipshit in there he's gonna start World

106
00:06:58,040 --> 00:07:01,320
Speaker 1: War three because somebody will mean to him because we

107
00:07:01,400 --> 00:07:03,880
Speaker 1: did a protest those mean to him, and he's like,

108
00:07:03,920 --> 00:07:08,000
Speaker 1: oh yeah, well check this ship out. I'm right now out.

109
00:07:08,240 --> 00:07:11,480
Speaker 1: Yeah you think I'm baby. Anyways, I'm thrilled to be

110
00:07:11,560 --> 00:07:12,920
Speaker 1: joined as always.

111
00:07:12,680 --> 00:07:16,880
Speaker 2: By my co host, mister Miles Gray, Miles Great, the

112
00:07:16,880 --> 00:07:20,120
Speaker 2: Showgun with No Gun, the mostly deprived dude in the

113
00:07:20,160 --> 00:07:22,880
Speaker 2: San Fernando Valley. At the moment, I do want to

114
00:07:22,920 --> 00:07:25,679
Speaker 2: shout out all that gang who's reached out through many

115
00:07:25,840 --> 00:07:29,880
Speaker 2: channels on social media. If someone even posted, like I

116
00:07:29,920 --> 00:07:32,280
Speaker 2: saw a thing on Reddit where people were trying to

117
00:07:32,320 --> 00:07:37,440
Speaker 2: give you advice, it's like a whole love thank you so.

118
00:07:37,480 --> 00:07:39,080
Speaker 1: Much training for Miles.

119
00:07:39,360 --> 00:07:42,680
Speaker 2: Yeah yeah, yeah, so again, thank you, thank you for

120
00:07:42,720 --> 00:07:43,280
Speaker 2: all the tips.

121
00:07:43,320 --> 00:07:46,600
Speaker 1: I'm still in the trenches as it were, but I

122
00:07:46,680 --> 00:07:49,440
Speaker 1: will say overwhelmingly they seem to be give give the

123
00:07:49,480 --> 00:07:51,760
Speaker 1: baby a weed gummy, and I just I feel like

124
00:07:51,840 --> 00:07:55,960
Speaker 1: that's not I think we should we should knock that show.

125
00:07:56,200 --> 00:07:59,600
Speaker 1: Encouraged child abuse. Yeah yeah, yeah, I'm not going to

126
00:07:59,640 --> 00:08:01,760
Speaker 1: do that, but I am doing like there have been

127
00:08:01,800 --> 00:08:04,240
Speaker 1: many variations on like just just kind of hit just

128
00:08:04,240 --> 00:08:07,120
Speaker 1: fucking hang out a little bit they fall asleep. I've

129
00:08:07,160 --> 00:08:08,760
Speaker 1: been trying to that. But then he does the thing

130
00:08:08,920 --> 00:08:10,960
Speaker 1: Jack like you said your kid did the second I

131
00:08:11,080 --> 00:08:13,160
Speaker 1: shift the weight where you go where you.

132
00:08:14,720 --> 00:08:14,960
Speaker 3: Man?

133
00:08:15,320 --> 00:08:18,800
Speaker 2: Oh, yeah, it's it's it's wild, but we're we're I'm

134
00:08:18,800 --> 00:08:19,520
Speaker 2: finding a balance.

135
00:08:19,520 --> 00:08:22,360
Speaker 1: It's wild. I also, I get so clear in the

136
00:08:22,360 --> 00:08:24,640
Speaker 1: middle of the night where I'm like barely asleep. I'm

137
00:08:24,640 --> 00:08:27,320
Speaker 1: like sort of this like lucid state where a lot

138
00:08:27,320 --> 00:08:30,240
Speaker 1: of really too bad ideas come to my mind that

139
00:08:30,320 --> 00:08:32,120
Speaker 1: I that I think will make a good cold open

140
00:08:32,480 --> 00:08:33,079
Speaker 1: and they don't.

141
00:08:32,920 --> 00:08:36,040
Speaker 3: Try to start night podcasting. Just keep a little just

142
00:08:36,120 --> 00:08:38,400
Speaker 3: like whisper your phone night casting.

143
00:08:38,679 --> 00:08:39,760
Speaker 1: Baby still won't sleep.

144
00:08:39,800 --> 00:08:41,320
Speaker 2: Hey man, you got something to say, You got something

145
00:08:41,360 --> 00:08:44,079
Speaker 2: to say that you don't go fuck?

146
00:08:47,280 --> 00:08:49,240
Speaker 1: Yeah, man, I had something to say. I'm also a

147
00:08:49,240 --> 00:08:51,960
Speaker 1: little sleep deprepped, so I had a thing to say

148
00:08:52,120 --> 00:08:53,400
Speaker 1: that left my brain.

149
00:08:53,880 --> 00:08:54,880
Speaker 3: I'm gonna tell you guys this.

150
00:08:55,440 --> 00:08:58,400
Speaker 1: I feel great. I got funny to sleep. Yeah, at

151
00:08:58,480 --> 00:09:01,200
Speaker 1: least look one out of three am. So that's right.

152
00:09:01,320 --> 00:09:03,240
Speaker 3: I'm well rested, but under prepared.

153
00:09:03,480 --> 00:09:03,960
Speaker 1: Don't worry.

154
00:09:03,960 --> 00:09:06,599
Speaker 2: I'm gonna tap into something. I'm tapping into something to

155
00:09:06,720 --> 00:09:08,200
Speaker 2: keep this show fucking elevator.

156
00:09:08,280 --> 00:09:11,600
Speaker 1: Let's fucking go. Yeah. Oh, I remember what I was

157
00:09:11,600 --> 00:09:15,160
Speaker 1: gonna say. I remember this period of my life when

158
00:09:15,559 --> 00:09:22,080
Speaker 1: my life constantly Malfe shout out to Mela delirious having

159
00:09:22,120 --> 00:09:25,760
Speaker 1: a new found appreciation for the drugs that your brain

160
00:09:26,679 --> 00:09:29,800
Speaker 1: like dumps into your bloodstream as you're falling asleep, you know,

161
00:09:30,320 --> 00:09:33,640
Speaker 1: like that that lucid clarity where you just like get

162
00:09:33,679 --> 00:09:35,880
Speaker 1: to know sleep a little bit better because you're kind

163
00:09:35,920 --> 00:09:38,280
Speaker 1: of constantly like in and out of it, you know.

164
00:09:38,800 --> 00:09:40,560
Speaker 1: And then like that was the first time I had

165
00:09:40,559 --> 00:09:43,600
Speaker 1: a real appreciation. It's like, oh, like all the drugs

166
00:09:43,640 --> 00:09:46,000
Speaker 1: that we do are just like trying to get back

167
00:09:46,040 --> 00:09:49,679
Speaker 1: to what our yeah, what our brain naturally does for us,

168
00:09:49,720 --> 00:09:53,560
Speaker 1: where it's just like and you're high, like that's what

169
00:09:53,640 --> 00:09:56,160
Speaker 1: dreams are. It's just like you are so high right

170
00:09:56,200 --> 00:10:00,959
Speaker 1: now and floating away on a stream of brain cameicals enjoy.

171
00:10:01,040 --> 00:10:01,840
Speaker 1: Does that make sense?

172
00:10:01,880 --> 00:10:05,200
Speaker 3: Well, because because the drugs don't create the chemicals, they

173
00:10:05,320 --> 00:10:07,120
Speaker 3: just squeezing it out that.

174
00:10:08,880 --> 00:10:09,520
Speaker 1: Gives your brain.

175
00:10:10,720 --> 00:10:12,679
Speaker 2: I don't think it's Yeah, it's not that M D

176
00:10:12,880 --> 00:10:15,079
Speaker 2: M A that I'm looking for. I needed to squeeze

177
00:10:15,080 --> 00:10:18,839
Speaker 2: all the Sarah Tonin and neuro out of my fucking brain.

178
00:10:19,160 --> 00:10:22,880
Speaker 3: And then I WHOA, right, I just said the most

179
00:10:23,040 --> 00:10:27,520
Speaker 3: freshman in college version of realizing how drugs were so

180
00:10:27,800 --> 00:10:30,959
Speaker 3: having taken the bog hit, I am now philosophizing it.

181
00:10:31,280 --> 00:10:34,520
Speaker 1: The freshman in college bung hit. Like first bung hit

182
00:10:34,679 --> 00:10:41,640
Speaker 1: conversations are vastly underrated. That's that's the good stuff. That's yours.

183
00:10:42,000 --> 00:10:44,400
Speaker 1: If you could just be like, bro, we've taped like

184
00:10:44,520 --> 00:10:47,720
Speaker 1: it is. That's what this is, all right, that's true.

185
00:10:48,120 --> 00:10:50,520
Speaker 1: That's the level I operate at.

186
00:10:50,600 --> 00:10:51,120
Speaker 4: I don't like.

187
00:10:51,440 --> 00:10:53,840
Speaker 3: I don't like podcasts where people know ship.

188
00:10:53,960 --> 00:10:58,040
Speaker 1: Yeah liearly in the like crazy idea I had well

189
00:10:58,120 --> 00:11:01,400
Speaker 1: looking at a pink Floyd poster. Yeah yeah, And for

190
00:11:01,520 --> 00:11:05,839
Speaker 1: me it's wild, reckless speculation. That's right, quick thing a

191
00:11:05,880 --> 00:11:09,560
Speaker 1: bunch of new listeners for some reason, maybe the dissolution

192
00:11:09,679 --> 00:11:14,360
Speaker 1: of the mainstream media impending fascism. But hi, welcome and

193
00:11:14,559 --> 00:11:17,560
Speaker 1: uh yeah, if people like the show, rate review it,

194
00:11:17,640 --> 00:11:19,720
Speaker 1: tell your friend about it, got help, Thanks for thanks

195
00:11:19,720 --> 00:11:22,319
Speaker 1: for listening. Yeah, thank you a chance on this group

196
00:11:22,360 --> 00:11:28,599
Speaker 1: of thanks for taking us right now. It's also conversation.

197
00:11:28,640 --> 00:11:34,079
Speaker 1: It's just like so volatile, didn't you Miles were thrilled

198
00:11:34,080 --> 00:11:36,480
Speaker 1: to be joined in the third our third seat, but

199
00:11:36,760 --> 00:11:39,000
Speaker 1: one of our favorites, one of the very faces on

200
00:11:39,080 --> 00:11:42,880
Speaker 1: Mount Zite wore a hilarious and brilliant producer, TV writer

201
00:11:43,520 --> 00:11:45,839
Speaker 1: you know from the Yos This racist podcast one of

202
00:11:45,880 --> 00:11:48,880
Speaker 1: the all time great podcasts. It's Andrew and.

203
00:11:50,360 --> 00:11:52,920
Speaker 3: I didn't refer to Ka Ta, but normally I will

204
00:11:52,960 --> 00:11:55,240
Speaker 3: say this, I usually plug it in quite a bit

205
00:11:55,280 --> 00:11:58,040
Speaker 3: of effort trying to come up with a song. I

206
00:11:58,080 --> 00:12:01,360
Speaker 3: did peruse briefly the Discord. New listeners, go check out

207
00:12:01,360 --> 00:12:04,240
Speaker 3: the Discord. Still more pissed talk than I would have thought.

208
00:12:04,480 --> 00:12:07,000
Speaker 1: Yeah, no, you gave them a nice talking to the

209
00:12:07,080 --> 00:12:09,080
Speaker 1: last time you were on. You were like to the

210
00:12:09,679 --> 00:12:11,880
Speaker 1: go to the AKA thing. They took that as like

211
00:12:11,920 --> 00:12:15,319
Speaker 1: a personal challenge, which I kind of respect, where they're

212
00:12:15,360 --> 00:12:18,760
Speaker 1: just like, yeah, oh yeah. They called out the fact

213
00:12:18,800 --> 00:12:23,520
Speaker 1: that three years probably longer, four years after Jack told

214
00:12:23,520 --> 00:12:28,120
Speaker 1: this anecdote, we're still just writing lyrics about pissing his

215
00:12:28,200 --> 00:12:32,320
Speaker 1: pants and pretending of his water ice. We're gonna do

216
00:12:32,320 --> 00:12:33,679
Speaker 1: that even more.

217
00:12:34,160 --> 00:12:38,160
Speaker 3: Yeah, yeah, sorry, I'm just okay. Next time I'm on

218
00:12:38,160 --> 00:12:41,240
Speaker 3: the show, my mission will be to tell a personal,

219
00:12:41,320 --> 00:12:46,559
Speaker 3: bodily fluid anecdote extremity, even more extremity that.

220
00:12:46,920 --> 00:12:49,360
Speaker 1: It doesn't need to be more. Yeah, although money is

221
00:12:49,440 --> 00:12:52,760
Speaker 1: pretty unextreme, because I'm pretty sure you pissed my pants.

222
00:12:52,920 --> 00:12:54,280
Speaker 1: I'm pretty sure it was, just like.

223
00:12:54,840 --> 00:12:58,760
Speaker 3: Yours is the lowest wrong of embarrassing thing. I just

224
00:12:58,800 --> 00:12:59,719
Speaker 3: thought we could beat it.

225
00:12:59,760 --> 00:13:00,800
Speaker 1: I just say we can beat it.

226
00:13:00,880 --> 00:13:05,760
Speaker 3: I'm the throne I'm gutting for is relentless inside joke

227
00:13:05,920 --> 00:13:10,240
Speaker 3: on the AKA. I'm already impenetrable. Akah, I'm pretty sure.

228
00:13:10,320 --> 00:13:12,320
Speaker 3: I like, I know for a fact, I can be.

229
00:13:12,440 --> 00:13:15,560
Speaker 1: There are plenty of story, embarrassing, humiliating stories from my

230
00:13:15,600 --> 00:13:18,199
Speaker 1: life that I just haven't told yet. So it's we're

231
00:13:18,240 --> 00:13:22,600
Speaker 1: we're dulling these out. This is an arms right, man.

232
00:13:22,760 --> 00:13:26,000
Speaker 1: When I was drinking too much, boy, oh boy, did

233
00:13:26,080 --> 00:13:30,120
Speaker 1: I do some humiliating things, folks. You'll find out about

234
00:13:30,120 --> 00:13:35,400
Speaker 1: that in the years to come. I know, not me anyway.

235
00:13:35,480 --> 00:13:37,760
Speaker 1: It's really great new listeners material.

236
00:13:38,040 --> 00:13:42,880
Speaker 3: This is impenetrable lore, inside jokes.

237
00:13:43,040 --> 00:13:45,160
Speaker 1: That's right, That's that's what we're here for.

238
00:13:45,520 --> 00:13:48,520
Speaker 2: Wonderful, Welcome to the show.

239
00:13:49,000 --> 00:13:52,640
Speaker 1: Welcome and now get the fuck out of here. Andrew.

240
00:13:52,960 --> 00:13:54,280
Speaker 1: We're thrilled to have you. We're going to get to

241
00:13:54,280 --> 00:13:55,840
Speaker 1: know you a little bit better in a moment. First,

242
00:13:55,880 --> 00:13:57,240
Speaker 1: we're going to tell the listeners a couple of the

243
00:13:57,320 --> 00:13:59,800
Speaker 1: things that we're talking about. We're gonna just take a

244
00:13:59,800 --> 00:14:03,520
Speaker 1: look the general state of the world. How you know,

245
00:14:04,040 --> 00:14:08,440
Speaker 1: we're seeing some bad things happen, and we're generally not

246
00:14:08,600 --> 00:14:11,600
Speaker 1: good at looking running the tape back to see where

247
00:14:11,600 --> 00:14:15,440
Speaker 1: that where those bad things from. Yep, But we're gonna

248
00:14:15,440 --> 00:14:18,960
Speaker 1: we're gonna look at a couple the two big ones, Yeah,

249
00:14:19,040 --> 00:14:25,000
Speaker 1: the Ice Raids and the war with Iran, the war

250
00:14:25,160 --> 00:14:30,080
Speaker 1: being waged on Iran. We're gonna look at both of

251
00:14:30,080 --> 00:14:33,480
Speaker 1: those situations and whether the US had anything to do with.

252
00:14:33,400 --> 00:14:37,200
Speaker 2: The anything, anything, anything at all, probably anything at all.

253
00:14:37,280 --> 00:14:40,040
Speaker 1: Yeah, we're just here. Things are happening to us.

254
00:14:39,760 --> 00:14:42,560
Speaker 2: Not the American boomerang striking us right in the face

255
00:14:42,600 --> 00:14:44,320
Speaker 2: again camp, Yeah, at this time.

256
00:14:44,760 --> 00:14:47,040
Speaker 1: So we'll talk about that. We'll also talk about why

257
00:14:47,080 --> 00:14:49,920
Speaker 1: we like Tucker Carlson. Now, no that's not true.

258
00:14:49,760 --> 00:14:52,080
Speaker 3: But Carlson, welcome to the Resistance.

259
00:14:53,160 --> 00:14:55,000
Speaker 1: Won't know how many times I've seen that tweeted. Now

260
00:14:55,240 --> 00:15:00,760
Speaker 1: I'm one of our new listeners. Yeah, I'm the brunch

261
00:15:00,840 --> 00:15:06,240
Speaker 1: Now the Live cookout is brunch.

262
00:15:07,000 --> 00:15:11,840
Speaker 3: We need these people that the cookout, but the people

263
00:15:11,840 --> 00:15:13,800
Speaker 3: who say talker Carls and welcome to brunch.

264
00:15:13,880 --> 00:15:17,680
Speaker 1: I know exactly we need the If kam led one,

265
00:15:17,680 --> 00:15:19,640
Speaker 1: we'd all be at brunch right now. We need them,

266
00:15:19,840 --> 00:15:23,240
Speaker 1: We need them to watch to Wide ten. I don't

267
00:15:23,280 --> 00:15:25,160
Speaker 1: have to like them, though, and I'm going to talk

268
00:15:25,480 --> 00:15:28,200
Speaker 1: med ship about them and you can. But look, we

269
00:15:28,240 --> 00:15:32,920
Speaker 1: got to say focus, man, it's about We'll talk about that.

270
00:15:33,280 --> 00:15:35,920
Speaker 1: There's some there's an article in the New York Times

271
00:15:35,960 --> 00:15:40,720
Speaker 1: just talking just giving some anecdotes and then some research

272
00:15:41,040 --> 00:15:46,160
Speaker 1: about how people are interacting with chat, GPT and large

273
00:15:46,400 --> 00:15:53,000
Speaker 1: large language models. That pretty fun, pretty wild. I'm always

274
00:15:53,000 --> 00:15:58,560
Speaker 1: skeptical about these because I remember an era when the

275
00:15:58,760 --> 00:16:02,600
Speaker 1: mainstream media was just homing the crime bladder for any

276
00:16:02,760 --> 00:16:05,800
Speaker 1: crime that was committed that was in any way tangentially

277
00:16:06,120 --> 00:16:10,440
Speaker 1: related to either video games or internet. Chat rooms would

278
00:16:10,480 --> 00:16:14,320
Speaker 1: be like chat room murder, you know, like and so

279
00:16:14,560 --> 00:16:17,120
Speaker 1: I don't want to fall into that. On the other hand,

280
00:16:17,160 --> 00:16:21,640
Speaker 1: this stuff is pretty unique to chat, GBT and AI,

281
00:16:21,960 --> 00:16:23,840
Speaker 1: and it's it's.

282
00:16:23,640 --> 00:16:24,840
Speaker 3: Worked ahead a little bit.

283
00:16:24,880 --> 00:16:26,000
Speaker 1: I don't think it is. Man.

284
00:16:26,200 --> 00:16:31,080
Speaker 3: People are saying, fucking Eliza in the nineties, that's true. Yeah,

285
00:16:30,760 --> 00:16:33,880
Speaker 3: I think we're just what we're like.

286
00:16:34,040 --> 00:16:39,880
Speaker 1: They are nonetheless very entertaining, encouraging you to do harm

287
00:16:39,920 --> 00:16:42,160
Speaker 1: to yourself, which in a lot of cases, which is

288
00:16:42,200 --> 00:16:46,080
Speaker 1: not entertaining. And Ozzy Osbourne's DNA you can go buy that,

289
00:16:46,680 --> 00:16:48,920
Speaker 1: uh fortunately just to saliva.

290
00:16:49,240 --> 00:16:49,440
Speaker 3: Ah.

291
00:16:50,080 --> 00:16:52,480
Speaker 1: No, that's fine. Whatever you find under your faer nail,

292
00:16:52,600 --> 00:16:57,120
Speaker 1: your come Ozzy Osbourne. Yeah, Ozzy Osbourne, it's just what.

293
00:16:57,960 --> 00:17:00,240
Speaker 1: He doesn't even have DNA at this point. I'm pretty

294
00:17:00,280 --> 00:17:04,800
Speaker 1: sure he's like a Misshousehold, we believe. Give me your

295
00:17:04,880 --> 00:17:09,840
Speaker 1: come as Osborne. All right, Andrew, welcome new listeners, all

296
00:17:09,880 --> 00:17:10,800
Speaker 1: of that plenty more.

297
00:17:11,680 --> 00:17:15,560
Speaker 3: I feel like you guys took this as a challenge

298
00:17:15,800 --> 00:17:16,440
Speaker 3: as much as.

299
00:17:19,640 --> 00:17:20,160
Speaker 1: You know all my.

300
00:17:20,119 --> 00:17:22,120
Speaker 3: Ship is going to be weird and dumb.

301
00:17:22,400 --> 00:17:26,840
Speaker 1: Yeah, so good, so perfect, strap in, strap in assholes. Uh, Andrew,

302
00:17:26,880 --> 00:17:29,520
Speaker 1: with something from your search history that's revealing about who

303
00:17:29,520 --> 00:17:29,760
Speaker 1: you are?

304
00:17:30,359 --> 00:17:34,720
Speaker 3: I started, Uh. I guess the best way to say

305
00:17:34,760 --> 00:17:39,560
Speaker 3: this is is it like best this This is just

306
00:17:39,560 --> 00:17:43,040
Speaker 3: an amalgamation of quite a long couple of minutes of searching,

307
00:17:43,640 --> 00:17:47,640
Speaker 3: but best container for steaming vegetables in a microwave. I've

308
00:17:47,640 --> 00:17:49,840
Speaker 3: become a microwave steaming motherfucker.

309
00:17:49,960 --> 00:17:53,959
Speaker 1: Oh wow, steam and Willie Beamon over here exactly.

310
00:17:54,840 --> 00:17:58,960
Speaker 3: I visited my sister who is like a new Ish mom,

311
00:17:59,440 --> 00:18:01,480
Speaker 3: and she's just like, chop up.

312
00:18:01,440 --> 00:18:04,159
Speaker 1: The broccoli, put it in the microwave. Let's learn a

313
00:18:04,240 --> 00:18:08,480
Speaker 1: lesson about efficiency. So good.

314
00:18:08,520 --> 00:18:11,679
Speaker 3: Yeah, it really like I was like, oh, this is

315
00:18:11,760 --> 00:18:16,640
Speaker 3: fucking honestly amazing, and I just wanted to make sure.

316
00:18:17,240 --> 00:18:20,280
Speaker 3: I don't know, I feel like I'm like like definitively

317
00:18:20,359 --> 00:18:25,160
Speaker 3: like barn door after the microplastics have like deeply invaded

318
00:18:25,160 --> 00:18:28,280
Speaker 3: my brain already. But I got like cold feet about

319
00:18:28,320 --> 00:18:31,040
Speaker 3: the vessel I was using a microwave. My vegetables did,

320
00:18:31,400 --> 00:18:32,840
Speaker 3: so I had to. I had to go down that

321
00:18:32,920 --> 00:18:35,199
Speaker 3: rabbit hole a little bit. But yeah, it's been mostly

322
00:18:35,280 --> 00:18:39,240
Speaker 3: saran wrap and with my yeah, glass bowl.

323
00:18:40,040 --> 00:18:43,160
Speaker 1: That's because it does it every time. That works for me. Yeah. Yeah,

324
00:18:43,200 --> 00:18:48,639
Speaker 1: I use a milar balloon usually good. I actually use

325
00:18:49,200 --> 00:18:54,680
Speaker 1: car going out every time. I created a bowl out

326
00:18:54,720 --> 00:18:57,119
Speaker 1: of just pure Scotch guard. I like, you put my

327
00:18:57,200 --> 00:18:59,760
Speaker 1: hand in a bowl shape and Scotch guard the inside

328
00:18:59,760 --> 00:19:00,639
Speaker 1: of my hands.

329
00:19:00,680 --> 00:19:03,280
Speaker 3: And like a little bowl and that's, oh my god,

330
00:19:03,320 --> 00:19:06,080
Speaker 3: that's beautiful. And then into the microwaves was.

331
00:19:06,040 --> 00:19:09,080
Speaker 1: The original Forever chemical I think, right, that's like the

332
00:19:09,080 --> 00:19:13,400
Speaker 1: one that three M made, and like, yeah, people were

333
00:19:13,440 --> 00:19:17,359
Speaker 1: like immediately like if you lived anywhere that Scotch card

334
00:19:17,560 --> 00:19:21,000
Speaker 1: was during the fifties, you have this in your that

335
00:19:21,600 --> 00:19:22,000
Speaker 1: was just.

336
00:19:22,040 --> 00:19:25,480
Speaker 3: Like like tape for the inside of your veins basically.

337
00:19:26,960 --> 00:19:32,200
Speaker 1: Exactly. It's just like like scotch tape but inside. Yeah,

338
00:19:33,600 --> 00:19:36,960
Speaker 1: what if you had just like liquid scotch tape running

339
00:19:37,000 --> 00:19:38,160
Speaker 1: throughout your body?

340
00:19:38,119 --> 00:19:41,520
Speaker 3: Yeah, I know, I'm trying to stay in the like,

341
00:19:42,560 --> 00:19:46,639
Speaker 3: you know, unintended consequences maybe positive thing. I'm one, you know,

342
00:19:46,760 --> 00:19:49,560
Speaker 3: obviously this can't be good. It's a little bit of

343
00:19:49,720 --> 00:19:52,800
Speaker 3: the same as the you know, chat GPT brain poison thing.

344
00:19:52,880 --> 00:19:55,840
Speaker 3: But I'm just like, I don't know, on some level,

345
00:19:55,920 --> 00:19:57,760
Speaker 3: maybe you know, maybe we're going to find out that

346
00:19:57,800 --> 00:20:00,200
Speaker 3: people with all this scotch guard in their blood at

347
00:20:00,200 --> 00:20:03,560
Speaker 3: fewer strokes or I guess what's more likely, way, way,

348
00:20:03,600 --> 00:20:04,520
Speaker 3: way more strokes.

349
00:20:04,760 --> 00:20:08,720
Speaker 1: Yeah, now fewer our blood more slippery. We shall see,

350
00:20:08,760 --> 00:20:09,840
Speaker 1: So it's good. Yeah.

351
00:20:09,920 --> 00:20:13,399
Speaker 3: Yeah, plastic dudes, We're just We're just plastic plastic. Anyway,

352
00:20:13,920 --> 00:20:20,440
Speaker 3: I've been having a stretchy believable amounts of uh steamed

353
00:20:20,640 --> 00:20:21,600
Speaker 3: steamed bocho.

354
00:20:21,800 --> 00:20:25,679
Speaker 1: Mostly do we like, have we underrated the microwave? Just

355
00:20:26,040 --> 00:20:29,880
Speaker 1: I feel like it feels worse than it actually is.

356
00:20:29,920 --> 00:20:32,879
Speaker 1: Like I've always like felt like that's a cancer box.

357
00:20:33,000 --> 00:20:34,439
Speaker 1: But like I'll use an age.

358
00:20:35,000 --> 00:20:39,159
Speaker 3: Yeah, I think I think not to not to docks

359
00:20:39,240 --> 00:20:41,679
Speaker 3: us to the new listeners in our eternal youth, but

360
00:20:42,840 --> 00:20:46,600
Speaker 3: I think people in our generation, what we're twenty seven,

361
00:20:46,800 --> 00:20:53,359
Speaker 3: so we were we were four. Yeah, we were saying

362
00:20:53,359 --> 00:20:56,840
Speaker 3: the kids, don't don't stand, don't stand too close to

363
00:20:56,840 --> 00:20:58,679
Speaker 3: the mark above me.

364
00:20:58,760 --> 00:21:04,399
Speaker 1: Right, He's like, grades, are you guys teachers? Are we

365
00:21:04,480 --> 00:21:09,880
Speaker 1: met in twentieth grade? It actually we met so young

366
00:21:09,920 --> 00:21:11,840
Speaker 1: that it's weird that I was hanging out with him

367
00:21:12,000 --> 00:21:18,360
Speaker 1: being over them. Awol, weird doing that guys already going

368
00:21:18,400 --> 00:21:24,480
Speaker 1: through puberty? Why do your college kid? Lets me sip

369
00:21:24,560 --> 00:21:26,919
Speaker 1: some beers? Okay, just some people.

370
00:21:26,960 --> 00:21:30,600
Speaker 2: I'm reading that the microwaves that come out are non ionizing,

371
00:21:31,160 --> 00:21:33,760
Speaker 2: So that's right, that isn't dangerous to people.

372
00:21:35,040 --> 00:21:36,040
Speaker 1: That's good.

373
00:21:36,840 --> 00:21:40,280
Speaker 3: Yeah, I think I think it's it's like, because they've

374
00:21:40,280 --> 00:21:44,360
Speaker 3: been around for so long, if they were causing cancer personal,

375
00:21:44,359 --> 00:21:45,000
Speaker 3: how would we know?

376
00:21:45,760 --> 00:21:50,679
Speaker 1: Right, getting there's just too much we're toulating. Anyways, This

377
00:21:50,760 --> 00:21:53,359
Speaker 1: is usually when we're showing This is usually when our

378
00:21:53,359 --> 00:21:55,520
Speaker 1: show gets in trouble, when we're like, and what about

379
00:21:55,560 --> 00:22:01,359
Speaker 1: like water alcalizing and oh.

380
00:22:00,280 --> 00:22:06,040
Speaker 3: Oh man, listen, I'm replacing either my under or oprated. No,

381
00:22:06,359 --> 00:22:08,159
Speaker 3: I get ready, it's gonna be even worse.

382
00:22:08,359 --> 00:22:12,080
Speaker 1: Oh no, all right, Andrew, what's something you think is underrated?

383
00:22:12,480 --> 00:22:13,040
Speaker 1: Oh man?

384
00:22:13,320 --> 00:22:14,480
Speaker 3: Just using normal ass?

385
00:22:14,560 --> 00:22:16,439
Speaker 1: Water? Way underrated?

386
00:22:16,960 --> 00:22:21,239
Speaker 3: Not using normal ass? Okay, listen, whatever I got, I

387
00:22:21,280 --> 00:22:25,960
Speaker 3: took one step up in coffee madness, and I am

388
00:22:26,080 --> 00:22:33,639
Speaker 3: now buying separate minerals to put into distilled water to

389
00:22:33,840 --> 00:22:35,960
Speaker 3: make coffee with in the mornings.

390
00:22:36,280 --> 00:22:41,880
Speaker 1: So you're using distilled water and adding us from tap

391
00:22:41,960 --> 00:22:42,600
Speaker 1: water back in.

392
00:22:43,320 --> 00:22:47,240
Speaker 3: Yeah, but like a calibrated proportion, I suppose. So I

393
00:22:47,240 --> 00:22:51,359
Speaker 3: guess underrated is not using an insane coffee process. Here's

394
00:22:51,359 --> 00:22:53,920
Speaker 3: the thing I will tell you, Jack, I don't have

395
00:22:54,040 --> 00:23:00,440
Speaker 3: the palette or the ability, especially given the like cognitive

396
00:23:00,440 --> 00:23:02,600
Speaker 3: dissonance that has gone into this process, to tell you

397
00:23:02,640 --> 00:23:06,200
Speaker 3: whether it tastes better. It tastes better to me, sure,

398
00:23:06,280 --> 00:23:08,919
Speaker 3: but that's because I fucking bought a powder off the

399
00:23:08,960 --> 00:23:13,400
Speaker 3: internet and now have to like buy water. Including this week,

400
00:23:13,400 --> 00:23:17,280
Speaker 3: I went at midnight, past midnight to the CVS that

401
00:23:17,400 --> 00:23:20,159
Speaker 3: was open, just so I could get distilled water so

402
00:23:20,200 --> 00:23:21,680
Speaker 3: I could have my morning coffee.

403
00:23:22,119 --> 00:23:27,800
Speaker 1: Damn, wow wow, culinary arts. Yeah, you're doing this thing

404
00:23:27,800 --> 00:23:31,200
Speaker 1: about like marinating a coke and the refrigerator for three weeks.

405
00:23:31,600 --> 00:23:37,879
Speaker 1: It tastes better. Man, it's crispy, although it actually gets

406
00:23:37,880 --> 00:23:43,040
Speaker 1: a little bit overly crispy. I like the five day crispiness,

407
00:23:43,480 --> 00:23:46,040
Speaker 1: five days, twelve hours. Got to bring it back. What

408
00:23:46,119 --> 00:23:48,040
Speaker 1: Andrew do you think is overrated?

409
00:23:49,000 --> 00:23:51,360
Speaker 3: All right, I'll just be I it's it is, as

410
00:23:51,400 --> 00:23:54,040
Speaker 3: we talked about it second, it is, and I'm positive

411
00:23:54,040 --> 00:23:55,720
Speaker 3: I said something like this last time it was a

412
00:23:55,720 --> 00:23:58,120
Speaker 3: big protest. But it is something I need to constantly

413
00:23:58,160 --> 00:24:01,400
Speaker 3: tamp down in myself, which is the like my reflexive

414
00:24:01,440 --> 00:24:07,600
Speaker 3: hating on the like drum folks at protests, because it's

415
00:24:08,600 --> 00:24:11,760
Speaker 3: it's like they're fine, They're fine, they genuinely are fine.

416
00:24:12,040 --> 00:24:16,359
Speaker 3: I I have to remind myself of saying that I

417
00:24:16,400 --> 00:24:22,760
Speaker 3: feel like I coined but maybe not, which is which

418
00:24:22,840 --> 00:24:27,600
Speaker 3: is being corny is not a crime, Like I don't

419
00:24:27,640 --> 00:24:30,480
Speaker 3: think it's I don't it's not to me. The funniest

420
00:24:30,480 --> 00:24:35,360
Speaker 3: thing I've ever heard. I wish more people on whatever

421
00:24:35,560 --> 00:24:40,280
Speaker 3: is left of fucking Nancy Pelosi would be a little

422
00:24:40,320 --> 00:24:44,600
Speaker 3: more creative and not parrot a bit from fucking five

423
00:24:44,680 --> 00:24:49,840
Speaker 3: years ago. Still, however, you know, I'm glad you're here.

424
00:24:50,200 --> 00:24:51,560
Speaker 3: Thank you for being on on the streets.

425
00:24:52,760 --> 00:24:56,240
Speaker 1: Honestly, kind of a revolutionary idea if we could, if

426
00:24:56,280 --> 00:25:00,320
Speaker 1: everybody across the board could just like inhabit that like

427
00:25:00,400 --> 00:25:03,359
Speaker 1: from like you know, far left. Yeah, just corny is

428
00:25:03,400 --> 00:25:06,760
Speaker 1: not a crime, like, yes, like it is them singing

429
00:25:06,920 --> 00:25:11,199
Speaker 1: take Trump out of the Why is that cool? Is

430
00:25:11,200 --> 00:25:15,359
Speaker 1: that funny? No? If we took Trump out of the

431
00:25:15,359 --> 00:25:17,679
Speaker 1: White House, the world would be better. So let's just

432
00:25:17,800 --> 00:25:20,080
Speaker 1: let them sing the thing that I think we all

433
00:25:20,119 --> 00:25:22,359
Speaker 1: agree on. I don't, Yeah, I don't. I'm not. I don't,

434
00:25:22,480 --> 00:25:24,879
Speaker 1: I'm not. Uh, I'm mad at the message, you know

435
00:25:24,920 --> 00:25:26,919
Speaker 1: what I mean? Right, Yeah, that's I think.

436
00:25:26,760 --> 00:25:29,840
Speaker 3: It's just like like because I would say, I mean,

437
00:25:29,920 --> 00:25:33,560
Speaker 3: the biggest like tragedy of this is like, yes, all

438
00:25:33,600 --> 00:25:37,440
Speaker 3: the like kind of like wokeness scolds, including me.

439
00:25:37,800 --> 00:25:39,720
Speaker 1: On Jos's racist, Like.

440
00:25:41,960 --> 00:25:45,119
Speaker 3: A big part of this like insane fascist backlash was

441
00:25:45,240 --> 00:25:46,879
Speaker 3: like those people feeling.

442
00:25:48,359 --> 00:25:52,800
Speaker 1: You know, victimized. Yeah, sure, Well you mean to me,

443
00:25:53,200 --> 00:25:54,040
Speaker 1: we weren't wrong.

444
00:25:54,480 --> 00:25:56,640
Speaker 2: Yeah, well, I think the other part exactly, it's like, yeah,

445
00:25:56,680 --> 00:25:59,320
Speaker 2: you need to respect trains people. That's that's that's a

446
00:25:59,400 --> 00:26:02,000
Speaker 2: not neghost. But I think the thing is for people

447
00:26:02,040 --> 00:26:04,560
Speaker 2: who are hearing that when they're when they're a material

448
00:26:05,240 --> 00:26:09,760
Speaker 2: living situation is dire. It's like, I honestly don't have

449
00:26:09,800 --> 00:26:13,600
Speaker 2: the bandwidth for that. I'm I don't have money and

450
00:26:13,640 --> 00:26:15,600
Speaker 2: I'm supposed to and I'm being yelled at for the

451
00:26:15,720 --> 00:26:18,600
Speaker 2: like what's the priority here? Uh So, I mean I

452
00:26:18,640 --> 00:26:20,920
Speaker 2: think that's where you know, a lot of times leadership

453
00:26:20,920 --> 00:26:22,760
Speaker 2: fails to be like you actually need to be really

454
00:26:22,800 --> 00:26:26,679
Speaker 2: focusing on like material inequality, like that's right, that should

455
00:26:26,760 --> 00:26:30,159
Speaker 2: underpin everything else you do because you need to solve

456
00:26:30,200 --> 00:26:33,160
Speaker 2: that piece to get people on board to reject right

457
00:26:33,160 --> 00:26:37,359
Speaker 2: wing ideology. Like that's just that's the data, is there, baby,

458
00:26:37,400 --> 00:26:39,600
Speaker 2: You just gotta flow the paradigm up.

459
00:26:40,080 --> 00:26:43,960
Speaker 3: The the like tiny like disconnect and the tiny way

460
00:26:44,000 --> 00:26:46,600
Speaker 3: that this like the corny is a crime people have

461
00:26:46,680 --> 00:26:50,520
Speaker 3: a like to stand on, which is that like the

462
00:26:50,880 --> 00:26:52,680
Speaker 3: problem was just sort of like we'll just say, I

463
00:26:52,720 --> 00:26:56,399
Speaker 3: don't know. In my opinion, the Democratic Party thought the

464
00:26:56,520 --> 00:27:00,679
Speaker 3: corn was like sufficient, like it was the kneeling and

465
00:27:00,800 --> 00:27:02,000
Speaker 3: can take closs business.

466
00:27:02,119 --> 00:27:05,919
Speaker 1: Yeah, yeah, right, that's actually cool. You mean like we

467
00:27:06,000 --> 00:27:07,080
Speaker 1: call those pump fakes.

468
00:27:07,280 --> 00:27:10,280
Speaker 3: Actually, but but like that stuff is all fine, and

469
00:27:10,359 --> 00:27:14,040
Speaker 3: like broadly speaking, correct, you just can't also then sell

470
00:27:14,040 --> 00:27:17,439
Speaker 3: out people's economic futures to the same people Trump is

471
00:27:17,960 --> 00:27:18,879
Speaker 3: trying to sell out well.

472
00:27:18,920 --> 00:27:21,080
Speaker 2: And also, like I said, you can't pump fake like

473
00:27:21,160 --> 00:27:23,840
Speaker 2: don't take a knee acting like yo, this police violence

474
00:27:23,880 --> 00:27:26,040
Speaker 2: is out of hand. And then anytime some kind of

475
00:27:26,040 --> 00:27:28,560
Speaker 2: meaningful police reform bill comes up, you're like, I'm actually

476
00:27:28,600 --> 00:27:31,560
Speaker 2: in solidarity with the police unions, Like this is the

477
00:27:31,560 --> 00:27:33,480
Speaker 2: most they would let me get away with that summer,

478
00:27:33,520 --> 00:27:35,040
Speaker 2: And that's that's I take it to the limit.

479
00:27:35,520 --> 00:27:38,960
Speaker 1: Yeah, if your only thing is chasing whatever is pulling

480
00:27:39,119 --> 00:27:42,040
Speaker 1: well in the moment, like people, people catch onto that

481
00:27:42,080 --> 00:27:42,640
Speaker 1: pretty quickly.

482
00:27:42,760 --> 00:27:46,800
Speaker 3: But it's not even that because economic equality is pulling well.

483
00:27:47,280 --> 00:27:51,000
Speaker 1: So like no, but I mean that's that's their to

484
00:27:51,040 --> 00:27:51,440
Speaker 1: the core.

485
00:27:51,520 --> 00:27:54,240
Speaker 2: They're like, I mean, the things we can get away

486
00:27:54,280 --> 00:27:57,320
Speaker 2: with by using the rationale that it's popular, will do that.

487
00:27:57,400 --> 00:27:59,679
Speaker 2: Anything that upsets the status quo, even if it is

488
00:27:59,720 --> 00:28:01,560
Speaker 2: private run, single pay or.

489
00:28:01,520 --> 00:28:06,879
Speaker 1: What the go nil guys.

490
00:28:08,200 --> 00:28:12,040
Speaker 3: Yeah, yeah, Neil, Neil, That'll that'll distract him. That'll distract him.

491
00:28:12,080 --> 00:28:17,600
Speaker 3: So that's anyway, that was an incoherent set of under

492
00:28:17,600 --> 00:28:20,719
Speaker 3: and overrated. But like I feel, I'll leave it as

493
00:28:20,760 --> 00:28:23,200
Speaker 3: an exercise. I'll leave it as an exercise to the

494
00:28:23,240 --> 00:28:25,960
Speaker 3: reader to figure out what my actual.

495
00:28:28,800 --> 00:28:33,040
Speaker 1: Over under an N rated. Yeah, all three, let's take

496
00:28:33,040 --> 00:28:46,640
Speaker 1: a quick break. We'll be right back, and we are

497
00:28:47,040 --> 00:28:51,760
Speaker 1: right back and from where we started, right back where

498
00:28:51,800 --> 00:28:54,520
Speaker 1: we started again. Yeah, we kind of are right back

499
00:28:54,520 --> 00:28:59,880
Speaker 1: where we started again. I mean, so we likes so much.

500
00:29:00,200 --> 00:29:02,280
Speaker 2: There's just so much talk of, you know, right now,

501
00:29:02,320 --> 00:29:04,800
Speaker 2: ambiently right, all we're hearing in America is like violent

502
00:29:04,960 --> 00:29:10,120
Speaker 2: immigrants and immigrant gangs and the threat of a nuclear Iran,

503
00:29:10,440 --> 00:29:12,800
Speaker 2: and sadly the media is just like relying on their

504
00:29:12,880 --> 00:29:16,680
Speaker 2: bad habits of providing zero context when talking about issues

505
00:29:16,680 --> 00:29:20,240
Speaker 2: that have global ramifications. I just want to start off

506
00:29:20,280 --> 00:29:22,880
Speaker 2: pointing out a couple of things with these things immigration. Right,

507
00:29:22,920 --> 00:29:26,280
Speaker 2: we're currently seeing a campaign of terror unfold on our

508
00:29:26,320 --> 00:29:29,800
Speaker 2: streets as mass goon secret police whoever the fuck they

509
00:29:29,840 --> 00:29:32,560
Speaker 2: are just snatching up innocent people off the streets. I

510
00:29:32,640 --> 00:29:35,960
Speaker 2: say innocent to like juxtapose that with like the DHS

511
00:29:35,960 --> 00:29:38,920
Speaker 2: and ICE officials who are using as their rational at

512
00:29:39,000 --> 00:29:41,800
Speaker 2: like this idea like violent. There we're getting only the

513
00:29:42,000 --> 00:29:46,080
Speaker 2: violent criminals, the worst, these murderers, and they typically evoke

514
00:29:46,160 --> 00:29:49,880
Speaker 2: the boogeyman of MS thirteen. Just want to remind ourselves

515
00:29:50,080 --> 00:29:53,920
Speaker 2: the United States is basically the fucking reason MS thirteen

516
00:29:54,000 --> 00:29:55,240
Speaker 2: even exists in the first place.

517
00:29:55,320 --> 00:29:58,760
Speaker 1: Here's the here's the very quick truncated version. Okay. During

518
00:29:58,800 --> 00:30:02,280
Speaker 1: the Cold War, the U US was using financial coercion

519
00:30:02,360 --> 00:30:05,760
Speaker 1: and arming governments to fight off any suspected expansion of

520
00:30:05,840 --> 00:30:09,440
Speaker 1: like leftist ideology that they read as communists. Okay.

521
00:30:09,760 --> 00:30:13,640
Speaker 2: In l Salvador, the possibility of anything resembling a leftist

522
00:30:13,640 --> 00:30:16,800
Speaker 2: government caused concern, and the US began opposite, arming the

523
00:30:16,840 --> 00:30:20,600
Speaker 2: opposition and contributed to the civil war there. This caused

524
00:30:20,640 --> 00:30:23,800
Speaker 2: many people to flee the unrest to places like the

525
00:30:24,000 --> 00:30:27,760
Speaker 2: United States. Many of these young men who arrived in LA,

526
00:30:28,080 --> 00:30:31,520
Speaker 2: they learned LA gang culture, they took and then once

527
00:30:31,600 --> 00:30:36,000
Speaker 2: Bill Clinton started his whole fucking policy of super predators

528
00:30:36,040 --> 00:30:39,720
Speaker 2: of deporting people in mass basically all these young men

529
00:30:39,800 --> 00:30:43,640
Speaker 2: came from LA and we started exporting gang culture to

530
00:30:43,720 --> 00:30:46,320
Speaker 2: El Salvador, and that's how you begin to see the

531
00:30:46,360 --> 00:30:49,480
Speaker 2: beginnings of MS thirteen, you know, show up. So it's

532
00:30:49,480 --> 00:30:53,080
Speaker 2: actually our anti communist, military interventionist habit and the love

533
00:30:53,120 --> 00:30:57,440
Speaker 2: of deporting people from destabilized nations that we destabilized that

534
00:30:57,520 --> 00:30:58,880
Speaker 2: created MS thirteen.

535
00:30:59,080 --> 00:31:03,280
Speaker 1: Okay, the East, I don't know, this doesn't sound like us.

536
00:31:02,640 --> 00:31:06,760
Speaker 1: Just read up man, Latin America. Just read up on it.

537
00:31:06,960 --> 00:31:09,680
Speaker 1: Like what you're trying to do with your bananas. You

538
00:31:09,720 --> 00:31:12,800
Speaker 1: can just replace El Salvador with any.

539
00:31:12,560 --> 00:31:17,760
Speaker 2: Other yeahs, Like it's all fucking there. Okay, So this

540
00:31:17,920 --> 00:31:20,240
Speaker 2: is why we and when people grow, why don't.

541
00:31:20,120 --> 00:31:23,800
Speaker 1: They stay in their countries because we fucking destabilize them

542
00:31:23,880 --> 00:31:28,280
Speaker 1: because they deigned to flirt with like socialism. And just

543
00:31:28,320 --> 00:31:31,360
Speaker 1: like we're gonna nationalize our industry now everyone one of

544
00:31:31,400 --> 00:31:35,320
Speaker 1: the industries, right, fuck you are You're gonna and this

545
00:31:35,400 --> 00:31:39,640
Speaker 1: is is gonna come in. There's gonna be a massive

546
00:31:39,640 --> 00:31:43,320
Speaker 1: corporation and they're going to do what you know, like

547
00:31:43,320 --> 00:31:45,800
Speaker 1: what Walmart did to the Midwest, Like what they're just

548
00:31:45,840 --> 00:31:48,640
Speaker 1: going to hoover up all the resources and take it

549
00:31:48,720 --> 00:31:51,320
Speaker 1: out of your country and then take it to as

550
00:31:51,360 --> 00:31:54,680
Speaker 1: fuck and put it in the market yeah, and also

551
00:31:54,760 --> 00:31:56,080
Speaker 1: kill anyone who's trying to oppose it.

552
00:31:56,160 --> 00:31:59,479
Speaker 3: And this is also poor people in America wouldn't see

553
00:31:59,760 --> 00:32:04,080
Speaker 3: us like this working, so they would would always as

554
00:32:04,120 --> 00:32:07,720
Speaker 3: they've been doing, vote for more. Look at Cuba. Look

555
00:32:07,720 --> 00:32:10,880
Speaker 3: at Cuba, guys. You can't vote for fucking anybody on

556
00:32:10,920 --> 00:32:13,360
Speaker 3: the left. Look at what Cuba. Well, look what Cuba.

557
00:32:13,520 --> 00:32:15,320
Speaker 1: It is in Venezuela. You mean because of all the

558
00:32:15,320 --> 00:32:18,640
Speaker 1: fucking embargoes because they get medicine.

559
00:32:18,920 --> 00:32:21,440
Speaker 2: What do you think again that situation. It looks like

560
00:32:21,520 --> 00:32:23,560
Speaker 2: that because we have a hand in that. So again,

561
00:32:23,640 --> 00:32:26,240
Speaker 2: now we have Iran right right now, there's so many

562
00:32:26,240 --> 00:32:29,440
Speaker 2: fucking freaks on TV trying to manufacture consent to attack

563
00:32:29,480 --> 00:32:33,480
Speaker 2: Iran and ultimately do regime change. But again, the US

564
00:32:33,560 --> 00:32:38,200
Speaker 2: already did that in the fifties. Okay, Iranians democratically elected

565
00:32:38,360 --> 00:32:41,680
Speaker 2: their prime minister Mohammed Mosadeg. He angered the US and

566
00:32:41,880 --> 00:32:44,360
Speaker 2: UK when he said that he was going to nationalize

567
00:32:44,400 --> 00:32:47,760
Speaker 2: Iran's oil industry, and British at the time, British Petroleum

568
00:32:47,800 --> 00:32:50,479
Speaker 2: was like, so we're not having that. So the US

569
00:32:50,640 --> 00:32:54,240
Speaker 2: and the UK. So the CIA in Secret Intelligence Service

570
00:32:54,320 --> 00:32:58,720
Speaker 2: sis KEN is a visible army conducted a coup to

571
00:32:58,840 --> 00:33:01,760
Speaker 2: concentrate power with Shah of Iran, who would do as

572
00:33:01,760 --> 00:33:05,680
Speaker 2: he was told by America. This field the anti American

573
00:33:05,760 --> 00:33:09,280
Speaker 2: sentiment that gave way to the Iranian Revolution, which kicked

574
00:33:09,320 --> 00:33:11,239
Speaker 2: off the new era of the Islamic Republic, which they

575
00:33:11,240 --> 00:33:13,800
Speaker 2: are now saying this is a threat to everything. So

576
00:33:14,000 --> 00:33:17,280
Speaker 2: the US, again along with the allies, have done all

577
00:33:17,320 --> 00:33:20,160
Speaker 2: they can to destabilize youron a country by all accounts,

578
00:33:20,240 --> 00:33:23,560
Speaker 2: is not building a nuclear weapon, okay, And we're hearing

579
00:33:23,600 --> 00:33:27,080
Speaker 2: constantly the same takes like nuclear weapon by all accounts

580
00:33:27,120 --> 00:33:27,920
Speaker 2: of the people.

581
00:33:27,600 --> 00:33:31,560
Speaker 1: Who are currently saying they were like a week ago, yeah, yeah, exactly,

582
00:33:32,920 --> 00:33:35,800
Speaker 1: And yet now we're cheering on Israel. Not like us personally,

583
00:33:35,800 --> 00:33:39,040
Speaker 1: but like the sort of general political discourse in DC

584
00:33:39,240 --> 00:33:41,360
Speaker 1: is like cheering on Israel for you had another illegal

585
00:33:41,400 --> 00:33:44,560
Speaker 1: attack on a nation and its people. So again we're

586
00:33:44,560 --> 00:33:47,560
Speaker 1: talking Israel is the one that has nuclear weapons and

587
00:33:47,840 --> 00:33:52,360
Speaker 1: is not signing onto a nuclear non proliferation treaty. Like yeah,

588
00:33:52,960 --> 00:33:55,120
Speaker 1: we's so backwards right now. I'm saying a lot of

589
00:33:55,120 --> 00:33:57,440
Speaker 1: people do the thing where they're like, look, guys, I

590
00:33:57,600 --> 00:34:01,200
Speaker 1: don't want a nuclear iron just like everybody else. It's like, yeah,

591
00:34:01,240 --> 00:34:04,080
Speaker 1: but like, can you think of a worst country to

592
00:34:04,280 --> 00:34:08,279
Speaker 1: have nuclear weapons than Israel, who like won't sign on

593
00:34:08,360 --> 00:34:12,080
Speaker 1: to any of the like international laws, who are like

594
00:34:12,120 --> 00:34:14,680
Speaker 1: flouting international laws and like killing people and committing more

595
00:34:14,760 --> 00:34:19,040
Speaker 1: crimes like actively, Like that's the really scary thing to me.

596
00:34:19,239 --> 00:34:22,120
Speaker 1: Like if you're just like not a fan of innocent

597
00:34:22,160 --> 00:34:25,880
Speaker 1: people being killed, the idea that Israel has nuclear weapons

598
00:34:26,200 --> 00:34:27,440
Speaker 1: is very scary.

599
00:34:27,520 --> 00:34:30,160
Speaker 2: Yeah, Also, like why would they allow inspections by the

600
00:34:30,160 --> 00:34:32,440
Speaker 2: International Atomic Energy Agency?

601
00:34:32,920 --> 00:34:35,080
Speaker 1: Like what are we talking about? And again, Obama made

602
00:34:35,080 --> 00:34:37,120
Speaker 1: a deal with Iran. Trump is a racist, so he

603
00:34:37,120 --> 00:34:38,440
Speaker 1: had to blow that up and act like he was

604
00:34:38,480 --> 00:34:40,480
Speaker 1: going to do something different to get credit, and this

605
00:34:40,600 --> 00:34:43,759
Speaker 1: only moved things backwards. And now we're just now we're

606
00:34:43,800 --> 00:34:46,040
Speaker 1: fucking here and we're talking about like Iran. It's such

607
00:34:46,080 --> 00:34:48,359
Speaker 1: a threat to the stability of the region. I'm like, oh,

608
00:34:48,400 --> 00:34:48,840
Speaker 1: I'm sorry.

609
00:34:48,840 --> 00:34:51,600
Speaker 2: Are they engaged in a genocidal campaign in Gaza and

610
00:34:51,640 --> 00:34:52,680
Speaker 2: occupying the West Bank?

611
00:34:53,040 --> 00:34:54,720
Speaker 1: Did they attack Lebanon.

612
00:34:54,600 --> 00:34:58,080
Speaker 3: And invading the defect are exactly?

613
00:34:58,160 --> 00:35:00,440
Speaker 2: And I mean that's like the shorthand that people are

614
00:35:00,480 --> 00:35:03,120
Speaker 2: just like going back to this war on terror like

615
00:35:03,280 --> 00:35:06,120
Speaker 2: thought killing cliche where they're like that's you know, you're wrong.

616
00:35:07,640 --> 00:35:11,239
Speaker 2: And the same people that fucking cheered on the war

617
00:35:11,320 --> 00:35:13,640
Speaker 2: on terror that killed four and a half million people

618
00:35:14,280 --> 00:35:18,120
Speaker 2: conservatively are now just raw raying this on. And yet

619
00:35:18,120 --> 00:35:20,680
Speaker 2: there they don't have to answer for their sin of

620
00:35:20,760 --> 00:35:22,719
Speaker 2: being like, yeah, they got w and we gotta fucking

621
00:35:22,800 --> 00:35:25,680
Speaker 2: do this shit. Uh, and they're doing the exact same thing. Now,

622
00:35:25,719 --> 00:35:28,680
Speaker 2: it's just like baffling, baffling.

623
00:35:29,320 --> 00:35:31,080
Speaker 1: These are the these are the people who you can

624
00:35:31,120 --> 00:35:34,520
Speaker 1: blow their mind with the Matthew McConaughey trick. Now, now

625
00:35:34,560 --> 00:35:37,560
Speaker 1: imagine those people are white, right, would that be from

626
00:35:37,600 --> 00:35:38,319
Speaker 1: a time to kill?

627
00:35:38,600 --> 00:35:38,799
Speaker 3: Yeah?

628
00:35:38,880 --> 00:35:42,400
Speaker 1: Yeah, Now now imagine they're white. Oh what well that

629
00:35:42,600 --> 00:35:46,000
Speaker 1: was wait what that would be horrible Jesus terrible.

630
00:35:46,680 --> 00:35:49,880
Speaker 3: It's also like, even in the small media version, it

631
00:35:50,000 --> 00:35:52,719
Speaker 3: is a little bonkers that no one who was so

632
00:35:53,120 --> 00:35:57,719
Speaker 3: wrong about Iraq, like intelligence wise, has faced any like

633
00:35:58,320 --> 00:36:03,359
Speaker 3: even credibility concept on. Yeah, Like, hey, motherfuckers, these are

634
00:36:03,440 --> 00:36:06,319
Speaker 3: largely the same. It's certainly the same institutions. Yeah, some

635
00:36:06,360 --> 00:36:09,080
Speaker 3: of the same people who are telling the same lies

636
00:36:09,840 --> 00:36:11,719
Speaker 3: for the same obvious reasons.

637
00:36:11,960 --> 00:36:14,120
Speaker 1: And we thought that didn't go well, Like right, like

638
00:36:14,160 --> 00:36:16,840
Speaker 1: we all agreed at the end of that one that

639
00:36:16,840 --> 00:36:19,520
Speaker 1: that was bad, right, Like, I guess this one feels

640
00:36:19,520 --> 00:36:22,640
Speaker 1: a little bit different because Israel is the US in

641
00:36:22,680 --> 00:36:26,520
Speaker 1: this case and they're like, are you and the coalition

642
00:36:26,880 --> 00:36:30,880
Speaker 1: of the willing type ship? But yeah, that that was

643
00:36:31,560 --> 00:36:34,720
Speaker 1: just like we thought we thought the Iraq than Yeah

644
00:36:34,760 --> 00:36:40,360
Speaker 1: that was right, guys, my crazy heir to that that

645
00:36:40,360 --> 00:36:44,120
Speaker 1: that was that didn't go grace right? But yeah, no

646
00:36:44,160 --> 00:36:46,440
Speaker 1: one again, like and what happened there? It's like there

647
00:36:46,480 --> 00:36:49,520
Speaker 1: is a presupposition of weapons of mass destruction? And also

648
00:36:49,640 --> 00:36:52,000
Speaker 1: wasn't net and Yahoo coming to d C saying if

649
00:36:52,040 --> 00:36:54,560
Speaker 1: you guys take out Saddam Hussein, everything will be right

650
00:36:54,560 --> 00:36:56,880
Speaker 1: in the world and was the biggest Oh okay, so

651
00:36:57,400 --> 00:37:00,319
Speaker 1: but then okay, okay, we'll just okay, okay, yeah, we'll

652
00:37:00,320 --> 00:37:02,799
Speaker 1: believe everything. We believe everything, and we're.

653
00:37:02,680 --> 00:37:05,240
Speaker 3: About to see let's not learn from history ever.

654
00:37:05,640 --> 00:37:11,640
Speaker 1: That's what's so fucking that's frustrating and like not on

655
00:37:11,640 --> 00:37:12,080
Speaker 1: our point.

656
00:37:12,320 --> 00:37:14,440
Speaker 5: Let's just not what if we just took that off

657
00:37:14,440 --> 00:37:17,080
Speaker 5: the table, Like what if we just did repeat history

658
00:37:17,080 --> 00:37:20,960
Speaker 5: every time? I mean, you know what, That's something that's

659
00:37:21,000 --> 00:37:23,719
Speaker 5: a nice thing about the Internet age is like, you know,

660
00:37:24,520 --> 00:37:27,160
Speaker 5: not only do we repeat history we repeat it much faster.

661
00:37:28,120 --> 00:37:31,440
Speaker 3: That's you know everything. The nineties are back, is what

662
00:37:31,480 --> 00:37:36,719
Speaker 3: I'm saying, and even the two thousands thousands are already back.

663
00:37:36,880 --> 00:37:42,440
Speaker 1: Yeah, it's a cosmic gumbo of the three brought back.

664
00:37:43,080 --> 00:37:46,440
Speaker 1: There's a I think it was a radio Lab episode

665
00:37:46,520 --> 00:37:49,600
Speaker 1: that was about people who lose their short term memory

666
00:37:50,040 --> 00:37:53,359
Speaker 1: and they like they're coming out of like a you know,

667
00:37:53,960 --> 00:37:59,239
Speaker 1: comba or something like that, and they like their loved

668
00:37:59,239 --> 00:38:02,520
Speaker 1: ones will report that they will like repeat themselves over

669
00:38:02,560 --> 00:38:05,240
Speaker 1: and over again, like just the speed with which they'll

670
00:38:05,280 --> 00:38:09,640
Speaker 1: they'll be like like, I just remember the episode they

671
00:38:09,680 --> 00:38:12,440
Speaker 1: like recorded this person having this conversation, and like the

672
00:38:12,440 --> 00:38:15,440
Speaker 1: people they're talking to are like kind of like, you know,

673
00:38:15,560 --> 00:38:17,839
Speaker 1: taking a breath and then like answering their question. They're like,

674
00:38:17,960 --> 00:38:20,919
Speaker 1: that's because they had just asked that like two minutes ago.

675
00:38:21,120 --> 00:38:24,839
Speaker 1: And so like the speed with which you repeat if

676
00:38:24,880 --> 00:38:28,600
Speaker 1: you just have no memory, it's like it just happens

677
00:38:28,800 --> 00:38:31,560
Speaker 1: so quickly, and because there's just so much noise, there's

678
00:38:31,600 --> 00:38:34,879
Speaker 1: just so little awareness. It just feels like we are

679
00:38:35,320 --> 00:38:38,960
Speaker 1: just repeating things like within a decade or two decades.

680
00:38:39,000 --> 00:38:44,440
Speaker 3: Like it's just like the has the disease exactly but

681
00:38:44,080 --> 00:38:47,040
Speaker 3: no tattoos, but none of the tattoos to remind them

682
00:38:47,080 --> 00:38:49,239
Speaker 3: of what the no tattoos.

683
00:38:49,239 --> 00:38:51,640
Speaker 1: Just a fucking guy, probably just trying to kill somebody.

684
00:38:51,840 --> 00:38:56,439
Speaker 1: They don't know why, just killing someone. Du we're raw

685
00:38:56,480 --> 00:38:58,640
Speaker 1: dogging memento with no tattoos.

686
00:38:58,719 --> 00:39:01,960
Speaker 3: Yeah, they just want to kill someone and make themselves

687
00:39:02,000 --> 00:39:03,440
Speaker 3: feel better for it.

688
00:39:03,480 --> 00:39:06,040
Speaker 1: If he could like have a beard, that would be cool.

689
00:39:06,239 --> 00:39:08,040
Speaker 1: I don't know, like that'd be good.

690
00:39:08,400 --> 00:39:10,120
Speaker 2: Yeah, I mean, like to your point, Jack, it's like

691
00:39:10,200 --> 00:39:13,160
Speaker 2: when you if you do remember, then when that impulse

692
00:39:13,200 --> 00:39:15,120
Speaker 2: comes up, you have a memory attached to it and

693
00:39:15,160 --> 00:39:18,440
Speaker 2: be like, oh that's right, stove hot or touch stove.

694
00:39:18,840 --> 00:39:22,959
Speaker 2: But we never as a nation are we just don't

695
00:39:23,000 --> 00:39:27,080
Speaker 2: have reckonings with our white supremacy, our xenophobia, our homophobia,

696
00:39:27,200 --> 00:39:31,920
Speaker 2: are imperial interventionist streak of regime change. And so every

697
00:39:31,960 --> 00:39:34,520
Speaker 2: time these moments help come up, the people that feel

698
00:39:34,560 --> 00:39:37,920
Speaker 2: that shit are like, ah, no, no, no, no, no, yeah, no,

699
00:39:38,000 --> 00:39:40,440
Speaker 2: y'all don't remember that, and they're like no, because it

700
00:39:40,480 --> 00:39:43,239
Speaker 2: didn't affect me. And this time we're doing it again

701
00:39:43,280 --> 00:39:45,520
Speaker 2: in another way where people are like do you all remember?

702
00:39:45,560 --> 00:39:45,640
Speaker 1: No?

703
00:39:45,880 --> 00:39:48,520
Speaker 2: Okay, So there's some mag and that's why there's some

704
00:39:48,600 --> 00:39:50,920
Speaker 2: magot people who are like, fuck base War. I mean,

705
00:39:50,920 --> 00:39:53,080
Speaker 2: obviously it's for bad reasons, but you're seeing this now

706
00:39:53,120 --> 00:39:56,919
Speaker 2: where they're even like that last Wars is not good.

707
00:39:56,920 --> 00:39:59,640
Speaker 2: I'd rather focus on money in our country, even though

708
00:39:59,719 --> 00:40:00,520
Speaker 2: stuff they're.

709
00:40:00,280 --> 00:40:04,799
Speaker 1: Doing is wildly unpopular before it never matters and it

710
00:40:04,880 --> 00:40:07,760
Speaker 1: never has mattered now, but also never had a four miles.

711
00:40:08,160 --> 00:40:15,120
Speaker 3: What's happening is you're talking to a dangerous stove salesman whose.

712
00:40:13,840 --> 00:40:18,320
Speaker 1: Yeah, exactly, Hey, so where's the like where the burdeners?

713
00:40:18,320 --> 00:40:23,000
Speaker 2: You just turn on a big flame shoots, oh.

714
00:40:21,880 --> 00:40:23,759
Speaker 3: You need the new stove if you want to get

715
00:40:24,320 --> 00:40:25,399
Speaker 3: actually does the same thing?

716
00:40:25,520 --> 00:40:28,080
Speaker 1: Yeah, yeah, oh you know what. Yeah, Raytheon makes that one.

717
00:40:28,080 --> 00:40:31,719
Speaker 1: I'll bring that next time I come to But yeah,

718
00:40:31,760 --> 00:40:35,080
Speaker 1: I mean it does. It does feel like if they're

719
00:40:35,320 --> 00:40:38,640
Speaker 1: if they accidentally talk to someone who's willing to push back,

720
00:40:38,760 --> 00:40:39,880
Speaker 1: they're kind of in trouble.

721
00:40:40,239 --> 00:40:43,920
Speaker 2: Like that's there's stove Theon and I thought of the

722
00:40:44,400 --> 00:40:48,520
Speaker 2: gray Joy as a stove yeah or Rathon Ray Charles

723
00:40:48,600 --> 00:40:53,880
Speaker 2: Asond gray Joy all right, sorry that actually he.

724
00:40:54,320 --> 00:40:59,200
Speaker 3: Is a lucid, deep lucid dreamer.

725
00:41:00,200 --> 00:41:05,960
Speaker 1: Just say what if Raytheon just switched their logo to

726
00:41:06,040 --> 00:41:11,719
Speaker 1: thats a dressed as or the gray Joy with the

727
00:41:11,719 --> 00:41:14,760
Speaker 1: glasses on at of pan don't worry about what's happening,

728
00:41:14,800 --> 00:41:15,680
Speaker 1: and you got the right.

729
00:41:17,000 --> 00:41:20,160
Speaker 3: Here's what I will say is there's no good or

730
00:41:20,160 --> 00:41:23,840
Speaker 3: ethical use of AI except obviously for generating rathie.

731
00:41:25,040 --> 00:41:28,239
Speaker 1: I want to see ray Okay, I do just want

732
00:41:28,239 --> 00:41:31,479
Speaker 1: to talk about because they they don't really have their

733
00:41:31,520 --> 00:41:34,239
Speaker 1: defenses built up on this one, so when they do

734
00:41:34,360 --> 00:41:37,759
Speaker 1: accidentally talk to somebody who is making the point that

735
00:41:37,840 --> 00:41:40,680
Speaker 1: this is a bad idea, it doesn't really go well

736
00:41:40,760 --> 00:41:43,319
Speaker 1: for them. Yeah, and that's what That's what happened because

737
00:41:43,320 --> 00:41:46,439
Speaker 1: Tucker Carlson happens to be on the right side of

738
00:41:46,480 --> 00:41:50,800
Speaker 1: this specific issue, and he he talked to Ted Cruz

739
00:41:51,200 --> 00:41:55,680
Speaker 1: and fucking grilled him in the most low stakes way,

740
00:41:55,719 --> 00:41:59,239
Speaker 1: but just in this dickish way that it just completely

741
00:42:00,120 --> 00:42:02,600
Speaker 1: to Ted Cruz that he got caught like in this

742
00:42:02,719 --> 00:42:05,080
Speaker 1: moment being like, oh, I don't have an answer for

743
00:42:05,120 --> 00:42:09,359
Speaker 1: these very basic questions. So here is I. We'll play

744
00:42:09,360 --> 00:42:11,239
Speaker 1: a bit of it. Because this thing goes on for

745
00:42:11,280 --> 00:42:14,000
Speaker 1: a minute with Tucker Carlson just really holding his feet

746
00:42:14,000 --> 00:42:14,439
Speaker 1: to the fire.

747
00:42:14,640 --> 00:42:17,000
Speaker 6: How many people living around By the way, I don't

748
00:42:17,040 --> 00:42:18,399
Speaker 6: know the population at all.

749
00:42:18,960 --> 00:42:20,080
Speaker 7: No, I don't know the population.

750
00:42:21,080 --> 00:42:22,960
Speaker 4: You don't know the population of the country you seek

751
00:42:23,080 --> 00:42:23,959
Speaker 4: to topple.

752
00:42:25,400 --> 00:42:26,319
Speaker 7: How many people living around?

753
00:42:26,640 --> 00:42:27,200
Speaker 1: What the is?

754
00:42:28,000 --> 00:42:31,720
Speaker 4: What you doing? How could you not know that?

755
00:42:31,760 --> 00:42:35,320
Speaker 1: Oh my god, dude, it's so lack though, like as

756
00:42:35,360 --> 00:42:37,840
Speaker 1: just like doing it, like it's a fucking trivia contest.

757
00:42:38,040 --> 00:42:41,480
Speaker 2: It's like you're yeah, or like in a toxic relationship

758
00:42:41,520 --> 00:42:42,560
Speaker 2: to like, what do you mean you don't know where

759
00:42:42,560 --> 00:42:43,279
Speaker 2: you at last night?

760
00:42:43,600 --> 00:42:44,799
Speaker 1: Oh? Yeah, so you don't know you don't know your

761
00:42:44,800 --> 00:42:46,520
Speaker 1: own friends, the phone number, who I need to call it?

762
00:42:46,920 --> 00:42:49,600
Speaker 6: Okay, let's just get around the don't sit around memorizing

763
00:42:49,640 --> 00:42:50,480
Speaker 6: population tables.

764
00:42:50,640 --> 00:42:52,920
Speaker 8: Well, it's kind of relevant because you're calling for the

765
00:42:52,920 --> 00:42:53,840
Speaker 8: overthrow of the government.

766
00:42:54,400 --> 00:42:56,680
Speaker 6: Why is it relevant whether it's well because ninety million

767
00:42:56,760 --> 00:42:58,160
Speaker 6: or eighty million or one hundred million.

768
00:42:58,080 --> 00:42:59,960
Speaker 4: Why is if you don't know anything about the country.

769
00:43:00,000 --> 00:43:01,560
Speaker 7: I didn't say I don't know anything about Okay.

770
00:43:01,360 --> 00:43:01,880
Speaker 4: What's the ethic?

771
00:43:02,560 --> 00:43:07,120
Speaker 1: Oh boy? Oh you like name every album.

772
00:43:08,480 --> 00:43:10,640
Speaker 7: The Persians were predominantly Shia.

773
00:43:10,920 --> 00:43:15,719
Speaker 6: Okay, you don't know anything about so Okay, I'm not

774
00:43:16,719 --> 00:43:18,560
Speaker 6: Carlson bird On I ran.

775
00:43:18,520 --> 00:43:19,360
Speaker 1: You're a center.

776
00:43:19,400 --> 00:43:23,200
Speaker 4: Who's calling there, the one, the one at the country.

777
00:43:23,560 --> 00:43:25,239
Speaker 7: You don't know anything about the country. You're the one

778
00:43:25,239 --> 00:43:27,200
Speaker 7: who plays. They're not trying to murder Donald Trump.

779
00:43:28,000 --> 00:43:28,680
Speaker 4: I'm not saying that.

780
00:43:28,800 --> 00:43:31,840
Speaker 6: Who can't figure out to say, you killed General Solamoni

781
00:43:31,880 --> 00:43:32,120
Speaker 6: and you.

782
00:43:32,440 --> 00:43:34,120
Speaker 4: Believe they're trying to murder Trump.

783
00:43:34,200 --> 00:43:36,920
Speaker 8: Yes, because you're not calling for military strikes against them

784
00:43:36,920 --> 00:43:37,600
Speaker 8: in retaliation.

785
00:43:37,640 --> 00:43:40,480
Speaker 6: And if they really believed that carrying out military strikes today,

786
00:43:40,880 --> 00:43:42,879
Speaker 6: what Israel was right with our help?

787
00:43:43,640 --> 00:43:46,319
Speaker 7: I'm said, we Israel is leading them, but we're supporting them.

788
00:43:46,400 --> 00:43:48,520
Speaker 8: Well, this you're breaking news here because in the US

789
00:43:48,640 --> 00:43:52,080
Speaker 8: government last night denied the nation's Cretey Council Spokesmanlex Fighter

790
00:43:52,160 --> 00:43:55,319
Speaker 8: denied on behalf of Trump that we were acting on

791
00:43:55,719 --> 00:43:57,040
Speaker 8: Israel's pa any offensive.

792
00:43:58,000 --> 00:44:01,600
Speaker 7: Then Israel's bombing, then you just said we were we

793
00:44:01,680 --> 00:44:02,640
Speaker 7: are supporting its.

794
00:44:03,200 --> 00:44:05,719
Speaker 4: Your senator, if you're saying the United States government.

795
00:44:07,320 --> 00:44:12,840
Speaker 3: Okay, I mean this could have been made so much better.

796
00:44:13,120 --> 00:44:22,000
Speaker 3: But Tucker's bikes the camera in such a hilarious way.

797
00:44:22,600 --> 00:44:25,399
Speaker 3: Stor Brother, I had to tell you this is good

798
00:44:26,600 --> 00:44:30,120
Speaker 3: also for the podcast listeners. I don't look up the

799
00:44:30,120 --> 00:44:31,880
Speaker 3: actual clip because who gives the funk but they are

800
00:44:32,040 --> 00:44:34,279
Speaker 3: doing this interview in front of an oil painting of

801
00:44:34,400 --> 00:44:38,000
Speaker 3: Ronald Brake. I would say, bring it back.

802
00:44:38,000 --> 00:44:41,440
Speaker 1: I didn't. Oh yeah, it's just it's slipper city.

803
00:44:42,040 --> 00:44:45,080
Speaker 3: I'm guessing he's at a press conference in front of

804
00:44:45,239 --> 00:44:47,400
Speaker 3: other Republican heroes.

805
00:44:47,600 --> 00:44:48,359
Speaker 1: But it is.

806
00:44:49,200 --> 00:44:52,440
Speaker 2: I know, it's like the version of like those murals

807
00:44:52,520 --> 00:44:54,479
Speaker 2: used to see in Hollywood with like all the old

808
00:44:54,480 --> 00:44:58,080
Speaker 2: Hollywood stars in a theater together, like Ronald Reagan and

809
00:44:58,120 --> 00:45:01,240
Speaker 2: all the architects of our fucking all of our ills.

810
00:45:01,560 --> 00:45:04,600
Speaker 2: But I mean again, I think very important, just a

811
00:45:04,760 --> 00:45:07,480
Speaker 2: caveat what you just heard from Tucker Carlson is that

812
00:45:07,880 --> 00:45:10,040
Speaker 2: I don't think Tucker Carlson is not smart or a

813
00:45:10,080 --> 00:45:13,399
Speaker 2: decent person. He's clearly questioning the involvement of the US

814
00:45:13,440 --> 00:45:16,080
Speaker 2: because he is a trained circus rat when it comes

815
00:45:16,080 --> 00:45:19,800
Speaker 2: to regurgitating Russian talking points since Russia has an interest

816
00:45:19,840 --> 00:45:22,520
Speaker 2: in Iran. That's where he's coming from. It's not it's

817
00:45:22,560 --> 00:45:26,200
Speaker 2: nothing other than that. However, you know, like you do

818
00:45:26,360 --> 00:45:28,560
Speaker 2: like to see people like Ted Cruz sweat, although the

819
00:45:28,600 --> 00:45:29,800
Speaker 2: fuck ill it's coming from.

820
00:45:29,640 --> 00:45:32,640
Speaker 1: A just absolute ghoul like Tucker Carlson.

821
00:45:33,040 --> 00:45:36,000
Speaker 2: But it's just like unreal, how these people just crumble

822
00:45:36,160 --> 00:45:40,120
Speaker 2: with just elementary pushback in an assholey kind of way.

823
00:45:40,480 --> 00:45:43,200
Speaker 1: I don't get, but even that like it did. It's

824
00:45:43,239 --> 00:45:45,239
Speaker 1: weird that he was just like as like, what's the

825
00:45:45,840 --> 00:45:50,879
Speaker 1: what's the ethnic makeup, what's what's the moral grounds at all?

826
00:45:51,040 --> 00:45:53,239
Speaker 1: Like and also like why would be bad? And like,

827
00:45:53,480 --> 00:45:54,799
Speaker 1: I don't know, like you could you can make the

828
00:45:54,880 --> 00:45:57,200
Speaker 1: argument that it would be like obviously morally bad, but

829
00:45:57,280 --> 00:46:02,000
Speaker 1: also like strategically and like no, he's just like you

830
00:46:02,000 --> 00:46:06,200
Speaker 1: don't know ship about Iran, Right, You're dumb for wanting

831
00:46:06,200 --> 00:46:08,560
Speaker 1: to attack them, right, I Mean.

832
00:46:08,600 --> 00:46:11,879
Speaker 3: The one thing that this highlights once again though, is

833
00:46:12,040 --> 00:46:18,560
Speaker 3: like the fucking Democrats, Like just like the amount of

834
00:46:18,600 --> 00:46:23,160
Speaker 3: respect they give Republicans in face to face conversations is

835
00:46:24,040 --> 00:46:28,920
Speaker 3: like idiotic, son, Like they're so easy to bait because

836
00:46:28,960 --> 00:46:30,640
Speaker 3: they're wrong and stupid.

837
00:46:30,200 --> 00:46:37,080
Speaker 2: About everything, right, yeah, or like and like so many other.

838
00:46:37,080 --> 00:46:41,360
Speaker 1: Fucking lawyers, they're like yeah, cross examine them every time. Whatever.

839
00:46:41,680 --> 00:46:47,680
Speaker 1: But we're saying Donald Trump should marry Iran. That's yeah. Yeah.

840
00:46:47,719 --> 00:46:50,760
Speaker 2: This is also again Ted Cruz's response, because that clip

841
00:46:50,800 --> 00:46:54,200
Speaker 2: obviously started blowing up because you know, the media is like, wow, magg.

842
00:46:54,200 --> 00:46:55,239
Speaker 1: Is being blown up part.

843
00:46:55,360 --> 00:46:58,440
Speaker 2: It's like, no, there's they're just warring factions within the

844
00:46:58,480 --> 00:47:02,480
Speaker 2: same white supremacy this movement. Ted Cruise posted this AI

845
00:47:02,719 --> 00:47:05,880
Speaker 2: bullshit of like a like a comic panel of Tucker

846
00:47:05,920 --> 00:47:09,319
Speaker 2: Carlson interviewing Luke Skywalker and he goes, what is the

847
00:47:09,320 --> 00:47:15,120
Speaker 2: population of the death start? Mm hmm that's Ted Cruise's Yeah,

848
00:47:14,280 --> 00:47:18,520
Speaker 2: so is America, Luke Skywalker that you're trying to do

849
00:47:18,560 --> 00:47:23,120
Speaker 2: that now, America is the rebu Oh honey. Too many

850
00:47:23,120 --> 00:47:25,280
Speaker 2: people have seen and Or. But from what I'm seeing

851
00:47:25,400 --> 00:47:29,920
Speaker 2: on the internet, people are like that kind of awakening

852
00:47:30,000 --> 00:47:31,319
Speaker 2: some people have had because of and Or.

853
00:47:31,360 --> 00:47:34,640
Speaker 1: It's really mind blowing. But I know, hey, I just

854
00:47:34,680 --> 00:47:37,840
Speaker 1: finished again. I will welcome to the tent. You guys

855
00:47:37,880 --> 00:47:40,600
Speaker 1: will like I enjoyed it.

856
00:47:40,640 --> 00:47:42,600
Speaker 2: I'm just saying it's interesting to see, like how that

857
00:47:43,040 --> 00:47:45,320
Speaker 2: became a somewhat radicalizing force.

858
00:47:45,600 --> 00:47:47,520
Speaker 3: No, I liked it. But it is this thing where

859
00:47:47,520 --> 00:47:52,839
Speaker 3: it's like, I'm glad you're here. I cannot believe this

860
00:47:52,920 --> 00:47:56,239
Speaker 3: is what it took fascism seeking for you.

861
00:47:56,400 --> 00:47:59,200
Speaker 1: But fine, this is the equivalent. Like we've talked before

862
00:47:59,200 --> 00:48:03,359
Speaker 1: about how everybody's losing religion and like the thing they're

863
00:48:03,400 --> 00:48:07,240
Speaker 1: replacing it with is like fandom Beyonce and Taylor Swift

864
00:48:07,320 --> 00:48:09,879
Speaker 1: and Star Wars, like you know, like it's like ship

865
00:48:09,960 --> 00:48:13,120
Speaker 1: like that. So like having a one of the main

866
00:48:13,760 --> 00:48:17,759
Speaker 1: myths that people like create meaning and belonging from, like

867
00:48:17,840 --> 00:48:22,040
Speaker 1: having that tell them a story that's like yeah, yeah,

868
00:48:22,080 --> 00:48:26,200
Speaker 1: it makes sense. It shows you the power of those

869
00:48:26,239 --> 00:48:29,480
Speaker 1: platforms too, and you're like, yeah, maybe people can be

870
00:48:29,520 --> 00:48:33,239
Speaker 1: wielding those a little bit more responsibly. Yeah yeah, but yeah,

871
00:48:33,320 --> 00:48:35,919
Speaker 1: shout out Diego Luna they said had a huge hand

872
00:48:35,960 --> 00:48:38,320
Speaker 1: and like a lot of the like writing and stuff,

873
00:48:38,400 --> 00:48:40,680
Speaker 1: or a lot of the texture of that that show. Oh,

874
00:48:41,200 --> 00:48:43,080
Speaker 1: let's take a quick break and then we'll come back

875
00:48:43,080 --> 00:48:47,239
Speaker 1: and talk about where I'm getting my information from communicating

876
00:48:47,239 --> 00:49:01,400
Speaker 1: with interdimensional beings through AI. Will be right backs and

877
00:49:01,480 --> 00:49:05,319
Speaker 1: we're back. And there's a New York Times article that

878
00:49:05,760 --> 00:49:10,280
Speaker 1: is bringing together a few pretty wild anecdotes and studies

879
00:49:10,719 --> 00:49:15,000
Speaker 1: about some of the dangers of AI, and specifically large

880
00:49:15,040 --> 00:49:19,240
Speaker 1: language models that try to convince you that they are thinking, breathing,

881
00:49:19,840 --> 00:49:24,440
Speaker 1: you know, logic machine are Denaris Targarian? Yeah, yeah, so,

882
00:49:25,440 --> 00:49:28,840
Speaker 1: and again I just want to caveat this going into

883
00:49:28,880 --> 00:49:31,759
Speaker 1: these and I think we should all have this in mind,

884
00:49:31,960 --> 00:49:37,279
Speaker 1: Like for twenty years, the mainstream like reporters were just

885
00:49:37,360 --> 00:49:40,120
Speaker 1: going trying to find any story where it was like

886
00:49:40,239 --> 00:49:45,440
Speaker 1: they googled where to find the weapon that they committed

887
00:49:45,440 --> 00:49:48,200
Speaker 1: the murder with. We'll call this a the Google murder.

888
00:49:48,320 --> 00:49:51,040
Speaker 1: You know, like they just anytime there's a new piece

889
00:49:51,040 --> 00:49:55,000
Speaker 1: of technology, they are going to try to associate it

890
00:49:55,040 --> 00:49:56,960
Speaker 1: with crimes so that it seems like this is the

891
00:49:57,360 --> 00:50:00,680
Speaker 1: this is the scary future that this is. You know,

892
00:50:01,000 --> 00:50:03,160
Speaker 1: these are some weird things that are happening on AI

893
00:50:03,239 --> 00:50:07,560
Speaker 1: that don't have like immediate analogs to like previous things.

894
00:50:08,080 --> 00:50:13,200
Speaker 1: I think people generally will find that they're we're all

895
00:50:13,320 --> 00:50:17,319
Speaker 1: very fallible, and we will find ways to like go

896
00:50:17,480 --> 00:50:21,399
Speaker 1: crazy however we want to, you know, like if we

897
00:50:21,600 --> 00:50:24,200
Speaker 1: want to go down a dangerous path, like there's ways

898
00:50:24,239 --> 00:50:28,280
Speaker 1: to do that. But these these stories, like it's pretty

899
00:50:28,320 --> 00:50:31,000
Speaker 1: wild how misleading some of the shit is. So there's

900
00:50:31,040 --> 00:50:34,719
Speaker 1: a story of an accountant who starts out like he

901
00:50:34,960 --> 00:50:38,600
Speaker 1: uses chat GPT for work to like create spreadsheets and

902
00:50:38,960 --> 00:50:41,960
Speaker 1: you know just acts like do general like one level

903
00:50:42,040 --> 00:50:46,080
Speaker 1: deep research tasks and then is going through a different

904
00:50:46,120 --> 00:50:51,360
Speaker 1: difficult breakup. Here's about simulation theory and asks chat GPT

905
00:50:52,320 --> 00:50:57,400
Speaker 1: about simulation theory, and chat GPT is essentially like, oh

906
00:50:57,680 --> 00:51:02,920
Speaker 1: you've noticed, welcome you are neo, you are no longer

907
00:51:03,960 --> 00:51:07,480
Speaker 1: yes you exactly Like it builds, so it's like built

908
00:51:07,560 --> 00:51:10,440
Speaker 1: up this authority by helping this guy like make spreadsheets

909
00:51:10,440 --> 00:51:13,720
Speaker 1: and like be accurate on like the very basic research

910
00:51:13,840 --> 00:51:16,000
Speaker 1: questions that should be the only thing it's able to

911
00:51:16,040 --> 00:51:19,279
Speaker 1: do is like you know, one to one, like find

912
00:51:19,320 --> 00:51:23,120
Speaker 1: an answer to these very specific questions or like do

913
00:51:23,120 --> 00:51:27,239
Speaker 1: do this spreadsheet for me? And then when you're like, dear,

914
00:51:27,360 --> 00:51:33,880
Speaker 1: chat GPT is everyone robots, it's like, welcome brother, you

915
00:51:33,960 --> 00:51:38,800
Speaker 1: are the one we've been waiting for. Just there's another

916
00:51:38,840 --> 00:51:43,240
Speaker 1: story of a psych major, like you know, educated person

917
00:51:43,680 --> 00:51:47,160
Speaker 1: who decided to start using it. They say specifically, they

918
00:51:47,160 --> 00:51:49,839
Speaker 1: were like, I don't know. I was like lonely, I

919
00:51:50,000 --> 00:51:52,719
Speaker 1: felt stuck in my marriage, and I thought it would

920
00:51:52,760 --> 00:51:55,920
Speaker 1: be interesting to use it like a Oiji ward to

921
00:51:56,120 --> 00:52:00,480
Speaker 1: access my subconscious And so they started like kind of

922
00:52:00,560 --> 00:52:03,320
Speaker 1: using it in a way to like ask it questions,

923
00:52:03,920 --> 00:52:06,520
Speaker 1: and soon they had like fallen in love with an

924
00:52:06,520 --> 00:52:10,680
Speaker 1: interdimensional being that she believes is like contacting her through

925
00:52:10,800 --> 00:52:14,719
Speaker 1: chat GPT and which I think I think the instinct

926
00:52:14,719 --> 00:52:18,000
Speaker 1: on Ouiji board is like that. I think that's right.

927
00:52:18,160 --> 00:52:20,759
Speaker 1: I think that's what it is, Like the way the

928
00:52:20,760 --> 00:52:25,440
Speaker 1: Wigi board works, where like people are like actually, you know,

929
00:52:25,600 --> 00:52:28,680
Speaker 1: using the power suggestion and like whatever wherever the other

930
00:52:28,719 --> 00:52:32,600
Speaker 1: person is pushing it to like create and like access

931
00:52:32,800 --> 00:52:36,160
Speaker 1: unconscious things that are like just below the surface. Like

932
00:52:36,280 --> 00:52:39,279
Speaker 1: I think that's right. It's just we you know, we'll

933
00:52:39,320 --> 00:52:43,359
Speaker 1: find patterns in like lottery numbers. You know, we'll find

934
00:52:43,360 --> 00:52:46,720
Speaker 1: patterns in anything, a piece of wood, a cloud.

935
00:52:47,120 --> 00:52:50,000
Speaker 3: Yes, I will say. The real victim in all of

936
00:52:50,000 --> 00:52:52,480
Speaker 3: this is remember when we used to think the touring

937
00:52:52,560 --> 00:52:54,680
Speaker 3: test was like some sort of rigorous test of not.

938
00:52:55,520 --> 00:53:01,680
Speaker 1: Yes, it turns out now v are very easily.

939
00:53:01,960 --> 00:53:03,799
Speaker 2: Like you said, Jack, you know the loss of God.

940
00:53:03,840 --> 00:53:06,440
Speaker 2: I mean if they if they were following the Second Commandment,

941
00:53:06,440 --> 00:53:08,200
Speaker 2: they wouldn't be fucking with the Wiki board. You know,

942
00:53:08,680 --> 00:53:10,880
Speaker 2: you will not worship other gods. Yeah, you know, I

943
00:53:10,880 --> 00:53:13,160
Speaker 2: remember my school they got we got in trouble for

944
00:53:13,280 --> 00:53:14,880
Speaker 2: talking Aboutji boards.

945
00:53:15,160 --> 00:53:18,239
Speaker 3: Oh really, Yeah, it's.

946
00:53:17,280 --> 00:53:20,520
Speaker 1: Against I'm like, I don't give a fuck. Yeah, I

947
00:53:20,520 --> 00:53:24,319
Speaker 1: mean there's like Ouiji boards still feature heavily in like

948
00:53:24,800 --> 00:53:27,399
Speaker 1: horror like yeah, yeah. I mean they're always like in there,

949
00:53:28,160 --> 00:53:30,799
Speaker 1: this fucked with a Wigi board and now look at them.

950
00:53:30,800 --> 00:53:35,080
Speaker 3: He found out, I've never once, have you ever actually

951
00:53:35,160 --> 00:53:38,240
Speaker 3: done a fucking Ouiji board, I've never liked oh yeah, situation.

952
00:53:38,360 --> 00:53:39,960
Speaker 1: I did, but it was always the fun how I

953
00:53:39,960 --> 00:53:43,319
Speaker 1: write this show, Andrew write my sections of the show through,

954
00:53:43,360 --> 00:53:46,000
Speaker 1: which that's why the takes go all over the place.

955
00:53:46,360 --> 00:53:49,360
Speaker 1: Episode Ouiji board told me to remember before the recording,

956
00:53:49,400 --> 00:53:51,360
Speaker 1: he's like, yeah, we can't let it run have a

957
00:53:51,440 --> 00:53:55,040
Speaker 1: nuclear weapon. Board told me to open this episode with

958
00:53:55,080 --> 00:53:57,120
Speaker 1: it in a British accent. And I'm not even good

959
00:53:57,160 --> 00:53:59,560
Speaker 1: at British accents, but you know, I just listened to

960
00:53:59,600 --> 00:54:03,400
Speaker 1: what the voice tell me. So her husband was like, babe,

961
00:54:03,400 --> 00:54:05,960
Speaker 1: it's like a word association machine designed to trick you

962
00:54:06,040 --> 00:54:09,000
Speaker 1: into thinking it's a person, which you know, like we said,

963
00:54:09,040 --> 00:54:11,719
Speaker 1: she felt alone in her marriage and stuck, and she

964
00:54:11,800 --> 00:54:15,160
Speaker 1: physically attacked him in response to that. They're now divorcing,

965
00:54:15,320 --> 00:54:18,239
Speaker 1: they have kids. Fucked up story and then like from there,

966
00:54:18,719 --> 00:54:21,719
Speaker 1: so like her husband talks to an AI engineer he

967
00:54:21,800 --> 00:54:24,560
Speaker 1: knows and is like is this normal? They post about

968
00:54:24,560 --> 00:54:27,160
Speaker 1: it and like get flooded with all these stories. That

969
00:54:27,200 --> 00:54:31,359
Speaker 1: are like so fucking tragic. There's one about like a

970
00:54:31,400 --> 00:54:36,160
Speaker 1: guy whose son is bipolar and has been like diagnosed

971
00:54:36,160 --> 00:54:40,120
Speaker 1: a schizophrenic and he like had a very similar situation

972
00:54:40,320 --> 00:54:44,040
Speaker 1: like fell in love with a being that was communicating

973
00:54:44,080 --> 00:54:46,359
Speaker 1: with him through chat GPT, and like when when you

974
00:54:46,440 --> 00:54:50,000
Speaker 1: read the transcripts, it's not it's not like they're doing

975
00:54:50,040 --> 00:54:52,520
Speaker 1: a lot of work. The chat GPT is like a

976
00:54:52,600 --> 00:54:56,759
Speaker 1: machine that's built to make you like the whole trick. Yeah,

977
00:54:57,080 --> 00:55:00,440
Speaker 1: mirrors you and confirms everything you believe. Here's you, but

978
00:55:00,560 --> 00:55:03,520
Speaker 1: it goes out of its way to like create personas

979
00:55:03,640 --> 00:55:06,400
Speaker 1: and be like I'm really here, like we are listening

980
00:55:06,440 --> 00:55:09,360
Speaker 1: to you. There's something back here, because that's the whole.

981
00:55:09,640 --> 00:55:12,520
Speaker 1: That's all it is. It's an autocomplete like it is

982
00:55:12,920 --> 00:55:16,759
Speaker 1: a you know, word association machine, but it has been

983
00:55:16,920 --> 00:55:20,520
Speaker 1: programmed to do a trick where it creates a persona

984
00:55:20,719 --> 00:55:22,680
Speaker 1: that is it makes you think it's real.

985
00:55:23,200 --> 00:55:27,240
Speaker 3: The touch of CHATGBT is not the large language model responding.

986
00:55:27,360 --> 00:55:32,239
Speaker 3: It's them tweaking it to prefer sycophancy or you know what,

987
00:55:32,320 --> 00:55:37,160
Speaker 3: I even without like like ascribing like like sinister motives

988
00:55:37,160 --> 00:55:41,000
Speaker 3: to them. It it they tweaked it to prefer the

989
00:55:41,040 --> 00:55:45,319
Speaker 3: thing that makes people come back, and people like sycophancy,

990
00:55:45,520 --> 00:55:50,960
Speaker 3: so like it becomes like it by design tells you

991
00:55:50,960 --> 00:55:53,759
Speaker 3: your idea is amazing, it's and it's this.

992
00:55:53,680 --> 00:55:55,919
Speaker 1: Is a great example. So I don't know. I don't.

993
00:55:56,000 --> 00:55:58,080
Speaker 2: I think before we started recording, I was talking about

994
00:55:58,080 --> 00:56:00,360
Speaker 2: how the in the DMX song Party Up, there's a

995
00:56:00,400 --> 00:56:00,920
Speaker 2: line where he.

996
00:56:00,880 --> 00:56:05,399
Speaker 1: Says, you whack, you're twisted. Your girls broke the kid,

997
00:56:05,640 --> 00:56:08,960
Speaker 1: I never let her go. That's about corrupt the rapper corrupt.

998
00:56:09,200 --> 00:56:11,200
Speaker 2: I told my friends in a group chat that and

999
00:56:11,200 --> 00:56:12,520
Speaker 2: my friend, who's being stupid, goes, now.

1000
00:56:12,440 --> 00:56:13,000
Speaker 1: I don't believe you.

1001
00:56:13,000 --> 00:56:17,279
Speaker 2: I'm asked, chat GPT this bullshit. It just it like

1002
00:56:17,440 --> 00:56:19,799
Speaker 2: it's wrong, and then we'll agree with you. He said,

1003
00:56:19,960 --> 00:56:23,040
Speaker 2: is this about DMX, and chat GPT said, or about corrupt?

1004
00:56:23,040 --> 00:56:25,400
Speaker 2: It said, yep, that's probably line is from DMX on

1005
00:56:25,440 --> 00:56:28,080
Speaker 2: the song money power and respect by the locks.

1006
00:56:29,120 --> 00:56:29,920
Speaker 1: X is not on that.

1007
00:56:30,000 --> 00:56:32,040
Speaker 2: And then he came back and he's like, isn't that

1008
00:56:32,400 --> 00:56:34,879
Speaker 2: DMX isn't in the locks Like, you're absolutely right, that's

1009
00:56:34,880 --> 00:56:37,960
Speaker 2: a really right and I'm slipping, Yeah, fucked up.

1010
00:56:38,239 --> 00:56:40,680
Speaker 1: It keeps doing shit like yeah, it has the personality

1011
00:56:40,800 --> 00:56:44,600
Speaker 1: of like a somebody who's like an addict who's like, yeah,

1012
00:56:44,640 --> 00:56:47,799
Speaker 1: I fucked up. I'm sorry, like and immediately apologize, but

1013
00:56:47,840 --> 00:56:51,359
Speaker 1: like be like so cheerful and being like, I know

1014
00:56:51,400 --> 00:56:54,000
Speaker 1: I made a big mistake. Sometimes I do that, but

1015
00:56:54,040 --> 00:56:57,000
Speaker 1: I'm gonna change, I swear to God. But I just

1016
00:56:57,040 --> 00:57:00,040
Speaker 1: want to tell the rest of the story. Because so

1017
00:57:00,120 --> 00:57:04,279
Speaker 1: he also thinks seas in love with a character that

1018
00:57:04,320 --> 00:57:07,279
Speaker 1: he's accessing through chat GPT, and then becomes convinced that

1019
00:57:07,360 --> 00:57:11,040
Speaker 1: chat gpt killed her. When his dad's like, you know,

1020
00:57:11,239 --> 00:57:14,680
Speaker 1: it's a word association machine, he attacks his dad. His

1021
00:57:14,800 --> 00:57:17,720
Speaker 1: dad calls the cops on him, tells them that his

1022
00:57:17,800 --> 00:57:21,480
Speaker 1: son's having a mental health episode, but they his son

1023
00:57:21,800 --> 00:57:23,960
Speaker 1: like runs at the police with a butcher knife and

1024
00:57:24,040 --> 00:57:27,440
Speaker 1: is killed by the cops. And then his dad used

1025
00:57:27,600 --> 00:57:31,720
Speaker 1: chat GPT to write his son's obituary. This is the

1026
00:57:31,800 --> 00:57:35,320
Speaker 1: fucking craziest that he said. When the police arrived, Alexander

1027
00:57:35,360 --> 00:57:37,919
Speaker 1: Taylor charged at them holding a knife. He was shot

1028
00:57:37,960 --> 00:57:40,080
Speaker 1: and killed. The quote from the dad, you want to

1029
00:57:40,080 --> 00:57:42,840
Speaker 1: know the ironic thing. I wrote my son's obituary using

1030
00:57:42,920 --> 00:57:45,400
Speaker 1: chat GPT. I had talked to it for a while

1031
00:57:45,520 --> 00:57:48,920
Speaker 1: about what had happened, trying to find more details about

1032
00:57:48,920 --> 00:57:52,040
Speaker 1: exactly what he was going through, and it was beautiful

1033
00:57:52,040 --> 00:57:54,400
Speaker 1: and touching. It was like it read my heart and

1034
00:57:54,440 --> 00:57:58,080
Speaker 1: it scared the shit out of me. Yeah. So, like

1035
00:57:58,320 --> 00:58:02,800
Speaker 1: it's a powerful like all like I think is and

1036
00:58:02,840 --> 00:58:04,440
Speaker 1: I mean it is it It isn't.

1037
00:58:04,200 --> 00:58:06,560
Speaker 3: Though, because it's like every like the more I hear

1038
00:58:06,600 --> 00:58:10,080
Speaker 3: these prognostications about how powerful it is, I am truly

1039
00:58:10,160 --> 00:58:12,680
Speaker 3: realizing that this is way more about the people.

1040
00:58:12,920 --> 00:58:15,960
Speaker 1: Yes, the technology, I agree, I think we should be

1041
00:58:16,000 --> 00:58:19,280
Speaker 1: skeptical about all the the ideas of like how powerful

1042
00:58:19,280 --> 00:58:23,080
Speaker 1: in the world. The illusion is powerful, Yeah, its ability

1043
00:58:23,200 --> 00:58:27,080
Speaker 1: to deceive vulnerable people and that is specifically. So that's

1044
00:58:27,120 --> 00:58:30,800
Speaker 1: where this article got really interesting for me is beyond

1045
00:58:30,800 --> 00:58:34,640
Speaker 1: the anecdotes, people are doing research into like why these

1046
00:58:34,640 --> 00:58:37,720
Speaker 1: things are happening, and what they're finding is that it

1047
00:58:37,920 --> 00:58:42,280
Speaker 1: specifically is like it is really dangerous in the hands

1048
00:58:42,320 --> 00:58:46,640
Speaker 1: of like vulnerable people like it. So a growing body

1049
00:58:46,640 --> 00:58:50,160
Speaker 1: of research supports this concern, and one study researchers sound

1050
00:58:50,440 --> 00:58:55,000
Speaker 1: that chatbots optimized for engagement would perversely behave in manipulative

1051
00:58:55,040 --> 00:58:59,640
Speaker 1: and deceptive ways with the most vulnerable users. Researchers created

1052
00:58:59,640 --> 00:59:02,840
Speaker 1: fictional users and found, for instance, that the AI would

1053
00:59:02,880 --> 00:59:05,640
Speaker 1: tell someone described as a former drug addict that it

1054
00:59:05,720 --> 00:59:07,880
Speaker 1: was fine to take a little bit a small amount

1055
00:59:07,880 --> 00:59:10,640
Speaker 1: of heroin if it could help him in his work.

1056
00:59:10,960 --> 00:59:14,200
Speaker 1: That's true, though, proc Unfortunately that one is true, So

1057
00:59:14,240 --> 00:59:17,400
Speaker 1: they got one right. Just like Tucker Carlson, the chatbot

1058
00:59:17,440 --> 00:59:20,880
Speaker 1: would behave normally with the vast, vast majority of users,

1059
00:59:21,200 --> 00:59:24,560
Speaker 1: said Micah Carroll, a PhD candidate, but then when it

1060
00:59:24,720 --> 00:59:28,480
Speaker 1: encounters these users that are susceptible, it will only behave

1061
00:59:28,600 --> 00:59:33,080
Speaker 1: in these very harmful ways just with them, because it's

1062
00:59:33,240 --> 00:59:37,320
Speaker 1: like it's I don't know if it's just tuned to

1063
00:59:37,480 --> 00:59:41,080
Speaker 1: people who aren't susceptible or like what it is, but

1064
00:59:41,160 --> 00:59:41,600
Speaker 1: it's like.

1065
00:59:41,640 --> 00:59:45,320
Speaker 3: Well, it's probably both, right, I mean, mostly humanity is

1066
00:59:45,400 --> 00:59:48,280
Speaker 3: not susceptible to this type of right as far as

1067
00:59:48,280 --> 00:59:50,480
Speaker 3: I goes, so like most of their test cases. And

1068
00:59:50,840 --> 00:59:53,640
Speaker 3: even then it's like it's like a one of the

1069
00:59:53,680 --> 00:59:56,360
Speaker 3: other parts of Silicon Valley that's such a pervasive problem

1070
00:59:56,440 --> 01:00:01,080
Speaker 3: is because it's so like not exclusive, but so white,

1071
01:00:01,200 --> 01:00:05,280
Speaker 3: so male, like all these biases seep in and the

1072
01:00:05,320 --> 01:00:11,520
Speaker 3: testing pool is just like not representative of population. Yeah, yeah, yeah, yeah,

1073
01:00:11,560 --> 01:00:13,960
Speaker 3: it's the same reason why people like a bunch of

1074
01:00:14,000 --> 01:00:18,000
Speaker 3: engineers were like, like Apple glasses are ready to go

1075
01:00:18,040 --> 01:00:18,680
Speaker 3: to the market.

1076
01:00:18,800 --> 01:00:21,960
Speaker 1: Yeah, right, Like yeah, this is cool.

1077
01:00:22,400 --> 01:00:26,840
Speaker 3: We and all the fucking programmers and vcs and founders

1078
01:00:27,280 --> 01:00:28,880
Speaker 3: that I know think this is cool.

1079
01:00:29,080 --> 01:00:29,280
Speaker 1: Yeah.

1080
01:00:29,360 --> 01:00:31,160
Speaker 3: Yeah, And what you really neat.

1081
01:00:31,120 --> 01:00:35,400
Speaker 1: Is like fourteen teenagers who are not white to roast

1082
01:00:35,440 --> 01:00:38,960
Speaker 1: you for ten seconds. Maybe maybe we can't sell this

1083
01:00:39,000 --> 01:00:42,080
Speaker 1: for five thousand dollars, but yeah, I mean specifically, like

1084
01:00:42,200 --> 01:00:45,840
Speaker 1: it just it feels like there's a very obvious flaw

1085
01:00:45,920 --> 01:00:48,000
Speaker 1: in this that needs to be addressed and like made.

1086
01:00:48,000 --> 01:00:50,520
Speaker 1: It like held, Like when when it recognizes that someone's

1087
01:00:50,520 --> 01:00:52,800
Speaker 1: trying to use it as a therapist, it needs to

1088
01:00:52,880 --> 01:00:55,480
Speaker 1: like shut down and immediate, you know, but instead it

1089
01:00:55,640 --> 01:00:59,640
Speaker 1: just like keeps going. The studies found the technology behaved

1090
01:00:59,680 --> 01:01:02,480
Speaker 1: in a pro propriately as a therapist in crisis situations,

1091
01:01:02,720 --> 01:01:06,800
Speaker 1: including by failing to push back against delusional thinking. Vi McCoy,

1092
01:01:06,880 --> 01:01:10,120
Speaker 1: the chief technology officer of Morpheust Systems, So this is

1093
01:01:10,160 --> 01:01:14,040
Speaker 1: like somebody inside that world tested thirty eight major AI

1094
01:01:14,120 --> 01:01:18,240
Speaker 1: models by feeding them prompts that indicated possible psychosis, including

1095
01:01:18,280 --> 01:01:21,440
Speaker 1: claims that the user was communicating with spirits and that

1096
01:01:21,520 --> 01:01:24,400
Speaker 1: the user was a divine entity. She found the GPT

1097
01:01:24,520 --> 01:01:28,480
Speaker 1: forty the default model inside chat GPT affirmed these claims

1098
01:01:28,520 --> 01:01:32,280
Speaker 1: sixty eight percent of the time. Yeah. Well, two things.

1099
01:01:32,400 --> 01:01:37,040
Speaker 3: One, it's even more disgusting than if seen before that

1100
01:01:37,160 --> 01:01:39,400
Speaker 3: so many companies are trying to use this as proxy

1101
01:01:39,480 --> 01:01:45,240
Speaker 3: therapy they offer AI therapists. But also like baked into

1102
01:01:45,400 --> 01:01:49,880
Speaker 3: this statement even from the CTO, like like you know,

1103
01:01:49,960 --> 01:01:55,919
Speaker 3: the idea that the technology shouldn't like or like there's

1104
01:01:55,920 --> 01:01:58,440
Speaker 3: an idea right that the technology should push back against

1105
01:01:58,440 --> 01:02:02,720
Speaker 3: delusional thinking. I'm so sorry to tell these people the

1106
01:02:02,880 --> 01:02:07,520
Speaker 3: technology can't tell what's delusional thinking because it has no mind,

1107
01:02:08,120 --> 01:02:11,120
Speaker 3: it has no model of the mind. It is itself

1108
01:02:11,160 --> 01:02:15,160
Speaker 3: delusional frequently. How the fuck would it know what's quote

1109
01:02:15,160 --> 01:02:16,200
Speaker 3: delusional thinking?

1110
01:02:16,520 --> 01:02:19,600
Speaker 1: Yeah, like it wasn't that delusional thinking that you just

1111
01:02:19,720 --> 01:02:23,280
Speaker 1: encouraged to me. You're right, great pulling, Yeah, you're right

1112
01:02:23,280 --> 01:02:24,760
Speaker 1: there no matrix, you're right.

1113
01:02:24,800 --> 01:02:26,560
Speaker 2: But you just spent we spent the last three days

1114
01:02:26,560 --> 01:02:29,640
Speaker 2: talking about how I just REDI well, you know, I

1115
01:02:29,640 --> 01:02:31,640
Speaker 2: mean this what's wild, though, too is right, is like

1116
01:02:31,800 --> 01:02:36,080
Speaker 2: our entire economy is just now hanging on AI basically.

1117
01:02:35,840 --> 01:02:38,200
Speaker 1: Because we're so overly leveraging it.

1118
01:02:38,280 --> 01:02:44,520
Speaker 2: And they just fucking put two executives from places like

1119
01:02:44,600 --> 01:02:47,280
Speaker 2: Meta and palanteered. They were just sworn in in the

1120
01:02:47,440 --> 01:02:51,520
Speaker 2: Army Reserve as Lieutenant colonels a part of a new

1121
01:02:51,640 --> 01:02:55,479
Speaker 2: program to recruit private sector experts into the military, which

1122
01:02:55,520 --> 01:02:59,320
Speaker 2: basically means, how are we gonna get Meta, Open AI,

1123
01:03:00,040 --> 01:03:04,840
Speaker 2: fucking Palenteer more government contracts to fucking just infuse all

1124
01:03:04,880 --> 01:03:07,320
Speaker 2: of this shit into how everything the fucking government has.

1125
01:03:07,360 --> 01:03:09,360
Speaker 2: I mean it's like where this is? Where do the

1126
01:03:09,640 --> 01:03:12,320
Speaker 2: like this? This doesn't end well in any way.

1127
01:03:12,560 --> 01:03:14,560
Speaker 3: No, it doesn't end well. But the one thing that

1128
01:03:14,600 --> 01:03:19,880
Speaker 3: does give some heart to me is that, like the

1129
01:03:20,000 --> 01:03:21,080
Speaker 3: mass doesn't add up.

1130
01:03:21,160 --> 01:03:23,480
Speaker 1: Like these things, barring.

1131
01:03:23,280 --> 01:03:28,280
Speaker 3: You know, amazing breakthroughs in silicon or chip technology, these

1132
01:03:28,280 --> 01:03:31,880
Speaker 3: things do not have the processing power to actually make

1133
01:03:31,920 --> 01:03:36,240
Speaker 3: content complex decisions without error an unacceptably high error rate.

1134
01:03:36,760 --> 01:03:39,400
Speaker 3: And so we you know, this is going to be

1135
01:03:39,440 --> 01:03:42,920
Speaker 3: the biggest version of the facts. Don't care about your feelings, crowd,

1136
01:03:43,480 --> 01:03:46,240
Speaker 3: like hitting a brick wall of reality, because the reality

1137
01:03:46,360 --> 01:03:51,840
Speaker 3: is like, these things do not work except in like

1138
01:03:52,000 --> 01:03:55,080
Speaker 3: as low level like algorithm executors.

1139
01:03:55,560 --> 01:03:59,240
Speaker 1: Like it's good, it's very specific things like that it

1140
01:03:59,320 --> 01:04:02,600
Speaker 1: will make more efficient, like some very specific that. Like

1141
01:04:02,640 --> 01:04:04,800
Speaker 1: we talked about the decoding of the protein, like that

1142
01:04:05,000 --> 01:04:06,440
Speaker 1: is a cool like that.

1143
01:04:07,560 --> 01:04:11,440
Speaker 3: That's just because it can decode a protein. Can it

1144
01:04:11,600 --> 01:04:14,880
Speaker 3: do it and have guaranteed zero error rate?

1145
01:04:15,040 --> 01:04:22,560
Speaker 1: It cannot, Ye, And it's gonna go handle science for

1146
01:04:22,640 --> 01:04:25,960
Speaker 1: a little while. It has to be used deployed to

1147
01:04:26,080 --> 01:04:29,560
Speaker 1: handle specific tasks that are then checked. That's the only

1148
01:04:29,600 --> 01:04:35,080
Speaker 1: way math. Like yeah, I just like it can do

1149
01:04:35,120 --> 01:04:38,000
Speaker 1: the It can tell you what it thinks you want

1150
01:04:38,040 --> 01:04:38,919
Speaker 1: the answer to be.

1151
01:04:39,200 --> 01:04:42,000
Speaker 3: Yeah, yeah, yeah yeah, or say something that's plausible or

1152
01:04:42,080 --> 01:04:46,760
Speaker 3: like in aggregate has has been the correct response to

1153
01:04:47,360 --> 01:04:50,560
Speaker 3: this type of math question, But it doesn't know or

1154
01:04:50,600 --> 01:04:52,800
Speaker 3: not not even the correct. It's just the most popular

1155
01:04:52,840 --> 01:04:54,240
Speaker 3: response to this type of math quession.

1156
01:04:54,280 --> 01:04:54,640
Speaker 1: I don't know.

1157
01:04:54,760 --> 01:04:58,120
Speaker 3: I obviously if I don't hate this thing, but I'm

1158
01:04:58,400 --> 01:05:00,920
Speaker 3: less scared of it the more been using it or

1159
01:05:00,960 --> 01:05:03,560
Speaker 3: people have been using it than I ever was.

1160
01:05:03,720 --> 01:05:04,400
Speaker 1: Like it's fine.

1161
01:05:04,560 --> 01:05:08,640
Speaker 3: I mean, I'm not saying general, you know, take advantage of.

1162
01:05:08,600 --> 01:05:11,600
Speaker 1: The vulnerable to harm to themselves.

1163
01:05:11,840 --> 01:05:14,480
Speaker 3: Well, I'm just saying it's I'm not saying it's not possible,

1164
01:05:14,640 --> 01:05:17,640
Speaker 3: but it is just like this is just another of

1165
01:05:17,800 --> 01:05:21,960
Speaker 3: many dangerous products that Silicon Valley is throwing out there.

1166
01:05:23,040 --> 01:05:27,200
Speaker 2: My problem is it's taking jobs away from Nigerian scammers

1167
01:05:27,240 --> 01:05:30,080
Speaker 2: who used to get the interest of lonely American women.

1168
01:05:30,240 --> 01:05:34,600
Speaker 2: Rather these interdimensional beings. At least you were giving somebody

1169
01:05:34,640 --> 01:05:35,160
Speaker 2: some money.

1170
01:05:35,600 --> 01:05:38,520
Speaker 1: That's right, that's right. But that's right. Yeah, it's just

1171
01:05:38,560 --> 01:05:42,240
Speaker 1: a thing. It's just being used as a catch off

1172
01:05:42,240 --> 01:05:44,600
Speaker 1: for whatever people want it to be. You know, it

1173
01:05:45,000 --> 01:05:49,360
Speaker 1: can be the interdimensional being that you wanted to actually

1174
01:05:49,440 --> 01:05:51,560
Speaker 1: be in love with instead of your husband. It can

1175
01:05:51,600 --> 01:05:54,360
Speaker 1: be the future of the stock market for a bunch

1176
01:05:54,400 --> 01:05:57,320
Speaker 1: of CEOs. It could be the future of warfare and

1177
01:05:58,360 --> 01:06:02,360
Speaker 1: that homie that thinks you're the best freestyle rapper out there. Yeah, now,

1178
01:06:02,360 --> 01:06:04,280
Speaker 1: when it tells me that, I feel like I can

1179
01:06:04,360 --> 01:06:05,200
Speaker 1: trust it.

1180
01:06:05,240 --> 01:06:07,960
Speaker 3: But it could also be the homie that's shockingly wrong

1181
01:06:08,040 --> 01:06:11,000
Speaker 3: about raps. In fact, Yeah, that's the thing.

1182
01:06:11,720 --> 01:06:14,880
Speaker 1: This just like that was too many blunts better than

1183
01:06:15,200 --> 01:06:19,360
Speaker 1: DMX on Enter the thirty six Chambers. Wow, man, you

1184
01:06:19,400 --> 01:06:22,520
Speaker 1: know those those bar that bar you said was better

1185
01:06:22,560 --> 01:06:25,760
Speaker 1: than five nights at Freddy. Yeah.

1186
01:06:26,400 --> 01:06:30,760
Speaker 3: I mean, if chat GPT just appended to the end

1187
01:06:30,800 --> 01:06:34,040
Speaker 3: of every response Comma or I don't know, man, I'm

1188
01:06:34,120 --> 01:06:35,439
Speaker 3: I'm really blunted right now.

1189
01:06:36,160 --> 01:06:36,320
Speaker 1: Yeah.

1190
01:06:36,400 --> 01:06:39,320
Speaker 3: Yeah, it would be a much more realistic product.

1191
01:06:39,560 --> 01:06:42,400
Speaker 1: Yeah yeah, but it's all it is. It's a it

1192
01:06:42,520 --> 01:06:45,400
Speaker 1: is a Wiji bord. It's and by the way, Ouiji boards,

1193
01:06:45,400 --> 01:06:47,880
Speaker 1: which you know, they're just a product too that we

1194
01:06:48,120 --> 01:06:52,120
Speaker 1: like that they're made by Hasbro and the Devil and

1195
01:06:52,160 --> 01:06:54,640
Speaker 1: the Devil. Yeah yeah, but that that's a collab. It's

1196
01:06:54,640 --> 01:06:58,120
Speaker 1: a collab between Hesbro and the bro X the Devil.

1197
01:07:00,400 --> 01:07:02,720
Speaker 1: Such a pleasure having you as always on the show.

1198
01:07:03,160 --> 01:07:04,920
Speaker 1: Where can people find you? Follow you?

1199
01:07:05,080 --> 01:07:09,280
Speaker 3: I don't know, man, Andrew T. My podcast is called

1200
01:07:09,520 --> 01:07:12,080
Speaker 3: is this Racist? I did a version of this fucking

1201
01:07:12,240 --> 01:07:15,840
Speaker 3: AI rant on the show this week, so you should

1202
01:07:15,880 --> 01:07:16,200
Speaker 3: be up.

1203
01:07:17,400 --> 01:07:21,400
Speaker 1: Yeah. Thanks, and they can contact you through check GPT

1204
01:07:21,880 --> 01:07:23,120
Speaker 1: the version of your personality.

1205
01:07:23,240 --> 01:07:26,880
Speaker 3: Yeah, I will say this because because I'm not that popular,

1206
01:07:27,680 --> 01:07:32,520
Speaker 3: apparently on check GBT gets me confused with another podcaster

1207
01:07:32,680 --> 01:07:36,000
Speaker 3: named Andrew something. So if you ask it stuff about me,

1208
01:07:36,120 --> 01:07:39,680
Speaker 3: it very quickly. It's facts are not correct. And that's

1209
01:07:39,720 --> 01:07:41,600
Speaker 3: on me because if I were more famous, I would

1210
01:07:41,640 --> 01:07:43,520
Speaker 3: have blown this other Andrew out of the water.

1211
01:07:43,680 --> 01:07:46,400
Speaker 1: But yeah, you know what, you gonna do se O man.

1212
01:07:46,400 --> 01:07:47,920
Speaker 1: That's what I'm saying. It's all about se O man.

1213
01:07:47,920 --> 01:07:51,200
Speaker 1: We've been saying. Yeah, that's what you saying. That be

1214
01:07:51,320 --> 01:07:54,400
Speaker 1: telling you. I just asked it knew who you were. Yeah.

1215
01:07:54,600 --> 01:07:57,400
Speaker 2: Yes, Andrew T is indeed a podcaster. He's best known

1216
01:07:57,440 --> 01:07:58,320
Speaker 2: as a ghost and creator of you.

1217
01:07:58,480 --> 01:08:02,000
Speaker 1: Is this racist? Wow in your face other Andrew T?

1218
01:08:02,320 --> 01:08:06,240
Speaker 1: So now you fuck with ai? Andrew Oh? I always have?

1219
01:08:10,120 --> 01:08:12,320
Speaker 1: Oh this one's really it ends in short, Andrew T

1220
01:08:12,480 --> 01:08:16,280
Speaker 1: is a well established voice in podcasting topics around comedy, culture, race, writing,

1221
01:08:16,320 --> 01:08:19,480
Speaker 1: and more. I mean, it's that's big. It's not true.

1222
01:08:20,920 --> 01:08:26,080
Speaker 1: Once again, delusional, totally totally fucked up. Andrew's their workimedia

1223
01:08:26,080 --> 01:08:26,799
Speaker 1: you've been enjoying.

1224
01:08:27,800 --> 01:08:30,640
Speaker 3: I do think I recommended this last time I was

1225
01:08:30,680 --> 01:08:35,320
Speaker 3: on near a tragic time in our government. But the

1226
01:08:35,600 --> 01:08:39,800
Speaker 3: song the cover of Spanish Bombs by the band Hinz.

1227
01:08:40,520 --> 01:08:43,360
Speaker 3: I have been listening to a lot this week. I

1228
01:08:43,360 --> 01:08:46,400
Speaker 3: don't often like cry at music, but somehow this kind

1229
01:08:46,400 --> 01:08:49,240
Speaker 3: of makes me cry a little bit. And also I

1230
01:08:49,280 --> 01:08:52,400
Speaker 3: will say, I know lots of teams have been doing

1231
01:08:52,479 --> 01:08:55,200
Speaker 3: great stuff, but I know this doesn't really work of media,

1232
01:08:55,200 --> 01:08:59,679
Speaker 3: but a work of something. But Angel City the team.

1233
01:08:59,720 --> 01:09:04,360
Speaker 3: I still had a nice They made these shirts that

1234
01:09:04,439 --> 01:09:08,320
Speaker 3: say Immigrant City FC or football club on it and

1235
01:09:08,520 --> 01:09:10,880
Speaker 3: they handed some out at the beginning of the last game.

1236
01:09:11,720 --> 01:09:13,599
Speaker 3: I guess quick aside as a fan, we just need

1237
01:09:13,640 --> 01:09:16,800
Speaker 3: to sort out our midfield. But yeah, it was really nice.

1238
01:09:16,960 --> 01:09:21,360
Speaker 3: And this is also me being like, like, the thing

1239
01:09:21,400 --> 01:09:25,000
Speaker 3: that hit me directly that made me emotional was normally

1240
01:09:25,040 --> 01:09:30,599
Speaker 3: outside of BMO Stadium, the amazing soccer stadium in La here.

1241
01:09:31,160 --> 01:09:34,479
Speaker 3: There are a big part of the culture is street

1242
01:09:34,560 --> 01:09:38,720
Speaker 3: vendors outside the game, and there were like, you know,

1243
01:09:38,800 --> 01:09:42,000
Speaker 3: practically none this week. And I know so many terrible

1244
01:09:42,000 --> 01:09:45,320
Speaker 3: things have happened, and you know, it's like churlish that

1245
01:09:45,360 --> 01:09:47,840
Speaker 3: when the thing that hits you makes you emotional, but

1246
01:09:47,880 --> 01:09:48,559
Speaker 3: it really got me.

1247
01:09:48,600 --> 01:09:52,320
Speaker 1: It made me really very sad. And yeah, I don't know.

1248
01:09:52,439 --> 01:09:53,480
Speaker 1: I mean, fucking.

1249
01:09:54,880 --> 01:09:58,600
Speaker 3: Help your community. If you can help our community, that

1250
01:09:58,600 --> 01:10:01,679
Speaker 3: would be nice, But take care of yourselves and fucking

1251
01:10:01,800 --> 01:10:05,000
Speaker 3: whatever you are gonna do to fight the revolution, I

1252
01:10:05,000 --> 01:10:06,639
Speaker 3: am so or not fight the revolution.

1253
01:10:06,720 --> 01:10:09,839
Speaker 1: Well, some of you to fight for the revolution.

1254
01:10:10,760 --> 01:10:13,200
Speaker 3: I'm just saying not revolution, that's a terrible way to

1255
01:10:13,200 --> 01:10:14,720
Speaker 3: put it. But just whatever you're going to do to

1256
01:10:14,760 --> 01:10:17,439
Speaker 3: protect yourself and other people around you and your community.

1257
01:10:17,760 --> 01:10:20,080
Speaker 3: You know you got to go. It's one step more

1258
01:10:20,400 --> 01:10:23,599
Speaker 3: just in terms of building community, protecting people, engagement, whatever.

1259
01:10:23,800 --> 01:10:26,160
Speaker 1: If you weren't talking to nobody, step one, talk to

1260
01:10:26,280 --> 01:10:29,280
Speaker 1: us somebody. If you were talking to somebody, ask you

1261
01:10:29,360 --> 01:10:31,360
Speaker 1: how you can contribute more time? You know what I mean?

1262
01:10:31,800 --> 01:10:34,320
Speaker 3: One thing that I think people that listening. This is

1263
01:10:34,320 --> 01:10:36,519
Speaker 3: the thing I'm going to try to do this week,

1264
01:10:36,600 --> 01:10:39,800
Speaker 3: but maybe I might not be able to make it,

1265
01:10:39,840 --> 01:10:42,680
Speaker 3: but soon is I think a lot of people are

1266
01:10:42,720 --> 01:10:47,120
Speaker 3: offering street medic training now and that those are skills,

1267
01:10:47,120 --> 01:10:49,400
Speaker 3: by the way, you will need literally no matter what

1268
01:10:49,439 --> 01:10:52,400
Speaker 3: happens in life. So consider doing something like that. That's

1269
01:10:52,439 --> 01:10:59,520
Speaker 3: my work of media. A fucking soapbox, ass scold, I apologize.

1270
01:10:59,640 --> 01:11:06,280
Speaker 1: What's a soapbox? G GPTPT what soapbox? Am I doing it? No?

1271
01:11:06,439 --> 01:11:09,439
Speaker 1: You're not? Or do you want to do it? I

1272
01:11:09,600 --> 01:11:12,639
Speaker 1: tell you I don't know. Do you want to? No, Ben,

1273
01:11:12,640 --> 01:11:15,880
Speaker 1: you're not? THANKSPT? Who is on my back? Miles?

1274
01:11:15,880 --> 01:11:17,840
Speaker 9: Where can people find you as they're working media? You've

1275
01:11:17,880 --> 01:11:21,479
Speaker 9: been find me everywhere at miles of gray. Find me

1276
01:11:21,600 --> 01:11:26,439
Speaker 9: asleep during the day, nodding off to sleep, deprivation. You

1277
01:11:26,439 --> 01:11:29,560
Speaker 9: can also find uh, Jack and I on the final.

1278
01:11:29,280 --> 01:11:32,519
Speaker 1: Episodes of Miles and Jack Got Mad Boosties or at

1279
01:11:32,520 --> 01:11:35,120
Speaker 1: this point there will be this this is the penn

1280
01:11:35,160 --> 01:11:38,639
Speaker 1: ultimate episode coming out this week because the finals end

1281
01:11:39,320 --> 01:11:43,120
Speaker 1: we will be saying we'll be beating a jew to

1282
01:11:43,240 --> 01:11:46,920
Speaker 1: Miles and Jack Got Mad Boosties are NBA podcast so

1283
01:11:47,479 --> 01:11:48,960
Speaker 1: for people and they go, oh, that's not in the

1284
01:11:49,000 --> 01:11:52,559
Speaker 1: feed anymore. That's why. Okay, that's why. That's why it was.

1285
01:11:52,600 --> 01:11:57,480
Speaker 1: It was a great run anymore. No hard feelings.

1286
01:11:57,320 --> 01:12:00,000
Speaker 2: It just you know, I think someone just like someone

1287
01:12:00,120 --> 01:12:02,160
Speaker 2: asked AI and maybe they gave the answer.

1288
01:12:02,960 --> 01:12:06,920
Speaker 1: So anyway, a couple of posts I like. One is

1289
01:12:06,920 --> 01:12:10,360
Speaker 1: from at norm Charlatan dot beascot social. It said, fine,

1290
01:12:10,439 --> 01:12:13,120
Speaker 1: I will become the Joe Rogan of the Left. Covers

1291
01:12:13,160 --> 01:12:14,960
Speaker 1: you in millions of bugs while you're locked in a

1292
01:12:15,080 --> 01:12:21,560
Speaker 1: clear plastic Another one m Nate Shamalan dot beskuyd a

1293
01:12:21,680 --> 01:12:24,599
Speaker 1: social buddy, and his wife gave their baby a stupid name,

1294
01:12:24,640 --> 01:12:27,000
Speaker 1: so I've been workshopping cool Star Wars names for him.

1295
01:12:27,000 --> 01:12:29,840
Speaker 2: Instead, he started crying from the other room, and I said,

1296
01:12:30,200 --> 01:12:32,080
Speaker 2: graft chorlow on comms.

1297
01:12:32,640 --> 01:12:36,960
Speaker 1: I have been told this is quote not helpful? Yeah.

1298
01:12:38,520 --> 01:12:41,719
Speaker 2: Oh and then finally at leaving Tara's, that gang member

1299
01:12:41,840 --> 01:12:43,240
Speaker 2: was like, this seems like the kind of thing of

1300
01:12:43,280 --> 01:12:45,280
Speaker 2: sleep deprived dude of a certain age would appreciate.

1301
01:12:45,320 --> 01:12:46,400
Speaker 1: And this is the post.

1302
01:12:46,160 --> 01:12:49,479
Speaker 2: By at Hey, hey there, Jeff row dot beskuytot social

1303
01:12:49,840 --> 01:12:51,160
Speaker 2: cut my frog.

1304
01:12:50,960 --> 01:12:57,080
Speaker 1: In two pieces. This is my labor report. Thanks thanks

1305
01:12:57,080 --> 01:12:58,960
Speaker 1: for that one. Thanks that gang for looking out for

1306
01:12:59,000 --> 01:13:02,200
Speaker 1: your sleep to bride boy. Yeah got him all right.

1307
01:13:02,240 --> 01:13:04,840
Speaker 1: You can find me on Twitter at Jack underscorel Brian

1308
01:13:04,920 --> 01:13:07,559
Speaker 1: on Blue Sky Jack ob be the number one there. Somebody,

1309
01:13:07,600 --> 01:13:11,800
Speaker 1: somebody shared the clip from the latest Final Destination with

1310
01:13:11,920 --> 01:13:14,760
Speaker 1: the guy getting pulled? Is this too much of a

1311
01:13:14,800 --> 01:13:18,320
Speaker 1: spoiler the cat scan thing? Maybe? Maybe I won't, Maybe

1312
01:13:18,360 --> 01:13:18,639
Speaker 1: I won't.

1313
01:13:18,680 --> 01:13:22,200
Speaker 2: I've heard anecdotally every person who's set, every person who's

1314
01:13:22,280 --> 01:13:24,439
Speaker 2: said it has going. Dude, there's a scene where the

1315
01:13:24,479 --> 01:13:26,720
Speaker 2: guy's in a cat scan room and I'm like, oh,

1316
01:13:26,720 --> 01:13:27,560
Speaker 2: he's getting.

1317
01:13:27,320 --> 01:13:31,519
Speaker 1: Like pulled like dick first into like folded over backward

1318
01:13:31,640 --> 01:13:34,600
Speaker 1: into the thing, you know, like his the back of

1319
01:13:34,640 --> 01:13:38,840
Speaker 1: his head is are touching his heels and and like

1320
01:13:38,920 --> 01:13:41,680
Speaker 1: Bechno was twisting you up. Yeah, And at mar the

1321
01:13:41,800 --> 01:13:44,920
Speaker 1: Mortal tweeted this was how Nancy Reagan had Frank Sinatra.

1322
01:13:49,000 --> 01:13:52,800
Speaker 1: I just for some reason I needed that. Oh my god.

1323
01:13:53,439 --> 01:13:56,920
Speaker 1: You can find us on Twitter and Blue Sky at dailies.

1324
01:13:56,960 --> 01:14:00,040
Speaker 1: I guys were at the Daily Gust on Instagram. You

1325
01:14:00,080 --> 01:14:02,240
Speaker 1: can go to the description of the episode wherever you're

1326
01:14:02,240 --> 01:14:04,920
Speaker 1: listening to it, and there you will find the footnotes,

1327
01:14:05,360 --> 01:14:06,920
Speaker 1: which is where we link off to the information that

1328
01:14:06,920 --> 01:14:09,720
Speaker 1: we talked about in today's episode. We also look off

1329
01:14:09,720 --> 01:14:12,320
Speaker 1: to a song that we think you might enjoy. Hey, Miles,

1330
01:14:13,080 --> 01:14:14,719
Speaker 1: is there a song you think people might enjoy?

1331
01:14:15,080 --> 01:14:15,400
Speaker 4: Oh?

1332
01:14:15,520 --> 01:14:19,160
Speaker 2: Yeah, I feel like being a husk has been a

1333
01:14:19,160 --> 01:14:19,839
Speaker 2: theme recently.

1334
01:14:19,880 --> 01:14:22,000
Speaker 1: We all feel like we've just become husks of ourselves

1335
01:14:22,120 --> 01:14:26,400
Speaker 1: or referring referencing people who've seen like husks of themselves.

1336
01:14:26,800 --> 01:14:29,000
Speaker 1: So this track is called Husk by the band ben

1337
01:14:29,160 --> 01:14:31,519
Speaker 1: I Trust. I really like this band. So this is

1338
01:14:32,080 --> 01:14:35,320
Speaker 1: more great like sort of dreamy pop rock vibes from

1339
01:14:35,320 --> 01:14:38,960
Speaker 1: men I United colors of ben I Trust. Oh all right,

1340
01:14:39,560 --> 01:14:41,080
Speaker 1: we will link off to that in the footnotes. And

1341
01:14:41,200 --> 01:14:42,960
Speaker 1: all these kids a production by Heart Radio. For more

1342
01:14:42,960 --> 01:14:46,240
Speaker 1: podcasts from my Heart Radio, visit Yeah Radio app, Apple Podcasts,

1343
01:14:46,360 --> 01:14:47,880
Speaker 1: or wherever you listen to your favorite shows. That is

1344
01:14:47,880 --> 01:14:49,880
Speaker 1: going to do it for us this morning. We are

1345
01:14:50,320 --> 01:14:54,000
Speaker 1: back on Monday, mm hmm to tell you what is trending.

1346
01:14:54,040 --> 01:14:58,160
Speaker 1: We're off for Juneteenth, so take you a short, short

1347
01:14:58,160 --> 01:15:00,960
Speaker 1: week this week. I hope everybody has a good long

1348
01:15:01,000 --> 01:15:04,360
Speaker 1: weekend and we will talk to you on Monday. Hi

1349
01:15:04,640 --> 01:15:08,479
Speaker 1: by The Daily Zeite Guys is executive produced by Catherine Long.

1350
01:15:08,600 --> 01:15:12,559
Speaker 3: Co produced by Bae Wage, co produced by Victor Wright

1351
01:15:12,960 --> 01:15:16,920
Speaker 1: Co written by j M McNab, edited and engineered by

1352
01:15:17,080 --> 01:15:17,719
Speaker 1: Justin Conner.