1
00:00:00,080 --> 00:00:01,599
Speaker 1: Hey guys, Saga and Crystal here.

2
00:00:01,680 --> 00:00:05,240
Speaker 2: Independent media just played a truly massive role in this election,

3
00:00:05,360 --> 00:00:07,840
Speaker 2: and we are so excited about what that means for

4
00:00:07,880 --> 00:00:08,720
Speaker 2: the future of the show.

5
00:00:08,880 --> 00:00:10,760
Speaker 3: This is the only place where you can find honest

6
00:00:10,760 --> 00:00:13,280
Speaker 3: perspectives from the left and the right that simply does

7
00:00:13,320 --> 00:00:14,680
Speaker 3: not exist anywhere else.

8
00:00:14,760 --> 00:00:17,080
Speaker 2: So if that is something that's important to you, please

9
00:00:17,120 --> 00:00:19,599
Speaker 2: go to Breakingpoints dot com. Become a member today and

10
00:00:19,640 --> 00:00:22,800
Speaker 2: you'll get access to our full shows, unedited, ad free,

11
00:00:22,800 --> 00:00:25,600
Speaker 2: and all put together for you every morning in your inbox.

12
00:00:25,680 --> 00:00:27,560
Speaker 3: We need your help to build the future of independent

13
00:00:27,560 --> 00:00:29,920
Speaker 3: news media and we hope to see you at Breakingpoints

14
00:00:29,960 --> 00:00:35,680
Speaker 3: dot com. Good morning, everybody, Happy Tuesday. Have an amazing

15
00:00:35,720 --> 00:00:37,120
Speaker 3: show for everybody today. What do we have Krystal?

16
00:00:37,280 --> 00:00:39,200
Speaker 2: Did we do a lot of interesting topics this morning?

17
00:00:39,280 --> 00:00:41,760
Speaker 2: So the Financial Times is writing that the US is

18
00:00:41,800 --> 00:00:44,680
Speaker 2: now just one big bet on AI, So how is

19
00:00:44,680 --> 00:00:46,920
Speaker 2: that going to go for us? We will evaluate where

20
00:00:46,920 --> 00:00:49,599
Speaker 2: we're at with all of that. Barry Weis has officially

21
00:00:49,640 --> 00:00:52,640
Speaker 2: been installed over at CBS as editor in chief. Will

22
00:00:52,640 --> 00:00:54,800
Speaker 2: take a look at what she is saying and what

23
00:00:55,000 --> 00:00:57,560
Speaker 2: some of the journalists at CBS are feeling about that.

24
00:00:58,640 --> 00:01:01,320
Speaker 2: It sure looks like we are headed to full regime

25
00:01:01,400 --> 00:01:05,440
Speaker 2: change war in Venezuela. Some incredibly troubling reports that aren't

26
00:01:05,440 --> 00:01:08,120
Speaker 2: getting nearly enough attention. We'll dig into all of that.

27
00:01:08,720 --> 00:01:11,880
Speaker 2: Trump is floating. Hey, maybe I will pardon Glaine Maxwell.

28
00:01:12,120 --> 00:01:15,280
Speaker 2: This comes as Supreme Court has declined to hear her appeal,

29
00:01:15,360 --> 00:01:18,080
Speaker 2: So a lot to get to there. Tim Dillon speaking

30
00:01:18,120 --> 00:01:22,080
Speaker 2: out against the National Guard deployments in a variety of cities,

31
00:01:22,080 --> 00:01:25,440
Speaker 2: And I'm taking a look at what exactly happened with

32
00:01:25,520 --> 00:01:29,520
Speaker 2: this shooting. An immigration agent shot shot a Chicago resident.

33
00:01:29,800 --> 00:01:32,800
Speaker 2: The government story is falling apart. There is apparently bodycam

34
00:01:32,840 --> 00:01:37,120
Speaker 2: footage that directly refutes what they were claiming happened. So

35
00:01:37,280 --> 00:01:39,800
Speaker 2: I'm going to do a monologue breaking down everything that

36
00:01:39,840 --> 00:01:41,520
Speaker 2: we know about what transpired there.

37
00:01:41,560 --> 00:01:41,959
Speaker 1: There we go.

38
00:01:42,040 --> 00:01:44,920
Speaker 3: We have, unfortunately to drop the Mark Sanchez story, but

39
00:01:45,000 --> 00:01:46,679
Speaker 3: we will eventually get to it.

40
00:01:46,680 --> 00:01:47,200
Speaker 1: Don't worry.

41
00:01:47,440 --> 00:01:49,560
Speaker 2: We did address it. It was a good plug for

42
00:01:49,600 --> 00:01:50,480
Speaker 2: our premium subs.

43
00:01:50,640 --> 00:01:51,040
Speaker 1: That's true.

44
00:01:51,080 --> 00:01:53,560
Speaker 2: We did address it in the AMA Aster addresses. So

45
00:01:53,600 --> 00:01:55,640
Speaker 2: if you want to hear what Soger thinks about the

46
00:01:55,720 --> 00:01:58,840
Speaker 2: whole Mark Sanchez situation, when which he is slightly obsessed

47
00:01:58,840 --> 00:02:01,520
Speaker 2: with you have to be if I remum subscriber.

48
00:02:01,080 --> 00:02:01,680
Speaker 1: I just can't.

49
00:02:01,760 --> 00:02:03,520
Speaker 3: I can't get enough of it, all right, So thank

50
00:02:03,520 --> 00:02:05,960
Speaker 3: get everybody Breakingpoints dot com. As Crystal said, if we

51
00:02:05,960 --> 00:02:08,160
Speaker 3: want to hear our Mark Sanchez thoughts and much more,

52
00:02:08,200 --> 00:02:10,360
Speaker 3: you can go ahead and sign up for that for

53
00:02:10,440 --> 00:02:12,520
Speaker 3: if you can't afford it, no worries, just please go

54
00:02:12,560 --> 00:02:16,000
Speaker 3: ahead and hit subscribe to this YouTube video. And if

55
00:02:16,040 --> 00:02:18,400
Speaker 3: you are listening to this on a podcast, please send

56
00:02:18,480 --> 00:02:20,600
Speaker 3: your favorite episode to a friend and or rate us

57
00:02:20,639 --> 00:02:21,240
Speaker 3: five stars.

58
00:02:21,440 --> 00:02:23,560
Speaker 1: It really does help other people find the show.

59
00:02:23,680 --> 00:02:25,839
Speaker 2: And one more thing before we jump in, we got

60
00:02:25,840 --> 00:02:28,359
Speaker 2: word from Ryan this morning Alex Colston, that Drop Site

61
00:02:28,440 --> 00:02:31,560
Speaker 2: journalist that was part of the Sammad flotilla, has been

62
00:02:31,639 --> 00:02:35,120
Speaker 2: freed to Jordan, along with most but not all, of

63
00:02:35,160 --> 00:02:37,760
Speaker 2: the American citizens who were on board that boat. So

64
00:02:37,880 --> 00:02:40,440
Speaker 2: glad to hear that he at least is safely out

65
00:02:40,440 --> 00:02:40,920
Speaker 2: of Israel.

66
00:02:40,960 --> 00:02:43,119
Speaker 3: That's right, And hope get Alex on the show soon.

67
00:02:43,200 --> 00:02:45,560
Speaker 3: We'll hear about some of his ordeal and what he

68
00:02:45,600 --> 00:02:47,440
Speaker 3: went through. So let's go ahead and start with AI.

69
00:02:47,520 --> 00:02:49,440
Speaker 3: Let's go and put this up here on the screen.

70
00:02:49,520 --> 00:02:52,240
Speaker 3: I thought this was a fantastic piece. Came out in

71
00:02:52,440 --> 00:02:55,200
Speaker 3: the Financial Times, Rashir CHARMEAI somebody I really respect, And

72
00:02:55,400 --> 00:02:57,519
Speaker 3: what he wrote about here is quote America is now

73
00:02:57,600 --> 00:02:59,799
Speaker 3: one big bet on AI. It is seen as the

74
00:02:59,840 --> 00:03:03,160
Speaker 3: magic fix for every threat to the US economy. And

75
00:03:03,160 --> 00:03:05,239
Speaker 3: I'm going to read what I think are the most

76
00:03:05,320 --> 00:03:06,399
Speaker 3: troubling paragraphs.

77
00:03:06,639 --> 00:03:06,919
Speaker 1: Quote.

78
00:03:07,000 --> 00:03:10,640
Speaker 3: Lately, optimism has become a self fulfilling prophecy. The hundreds

79
00:03:10,680 --> 00:03:13,880
Speaker 3: of billions of dollars investing in AI now account for

80
00:03:13,919 --> 00:03:17,960
Speaker 3: an astonishing forty percent of US GDP growth this year.

81
00:03:18,320 --> 00:03:21,360
Speaker 3: Some analysts believe that estimate does not even fully capture

82
00:03:21,360 --> 00:03:24,960
Speaker 3: AI spend. Real share could be higher. AI companies have

83
00:03:25,000 --> 00:03:29,440
Speaker 3: accounted for eighty percent of gains in US stock so

84
00:03:29,560 --> 00:03:32,480
Speaker 3: far in twenty twenty five. That is helping to fund

85
00:03:32,520 --> 00:03:35,840
Speaker 3: and drive US growth as the AI driven stock market

86
00:03:35,920 --> 00:03:39,000
Speaker 3: draws in money from all over the world and feeds

87
00:03:39,040 --> 00:03:42,120
Speaker 3: a boom in consumer spending by the rich. Since the

88
00:03:42,200 --> 00:03:45,280
Speaker 3: wealthiest ten percent of the population owns eighty five percent

89
00:03:45,280 --> 00:03:48,160
Speaker 3: of stocks, they enjoy the largest wealth effect when they

90
00:03:48,160 --> 00:03:51,760
Speaker 3: go up. Little wonder then, latest data shows American consumer

91
00:03:51,840 --> 00:03:56,120
Speaker 3: economy rests largely on spending by the wealthy. The top

92
00:03:56,200 --> 00:03:59,800
Speaker 3: ten percent of earners account for half of consumer spending,

93
00:04:00,080 --> 00:04:03,360
Speaker 3: the highest share on record since that data began.

94
00:04:03,680 --> 00:04:04,400
Speaker 1: Without all the.

95
00:04:04,360 --> 00:04:07,400
Speaker 3: Excitement around AI, the US economy would be stalling out

96
00:04:07,480 --> 00:04:10,480
Speaker 3: given the multiple threats. I thought that that was such

97
00:04:10,600 --> 00:04:13,920
Speaker 3: an important, just like succinct way of putting it together.

98
00:04:14,640 --> 00:04:17,320
Speaker 3: He says, America has become one big bet on AI.

99
00:04:17,560 --> 00:04:21,279
Speaker 3: Outside of the AI plays, even European stock markets have

100
00:04:21,360 --> 00:04:24,839
Speaker 3: been outperforming the US this decade, and now that gap

101
00:04:24,880 --> 00:04:27,039
Speaker 3: is starting to spread. So far in twenty twenty five,

102
00:04:27,200 --> 00:04:31,800
Speaker 3: every major sector from utilities, industrials, healthcare, and banks has

103
00:04:31,880 --> 00:04:34,520
Speaker 3: fared better in the rest of the world than in

104
00:04:34,600 --> 00:04:37,560
Speaker 3: the US. So Silicon Valley parlance is like in the

105
00:04:37,600 --> 00:04:40,600
Speaker 3: world of bits versus the world of atoms, as in

106
00:04:40,920 --> 00:04:44,360
Speaker 3: something in cyberspace versus the real world. AI is honestly

107
00:04:44,400 --> 00:04:46,000
Speaker 3: a bit of both, right, because you have to make chips,

108
00:04:46,000 --> 00:04:49,520
Speaker 3: you have to brid data centers. But fundamentally the profit

109
00:04:49,760 --> 00:04:53,120
Speaker 3: and everything else is a power law of exponential growth

110
00:04:53,160 --> 00:04:54,440
Speaker 3: for stocks.

111
00:04:53,960 --> 00:04:55,880
Speaker 1: Of a lot of the people who are involved.

112
00:04:55,880 --> 00:04:58,000
Speaker 3: We all know it is not in any way distributed

113
00:04:58,200 --> 00:05:00,880
Speaker 3: across the economy, and I thought that that's up in

114
00:05:00,920 --> 00:05:05,200
Speaker 3: a way that should honestly be terrifying, because something A

115
00:05:05,200 --> 00:05:08,480
Speaker 3: friend of mine recently said to me was, if Trump

116
00:05:08,839 --> 00:05:11,599
Speaker 3: did not have this AI boom, the tariff story would

117
00:05:11,600 --> 00:05:14,760
Speaker 3: be a totally different conversation. I mean, it's still bubbling underneath, right.

118
00:05:14,839 --> 00:05:18,080
Speaker 3: We talked about the farmer yesterday, soybeans. If you work

119
00:05:18,080 --> 00:05:20,600
Speaker 3: in the quote normal economy and all that, of course

120
00:05:20,640 --> 00:05:22,280
Speaker 3: you're gonna feel it. I was just taking a look

121
00:05:22,360 --> 00:05:24,080
Speaker 3: yesterday at the equal weight S and P five hundred

122
00:05:24,160 --> 00:05:25,600
Speaker 3: versus the weighted S and P five hundred.

123
00:05:25,640 --> 00:05:27,279
Speaker 1: It's unweighted. It's crazy.

124
00:05:27,680 --> 00:05:30,680
Speaker 3: If you just take like the equal weight versus you know,

125
00:05:30,720 --> 00:05:33,800
Speaker 3: the Nvidia heavy S and P and all these others,

126
00:05:34,360 --> 00:05:38,560
Speaker 3: the gap and growth is unbelievable. And I think what

127
00:05:38,600 --> 00:05:43,200
Speaker 3: it underscores is the fundamental danger of where we are

128
00:05:43,279 --> 00:05:46,560
Speaker 3: in a variety of ways, from economic policy because it's emboldening.

129
00:05:46,560 --> 00:05:49,240
Speaker 3: Actually Trump on tariffs because he thinks this is tariffs.

130
00:05:49,800 --> 00:05:53,960
Speaker 3: He doesn't understand it's all like data center growth, AI growth,

131
00:05:54,000 --> 00:05:56,520
Speaker 3: Google and everybody kind of spending to the bottom.

132
00:05:56,720 --> 00:05:58,760
Speaker 1: But the second is, and look, I.

133
00:05:58,720 --> 00:06:01,080
Speaker 3: Know, you know, bubble talk is always easy, and you

134
00:06:01,080 --> 00:06:03,000
Speaker 3: can nobody knows when.

135
00:06:02,800 --> 00:06:03,240
Speaker 1: To call it.

136
00:06:03,520 --> 00:06:05,680
Speaker 3: But at the very at the very least, even if

137
00:06:05,720 --> 00:06:07,160
Speaker 3: it's not a bubble or any of that. This is

138
00:06:07,240 --> 00:06:10,760
Speaker 3: a huge risk, like any portfolio. If the US GDP

139
00:06:10,920 --> 00:06:13,520
Speaker 3: is a portfolio, to say that forty percent of your

140
00:06:13,520 --> 00:06:17,000
Speaker 3: growth comes from a single sector, from not even just technology,

141
00:06:17,000 --> 00:06:19,719
Speaker 3: from a single sector of that sector, you should be

142
00:06:19,920 --> 00:06:22,640
Speaker 3: very afraid. And when eighty percent of the gains which

143
00:06:22,680 --> 00:06:24,839
Speaker 3: all of us rely on, it'll say, if you're in retirement,

144
00:06:24,839 --> 00:06:27,039
Speaker 3: you're four oh one k. That number's got to go up.

145
00:06:27,080 --> 00:06:29,280
Speaker 3: And it's only going up from one place, which means

146
00:06:29,279 --> 00:06:31,400
Speaker 3: it can go down from one place to a single

147
00:06:31,800 --> 00:06:35,000
Speaker 3: you know, we talked about deepseek style yesterday, dot com

148
00:06:35,200 --> 00:06:38,159
Speaker 3: anything like that two thousand and seven. I mean we

149
00:06:38,200 --> 00:06:41,039
Speaker 3: all remember, right, it can go south very quickly, and

150
00:06:41,080 --> 00:06:42,920
Speaker 3: then it can go south for a long time.

151
00:06:43,160 --> 00:06:43,640
Speaker 1: And I can.

152
00:06:43,560 --> 00:06:46,039
Speaker 3: Guarantee you while the gains may only go to the

153
00:06:46,040 --> 00:06:48,520
Speaker 3: top ten percent, that the losses will go to one

154
00:06:48,600 --> 00:06:49,440
Speaker 3: hundred works.

155
00:06:49,640 --> 00:06:50,240
Speaker 1: That's the way it is.

156
00:06:50,320 --> 00:06:52,240
Speaker 2: The way that works well. And it feels like we're

157
00:06:52,279 --> 00:06:54,680
Speaker 2: sort of like damned if it works out well, and

158
00:06:54,760 --> 00:06:57,440
Speaker 2: damned if it doesn't work out So obviously if it

159
00:06:57,680 --> 00:07:00,320
Speaker 2: ends up just to be like sort of worthless aislop

160
00:07:00,400 --> 00:07:03,080
Speaker 2: and the you know, all the grand vision of what

161
00:07:03,200 --> 00:07:05,680
Speaker 2: AI could be doesn't come to fruition, then you're going

162
00:07:05,760 --> 00:07:08,960
Speaker 2: to have this massive crash our economy. Like the perception

163
00:07:09,080 --> 00:07:12,160
Speaker 2: of our economy is so tied up with these dramatic

164
00:07:12,200 --> 00:07:15,760
Speaker 2: stock market gains, you know, divorced from the reality of

165
00:07:15,880 --> 00:07:19,680
Speaker 2: the real economy that impacts most people day to day,

166
00:07:20,080 --> 00:07:23,400
Speaker 2: that that collapse would be absolutely devastating and, like you said,

167
00:07:23,480 --> 00:07:26,960
Speaker 2: would have massive effects for everybody, whether you're heavily invested

168
00:07:26,960 --> 00:07:29,360
Speaker 2: in the stock market or not. If the promise of

169
00:07:29,400 --> 00:07:32,560
Speaker 2: AI does come to fruition, uh, well, then you've got

170
00:07:32,760 --> 00:07:36,800
Speaker 2: mass job loss and a need to completely rewrite the

171
00:07:36,880 --> 00:07:39,440
Speaker 2: social contract. So that seems like you know, do you

172
00:07:39,480 --> 00:07:41,280
Speaker 2: guys feel like the country is in a place where

173
00:07:41,320 --> 00:07:43,720
Speaker 2: we could all get together and have a unifying discussion

174
00:07:43,760 --> 00:07:46,160
Speaker 2: about what a new social contract might look like, because

175
00:07:46,360 --> 00:07:48,520
Speaker 2: I shouldn't feel like we're living in that country. So

176
00:07:48,880 --> 00:07:52,960
Speaker 2: that's why the landscape is so incredibly terrifying. And you know,

177
00:07:53,240 --> 00:07:57,520
Speaker 2: I just I feel like there is such this has

178
00:07:57,600 --> 00:08:01,640
Speaker 2: been so invisibilized. It's something that's ubling below the surface,

179
00:08:02,280 --> 00:08:04,920
Speaker 2: but there is so little attention being paid by the

180
00:08:05,040 --> 00:08:10,640
Speaker 2: media to this incredibly massive, looming potential problem. And our

181
00:08:10,800 --> 00:08:13,080
Speaker 2: economy when they say that it's just one big bet

182
00:08:13,160 --> 00:08:16,240
Speaker 2: on AI, Like policymakers are just sort of like using

183
00:08:16,360 --> 00:08:18,480
Speaker 2: AI as a bucket catch all for any sort of

184
00:08:18,560 --> 00:08:20,200
Speaker 2: problem that they see in the economy. So if they're

185
00:08:20,200 --> 00:08:22,040
Speaker 2: worried about the debt and the depth of oh, you know,

186
00:08:22,160 --> 00:08:24,720
Speaker 2: once we get AI, like that's going to reduce costs,

187
00:08:24,720 --> 00:08:26,680
Speaker 2: we're going to be able to figure it out. Or

188
00:08:26,800 --> 00:08:29,320
Speaker 2: if they're worried about sticky inflation, so well, AI is

189
00:08:29,360 --> 00:08:31,680
Speaker 2: going to increase productivity, so we don't have to worry

190
00:08:31,720 --> 00:08:35,280
Speaker 2: about that. Every problem. We're falling behind in terms of

191
00:08:35,440 --> 00:08:37,760
Speaker 2: like research and development, we're not what we used to

192
00:08:37,800 --> 00:08:40,760
Speaker 2: be in terms of being the technological juggernaut' AI. I'll

193
00:08:40,800 --> 00:08:44,000
Speaker 2: fix that as well. Like, it's this incredible wish casting

194
00:08:44,440 --> 00:08:47,920
Speaker 2: placed on this technology which is unproven at this point

195
00:08:48,000 --> 00:08:51,040
Speaker 2: at best, and which has not demonstrated, you know, the

196
00:08:51,120 --> 00:08:54,160
Speaker 2: basic ability even to be profitable at any of these companies.

197
00:08:54,200 --> 00:08:56,439
Speaker 3: What also scares me is if I take a look

198
00:08:56,480 --> 00:08:58,880
Speaker 3: at that piece and I say that every sector from

199
00:08:59,000 --> 00:09:01,559
Speaker 3: utility to industrial, healthcareacter banks is faring in the rest

200
00:09:01,559 --> 00:09:03,400
Speaker 3: of the world in the US, what happens if we

201
00:09:03,440 --> 00:09:04,600
Speaker 3: get into a serious war.

202
00:09:04,720 --> 00:09:07,800
Speaker 1: Look at Russia. You think they have AI in Russia.

203
00:09:08,160 --> 00:09:11,440
Speaker 3: Oh yeah, you know what, they have defense, industrial base,

204
00:09:11,800 --> 00:09:15,120
Speaker 3: a shitload of oil. That's what matters. That's the actual

205
00:09:15,200 --> 00:09:17,480
Speaker 3: thing that matters. That's how you have GDP growth even

206
00:09:17,520 --> 00:09:19,559
Speaker 3: when the entire world is going to cut you off.

207
00:09:19,600 --> 00:09:22,280
Speaker 3: I mean, yes, China has an AI sector. They still

208
00:09:22,360 --> 00:09:26,559
Speaker 3: have an unbelievable industrial sector, so many different potentials that

209
00:09:26,640 --> 00:09:28,760
Speaker 3: are coming out in the world in the real world.

210
00:09:28,960 --> 00:09:33,200
Speaker 3: That's actually manufacturing, building products on top of financialization, which

211
00:09:33,360 --> 00:09:35,840
Speaker 3: if you read about how they conceive of the economy,

212
00:09:36,160 --> 00:09:39,520
Speaker 3: they think that compounding stock growth is bad for the

213
00:09:39,600 --> 00:09:41,959
Speaker 3: elite and divorces you from the real world. This is

214
00:09:42,040 --> 00:09:44,840
Speaker 3: a direct line from Shishngping. He said, Hey, stocks, they

215
00:09:44,840 --> 00:09:46,559
Speaker 3: don't need to grow that much. We're not into that.

216
00:09:46,720 --> 00:09:48,439
Speaker 3: We're into the world of the real that's what we

217
00:09:48,559 --> 00:09:51,079
Speaker 3: focus on and that's how we got here. This is

218
00:09:52,360 --> 00:09:56,160
Speaker 3: this is very very scary stuff. Also, we talked yes

219
00:09:56,600 --> 00:09:59,520
Speaker 3: a few days ago, that was with Ryan Derek Thompson

220
00:09:59,559 --> 00:10:02,760
Speaker 3: shout Out, did a fantastic interview, and what he said

221
00:10:02,840 --> 00:10:05,679
Speaker 3: actually is that because the only growth right now in

222
00:10:05,760 --> 00:10:08,199
Speaker 3: the US economy is coming from AI, it means that

223
00:10:08,360 --> 00:10:11,199
Speaker 3: all private investment is flowing in that direction, which is

224
00:10:11,320 --> 00:10:13,800
Speaker 3: directly then at the it's zero sum game, right, there's

225
00:10:13,800 --> 00:10:15,480
Speaker 3: only a certain amount of money. Well, that amount of

226
00:10:15,480 --> 00:10:17,240
Speaker 3: money isn't going to go where to the AI where

227
00:10:17,280 --> 00:10:19,880
Speaker 3: the most compounding effect. So that means that let's say

228
00:10:19,880 --> 00:10:22,800
Speaker 3: you're a private equity giant or something on VC anything,

229
00:10:23,000 --> 00:10:24,600
Speaker 3: what you're going to invest in is where you're going

230
00:10:24,640 --> 00:10:26,520
Speaker 3: to get the most return on your capital. Of course

231
00:10:26,600 --> 00:10:29,480
Speaker 3: that's your job. Well that also means though that some

232
00:10:29,679 --> 00:10:33,000
Speaker 3: guy who's running a construction firm, let's say he's built

233
00:10:33,000 --> 00:10:34,559
Speaker 3: it to one hundred million dollar company, he wants to

234
00:10:34,559 --> 00:10:37,120
Speaker 3: take it to a two billion dollar company. Nobody's investing

235
00:10:37,120 --> 00:10:38,679
Speaker 3: in that because the margins are not going to be

236
00:10:38,760 --> 00:10:40,520
Speaker 3: the same as some data center stuff.

237
00:10:40,840 --> 00:10:42,959
Speaker 1: I was reading this morning. Let's go ahead and put

238
00:10:43,200 --> 00:10:46,480
Speaker 1: a three please up on the screen. This open AIAMD deal.

239
00:10:46,760 --> 00:10:48,880
Speaker 3: So I was reading about this all right, So what

240
00:10:49,040 --> 00:10:52,600
Speaker 3: happens is is open Ai and AMD have now quote

241
00:10:52,600 --> 00:10:56,360
Speaker 3: announced a massive computing deal new phase of the AI boom.

242
00:10:56,640 --> 00:10:59,679
Speaker 3: The five year agreement will challenge Nvidia's market dominance and

243
00:10:59,720 --> 00:11:02,640
Speaker 3: gives open Ai ten percent of AMD if it hits

244
00:11:02,720 --> 00:11:05,880
Speaker 3: milestones for chip deployment. So the way that this is

245
00:11:05,960 --> 00:11:10,319
Speaker 3: structured though, is so crazy. So basically what happened is

246
00:11:10,600 --> 00:11:13,679
Speaker 3: AMD was like, hey you open. AI was like, we

247
00:11:13,720 --> 00:11:16,440
Speaker 3: want x amount of chips. AMD goes, cool, give us

248
00:11:16,480 --> 00:11:18,920
Speaker 3: seventy eight billion dollars and they say, well, how would

249
00:11:18,960 --> 00:11:20,640
Speaker 3: you like to pay. I'm reading this from Matt Levine.

250
00:11:20,720 --> 00:11:22,640
Speaker 3: He kind of writes up a script. Well, we were

251
00:11:22,679 --> 00:11:24,839
Speaker 3: thinking we would announce a deal and that will just

252
00:11:24,920 --> 00:11:27,360
Speaker 3: add seventy eight billion to the value of your company.

253
00:11:27,559 --> 00:11:29,679
Speaker 1: That should cover it. And am D is like, oh,

254
00:11:29,920 --> 00:11:30,120
Speaker 1: you know.

255
00:11:30,520 --> 00:11:32,360
Speaker 3: They go you still have to pay, and they go

256
00:11:32,480 --> 00:11:35,480
Speaker 3: why And they go, okay, why don't we pay you

257
00:11:35,640 --> 00:11:37,880
Speaker 3: cash for the value of the chips, and then you

258
00:11:38,000 --> 00:11:40,000
Speaker 3: have to give us that back in stock, and then

259
00:11:40,040 --> 00:11:41,960
Speaker 3: when we announced the deal, the stock will go up

260
00:11:42,240 --> 00:11:43,920
Speaker 3: and we'll get our seventy eight billion back.

261
00:11:44,160 --> 00:11:45,360
Speaker 1: AMD goes yeah.

262
00:11:45,200 --> 00:11:48,120
Speaker 3: Sure, let's do that, and so basically what happened is

263
00:11:48,400 --> 00:11:52,120
Speaker 3: they gave them stock worth thirty five billion dollars. They

264
00:11:52,200 --> 00:11:54,640
Speaker 3: took some cash, but then the value of the stock

265
00:11:54,760 --> 00:11:57,719
Speaker 3: increased so much it basically covered the cost of the

266
00:11:57,800 --> 00:12:00,840
Speaker 3: cash that was put in. So it's a complete circular game.

267
00:12:01,160 --> 00:12:03,280
Speaker 3: And they just did this with Nvidia. I watched the

268
00:12:03,320 --> 00:12:04,840
Speaker 3: same thing happen where and video is.

269
00:12:04,800 --> 00:12:06,120
Speaker 1: Like, where's been one hundred and fifty billion?

270
00:12:06,200 --> 00:12:07,679
Speaker 3: And then this value of the stock goes more than

271
00:12:07,679 --> 00:12:10,440
Speaker 3: one hundred and fifty billion? Where is the reality? Where's

272
00:12:10,440 --> 00:12:12,920
Speaker 3: the cat? Does this have anything to do with cash flow? No,

273
00:12:13,240 --> 00:12:16,880
Speaker 3: it's just literally all expectations. And that's what's really scary

274
00:12:16,920 --> 00:12:19,120
Speaker 3: about it. So put a two up on the screen

275
00:12:19,400 --> 00:12:21,679
Speaker 3: just to underscore what you were talking about. There's a

276
00:12:21,760 --> 00:12:25,160
Speaker 3: new Senate Democratic report they said AI could erase some quote,

277
00:12:25,240 --> 00:12:29,200
Speaker 3: one hundred million US jobs, eighty nine percent of fast food,

278
00:12:29,240 --> 00:12:31,880
Speaker 3: sixty four percent of accounting, forty seven percent of trucking

279
00:12:32,160 --> 00:12:34,520
Speaker 3: all over the next ten years. Keep in mind, trucking

280
00:12:35,240 --> 00:12:37,040
Speaker 3: in particular is what worries me because it's like one

281
00:12:37,040 --> 00:12:40,160
Speaker 3: of the best ways for people who don't have anything

282
00:12:40,200 --> 00:12:42,079
Speaker 3: more than a high school diploma to actually make some

283
00:12:42,160 --> 00:12:44,840
Speaker 3: six figure income. And it's one of those where look,

284
00:12:44,880 --> 00:12:46,240
Speaker 3: you know, I'm not a ludd ite. I'm not saying

285
00:12:46,280 --> 00:12:49,160
Speaker 3: that all automation or anything is bad, but you obviously

286
00:12:49,280 --> 00:12:51,760
Speaker 3: need to think about the disruptive effect of your economy.

287
00:12:51,840 --> 00:12:54,760
Speaker 3: The promise is always, oh, well, that'll create so much

288
00:12:54,920 --> 00:12:57,719
Speaker 3: wealth that it'll they'll figure out something else. Oh, we

289
00:12:57,880 --> 00:13:00,600
Speaker 3: used to have you know, people before the alarm clock.

290
00:13:00,640 --> 00:13:04,360
Speaker 3: People would come and throw something at your windows.

291
00:13:05,200 --> 00:13:06,080
Speaker 1: You guys think I'm joking.

292
00:13:06,160 --> 00:13:08,760
Speaker 3: These are the actual things the libertarians say, and they're

293
00:13:08,760 --> 00:13:10,880
Speaker 3: not like wrong in a sense, but I'm like, yeah,

294
00:13:10,880 --> 00:13:12,439
Speaker 3: I don't know, it seems a little different, you know,

295
00:13:12,880 --> 00:13:14,480
Speaker 3: it just seems a little bit different. And they're like, well,

296
00:13:14,480 --> 00:13:16,080
Speaker 3: we used to have horse keepers when we all went

297
00:13:16,120 --> 00:13:18,959
Speaker 3: around in ponies, but then the car opened up America.

298
00:13:18,960 --> 00:13:21,320
Speaker 3: I'm like, just doesn't seem it doesn't seem the same.

299
00:13:21,400 --> 00:13:21,760
Speaker 1: That's just me.

300
00:13:21,920 --> 00:13:22,160
Speaker 4: That's me.

301
00:13:22,360 --> 00:13:25,120
Speaker 1: You can you can decide whether you it is one

302
00:13:25,160 --> 00:13:25,400
Speaker 1: to one.

303
00:13:25,720 --> 00:13:28,360
Speaker 2: Just to hold on that, because this is an argument

304
00:13:28,400 --> 00:13:30,800
Speaker 2: that people genuinely make, and it's you know, it's a

305
00:13:30,800 --> 00:13:32,920
Speaker 2: reasonable one. You look at like the past and you're like, oh,

306
00:13:33,000 --> 00:13:35,719
Speaker 2: there were all these concerns about the industrial revolution and

307
00:13:35,840 --> 00:13:38,920
Speaker 2: all these concerns about you know, about the car, the

308
00:13:38,960 --> 00:13:42,199
Speaker 2: automobile and all this you know, technological displacement in the past,

309
00:13:42,440 --> 00:13:43,959
Speaker 2: and it ended up that there was a period of

310
00:13:44,000 --> 00:13:46,200
Speaker 2: transition and then there were new jobs that were opened

311
00:13:46,280 --> 00:13:48,280
Speaker 2: up and it was all okay, So it's gonna we're

312
00:13:48,320 --> 00:13:50,199
Speaker 2: gonna project from the past to the future and say

313
00:13:50,200 --> 00:13:52,760
Speaker 2: it's all gonna be okay. One of the things that

314
00:13:52,960 --> 00:13:55,480
Speaker 2: is different is like if we just use the example

315
00:13:55,559 --> 00:13:59,680
Speaker 2: of the automobile, well, the automobile was replacing horses. AI

316
00:13:59,840 --> 00:14:03,360
Speaker 2: is to replace humans. That's what's different. Like, this is

317
00:14:03,440 --> 00:14:07,840
Speaker 2: not a technology to supplement human labor, buy and large.

318
00:14:08,160 --> 00:14:11,480
Speaker 2: This if you listen to what the creators themselves say,

319
00:14:12,280 --> 00:14:14,959
Speaker 2: this is a tech that is meant to replace you

320
00:14:16,000 --> 00:14:17,400
Speaker 2: just go out and look at I mean, just as

321
00:14:17,440 --> 00:14:22,120
Speaker 2: one like you know, example here apocryphal example, potentially this

322
00:14:22,280 --> 00:14:26,320
Speaker 2: AI actress who you know, they design this like teen

323
00:14:26,480 --> 00:14:30,600
Speaker 2: girl AI actress that apparently has agents lining up to

324
00:14:30,840 --> 00:14:32,840
Speaker 2: you know, to work with her in major studios or

325
00:14:32,920 --> 00:14:36,920
Speaker 2: interested in or whatever. Like for capitalists, if you don't

326
00:14:37,000 --> 00:14:39,280
Speaker 2: have someone who's going to complain and has to go

327
00:14:39,320 --> 00:14:41,200
Speaker 2: to the bathroom and is going to get sick and

328
00:14:41,360 --> 00:14:42,920
Speaker 2: going to have kids and have to deal with their

329
00:14:43,000 --> 00:14:46,720
Speaker 2: kids and going to unionize or whatever, like not having

330
00:14:46,760 --> 00:14:48,640
Speaker 2: to deal with that, they're like, yes, great, like that

331
00:14:48,960 --> 00:14:52,920
Speaker 2: is their goal. And that's what makes the potential job

332
00:14:53,000 --> 00:14:57,600
Speaker 2: displacement here, I think so much different than what we've

333
00:14:57,680 --> 00:14:59,880
Speaker 2: seen in the past, and why you should take very

334
00:15:00,120 --> 00:15:04,000
Speaker 2: seriously these sorts of numbers about the number of jobs

335
00:15:04,280 --> 00:15:07,760
Speaker 2: that AI could displace. And again, so you know, that's

336
00:15:08,000 --> 00:15:11,120
Speaker 2: if things go quote unquote well and AI lives up

337
00:15:11,160 --> 00:15:13,400
Speaker 2: to its promise. If it doesn't live up to its promise,

338
00:15:13,400 --> 00:15:16,080
Speaker 2: then we have this gigantic bubble and all of these

339
00:15:16,920 --> 00:15:20,360
Speaker 2: billions probably trillions of dollars that have been speculated on

340
00:15:20,560 --> 00:15:23,360
Speaker 2: AI that is going to you know, lead to some

341
00:15:23,480 --> 00:15:27,280
Speaker 2: sort of a collapse. So it's such an incredibly perilous situation, right,

342
00:15:27,360 --> 00:15:29,560
Speaker 2: and that's before we even get to like, you know,

343
00:15:29,640 --> 00:15:35,800
Speaker 2: the immediate resource taxation of AI development. There's this article

344
00:15:35,880 --> 00:15:39,080
Speaker 2: in the Wall Street Journal about Elon Musk's development outside

345
00:15:39,120 --> 00:15:41,520
Speaker 2: of Memphis. We can put a three up on the

346
00:15:41,600 --> 00:15:45,320
Speaker 2: screen here, and you know this. Of course, they locate

347
00:15:45,400 --> 00:15:48,520
Speaker 2: this gigantic data center. I think this is the one

348
00:15:48,560 --> 00:15:51,480
Speaker 2: that calls like the Colossal Yeah, the Colossus two data center,

349
00:15:51,880 --> 00:15:54,600
Speaker 2: of course, is located very close to these poor black

350
00:15:54,680 --> 00:15:59,200
Speaker 2: communities in Memphis. The residents there have complained about the noise.

351
00:15:59,240 --> 00:16:02,360
Speaker 2: They've complained they feel that there are toxins that in

352
00:16:02,480 --> 00:16:05,240
Speaker 2: the air since this thing started to go up, and

353
00:16:05,600 --> 00:16:08,240
Speaker 2: you have reports across the country. This is actually something

354
00:16:08,280 --> 00:16:11,320
Speaker 2: I'm worried about of wells going dry because the AI

355
00:16:11,480 --> 00:16:14,360
Speaker 2: centers use so much water. Of course, we've been really

356
00:16:14,440 --> 00:16:17,560
Speaker 2: trying to focus here on the way that electricity prices

357
00:16:17,640 --> 00:16:20,560
Speaker 2: are already going up. In our home state of Virginia,

358
00:16:20,920 --> 00:16:25,800
Speaker 2: forty percent of energy generation already going to AI data centers.

359
00:16:26,040 --> 00:16:29,240
Speaker 2: In North Carolina, they're passing they pass legislation to pass

360
00:16:29,320 --> 00:16:33,880
Speaker 2: some of the costs from AI data center electricity onto consumers,

361
00:16:34,040 --> 00:16:36,120
Speaker 2: so that you are bearing the cost for this, even

362
00:16:36,160 --> 00:16:39,640
Speaker 2: though you may not want it whatsoever. So you know,

363
00:16:39,800 --> 00:16:43,360
Speaker 2: the resource drain here entailed in these things is just

364
00:16:43,560 --> 00:16:45,760
Speaker 2: like you can't even wrap your head around it. The

365
00:16:45,880 --> 00:16:49,320
Speaker 2: amount of electricity that these things require is equivalent to

366
00:16:49,480 --> 00:16:52,240
Speaker 2: like large cities. It's absolutely insane.

367
00:16:52,320 --> 00:16:53,280
Speaker 1: Let me just underscore that.

368
00:16:53,400 --> 00:16:56,920
Speaker 3: Yeah, labor crews hired by must XAI were excavating power

369
00:16:56,960 --> 00:17:00,320
Speaker 3: equipment on site preparing to build a new plant of

370
00:17:00,440 --> 00:17:03,440
Speaker 3: generating over a gigawatt of electricity, which was enough to

371
00:17:03,560 --> 00:17:06,480
Speaker 3: power eight hundred thousand homes. But that just shows you

372
00:17:06,600 --> 00:17:10,080
Speaker 3: that you're going to need enough power for eight hundred

373
00:17:10,160 --> 00:17:13,600
Speaker 3: thousands in the city of Memphis. Yeah, and that's how

374
00:17:13,680 --> 00:17:16,399
Speaker 3: much that they're already planning before they even have to

375
00:17:16,480 --> 00:17:19,920
Speaker 3: draw from the grid. I actually think that types of

376
00:17:20,400 --> 00:17:24,280
Speaker 3: investment like this need to be a municipal demand. So

377
00:17:24,400 --> 00:17:26,959
Speaker 3: this is where I've gotten a lot of pushback from

378
00:17:27,000 --> 00:17:29,000
Speaker 3: a lot of these AI people who are like, you

379
00:17:29,040 --> 00:17:32,760
Speaker 3: shouldn't be advocating for censorship on the grid, you should

380
00:17:32,760 --> 00:17:35,040
Speaker 3: be advocating for more power. I'm like, where have you been, bro,

381
00:17:35,240 --> 00:17:37,040
Speaker 3: I'm the biggest nuclear guy that there is.

382
00:17:37,160 --> 00:17:38,159
Speaker 1: Shut you know, shut up.

383
00:17:39,160 --> 00:17:42,160
Speaker 3: But if that's the case, then you people, if you're

384
00:17:42,200 --> 00:17:44,720
Speaker 3: going to make all this money, then you need to

385
00:17:44,960 --> 00:17:48,959
Speaker 3: invest massively in it should be a municipal demand. If

386
00:17:49,000 --> 00:17:51,800
Speaker 3: you come in, Poe's your power projection, You're building a

387
00:17:51,840 --> 00:17:53,960
Speaker 3: power plan that is going to at the very least

388
00:17:54,000 --> 00:17:55,600
Speaker 3: take care of some seventy five to eighty percent of

389
00:17:55,680 --> 00:17:57,680
Speaker 3: that And so there's going to be some sort of

390
00:17:57,760 --> 00:18:00,760
Speaker 3: tax levied to make sure that all of this extra

391
00:18:00,840 --> 00:18:04,119
Speaker 3: electricity that you're demanding is going into let's say, nuclear

392
00:18:04,240 --> 00:18:06,800
Speaker 3: energy project whatever, more oil and gas. I don't care

393
00:18:06,800 --> 00:18:08,520
Speaker 3: where it comes from. It just needs to make sure

394
00:18:08,640 --> 00:18:10,440
Speaker 3: that it's not being offset on the consumer. Because the

395
00:18:10,520 --> 00:18:13,720
Speaker 3: alternative is that right now they're you know, pretending to

396
00:18:13,840 --> 00:18:16,080
Speaker 3: invest in some of this power generation. But as we

397
00:18:16,119 --> 00:18:19,040
Speaker 3: all know, guys, power projects take years to come online.

398
00:18:19,280 --> 00:18:21,199
Speaker 3: It takes them six seven years to make a new

399
00:18:21,280 --> 00:18:23,879
Speaker 3: nuclear reactor site. That's even if you get the permits,

400
00:18:23,880 --> 00:18:26,760
Speaker 3: which none of them have ever materialized. More recently, so

401
00:18:26,920 --> 00:18:29,360
Speaker 3: in the interim, what's going to happen? I have read

402
00:18:29,400 --> 00:18:32,520
Speaker 3: that in some municipalities there is an increased data center

403
00:18:32,640 --> 00:18:36,439
Speaker 3: specific two hundred and sixty seven percent electricity bill to people,

404
00:18:36,640 --> 00:18:39,560
Speaker 3: to consumers two one hundred and sixty seven percent. If

405
00:18:39,600 --> 00:18:41,639
Speaker 3: you're on a fixed income or if you are a

406
00:18:41,720 --> 00:18:45,679
Speaker 3: suburban household, that is devastating to your monthly nut.

407
00:18:45,880 --> 00:18:47,040
Speaker 1: I mean, just think about that.

408
00:18:47,160 --> 00:18:49,000
Speaker 3: It's like gas price, for example, if there was a

409
00:18:49,000 --> 00:18:51,160
Speaker 3: two hundred and sixty seven percent increase.

410
00:18:50,840 --> 00:18:51,800
Speaker 1: There, you have to pay it.

411
00:18:52,080 --> 00:18:54,000
Speaker 3: I mean, you know, you can only cut so much

412
00:18:54,359 --> 00:18:56,199
Speaker 3: whenever it comes to you know, turning the lights off

413
00:18:56,280 --> 00:18:57,520
Speaker 3: or any of that. That's not going to do very

414
00:18:57,560 --> 00:18:59,840
Speaker 3: much when you have such a massive increase. That is

415
00:18:59,840 --> 00:19:03,200
Speaker 3: what worries me the most. And actually the politically things

416
00:19:03,240 --> 00:19:06,080
Speaker 3: are going in the opposite direction, where in fact, the

417
00:19:06,160 --> 00:19:10,000
Speaker 3: state legislators are all getting paid off by Amazon and

418
00:19:10,200 --> 00:19:12,919
Speaker 3: Google and all these other people and video and they're like, Oh,

419
00:19:13,000 --> 00:19:15,359
Speaker 3: it's going to create you know, ten thousand new jobs.

420
00:19:15,400 --> 00:19:18,040
Speaker 1: I'm like, yeah, construction jobs in the interim. Great.

421
00:19:18,320 --> 00:19:21,440
Speaker 3: I don't bemoan that. I think it's fine. But how

422
00:19:21,600 --> 00:19:23,760
Speaker 3: is that going to roll into the rest of the economy.

423
00:19:23,800 --> 00:19:25,440
Speaker 3: What are those types of jobs? Are they actually gonna

424
00:19:25,440 --> 00:19:27,360
Speaker 3: be distributed? Because it seems to me that the absolute

425
00:19:27,400 --> 00:19:30,280
Speaker 3: vast majority of the profit keeps rolling up to the Oracles,

426
00:19:30,320 --> 00:19:32,560
Speaker 3: to the Larry Allisons, to the Elon Musk, to Amazon

427
00:19:32,840 --> 00:19:34,680
Speaker 3: and to all these other folks, and we don't see

428
00:19:35,119 --> 00:19:37,879
Speaker 3: how any of this is actually materializing yet in the

429
00:19:37,960 --> 00:19:40,200
Speaker 3: real world. Let's put a four up on the screen

430
00:19:40,480 --> 00:19:43,359
Speaker 3: if you want to know where money sees opportunity. What

431
00:19:43,480 --> 00:19:46,040
Speaker 3: was I talking about earlier? Blackrock is on the verge

432
00:19:46,080 --> 00:19:49,720
Speaker 3: of buying quote aligned data centers, a massive data center

433
00:19:49,840 --> 00:19:55,280
Speaker 3: construction company, a deal valued at some forty billion dollars.

434
00:19:55,560 --> 00:19:58,119
Speaker 3: That is the value prop that they see in just

435
00:19:58,320 --> 00:20:02,320
Speaker 3: data center construction. Blackrock owns it. That means the money

436
00:20:02,440 --> 00:20:05,240
Speaker 3: is not going to you, it's going to private investors.

437
00:20:05,440 --> 00:20:07,280
Speaker 3: Let's go to the next part here, and this is

438
00:20:07,320 --> 00:20:10,639
Speaker 3: about the Minnesota public Utilities Commission that has voted to

439
00:20:10,720 --> 00:20:14,880
Speaker 3: let Blackrock buy a company that actually runs Minnesota Power.

440
00:20:15,040 --> 00:20:17,840
Speaker 3: More Perfect Union did a segment on it. Let's take

441
00:20:17,840 --> 00:20:18,200
Speaker 3: a listen.

442
00:20:18,480 --> 00:20:21,480
Speaker 5: Blackrock bok Global Infrastructure Partners, which is a big investment

443
00:20:21,520 --> 00:20:24,120
Speaker 5: fund that itself buys up things like water and waste systems,

444
00:20:24,160 --> 00:20:28,320
Speaker 5: transportation companies, and even large shares of entire airports. If

445
00:20:28,359 --> 00:20:31,040
Speaker 5: you've flown in or out of London, congratulations, you're probably

446
00:20:31,080 --> 00:20:35,000
Speaker 5: a customer of GIP. So Blackrock owns Global Infrastructure Partners,

447
00:20:35,160 --> 00:20:38,040
Speaker 5: which is trying to buy Elite, which owns Minnesota Power,

448
00:20:38,200 --> 00:20:41,160
Speaker 5: which owns infrastructure like power plants, dams, and the land

449
00:20:41,200 --> 00:20:44,200
Speaker 5: they're on. Usually when private equity and asset managers buy stuff,

450
00:20:44,240 --> 00:20:46,720
Speaker 5: they just do it behind closed doors. But because people

451
00:20:46,760 --> 00:20:49,800
Speaker 5: would literally die without power, it's considered a critical service

452
00:20:49,920 --> 00:20:52,720
Speaker 5: and therefore a regulated monopoly under Minnesota.

453
00:20:52,359 --> 00:20:56,760
Speaker 6: Law, Blackrock doesn't necessarily have the same amount of reporting

454
00:20:56,960 --> 00:21:01,840
Speaker 6: responsibilities as a publicly traded corporation. We've had a lack

455
00:21:01,920 --> 00:21:06,879
Speaker 6: of transparency already regarding our rates and the quality of

456
00:21:07,000 --> 00:21:10,639
Speaker 6: services in our community in superior. That ability to access

457
00:21:10,680 --> 00:21:12,960
Speaker 6: that data would be decreased by the purchase, which would

458
00:21:12,960 --> 00:21:13,720
Speaker 6: be a huge problem.

459
00:21:14,240 --> 00:21:16,280
Speaker 5: The community has made it clear that they opposed the deal,

460
00:21:16,359 --> 00:21:18,800
Speaker 5: and a judge has already recommended against it. But it

461
00:21:18,880 --> 00:21:21,119
Speaker 5: doesn't end there. The final approval is going to come

462
00:21:21,160 --> 00:21:23,280
Speaker 5: from the Public Utility Commission, a board made up of

463
00:21:23,400 --> 00:21:26,200
Speaker 5: just five people appointed by the governor. This could have

464
00:21:26,359 --> 00:21:29,720
Speaker 5: huge implications for anyone who uses basic utilities like electricity

465
00:21:29,840 --> 00:21:31,840
Speaker 5: or water, i e. The things that keep us from

466
00:21:31,840 --> 00:21:34,080
Speaker 5: freezing to death in the woods, because if they realize

467
00:21:34,119 --> 00:21:36,480
Speaker 5: it's profitable, nothing will stop them. And this kind of

468
00:21:36,560 --> 00:21:38,760
Speaker 5: thing has happened before in the Upper Peninsula of Michigan

469
00:21:38,920 --> 00:21:42,119
Speaker 5: with a power company called UPco. This is Alyssa jen Schaeffer,

470
00:21:42,200 --> 00:21:44,359
Speaker 5: the director of Climate and Energy at the Private Equity

471
00:21:44,400 --> 00:21:45,240
Speaker 5: Stakeholder Project.

472
00:21:45,600 --> 00:21:49,280
Speaker 7: If we look at northern Michigan, there's a utility called

473
00:21:49,680 --> 00:21:53,680
Speaker 7: the Upper Peninsula Power Company or UPco. This was acquired

474
00:21:53,720 --> 00:21:56,280
Speaker 7: by a private equity firm in twenty fourteen.

475
00:21:56,760 --> 00:21:59,440
Speaker 1: UPCOLL customers have seen a spike in their rates. Many

476
00:21:59,480 --> 00:22:00,280
Speaker 1: say they can had a.

477
00:22:00,320 --> 00:22:04,000
Speaker 7: Ford after the private equity firm took it over. Shortly thereafter,

478
00:22:04,520 --> 00:22:07,160
Speaker 7: they raised the bills. A couple of years later, bills

479
00:22:07,200 --> 00:22:09,920
Speaker 7: went up again. Then that private equity firm sold it

480
00:22:10,000 --> 00:22:12,800
Speaker 7: to a different private equity firm. Once the new private

481
00:22:12,840 --> 00:22:16,320
Speaker 7: equity owners were in control, they raised bills again. Since

482
00:22:16,400 --> 00:22:19,840
Speaker 7: twenty fourteen, a PO being owned by private equity has

483
00:22:19,920 --> 00:22:21,160
Speaker 7: seen for bill.

484
00:22:21,040 --> 00:22:23,200
Speaker 1: Hikes And where do you think that that's going and

485
00:22:23,280 --> 00:22:24,000
Speaker 1: who's benefit?

486
00:22:24,119 --> 00:22:26,639
Speaker 3: You can see exactly how it's all happening, and I

487
00:22:26,720 --> 00:22:28,600
Speaker 3: mean the fakery of it as I described in that

488
00:22:28,680 --> 00:22:32,359
Speaker 3: open AI AMD deal. It just seems very key, and

489
00:22:32,480 --> 00:22:34,320
Speaker 3: I just think we all have to just grapple with

490
00:22:34,440 --> 00:22:37,480
Speaker 3: again for what to what benefit. I hear all the

491
00:22:37,520 --> 00:22:40,480
Speaker 3: time about productivity gains in the white collar workplace. Great,

492
00:22:40,680 --> 00:22:44,520
Speaker 3: I'm against meetings, I'm against bulletins and alicis list nobody

493
00:22:44,600 --> 00:22:46,719
Speaker 3: more than me. I don't know how the slackers out

494
00:22:46,760 --> 00:22:48,040
Speaker 3: there are all doing it. And I don't mean that

495
00:22:48,080 --> 00:22:49,959
Speaker 3: you are a slacker. I was saying physically all well

496
00:22:50,040 --> 00:22:53,600
Speaker 3: honestly on black channels for people who can bug you

497
00:22:54,000 --> 00:23:00,320
Speaker 3: at any hour of the day. You also see the

498
00:23:00,560 --> 00:23:05,159
Speaker 3: consumer side effect of this, where it's unscrupulous and it's crazy.

499
00:23:05,280 --> 00:23:07,600
Speaker 3: So friend of the show Seth Harp put this up

500
00:23:07,640 --> 00:23:11,399
Speaker 3: here on the screen craziness. So he shows that people

501
00:23:11,720 --> 00:23:15,960
Speaker 3: on Amazon have aied his book and are selling it

502
00:23:16,080 --> 00:23:19,320
Speaker 3: there I guess, either pulling it the text from Google

503
00:23:19,359 --> 00:23:22,240
Speaker 3: Books or something like that, and they're able to set

504
00:23:22,320 --> 00:23:25,199
Speaker 3: up some sort of drop chip where you have an

505
00:23:25,280 --> 00:23:28,760
Speaker 3: AI knockoff of the book versus the genuine piece. As

506
00:23:28,800 --> 00:23:30,359
Speaker 3: he says here, quote we need to rise up and

507
00:23:30,359 --> 00:23:32,840
Speaker 3: stop the tech industry by force. Our livelihoods, our culture,

508
00:23:32,880 --> 00:23:34,960
Speaker 3: and our ecological environment are worth fighting for.

509
00:23:35,280 --> 00:23:37,359
Speaker 1: I am deadly serious. I like his energy.

510
00:23:37,760 --> 00:23:39,800
Speaker 3: But what he points out is that his book actually

511
00:23:39,960 --> 00:23:44,719
Speaker 3: explicitly states that he has a copyright proviso. It cannot,

512
00:23:45,080 --> 00:23:48,159
Speaker 3: according to his copyright, be fed into AI systems. But

513
00:23:48,400 --> 00:23:51,159
Speaker 3: instead what's happened is somehow somebody's been able to do that,

514
00:23:51,480 --> 00:23:54,440
Speaker 3: and they've been able to explode everywhere online. And what

515
00:23:54,600 --> 00:23:56,960
Speaker 3: I think also is very crazy is that this is

516
00:23:57,119 --> 00:23:59,280
Speaker 3: just one of the more high profile examples. Because the

517
00:23:59,320 --> 00:24:02,120
Speaker 3: Fort Brackcarte was such a popular book, I saw other

518
00:24:02,240 --> 00:24:05,879
Speaker 3: authors show that their books also had quote AI competitors

519
00:24:06,119 --> 00:24:08,880
Speaker 3: when you search for it. You also had this instance

520
00:24:08,960 --> 00:24:12,960
Speaker 3: where immediately after the whole Charlie Kirk thing happened, that

521
00:24:13,080 --> 00:24:16,359
Speaker 3: there were these weird uh there were these weird books

522
00:24:16,680 --> 00:24:20,360
Speaker 3: that started going everywhere, like in terms of in terms

523
00:24:20,400 --> 00:24:21,720
Speaker 3: of biographies of Charlie.

524
00:24:21,760 --> 00:24:24,359
Speaker 2: So we even some that were like, you know, everything

525
00:24:24,400 --> 00:24:27,600
Speaker 2: we know about Charlie Kirk's assassination. That popped up, like

526
00:24:28,200 --> 00:24:33,360
Speaker 2: you know, immediately because some AI entrepreneur quote unquote fraudster

527
00:24:33,560 --> 00:24:36,840
Speaker 2: really saw the opportunities, saw that there was a lot

528
00:24:36,880 --> 00:24:39,480
Speaker 2: of public interest and just said to you know, chat

529
00:24:39,560 --> 00:24:42,680
Speaker 2: Chipeti or whatever, write me a book about what we

530
00:24:42,800 --> 00:24:45,879
Speaker 2: know on Charlie Kirk's murder. Spun that thing up immediately,

531
00:24:46,040 --> 00:24:48,760
Speaker 2: and instantly it's up on Amazon exactly.

532
00:24:48,880 --> 00:24:53,240
Speaker 3: It's insane, can we it is a eight please just

533
00:24:53,280 --> 00:24:55,840
Speaker 3: to show everybody so you can see these AI slot

534
00:24:55,880 --> 00:25:00,600
Speaker 3: books about Charlie Kirk's assassination, ignited conspiracy theories online like

535
00:25:00,680 --> 00:25:03,480
Speaker 3: you just said about psyops. I mean, look, this is

536
00:25:03,640 --> 00:25:06,560
Speaker 3: my biggest concern, and in fact, what we have talked

537
00:25:06,560 --> 00:25:10,840
Speaker 3: about with Sora, the amount of AI videos that are

538
00:25:10,920 --> 00:25:15,040
Speaker 3: now just explicitly going viral about you know, there's the

539
00:25:15,119 --> 00:25:18,280
Speaker 3: famous ones that are boomers, but I saw a few yesterday.

540
00:25:18,280 --> 00:25:20,320
Speaker 3: People send them to me now because they know that

541
00:25:20,400 --> 00:25:22,320
Speaker 3: I'm interested. And it's like a woman trying to save

542
00:25:22,359 --> 00:25:26,720
Speaker 3: her son from a crocodile getting eaten. It's uncanny valley

543
00:25:26,760 --> 00:25:29,119
Speaker 3: where I can tell but I mean, if no offense

544
00:25:29,160 --> 00:25:31,320
Speaker 3: to our older audience, but if you're like fifty or sixty,

545
00:25:31,400 --> 00:25:33,520
Speaker 3: I could see how you fall. They have ten tens

546
00:25:33,600 --> 00:25:35,960
Speaker 3: of thousands of views, like they're going everywhere, and the

547
00:25:36,000 --> 00:25:38,240
Speaker 3: reason why they churn this stuff out is because they

548
00:25:38,280 --> 00:25:40,560
Speaker 3: can turn an unbelievable amount of slop if even a

549
00:25:40,640 --> 00:25:43,280
Speaker 3: couple go viral, Let's say, it can cover the cost

550
00:25:43,400 --> 00:25:45,320
Speaker 3: of what the generation is, and then you do that

551
00:25:45,400 --> 00:25:48,320
Speaker 3: at scale forever. It's a classic content business where they

552
00:25:48,400 --> 00:25:50,159
Speaker 3: only need a few of these things, you know, to

553
00:25:50,240 --> 00:25:51,920
Speaker 3: actually to go viral.

554
00:25:51,960 --> 00:25:54,200
Speaker 2: I've seen apparently this is like all I'm not really

555
00:25:54,280 --> 00:25:56,520
Speaker 2: on Facebook, but apparently this is like most of what

556
00:25:56,680 --> 00:25:59,160
Speaker 2: Facebook is at this point because that's where the boomers congregate.

557
00:25:59,240 --> 00:26:01,720
Speaker 2: That's right, would be vulnerable to it. And it's just

558
00:26:01,840 --> 00:26:05,639
Speaker 2: like AI slot generated by fake AI accounts serve to

559
00:26:05,720 --> 00:26:09,480
Speaker 2: other fake fake AI accounts that you know, than some

560
00:26:09,840 --> 00:26:13,120
Speaker 2: percentage of boomers are also taken in by I myself

561
00:26:13,320 --> 00:26:15,640
Speaker 2: enjoy a good cat video. I was watching some cat

562
00:26:15,720 --> 00:26:18,359
Speaker 2: videos just talks yesterday and I realized I was like,

563
00:26:18,440 --> 00:26:19,959
Speaker 2: I don't know if this is real or not. I mean,

564
00:26:20,080 --> 00:26:22,120
Speaker 2: it's pretty low stakes when you're talking about a cat video.

565
00:26:22,400 --> 00:26:25,200
Speaker 2: But when you're talking about, you know, something serious which

566
00:26:25,240 --> 00:26:27,560
Speaker 2: any of us could imagine, you know, a political figure

567
00:26:27,640 --> 00:26:31,439
Speaker 2: or whatever, then it's a it's a different deal. It's

568
00:26:31,600 --> 00:26:37,960
Speaker 2: very destabilizing for our shared understanding of reality. And it's

569
00:26:38,119 --> 00:26:41,520
Speaker 2: already good enough that we're at that point, even though

570
00:26:41,760 --> 00:26:44,480
Speaker 2: you know, a trained eye can tell most of the

571
00:26:44,560 --> 00:26:45,359
Speaker 2: real from.

572
00:26:45,280 --> 00:26:47,439
Speaker 1: The fake exactly, and let's continue here.

573
00:26:48,000 --> 00:26:48,720
Speaker 6: A eight C.

574
00:26:49,080 --> 00:26:51,400
Speaker 1: Please. This was from Robin William's daughter.

575
00:26:51,480 --> 00:26:53,640
Speaker 3: I thought it was actually such a nice message where

576
00:26:53,960 --> 00:26:57,360
Speaker 3: she sais, quote please stop sending the AI videos of Dad,

577
00:26:57,800 --> 00:27:00,520
Speaker 3: if you have any decency, stop doing this to him

578
00:27:00,640 --> 00:27:03,240
Speaker 3: and to me, to everyone, even full stop.

579
00:27:03,400 --> 00:27:06,240
Speaker 1: It's dumb. It's a waste of time and energy. Believe me,

580
00:27:06,359 --> 00:27:08,320
Speaker 1: it is not what he would want to watch.

581
00:27:08,359 --> 00:27:11,200
Speaker 3: The legacies of real people be contense down to this

582
00:27:11,400 --> 00:27:13,080
Speaker 3: vaguely looks and sounds like him.

583
00:27:13,320 --> 00:27:14,880
Speaker 1: So that so that's enough.

584
00:27:15,240 --> 00:27:18,240
Speaker 3: Just so other people can turn out horrible TikTok's slop

585
00:27:18,600 --> 00:27:20,360
Speaker 3: puppeteering them is maddening.

586
00:27:20,680 --> 00:27:21,840
Speaker 1: You are not making art.

587
00:27:22,119 --> 00:27:25,399
Speaker 3: You are making disgusting overprocessed hot dogs out of the

588
00:27:25,520 --> 00:27:28,239
Speaker 3: lives of human beings, out of the history of art

589
00:27:28,320 --> 00:27:31,000
Speaker 3: and music and then shoving them down someone else's throat

590
00:27:31,240 --> 00:27:33,159
Speaker 3: hoping they will give you a little thumbs up and

591
00:27:33,400 --> 00:27:36,800
Speaker 3: like it's gross, and for the love of everything, stop

592
00:27:36,920 --> 00:27:40,919
Speaker 3: calling quote it the future. AI is just badly recycling

593
00:27:41,000 --> 00:27:44,119
Speaker 3: and regurgitating the past to be reconsumed. You are taking

594
00:27:44,200 --> 00:27:47,120
Speaker 3: in the human centipede of content and from the very

595
00:27:47,280 --> 00:27:49,919
Speaker 3: very end of the line, all while the folks at

596
00:27:49,960 --> 00:27:53,480
Speaker 3: the front laugh and laugh, consume and consume. So that

597
00:27:53,600 --> 00:27:56,920
Speaker 3: is from Robin Williams's daughter Zelda. I really appreciate that

598
00:27:57,240 --> 00:28:00,840
Speaker 3: from her. And at the same time we talked about

599
00:28:00,920 --> 00:28:03,399
Speaker 3: China earlier. We weren't able to cover this bridge. But

600
00:28:03,520 --> 00:28:07,040
Speaker 3: there's this new video going out and going massively viral

601
00:28:07,359 --> 00:28:08,240
Speaker 3: for the right reasons.

602
00:28:08,320 --> 00:28:09,000
Speaker 1: It's not Ai.

603
00:28:09,600 --> 00:28:12,199
Speaker 3: China has now officially opened the world's tallest bridge. They

604
00:28:12,240 --> 00:28:14,359
Speaker 3: did it in less than four years. The bridge has

605
00:28:14,400 --> 00:28:16,920
Speaker 3: a restaurant at the top, twenty six hundred feet above

606
00:28:16,960 --> 00:28:19,280
Speaker 3: the river. The bridge cuts a two hour drive to

607
00:28:19,359 --> 00:28:22,399
Speaker 3: two minutes, features a theme park with a glass skywalk,

608
00:28:22,720 --> 00:28:25,639
Speaker 3: a high speed glass elevator, and a waterfall off of

609
00:28:25,680 --> 00:28:28,040
Speaker 3: the top of the bridge. Visitors can bungee jump off

610
00:28:28,080 --> 00:28:31,520
Speaker 3: of it. The Grand Canyon Bridge is twenty fifty feet

611
00:28:31,600 --> 00:28:34,480
Speaker 3: above the river and spans forty six hundred feet across

612
00:28:34,760 --> 00:28:36,480
Speaker 3: quote insane, and you can see.

613
00:28:36,359 --> 00:28:38,600
Speaker 2: Here that is waterfall features.

614
00:28:38,680 --> 00:28:40,160
Speaker 1: It must be nice to live in a real country.

615
00:28:40,560 --> 00:28:42,440
Speaker 3: You know, last time that we were doing stuff like

616
00:28:42,520 --> 00:28:44,520
Speaker 3: this was when Hoover Dam that was over almost one

617
00:28:44,560 --> 00:28:45,160
Speaker 3: hundred years ago.

618
00:28:45,520 --> 00:28:47,040
Speaker 1: Waf you're at Hoover Dam was pretty awesome.

619
00:28:47,040 --> 00:28:49,800
Speaker 2: People were making the comparison to the bridge that was

620
00:28:49,920 --> 00:28:52,600
Speaker 2: knocked down by the ship in Baltimore. All right, and

621
00:28:53,120 --> 00:28:55,360
Speaker 2: how long it will take for them? I mean, I

622
00:28:55,400 --> 00:28:58,440
Speaker 2: think they have started construction, which is actually pretty good

623
00:28:58,760 --> 00:29:01,120
Speaker 2: for America's standard, but it's going to be years and

624
00:29:01,240 --> 00:29:04,040
Speaker 2: years before that thing is complete. And that's just you know,

625
00:29:04,240 --> 00:29:06,760
Speaker 2: a basic as but I mean, look, it's an extraordinary

626
00:29:07,160 --> 00:29:09,880
Speaker 2: modern marvel, etc. But it's also like nothing special in

627
00:29:09,920 --> 00:29:12,120
Speaker 2: the grand scheme of bridges, and that will take much

628
00:29:12,160 --> 00:29:14,360
Speaker 2: longer than the four years apparently that they were able

629
00:29:14,440 --> 00:29:18,200
Speaker 2: to construct this in and that's not all some incredible

630
00:29:18,240 --> 00:29:21,800
Speaker 2: scientific breakthroughs coming out of China that we would be

631
00:29:21,880 --> 00:29:24,320
Speaker 2: remiss if we didn't mention. Let's put a eleven up

632
00:29:24,400 --> 00:29:28,760
Speaker 2: on the screen. So they apparently have been able to

633
00:29:29,080 --> 00:29:33,720
Speaker 2: innovate in terms of potential anti aging. Chinese scientists achieve

634
00:29:33,760 --> 00:29:36,880
Speaker 2: a breakthrough and reverse aging in primates. They've demonstrated that

635
00:29:36,960 --> 00:29:39,680
Speaker 2: genetically engineered human stem cells can reverse key signs of

636
00:29:39,720 --> 00:29:42,280
Speaker 2: aging and monkeys and these were, you know, monkeys, very

637
00:29:42,320 --> 00:29:45,480
Speaker 2: similar to humans. Marketing major step toward potential therapies for

638
00:29:45,600 --> 00:29:49,520
Speaker 2: age related to client in humans. This is one development

639
00:29:49,600 --> 00:29:52,600
Speaker 2: that our friend Arnobertrand looked into and said, yeah, looks

640
00:29:52,680 --> 00:29:57,440
Speaker 2: pretty legit and pretty potentially transformational. They also recently developed

641
00:29:57,520 --> 00:30:00,479
Speaker 2: this bone glue. This is a ten that we can

642
00:30:00,520 --> 00:30:03,000
Speaker 2: put up on the screen that you know, instead of

643
00:30:03,160 --> 00:30:07,400
Speaker 2: if you have these micro fractures and complex procedures that

644
00:30:07,440 --> 00:30:10,200
Speaker 2: you'd have to do, requiring like screws and metal plates

645
00:30:10,240 --> 00:30:13,240
Speaker 2: and all the rest, they've developed this bone glue that

646
00:30:13,400 --> 00:30:16,200
Speaker 2: repairs bone fractures they say, in just three minutes. Another

647
00:30:16,240 --> 00:30:18,720
Speaker 2: one that Arnot Bertrand looked into and said, man, looks

648
00:30:18,760 --> 00:30:22,200
Speaker 2: pretty legit. So so that's what they're that's what they're

649
00:30:22,360 --> 00:30:25,760
Speaker 2: up to now. They are also in on the AI race. Yeah,

650
00:30:25,880 --> 00:30:29,000
Speaker 2: so you know Deep Seak, Yeah, Deep Seek, among other

651
00:30:29,200 --> 00:30:32,360
Speaker 2: They're also not the only Chinese competitor in the AI

652
00:30:32,480 --> 00:30:36,160
Speaker 2: development race, but it's not apparently what their entire economy

653
00:30:36,280 --> 00:30:37,520
Speaker 2: is based on, as is ours.

654
00:30:37,680 --> 00:30:39,440
Speaker 3: The point is is that they can have all of

655
00:30:39,520 --> 00:30:41,680
Speaker 3: the above because they have the real stuff. They have

656
00:30:42,040 --> 00:30:45,960
Speaker 3: actual you know, functioning government, They have a plan. It

657
00:30:46,040 --> 00:30:47,920
Speaker 3: comes with a lot of trade offs. Okay, you know,

658
00:30:48,080 --> 00:30:49,920
Speaker 3: always be remiss if we didn't say there are a

659
00:30:49,960 --> 00:30:50,720
Speaker 3: lot of trade offs.

660
00:30:50,760 --> 00:30:52,120
Speaker 1: But I have to be honest.

661
00:30:52,280 --> 00:30:55,200
Speaker 3: It is looking, you know, it is challenging the Western

662
00:30:55,280 --> 00:30:58,640
Speaker 3: conception of itself on a daily basis. They are like

663
00:30:58,720 --> 00:31:02,440
Speaker 3: the Japanese of the nineteen hundreds, which could prove that

664
00:31:02,520 --> 00:31:05,760
Speaker 3: you could leap a single generation and you could catch

665
00:31:05,840 --> 00:31:07,719
Speaker 3: up to the West, and in many cases you can

666
00:31:07,720 --> 00:31:09,640
Speaker 3: actually do it a lot better than them. But with

667
00:31:09,760 --> 00:31:12,800
Speaker 3: the system which is completely foreign, completely in some ways

668
00:31:12,840 --> 00:31:16,560
Speaker 3: either antithetical or different to whatever is actually happening, you know,

669
00:31:16,680 --> 00:31:20,640
Speaker 3: with the so called like amazing creative destruction, and instead

670
00:31:20,640 --> 00:31:23,720
Speaker 3: it's entirely state powered, it's state sponsored, and it's just

671
00:31:23,800 --> 00:31:27,200
Speaker 3: a sheer force of will it. Also, what we have

672
00:31:27,360 --> 00:31:31,120
Speaker 3: to note is it explains that weird hot mic moment

673
00:31:31,400 --> 00:31:36,000
Speaker 3: between Putin and Chishingping talking about organ transplants and immortality.

674
00:31:36,240 --> 00:31:39,000
Speaker 3: So maybe she was in on this anti aging secret.

675
00:31:39,080 --> 00:31:41,280
Speaker 3: Let's relive that for people who haven't seen it.

676
00:31:42,080 --> 00:31:45,880
Speaker 4: In the past, people rarely lived longer than seventy years,

677
00:31:46,280 --> 00:31:49,880
Speaker 4: but today they say that at seventy you're still a child.

678
00:31:50,400 --> 00:31:53,160
Speaker 2: Human organs can be continuously transplanted.

679
00:31:53,560 --> 00:31:56,800
Speaker 1: The longer you live, the younger you become, and can

680
00:31:56,920 --> 00:31:58,480
Speaker 1: even achieve immortality.

681
00:31:59,200 --> 00:32:02,080
Speaker 3: The two of them talking about immortality. Maybe she was

682
00:32:02,160 --> 00:32:05,080
Speaker 3: in on this, but you know, people saw. I mean

683
00:32:05,120 --> 00:32:06,440
Speaker 3: even I said, I was like, oh, it's kind of

684
00:32:06,480 --> 00:32:08,479
Speaker 3: like a god complex. I'm like, maybe it's just reality.

685
00:32:08,560 --> 00:32:11,000
Speaker 3: Maybe that's what the world's super rich, and especially the

686
00:32:11,080 --> 00:32:13,480
Speaker 3: leader of one of the most developing countries in the

687
00:32:13,560 --> 00:32:15,880
Speaker 3: world can look at and can say, no, this is

688
00:32:15,960 --> 00:32:19,280
Speaker 3: actually going to happen in my lifetime. But I think

689
00:32:19,280 --> 00:32:21,520
Speaker 3: you just put it together and you put there, you

690
00:32:21,640 --> 00:32:26,640
Speaker 3: put their production, their economic structure, their values, and then

691
00:32:26,680 --> 00:32:28,400
Speaker 3: you look at ours and you're like, come on, what

692
00:32:28,480 --> 00:32:30,240
Speaker 3: are we doing here? I mean, they would never allow

693
00:32:30,280 --> 00:32:32,880
Speaker 3: themselves to be in a situation where some eighty percent

694
00:32:33,240 --> 00:32:36,480
Speaker 3: of their entire growth is attributed in their stock market

695
00:32:36,720 --> 00:32:40,280
Speaker 3: to a single sector of the economy. Same with their

696
00:32:40,360 --> 00:32:42,960
Speaker 3: GDP growth. Now look again, I've said they had a

697
00:32:43,000 --> 00:32:44,840
Speaker 3: lot of problems. In fact, that book I just read

698
00:32:44,880 --> 00:32:47,680
Speaker 3: by Dan Wang, these bridges. They're obsessed with these bridges.

699
00:32:47,800 --> 00:32:51,040
Speaker 3: It's like everything is about infrastructure. It's almost new deal

700
00:32:51,080 --> 00:32:54,680
Speaker 3: asking civilian conservation, like just go and build rest stops.

701
00:32:54,720 --> 00:32:57,400
Speaker 1: Who cares if anybody uses them? But I mean there's

702
00:32:57,440 --> 00:32:57,920
Speaker 1: something there.

703
00:32:58,200 --> 00:33:01,280
Speaker 3: The point actually, I think for them is to project

704
00:33:01,320 --> 00:33:04,920
Speaker 3: the legitimate legitimacy of the state outside of Beijing, Shanghai,

705
00:33:05,000 --> 00:33:07,360
Speaker 3: Guang like the big cities. They have to go out

706
00:33:07,360 --> 00:33:09,000
Speaker 3: into the rural areas and be like I tangibly and

707
00:33:09,080 --> 00:33:11,080
Speaker 3: making your life better. You used to literally have to

708
00:33:11,120 --> 00:33:13,680
Speaker 3: go two hours on some mountain path. I just built

709
00:33:13,680 --> 00:33:15,680
Speaker 3: you a big ass bridge. People are going to come

710
00:33:15,720 --> 00:33:17,600
Speaker 3: from all over China to come in to see it,

711
00:33:17,760 --> 00:33:20,360
Speaker 3: and it's awesome. And they do that with train stations,

712
00:33:20,480 --> 00:33:23,000
Speaker 3: rural train stations everywhere all across, even if people don't

713
00:33:23,080 --> 00:33:25,840
Speaker 3: use them, just to show people the governments here we're

714
00:33:25,880 --> 00:33:28,400
Speaker 3: here to help. We've made your life better you were

715
00:33:28,440 --> 00:33:30,680
Speaker 3: living in the twenty first century, even if you used

716
00:33:30,680 --> 00:33:32,920
Speaker 3: to live in a backwater, what we would have considered it.

717
00:33:33,120 --> 00:33:35,640
Speaker 3: I mean, there's something there right in terms of legitimacy

718
00:33:35,680 --> 00:33:39,280
Speaker 3: and projection sure, it's not purely capitalist or makes sense

719
00:33:39,320 --> 00:33:41,760
Speaker 3: from an efficiency point of view, but it does from

720
00:33:41,800 --> 00:33:45,080
Speaker 3: a more grand strategic way of trying to disperse like

721
00:33:45,360 --> 00:33:48,520
Speaker 3: big growth and big projects all over the country. In

722
00:33:48,600 --> 00:33:50,320
Speaker 3: some ways, that's what makes to be more of a

723
00:33:50,440 --> 00:33:52,640
Speaker 3: unified country. And of course they have division, they have

724
00:33:52,680 --> 00:33:54,960
Speaker 3: all kinds of problems, but listen, I would like to

725
00:33:55,040 --> 00:33:56,880
Speaker 3: have their problems personally. I would like to have that

726
00:33:57,000 --> 00:33:59,800
Speaker 3: issue of too many bridges and too many infrastructure projects

727
00:34:00,040 --> 00:34:02,600
Speaker 3: as opposed to what we're saying the Baltimore Bridge, which

728
00:34:02,800 --> 00:34:06,160
Speaker 3: apparently is barely you know, we're not even a projected

729
00:34:06,200 --> 00:34:10,239
Speaker 3: timeline to finish all that quickly. How many potholes you

730
00:34:10,280 --> 00:34:12,799
Speaker 3: and I drive here in Washington, DC area every day.

731
00:34:12,840 --> 00:34:15,680
Speaker 3: It's a shithole, Like it's a shithole, and nobody does

732
00:34:15,719 --> 00:34:19,120
Speaker 3: anything about it, and everybody's blaming each other. The metro our,

733
00:34:19,239 --> 00:34:22,480
Speaker 3: you know, in our premiere flagship city here in Washington,

734
00:34:22,560 --> 00:34:25,000
Speaker 3: over the last ten years, it's gotten so much worse,

735
00:34:25,440 --> 00:34:28,160
Speaker 3: probably the same with a lot of different public transportation.

736
00:34:28,520 --> 00:34:30,880
Speaker 2: I was, I mean, our government is literally shut in,

737
00:34:31,000 --> 00:34:33,560
Speaker 2: our shot out, and there's like no one even cares

738
00:34:33,719 --> 00:34:38,600
Speaker 2: no hope of it reopening. Anytime soon. Air travels apparently slowed.

739
00:34:38,680 --> 00:34:41,080
Speaker 2: I know there's a smaller airports that have no air

740
00:34:41,120 --> 00:34:44,440
Speaker 2: traffic control. That's the level of dysfunction that we're at

741
00:34:44,560 --> 00:34:47,480
Speaker 2: in this country. And especially, I mean, you know, especially

742
00:34:47,520 --> 00:34:50,000
Speaker 2: when you have the crackdown and descent now that's coming

743
00:34:50,040 --> 00:34:51,960
Speaker 2: from this country as well. It's not like we can

744
00:34:52,040 --> 00:34:53,520
Speaker 2: even be like, yeah, but at least we're free. At

745
00:34:53,600 --> 00:34:55,400
Speaker 2: least we can say whatever we want. Oh really, we're

746
00:34:55,440 --> 00:34:57,959
Speaker 2: about to tell you about Berry Whis's taking over CBS News.

747
00:34:58,320 --> 00:34:59,839
Speaker 2: So how's that going for us as well?

748
00:35:00,640 --> 00:35:03,080
Speaker 1: Yeah, listen, should we go? Should we? Should we transition?

749
00:35:03,160 --> 00:35:08,759
Speaker 2: It's a good transition, very wise. Now officially editor in

750
00:35:08,880 --> 00:35:12,440
Speaker 2: chief over at CBS News. It is wild, like just

751
00:35:12,520 --> 00:35:14,759
Speaker 2: to reflect on who this person is and where she

752
00:35:14,840 --> 00:35:17,520
Speaker 2: came from and what I mean, she's like, you know,

753
00:35:17,640 --> 00:35:20,120
Speaker 2: she was this opinion writer at the New York Times.

754
00:35:21,280 --> 00:35:25,080
Speaker 2: She was like at odds with her colleagues there and

755
00:35:25,480 --> 00:35:29,560
Speaker 2: ends up leaving the Times after feeling some level of pressure.

756
00:35:29,920 --> 00:35:34,480
Speaker 2: Starts the quote unquote free press. And now because I

757
00:35:34,560 --> 00:35:38,919
Speaker 2: mean listen, it's because she will consistently toe the Zionist line.

758
00:35:38,960 --> 00:35:40,560
Speaker 2: Like it's very clear why she got the job.

759
00:35:41,080 --> 00:35:41,200
Speaker 4: Now.

760
00:35:41,280 --> 00:35:43,800
Speaker 2: She is going to be editor in chief over at CBS.

761
00:35:43,880 --> 00:35:45,400
Speaker 2: So let's go ahead and take a listen to a

762
00:35:45,480 --> 00:35:49,040
Speaker 2: little bit of her video from the main Free Press

763
00:35:49,160 --> 00:35:51,640
Speaker 2: channel talking about what she is bringing to the table

764
00:35:51,719 --> 00:35:52,840
Speaker 2: over there this morning.

765
00:35:53,040 --> 00:35:56,360
Speaker 8: The Free Press is joining Paramount. This movie is a

766
00:35:56,440 --> 00:36:00,440
Speaker 8: testament to many things, the Free Press team, the vision

767
00:36:00,520 --> 00:36:04,160
Speaker 8: of Paramounts new leaders, the luck of starting an independent

768
00:36:04,280 --> 00:36:07,560
Speaker 8: media company at just the right moment, and the courage

769
00:36:07,640 --> 00:36:10,600
Speaker 8: of my colleagues to leave behind old worlds to build

770
00:36:10,600 --> 00:36:12,839
Speaker 8: a new one. There is a market, a big one,

771
00:36:13,200 --> 00:36:16,200
Speaker 8: for honest journalism, and you've given us a mandate to

772
00:36:16,280 --> 00:36:20,759
Speaker 8: pursue that mission from an even bigger platform. I'm going

773
00:36:20,840 --> 00:36:24,879
Speaker 8: to continue to lead this incredible community alongside my tireless team,

774
00:36:25,440 --> 00:36:28,400
Speaker 8: remaining CEO and editor in chief of The Free Press,

775
00:36:28,680 --> 00:36:31,600
Speaker 8: and of course hosting this show. But as of today

776
00:36:31,640 --> 00:36:34,920
Speaker 8: I'll be taking on another title too. I'm now Editor

777
00:36:34,960 --> 00:36:38,320
Speaker 8: in Chief of CBS News, working with new colleagues on

778
00:36:38,400 --> 00:36:42,920
Speaker 8: the programs that have impacted American culture for generations, shows

779
00:36:43,000 --> 00:36:46,640
Speaker 8: like Sixty Minutes and Sunday Morning, and also shaping how

780
00:36:46,760 --> 00:36:52,600
Speaker 8: millions of Americans read, listen, watch, and most importantly understand

781
00:36:52,719 --> 00:36:54,640
Speaker 8: the news in the twenty first century.

782
00:36:55,080 --> 00:36:57,399
Speaker 2: Okay, so we got that. We also have her letter

783
00:36:57,760 --> 00:37:00,600
Speaker 2: that she sent out to CBS News employees that we

784
00:37:00,680 --> 00:37:02,960
Speaker 2: can put up on the screen. Dear colleagues, thrilled and

785
00:37:03,040 --> 00:37:05,200
Speaker 2: humble to be writing you this as the new editor

786
00:37:05,280 --> 00:37:08,120
Speaker 2: in chief of CBS. You can see the principles that

787
00:37:08,200 --> 00:37:11,200
Speaker 2: she lays out that she says she will champion number One,

788
00:37:11,280 --> 00:37:13,880
Speaker 2: journalism that reports on the world as it actually is.

789
00:37:14,080 --> 00:37:17,200
Speaker 2: Journalism that is fair, fearless, factual, respects our audience, to

790
00:37:17,280 --> 00:37:20,960
Speaker 2: tell the truth, plainly makes sense of a noisy, confusing world,

791
00:37:22,920 --> 00:37:26,080
Speaker 2: explains things, clearly, holds both American political parties equal scrutiny,

792
00:37:26,160 --> 00:37:28,719
Speaker 2: et cetera, et cetera. I want to revise a little

793
00:37:28,719 --> 00:37:29,960
Speaker 2: bit what I said at the top, that she got

794
00:37:30,000 --> 00:37:32,560
Speaker 2: the job just because she's an art Zionis. That's certainly

795
00:37:32,600 --> 00:37:35,000
Speaker 2: part of it. That's a huge part of it. But

796
00:37:35,480 --> 00:37:38,240
Speaker 2: I think the best way to understand the free press

797
00:37:38,719 --> 00:37:41,600
Speaker 2: and the role that they served, putting aside the pro

798
00:37:41,800 --> 00:37:44,480
Speaker 2: Israel propaganda, which has become a central part of what

799
00:37:44,600 --> 00:37:47,600
Speaker 2: they did but wasn't initially prior to your October seventh,

800
00:37:48,160 --> 00:37:50,960
Speaker 2: they sort of do the same type of journalism that,

801
00:37:51,320 --> 00:37:53,239
Speaker 2: like you know, was being done at places like the

802
00:37:53,360 --> 00:37:56,600
Speaker 2: Washington Post in peak woke era where instead of punching

803
00:37:56,719 --> 00:37:59,560
Speaker 2: up at power, they would find some random person who

804
00:37:59,600 --> 00:38:01,839
Speaker 2: did some stupid and like write a big story. Oh

805
00:38:01,920 --> 00:38:03,960
Speaker 2: my god, can you believe this random person like wore

806
00:38:04,000 --> 00:38:08,000
Speaker 2: this Halloween costume? They do they Yeah, right, they do

807
00:38:08,200 --> 00:38:10,040
Speaker 2: the equivalent of that, but coming from the right.

808
00:38:10,520 --> 00:38:12,520
Speaker 1: So not only do you say it's from the right,

809
00:38:12,600 --> 00:38:14,080
Speaker 1: but yeah, not only do.

810
00:38:14,160 --> 00:38:17,120
Speaker 2: They have the consistent commitment, like you will never have

811
00:38:17,239 --> 00:38:20,360
Speaker 2: a problem with Barry Weiss doing real journalism around Israel.

812
00:38:20,520 --> 00:38:22,480
Speaker 2: That's not going to happen. So not only do you

813
00:38:22,560 --> 00:38:25,680
Speaker 2: have that consistent commitment, but you also have a commitment

814
00:38:25,760 --> 00:38:29,280
Speaker 2: to always punching down and never really training your sites

815
00:38:29,400 --> 00:38:32,920
Speaker 2: on power. Certainly not power when it comes to capital

816
00:38:33,040 --> 00:38:35,840
Speaker 2: and money. And so that's what you get truly with

817
00:38:36,080 --> 00:38:38,880
Speaker 2: with the Barry White package. That is what you're buying.

818
00:38:38,960 --> 00:38:40,480
Speaker 2: And so you know, we've made a lot of fun

819
00:38:40,520 --> 00:38:42,560
Speaker 2: about their valuation and ended up being bought for one

820
00:38:42,640 --> 00:38:46,080
Speaker 2: hundred and fifty million dollars. Insane, completely insane. But they're

821
00:38:46,160 --> 00:38:49,200
Speaker 2: not really paying for the business. They're not really paying

822
00:38:49,320 --> 00:38:51,200
Speaker 2: for Certainly, if you look at the YouTube channel, like

823
00:38:51,320 --> 00:38:53,799
Speaker 2: this little video she made had like eighteen thousand piece

824
00:38:54,000 --> 00:38:55,880
Speaker 2: on it, which you would think would be a big announcement,

825
00:38:56,160 --> 00:38:58,400
Speaker 2: and was one of the better performers on their channel

826
00:38:59,040 --> 00:39:01,360
Speaker 2: compared to the rest of what they put out. What

827
00:39:01,480 --> 00:39:05,600
Speaker 2: they're paying for is that protection of the elite and

828
00:39:05,760 --> 00:39:08,080
Speaker 2: commitment to the Zionist ideological project.

829
00:39:08,160 --> 00:39:10,759
Speaker 3: Let me triple down on that. And this is why

830
00:39:10,840 --> 00:39:13,200
Speaker 3: people saying it's coming from the writer not understanding what's

831
00:39:13,200 --> 00:39:18,680
Speaker 3: happening here. Barry Weiss is a basically traditional center left Zionist.

832
00:39:18,920 --> 00:39:21,960
Speaker 3: That's what it has coded right wing very recently, but

833
00:39:22,239 --> 00:39:25,120
Speaker 3: is actually a very explicit and comfortable part of the

834
00:39:25,200 --> 00:39:29,160
Speaker 3: American elite elite. What she has done very expertly is

835
00:39:29,320 --> 00:39:32,400
Speaker 3: tell extremely rich people what they want to hear. So

836
00:39:32,680 --> 00:39:36,040
Speaker 3: and everyone needs to really stick with this because what

837
00:39:36,320 --> 00:39:39,839
Speaker 3: happened with the pole Barry wise saga is she got

838
00:39:40,000 --> 00:39:42,600
Speaker 3: what according to her, forced out of The New York

839
00:39:42,640 --> 00:39:43,799
Speaker 3: Times or whatever.

840
00:39:43,640 --> 00:39:46,440
Speaker 1: For speaking up against wokeism.

841
00:39:46,760 --> 00:39:49,960
Speaker 3: But the reality of her career is going to where

842
00:39:50,080 --> 00:39:52,080
Speaker 3: the power is, so you have to give her some

843
00:39:52,239 --> 00:39:57,080
Speaker 3: political entrepreneurial credit. She identified remember the IDW, the intellectual

844
00:39:57,200 --> 00:39:59,920
Speaker 3: dark web of Rogan and Eric Weinstein and Sam Harris

845
00:40:00,160 --> 00:40:02,279
Speaker 3: and all these people. She writes the Big Piece, which

846
00:40:02,360 --> 00:40:05,200
Speaker 3: coins the term in The New York Times. She cozies

847
00:40:05,320 --> 00:40:07,799
Speaker 3: up to them to go on Rogan into the podcasters

848
00:40:07,840 --> 00:40:10,760
Speaker 3: because she can see this alternative system kind of rising.

849
00:40:10,920 --> 00:40:13,200
Speaker 3: Of course, her Rogan episode becomes one of the most

850
00:40:13,320 --> 00:40:17,000
Speaker 3: viral disastrous moments in history, with the whole Tulsa Gabbert

851
00:40:17,040 --> 00:40:20,920
Speaker 3: Toady remark, which has millions upon millions of views on YouTube,

852
00:40:20,960 --> 00:40:23,080
Speaker 3: far more, I think than the entire free press channel

853
00:40:23,520 --> 00:40:25,600
Speaker 3: combine just putting that out there if you haven't seen it.

854
00:40:25,960 --> 00:40:28,680
Speaker 3: But the point is is that at every moment, it's

855
00:40:28,800 --> 00:40:31,520
Speaker 3: all about zeroing in on what can I do. So

856
00:40:31,680 --> 00:40:35,040
Speaker 3: when it was very in vogue to be pro free

857
00:40:35,160 --> 00:40:38,640
Speaker 3: speech or to code pro free speech, that's what she does.

858
00:40:39,120 --> 00:40:41,680
Speaker 1: Then she focuses on the free press.

859
00:40:41,800 --> 00:40:46,399
Speaker 3: The free press itself is basically anti woke leftism, which

860
00:40:46,640 --> 00:40:50,239
Speaker 3: is the ideology of the super elite, which is you

861
00:40:50,360 --> 00:40:53,840
Speaker 3: have these people are like the technology industry in particular,

862
00:40:53,880 --> 00:40:55,560
Speaker 3: by the way, who all invested in the free press,

863
00:40:55,760 --> 00:40:57,600
Speaker 3: not because they thought it was a good investment, but

864
00:40:57,719 --> 00:40:58,520
Speaker 3: because it was an.

865
00:40:58,400 --> 00:41:00,480
Speaker 1: Ideological project for them.

866
00:41:00,800 --> 00:41:03,839
Speaker 3: They're like socially liberal and all of that, but they

867
00:41:03,960 --> 00:41:07,480
Speaker 3: just really hate, you know, either wokeism or they want

868
00:41:07,560 --> 00:41:09,440
Speaker 3: to be able to stand up for i don't know,

869
00:41:09,640 --> 00:41:11,840
Speaker 3: like a better New York Times opinion page.

870
00:41:11,960 --> 00:41:14,360
Speaker 1: Like they think that that is the greatest thing. That

871
00:41:14,600 --> 00:41:15,000
Speaker 1: is the thing.

872
00:41:15,080 --> 00:41:17,840
Speaker 3: And that's where the quote punching down really starts to

873
00:41:17,880 --> 00:41:20,239
Speaker 3: come from. It's not even really down, it's just not

874
00:41:20,440 --> 00:41:23,200
Speaker 3: at the top. And that's how you ingratiate yourself. And

875
00:41:23,320 --> 00:41:26,479
Speaker 3: look at her career since the Free Press. She moved

876
00:41:26,480 --> 00:41:27,240
Speaker 3: to Los Angeles.

877
00:41:27,320 --> 00:41:28,040
Speaker 1: This is very key.

878
00:41:28,400 --> 00:41:30,960
Speaker 3: She gets her name dropped in a Curb Your Enthusiasm

879
00:41:31,040 --> 00:41:34,640
Speaker 3: episode because she's Larry David really likes Barry Wise. She

880
00:41:34,840 --> 00:41:37,520
Speaker 3: was at the Bezos wedding. The way that this entire

881
00:41:37,640 --> 00:41:40,080
Speaker 3: thing even came about is that what did she do?

882
00:41:40,560 --> 00:41:44,000
Speaker 3: She ingratiated herself with the Ellison family, who, of course,

883
00:41:44,080 --> 00:41:48,120
Speaker 3: this is like the classic example of you know, Larry Ellison.

884
00:41:47,960 --> 00:41:50,799
Speaker 1: Socially liberal, physically conservative.

885
00:41:50,400 --> 00:41:53,880
Speaker 3: Loves guys like Tim Scott in the Republican Party, and

886
00:41:54,040 --> 00:41:56,520
Speaker 3: of course mega Zionist him and his son.

887
00:41:56,840 --> 00:41:57,600
Speaker 1: She courts him.

888
00:41:57,800 --> 00:42:00,680
Speaker 3: He brings her to the Allen Company meading right, which

889
00:42:00,719 --> 00:42:03,719
Speaker 3: is like the famous meeting or of the confab of

890
00:42:03,840 --> 00:42:07,399
Speaker 3: the global super elite rich. And that's where this whole

891
00:42:07,480 --> 00:42:10,799
Speaker 3: deal gets broken. The Bezos thing, like I mentioned, it's

892
00:42:10,960 --> 00:42:13,799
Speaker 3: all about ingratiating yourself to the people who are at

893
00:42:13,840 --> 00:42:16,240
Speaker 3: the very very top. And what they all got annoyed

894
00:42:16,280 --> 00:42:20,000
Speaker 3: about was wokeism, and particularly they got annoyed by journalism

895
00:42:20,200 --> 00:42:22,160
Speaker 3: which would challenge them. Now, a lot of that journalism

896
00:42:22,239 --> 00:42:24,239
Speaker 3: was actually very annoying and stupid, like you just talked

897
00:42:24,280 --> 00:42:27,200
Speaker 3: about the Halloween costume or some woke bullshit about how

898
00:42:27,440 --> 00:42:31,360
Speaker 3: Mark Zuckerberg stole the election for Donald Trump because of

899
00:42:31,480 --> 00:42:35,120
Speaker 3: Cambridge analytics, of totally fake story. But that radicalized a

900
00:42:35,160 --> 00:42:38,439
Speaker 3: lot of the tech elite to be able to bry

901
00:42:38,520 --> 00:42:42,680
Speaker 3: into a critique of journalism, which doesn't really, though, actually

902
00:42:42,760 --> 00:42:46,359
Speaker 3: get to the fundamental critique, because the critique originally, let's say,

903
00:42:46,360 --> 00:42:48,800
Speaker 3: of the Zuckerberg thing, is you're focusing all this Cambridge

904
00:42:48,840 --> 00:42:51,000
Speaker 3: analytica and you're trying to control the censorship machine, but

905
00:42:51,080 --> 00:42:53,560
Speaker 3: you're not actually focusing on the censorship machine itself or

906
00:42:53,880 --> 00:42:57,200
Speaker 3: the conglomeration and the massive amounts of power. She has

907
00:42:57,320 --> 00:43:01,560
Speaker 3: never once actually challenged anything powerful in the entire term

908
00:43:01,840 --> 00:43:05,000
Speaker 3: of the free press except for basically going after critics

909
00:43:05,040 --> 00:43:09,040
Speaker 3: of Israel, and then you supercharge October seventh on top

910
00:43:09,080 --> 00:43:11,359
Speaker 3: of that. There is no world where this gets bought

911
00:43:11,400 --> 00:43:13,480
Speaker 3: for one hundred and fifty million after October seven or

912
00:43:13,520 --> 00:43:14,399
Speaker 3: before October seven.

913
00:43:14,560 --> 00:43:15,200
Speaker 1: It doesn't happen.

914
00:43:15,480 --> 00:43:17,160
Speaker 3: Why because at the end of the day, this whole

915
00:43:17,200 --> 00:43:21,600
Speaker 3: anti woke oh publishing like vague critiques of the COVID regime.

916
00:43:21,719 --> 00:43:23,719
Speaker 1: I'm like, I'm sorry, this is milktet shit.

917
00:43:23,840 --> 00:43:26,400
Speaker 3: Ind the days of the Internet, it's not courageous to

918
00:43:26,600 --> 00:43:30,080
Speaker 3: publish a guy who said, oh, mask mandates were stupid. Right,

919
00:43:30,160 --> 00:43:32,800
Speaker 3: people on YouTube have been saying this stuff for years.

920
00:43:33,160 --> 00:43:35,719
Speaker 3: What it's really all about is about trying to try

921
00:43:35,719 --> 00:43:39,399
Speaker 3: in some middle ground where it's kind of critiquing people

922
00:43:39,480 --> 00:43:44,240
Speaker 3: in power and it's supposedly subversive because it's vaguely points

923
00:43:44,280 --> 00:43:47,080
Speaker 3: and winks at some of the independent eras of the Internet,

924
00:43:47,280 --> 00:43:49,680
Speaker 3: and then kind of washing it together to make it

925
00:43:49,800 --> 00:43:50,839
Speaker 3: more respectable.

926
00:43:51,440 --> 00:43:52,920
Speaker 1: October seventh poured.

927
00:43:52,719 --> 00:43:55,279
Speaker 3: Gasoline on that, because, as I just said, when you

928
00:43:55,400 --> 00:43:58,239
Speaker 3: cozy up to the people in power, you fundamentally become

929
00:43:58,360 --> 00:44:00,920
Speaker 3: kind of an arm of their interests, and in particular,

930
00:44:01,080 --> 00:44:04,399
Speaker 3: a lot of the tech elite who backed her also

931
00:44:04,520 --> 00:44:07,480
Speaker 3: happened to be mega Zionists themselves, and that's also a

932
00:44:07,560 --> 00:44:09,839
Speaker 3: project which has been core to her conception since her

933
00:44:10,080 --> 00:44:13,800
Speaker 3: very beginning in politics. And you marry that with again,

934
00:44:14,160 --> 00:44:17,120
Speaker 3: she speaks the language of the elite, and of course

935
00:44:17,280 --> 00:44:20,200
Speaker 3: is mega pro Israel, and so can use her like

936
00:44:20,400 --> 00:44:25,160
Speaker 3: veneer of respectability to turn murdering mass amounts of Palestinian

937
00:44:25,280 --> 00:44:28,520
Speaker 3: children into an intellectually defensible cause, like that's what the

938
00:44:28,760 --> 00:44:31,560
Speaker 3: entire thing is about. That's her real value. Well that

939
00:44:32,280 --> 00:44:34,919
Speaker 3: yes and no, because at the same time, it's still

940
00:44:35,160 --> 00:44:39,200
Speaker 3: so important for these mega tech titans and others who

941
00:44:39,360 --> 00:44:41,920
Speaker 3: back her to also have her serve as like a

942
00:44:42,040 --> 00:44:46,640
Speaker 3: punching bag or a puncher to all of their ideological opponents.

943
00:44:47,640 --> 00:44:50,759
Speaker 2: Part of what happened and why, I mean, I'm a

944
00:44:50,800 --> 00:44:53,799
Speaker 2: little confused by characterizing her politically. I mean, they threw

945
00:44:53,880 --> 00:44:56,560
Speaker 2: like an inauguration party for Donald Trump. They hired Batia,

946
00:44:56,640 --> 00:44:59,680
Speaker 2: they hired Abigail Schreyer, who's like, you know, the anti translated,

947
00:44:59,760 --> 00:45:06,319
Speaker 2: like they've clearly you know, that's what and they've done that, Okay,

948
00:45:06,360 --> 00:45:10,800
Speaker 2: but they've done a lot of work in the sphere

949
00:45:11,120 --> 00:45:16,080
Speaker 2: of questioning transgenderism. I guess we'll say something that is

950
00:45:16,200 --> 00:45:19,880
Speaker 2: right wing. I mean it is right wing. But in

951
00:45:19,960 --> 00:45:23,360
Speaker 2: any case, she three press really comes out of this

952
00:45:23,719 --> 00:45:26,920
Speaker 2: like sense of all these kids on college campuses are

953
00:45:27,080 --> 00:45:29,640
Speaker 2: going too crazy. And to your point about the alignment

954
00:45:29,719 --> 00:45:32,080
Speaker 2: with like the tech oligarchs, they were pissed off at

955
00:45:32,120 --> 00:45:34,920
Speaker 2: their own employees for being like annoying on a variety

956
00:45:34,960 --> 00:45:38,760
Speaker 2: of issues and wanting to you know, wanting to wanting

957
00:45:38,800 --> 00:45:40,840
Speaker 2: to castigate them and have it yeah, pronins in the

958
00:45:40,880 --> 00:45:42,440
Speaker 2: bi like all that sort of stuff. And so that's

959
00:45:42,480 --> 00:45:47,080
Speaker 2: why she's really part of this tech elite shift to

960
00:45:47,320 --> 00:45:50,880
Speaker 2: the right on cultural issues in particular, and that is

961
00:45:50,920 --> 00:45:54,200
Speaker 2: the role that she served for them. And then in

962
00:45:54,320 --> 00:45:58,760
Speaker 2: addition to this, you know, her most consistent principle throughout

963
00:45:58,840 --> 00:46:01,279
Speaker 2: her career, even starting when she was in college, is

964
00:46:01,320 --> 00:46:04,680
Speaker 2: like commitment to Israel and cancelation on behalf of Israel.

965
00:46:04,760 --> 00:46:07,000
Speaker 2: You know, this is the same lady who was all

966
00:46:07,080 --> 00:46:09,520
Speaker 2: in on, oh, work against wokeness, we're against cancel culture

967
00:46:09,640 --> 00:46:11,680
Speaker 2: until it comes to Israel, and then she totally flips

968
00:46:11,680 --> 00:46:14,000
Speaker 2: on a dime. So that's why I say, you know,

969
00:46:14,120 --> 00:46:17,759
Speaker 2: the the real benefit if we zoom out of the

970
00:46:17,840 --> 00:46:21,040
Speaker 2: free press and Barry Weiss's approach to quote unquote journalism

971
00:46:21,440 --> 00:46:23,279
Speaker 2: is that you're never going to have to worry that

972
00:46:23,520 --> 00:46:26,799
Speaker 2: actual centers of power are going to be challenged, whether

973
00:46:26,920 --> 00:46:29,359
Speaker 2: that is, you know, with regard to Israel, that's regard

974
00:46:29,400 --> 00:46:32,120
Speaker 2: to tech elite, whether that's in regard to concentrations of capital.

975
00:46:32,400 --> 00:46:34,399
Speaker 2: That is not what she's going to focus on. That's

976
00:46:34,480 --> 00:46:37,000
Speaker 2: not what her project is going to ultimately be. And

977
00:46:37,160 --> 00:46:38,640
Speaker 2: so that's what you're getting for that.

978
00:46:38,719 --> 00:46:40,839
Speaker 3: The reason why I wouldn't describe her as right wing.

979
00:46:40,880 --> 00:46:43,640
Speaker 3: And she's also one of the people to punch, you know, explicitly.

980
00:46:43,760 --> 00:46:47,279
Speaker 3: Let's say, you know, anybody, anybody talking about immigration, right

981
00:46:47,520 --> 00:46:49,759
Speaker 3: she's one of the one of those people who would

982
00:46:49,800 --> 00:46:51,520
Speaker 3: happily punch Biden on the border.

983
00:46:51,560 --> 00:46:53,120
Speaker 1: But she'd be like, oh, but some of this stuff

984
00:46:53,239 --> 00:46:54,560
Speaker 1: is just going way too far.

985
00:46:54,680 --> 00:46:55,480
Speaker 2: Can you agree with that?

986
00:46:55,880 --> 00:46:58,960
Speaker 3: But you're talking about ice, I'm talking about like actual

987
00:46:59,040 --> 00:47:01,400
Speaker 3: calling for restrictions. And she's always trying to kind of

988
00:47:01,440 --> 00:47:04,720
Speaker 3: control and she's basically trying to gate keep.

989
00:47:04,760 --> 00:47:05,560
Speaker 1: A lot of the right wing.

990
00:47:05,640 --> 00:47:07,160
Speaker 3: I'm not trying to do that, by the way, you know,

991
00:47:07,440 --> 00:47:09,960
Speaker 3: And one of the things is is that she uses

992
00:47:10,120 --> 00:47:13,440
Speaker 3: a lot of this kind of concern trolling around norms

993
00:47:13,520 --> 00:47:17,120
Speaker 3: and the establishment, etc. To explicitly push a very neo

994
00:47:17,200 --> 00:47:20,960
Speaker 3: conservative agenda both on Israel and on Iran. That's why,

995
00:47:21,120 --> 00:47:23,799
Speaker 3: you know, the neoliberals themselves Baries a perfect example pro

996
00:47:23,960 --> 00:47:27,680
Speaker 3: Israel supposedly right wing. I mean, look, I'm not bringing

997
00:47:27,719 --> 00:47:29,960
Speaker 3: her personal life into this to denigrate her. I'm saying

998
00:47:30,000 --> 00:47:32,160
Speaker 3: she is personally at lesbian right. And so this is

999
00:47:32,200 --> 00:47:35,120
Speaker 3: somebody who I at least I'm assuming as some socially

1000
00:47:35,200 --> 00:47:39,360
Speaker 3: liberal values right and traditionally has been quote of the

1001
00:47:39,480 --> 00:47:42,160
Speaker 3: left by her own admission. The only reason it codes

1002
00:47:42,239 --> 00:47:45,160
Speaker 3: right today for a variety of culture war reasons. But

1003
00:47:45,640 --> 00:47:47,680
Speaker 3: what a lot of people who kind of share my

1004
00:47:47,800 --> 00:47:51,440
Speaker 3: politics is really view that as a takeover of what

1005
00:47:51,600 --> 00:47:54,239
Speaker 3: a lot of more populist energy really was, you know,

1006
00:47:54,400 --> 00:47:56,840
Speaker 3: in the American right wing. And so really what we

1007
00:47:56,960 --> 00:47:59,480
Speaker 3: have seen is kind of this sane oligarch or this

1008
00:47:59,680 --> 00:48:02,919
Speaker 3: like bonis oligarch washing and trying to turn themselves into

1009
00:48:03,000 --> 00:48:05,520
Speaker 3: like the true prop up of the Trump agenda, or

1010
00:48:05,640 --> 00:48:08,719
Speaker 3: even anything that even resembles what the issue set was

1011
00:48:08,800 --> 00:48:10,479
Speaker 3: for a lot of people to even trump back Trump

1012
00:48:10,520 --> 00:48:13,080
Speaker 3: in twenty sixteen and again here, But all of it

1013
00:48:13,160 --> 00:48:16,600
Speaker 3: does come back to basically being a social staple of

1014
00:48:16,680 --> 00:48:19,760
Speaker 3: the world super elite and being their go to person.

1015
00:48:19,960 --> 00:48:23,440
Speaker 3: Van Jones is another example. Like you have a variety

1016
00:48:23,480 --> 00:48:25,480
Speaker 3: of these types of characters. I would say Bill Maher

1017
00:48:25,560 --> 00:48:27,200
Speaker 3: is one of them, although I guess he does have

1018
00:48:27,280 --> 00:48:28,000
Speaker 3: his own audience.

1019
00:48:28,320 --> 00:48:30,000
Speaker 1: Van Jones, Barry Weisse.

1020
00:48:30,000 --> 00:48:33,440
Speaker 3: I'm trying to think of if Thomas Friedman, Tyler Cowen,

1021
00:48:33,440 --> 00:48:35,720
Speaker 3: who will get to here in a little bit. Guys

1022
00:48:35,719 --> 00:48:39,960
Speaker 3: who are just absolutely beloved by somebody with a net

1023
00:48:40,040 --> 00:48:42,759
Speaker 3: worth somewhere around five billion and up. I will never

1024
00:48:42,880 --> 00:48:44,960
Speaker 3: understand it, but it's one of those things that really

1025
00:48:45,080 --> 00:48:47,880
Speaker 3: speaks to them. And that's why, you know, the Zionism

1026
00:48:48,000 --> 00:48:49,680
Speaker 3: is a big part of it, but it's not really

1027
00:48:49,760 --> 00:48:52,320
Speaker 3: the whole story, because it really is is about like

1028
00:48:52,880 --> 00:48:56,800
Speaker 3: ingratiating yourself with very powerful people, telling them exactly what

1029
00:48:56,960 --> 00:48:58,920
Speaker 3: they want to hear, and then kind of doing their

1030
00:48:58,960 --> 00:49:01,080
Speaker 3: bidding and setting up so that you get a world

1031
00:49:01,239 --> 00:49:03,759
Speaker 3: historic payday from one of the richest men's son in

1032
00:49:03,800 --> 00:49:05,800
Speaker 3: the world. Yeah, right, and from David Elson. That's what

1033
00:49:05,840 --> 00:49:08,720
Speaker 3: it's about. And that's actually why it's a grift because

1034
00:49:08,800 --> 00:49:10,160
Speaker 3: you can see I was pro.

1035
00:49:10,239 --> 00:49:11,319
Speaker 2: Free speed, that's the one.

1036
00:49:11,360 --> 00:49:13,279
Speaker 3: Then I was, of course, Yeah, I love being called

1037
00:49:13,280 --> 00:49:15,480
Speaker 3: a grifter. I'm like, oh, really, who's the grifter? The

1038
00:49:15,600 --> 00:49:17,799
Speaker 3: lady who sets this thing up and sells it off

1039
00:49:17,840 --> 00:49:19,879
Speaker 3: for one hundred and fifty million, one of the most

1040
00:49:19,920 --> 00:49:23,200
Speaker 3: bullshit valuations in media history, or the guy who's out

1041
00:49:23,239 --> 00:49:26,040
Speaker 3: here begging people for ten dollars a month on YouTube.

1042
00:49:26,400 --> 00:49:28,080
Speaker 1: Okay, all right, that's not tough.

1043
00:49:28,239 --> 00:49:31,239
Speaker 3: And I didn't, you know, unlike the Free Press, who

1044
00:49:31,320 --> 00:49:34,120
Speaker 3: supposedly has all these great business thing they spent so

1045
00:49:34,360 --> 00:49:36,920
Speaker 3: much money trying to get people to sign up for

1046
00:49:37,120 --> 00:49:40,960
Speaker 3: their subscription program. I you know, because Peace Guy is

1047
00:49:41,040 --> 00:49:43,760
Speaker 3: a publicly traded company, I would love to see their financials,

1048
00:49:43,840 --> 00:49:46,959
Speaker 3: like the actual real financials. Yeah, the amount of money

1049
00:49:47,000 --> 00:49:49,719
Speaker 3: put in the burn and whether they were making any

1050
00:49:49,840 --> 00:49:50,400
Speaker 3: money at all.

1051
00:49:50,440 --> 00:49:51,920
Speaker 1: I would be willing to bet it was in the

1052
00:49:52,000 --> 00:49:53,800
Speaker 1: red whenever they bought it. But I mean it doesn't

1053
00:49:53,800 --> 00:49:55,239
Speaker 1: matter because some idiot will buy it.

1054
00:49:55,360 --> 00:49:57,920
Speaker 2: But yeah, there you go. Well, Zitao has some reporting

1055
00:49:58,040 --> 00:50:00,400
Speaker 2: B three we can put up on the screen. As

1056
00:50:00,480 --> 00:50:04,520
Speaker 2: you might suspect, CBS News insiders are like what the

1057
00:50:04,600 --> 00:50:07,960
Speaker 2: fuck is going on here? And very leary of what

1058
00:50:08,200 --> 00:50:09,880
Speaker 2: is to come. And by the way, just so you know,

1059
00:50:09,960 --> 00:50:11,759
Speaker 2: we're not speculating of a B four up on this

1060
00:50:11,880 --> 00:50:15,480
Speaker 2: green Glenn Greenwold highlighted this Haret's article. He says, Israeli

1061
00:50:15,520 --> 00:50:18,440
Speaker 2: newspaper Howrettes understands what's happening and why Barry Wise appointed

1062
00:50:18,560 --> 00:50:21,520
Speaker 2: editor in chief of CBS News. And then the subhead says,

1063
00:50:21,600 --> 00:50:24,440
Speaker 2: weis is a staunch supporter of Israel, and her journalism

1064
00:50:24,560 --> 00:50:28,359
Speaker 2: often circles back to her Jewish identity. You know, it's

1065
00:50:28,480 --> 00:50:33,640
Speaker 2: not speculation that a big part of the tumult at

1066
00:50:33,719 --> 00:50:37,120
Speaker 2: CBS has to do with Israel in particular. We know,

1067
00:50:37,239 --> 00:50:40,640
Speaker 2: in regard to sixty minutes, they did an actually like

1068
00:50:40,800 --> 00:50:43,879
Speaker 2: really great piece on Goz. It was belated, et cetera,

1069
00:50:43,920 --> 00:50:46,640
Speaker 2: but they did it. And apparently Sherry Redstone's very upset

1070
00:50:46,680 --> 00:50:49,560
Speaker 2: about this, like this was a significant and this is

1071
00:50:49,640 --> 00:50:53,000
Speaker 2: reported on part of what they were upset with in

1072
00:50:53,120 --> 00:50:56,279
Speaker 2: terms of the direction of CBS. So Barry is brought

1073
00:50:56,360 --> 00:51:00,160
Speaker 2: in to correct the course in their view of, you know,

1074
00:51:00,200 --> 00:51:02,279
Speaker 2: the direction they're having. And here's you know, to get

1075
00:51:02,280 --> 00:51:03,800
Speaker 2: back to what Zcger and I were saying about, what

1076
00:51:03,960 --> 00:51:05,440
Speaker 2: is the free press? What have they been up to.

1077
00:51:05,800 --> 00:51:07,880
Speaker 2: I mean, here's some examples of what they were up to,

1078
00:51:08,000 --> 00:51:11,000
Speaker 2: can be five up on the screen. They did this

1079
00:51:11,360 --> 00:51:15,200
Speaker 2: piece called the Gaza famine myth. They did the piece

1080
00:51:15,239 --> 00:51:18,520
Speaker 2: about how, oh well, really, you know these kids that

1081
00:51:18,800 --> 00:51:22,560
Speaker 2: the media is portraying as starving to death, well, really

1082
00:51:22,640 --> 00:51:25,040
Speaker 2: they have these other conditions. So it's not fair to

1083
00:51:25,120 --> 00:51:27,080
Speaker 2: say that Israel is starving them because they have these

1084
00:51:27,160 --> 00:51:30,080
Speaker 2: pre existing conditions. First of all, there are plenty of

1085
00:51:30,200 --> 00:51:33,879
Speaker 2: other kids who have been highlighted or literally died from

1086
00:51:33,960 --> 00:51:36,680
Speaker 2: starvation that don't fit that model. Second of all, it

1087
00:51:36,800 --> 00:51:40,120
Speaker 2: is no revelation, of course whatsoever that people who are vulnerable,

1088
00:51:40,160 --> 00:51:42,440
Speaker 2: who have pre existing conditions are going to be the

1089
00:51:42,520 --> 00:51:46,680
Speaker 2: ones who are most vulnerable in a state imposed famine.

1090
00:51:46,880 --> 00:51:48,880
Speaker 2: So that's the type of work that they have been

1091
00:51:48,960 --> 00:51:51,200
Speaker 2: doing on behalf of the Zionis project.

1092
00:51:51,280 --> 00:51:54,200
Speaker 3: Yeah, and that's just and see, that's what was a

1093
00:51:54,239 --> 00:51:56,320
Speaker 3: big part of the value proposition. And I'm not a

1094
00:51:56,440 --> 00:51:58,920
Speaker 3: huge defender of CBS News. They've published a lot of

1095
00:51:59,000 --> 00:52:01,520
Speaker 3: stupid shit over the years. By the way, one of

1096
00:52:01,560 --> 00:52:04,239
Speaker 3: the things I hate most about the network news thing

1097
00:52:04,520 --> 00:52:07,279
Speaker 3: is that they get all kinds of preferential treatment and

1098
00:52:07,440 --> 00:52:10,520
Speaker 3: ad rates that prop up their failing business. I wish

1099
00:52:10,560 --> 00:52:12,560
Speaker 3: they would be able to compete with us on a

1100
00:52:12,680 --> 00:52:14,840
Speaker 3: normal market, but we also wanted to pull some of

1101
00:52:14,880 --> 00:52:17,520
Speaker 3: the non Israel stuff that these people are buying. This

1102
00:52:17,680 --> 00:52:20,759
Speaker 3: is the compelling content that will now be available to

1103
00:52:20,880 --> 00:52:23,439
Speaker 3: the entire nation by a network news.

1104
00:52:23,719 --> 00:52:24,640
Speaker 1: Let's take a listen.

1105
00:52:24,719 --> 00:52:26,960
Speaker 9: Thinnyboard day and broke how a generation of men eat.

1106
00:52:27,040 --> 00:52:29,080
Speaker 9: The culture of personality he left in his wake is

1107
00:52:29,160 --> 00:52:31,640
Speaker 9: frankly and sufferable. A lot of what we're seeing in

1108
00:52:32,040 --> 00:52:35,920
Speaker 9: food culture chef culture today has its roots in the

1109
00:52:36,080 --> 00:52:39,840
Speaker 9: type of eating and journalism Anthony Bourdain did. Bourdanes treated

1110
00:52:40,040 --> 00:52:42,719
Speaker 9: ordering soup like a search and rescue mission, and now

1111
00:52:42,960 --> 00:52:46,080
Speaker 9: every man thinks they have to splunk into some cave

1112
00:52:46,360 --> 00:52:48,360
Speaker 9: in order to get a bull of phu, and unless

1113
00:52:48,400 --> 00:52:50,799
Speaker 9: they do, they're not really having dinner. Everyone just needs

1114
00:52:50,840 --> 00:52:54,720
Speaker 9: to calm down, take a step back, enjoy the slice

1115
00:52:54,719 --> 00:52:56,280
Speaker 9: of pizza or burger you're eating.

1116
00:52:56,480 --> 00:52:57,160
Speaker 2: It's not that deep.

1117
00:52:58,840 --> 00:53:00,879
Speaker 1: It's not that deep, says Barry's sister.

1118
00:53:01,080 --> 00:53:04,360
Speaker 3: They're in her compelling cultural content. That's some of the

1119
00:53:04,440 --> 00:53:06,719
Speaker 3: stuff that you're missing out on if you haven't been

1120
00:53:07,040 --> 00:53:08,400
Speaker 3: a Free Press subscriber.

1121
00:53:08,480 --> 00:53:11,040
Speaker 2: Her fifty million dollar value right there, that's.

1122
00:53:10,920 --> 00:53:12,600
Speaker 1: Your one hundred value.

1123
00:53:12,840 --> 00:53:16,560
Speaker 3: We also have a great one here from our friend Griffin,

1124
00:53:16,600 --> 00:53:18,560
Speaker 3: who has flagged this. Let's put B eight up here

1125
00:53:18,960 --> 00:53:22,360
Speaker 3: on the screen. This is about Tyler Cowen, who I

1126
00:53:22,480 --> 00:53:26,120
Speaker 3: mentioned writing about how his favorite actress is not human.

1127
00:53:26,480 --> 00:53:30,360
Speaker 3: Tillie Norwood doesn't need a hairstylist, has no regrettable tweets,

1128
00:53:30,400 --> 00:53:33,440
Speaker 3: And if you wish to see a virgin on screen,

1129
00:53:33,920 --> 00:53:37,879
Speaker 3: this is one of your better chances. That's because she's

1130
00:53:37,960 --> 00:53:39,360
Speaker 3: Ai rights.

1131
00:53:39,440 --> 00:53:42,200
Speaker 2: If you wish to see a virgin on screen.

1132
00:53:43,440 --> 00:53:45,239
Speaker 1: Okay, okay, right.

1133
00:53:47,360 --> 00:53:47,800
Speaker 2: Interesting.

1134
00:53:48,040 --> 00:53:53,800
Speaker 1: Interesting, that's what the great journalism over at Free Press is.

1135
00:53:53,880 --> 00:53:54,640
Speaker 1: And then finally this is.

1136
00:53:55,000 --> 00:53:56,640
Speaker 2: I have to say it was pretty fearless for them

1137
00:53:56,719 --> 00:53:57,680
Speaker 2: to publish that.

1138
00:53:57,960 --> 00:54:01,920
Speaker 3: I guess, yeah, certainly fearless. Indeed, this is one of

1139
00:54:01,960 --> 00:54:04,080
Speaker 3: my other favorites. We've talked a lot about Olivia Ryan

1140
00:54:04,080 --> 00:54:06,879
Speaker 3: Gold here. She's the lady who wrote that past about

1141
00:54:07,160 --> 00:54:09,239
Speaker 3: friend of the show, who, by the way, you all know,

1142
00:54:09,360 --> 00:54:12,160
Speaker 3: obsessively watches the show because it's one of those people

1143
00:54:12,200 --> 00:54:14,759
Speaker 3: that google's her own name and her Google alerts sept

1144
00:54:14,800 --> 00:54:17,480
Speaker 3: for them, and so Olivia is one of the is

1145
00:54:17,520 --> 00:54:20,160
Speaker 3: she's the woman who wrote that piece about the Gaza

1146
00:54:20,560 --> 00:54:24,560
Speaker 3: starvation myth right at the Gaza, about how all of

1147
00:54:24,640 --> 00:54:27,120
Speaker 3: the children who were used in photos were had pre

1148
00:54:27,239 --> 00:54:30,120
Speaker 3: existing conditions. That was her thing as to why people

1149
00:54:30,160 --> 00:54:32,560
Speaker 3: in Gaza weren't actually starving. I just want to give

1150
00:54:32,600 --> 00:54:35,160
Speaker 3: everyone to a view of the psychopathology of some of

1151
00:54:35,239 --> 00:54:39,320
Speaker 3: the people here. This is a multi essay tweet that

1152
00:54:39,480 --> 00:54:43,640
Speaker 3: Olivia put out around the time that she joined the

1153
00:54:43,719 --> 00:54:47,880
Speaker 3: Free Press January twenty five about how being half Jewish

1154
00:54:47,920 --> 00:54:51,120
Speaker 3: has been the most painful experience of her entire life.

1155
00:54:51,760 --> 00:54:56,160
Speaker 1: And she goes on and on and on about the absolute.

1156
00:54:55,800 --> 00:54:59,480
Speaker 3: Pain of being half Jewish and not being considered Jewish

1157
00:54:59,600 --> 00:55:03,160
Speaker 3: enough to be Jewish by some American Jews and broad

1158
00:55:03,239 --> 00:55:07,800
Speaker 3: Mitzwing and the convert, etc. And how eventual her journey

1159
00:55:08,080 --> 00:55:10,080
Speaker 3: you know, to the religion. This isn't to make fun

1160
00:55:10,200 --> 00:55:13,120
Speaker 3: of somebody's religious journey. It's only to show you the

1161
00:55:13,200 --> 00:55:16,680
Speaker 3: psychopathology again of the type of individual who gets hired

1162
00:55:17,040 --> 00:55:19,759
Speaker 3: over at the Free Press, because I looked into Ryan

1163
00:55:19,800 --> 00:55:22,680
Speaker 3: Gold's career and again this is the journalistic standard that

1164
00:55:22,840 --> 00:55:25,719
Speaker 3: is now happening over at at CBS News.

1165
00:55:26,000 --> 00:55:27,160
Speaker 1: This is going to be the editor in chief.

1166
00:55:27,640 --> 00:55:31,879
Speaker 3: Olivia Ryan Gold was the podcast producer for Matt Iglesias.

1167
00:55:32,160 --> 00:55:35,799
Speaker 3: She was a podcast producer over at Politico. Had never

1168
00:55:35,880 --> 00:55:38,640
Speaker 3: written in her bio on the Free Press. It makes

1169
00:55:38,680 --> 00:55:41,359
Speaker 3: it seem like she came from Politico. She never wrote

1170
00:55:41,360 --> 00:55:44,120
Speaker 3: a fucking story, not one, all right, And so I'm

1171
00:55:44,160 --> 00:55:47,040
Speaker 3: looking through and look not to shame podcast producers. Our

1172
00:55:47,120 --> 00:55:49,440
Speaker 3: podcast producer is great. I'm sure he'd be doing a

1173
00:55:49,520 --> 00:55:52,160
Speaker 3: lot better job than her. But I bet you if

1174
00:55:52,200 --> 00:55:54,960
Speaker 3: he were hired somebody else, let's say Griffin or macwhire,

1175
00:55:55,000 --> 00:55:56,759
Speaker 3: somewhere else, they would not try and play it off

1176
00:55:56,800 --> 00:55:59,319
Speaker 3: as if they were here, Like let's say hosting the show.

1177
00:55:59,680 --> 00:56:03,920
Speaker 3: I said, Griffin's case the show, So it's like they

1178
00:56:04,080 --> 00:56:07,080
Speaker 3: were genuinely more qualified. And then she comes over and

1179
00:56:07,320 --> 00:56:10,720
Speaker 3: is like, I left Politico because of their horrible journalists.

1180
00:56:10,800 --> 00:56:13,000
Speaker 1: I'm like, bitch, you never wrote a story. What are

1181
00:56:13,000 --> 00:56:14,120
Speaker 1: we doing I'm talking about here?

1182
00:56:14,320 --> 00:56:16,440
Speaker 3: You don't even written a byeline, and now you're some

1183
00:56:16,600 --> 00:56:20,080
Speaker 3: Gaza famine expert. She's the same lady who who did

1184
00:56:20,160 --> 00:56:22,759
Speaker 3: the thing where she's like, I read every single one

1185
00:56:22,800 --> 00:56:25,960
Speaker 3: of Zoran mom Donnie's what was it? Thirty thousand tweets

1186
00:56:26,280 --> 00:56:28,920
Speaker 3: it's called journalism. Again, no wonder this way you think

1187
00:56:29,000 --> 00:56:31,359
Speaker 3: journalism is you never had a real journalism job.

1188
00:56:31,600 --> 00:56:34,200
Speaker 1: What are we talking about? So that's the standard.

1189
00:56:34,320 --> 00:56:36,920
Speaker 3: So if you can painfully tweet about your journey of

1190
00:56:37,000 --> 00:56:41,279
Speaker 3: being half Jewish and like like emotionally trying to put

1191
00:56:41,320 --> 00:56:43,480
Speaker 3: this out there as some weird I don't even know

1192
00:56:43,560 --> 00:56:45,960
Speaker 3: what the hell was going on with that. And then

1193
00:56:46,120 --> 00:56:49,560
Speaker 3: also recently went to the Columbia Journalism bookstore and was like,

1194
00:56:49,640 --> 00:56:51,759
Speaker 3: they're selling Korans and.

1195
00:56:51,760 --> 00:56:54,920
Speaker 1: People were like, it's on the syllabus.

1196
00:56:55,080 --> 00:56:57,279
Speaker 2: Yeah, and she showed the other books that we're about,

1197
00:56:57,320 --> 00:56:59,320
Speaker 2: like I don't know, slavery or something. Oh my gosh,

1198
00:56:59,400 --> 00:57:03,200
Speaker 2: can you believe that students at Columbia are getting educated

1199
00:57:03,280 --> 00:57:04,560
Speaker 2: on world religion? Like? What?

1200
00:57:04,960 --> 00:57:05,120
Speaker 4: Yes?

1201
00:57:05,400 --> 00:57:07,000
Speaker 1: Shocker, absolute shocker.

1202
00:57:07,120 --> 00:57:07,239
Speaker 4: You know.

1203
00:57:07,320 --> 00:57:09,400
Speaker 3: The funny thing is people actually looked at the University

1204
00:57:09,440 --> 00:57:13,040
Speaker 3: of Austin, which is that whole Barry Weiss's disaster, the

1205
00:57:13,120 --> 00:57:14,320
Speaker 3: anti woke university.

1206
00:57:14,480 --> 00:57:15,920
Speaker 1: They have the Koran on their cyllabus.

1207
00:57:16,160 --> 00:57:19,600
Speaker 3: Okay, so yeah, it's like, well, Barry's university thinks the

1208
00:57:19,680 --> 00:57:22,680
Speaker 3: Koran is worth teaching, but according to Olivia, it's not.

1209
00:57:22,920 --> 00:57:24,800
Speaker 3: This is the standards of what is now going to

1210
00:57:24,840 --> 00:57:28,400
Speaker 3: be acceptable over at CBS. And what's even crazier is

1211
00:57:28,480 --> 00:57:31,560
Speaker 3: that Barry will report directly to David Ellison, just to

1212
00:57:31,600 --> 00:57:33,959
Speaker 3: make sure everybody knows what this whole thing is about.

1213
00:57:34,000 --> 00:57:36,640
Speaker 3: The new editor in chief is reporting directly to the

1214
00:57:36,720 --> 00:57:39,960
Speaker 3: owner of the entire company. And the reason why is

1215
00:57:40,040 --> 00:57:42,840
Speaker 3: because it all needs to come back to, you know,

1216
00:57:43,360 --> 00:57:45,520
Speaker 3: what he thinks is important, not only for his own

1217
00:57:45,520 --> 00:57:46,080
Speaker 3: bottom line.

1218
00:57:46,280 --> 00:57:47,760
Speaker 1: It couldn't be more obvious well.

1219
00:57:49,200 --> 00:57:52,000
Speaker 2: CBS News, for anybody that isn't like totally ever line

1220
00:57:52,080 --> 00:57:52,240
Speaker 2: that he.

1221
00:57:52,320 --> 00:57:54,480
Speaker 3: Wont Yeah, look again, I'm not defending CBS. I think

1222
00:57:54,520 --> 00:57:56,640
Speaker 3: they've published a lot of stupid shit over the years.

1223
00:57:56,720 --> 00:57:59,880
Speaker 3: I'm not saying they weren't anyway, some great, amazing journal

1224
00:58:00,080 --> 00:58:01,080
Speaker 3: stick institution.

1225
00:58:01,600 --> 00:58:02,560
Speaker 1: But the question pretty good.

1226
00:58:02,600 --> 00:58:05,560
Speaker 3: No, yeah, that's not all sixty minutes, right, Yeah, there's

1227
00:58:05,560 --> 00:58:06,560
Speaker 3: a lot of other people who work.

1228
00:58:06,680 --> 00:58:08,320
Speaker 2: Yeah, I know, but I'm just saying I like to

1229
00:58:08,400 --> 00:58:10,320
Speaker 2: defend some of the work that they were doing. They've

1230
00:58:10,320 --> 00:58:11,800
Speaker 2: done some point, it's just that you can make it

1231
00:58:11,840 --> 00:58:13,040
Speaker 2: a lot worse exactly.

1232
00:58:13,120 --> 00:58:15,000
Speaker 3: So my point is, if you wanted to fix it,

1233
00:58:15,320 --> 00:58:17,240
Speaker 3: is this how you would fix it? Because that's their

1234
00:58:17,360 --> 00:58:20,160
Speaker 3: theory is that the theory of what's gone wrong apparently

1235
00:58:20,240 --> 00:58:23,560
Speaker 3: over at CBS is that it's not pro Israel enough,

1236
00:58:23,720 --> 00:58:26,280
Speaker 3: even though the previous owner literally was one of the

1237
00:58:26,320 --> 00:58:29,960
Speaker 3: most has said since selling it that being pro Israel

1238
00:58:30,040 --> 00:58:31,600
Speaker 3: is like one of the most important things to her

1239
00:58:31,960 --> 00:58:35,120
Speaker 3: and to promoting the cause of Zionism. And you put

1240
00:58:35,160 --> 00:58:37,760
Speaker 3: it all together, and in particular also with the way

1241
00:58:37,840 --> 00:58:40,600
Speaker 3: this entire merger all went down, where do you think

1242
00:58:40,640 --> 00:58:42,640
Speaker 3: things are going to go? Yeah, so you have a

1243
00:58:42,720 --> 00:58:45,920
Speaker 3: preview there. Who she likes to hire her own relatives

1244
00:58:46,240 --> 00:58:51,080
Speaker 3: to produce some Anthony Bourdet style slop content. Olivia Ryan Gould,

1245
00:58:51,240 --> 00:58:54,480
Speaker 3: who never apparently had written a real story before it's

1246
00:58:54,560 --> 00:58:57,880
Speaker 3: joining over at the Free Press, and Tyler Cowen to

1247
00:58:57,960 --> 00:58:59,360
Speaker 3: talk about virgin Ai.

1248
00:58:59,480 --> 00:59:04,200
Speaker 2: Bagdad Okay, different things that are indefensible for the Trump regime,

1249
00:59:04,320 --> 00:59:06,160
Speaker 2: got it? Yeah, I mean I think there also is

1250
00:59:06,240 --> 00:59:08,800
Speaker 2: one other element, which is we talked about this a

1251
00:59:08,840 --> 00:59:12,680
Speaker 2: little bit with Brilin Hollyhand. I think she also because

1252
00:59:12,720 --> 00:59:15,240
Speaker 2: she's below the age of sixty, there's all and she

1253
00:59:15,680 --> 00:59:18,440
Speaker 2: you know, has an Internet thing that there's also this

1254
00:59:18,560 --> 00:59:21,600
Speaker 2: sense of like she'll help us bring back the young people, right,

1255
00:59:21,880 --> 00:59:25,600
Speaker 2: But it's what she the role she serves, is is

1256
00:59:25,720 --> 00:59:28,560
Speaker 2: like convincing older people that she has some finger on

1257
00:59:28,640 --> 00:59:30,240
Speaker 2: the pulse of young people, even though.

1258
00:59:30,200 --> 00:59:32,800
Speaker 1: That's also definitely true. Yeah, very very very true.

1259
00:59:33,160 --> 00:59:36,160
Speaker 3: So anyway, that is our long take there. It's it's Zionism,

1260
00:59:36,320 --> 00:59:39,479
Speaker 3: it's power, it's capital. It's about telling very rich people

1261
00:59:39,600 --> 00:59:41,360
Speaker 3: exactly what they want to hear, and it is a

1262
00:59:41,560 --> 00:59:45,520
Speaker 3: great way to get paid. So I guess congratulations, congratulations

1263
00:59:45,560 --> 00:59:48,360
Speaker 3: to all of them and to everybody else who has this.

1264
00:59:48,600 --> 00:59:51,000
Speaker 3: You know, CBS this morning and all that stuff in

1265
00:59:51,080 --> 00:59:53,000
Speaker 3: your house. Now you know where a lot of it

1266
00:59:53,120 --> 00:59:55,040
Speaker 3: is coming from. Yeah, let's get to ventis for the channel.

1267
00:59:57,840 --> 01:00:01,320
Speaker 3: Turning now to Venezuela. Absolutely massive news here from the

1268
01:00:01,320 --> 01:00:03,000
Speaker 3: New York Times. Going to put this up here on

1269
01:00:03,360 --> 01:00:06,680
Speaker 3: the screen. Quote Trump has now called off all diplomatic

1270
01:00:06,760 --> 01:00:09,560
Speaker 3: outreach to Venezuela. The move paves the way for a

1271
01:00:09,640 --> 01:00:13,040
Speaker 3: possible military escalation against drug traffickers or the government of

1272
01:00:13,160 --> 01:00:16,600
Speaker 3: Nicholas Maduro. So I'm going to read portions of this

1273
01:00:16,920 --> 01:00:19,520
Speaker 3: just so everybody understands how batshit crazy it all is.

1274
01:00:19,920 --> 01:00:23,280
Speaker 3: Quote President Trump has called off efforts to reach diplomatic

1275
01:00:23,400 --> 01:00:27,360
Speaker 3: agreement with Venezuela. Rick Grennell who had been leading negotiations

1276
01:00:27,440 --> 01:00:30,200
Speaker 3: with Maduro and other top Venezuelan officials, but during a

1277
01:00:30,280 --> 01:00:34,000
Speaker 3: meeting with senior military leaders on Thursday, Trump called Grennell

1278
01:00:34,080 --> 01:00:37,760
Speaker 3: and instructed him all diplomatic outreach, including talks with Madureau,

1279
01:00:38,120 --> 01:00:42,560
Speaker 3: is to stop. Trump has grown frustrated with Maduro's failure

1280
01:00:42,840 --> 01:00:47,200
Speaker 3: to accede to American demands to give up power voluntarily

1281
01:00:47,760 --> 01:00:51,480
Speaker 3: and continued insistent by Venezuelan officials that they have no

1282
01:00:51,640 --> 01:00:55,080
Speaker 3: part in drug trafficking. American officials have said the Trump

1283
01:00:55,080 --> 01:00:58,520
Speaker 3: administration has now drawn up multiple military plans for escalation.

1284
01:00:58,880 --> 01:01:02,120
Speaker 3: Those operations could also include plans to force mister Maduro

1285
01:01:02,400 --> 01:01:05,560
Speaker 3: from power. Marco Rubio, the Secretary of State, has called

1286
01:01:05,640 --> 01:01:09,760
Speaker 3: Maduro quote an illegitimate leader and repeatedly cited US indictment

1287
01:01:09,840 --> 01:01:12,400
Speaker 3: of him on drug trafficking charges.

1288
01:01:13,520 --> 01:01:16,440
Speaker 1: This is insane, This is completely Did you read that.

1289
01:01:16,480 --> 01:01:20,880
Speaker 3: Headline, Yeah, the paragraph said mister Trump has grown frustrated

1290
01:01:20,880 --> 01:01:24,240
Speaker 3: at Maduro's decision not to accede to demands to stop

1291
01:01:24,320 --> 01:01:25,000
Speaker 3: down from power.

1292
01:01:25,360 --> 01:01:25,400
Speaker 1: What.

1293
01:01:26,040 --> 01:01:28,400
Speaker 3: Yeah, So we're just calling me like, hey, you gotta go, man,

1294
01:01:28,760 --> 01:01:30,920
Speaker 3: and he's like no, and they're like okay, Fine, We're

1295
01:01:30,960 --> 01:01:31,560
Speaker 3: just gonna.

1296
01:01:31,480 --> 01:01:32,160
Speaker 1: Force you out.

1297
01:01:32,360 --> 01:01:36,480
Speaker 3: Why because allegedly you're involved in drug trafficking. I mean, look, maybe,

1298
01:01:36,640 --> 01:01:38,360
Speaker 3: but at the end of the day, in terms of

1299
01:01:38,400 --> 01:01:40,520
Speaker 3: the whole drug trafficking thing, as we have covered here

1300
01:01:40,840 --> 01:01:41,560
Speaker 3: on the show.

1301
01:01:41,560 --> 01:01:43,840
Speaker 1: It's like seven percent of all the cocaine in the

1302
01:01:43,960 --> 01:01:45,720
Speaker 1: United States. It's nothing.

1303
01:01:46,120 --> 01:01:47,800
Speaker 3: You want to look at a government complicit in cocaine

1304
01:01:47,800 --> 01:01:50,640
Speaker 3: trafficking is called Mexico. Do we do anything about it? No,

1305
01:01:50,840 --> 01:01:53,080
Speaker 3: because the number one trading partner with the US, and

1306
01:01:53,120 --> 01:01:54,040
Speaker 3: it's got a big problem.

1307
01:01:54,160 --> 01:01:56,240
Speaker 2: All right, you want to look at a government complicit

1308
01:01:56,240 --> 01:01:59,720
Speaker 2: in drug trafficking, look at ourselves and talk to Seth

1309
01:01:59,760 --> 01:02:03,000
Speaker 2: Hart about the war and again stand, okay, we're going

1310
01:02:03,040 --> 01:02:06,000
Speaker 2: to be super real here. No, I mean I I

1311
01:02:06,400 --> 01:02:09,480
Speaker 2: it's I think people can't wrap their heads around how

1312
01:02:09,560 --> 01:02:11,680
Speaker 2: crazy this is because they just can't accept that this

1313
01:02:11,840 --> 01:02:14,720
Speaker 2: is actually happening. But it really is happening. All of

1314
01:02:14,840 --> 01:02:17,760
Speaker 2: the you know, attacks on these boats that they tell

1315
01:02:17,840 --> 01:02:20,720
Speaker 2: us are drug smugglers, but there's they offer zero evidence

1316
01:02:20,800 --> 01:02:22,920
Speaker 2: of that. And oh, by the way, the widow of

1317
01:02:23,040 --> 01:02:24,480
Speaker 2: one of the people that was murdered on one of

1318
01:02:24,520 --> 01:02:27,240
Speaker 2: these Venezuela boats says he was just a fisherman.

1319
01:02:28,240 --> 01:02:31,600
Speaker 1: So and maybe she's lying. Nobody knows, Yeah, but they there's.

1320
01:02:31,560 --> 01:02:33,920
Speaker 2: No reason to trust this government, right, And we know,

1321
01:02:34,240 --> 01:02:36,400
Speaker 2: as you've pointed out, as you know, a statistics show

1322
01:02:36,520 --> 01:02:39,800
Speaker 2: like that would be very unlikely that a boat would

1323
01:02:39,800 --> 01:02:43,160
Speaker 2: be coming from Venezuela with drugs. That's just not really

1324
01:02:43,240 --> 01:02:45,920
Speaker 2: the way that the drug trafficking goes. Do some drugs

1325
01:02:45,960 --> 01:02:48,560
Speaker 2: transit through Venezuela? Yes, do they get put on these

1326
01:02:48,720 --> 01:02:51,280
Speaker 2: small boats with eleven people on them, by the way,

1327
01:02:51,320 --> 01:02:54,000
Speaker 2: as one of them was very very very unlikely. In

1328
01:02:54,040 --> 01:02:57,360
Speaker 2: any case, all of this is a build up to

1329
01:02:57,720 --> 01:03:00,560
Speaker 2: a regime change war. You have Marco rum in there,

1330
01:03:00,560 --> 01:03:03,760
Speaker 2: who's been horny for this war for forever. So that's

1331
01:03:04,240 --> 01:03:07,240
Speaker 2: a major part of this. You have Trump, and I

1332
01:03:07,320 --> 01:03:10,680
Speaker 2: want people to understand this too. This isn't just about Venezuela.

1333
01:03:10,960 --> 01:03:15,480
Speaker 2: Trump's efforts to classify drug traffickers as terrorists and as

1334
01:03:15,720 --> 01:03:19,440
Speaker 2: enemy combatants. Obviously, they are drug traffickers here in the US.

1335
01:03:19,840 --> 01:03:21,800
Speaker 2: And so if you are saying this is we are

1336
01:03:21,920 --> 01:03:24,400
Speaker 2: at war with these people and these are enemy combatants,

1337
01:03:24,680 --> 01:03:26,920
Speaker 2: guess what then, Yeah, you don't have to go through

1338
01:03:27,000 --> 01:03:29,200
Speaker 2: due process. You just can murder them and say, oh, well,

1339
01:03:29,240 --> 01:03:32,240
Speaker 2: they were terrorists, drug trafficker, enemies of the state. So

1340
01:03:32,800 --> 01:03:36,440
Speaker 2: it opens up Pandora's box in terms of the power

1341
01:03:36,560 --> 01:03:39,920
Speaker 2: of this administration not to mention the way they are

1342
01:03:40,200 --> 01:03:42,920
Speaker 2: very clearly. I mean, this is the most clear indication

1343
01:03:43,280 --> 01:03:46,360
Speaker 2: that they're marching us along the path to a direct

1344
01:03:46,640 --> 01:03:47,600
Speaker 2: regime change effort.

1345
01:03:47,640 --> 01:03:49,960
Speaker 3: Here and no people, I mean, look credits to the

1346
01:03:50,000 --> 01:03:52,360
Speaker 3: times they broke the story. Although I will say, having

1347
01:03:52,600 --> 01:03:54,280
Speaker 3: dealt with some of the stuff in the past, let's

1348
01:03:54,360 --> 01:03:57,440
Speaker 3: just say that a lot of people who are against

1349
01:03:57,520 --> 01:04:00,400
Speaker 3: this are going to be leaking like hell against Marco Rubio.

1350
01:04:00,880 --> 01:04:04,000
Speaker 3: I know some of the interpersonal dynamics that are involved here.

1351
01:04:04,280 --> 01:04:07,320
Speaker 3: Rubio himself is the most powerful White House official. This

1352
01:04:07,360 --> 01:04:09,160
Speaker 3: is where I want to stick on and this is

1353
01:04:09,240 --> 01:04:12,480
Speaker 3: the danger and you can roll. I talked about Venezuela

1354
01:04:12,600 --> 01:04:15,560
Speaker 3: exactly whenever he was appointed. I was like, guys, this

1355
01:04:15,720 --> 01:04:18,560
Speaker 3: is dangerous because the cope I got was he's changed

1356
01:04:18,600 --> 01:04:21,959
Speaker 3: his tools in Ukraine, he's changed his tune. And I go, yeah, maybe,

1357
01:04:22,200 --> 01:04:24,920
Speaker 3: but what about the issue areas what Trump doesn't care about,

1358
01:04:25,120 --> 01:04:26,120
Speaker 3: like Venezuela.

1359
01:04:26,360 --> 01:04:28,480
Speaker 1: I actually think I said that on Alex Friedman podcast.

1360
01:04:29,040 --> 01:04:30,440
Speaker 1: Here we are now here. Today.

1361
01:04:30,600 --> 01:04:33,120
Speaker 3: Trump doesn't care about Venezuela to the extent that he did.

1362
01:04:33,320 --> 01:04:35,520
Speaker 3: He cares about some win against the drug traffickers. So

1363
01:04:35,680 --> 01:04:39,240
Speaker 3: Rubio dresses up something about how it's actually Maduro is

1364
01:04:39,280 --> 01:04:41,960
Speaker 3: involved in drug trafficking, and Trump is like, yeah, okay,

1365
01:04:42,200 --> 01:04:44,760
Speaker 3: let's go right. And now he's like, oh, yeah, we've

1366
01:04:44,800 --> 01:04:47,480
Speaker 3: got to have a win down there, and he somehow

1367
01:04:47,560 --> 01:04:50,760
Speaker 3: convinced himself that knocking Maduro out of power is going

1368
01:04:50,840 --> 01:04:53,680
Speaker 3: to be some grand, amazing thing that can be very

1369
01:04:53,760 --> 01:04:57,680
Speaker 3: easily done, apparently by the United States military. This is

1370
01:04:58,000 --> 01:05:02,520
Speaker 3: a fantasy. Remember, Ruby himself and the entire South Florida

1371
01:05:02,880 --> 01:05:06,400
Speaker 3: community has been obsessed with Venezuela for their own personal,

1372
01:05:06,480 --> 01:05:09,480
Speaker 3: expatriate reasons. That is the only reason, all right, not

1373
01:05:09,640 --> 01:05:12,320
Speaker 3: for the rest of us. It's like the old Cuba politics,

1374
01:05:12,360 --> 01:05:16,480
Speaker 3: except now applied to Venezuela. Those people have been salivating

1375
01:05:16,560 --> 01:05:19,800
Speaker 3: over regime change in Venezuela now four years. And what

1376
01:05:19,960 --> 01:05:22,720
Speaker 3: they have done is that the representative Marco Rubio, who

1377
01:05:22,840 --> 01:05:27,120
Speaker 3: previously tweeted a picture of Maduro next to Mohammar Gaddafi,

1378
01:05:27,600 --> 01:05:31,320
Speaker 3: is that they explicitly want violent US backed regime change,

1379
01:05:31,440 --> 01:05:33,080
Speaker 3: which of course is only going to make Maduro do

1380
01:05:33,160 --> 01:05:33,760
Speaker 3: what dig In.

1381
01:05:33,880 --> 01:05:35,560
Speaker 1: Wouldn't you if that's what happened to you.

1382
01:05:35,960 --> 01:05:38,720
Speaker 3: And this is the context of all of these strikes,

1383
01:05:38,960 --> 01:05:40,760
Speaker 3: because none of it makes any sense if you're thinking

1384
01:05:40,760 --> 01:05:43,960
Speaker 3: about drug trafficking. If you're going to strike a drug cartel,

1385
01:05:44,160 --> 01:05:47,280
Speaker 3: they're all in Mexico, They're all in Colombia. Ninety three

1386
01:05:47,400 --> 01:05:49,400
Speaker 3: percent of all it comes from there. You want to

1387
01:05:49,400 --> 01:05:52,280
Speaker 3: talk about fentanyl, it's all coming from China transitting via

1388
01:05:52,280 --> 01:05:54,760
Speaker 3: in Mexico. The DEA estimates one hundred percent of all

1389
01:05:54,760 --> 01:05:56,840
Speaker 3: fentanyl that enters the United States comes from Mexico. One

1390
01:05:57,080 --> 01:05:59,200
Speaker 3: hundred percent comes from Mexico.

1391
01:05:58,840 --> 01:06:01,479
Speaker 2: By the way, to actual trafficker, like the people carry

1392
01:06:01,480 --> 01:06:04,440
Speaker 2: it across the border, most of them are American citizens by.

1393
01:06:04,320 --> 01:06:06,840
Speaker 1: The way, Yes, many are America. Yeah, I mean, I'm

1394
01:06:06,840 --> 01:06:07,360
Speaker 1: not denying that.

1395
01:06:07,400 --> 01:06:09,840
Speaker 3: At a work for the drug cartels, yes, all right,

1396
01:06:09,880 --> 01:06:12,920
Speaker 3: but we're talking about the individuals where the individual people.

1397
01:06:13,040 --> 01:06:15,040
Speaker 3: The way I understand that it usually works now is

1398
01:06:15,080 --> 01:06:17,000
Speaker 3: that the drug cartels will bring it to the border

1399
01:06:17,080 --> 01:06:18,560
Speaker 3: and they don't want to deal with it in America,

1400
01:06:18,600 --> 01:06:21,400
Speaker 3: and so they tell the American criminal organizations, you come across,

1401
01:06:21,720 --> 01:06:23,680
Speaker 3: you get it, and you drive across the border. We

1402
01:06:23,840 --> 01:06:26,080
Speaker 3: own Mexico. We don't need to worry about problems here.

1403
01:06:26,280 --> 01:06:28,600
Speaker 3: But your government is your own problem, right, So that's

1404
01:06:28,640 --> 01:06:32,320
Speaker 3: broadly what the story is. It's obviously a multifaceted issue

1405
01:06:32,360 --> 01:06:35,000
Speaker 3: of which we could actually do something about if we

1406
01:06:35,040 --> 01:06:37,040
Speaker 3: wanted to. But that's a separate conversation because it has

1407
01:06:37,080 --> 01:06:40,520
Speaker 3: nothing to do with Venezuela. What's happening in Venezuela is

1408
01:06:40,640 --> 01:06:43,880
Speaker 3: like this neo con fever dream where they've whipped themselves

1409
01:06:44,000 --> 01:06:47,200
Speaker 3: up into demanding this guy step down for power.

1410
01:06:47,280 --> 01:06:53,480
Speaker 1: For what what possible purpose? Who cares? Who rules Venezuela? Nobody.

1411
01:06:54,000 --> 01:06:55,880
Speaker 1: You can't even really say that this is about.

1412
01:06:55,680 --> 01:06:57,840
Speaker 3: Oil now at this point, although it wouldn't be a

1413
01:06:57,880 --> 01:06:59,680
Speaker 3: bad idea to buy it from him either if we

1414
01:06:59,760 --> 01:07:00,560
Speaker 3: got something out of it.

1415
01:07:00,640 --> 01:07:02,560
Speaker 1: Let's say it with a migrant deal or something.

1416
01:07:02,680 --> 01:07:05,680
Speaker 2: Yeah, I mean there were previous negotiations, yeah about it's

1417
01:07:05,680 --> 01:07:08,280
Speaker 2: a great deal. And the other thing about this is,

1418
01:07:08,360 --> 01:07:10,760
Speaker 2: let's say they get their fondest dream and you know,

1419
01:07:11,200 --> 01:07:14,920
Speaker 2: they get their GOODAFI situation, Like, how did that go

1420
01:07:15,040 --> 01:07:17,800
Speaker 2: for Libya exactly? How will that go for Venezuela. You

1421
01:07:17,920 --> 01:07:20,120
Speaker 2: people are supposed to be opposed to you know, refugees,

1422
01:07:20,320 --> 01:07:23,080
Speaker 2: like how many migrants? What kind of a migrant crisis

1423
01:07:23,240 --> 01:07:25,240
Speaker 2: is that going to create? I mean, it's just insane.

1424
01:07:25,280 --> 01:07:27,560
Speaker 2: Why do you want a failed state? Why do you

1425
01:07:27,600 --> 01:07:29,680
Speaker 2: want a failed state? But that is exactly what they're

1426
01:07:29,680 --> 01:07:32,320
Speaker 2: gunning for thing here, and I think it also you know,

1427
01:07:32,480 --> 01:07:34,560
Speaker 2: I can't get into Trump's head, but number one, I

1428
01:07:34,600 --> 01:07:37,880
Speaker 2: think there's a boomer Cold war mentality. Number two, they

1429
01:07:38,000 --> 01:07:40,400
Speaker 2: tried a regime change thing in his first administration with

1430
01:07:40,440 --> 01:07:42,560
Speaker 2: the whole one Guido situation, and then there was some

1431
01:07:42,760 --> 01:07:44,760
Speaker 2: like former Navy seal that turned up there that they

1432
01:07:44,840 --> 01:07:47,000
Speaker 2: claimed they had nothing to do with, but it appears

1433
01:07:47,040 --> 01:07:50,240
Speaker 2: that they may have also been funding or supporting some

1434
01:07:50,520 --> 01:07:52,880
Speaker 2: sort of you know, former special ops to go in

1435
01:07:53,000 --> 01:07:55,880
Speaker 2: and actually actively try. There was some evidence to support that,

1436
01:07:56,040 --> 01:07:59,360
Speaker 2: to actively try, and that didn't work. So I think

1437
01:07:59,400 --> 01:08:01,480
Speaker 2: there's also the sense of like, oh I failed the

1438
01:08:01,480 --> 01:08:03,360
Speaker 2: first time, I got to get him back, like I

1439
01:08:03,440 --> 01:08:05,560
Speaker 2: got to prevail this time around. That comes from Trump

1440
01:08:05,960 --> 01:08:09,160
Speaker 2: fed by Marco Rubio. And then obviously Trump likes the

1441
01:08:09,760 --> 01:08:12,920
Speaker 2: power and control from just being able to say this

1442
01:08:13,040 --> 01:08:15,520
Speaker 2: person's a drug trafficker, so I can just murder them

1443
01:08:15,640 --> 01:08:19,240
Speaker 2: because they're an enemy combatant. Let's put C one up

1444
01:08:19,320 --> 01:08:22,000
Speaker 2: on the screen which talks about this aspect of it

1445
01:08:22,080 --> 01:08:24,439
Speaker 2: in particular, which people really need to again sit with

1446
01:08:24,840 --> 01:08:28,600
Speaker 2: Trump determines just Trump by himself, not in consultation with

1447
01:08:29,320 --> 01:08:31,639
Speaker 2: the Congress. Certainly, the US is now in a war

1448
01:08:32,200 --> 01:08:36,519
Speaker 2: with drug cartels and the informed Congress of this. And

1449
01:08:37,520 --> 01:08:39,880
Speaker 2: let me read a little bit of what he says here.

1450
01:08:39,960 --> 01:08:42,360
Speaker 2: They say, mister Trump's move to formally deem his campaign

1451
01:08:42,360 --> 01:08:45,200
Speaker 2: against drunk cartels as an active arm conflict means he

1452
01:08:45,320 --> 01:08:49,520
Speaker 2: is cementing his claim to extraordinary wartime powers legal specialists.

1453
01:08:49,520 --> 01:08:52,400
Speaker 2: Set in an armed conflict, as defined by international law,

1454
01:08:52,520 --> 01:08:56,120
Speaker 2: a country can lawfully kill enemy fighters even when they

1455
01:08:56,200 --> 01:09:00,680
Speaker 2: post no threat, detain them indefinitely without trials, and prosecute

1456
01:09:00,720 --> 01:09:03,960
Speaker 2: them in military courts. The focus, they say, of the

1457
01:09:03,960 --> 01:09:06,920
Speaker 2: administration's attacks has been boats from Venezuela. The surge of

1458
01:09:07,000 --> 01:09:09,960
Speaker 2: overdose debts in recent years been driven by fentanel, which

1459
01:09:10,080 --> 01:09:13,439
Speaker 2: drug trafficking experts say comes from Mexico, not South America.

1460
01:09:13,520 --> 01:09:16,040
Speaker 2: Beyond factual issues, the bare bones argument has been broadly

1461
01:09:16,120 --> 01:09:19,559
Speaker 2: criticized on legal grounds. Think about you know the way

1462
01:09:19,600 --> 01:09:22,360
Speaker 2: this normally works. They say, police arrest suspected drug dealers,

1463
01:09:22,360 --> 01:09:26,000
Speaker 2: it'd be a crime do instead summarily gun them down.

1464
01:09:26,280 --> 01:09:29,559
Speaker 2: But in an armed conflict, it is lawful to kill

1465
01:09:29,640 --> 01:09:32,599
Speaker 2: combatants for the opposing force on site. So that's why

1466
01:09:32,640 --> 01:09:34,720
Speaker 2: I say we need to focus on Venezuela and what's

1467
01:09:34,760 --> 01:09:39,360
Speaker 2: happening there. But this also gives Trump extraordinary lethal powers

1468
01:09:39,880 --> 01:09:43,240
Speaker 2: to use against anyone that the government claims is a

1469
01:09:43,360 --> 01:09:48,559
Speaker 2: suspected drug dealer and to summarily execute them without going

1470
01:09:48,640 --> 01:09:51,640
Speaker 2: through any sort of due process. Like that is the

1471
01:09:51,720 --> 01:09:53,720
Speaker 2: power that they are claiming right now, and to me,

1472
01:09:53,840 --> 01:09:55,200
Speaker 2: that is absolutely terrified.

1473
01:09:55,320 --> 01:09:57,160
Speaker 3: I'm also very afraid of is that would be the

1474
01:09:57,240 --> 01:09:59,600
Speaker 3: authority to assassinate Maduro as you could say he was

1475
01:09:59,640 --> 01:10:02,920
Speaker 3: a drug absolutely that that is where I'm like, yo,

1476
01:10:03,200 --> 01:10:07,640
Speaker 3: this could get wild, very very very quickly. Luckily, there

1477
01:10:07,680 --> 01:10:10,040
Speaker 3: are some voices that are speaking out and that are

1478
01:10:10,080 --> 01:10:12,439
Speaker 3: paying attention to this. Steve Bannon and them trying to

1479
01:10:12,479 --> 01:10:14,840
Speaker 3: put some pressure on the White House from the right

1480
01:10:14,920 --> 01:10:18,479
Speaker 3: saying hey enough, let's not do this, calling out Marco Rubio.

1481
01:10:18,720 --> 01:10:22,800
Speaker 4: Let's take a listen, little Marco, our secretary of State,

1482
01:10:22,880 --> 01:10:25,200
Speaker 4: who's we've tried to shift away from being a Neocon,

1483
01:10:25,320 --> 01:10:28,599
Speaker 4: I thought were there. He's got an amphibious ready group

1484
01:10:29,280 --> 01:10:31,960
Speaker 4: off the coast of Venezuela and they're up on Capitol

1485
01:10:32,000 --> 01:10:34,560
Speaker 4: Hill pitching. And this is the first time that the

1486
01:10:34,600 --> 01:10:39,400
Speaker 4: Trump administration, I think, has ever acknowledged issues structural issues

1487
01:10:39,720 --> 01:10:41,920
Speaker 4: or customs and traditions. So they're trying to get ahead

1488
01:10:41,920 --> 01:10:44,360
Speaker 4: of the War Powers Act by saying no, no, no, no, no,

1489
01:10:44,720 --> 01:10:48,320
Speaker 4: you've misinterpreted. These are non state actors, these are drug dealers,

1490
01:10:48,840 --> 01:10:50,400
Speaker 4: and we're gonna do a lot more in just taking

1491
01:10:50,439 --> 01:10:53,400
Speaker 4: out these speedboats. The plan is, I think been leaked

1492
01:10:53,439 --> 01:10:55,760
Speaker 4: that they intend to or at least a plan is

1493
01:10:55,760 --> 01:10:59,040
Speaker 4: to tend to take over the ports and transportation nodes

1494
01:10:59,439 --> 01:11:00,840
Speaker 4: in an action invasion.

1495
01:11:01,600 --> 01:11:03,920
Speaker 1: Yeah. I mean, well said, he's exactly right about this

1496
01:11:04,080 --> 01:11:04,719
Speaker 1: huge empathy.

1497
01:11:04,760 --> 01:11:06,280
Speaker 3: And you know the thing is, and you know, I

1498
01:11:06,360 --> 01:11:08,599
Speaker 3: want to give Ryan credit, and you know, maybe two

1499
01:11:08,640 --> 01:11:11,560
Speaker 3: Dar's horn a little bit from the beginning when we

1500
01:11:11,720 --> 01:11:14,040
Speaker 3: saw that amphibious group, I was like, oh man, this

1501
01:11:14,160 --> 01:11:15,840
Speaker 3: is not about drugs, because you have to put it

1502
01:11:15,880 --> 01:11:18,240
Speaker 3: together with you have to have lived in Washington and

1503
01:11:18,720 --> 01:11:20,920
Speaker 3: seen and saw this stuff long enough to know the

1504
01:11:21,120 --> 01:11:23,559
Speaker 3: hard on that the neo cons still have for Latin

1505
01:11:23,600 --> 01:11:26,720
Speaker 3: America and they're obsessed with Venezuela.

1506
01:11:27,000 --> 01:11:30,120
Speaker 1: I will never understand it. Even israel I kind of

1507
01:11:30,160 --> 01:11:32,439
Speaker 1: get it. It's religious, right, Okay, I mean you can.

1508
01:11:33,080 --> 01:11:36,759
Speaker 3: You're not sympathize, but you can intellectually understand that Ukraine,

1509
01:11:36,840 --> 01:11:40,360
Speaker 3: same thing, NATO Russia Cold War and all the Venezuela

1510
01:11:40,720 --> 01:11:45,360
Speaker 3: Why what is this has no meaningful impact on us

1511
01:11:45,560 --> 01:11:49,400
Speaker 3: at all? And it's like they are just obsessed with it.

1512
01:11:49,680 --> 01:11:51,840
Speaker 3: To the point where as you said about the whole

1513
01:11:51,880 --> 01:11:55,120
Speaker 3: migrant crisis, I mean, part of the huge number of

1514
01:11:55,160 --> 01:11:58,320
Speaker 3: these people are Venezuelan, part of the because of the

1515
01:11:58,400 --> 01:12:00,960
Speaker 3: chaos down there. You want to create more chaos, right,

1516
01:12:01,080 --> 01:12:02,479
Speaker 3: But you said we're gonna create more chaos to have

1517
01:12:02,640 --> 01:12:05,679
Speaker 3: left chaos. How's that gonna work. No, we want stability

1518
01:12:05,720 --> 01:12:07,800
Speaker 3: in Venezuela. So you know, it'd be great if it

1519
01:12:07,840 --> 01:12:09,960
Speaker 3: came from a dureau. If not, whatever, that's our problem.

1520
01:12:10,160 --> 01:12:12,559
Speaker 3: It has nothing to do with us, and instead we're

1521
01:12:12,640 --> 01:12:16,400
Speaker 3: creating all this legal justification from the Trump thing to

1522
01:12:16,520 --> 01:12:18,040
Speaker 3: now this ending of diplomacy.

1523
01:12:18,200 --> 01:12:20,000
Speaker 1: Guys, let's put see five up here on the screen.

1524
01:12:20,080 --> 01:12:21,400
Speaker 1: This is again, this is scary as shit.

1525
01:12:21,720 --> 01:12:25,120
Speaker 3: This is from cash Mattel. He says, Maduro isn't just corrupt,

1526
01:12:25,400 --> 01:12:29,080
Speaker 3: he's an indicted narco terrorist with a fifty million dollar

1527
01:12:29,280 --> 01:12:33,559
Speaker 3: DOJ bounty. Under my leadership, the FBI is now checking

1528
01:12:33,640 --> 01:12:37,439
Speaker 3: off every dollar, every account, every enabler. America will never

1529
01:12:37,479 --> 01:12:40,799
Speaker 3: be a safe haven for his blood money. But remember

1530
01:12:41,120 --> 01:12:43,479
Speaker 3: here he's calling him narco terrorists, which fits with that

1531
01:12:43,640 --> 01:12:47,439
Speaker 3: debt legal definition which we learned earlier. Fifty million dollars

1532
01:12:47,520 --> 01:12:49,720
Speaker 3: DOJ bounty. Apparently they want to raise it to some

1533
01:12:49,840 --> 01:12:52,560
Speaker 3: one hundred million. They're basically trying to encourage what some

1534
01:12:52,680 --> 01:12:56,000
Speaker 3: sort of coup inside of the Venezuelan government, which again,

1535
01:12:56,200 --> 01:12:58,920
Speaker 3: like has is America even good enough at coups anymore?

1536
01:12:59,040 --> 01:12:59,479
Speaker 1: Not really?

1537
01:12:59,600 --> 01:13:01,280
Speaker 3: Like when's the last time we pulled off a coup

1538
01:13:01,920 --> 01:13:05,320
Speaker 3: exactly in Latin America that was apparently, you know, worked

1539
01:13:05,320 --> 01:13:05,720
Speaker 3: out well.

1540
01:13:05,800 --> 01:13:07,720
Speaker 1: I think it's been a long time. This is the

1541
01:13:07,800 --> 01:13:08,519
Speaker 1: nineteen seventies.

1542
01:13:08,720 --> 01:13:11,160
Speaker 3: So the point is just around all of this is

1543
01:13:11,280 --> 01:13:15,439
Speaker 3: it's a psychotic, insane, ideological plan. Trump is either too

1544
01:13:15,520 --> 01:13:18,600
Speaker 3: stupid or he knows exactly what's going on here, and

1545
01:13:19,160 --> 01:13:21,960
Speaker 3: that there is not there's no pressure from what I

1546
01:13:22,040 --> 01:13:25,080
Speaker 3: have seen from the ideological kind of anti war right,

1547
01:13:25,439 --> 01:13:28,160
Speaker 3: except from Steve Bannon and from Kurt Mills, who was

1548
01:13:28,240 --> 01:13:30,960
Speaker 3: played in that clip. And I think the reason is

1549
01:13:31,000 --> 01:13:34,200
Speaker 3: that they've been effectively bamboozled with this drug trafficking thing

1550
01:13:34,400 --> 01:13:36,600
Speaker 3: because it's like a fantasy, right, But we got to

1551
01:13:36,640 --> 01:13:37,600
Speaker 3: take it to the cartels.

1552
01:13:37,800 --> 01:13:39,280
Speaker 1: I think a lot of people want that. I want that,

1553
01:13:39,560 --> 01:13:42,719
Speaker 1: but we have to live in reality. Can we really

1554
01:13:43,040 --> 01:13:44,800
Speaker 1: just bomb Mexico? Not really?

1555
01:13:45,000 --> 01:13:47,679
Speaker 3: When it's the number one trading partner of the United States.

1556
01:13:47,960 --> 01:13:50,880
Speaker 3: It's a problem, right, what do you do? Do you

1557
01:13:50,920 --> 01:13:53,880
Speaker 3: want a nuke the US economy and NAFTA overnight all

1558
01:13:53,920 --> 01:13:56,360
Speaker 3: these trucks that come across the border. It's not a

1559
01:13:56,400 --> 01:13:59,360
Speaker 3: feasible solution. And then at the same time you have

1560
01:13:59,600 --> 01:14:01,240
Speaker 3: you know, oh, they killed all of us, and so

1561
01:14:01,320 --> 01:14:03,000
Speaker 3: they're trying to tie a fentanyl to it. That's what

1562
01:14:03,080 --> 01:14:05,439
Speaker 3: I immediately saw from a lot of the government is like,

1563
01:14:05,520 --> 01:14:07,599
Speaker 3: this is all about fentanyl. I'm like, this is literally

1564
01:14:07,680 --> 01:14:09,959
Speaker 3: a lot like there's no fensanyl that comes from Venezuela

1565
01:14:10,240 --> 01:14:12,840
Speaker 3: to the United States. None, zero, And you're trying to

1566
01:14:12,920 --> 01:14:15,360
Speaker 3: disguise like a regime change war. And so a lot

1567
01:14:15,400 --> 01:14:17,960
Speaker 3: of the more traditional anti war right is not up

1568
01:14:18,040 --> 01:14:20,719
Speaker 3: in arms about this because they actually buy the bullshit.

1569
01:14:20,760 --> 01:14:23,479
Speaker 3: They don't do their own research. You can only point

1570
01:14:23,520 --> 01:14:26,679
Speaker 3: to Bannon and ran Paul and then of course the media.

1571
01:14:27,160 --> 01:14:29,960
Speaker 3: I mean, this should be wall to wall shit, cutting

1572
01:14:30,040 --> 01:14:33,720
Speaker 3: off diplomacy, cutting off diplomacy with Maduro and saying we

1573
01:14:33,840 --> 01:14:37,040
Speaker 3: are actively considering regime change at the very same time.

1574
01:14:37,120 --> 01:14:39,720
Speaker 3: Do you have an entire amphibious naval assault group and

1575
01:14:39,800 --> 01:14:42,880
Speaker 3: we're bombing things in the Caribbean and international waters and

1576
01:14:42,920 --> 01:14:44,880
Speaker 3: you're telling you you need to be a genius the

1577
01:14:44,960 --> 01:14:47,280
Speaker 3: war or telling you that this is a war wake

1578
01:14:47,400 --> 01:14:49,960
Speaker 3: up like this is as close that we are possibly

1579
01:14:50,040 --> 01:14:52,400
Speaker 3: could be. And I actually think the lack of pressure

1580
01:14:52,720 --> 01:14:55,200
Speaker 3: makes it ten times more likely because at least they

1581
01:14:55,240 --> 01:14:59,439
Speaker 3: are somewhat receptive to online criticism. You can't deny that

1582
01:14:59,520 --> 01:15:03,000
Speaker 3: some of the a anti Israel, anti you know, Gaza

1583
01:15:03,800 --> 01:15:05,559
Speaker 3: or anti Israel like part of the right.

1584
01:15:05,479 --> 01:15:09,320
Speaker 2: Wing anti Iran strike and iron right, it did that engagement.

1585
01:15:09,520 --> 01:15:13,120
Speaker 1: Yeah. Look, obviously we were not successful on Ukraine. Same thing.

1586
01:15:13,240 --> 01:15:15,639
Speaker 1: I think some of the pushback had some impact.

1587
01:15:15,680 --> 01:15:17,840
Speaker 3: I have not gotten even ten percent of what I want,

1588
01:15:17,880 --> 01:15:20,240
Speaker 3: but I do think that kind of organizing a coalition

1589
01:15:20,520 --> 01:15:23,360
Speaker 3: being very loud, actually did something about this. Here there's

1590
01:15:23,439 --> 01:15:26,360
Speaker 3: nothing because everybody buys the drug trafficking shit, and that

1591
01:15:26,560 --> 01:15:29,760
Speaker 3: makes it that Plus the political constituency where does Trump

1592
01:15:29,840 --> 01:15:32,879
Speaker 3: live Crystal Florida? Right, who do you think is surrounded

1593
01:15:32,920 --> 01:15:34,000
Speaker 3: by down in Palm Beach?

1594
01:15:34,560 --> 01:15:36,400
Speaker 1: It's bad? Yeah, this is very bad.

1595
01:15:36,520 --> 01:15:37,880
Speaker 2: No, I think you're right. I think that, you know,

1596
01:15:38,000 --> 01:15:39,599
Speaker 2: people on the right just say like, oh, the boat

1597
01:15:39,640 --> 01:15:42,120
Speaker 2: went boom, cool, you know, like way to go based,

1598
01:15:42,280 --> 01:15:45,280
Speaker 2: and that's like as it's so, I mean, as you

1599
01:15:45,400 --> 01:15:49,200
Speaker 2: pointed out, they're literally announcing what they're doing here, and

1600
01:15:49,439 --> 01:15:52,320
Speaker 2: everyone's just pretending like this isn't happening. Trump made some

1601
01:15:52,360 --> 01:15:55,320
Speaker 2: pretty ominous comments to let's go ahead and play see eight.

1602
01:15:55,600 --> 01:15:57,760
Speaker 2: They're not coming in by sea anymore, so now we'll

1603
01:15:57,800 --> 01:16:01,040
Speaker 2: have to start looking about the Landau'll be forced to

1604
01:16:01,120 --> 01:16:03,120
Speaker 2: go by land. And let me tell you right now,

1605
01:16:03,200 --> 01:16:04,880
Speaker 2: that's not going to work out well for them either.

1606
01:16:05,320 --> 01:16:07,760
Speaker 2: So they're not coming by sea anymore. Now they're coming

1607
01:16:07,800 --> 01:16:09,559
Speaker 2: by land. So we'll have to look at the land.

1608
01:16:09,760 --> 01:16:11,639
Speaker 2: What does that mean? What does that mean?

1609
01:16:11,880 --> 01:16:11,920
Speaker 1: That?

1610
01:16:12,040 --> 01:16:14,040
Speaker 2: What kind of an expansion of Now who are you

1611
01:16:14,120 --> 01:16:17,000
Speaker 2: going to be drone striking, bombing and whatever? Where are

1612
01:16:17,040 --> 01:16:18,720
Speaker 2: they going to be What is that going to mean?

1613
01:16:18,800 --> 01:16:21,320
Speaker 3: Yeah, are we doing strikes inside of Venezuela again, Like

1614
01:16:21,600 --> 01:16:23,639
Speaker 3: you know, they keep floating this stuff in Mexico.

1615
01:16:23,800 --> 01:16:24,840
Speaker 1: I'll believe it when I see it.

1616
01:16:24,960 --> 01:16:27,400
Speaker 3: I just simply do not believe it will happen because

1617
01:16:27,439 --> 01:16:31,479
Speaker 3: of the geopolitical ramifications for trade. And look, Mexico is

1618
01:16:31,520 --> 01:16:34,400
Speaker 3: a democracy. I mean, shine bomb is very popular, and

1619
01:16:34,680 --> 01:16:36,519
Speaker 3: they have all kinds of corruption problems.

1620
01:16:36,560 --> 01:16:38,440
Speaker 1: I would never defend the Mexican government.

1621
01:16:38,240 --> 01:16:40,960
Speaker 3: But at the very least, like the one thing they

1622
01:16:41,000 --> 01:16:43,600
Speaker 3: are probably not going to tolerate, in my opinion, is

1623
01:16:43,840 --> 01:16:48,879
Speaker 3: literal bombing on their soil without the explicit, explicit permission

1624
01:16:48,880 --> 01:16:51,040
Speaker 3: of the Mexican government, which you and I is never going.

1625
01:16:50,960 --> 01:16:52,080
Speaker 1: To know is never going to happen.

1626
01:16:52,160 --> 01:16:55,280
Speaker 2: And she literally has like a ninety two perperating they're

1627
01:16:55,400 --> 01:16:56,360
Speaker 2: very united by exactly.

1628
01:16:56,360 --> 01:16:57,720
Speaker 3: And by the way, they're actually kind of working with

1629
01:16:57,840 --> 01:16:59,960
Speaker 3: us a little bit right now, not that it's actually

1630
01:17:00,080 --> 01:17:03,280
Speaker 3: doing anything. Apparently cocaine is importation is higher than ever,

1631
01:17:03,360 --> 01:17:05,960
Speaker 3: So yes, congratulations, these strikes are really doing a lot

1632
01:17:06,439 --> 01:17:09,080
Speaker 3: to actually stop the amount of cocaine coming into America.

1633
01:17:09,200 --> 01:17:10,840
Speaker 2: You know, there's another point to be made there too,

1634
01:17:10,920 --> 01:17:13,840
Speaker 2: which is that drug trafficking convictions are actually way down

1635
01:17:14,000 --> 01:17:17,120
Speaker 2: because they've reassigned so many of the federal agents that

1636
01:17:17,160 --> 01:17:19,519
Speaker 2: would normally be focused on that to like rounding up

1637
01:17:19,600 --> 01:17:23,240
Speaker 2: Jose at Home Depot, so they have, you know, drug trafficking,

1638
01:17:23,640 --> 01:17:28,400
Speaker 2: human trafficking. Those sorts of convictions and indictments are significantly

1639
01:17:28,479 --> 01:17:31,519
Speaker 2: down under this administration because of where they have shifted

1640
01:17:31,560 --> 01:17:32,280
Speaker 2: their resources to.

1641
01:17:32,400 --> 01:17:32,599
Speaker 1: Yeah.

1642
01:17:32,640 --> 01:17:34,200
Speaker 3: Ryan actually, by the way, thinks it's a good thing.

1643
01:17:34,240 --> 01:17:35,839
Speaker 3: He said, America needs to do more cocaine.

1644
01:17:35,960 --> 01:17:42,000
Speaker 1: So that's that's right. Yeah, it's the most right, Don Junior. Hey, Yeah,

1645
01:17:42,080 --> 01:17:43,920
Speaker 1: I guess I don't know.

1646
01:17:44,080 --> 01:17:46,840
Speaker 3: I think it's sad, you know, people poisoning their brains.

1647
01:17:46,920 --> 01:17:49,120
Speaker 3: I guess they think it's a good thing. Finally, by

1648
01:17:49,160 --> 01:17:50,920
Speaker 3: the way, we would just be remiss just to not

1649
01:17:51,040 --> 01:17:53,680
Speaker 3: point out who some of the clowns involved in all

1650
01:17:53,720 --> 01:17:55,120
Speaker 3: of this are. Can we put this please on the

1651
01:17:55,160 --> 01:17:58,200
Speaker 3: screen to challenge coin. Cash Hotel has now come out

1652
01:17:58,280 --> 01:18:02,000
Speaker 3: with his own genre of challenge coin. For those who

1653
01:18:02,080 --> 01:18:05,720
Speaker 3: are not just listening, how would you possibly describe this?

1654
01:18:05,960 --> 01:18:06,519
Speaker 4: What is this is?

1655
01:18:06,560 --> 01:18:10,600
Speaker 2: Like? The on the back it says, presented by the

1656
01:18:10,720 --> 01:18:14,280
Speaker 2: director of the FBI Cash Betel and has his signature.

1657
01:18:13,960 --> 01:18:19,960
Speaker 1: Two guns pointed down. Real tough, tough guy in the

1658
01:18:20,080 --> 01:18:21,040
Speaker 1: g WAT community.

1659
01:18:21,200 --> 01:18:23,479
Speaker 3: I would hope that anybody who does this type of

1660
01:18:23,479 --> 01:18:27,000
Speaker 3: stuff is cringe and I won't say the other word.

1661
01:18:26,840 --> 01:18:28,680
Speaker 1: That they usually would say that a company somebody who

1662
01:18:28,880 --> 01:18:29,560
Speaker 1: has something like this.

1663
01:18:30,080 --> 01:18:33,840
Speaker 3: In general, people who have fought and died and you know,

1664
01:18:35,880 --> 01:18:40,160
Speaker 3: generally don't memify it into punisher.

1665
01:18:39,840 --> 01:18:43,839
Speaker 2: Logos, and that is one of the most try.

1666
01:18:45,680 --> 01:18:47,560
Speaker 1: Yeah, exactly, I don't know.

1667
01:18:47,720 --> 01:18:49,840
Speaker 3: Yeah, at least he is a good reminder that all,

1668
01:18:50,000 --> 01:18:52,040
Speaker 3: not all the stereotypes about Indians are true, because some

1669
01:18:52,080 --> 01:18:53,200
Speaker 3: of them are fucking idiots.

1670
01:18:53,280 --> 01:18:59,240
Speaker 1: But he's true. Thank you Cash for showing me the

1671
01:18:59,280 --> 01:19:02,479
Speaker 1: country that we are or not all true of all. Indeed,

1672
01:19:02,640 --> 01:19:03,519
Speaker 1: some of us can.

1673
01:19:03,520 --> 01:19:08,000
Speaker 3: Also be forty year old losers who talk about Valhalla

1674
01:19:08,160 --> 01:19:12,240
Speaker 3: and have challenge coins and can podcast their way to

1675
01:19:12,439 --> 01:19:12,800
Speaker 3: the top.

1676
01:19:13,000 --> 01:19:14,360
Speaker 1: So yeah, thank you Keas.

1677
01:19:14,520 --> 01:19:17,560
Speaker 2: Yeah, haven't gotten an update on that Tyler Robinson investigation.

1678
01:19:17,760 --> 01:19:18,479
Speaker 1: You know, it's been weeks.

1679
01:19:18,560 --> 01:19:21,160
Speaker 2: Yeah, you're right, not the news come out at least

1680
01:19:21,160 --> 01:19:22,560
Speaker 2: from the official channels.

1681
01:19:22,240 --> 01:19:23,000
Speaker 1: So that's true.

1682
01:19:23,040 --> 01:19:23,120
Speaker 9: Thing.

1683
01:19:23,240 --> 01:19:25,360
Speaker 3: I mean, At the same time, the legal system moves slowly,

1684
01:19:25,479 --> 01:19:28,439
Speaker 3: right I mean we had I mean, Luigi, it's been

1685
01:19:28,600 --> 01:19:31,599
Speaker 3: what it's been almost nine months right since that happened.

1686
01:19:31,800 --> 01:19:34,559
Speaker 3: We're not even a trial yet, so yeah, he sat

1687
01:19:34,600 --> 01:19:35,160
Speaker 3: in prison too far.

1688
01:19:35,479 --> 01:19:37,160
Speaker 2: To be honest to me, it's more interesting that there

1689
01:19:37,240 --> 01:19:41,320
Speaker 2: isn't more mainstream journalism digging into Okay, well what was

1690
01:19:41,400 --> 01:19:43,599
Speaker 2: the timeline. Let's talk to his family members. I mean,

1691
01:19:43,800 --> 01:19:46,400
Speaker 2: Ken Clippenstein continues to be the only person who really

1692
01:19:46,439 --> 01:19:48,640
Speaker 2: spoke to any of his friends. How could that be?

1693
01:19:49,720 --> 01:19:51,760
Speaker 2: You know, like Ken was able to get a hold

1694
01:19:51,800 --> 01:19:53,400
Speaker 2: of a number of his fronts.

1695
01:19:53,280 --> 01:19:55,360
Speaker 1: A few, But I mean there is some weird shit

1696
01:19:55,400 --> 01:19:57,080
Speaker 1: that's going on. I mean, this is all sidetrack. You know.

1697
01:19:57,240 --> 01:20:00,320
Speaker 3: The so called boyfriend or whatever has gone missing, uh,

1698
01:20:00,520 --> 01:20:03,559
Speaker 3: you know, is like unable to be found. You got

1699
01:20:03,600 --> 01:20:05,400
Speaker 3: all these tech you know, the whole Dairy Queen video

1700
01:20:05,479 --> 01:20:08,040
Speaker 3: from can nobody knows if it's real or not. Stuff

1701
01:20:08,040 --> 01:20:11,120
Speaker 3: about whether Dairy Queen even existed. I mean, listen, I

1702
01:20:11,439 --> 01:20:12,439
Speaker 3: have to get too deep.

1703
01:20:12,479 --> 01:20:13,000
Speaker 1: Down the route.

1704
01:20:13,080 --> 01:20:15,400
Speaker 2: We did get that one surveillance studio from a gas

1705
01:20:15,439 --> 01:20:18,479
Speaker 2: station of him like fueling up the next day, just

1706
01:20:18,600 --> 01:20:21,680
Speaker 2: like casually in the same maroon shirt, fueling up at

1707
01:20:21,800 --> 01:20:22,519
Speaker 2: some gas.

1708
01:20:23,120 --> 01:20:26,720
Speaker 3: A police officer who family member, no interview, you know,

1709
01:20:26,840 --> 01:20:29,479
Speaker 3: nothing like that. Yeah, friends and family, other members of

1710
01:20:29,479 --> 01:20:30,320
Speaker 3: the discord, you know.

1711
01:20:30,360 --> 01:20:33,599
Speaker 1: And there's been nothing major. So anyway, all right, take

1712
01:20:33,680 --> 01:20:34,599
Speaker 1: that for what you will