1 00:00:02,560 --> 00:00:15,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:18,040 --> 00:00:20,439 Speaker 2: Of course, the big news this week as we sit 3 00:00:20,480 --> 00:00:22,759 Speaker 2: here in the studio. The US and Israel have been 4 00:00:22,840 --> 00:00:27,760 Speaker 2: engaging in coordinated attacks against Iran, and Iran, for its part, 5 00:00:27,800 --> 00:00:31,400 Speaker 2: has been retaliating with attacks across the region. 6 00:00:31,760 --> 00:00:34,880 Speaker 3: We're talking about a conflict that is very quickly spilling 7 00:00:34,920 --> 00:00:37,320 Speaker 3: over into the rest of the Middle East. According to 8 00:00:38,159 --> 00:00:41,560 Speaker 3: Iran's Red Crescent, there have been a huge number of casualties, 9 00:00:41,600 --> 00:00:45,000 Speaker 3: including nearly two hundred children under the age of ten 10 00:00:45,159 --> 00:00:49,199 Speaker 3: killed one thousand people. Here is Defense Secretary Pete Hegsath 11 00:00:49,240 --> 00:00:51,640 Speaker 3: speaking to the press on Wednesday, March fourth. 12 00:00:51,840 --> 00:00:55,960 Speaker 4: Iran cannot outlast us. We're going to ensure through violence 13 00:00:55,960 --> 00:00:59,080 Speaker 4: of action and our offensive capabilities and our defensive capabilities. 14 00:00:59,080 --> 00:01:01,520 Speaker 4: As I said that, we at the tone and the 15 00:01:01,520 --> 00:01:04,560 Speaker 4: tempo of this fight, and that's why we don't talk 16 00:01:04,560 --> 00:01:07,120 Speaker 4: about We can say four weeks, but it could be six, 17 00:01:07,120 --> 00:01:09,560 Speaker 4: it could be eight, it could be three. Ultimately, we 18 00:01:09,680 --> 00:01:12,480 Speaker 4: set the pace in the tempo. The enemy is off 19 00:01:12,480 --> 00:01:14,160 Speaker 4: balance and we're going to keep them off balance. 20 00:01:15,000 --> 00:01:18,160 Speaker 2: The results of these attacks have been absolutely massive. 21 00:01:18,280 --> 00:01:19,080 Speaker 5: Across the globe. 22 00:01:19,120 --> 00:01:21,720 Speaker 2: Oil and gas prices if skyrocketed, travel out of the 23 00:01:21,760 --> 00:01:25,840 Speaker 2: Middle East has essentially been halted, and countries all over 24 00:01:25,880 --> 00:01:29,440 Speaker 2: the region have been holding their breath to see basically 25 00:01:29,480 --> 00:01:33,120 Speaker 2: how this conflict is going to roll out and affect 26 00:01:33,400 --> 00:01:35,240 Speaker 2: their economies and their daily lives. 27 00:01:35,440 --> 00:01:38,839 Speaker 3: Yeah, and there are two pieces of this ongoing war 28 00:01:38,959 --> 00:01:41,720 Speaker 3: that we here at everybody's business haven't fallen closely. The 29 00:01:41,800 --> 00:01:45,319 Speaker 3: first is a resource we all need to survive, and 30 00:01:45,400 --> 00:01:50,000 Speaker 3: the second is a technology that our society is increasingly 31 00:01:50,160 --> 00:01:50,760 Speaker 3: relying on. 32 00:01:52,080 --> 00:01:54,640 Speaker 6: Oil is very important and fundamental, But did you think 33 00:01:54,680 --> 00:01:57,520 Speaker 6: about the well being of the one hundred million people 34 00:01:57,560 --> 00:02:01,440 Speaker 6: that live on the east side of the Persian Gulf 35 00:02:01,560 --> 00:02:04,240 Speaker 6: Water is what really makes or break it. 36 00:02:04,480 --> 00:02:07,480 Speaker 7: There was a ton of people deleting chat GPT, So 37 00:02:07,720 --> 00:02:11,440 Speaker 7: the consumer public says, we like it when you say 38 00:02:12,320 --> 00:02:16,120 Speaker 7: we don't want to surveil the general public in this 39 00:02:16,160 --> 00:02:18,120 Speaker 7: way or decide where missiles go. 40 00:02:18,440 --> 00:02:21,240 Speaker 2: That was Javier Blast and Amanda Mule talking about drinking 41 00:02:21,280 --> 00:02:24,520 Speaker 2: water and AI two aspects that will make or break 42 00:02:24,560 --> 00:02:27,680 Speaker 2: further escalations between the US, Israel, and Iran. 43 00:02:33,000 --> 00:02:35,239 Speaker 5: From Bloomberg Business Week. This is everybody's business. 44 00:02:35,240 --> 00:02:37,760 Speaker 2: I'm Max Chafkin and I'm Stacey manack Smith. Stay with 45 00:02:37,840 --> 00:02:39,720 Speaker 2: us because At the end of the show, we have 46 00:02:39,840 --> 00:02:42,919 Speaker 2: a special guest joining us to share their underrated story 47 00:02:42,919 --> 00:02:44,840 Speaker 2: for the week and an essential weekend listen. 48 00:02:48,080 --> 00:02:51,840 Speaker 3: But first, Stacy, let's take a look at the headlines. Obviously, 49 00:02:51,880 --> 00:02:53,960 Speaker 3: we have the war in Iran, which we will get to, 50 00:02:54,400 --> 00:02:57,960 Speaker 3: but also it is an electioneer. It's a midterm season. 51 00:02:58,400 --> 00:03:02,359 Speaker 3: As of Tuesday, the midterms have begun. We had our 52 00:03:02,440 --> 00:03:06,240 Speaker 3: first primary Texas and North Carolina, and we got some results. 53 00:03:06,400 --> 00:03:09,480 Speaker 2: Yes, I've been hearing you making phone calls and reporting 54 00:03:09,480 --> 00:03:11,960 Speaker 2: about this, so walk us through what is going on. 55 00:03:12,240 --> 00:03:16,120 Speaker 3: Okay, So, in terms of what happened on Tuesday, the 56 00:03:16,320 --> 00:03:18,600 Speaker 3: big news was out of Texas, and I just want 57 00:03:18,639 --> 00:03:21,480 Speaker 3: to say, first of all, long election season, it is 58 00:03:21,600 --> 00:03:24,200 Speaker 3: very easy to get wrapped up into any of this stuff. 59 00:03:24,360 --> 00:03:25,680 Speaker 5: But the bottom line is. 60 00:03:26,000 --> 00:03:29,640 Speaker 3: Number one, big turnout numbers for the Democrats. So I've 61 00:03:29,680 --> 00:03:32,359 Speaker 3: been saying this on the podcast. There's a lot of 62 00:03:32,760 --> 00:03:37,360 Speaker 3: Democratic enthusiasm. You know, Democrats really don't like Trump. Also, 63 00:03:37,400 --> 00:03:40,760 Speaker 3: as we've talked about pretty much continuously, a lot of 64 00:03:40,800 --> 00:03:44,280 Speaker 3: Trump's sort of most popular issues have begun to backfire, 65 00:03:44,480 --> 00:03:47,480 Speaker 3: particularly on the economy. But also, you know Iran, like 66 00:03:47,840 --> 00:03:51,000 Speaker 3: this conflict is not popular. So in Texas, you know, 67 00:03:51,080 --> 00:03:55,840 Speaker 3: red state, you were seeing Democratic turnout ahead of Republican turnout. 68 00:03:56,000 --> 00:03:59,800 Speaker 3: On the on the Democratic side, James tallerco beat Jasmine 69 00:04:00,640 --> 00:04:01,720 Speaker 3: by about five percent. 70 00:04:02,080 --> 00:04:03,680 Speaker 5: She's constantly sort. 71 00:04:03,440 --> 00:04:06,760 Speaker 3: Of trolling, pushing the envelope, but her politics are not 72 00:04:07,320 --> 00:04:08,200 Speaker 3: that far left. 73 00:04:08,400 --> 00:04:09,960 Speaker 5: Talla Rico is the opposite. 74 00:04:10,040 --> 00:04:13,720 Speaker 3: He's like, he reads as very different, as sort of 75 00:04:13,880 --> 00:04:16,680 Speaker 3: more like a uniter or something like that, but his 76 00:04:16,720 --> 00:04:19,280 Speaker 3: politics are actually further probably a little bit further to 77 00:04:19,320 --> 00:04:20,400 Speaker 3: the left of Crockett. 78 00:04:20,680 --> 00:04:22,000 Speaker 5: But Democrats in. 79 00:04:21,920 --> 00:04:25,640 Speaker 3: General, I think are probably more optimistic in Texas than 80 00:04:25,680 --> 00:04:28,279 Speaker 3: they've been a long time because they're running against a 81 00:04:28,320 --> 00:04:31,359 Speaker 3: Republican field that is divided. You had John Corden, the 82 00:04:31,360 --> 00:04:34,920 Speaker 3: current center running against Ken Paxton, who is a very 83 00:04:34,960 --> 00:04:36,560 Speaker 3: controversial figure to say the least. 84 00:04:36,560 --> 00:04:38,560 Speaker 5: They're going to a runoff. That should be. 85 00:04:38,520 --> 00:04:40,280 Speaker 2: Interesting, Yeah, sounds like it. 86 00:04:40,760 --> 00:04:43,920 Speaker 3: The other thing worth keeping an eye on are voting issues. 87 00:04:44,040 --> 00:04:48,400 Speaker 3: So in Texas there was this thing in Dallas County, 88 00:04:48,480 --> 00:04:51,560 Speaker 3: of course, one of the population center is also really 89 00:04:51,560 --> 00:04:55,800 Speaker 3: important center for Democrats, where a bunch of voters basically 90 00:04:55,880 --> 00:04:59,240 Speaker 3: showed up at the wrong precinct because there had been 91 00:04:59,680 --> 00:05:03,560 Speaker 3: a a change of rules with the state Republicans and 92 00:05:03,600 --> 00:05:05,360 Speaker 3: people got confused. It went all the way to the 93 00:05:05,440 --> 00:05:09,440 Speaker 3: Supreme Court, and you have basically an ongoing fight about 94 00:05:09,440 --> 00:05:14,159 Speaker 3: people's votes being counted. That fight looks like it will 95 00:05:14,200 --> 00:05:18,680 Speaker 3: not decide the Democratic primary. It looks like it's getting 96 00:05:18,680 --> 00:05:21,560 Speaker 3: ironed out. But I do think it's kind of a 97 00:05:21,600 --> 00:05:22,480 Speaker 3: preview of what. 98 00:05:22,600 --> 00:05:23,159 Speaker 5: Is to come. 99 00:05:23,600 --> 00:05:27,640 Speaker 3: The Republicans are including Donald Trump and Elon Musk, are 100 00:05:27,720 --> 00:05:30,360 Speaker 3: pushing this thing called the Save Act. It is a 101 00:05:31,200 --> 00:05:34,359 Speaker 3: voting like basically a voter ID law. It would require 102 00:05:34,960 --> 00:05:38,760 Speaker 3: voters to prove their citizenship when they register and have 103 00:05:38,839 --> 00:05:43,479 Speaker 3: photo ID when they vote. Republicans have traditionally pushed these 104 00:05:43,520 --> 00:05:46,640 Speaker 3: things because I think the view, well, there are two reasons. 105 00:05:46,680 --> 00:05:49,640 Speaker 3: One is they argue that, you know, we have to 106 00:05:49,680 --> 00:05:52,240 Speaker 3: stop non citizens, we have to stop voter fraud. But 107 00:05:52,320 --> 00:05:54,839 Speaker 3: there is a more cynical explanation, which has long been 108 00:05:55,320 --> 00:05:58,520 Speaker 3: that they are trying to suppress democratic turnout because historically 109 00:05:58,920 --> 00:06:03,040 Speaker 3: Democrats draw from more like working class people who don't 110 00:06:03,080 --> 00:06:07,680 Speaker 3: necessarily have their birth certificates, driver's licenses, et cetera handy, 111 00:06:07,720 --> 00:06:11,960 Speaker 3: and maybe also are not the most like regular voters. 112 00:06:12,000 --> 00:06:14,960 Speaker 3: So you have like high motivated voters, they've got their 113 00:06:15,279 --> 00:06:18,080 Speaker 3: voter card, they know their precinct, they know everything. They 114 00:06:18,120 --> 00:06:20,040 Speaker 3: show up no matter what the rules are. And then 115 00:06:20,080 --> 00:06:22,440 Speaker 3: you have this other coarter people who are like, ah, 116 00:06:22,600 --> 00:06:25,000 Speaker 3: I'll vote, but you know, I'm not gonna like go 117 00:06:25,120 --> 00:06:27,440 Speaker 3: way out of my way. And the thinking has been 118 00:06:27,640 --> 00:06:30,320 Speaker 3: that if you throw up a bunch of barriers, maybe 119 00:06:30,360 --> 00:06:33,480 Speaker 3: that affects the turnout. Now, one thing that's fascinating about 120 00:06:33,520 --> 00:06:37,360 Speaker 3: the Save Act is the voter makeup of the Republican 121 00:06:37,400 --> 00:06:40,279 Speaker 3: Party is shifting, and it is not clear that if 122 00:06:40,279 --> 00:06:42,240 Speaker 3: this thing passed, which it does not it got through 123 00:06:42,240 --> 00:06:44,560 Speaker 3: the House, I think it's chances in the Senate are unlikely. 124 00:06:44,600 --> 00:06:45,960 Speaker 5: Despite what Donald Trump. 125 00:06:45,720 --> 00:06:48,760 Speaker 3: Is doing, there is some chance it would hurt Republicans 126 00:06:48,800 --> 00:06:53,279 Speaker 3: more than Democrats because under Donald Trump, there is a 127 00:06:53,640 --> 00:06:56,799 Speaker 3: the Republicans have a higher percentage of you know, basically 128 00:06:56,839 --> 00:06:59,480 Speaker 3: people who do not vote every time. The kinds of 129 00:06:59,560 --> 00:07:02,839 Speaker 3: voters that traditionally voted Democrat, some of them have moved 130 00:07:02,839 --> 00:07:04,880 Speaker 3: over to Donald Trump. So it's kind of unclear how 131 00:07:04,880 --> 00:07:07,200 Speaker 3: this would play out, but I think it is absolutely 132 00:07:07,279 --> 00:07:10,560 Speaker 3: guaranteed that this will be an issue. We also have, 133 00:07:11,160 --> 00:07:17,360 Speaker 3: you know, in Kansas, the state is invalidating trans driver's licenses, 134 00:07:17,440 --> 00:07:20,440 Speaker 3: which could also impact voting. So there's just like a lot, 135 00:07:20,480 --> 00:07:22,400 Speaker 3: there's a lot of stuff here. It's going to be 136 00:07:22,400 --> 00:07:22,840 Speaker 3: a whole thing. 137 00:07:23,240 --> 00:07:29,760 Speaker 2: Well, we'll have to keep our eyes on it. About 138 00:07:29,800 --> 00:07:31,920 Speaker 2: the war in Iran, there is a lot of talk 139 00:07:32,080 --> 00:07:36,640 Speaker 2: about oil being completely central to how this conflict unfolds 140 00:07:36,720 --> 00:07:39,120 Speaker 2: and completely central to the impact this conflict is going 141 00:07:39,160 --> 00:07:43,960 Speaker 2: to have on all of us. But recently opinion columnist Bloomberg' 142 00:07:44,000 --> 00:07:48,160 Speaker 2: Javier Blass, who is the author of the World for Sale, Money, Power, 143 00:07:48,240 --> 00:07:51,720 Speaker 2: and the Traders who Barter the Earth's resources, makes the 144 00:07:51,760 --> 00:07:55,720 Speaker 2: case that there is actually a different commodity. We should 145 00:07:55,720 --> 00:07:58,760 Speaker 2: be keeping our eye on drinking water. 146 00:07:58,760 --> 00:08:01,080 Speaker 3: Well, right, and not only drinking water, but kind of 147 00:08:01,160 --> 00:08:05,480 Speaker 3: drinking water as a frame to understand just how significant 148 00:08:05,840 --> 00:08:08,280 Speaker 3: this conflict could be for the entire region and maybe 149 00:08:08,320 --> 00:08:10,800 Speaker 3: even the entire world. We have Javier piping in from 150 00:08:10,800 --> 00:08:15,160 Speaker 3: London to talk about this awesome, really fascinating take. 151 00:08:15,400 --> 00:08:17,560 Speaker 5: Javier, Welcome to everybody's business. 152 00:08:18,160 --> 00:08:19,040 Speaker 6: Thank you for having me. 153 00:08:19,960 --> 00:08:22,280 Speaker 3: All right, so just to start, you want to just 154 00:08:22,440 --> 00:08:26,440 Speaker 3: take us through the argument, like why is water more 155 00:08:26,480 --> 00:08:29,320 Speaker 3: important than oil when you're looking at this conflict because 156 00:08:29,320 --> 00:08:31,320 Speaker 3: like if you're reading the news on a day to 157 00:08:31,360 --> 00:08:34,600 Speaker 3: day basis, it is entirely about straight up horn moves, 158 00:08:34,679 --> 00:08:36,960 Speaker 3: oil price, global markets, and so on. 159 00:08:37,040 --> 00:08:38,559 Speaker 5: But give us your perspective here. 160 00:08:39,400 --> 00:08:42,520 Speaker 6: Look, oil is very important and it's absolutely fundamental to 161 00:08:42,679 --> 00:08:45,200 Speaker 6: the well being of the global economy. But did you 162 00:08:45,240 --> 00:08:47,880 Speaker 6: think about the well being of the one hundred million 163 00:08:47,960 --> 00:08:52,160 Speaker 6: people that live on the eastern side of the person Golf. 164 00:08:52,200 --> 00:08:57,720 Speaker 6: I'm thinking about Kubeit, Saudi Arabia, Qatar, the United Bahrain. 165 00:08:58,320 --> 00:09:01,800 Speaker 6: For them, water is what really makes or break it, 166 00:09:02,080 --> 00:09:05,400 Speaker 6: and all of those countries, the majority of the water 167 00:09:05,440 --> 00:09:09,040 Speaker 6: consumption doesn't come from aquifers or rivers. It comes from 168 00:09:09,040 --> 00:09:14,000 Speaker 6: the salinization. It's seawater, It goes through different physical processes. 169 00:09:14,120 --> 00:09:17,920 Speaker 6: They are very energy intensive. But if anything those countries 170 00:09:18,000 --> 00:09:21,360 Speaker 6: have is energy, cheap gas and cheap oil, and they 171 00:09:21,360 --> 00:09:27,160 Speaker 6: get water, drinking water, possable water. Without it, there is 172 00:09:27,200 --> 00:09:30,240 Speaker 6: no way to sustain live. Those countries don't expore oil 173 00:09:30,400 --> 00:09:33,720 Speaker 6: for a few days, a couple of weeks, say four weeks, 174 00:09:34,240 --> 00:09:36,800 Speaker 6: they can make it. They run out of water for 175 00:09:36,840 --> 00:09:39,319 Speaker 6: more than two or three days, they cannot make it. 176 00:09:39,679 --> 00:09:43,040 Speaker 6: And those water the salinization plants, they are spread all 177 00:09:43,080 --> 00:09:45,800 Speaker 6: around the Persian goals, about four hundred and fifty of them, 178 00:09:46,520 --> 00:09:50,199 Speaker 6: and they are absolutely key to destroy them. You have 179 00:09:50,240 --> 00:09:54,440 Speaker 6: a massive geopolitical problem that potentially could change I think 180 00:09:54,440 --> 00:09:57,440 Speaker 6: that it will change the conflict. I think that everyone 181 00:09:57,520 --> 00:10:00,520 Speaker 6: is looking at at a liquid in this world, and 182 00:10:00,559 --> 00:10:02,520 Speaker 6: I think that they're looking at one that makes a 183 00:10:02,559 --> 00:10:05,040 Speaker 6: lot of sense. Oil and I think that is very important. 184 00:10:05,200 --> 00:10:08,280 Speaker 6: Don't get me wrong, I spend my day writing about oil, 185 00:10:08,320 --> 00:10:10,480 Speaker 6: but I think that no attention is paide out water, 186 00:10:10,559 --> 00:10:12,000 Speaker 6: and I think that that could be critical. 187 00:10:12,400 --> 00:10:15,640 Speaker 2: There's been a lot of bombing of different countries around 188 00:10:15,679 --> 00:10:19,000 Speaker 2: the Gulf and different kinds of buildings, and you point 189 00:10:19,040 --> 00:10:24,360 Speaker 2: out one very important desalinization plant that feeds Saudi Arabia 190 00:10:24,760 --> 00:10:28,160 Speaker 2: and I think is responsible for something like ninety percent 191 00:10:28,440 --> 00:10:31,360 Speaker 2: of the country's drinking water. This does seem like a 192 00:10:31,440 --> 00:10:35,400 Speaker 2: very like a major point of vulnerability that Iran likely 193 00:10:35,440 --> 00:10:35,880 Speaker 2: knows about. 194 00:10:36,160 --> 00:10:39,640 Speaker 6: So Iran has already bombed two power plants that they 195 00:10:39,640 --> 00:10:44,160 Speaker 6: are associated with the salinization plants. So the typical desalinization 196 00:10:44,360 --> 00:10:47,640 Speaker 6: plan in the Middle East will have one power plant 197 00:10:47,679 --> 00:10:50,600 Speaker 6: that it will generate electricity, and then you have the 198 00:10:50,600 --> 00:10:54,960 Speaker 6: desalination plant Iran has already attacked two of those power 199 00:10:55,040 --> 00:10:58,480 Speaker 6: plants that they are literally attached wall against wall. The 200 00:10:58,600 --> 00:11:01,400 Speaker 6: plan that you are talking about is in the Persian 201 00:11:01,400 --> 00:11:04,480 Speaker 6: Gulf coast of Saudi Arabia. It is called the Jubail 202 00:11:04,280 --> 00:11:09,920 Speaker 6: the Salinization Plan, and it supplies around ninety percent of 203 00:11:09,960 --> 00:11:14,160 Speaker 6: the water needs of REACT, the Saudi capital. The water 204 00:11:14,280 --> 00:11:18,640 Speaker 6: goes from the coast five hundred kilometers app into REACT 205 00:11:18,720 --> 00:11:23,800 Speaker 6: via a very complex pipeline system. And according we know 206 00:11:24,000 --> 00:11:27,320 Speaker 6: some of these details because there was a memo, a 207 00:11:27,679 --> 00:11:31,760 Speaker 6: diplomatic cable from the US embassy in REACT that got 208 00:11:31,800 --> 00:11:35,480 Speaker 6: disclosed on that massive release of documents, that the massive 209 00:11:35,559 --> 00:11:38,920 Speaker 6: leak of documents that was WikiLeaks, and in two thousand 210 00:11:38,960 --> 00:11:42,120 Speaker 6: and eight, the memo from the US embassy says an 211 00:11:42,120 --> 00:11:46,720 Speaker 6: I quote, REACT will have to evacuate within a week 212 00:11:47,040 --> 00:11:51,960 Speaker 6: if the plan, his pipelines or associated power infrastructure were 213 00:11:52,040 --> 00:11:56,480 Speaker 6: seriously damaged or destroyed. The current structure of the Saudi 214 00:11:56,520 --> 00:12:01,840 Speaker 6: government could not exist without the Jubaile Salinisasian plan. That's 215 00:12:01,880 --> 00:12:05,960 Speaker 6: not a conspiracy theory. That's not someone writing a blog 216 00:12:06,000 --> 00:12:09,160 Speaker 6: on the Internet. That is a cable from the US 217 00:12:09,280 --> 00:12:13,120 Speaker 6: Embassy in Saudi Arabia in two thousand and eight. That 218 00:12:13,280 --> 00:12:18,079 Speaker 6: is how central the Salinisasian plans are for not only 219 00:12:18,160 --> 00:12:21,280 Speaker 6: Saudi Arabia, have had other countries in the region. And 220 00:12:21,559 --> 00:12:25,040 Speaker 6: my aim was to highlight that we are reaching a 221 00:12:25,120 --> 00:12:28,480 Speaker 6: point in the war where we need to start thinking 222 00:12:28,480 --> 00:12:31,920 Speaker 6: about the unthinkable. And this was one of those unthinkables 223 00:12:31,920 --> 00:12:35,800 Speaker 6: that I am trying to put into the minds of everyone. 224 00:12:36,080 --> 00:12:39,120 Speaker 3: Says and I what was it like nine months ago 225 00:12:39,280 --> 00:12:43,560 Speaker 3: when Israel Bombaran in June? Had John author Is our 226 00:12:43,600 --> 00:12:48,360 Speaker 3: colleague gone, and he raised what sounded like the worst 227 00:12:48,400 --> 00:12:52,079 Speaker 3: case scenario, the worst case scenario at that point, because 228 00:12:52,080 --> 00:12:54,640 Speaker 3: of course the US had not really entered the war. 229 00:12:54,720 --> 00:12:58,800 Speaker 3: Trump was threatening regime change but not doing the regime change. 230 00:12:58,800 --> 00:13:01,560 Speaker 3: He was just truth so about it. But the worst 231 00:13:01,559 --> 00:13:04,160 Speaker 3: case scenario is laid out by Jean was like the 232 00:13:04,160 --> 00:13:07,600 Speaker 3: strait of horror moves is closed. You have Iran because 233 00:13:07,640 --> 00:13:12,319 Speaker 3: it's cornered, lashing out at its neighbors, shooting missiles at Dubai, 234 00:13:12,760 --> 00:13:15,920 Speaker 3: at basically US military bases in the region, trying to 235 00:13:15,960 --> 00:13:19,319 Speaker 3: create a sort of regional conflict rather than this than 236 00:13:19,400 --> 00:13:20,560 Speaker 3: one that's focused in Iran. 237 00:13:21,000 --> 00:13:22,680 Speaker 5: And of course like that's what's happening. 238 00:13:22,760 --> 00:13:25,800 Speaker 3: That's now that worst case scenario has come, and you're 239 00:13:25,880 --> 00:13:29,160 Speaker 3: laying out this even worst case scenario where you go 240 00:13:29,280 --> 00:13:34,120 Speaker 3: from scattered bombings to real attack on almost like trying 241 00:13:34,160 --> 00:13:37,800 Speaker 3: to create civilian casualties. And there are even worse outcomes 242 00:13:37,800 --> 00:13:40,400 Speaker 3: that you could contemplate, right, you could contemplate a civil 243 00:13:40,440 --> 00:13:43,760 Speaker 3: war in Iran and a massive refugee crisis, and on 244 00:13:43,800 --> 00:13:48,040 Speaker 3: and on. What do you make of the strategy here, Like, 245 00:13:48,240 --> 00:13:50,480 Speaker 3: insofar as there is a strategy, what do you see 246 00:13:50,480 --> 00:13:53,040 Speaker 3: as the strategy and are they achieving it? 247 00:13:53,679 --> 00:13:55,679 Speaker 6: I think that these they have a spend on the 248 00:13:55,760 --> 00:13:58,000 Speaker 6: run up to this talking to a lot of word 249 00:13:58,160 --> 00:14:01,840 Speaker 6: espers and Middle East and esper on a strategy, and 250 00:14:01,880 --> 00:14:06,400 Speaker 6: I think that everyone was expecting something similar to this. 251 00:14:06,520 --> 00:14:09,920 Speaker 6: I mean, to my surprise is that the White House 252 00:14:09,960 --> 00:14:12,040 Speaker 6: is surprise that Iran is playing the war like this. 253 00:14:12,200 --> 00:14:14,560 Speaker 6: I mean, it makes sense. That's the only way that 254 00:14:14,559 --> 00:14:18,080 Speaker 6: it can survive is it cannot really prevail on a 255 00:14:18,080 --> 00:14:22,440 Speaker 6: military base. His air force has no match whatsoever against 256 00:14:22,640 --> 00:14:24,760 Speaker 6: the American air force. Is at some point we are 257 00:14:24,800 --> 00:14:30,720 Speaker 6: beginning we're seeing Iran fighting the United States, which is 258 00:14:30,760 --> 00:14:34,560 Speaker 6: deploying the weapons of twenty twenty five, twenty twenty six 259 00:14:34,920 --> 00:14:37,280 Speaker 6: against planes that they were the science in the sixties. 260 00:14:37,320 --> 00:14:40,680 Speaker 6: It's just no much whatsoever. So they need to basically 261 00:14:40,720 --> 00:14:43,960 Speaker 6: increase economic costs, go after soft targets, et cetera. I 262 00:14:44,000 --> 00:14:46,600 Speaker 6: don't think that we are even remotely close to world 263 00:14:46,680 --> 00:14:50,040 Speaker 6: cases scenario. My worldt cases scenario is really somber. I'm 264 00:14:50,080 --> 00:14:53,720 Speaker 6: a kind of half class, empty kind of guy, so 265 00:14:53,760 --> 00:14:57,480 Speaker 6: I'm always thinking what can go wrong? And you know, 266 00:14:57,600 --> 00:15:00,920 Speaker 6: so Estrala Hormus has been closed, it has been six days. 267 00:15:01,360 --> 00:15:06,320 Speaker 6: What if it's closed sixty Iran has attack soon energy facilities, 268 00:15:06,400 --> 00:15:10,920 Speaker 6: but not anything important and not really with intensity. You know, 269 00:15:11,000 --> 00:15:13,600 Speaker 6: it's not attacking is not just one or two drones. 270 00:15:13,640 --> 00:15:16,280 Speaker 6: It will be like sending five hundred against oil fields, 271 00:15:16,600 --> 00:15:19,920 Speaker 6: oil terminals, et cetera, et cetera. My concern is that 272 00:15:19,960 --> 00:15:23,680 Speaker 6: these really properly escalate and then it's when you know, 273 00:15:23,720 --> 00:15:26,240 Speaker 6: the price of oil goes much higher, when the countries 274 00:15:26,280 --> 00:15:28,600 Speaker 6: can see troubles. You know, what if they attack the 275 00:15:28,600 --> 00:15:32,880 Speaker 6: water supplies readd itself is a city of seven million people. 276 00:15:33,240 --> 00:15:35,520 Speaker 6: It is one of the largest metropolis in the Middle East. 277 00:15:35,840 --> 00:15:38,600 Speaker 6: What if they lose supply? How do you evacuate a 278 00:15:38,600 --> 00:15:41,400 Speaker 6: city of seven million people today. Those are the kind 279 00:15:41,440 --> 00:15:45,320 Speaker 6: of things that I worry. I mean, when when when 280 00:15:45,320 --> 00:15:48,640 Speaker 6: a water starts, all old plants us basically have to 281 00:15:48,680 --> 00:15:50,880 Speaker 6: be thrown away, and we don't know how how that's 282 00:15:50,880 --> 00:15:53,120 Speaker 6: going to play out. On the other hand, we are 283 00:15:53,160 --> 00:15:53,880 Speaker 6: on day six. 284 00:15:55,080 --> 00:15:57,920 Speaker 2: You know, it's going feels like way longer. 285 00:15:58,200 --> 00:16:03,120 Speaker 6: It does, but is not going I mean, you look 286 00:16:03,160 --> 00:16:05,880 Speaker 6: at it. Iran is put in a good fight and 287 00:16:05,920 --> 00:16:08,480 Speaker 6: a good defense. It's not gonna win. I don't have 288 00:16:08,560 --> 00:16:12,920 Speaker 6: any question whatsoever that the US prevails here is how 289 00:16:13,000 --> 00:16:18,440 Speaker 6: much damage Iran can inflat in the neighboring countries before 290 00:16:18,880 --> 00:16:23,000 Speaker 6: that happens. And also, let's not forget President Trump has 291 00:16:23,080 --> 00:16:27,400 Speaker 6: a lot of rams at his hand. I mean, he 292 00:16:27,480 --> 00:16:31,600 Speaker 6: has achieved. You may agree or disagree with the White House, 293 00:16:31,680 --> 00:16:35,480 Speaker 6: but you look from a non political position what he 294 00:16:35,560 --> 00:16:39,040 Speaker 6: has achieved already. It has crushed the nuclear program of 295 00:16:39,360 --> 00:16:44,880 Speaker 6: Iran completely. It has significantly degraded the ability of Iran 296 00:16:44,960 --> 00:16:49,640 Speaker 6: to lounge ballistic missiles, and the stockpile of ballistic missiles 297 00:16:49,680 --> 00:16:54,160 Speaker 6: of Iran has been reduced. And he killed the Supreme 298 00:16:54,280 --> 00:16:58,320 Speaker 6: Leader and around forty to fifty other people of the 299 00:16:58,520 --> 00:17:02,760 Speaker 6: Iranian leadership. I mean President Trump can turn around any 300 00:17:02,840 --> 00:17:06,920 Speaker 6: day and say mission accomplished, we are gone, major combat 301 00:17:06,920 --> 00:17:09,800 Speaker 6: operations are over, and we're going to keep a watchful 302 00:17:09,840 --> 00:17:12,800 Speaker 6: eye Iran. Don't do anything silly because we will hit 303 00:17:12,840 --> 00:17:14,760 Speaker 6: you back. But this is over. 304 00:17:15,280 --> 00:17:17,480 Speaker 2: It struck me the idea of like what if the 305 00:17:17,480 --> 00:17:21,919 Speaker 2: Straits of Hormos are closed for sixty days? If that happens, 306 00:17:22,480 --> 00:17:24,280 Speaker 2: I know that the US and Europe are in kind 307 00:17:24,280 --> 00:17:28,080 Speaker 2: of different positions, Like what what does that look like 308 00:17:28,119 --> 00:17:30,199 Speaker 2: for the US and for Europe if the Strait of 309 00:17:30,200 --> 00:17:32,960 Speaker 2: Hormos is closed for sixty days? 310 00:17:33,200 --> 00:17:33,640 Speaker 5: Is it a. 311 00:17:33,600 --> 00:17:35,560 Speaker 2: Different I mean the US produces a lot of its 312 00:17:35,600 --> 00:17:38,480 Speaker 2: own oil. Europe is mostly a net importer. I don't 313 00:17:38,520 --> 00:17:40,640 Speaker 2: know what does that? How does that play out? 314 00:17:40,920 --> 00:17:44,359 Speaker 6: The US produces a lot of oil is another sported actually, 315 00:17:44,400 --> 00:17:46,560 Speaker 6: but the price of oil is set on the global market, 316 00:17:46,720 --> 00:17:51,159 Speaker 6: and a crisis anywhere is a crisis everywhere. Everyone is 317 00:17:51,200 --> 00:17:54,359 Speaker 6: going to feel the pain and the price is going 318 00:17:54,440 --> 00:17:56,919 Speaker 6: to go up for everyone. The oil market is not 319 00:17:56,960 --> 00:17:59,480 Speaker 6: really thinking about sixty days. I think thinking more about 320 00:17:59,480 --> 00:18:03,720 Speaker 6: six days. At the moment. It will mean a significant 321 00:18:03,760 --> 00:18:07,159 Speaker 6: oil shock. People say, oh, world cases scenario is one 322 00:18:07,200 --> 00:18:10,800 Speaker 6: hundred dollars oil. Truly worst cases scenario, what I will 323 00:18:10,800 --> 00:18:13,800 Speaker 6: call it, really worst cases scenario. I think that we 324 00:18:13,920 --> 00:18:16,159 Speaker 6: go north of two hundred dollars, we will need massive 325 00:18:16,160 --> 00:18:20,879 Speaker 6: demand destruction. It will it will imply an economic shock 326 00:18:21,160 --> 00:18:24,320 Speaker 6: of the size that the central banks will have to intervene, 327 00:18:24,359 --> 00:18:28,119 Speaker 6: et cetera. Ac It's very ugly, but that's one of 328 00:18:28,119 --> 00:18:32,119 Speaker 6: the reasons that I cannot see these lasting sixty days. 329 00:18:32,160 --> 00:18:34,520 Speaker 6: I think that the White House will will call it 330 00:18:34,560 --> 00:18:37,959 Speaker 6: over a lot earlier. And that's not like, you know, 331 00:18:38,119 --> 00:18:40,320 Speaker 6: there is a lot of cynicism on on Wall Street, 332 00:18:40,400 --> 00:18:45,440 Speaker 6: and there's all that will be Taco, you know, you know. 333 00:18:45,880 --> 00:18:47,880 Speaker 5: I think Taco's out the window here. 334 00:18:48,000 --> 00:18:51,080 Speaker 3: I mean Taco was he doesn't, you know, he doesn't 335 00:18:51,119 --> 00:18:53,480 Speaker 3: knock out the Supreme Leader. That was kind of where 336 00:18:53,520 --> 00:18:54,800 Speaker 3: we were nine months ago. 337 00:18:55,080 --> 00:18:57,600 Speaker 6: But that's that's what I That's why I said a 338 00:18:57,640 --> 00:18:59,480 Speaker 6: lot of citizens, I don't think I will be Taco. 339 00:18:59,480 --> 00:19:02,240 Speaker 6: I mean, like, you know, having achieved killing the Supreme Leader, 340 00:19:02,400 --> 00:19:04,560 Speaker 6: I think that President Trump can turn around and say 341 00:19:04,560 --> 00:19:07,159 Speaker 6: I'm done any day, and I still claim that he 342 00:19:07,240 --> 00:19:11,200 Speaker 6: achieved a lot. Again, we can't use questions whether actually 343 00:19:11,320 --> 00:19:14,240 Speaker 6: was achieved. Whether killing the Supreme Leader actually brings us 344 00:19:14,280 --> 00:19:17,639 Speaker 6: closer to have a prosperous, democratic and a stable Iran, 345 00:19:17,680 --> 00:19:21,199 Speaker 6: which I don't think it has, But I do believe 346 00:19:21,240 --> 00:19:23,960 Speaker 6: that the White House has a lot of rams that 347 00:19:24,040 --> 00:19:29,240 Speaker 6: they can't take. This really gets ugly, and they decided 348 00:19:29,240 --> 00:19:31,240 Speaker 6: that the economic price is not worth anymore. 349 00:19:32,080 --> 00:19:34,160 Speaker 5: Ja your blast, Thank you so much for being here. 350 00:19:34,280 --> 00:19:35,440 Speaker 5: We will have to stay in. 351 00:19:35,440 --> 00:19:38,960 Speaker 3: Touch as this conflict continues and check in with you 352 00:19:39,640 --> 00:19:40,280 Speaker 3: down the road. 353 00:19:41,080 --> 00:19:42,080 Speaker 5: Thanks a lot for the time. 354 00:19:42,320 --> 00:19:52,280 Speaker 6: Thank you, hopefully not in sixty days. 355 00:19:53,440 --> 00:19:53,840 Speaker 5: Say see. 356 00:19:53,920 --> 00:19:57,879 Speaker 3: One of the kind of interesting side alleys of what 357 00:19:58,040 --> 00:20:01,560 Speaker 3: is happening Iran is a question of a and in 358 00:20:01,600 --> 00:20:06,040 Speaker 3: particular these big AI companies that are now defense contractors, 359 00:20:06,200 --> 00:20:09,040 Speaker 3: and even the use of some of these chatbots, as 360 00:20:09,040 --> 00:20:13,199 Speaker 3: crazy as it sounds, in the planning and prosecution of 361 00:20:13,200 --> 00:20:17,000 Speaker 3: the war itself. But luckily we've got somebody great to 362 00:20:17,000 --> 00:20:19,440 Speaker 3: talk about it. It's a man and Mall Bloomberg columnist. 363 00:20:19,560 --> 00:20:23,280 Speaker 3: You know, Amanda normally writes about brand perceptions. But there 364 00:20:23,359 --> 00:20:25,679 Speaker 3: was this dispute between Anthropic, which one of the two 365 00:20:25,720 --> 00:20:28,080 Speaker 3: big chatbots, and the Pentagon. You want to just talk 366 00:20:28,160 --> 00:20:30,560 Speaker 3: us through what happened as well as the backlash that's 367 00:20:30,600 --> 00:20:31,040 Speaker 3: been brewing. 368 00:20:31,240 --> 00:20:35,640 Speaker 7: So Anthropic, up until quite recently was a active government contractor. 369 00:20:35,680 --> 00:20:39,680 Speaker 7: It had DoD contracts to allow the government to use 370 00:20:39,800 --> 00:20:41,960 Speaker 7: its AI models Claude. 371 00:20:42,000 --> 00:20:44,520 Speaker 5: I call them Claude Yes, Claude, yes. 372 00:20:44,560 --> 00:20:50,280 Speaker 7: Sir Claude in different types of defense applications. So and 373 00:20:50,600 --> 00:20:54,320 Speaker 7: Anthropic CEO and peteg Seth and their respective organizations have 374 00:20:54,440 --> 00:20:56,960 Speaker 7: been feuding for a little bit over exactly the details 375 00:20:57,400 --> 00:21:00,640 Speaker 7: of how those models were going to be used. Hegseth 376 00:21:00,720 --> 00:21:03,200 Speaker 7: and the DoD wanted to use them for quote unquote 377 00:21:03,200 --> 00:21:08,080 Speaker 7: all lawful purposes, and Anthropic wanted a slightly different implementation. 378 00:21:08,200 --> 00:21:11,800 Speaker 7: They specifically, they did not want to agree to allow 379 00:21:11,880 --> 00:21:15,840 Speaker 7: mass surveillance of American citizens, and they didn't want claud 380 00:21:15,880 --> 00:21:19,240 Speaker 7: to be used in the deployment of fully autonomous weapons. 381 00:21:19,640 --> 00:21:22,560 Speaker 7: And the DoD in Hegseth were arguing that this is 382 00:21:22,600 --> 00:21:24,199 Speaker 7: a lawful use and you can't tell us what to 383 00:21:24,240 --> 00:21:27,080 Speaker 7: do with your tools once we've bought your tools. At 384 00:21:27,119 --> 00:21:30,600 Speaker 7: the end of last week this sort of exploded. Anthropic 385 00:21:30,800 --> 00:21:35,080 Speaker 7: got dropped as a government contractor. The DoD labeled them 386 00:21:35,160 --> 00:21:38,040 Speaker 7: a supply chain threat, which means that other government contractors. 387 00:21:38,080 --> 00:21:41,560 Speaker 7: Other defense contractors are not allowed to use or do 388 00:21:41,640 --> 00:21:45,560 Speaker 7: business with Anthropic, which is a problem because all of 389 00:21:45,560 --> 00:21:48,640 Speaker 7: the tech companies are intermingled in their use of each 390 00:21:48,640 --> 00:21:53,320 Speaker 7: other's services, So Google, Amazon, et cetera can't be involved 391 00:21:53,320 --> 00:21:57,680 Speaker 7: with Anthropic anymore theoretically, And into this sort of vacuum 392 00:21:57,720 --> 00:22:01,760 Speaker 7: of government contracting came open AI and say Altman, and 393 00:22:02,119 --> 00:22:04,760 Speaker 7: essentially what he said is we'll do it, you know, 394 00:22:05,480 --> 00:22:08,040 Speaker 7: and because these companies are both consumer face. 395 00:22:08,000 --> 00:22:12,200 Speaker 2: It's okay with mass surveillance and we're okay with like 396 00:22:12,400 --> 00:22:13,280 Speaker 2: direct drones. 397 00:22:13,600 --> 00:22:17,680 Speaker 7: That's the thing. Nobody really knows exactly what open ayes 398 00:22:17,800 --> 00:22:19,720 Speaker 7: agreement with the Department of Defense is. We know what 399 00:22:19,760 --> 00:22:21,120 Speaker 7: Sam Altman has said publicly. 400 00:22:21,560 --> 00:22:24,440 Speaker 3: We also don't really know how these tools are being used. 401 00:22:24,520 --> 00:22:27,440 Speaker 3: I feel like anytime this comes up, I have to say, reminder, 402 00:22:27,800 --> 00:22:30,760 Speaker 3: these are tools for summarizing emails, like that is their 403 00:22:30,800 --> 00:22:33,280 Speaker 3: main use. That is how the Pentagon is using them. 404 00:22:33,480 --> 00:22:36,280 Speaker 3: That they're using them more or less the same way 405 00:22:36,560 --> 00:22:39,000 Speaker 3: that everybody else is using them. And even in the 406 00:22:39,040 --> 00:22:42,840 Speaker 3: back and forth with the Pentagon, there were Defense Apartment 407 00:22:42,920 --> 00:22:45,840 Speaker 3: sources saying essentially, we're not using it in the ways 408 00:22:46,400 --> 00:22:48,600 Speaker 3: that Anthropic is worried about we just want to keep 409 00:22:48,600 --> 00:22:49,119 Speaker 3: our options. 410 00:22:49,400 --> 00:22:50,520 Speaker 7: We just want to be able to do that in 411 00:22:50,520 --> 00:22:52,120 Speaker 7: the future if we feel like it, basically. 412 00:22:52,760 --> 00:22:55,840 Speaker 3: But there is an interesting brand perception here, right, Amanda. 413 00:22:56,359 --> 00:22:59,960 Speaker 7: With these AI companies, you have sort of an interesting 414 00:23:00,080 --> 00:23:04,639 Speaker 7: case where you know, open ai and Anthropic in particular, 415 00:23:04,680 --> 00:23:08,640 Speaker 7: are sort of hungry for revenue. They've got these very 416 00:23:08,640 --> 00:23:12,520 Speaker 7: expensive companies with very expensive data needs, very expensive development needs. 417 00:23:12,560 --> 00:23:16,160 Speaker 7: They've borrowed a lot of money, and they are looking 418 00:23:16,200 --> 00:23:19,200 Speaker 7: for ways to apply the technology they have in ways 419 00:23:19,200 --> 00:23:23,600 Speaker 7: that earn them revenue. So you've got them government contracting, 420 00:23:23,600 --> 00:23:28,200 Speaker 7: doing corporate contracting, doing consumer applications, and which means that 421 00:23:28,280 --> 00:23:33,080 Speaker 7: they are oddly exposed both to government whims and to 422 00:23:33,280 --> 00:23:36,480 Speaker 7: consumer perception, which is not the case with most government contractors. 423 00:23:36,680 --> 00:23:41,240 Speaker 3: But let's talk about the backlash because open ai steps 424 00:23:41,240 --> 00:23:43,639 Speaker 3: into the breach, says yeah, we'll do it, sure, and 425 00:23:43,720 --> 00:23:47,200 Speaker 3: immediately people start deleting Chatchiputa. 426 00:23:47,400 --> 00:23:47,640 Speaker 5: Yeah. 427 00:23:47,640 --> 00:23:50,120 Speaker 7: This is where it gets real funny to be both 428 00:23:50,160 --> 00:23:53,720 Speaker 7: a defense contractor and a consumer company that is trying 429 00:23:53,720 --> 00:23:57,640 Speaker 7: to cultivate the sort of like warm, cudly friendly, maybe sycophantic, 430 00:23:57,920 --> 00:24:00,560 Speaker 7: depending on the attitude of the particular chat model. We're 431 00:24:00,560 --> 00:24:05,320 Speaker 7: talking about presence toward the general public. So Sam Altman said, yeah, 432 00:24:05,320 --> 00:24:07,359 Speaker 7: we'll do it, and what is it, we don't know, 433 00:24:07,480 --> 00:24:09,919 Speaker 7: but he sort of jumped into the breach with the company. 434 00:24:09,920 --> 00:24:12,520 Speaker 7: He leads to say that we'll take this revenue, you 435 00:24:12,520 --> 00:24:15,440 Speaker 7: can use our toles. And so the general public, having 436 00:24:15,720 --> 00:24:18,080 Speaker 7: many of them having some sort of financial relationship with 437 00:24:18,359 --> 00:24:20,320 Speaker 7: chat GPT, even if it's just a twenty dollars a 438 00:24:20,320 --> 00:24:22,959 Speaker 7: month user subscription, said we don't like that. 439 00:24:23,000 --> 00:24:25,920 Speaker 2: We don't want to be mass surveilled by our government. 440 00:24:25,560 --> 00:24:26,000 Speaker 6: In this way. 441 00:24:26,320 --> 00:24:29,680 Speaker 5: It's a new hot thingia. 442 00:24:29,720 --> 00:24:32,000 Speaker 7: Yeah, So there was a ton of backlash online, people 443 00:24:32,080 --> 00:24:35,840 Speaker 7: posting screenshots of themselves deleting chat GPT, getting rid of 444 00:24:35,920 --> 00:24:41,000 Speaker 7: their their subscription, and then downloading anthropics Claude. Basically, Claude 445 00:24:41,119 --> 00:24:43,720 Speaker 7: jumped to the top of the Apple app Store download list. 446 00:24:43,800 --> 00:24:46,040 Speaker 7: It remains there as of me talking right now. I 447 00:24:46,080 --> 00:24:48,520 Speaker 7: just checked it. Yeah, there was a huge surgeon downloads, 448 00:24:48,520 --> 00:24:53,200 Speaker 7: a huge surgeon subscriptions. So the consumer public says, we 449 00:24:53,359 --> 00:24:57,560 Speaker 7: like it when you say we don't want to surveil 450 00:24:57,680 --> 00:25:01,119 Speaker 7: the general public in this way or decide where missiles go. 451 00:25:01,920 --> 00:25:04,800 Speaker 3: We wanted to maybe take a broader view of this. 452 00:25:05,160 --> 00:25:08,199 Speaker 3: We sent producer Jasmine J. T Green out into New 453 00:25:08,280 --> 00:25:10,440 Speaker 3: York City just to ask some people if they had 454 00:25:10,600 --> 00:25:12,760 Speaker 3: grocked this controversy. 455 00:25:13,119 --> 00:25:15,120 Speaker 6: Do y'all use AI currently? 456 00:25:15,880 --> 00:25:16,040 Speaker 8: Not? 457 00:25:16,080 --> 00:25:16,359 Speaker 6: Really? 458 00:25:16,840 --> 00:25:17,320 Speaker 9: Yes, I do. 459 00:25:17,640 --> 00:25:18,000 Speaker 5: I'll come. 460 00:25:18,240 --> 00:25:21,080 Speaker 1: If we teach the AI how to do things, it's 461 00:25:21,119 --> 00:25:22,560 Speaker 1: not going to do them as well as. 462 00:25:22,440 --> 00:25:23,440 Speaker 2: Like people could do it. 463 00:25:23,880 --> 00:25:25,520 Speaker 3: I use it when it first came out, like a 464 00:25:25,560 --> 00:25:28,159 Speaker 3: little bit, and I was like, this is ass like 465 00:25:28,320 --> 00:25:30,360 Speaker 3: with the art stuff. Everything I can create, I can 466 00:25:30,720 --> 00:25:31,879 Speaker 3: create by myself. 467 00:25:32,160 --> 00:25:34,320 Speaker 9: I use it a lot when I'm traveling trying to 468 00:25:34,359 --> 00:25:36,520 Speaker 9: figure out where I am, what's happening today. 469 00:25:37,119 --> 00:25:41,280 Speaker 3: AI was like originally made to do menial tasks and 470 00:25:41,359 --> 00:25:44,480 Speaker 3: now it's going the other way around, And I don't. 471 00:25:44,320 --> 00:25:45,159 Speaker 6: Want to be part of that. 472 00:25:45,520 --> 00:25:48,600 Speaker 5: Open AI just took a contract with the Department of Defense. 473 00:25:48,960 --> 00:25:50,719 Speaker 5: Were you guys like following any of that? 474 00:25:50,880 --> 00:25:53,960 Speaker 3: And I was following, But it's more like, why are 475 00:25:53,960 --> 00:25:56,040 Speaker 3: we using the robot to kill people? 476 00:25:56,240 --> 00:25:59,399 Speaker 5: AI should not be used for human surveillance? Really, we 477 00:25:59,400 --> 00:26:01,840 Speaker 5: shouldn't have as human surveillance as we already have. It's 478 00:26:01,880 --> 00:26:03,760 Speaker 5: kind of like a whole crazy thing. 479 00:26:04,000 --> 00:26:10,160 Speaker 7: I'm gonna misread what humans are doing, so then it's gonna. 480 00:26:09,880 --> 00:26:13,320 Speaker 2: Missfire a lot, and in like trials. 481 00:26:12,800 --> 00:26:16,120 Speaker 4: Of like it thinking that it's doing the correct thing, 482 00:26:16,160 --> 00:26:18,240 Speaker 4: it's gonna it could just do a lot of damage. 483 00:26:18,359 --> 00:26:20,680 Speaker 9: I've been following the story and I'm kind of interested 484 00:26:20,720 --> 00:26:25,560 Speaker 9: in it in the sense that AI unsupervised without human 485 00:26:25,600 --> 00:26:30,520 Speaker 9: intervention is no better than a coin operated machine that 486 00:26:30,600 --> 00:26:32,720 Speaker 9: you used to get a candy ball out of and 487 00:26:32,880 --> 00:26:35,280 Speaker 9: it would get stuck. What happens when it gets stuck. 488 00:26:35,880 --> 00:26:37,320 Speaker 9: There's no way to record it. 489 00:26:37,840 --> 00:26:40,720 Speaker 6: I've never really seen the need for it. 490 00:26:41,200 --> 00:26:44,120 Speaker 5: Have we not read any dystopian like shit like It's 491 00:26:44,200 --> 00:26:46,200 Speaker 5: just this doesn't sound very good. 492 00:26:47,160 --> 00:26:49,639 Speaker 3: We are like halfway to like really good science fiction 493 00:26:49,720 --> 00:26:53,760 Speaker 3: story there, I feel. I mean, Amanda, do you think 494 00:26:54,400 --> 00:27:00,800 Speaker 3: there's the question about these chatbots and then becoming politicized? 495 00:27:00,840 --> 00:27:04,800 Speaker 3: And I was surprised. I started looking for this where 496 00:27:04,800 --> 00:27:07,359 Speaker 3: this quit GPT trend started actually started a month ago 497 00:27:07,480 --> 00:27:10,720 Speaker 3: during the just after the Alex Pretti killing, where you 498 00:27:10,760 --> 00:27:16,080 Speaker 3: had a bunch of liberals basically looking for conservative Trump 499 00:27:16,080 --> 00:27:19,119 Speaker 3: aligned companies to boycott and finding this one, which is 500 00:27:19,160 --> 00:27:22,080 Speaker 3: a pretty good target because the CEO, Greg Brockman has 501 00:27:22,160 --> 00:27:25,720 Speaker 3: given a large amount of money to Donald Trump in 502 00:27:25,720 --> 00:27:28,040 Speaker 3: this cycle, something like twenty five million dollars, and so 503 00:27:28,440 --> 00:27:31,359 Speaker 3: you could see why this is happening. I'm curious do 504 00:27:31,400 --> 00:27:35,720 Speaker 3: you think that any of these boycotts have any kind 505 00:27:35,760 --> 00:27:38,200 Speaker 3: of effect? Do they have a political effect? Do they 506 00:27:38,320 --> 00:27:41,200 Speaker 3: potentially have a business effect? Because it really hurt open AI. 507 00:27:41,680 --> 00:27:44,800 Speaker 7: I think that there's two interesting questions with public perception 508 00:27:44,880 --> 00:27:47,600 Speaker 7: of AI. Here you've got like public perception of AI 509 00:27:47,840 --> 00:27:50,000 Speaker 7: as like a class of tool and as like a 510 00:27:50,040 --> 00:27:52,720 Speaker 7: class of business, and how we want to integrate or 511 00:27:52,720 --> 00:27:55,560 Speaker 7: not integrate those tools into society, and how we want 512 00:27:55,600 --> 00:27:58,399 Speaker 7: to regulate those businesses long term. And then you've also 513 00:27:58,480 --> 00:28:01,520 Speaker 7: got the question of like how these particular companies are viewed. 514 00:28:01,960 --> 00:28:04,919 Speaker 7: And AI companies are in an interesting spot when it 515 00:28:04,960 --> 00:28:09,160 Speaker 7: comes to like brand perception because usually companies that become 516 00:28:09,280 --> 00:28:11,119 Speaker 7: as large as they are do so over like a 517 00:28:11,160 --> 00:28:13,439 Speaker 7: long period of time. Companies that have you know, the 518 00:28:13,440 --> 00:28:16,440 Speaker 7: amount of economic influence and social influence that these companies 519 00:28:16,480 --> 00:28:19,119 Speaker 7: have cultivated. Usually they've been around for a while, and 520 00:28:19,119 --> 00:28:21,439 Speaker 7: there's a lot of evidence of their political alignment, of 521 00:28:21,480 --> 00:28:24,639 Speaker 7: how their tools are used, what their products do, and 522 00:28:24,800 --> 00:28:27,879 Speaker 7: like what like particular political valence they might have with 523 00:28:28,000 --> 00:28:31,400 Speaker 7: Open AI and Anthropic and other large AI companies. We're 524 00:28:31,400 --> 00:28:33,440 Speaker 7: sort of figuring that out in real time after they've 525 00:28:33,440 --> 00:28:36,240 Speaker 7: already gained all of this influence. So I think consumers 526 00:28:36,280 --> 00:28:39,760 Speaker 7: have like an interesting opportunity to react to these companies 527 00:28:39,840 --> 00:28:44,000 Speaker 7: and like reward or punish them accordingly because they are 528 00:28:44,040 --> 00:28:48,960 Speaker 7: still building their place in public perception. And more broadly, 529 00:28:49,040 --> 00:28:51,680 Speaker 7: I think it's important to these companies like long term 530 00:28:51,760 --> 00:28:55,400 Speaker 7: viability how AI in general is perceived. So it might 531 00:28:55,440 --> 00:28:57,920 Speaker 7: be good for Anthropic in its perception that it has 532 00:28:57,920 --> 00:29:01,920 Speaker 7: said no in some form to the Trump administration on things, 533 00:29:02,080 --> 00:29:04,240 Speaker 7: on things that are broadly unpopular with the public. 534 00:29:04,320 --> 00:29:06,120 Speaker 3: You know who work with large data sets, and this 535 00:29:06,160 --> 00:29:09,800 Speaker 3: is where the mass surveillance comes in, right is intelligence analysts. 536 00:29:09,920 --> 00:29:12,640 Speaker 3: And I think that like people, people read these stories 537 00:29:12,800 --> 00:29:17,040 Speaker 3: and I think they imagine like Rock or it will 538 00:29:17,160 --> 00:29:20,120 Speaker 3: be Rock by the way, because now that Anthropics not 539 00:29:20,240 --> 00:29:22,280 Speaker 3: outs like Elon Musk's chatbody is. 540 00:29:22,240 --> 00:29:23,480 Speaker 5: The lane is open? Yeah exactly? 541 00:29:23,640 --> 00:29:27,560 Speaker 3: Yeah, there no like you imagine like Rock, like telling 542 00:29:27,640 --> 00:29:29,040 Speaker 3: the missile like where to go? 543 00:29:29,120 --> 00:29:31,080 Speaker 5: But what's what? What is actually? I think what is 544 00:29:31,120 --> 00:29:34,400 Speaker 5: more realistic is massive data sets. 545 00:29:34,440 --> 00:29:37,640 Speaker 3: Whether you're asking, you're asking the LM to look at 546 00:29:37,680 --> 00:29:40,520 Speaker 3: a satellite photograph and say where are the targets? Or 547 00:29:40,560 --> 00:29:43,120 Speaker 3: you're just asking it to look over a bunch of 548 00:29:43,160 --> 00:29:44,600 Speaker 3: phone records or stuff. 549 00:29:44,680 --> 00:29:46,840 Speaker 5: And you can see why that's a little bit scared. 550 00:29:46,920 --> 00:29:48,680 Speaker 7: And I think that it's important to remember that whether 551 00:29:48,760 --> 00:29:51,480 Speaker 7: or not the models are like good at these functions 552 00:29:51,520 --> 00:29:54,600 Speaker 7: doesn't necessarily determine whether or not those functions are dangerous. 553 00:29:54,600 --> 00:29:55,240 Speaker 2: They're dangerous. 554 00:29:55,520 --> 00:29:57,520 Speaker 7: It's dangerous when they're not good at it, too, because 555 00:29:57,560 --> 00:30:00,200 Speaker 7: then you get all kinds of mistakes that her or 556 00:30:00,280 --> 00:30:01,160 Speaker 7: kill people potentially. 557 00:30:01,240 --> 00:30:04,120 Speaker 3: Yeah, we should say, like, there's still this ongoing question 558 00:30:04,400 --> 00:30:10,560 Speaker 3: over how this Iranian school was destroyed, and I don't 559 00:30:10,600 --> 00:30:12,360 Speaker 3: know if it would make us feel better or worse 560 00:30:12,400 --> 00:30:14,880 Speaker 3: to know if AI had been involved, but it kind 561 00:30:14,920 --> 00:30:17,480 Speaker 3: of highlights just how high the stakes are. 562 00:30:17,600 --> 00:30:21,240 Speaker 7: Right, It's dangerous when the AI is great at these tasks, 563 00:30:21,280 --> 00:30:23,040 Speaker 7: and it's dangerous in a different way when it's terrible 564 00:30:23,080 --> 00:30:24,080 Speaker 7: at them but used anyway. 565 00:30:24,480 --> 00:30:27,360 Speaker 3: Stacy, you had asked about the businesses, like how big 566 00:30:27,480 --> 00:30:30,800 Speaker 3: a factor are consumers in a given AI platform? 567 00:30:30,920 --> 00:30:32,320 Speaker 5: And I think the answer is it depends on the 568 00:30:32,360 --> 00:30:33,160 Speaker 5: AI platform. 569 00:30:33,200 --> 00:30:36,960 Speaker 3: So one reason this matters a lot to open AI 570 00:30:37,160 --> 00:30:40,760 Speaker 3: is open AI, unlike Anthropic, has a ton of consumer 571 00:30:40,880 --> 00:30:43,680 Speaker 3: use because of the way that it happened. Right, they 572 00:30:43,720 --> 00:30:46,959 Speaker 3: made this free demo called CHATCHYBT available to the public. 573 00:30:47,280 --> 00:30:48,320 Speaker 5: Lots of people signed up. 574 00:30:48,360 --> 00:30:52,920 Speaker 3: They have significant just normal people using it. Apps like 575 00:30:53,320 --> 00:30:56,440 Speaker 3: Claude and co Pilot are much more on the sort. 576 00:30:56,240 --> 00:31:00,600 Speaker 5: Of water tool thing. Grock is all the way over. 577 00:31:00,840 --> 00:31:03,840 Speaker 3: If there's a continue in between friend and colleague. Groc 578 00:31:04,120 --> 00:31:06,440 Speaker 3: is such a good friend that you're having sex with it, 579 00:31:06,840 --> 00:31:10,000 Speaker 3: and like co Pilot is not having. 580 00:31:09,720 --> 00:31:10,160 Speaker 5: Sex with you. 581 00:31:10,200 --> 00:31:13,320 Speaker 3: It's just like searching your emails and open Aiyes, somewhere 582 00:31:13,360 --> 00:31:15,560 Speaker 3: in the middle, and there's something more uncomfortable if you're 583 00:31:15,680 --> 00:31:18,440 Speaker 3: friends with your chatbot. There's something weird about your friend 584 00:31:18,520 --> 00:31:23,000 Speaker 3: also surveilling gazillions of Americans, whereas if your chatbot is 585 00:31:23,160 --> 00:31:25,840 Speaker 3: just helping you summarize your emails, I don't know that 586 00:31:25,880 --> 00:31:26,800 Speaker 3: it bothers you so much. 587 00:31:26,920 --> 00:31:28,640 Speaker 5: If they're working with the Pentagon. 588 00:31:28,360 --> 00:31:31,120 Speaker 7: Right, I think that Anthropic, in showing like a modicum 589 00:31:31,120 --> 00:31:35,040 Speaker 7: of backbone, I think did risk something real for the company. 590 00:31:35,080 --> 00:31:36,680 Speaker 2: It's quite refreshing, honestly. 591 00:31:37,000 --> 00:31:39,120 Speaker 7: Yeah, And I think that was like why you saw 592 00:31:39,160 --> 00:31:42,600 Speaker 7: this surge in public sort of like desire to support 593 00:31:42,600 --> 00:31:45,240 Speaker 7: this company because there have been so few like major 594 00:31:45,280 --> 00:31:47,840 Speaker 7: companies that have been willing to publicly tech companies, yes, 595 00:31:47,920 --> 00:31:49,720 Speaker 7: especially chech companies, that have been willing to break with 596 00:31:49,720 --> 00:31:53,320 Speaker 7: the Trump administration on literally anything. And Anthropic is not 597 00:31:53,360 --> 00:31:56,800 Speaker 7: a boy scout like it partners with palenter, which does 598 00:31:56,840 --> 00:32:00,720 Speaker 7: a lot of data analysis and surveillance. It's my underlie 599 00:32:00,800 --> 00:32:03,960 Speaker 7: a lot of Palenteer's capabilities. It earlier this year, while 600 00:32:04,040 --> 00:32:06,000 Speaker 7: feuding with the Department of Defense, according to one of 601 00:32:06,000 --> 00:32:08,520 Speaker 7: our colleagues at Bloomberg News, put in a bid to 602 00:32:08,640 --> 00:32:10,560 Speaker 7: develop an autonomous drone swarm. 603 00:32:10,320 --> 00:32:11,360 Speaker 5: System for the Pentagon. 604 00:32:11,760 --> 00:32:14,600 Speaker 7: So like Anthropic does want to do some of this stuff, 605 00:32:14,600 --> 00:32:16,320 Speaker 7: it just doesn't want to do like a. 606 00:32:16,880 --> 00:32:18,320 Speaker 5: Couple very particular things. 607 00:32:18,760 --> 00:32:20,520 Speaker 7: One thing that I've been sort of waiting to see 608 00:32:20,520 --> 00:32:22,920 Speaker 7: happen is for some of these businesses, these big like 609 00:32:23,000 --> 00:32:26,760 Speaker 7: consumer exposed businesses in particular, till decide that they see 610 00:32:26,760 --> 00:32:28,880 Speaker 7: which way the wind is blowing, and like right now 611 00:32:28,920 --> 00:32:31,640 Speaker 7: it's blowing away from a bunch of these like highly 612 00:32:31,680 --> 00:32:36,160 Speaker 7: controversial Trump administration policies and toward more moderate, more progressive 613 00:32:36,400 --> 00:32:38,680 Speaker 7: ideas of how that some of this stuff should be handled. 614 00:32:39,080 --> 00:32:40,960 Speaker 7: We see that in issue polling, you see it in 615 00:32:41,480 --> 00:32:45,360 Speaker 7: how elections have gone thus far during the Trump presidency. 616 00:32:45,760 --> 00:32:48,560 Speaker 7: So I think that, like, if you're a company that 617 00:32:48,640 --> 00:32:51,800 Speaker 7: has consumer exposure and you have a brand name to burnish, 618 00:32:51,880 --> 00:32:54,280 Speaker 7: and you're looking at the long term, it might be 619 00:32:54,360 --> 00:32:56,240 Speaker 7: time to start taking the temperature on some of this 620 00:32:56,280 --> 00:32:59,600 Speaker 7: stuff and start taking what feel like short term risks 621 00:32:59,680 --> 00:33:04,080 Speaker 7: for long term avoidance of litigation or congressional hearings. 622 00:33:04,240 --> 00:33:06,640 Speaker 3: All right, Amanda, we're gonna let you go. We're gonna 623 00:33:06,720 --> 00:33:10,760 Speaker 3: keep following this listeners. If you have changed chatbots, if 624 00:33:10,800 --> 00:33:17,320 Speaker 3: you are now a grock person or a cheek person, 625 00:33:17,680 --> 00:33:22,080 Speaker 3: let us know everybody. Everybody's at Bloomberg dot net. 626 00:33:22,440 --> 00:33:24,360 Speaker 5: And Amanda, thank you for being here. We'll have you 627 00:33:24,400 --> 00:33:24,760 Speaker 5: back soon. 628 00:33:24,800 --> 00:33:25,760 Speaker 7: Thanks so much for having me. 629 00:33:31,360 --> 00:33:33,880 Speaker 3: Stacey, it is that time. It's the time we talk 630 00:33:33,920 --> 00:33:38,400 Speaker 3: about under and we have a special guest. Fellow member 631 00:33:38,840 --> 00:33:43,600 Speaker 3: of the Bloomberg Audio Travers Drake Bennett, tech reporter at 632 00:33:43,600 --> 00:33:46,880 Speaker 3: Bloomberg and more importantly, co host of the new limited 633 00:33:46,920 --> 00:33:50,080 Speaker 3: series The six Bureau It Is Awesome, co hosted with 634 00:33:50,160 --> 00:33:50,880 Speaker 3: Jordan Robertson. 635 00:33:50,960 --> 00:33:53,640 Speaker 5: Is another reporter. Drake welcome to everybody's business. 636 00:33:53,640 --> 00:33:54,320 Speaker 8: Thanks guys. 637 00:33:54,560 --> 00:33:56,719 Speaker 2: So tell us about the sixth Bureau. 638 00:33:57,560 --> 00:34:01,040 Speaker 8: It's about the MSS, which is basically the the most 639 00:34:01,080 --> 00:34:03,680 Speaker 8: important intelligence agency that you've never heard of. It's a 640 00:34:03,720 --> 00:34:05,960 Speaker 8: Ministry of State Security, or most people have never heard of. 641 00:34:06,240 --> 00:34:08,880 Speaker 8: It's China's Ministry of State Security. It's sort of like 642 00:34:08,960 --> 00:34:14,600 Speaker 8: China's CIA and FBI combined. And we don't really know 643 00:34:14,760 --> 00:34:16,520 Speaker 8: a lot about it in the West. The guys who 644 00:34:16,600 --> 00:34:18,600 Speaker 8: work there are sort of like these ghosts. But we 645 00:34:18,600 --> 00:34:21,040 Speaker 8: were able to basically find out all this amazing detail 646 00:34:21,040 --> 00:34:24,320 Speaker 8: about this one MSS officer, and so we tell his story, 647 00:34:24,400 --> 00:34:25,439 Speaker 8: his rise and his fall. 648 00:34:25,840 --> 00:34:27,600 Speaker 2: Is he based in the US or in China? 649 00:34:27,760 --> 00:34:30,640 Speaker 8: Or he was based in China and if he had 650 00:34:30,680 --> 00:34:33,520 Speaker 8: stayed in China he would have been fine, but he 651 00:34:33,640 --> 00:34:35,880 Speaker 8: sort of makes a faithful decision to leave China at 652 00:34:35,880 --> 00:34:36,399 Speaker 8: a certain point. 653 00:34:36,440 --> 00:34:38,560 Speaker 3: Wait, let's just hear a little bit a little clip 654 00:34:38,560 --> 00:34:40,160 Speaker 3: from the show, just to give people a taste of 655 00:34:40,480 --> 00:34:42,239 Speaker 3: what they can look forward to. 656 00:34:44,239 --> 00:34:49,200 Speaker 10: This is Special Agent Regal Special Agent Bradley Hall. The 657 00:34:49,280 --> 00:34:55,359 Speaker 10: time is approximately eleven fifteen am, about to start consensual 658 00:34:55,760 --> 00:34:58,640 Speaker 10: telephone call with doctor Daiza. 659 00:35:00,080 --> 00:35:02,920 Speaker 2: Oh my gosh, what is happening in this call like set. 660 00:35:02,719 --> 00:35:05,080 Speaker 8: The scene, Okay, So, Mike Riegel is one of the 661 00:35:05,120 --> 00:35:08,080 Speaker 8: two FBI agents who are at the center of this case, 662 00:35:08,560 --> 00:35:12,800 Speaker 8: and Daiwa Jong is an engineer at ge Aviation who's 663 00:35:12,840 --> 00:35:16,880 Speaker 8: basically going about his business working on these very proprietary 664 00:35:17,040 --> 00:35:21,640 Speaker 8: technologies to make GE jet engines when the MSS reaches 665 00:35:21,680 --> 00:35:25,560 Speaker 8: out to him and says, we saw your LinkedIn page. 666 00:35:25,600 --> 00:35:28,360 Speaker 8: You look like a super prestigious smart guy. We'd like 667 00:35:28,400 --> 00:35:30,799 Speaker 8: you to come give a talk in China about what 668 00:35:30,840 --> 00:35:34,000 Speaker 8: you do, and that's often how these relationships start. So 669 00:35:34,040 --> 00:35:36,960 Speaker 8: he goes over, he gives this talk. They asked some 670 00:35:37,080 --> 00:35:40,520 Speaker 8: sensitive questions. He's very conscientious about it, not answering anything 671 00:35:40,520 --> 00:35:42,799 Speaker 8: he shouldn't answer, but he did kind of like take 672 00:35:42,800 --> 00:35:44,960 Speaker 8: a couple of files with him. It's just something he 673 00:35:44,960 --> 00:35:47,319 Speaker 8: shouldn't have done. He didn't tell his bosses about it, 674 00:35:47,360 --> 00:35:49,719 Speaker 8: also something he shouldn't have done. So he comes back 675 00:35:49,760 --> 00:35:52,560 Speaker 8: and basically the FBI kind of like he pops onto 676 00:35:52,600 --> 00:35:56,719 Speaker 8: their radar. They've also already been kind of interested in 677 00:35:57,000 --> 00:35:59,520 Speaker 8: Shu Yun June, who's our main guy back in China 678 00:35:59,520 --> 00:36:02,000 Speaker 8: for a little while, so they see this as an 679 00:36:02,040 --> 00:36:05,560 Speaker 8: opportunity to try to put in a double agent. So 680 00:36:05,640 --> 00:36:08,680 Speaker 8: they basically use this g engineer. They sort of have 681 00:36:08,840 --> 00:36:11,440 Speaker 8: him seem really interested in working with the MSS and 682 00:36:11,480 --> 00:36:14,040 Speaker 8: giving up all these secrets, and so that's the lure 683 00:36:14,120 --> 00:36:17,560 Speaker 8: they use, and this call is kind of like part 684 00:36:17,600 --> 00:36:20,920 Speaker 8: of the process of trying to get Shoe the MSS 685 00:36:20,960 --> 00:36:22,960 Speaker 8: officer interested and hooked. 686 00:36:23,360 --> 00:36:24,320 Speaker 5: Fifth episode comes. 687 00:36:24,200 --> 00:36:27,719 Speaker 8: Out tomorrow and then then there's two more weeks that 688 00:36:28,160 --> 00:36:30,439 Speaker 8: people can catch up before the sixth episode. 689 00:36:31,160 --> 00:36:34,080 Speaker 2: And it sounds like very It's like a Spine novel. 690 00:36:34,440 --> 00:36:35,520 Speaker 5: It is like a Spye novel. 691 00:36:35,560 --> 00:36:37,879 Speaker 8: I mean, the sort of amount of detail that we 692 00:36:37,880 --> 00:36:41,480 Speaker 8: were able to get about Shoe Yan June and recordings 693 00:36:41,520 --> 00:36:45,280 Speaker 8: in Recordings amazing. He sort of seems to have compulsively 694 00:36:45,920 --> 00:36:48,200 Speaker 8: kept track of all the stuff in his life, stupidly 695 00:36:48,360 --> 00:36:50,760 Speaker 8: sort of secret stuff, but also like very personal stuff 696 00:36:50,840 --> 00:36:55,640 Speaker 8: about his like his gripes about his boss, like rejecting 697 00:36:55,640 --> 00:36:59,880 Speaker 8: his expense reports, his kind of like feelings about his marriage. 698 00:37:00,440 --> 00:37:03,280 Speaker 8: It's just it's like all it's a very deep portrait 699 00:37:03,400 --> 00:37:05,520 Speaker 8: that we're able to sort of draw on Drake. 700 00:37:06,000 --> 00:37:08,239 Speaker 3: No one is underrating the sixth Bureau. Everyone's got to 701 00:37:08,280 --> 00:37:10,960 Speaker 3: go listen to that y hopefully by now their soul. 702 00:37:11,040 --> 00:37:13,239 Speaker 5: What is your underrated story for the week? 703 00:37:13,920 --> 00:37:17,000 Speaker 8: My underrated story, and it's partly because I have been 704 00:37:17,040 --> 00:37:20,320 Speaker 8: marinating in China stuff, is that there is this summit 705 00:37:20,360 --> 00:37:23,760 Speaker 8: meeting coming up supposedly at the end of March between 706 00:37:23,800 --> 00:37:26,200 Speaker 8: Chijin paying and Donald Trump, and it's gotten kind of 707 00:37:26,239 --> 00:37:28,759 Speaker 8: lost in all the Iran news, but it is a 708 00:37:28,800 --> 00:37:32,760 Speaker 8: really big deal and it's kind of an interesting summit 709 00:37:32,880 --> 00:37:36,480 Speaker 8: because Donald Trump is kind of not a president that 710 00:37:36,560 --> 00:37:38,480 Speaker 8: kind of fought like normally for these things. There's this 711 00:37:38,520 --> 00:37:41,759 Speaker 8: whole kind of like pre process that happens with these 712 00:37:41,800 --> 00:37:44,080 Speaker 8: career foreign service officers are sort of like laying the 713 00:37:44,080 --> 00:37:46,520 Speaker 8: groundwork for this, and that's not doesn't seem to be 714 00:37:46,600 --> 00:37:50,120 Speaker 8: exactly happening. I mean, Scott, I think it's Bessett. I 715 00:37:50,160 --> 00:37:52,520 Speaker 8: think it's best in't and the Vice Premier of China 716 00:37:52,560 --> 00:37:54,839 Speaker 8: are sort of talking about stuff, but it's like it's 717 00:37:55,040 --> 00:37:58,279 Speaker 8: very focused on sort of trade stuff at the moment 718 00:37:58,320 --> 00:38:02,120 Speaker 8: for me like understandable reason, but there are other issues 719 00:38:02,120 --> 00:38:05,680 Speaker 8: like Taiwan, and you know, Trump kind of like freaked 720 00:38:05,719 --> 00:38:08,279 Speaker 8: everyone out in the kind of China foreign policy world 721 00:38:08,280 --> 00:38:10,400 Speaker 8: in the US recently where he said, because it's all 722 00:38:10,480 --> 00:38:14,000 Speaker 8: about these kind of very carefully modulated half things you say, 723 00:38:14,520 --> 00:38:17,520 Speaker 8: and so someone like he basically said like, yes, I'm 724 00:38:17,560 --> 00:38:21,120 Speaker 8: consulting with China on whether to do this arms deal 725 00:38:21,160 --> 00:38:23,200 Speaker 8: with Taiwan, which is like this huge no no, And 726 00:38:23,239 --> 00:38:23,759 Speaker 8: so he's just. 727 00:38:23,719 --> 00:38:25,320 Speaker 2: Sort of like, why is that a no no? 728 00:38:25,719 --> 00:38:28,240 Speaker 8: Because you don't want to give China like a veto 729 00:38:28,400 --> 00:38:31,239 Speaker 8: over your relationship with Taiwan, Like it's you kind of 730 00:38:31,280 --> 00:38:33,840 Speaker 8: don't want to let them tell us how we should 731 00:38:33,840 --> 00:38:36,440 Speaker 8: be with Taiwan. And so that was seen as kind 732 00:38:36,480 --> 00:38:38,280 Speaker 8: of this victory. But the other thing about Trump, obviously, 733 00:38:38,360 --> 00:38:41,319 Speaker 8: is like the outcome of these summit meetings is often 734 00:38:41,400 --> 00:38:45,680 Speaker 8: like some very carefully modulated statement, but Trump doesn't really 735 00:38:45,680 --> 00:38:47,280 Speaker 8: do that, and also like he'll say something. 736 00:38:47,239 --> 00:38:49,200 Speaker 2: Not a carefully modulated guy. 737 00:38:49,080 --> 00:38:49,759 Speaker 5: Go back on it. 738 00:38:49,800 --> 00:38:52,560 Speaker 8: So it's just like the whole summit apparatus is kind 739 00:38:52,560 --> 00:38:55,839 Speaker 8: of like, in this interesting moment right now, what are some. 740 00:38:55,760 --> 00:38:58,360 Speaker 2: Of the possible outcomes that make this an underrated story? 741 00:38:58,800 --> 00:39:01,719 Speaker 8: Well, he could, you know, this arms deal that Taiwan 742 00:39:01,960 --> 00:39:04,080 Speaker 8: is like it's kind of unclear what's going to happen 743 00:39:04,080 --> 00:39:06,640 Speaker 8: with that. I mean, I think the things that people 744 00:39:06,680 --> 00:39:09,560 Speaker 8: are talking about more? Are these are the tariffs? You know? 745 00:39:09,640 --> 00:39:14,160 Speaker 8: Are these sort of chip restrictions soybeans? People talking about soybeans. 746 00:39:14,200 --> 00:39:16,240 Speaker 8: That's like a big market for US farmers. 747 00:39:16,320 --> 00:39:19,600 Speaker 2: Yeah, yeah, well definitely check out the sixth Bureau. So 748 00:39:19,800 --> 00:39:22,399 Speaker 2: already five of the six episodes are up, so check 749 00:39:22,440 --> 00:39:24,560 Speaker 2: it out. Drake. Thank you so much for joining us, 750 00:39:24,560 --> 00:39:25,880 Speaker 2: and thank you for your underrated story. 751 00:39:26,120 --> 00:39:27,120 Speaker 5: Thanks guys. 752 00:39:34,040 --> 00:39:36,960 Speaker 2: This show is produced by Stacy Wong and Jasmine J. T. 753 00:39:37,120 --> 00:39:37,359 Speaker 5: Breen. 754 00:39:37,600 --> 00:39:41,440 Speaker 2: Magnus Hendrickson is our supervising producer, Sam Rogan, Handle's engineering 755 00:39:41,480 --> 00:39:45,480 Speaker 2: and Dave Purcell factchecks. Special thanks to Jeff Muscus, Julia Rubin, 756 00:39:45,520 --> 00:39:47,799 Speaker 2: and Maria Ling. If you have a minute, please rate 757 00:39:47,840 --> 00:39:49,480 Speaker 2: and review the show. It means a lot to us. 758 00:39:49,840 --> 00:39:52,160 Speaker 2: And if you have a story that should be our business, 759 00:39:52,280 --> 00:39:56,120 Speaker 2: email us. Everybody's at Bloomberg dot net. That's everybody's with 760 00:39:56,239 --> 00:39:58,920 Speaker 2: the nests at Bloomberg dot net. Thank you for listening, 761 00:39:59,120 --> 00:39:59,879 Speaker 2: See you next week. 762 00:40:01,480 --> 00:40:03,239 Speaker 3: The st