1 00:00:02,480 --> 00:00:19,240 Speaker 1: Bloomberg Audio Studios, Podcasts, Radio News. Hello and welcome to 2 00:00:19,320 --> 00:00:23,840 Speaker 1: another episode of the Odd Lots podcast. I'm Joe Wisenthal. 3 00:00:23,400 --> 00:00:24,520 Speaker 2: And I'm Tracy Alloway. 4 00:00:24,760 --> 00:00:26,720 Speaker 1: Tracy, what do you think the rich people are doing 5 00:00:27,040 --> 00:00:30,040 Speaker 1: these days? You know, Like, I know, there's a lot 6 00:00:30,120 --> 00:00:33,199 Speaker 1: of like big business people lining up or who have 7 00:00:33,360 --> 00:00:37,040 Speaker 1: lined up behind the Trump administration. But they have to 8 00:00:37,080 --> 00:00:41,040 Speaker 1: be kind of anxious, right because things like mass tariffs 9 00:00:41,080 --> 00:00:44,120 Speaker 1: and so forth, talk about reducing the role of the 10 00:00:44,240 --> 00:00:46,120 Speaker 1: dollar and global tra it has got to make them 11 00:00:46,159 --> 00:00:46,760 Speaker 1: kind of anxious. 12 00:00:46,800 --> 00:00:48,479 Speaker 2: I actually know the answer to this. 13 00:00:48,600 --> 00:00:50,640 Speaker 1: Oh yeah, as a person, no. 14 00:00:52,479 --> 00:00:55,520 Speaker 2: Because the New York Fed publishes a survey of consumer 15 00:00:55,600 --> 00:00:58,600 Speaker 2: sentiment where you can break it out by pay bracket, 16 00:00:59,160 --> 00:01:02,160 Speaker 2: and so the high pay bracket, it's probably not the 17 00:01:02,240 --> 00:01:06,080 Speaker 2: super super rich, but it is pretty rich. And yeah, 18 00:01:06,280 --> 00:01:08,959 Speaker 2: they're getting worried for all the reasons you just laid out. 19 00:01:09,160 --> 00:01:11,559 Speaker 1: But I do think if you exist in a pay 20 00:01:11,680 --> 00:01:13,319 Speaker 1: bracket that already sort of. 21 00:01:13,240 --> 00:01:15,840 Speaker 2: Suggests that you're not that right, not the real You're 22 00:01:15,880 --> 00:01:17,760 Speaker 2: not the real. You know, you're getting a pair what 23 00:01:17,840 --> 00:01:20,880 Speaker 2: high standards you have to But anyway, I think these 24 00:01:20,920 --> 00:01:22,400 Speaker 2: are really interesting times. 25 00:01:22,640 --> 00:01:26,640 Speaker 1: Needless to say, for the globe, for people who have money, 26 00:01:27,080 --> 00:01:31,400 Speaker 1: for people who have feet around the world where they 27 00:01:31,440 --> 00:01:33,240 Speaker 1: want to bet. You know, one of the things I 28 00:01:33,280 --> 00:01:36,039 Speaker 1: wrote about it last week were recording this March twenty fifth. 29 00:01:36,200 --> 00:01:38,600 Speaker 1: You know, one of the big trades that really had 30 00:01:38,600 --> 00:01:41,160 Speaker 1: been characterized the last fifteen years is like bet on 31 00:01:41,200 --> 00:01:43,840 Speaker 1: the US, literally against everything right by the S and 32 00:01:43,920 --> 00:01:46,959 Speaker 1: P five just you know, you get no payment for 33 00:01:47,000 --> 00:01:49,600 Speaker 1: global diversification. You didn't make any money in China, you 34 00:01:49,640 --> 00:01:51,960 Speaker 1: lost money, you didn't get any pay for em you 35 00:01:51,960 --> 00:01:54,360 Speaker 1: didn't really get anything in Europe at least for a 36 00:01:54,360 --> 00:01:57,040 Speaker 1: couple of weeks. So far this year, that's reversed pretty sharply, 37 00:01:57,120 --> 00:01:59,520 Speaker 1: and so one question is like, if you want glory, 38 00:01:59,600 --> 00:02:01,480 Speaker 1: should you look outside the US borders? 39 00:02:02,200 --> 00:02:06,720 Speaker 2: Right diversification finally potentially paying off, although again it's only 40 00:02:06,800 --> 00:02:10,400 Speaker 2: been like three weeks, but we have seen a lot 41 00:02:10,400 --> 00:02:13,080 Speaker 2: of people, in fact, we've recorded episodes about this talking 42 00:02:13,120 --> 00:02:16,760 Speaker 2: about how this is a huge sea change in global politics, 43 00:02:16,800 --> 00:02:20,639 Speaker 2: potentially in global markets as well. This big moment, similar 44 00:02:20,720 --> 00:02:23,440 Speaker 2: to the fall of the Soviet Union, something that could 45 00:02:23,480 --> 00:02:29,000 Speaker 2: forever alter Europe's economic and political and security paths. So 46 00:02:29,280 --> 00:02:30,680 Speaker 2: we'll see. 47 00:02:30,520 --> 00:02:33,320 Speaker 1: Big things are happening in Germany is like, we're gonna 48 00:02:33,320 --> 00:02:36,560 Speaker 1: spend hundreds of billions of dollars on defense. They've really 49 00:02:36,919 --> 00:02:40,519 Speaker 1: never done that. It's a change. So anyway, I'm really 50 00:02:40,520 --> 00:02:43,280 Speaker 1: excited about our guest, someone I've known and talked to 51 00:02:43,560 --> 00:02:46,120 Speaker 1: numerous times over the years, but we've never had on 52 00:02:46,160 --> 00:02:50,520 Speaker 1: the podcast, luminary in the Worlds of journalism, previously a 53 00:02:50,520 --> 00:02:54,000 Speaker 1: financial journalist, an interesting guy who suddenly popped up. He 54 00:02:54,040 --> 00:02:57,280 Speaker 1: started posting again recently, and so that'll I was like, oh, 55 00:02:57,320 --> 00:02:59,680 Speaker 1: maybe here's in New York City these days, we're going 56 00:02:59,720 --> 00:03:02,120 Speaker 1: to be speaking with Nick Denton. He used to work 57 00:03:02,120 --> 00:03:04,040 Speaker 1: at the Ft, used to work and he wrote a 58 00:03:04,040 --> 00:03:06,440 Speaker 1: book and many most people would probably know him as 59 00:03:06,520 --> 00:03:09,640 Speaker 1: the founder of the Gawker family of websites. He currently 60 00:03:09,760 --> 00:03:12,840 Speaker 1: is a new thing called a Futua Kiato. He's gonna 61 00:03:12,840 --> 00:03:15,600 Speaker 1: be some sort of journalism trading kind of hybrid. Maybe 62 00:03:15,639 --> 00:03:17,840 Speaker 1: we'll find out what that is. Nick, Thank you so 63 00:03:17,919 --> 00:03:19,200 Speaker 1: much for coming on Odd Lots. 64 00:03:19,280 --> 00:03:20,200 Speaker 3: It's gonna be fun. 65 00:03:20,000 --> 00:03:23,320 Speaker 1: I have a question. I've known you for a long time, 66 00:03:23,360 --> 00:03:25,560 Speaker 1: but I've never asked you this. I actually don't know 67 00:03:25,639 --> 00:03:28,400 Speaker 1: the answer to this. Well, how would you describe your 68 00:03:28,440 --> 00:03:31,520 Speaker 1: political ideology. The reason I ask is that, you know. 69 00:03:31,600 --> 00:03:35,000 Speaker 2: Like, starting with an easy. 70 00:03:33,840 --> 00:03:36,760 Speaker 1: I'm just gonna like say, like the most awkward intro 71 00:03:36,920 --> 00:03:39,920 Speaker 1: to a guest ever. Your former company, Gawker was put 72 00:03:39,920 --> 00:03:43,120 Speaker 1: into bankruptcy in large part due to Peter Thiel. But 73 00:03:43,160 --> 00:03:44,920 Speaker 1: then I've talked to us, like I kind of think 74 00:03:44,960 --> 00:03:48,000 Speaker 1: he has like some like teallite sympathies at times, which 75 00:03:48,040 --> 00:03:49,760 Speaker 1: is a weird thing to say, but i'd like, Oh, 76 00:03:49,800 --> 00:03:51,400 Speaker 1: I'm sort of picking up on some of that. But 77 00:03:51,440 --> 00:03:53,200 Speaker 1: I don't know if I'm wrong. Are you like quietly 78 00:03:53,240 --> 00:03:54,640 Speaker 1: based how would. 79 00:03:54,400 --> 00:03:57,120 Speaker 4: You I remember a conversation with you actually on Twitter, 80 00:03:57,200 --> 00:04:01,760 Speaker 4: I mean a DM conversation and maybe twenty six twenty seventeen, 81 00:04:02,680 --> 00:04:06,400 Speaker 4: at the end of which you said, oh, maybe preference 82 00:04:06,480 --> 00:04:09,440 Speaker 4: falsification is happening on a very very wide scale. So 83 00:04:09,720 --> 00:04:13,160 Speaker 4: I think you may have been surprised back then at 84 00:04:13,160 --> 00:04:15,560 Speaker 4: the time. I would call myself a libertarian back in 85 00:04:15,600 --> 00:04:19,080 Speaker 4: Gorka days, but I don't think that's really accurate, okay, 86 00:04:19,120 --> 00:04:19,720 Speaker 4: because I. 87 00:04:19,680 --> 00:04:20,920 Speaker 1: Think, what do you know, just a liberal? 88 00:04:21,960 --> 00:04:29,080 Speaker 4: No, I'm probably an authoritarian, growth oriented follower of leak 89 00:04:29,160 --> 00:04:32,520 Speaker 4: one you and to a lesser extent, But thanks you 90 00:04:32,560 --> 00:04:36,320 Speaker 4: oping benevolent authoritarianism. 91 00:04:36,600 --> 00:04:38,240 Speaker 1: Okay, full contact alright, Tracy. 92 00:04:38,320 --> 00:04:41,880 Speaker 2: So Joe mentioned that you are a long time journalist, 93 00:04:41,920 --> 00:04:44,680 Speaker 2: a veteran journalist, and I think you started your career 94 00:04:44,839 --> 00:04:48,800 Speaker 2: in nineteen eighty nine covering the fall of the Soviet Union, 95 00:04:48,839 --> 00:04:50,880 Speaker 2: And as I mentioned in the intro, a lot of 96 00:04:50,960 --> 00:04:54,040 Speaker 2: people are kind of reaching for that analogy in describing 97 00:04:54,120 --> 00:04:58,040 Speaker 2: this moment in Europe. Do you think that holds is? 98 00:04:58,279 --> 00:05:00,760 Speaker 2: Are we seeing a shift on that kind of scale? 99 00:05:01,000 --> 00:05:04,080 Speaker 4: Well, I guess Nia Ferguson's piece we are all Soviets 100 00:05:04,120 --> 00:05:07,800 Speaker 4: Now was the one that got people thinking in these terms. 101 00:05:08,080 --> 00:05:11,440 Speaker 4: And then you know, yes, I was in Eastern Europe 102 00:05:11,440 --> 00:05:14,880 Speaker 4: in eighty nine and that was a very classic empire, 103 00:05:15,000 --> 00:05:22,120 Speaker 4: Soviet Empire, and a very classic uprising against it, demonstrations, unions, protests. 104 00:05:21,800 --> 00:05:24,000 Speaker 3: And eventually a complete collapse of legitimacy. 105 00:05:24,640 --> 00:05:29,800 Speaker 4: This American empire is definitely more subtle and been around 106 00:05:29,839 --> 00:05:32,720 Speaker 4: twice as long, a say, more subtle, more subtle, Yeah, 107 00:05:32,880 --> 00:05:34,200 Speaker 4: keep going hidden empire. 108 00:05:34,320 --> 00:05:35,920 Speaker 2: In fact, I think there's a book with that. 109 00:05:36,000 --> 00:05:39,320 Speaker 4: Name eighty years rather than forty. You know, it's been 110 00:05:39,400 --> 00:05:44,039 Speaker 4: a lot longer. It didn't end immediately with the fall 111 00:05:44,080 --> 00:05:46,400 Speaker 4: of the arm Curtain, and I think it's been in 112 00:05:46,440 --> 00:05:49,039 Speaker 4: all our heads as Europeans for a long time. You know, 113 00:05:49,080 --> 00:05:52,440 Speaker 4: I come from My father was an Atlanticist. I was 114 00:05:52,440 --> 00:05:55,200 Speaker 4: an Atlanticist. I saw the United States as being an 115 00:05:55,240 --> 00:05:58,760 Speaker 4: extension of Europe, a place where Europe had gone to 116 00:05:58,800 --> 00:06:02,880 Speaker 4: seek new adventures and new continents and new industries. And 117 00:06:03,400 --> 00:06:06,200 Speaker 4: that dream is utterly gone. 118 00:06:06,880 --> 00:06:10,400 Speaker 1: Because you still, you know, you have the World Economic 119 00:06:10,480 --> 00:06:13,120 Speaker 1: Forums of the world. Does anyone believe it anymore? 120 00:06:14,440 --> 00:06:17,640 Speaker 3: I mean, I guess the polls. 121 00:06:16,680 --> 00:06:20,599 Speaker 4: The Poles still seem to believe it for well, the polls, 122 00:06:21,400 --> 00:06:25,120 Speaker 4: and you know, in some English. But I think for 123 00:06:25,160 --> 00:06:31,080 Speaker 4: me the two key incidents not the abuse of Zelensky 124 00:06:31,120 --> 00:06:37,039 Speaker 4: in the Oval office, but the abuse of Denmark, a loyal, 125 00:06:37,680 --> 00:06:40,039 Speaker 4: small but loyal American ally. 126 00:06:39,800 --> 00:06:43,240 Speaker 1: The country that actually is arguably very much in alignment 127 00:06:43,240 --> 00:06:44,440 Speaker 1: on immigration policies. 128 00:06:44,440 --> 00:06:47,000 Speaker 4: Well, if you're going to talk about civilizational suicide, I 129 00:06:47,000 --> 00:06:49,839 Speaker 4: don't exactly know how you fit Denmark into that. Where 130 00:06:49,839 --> 00:06:53,360 Speaker 4: the social Democrats have actually stolen the entire agenda of 131 00:06:53,400 --> 00:06:56,000 Speaker 4: the of the right wing in Denmark, and as a 132 00:06:56,000 --> 00:06:58,440 Speaker 4: result there is really not much of a right wing 133 00:06:58,880 --> 00:07:02,160 Speaker 4: resurgence anymore or in Denmark, so Denmark totally chose the 134 00:07:02,200 --> 00:07:05,000 Speaker 4: way for a lot of social democratic parties in Europe. 135 00:07:05,400 --> 00:07:07,040 Speaker 4: So there was that, and then there was the abuse 136 00:07:07,040 --> 00:07:10,760 Speaker 4: of Radics Sakowski, you know, one of the prime atlantisists 137 00:07:10,800 --> 00:07:14,000 Speaker 4: in Poland calling it, you know, Elon Musk, you know, 138 00:07:14,000 --> 00:07:16,880 Speaker 4: with an assist from Marco Rubio telling him to be quiet, 139 00:07:16,960 --> 00:07:20,200 Speaker 4: little man. Now that might just seem petty on my 140 00:07:20,200 --> 00:07:22,840 Speaker 4: behalf to focus on that, but you're talking about, you know, 141 00:07:22,880 --> 00:07:26,080 Speaker 4: somebody who was absolutely in the American camp. And so 142 00:07:26,600 --> 00:07:29,960 Speaker 4: if they're abusing somebody like Radis Sikorski, they clearly don't 143 00:07:29,960 --> 00:07:31,600 Speaker 4: care at all about the Western Alliance. 144 00:07:32,200 --> 00:07:35,680 Speaker 2: And you're actually leaving the US now, right, Why have 145 00:07:35,760 --> 00:07:36,280 Speaker 2: you been here? 146 00:07:37,040 --> 00:07:39,120 Speaker 4: Yeah, to some extend, I've been gone since the end 147 00:07:39,120 --> 00:07:42,800 Speaker 4: of twenty sixteen. We came back for family reasons, and 148 00:07:43,040 --> 00:07:45,680 Speaker 4: now we're going for good selling the apartment. 149 00:07:46,840 --> 00:07:47,280 Speaker 2: How come? 150 00:07:49,000 --> 00:07:51,520 Speaker 4: I mean I was one hundred percent in US assets 151 00:07:52,000 --> 00:07:56,280 Speaker 4: pretty much in January, both in terms of stocks, real 152 00:07:56,360 --> 00:08:01,600 Speaker 4: estate and everything, and now it's pretty much for stocks 153 00:08:01,640 --> 00:08:05,440 Speaker 4: are one hundred percent China and Southeast Asia well, and 154 00:08:05,760 --> 00:08:10,080 Speaker 4: the real estates. We just got a nice, loved little 155 00:08:10,080 --> 00:08:12,080 Speaker 4: house in the Buddha Hills. 156 00:08:12,600 --> 00:08:16,440 Speaker 2: So you're you're diversifying in your portfolio, and in real life, I. 157 00:08:16,480 --> 00:08:21,200 Speaker 4: Guess the diversified portfolio would be something like US fifteen, 158 00:08:22,640 --> 00:08:26,040 Speaker 4: China fifty, rest of the world thirty five percent, something 159 00:08:26,160 --> 00:08:28,679 Speaker 4: like that. So I'm obviously not not doing that because 160 00:08:28,680 --> 00:08:31,760 Speaker 4: I think the adjustment is going to be an opportunity 161 00:08:31,800 --> 00:08:34,800 Speaker 4: for people to make money. So I guess it's going 162 00:08:34,800 --> 00:08:39,640 Speaker 4: to end up more or less where electricity production divides 163 00:08:39,720 --> 00:08:41,360 Speaker 4: up in the world. You know, I come from an 164 00:08:41,360 --> 00:08:44,840 Speaker 4: emerging markets reporting background too, where you couldn't really believe 165 00:08:44,840 --> 00:08:45,600 Speaker 4: any of the statistics. 166 00:08:45,640 --> 00:08:47,040 Speaker 3: You couldn't believe the GDP numbers. 167 00:08:47,200 --> 00:08:51,120 Speaker 4: The only numbers you couldlready believe maybe output and tradable sectors, 168 00:08:51,200 --> 00:08:54,480 Speaker 4: electricity output, that kind of thing. And so that's that 169 00:08:54,559 --> 00:08:56,760 Speaker 4: tends to be how I've looked at the markets now. 170 00:08:57,040 --> 00:08:59,640 Speaker 1: So you're going to be living full time. The Buddha 171 00:08:59,679 --> 00:09:03,439 Speaker 1: Hill looks very very nice part of Budapest. Who should 172 00:09:03,480 --> 00:09:07,200 Speaker 1: I believe about Orbon Should I believe Tucker that he's 173 00:09:07,240 --> 00:09:10,400 Speaker 1: a great defender of civilization or should I believe the 174 00:09:10,400 --> 00:09:14,199 Speaker 1: liberals that he's completely corrupted, not a friend at all? 175 00:09:14,840 --> 00:09:18,560 Speaker 4: I mean something in between a new orban, a bit 176 00:09:18,880 --> 00:09:21,800 Speaker 4: early on back in eighty nine when I was with 177 00:09:21,840 --> 00:09:26,640 Speaker 4: the FT for whatever four years in Budapest, and he 178 00:09:26,720 --> 00:09:29,480 Speaker 4: was always the most talented of his generation as a politician. 179 00:09:29,960 --> 00:09:32,920 Speaker 4: Clearly knew how to play the game, and clearly knows 180 00:09:32,960 --> 00:09:36,600 Speaker 4: how to play the game now, having channels open to China, 181 00:09:37,160 --> 00:09:40,480 Speaker 4: Russia and the United States and playing a small country's 182 00:09:40,520 --> 00:09:44,640 Speaker 4: hand really rather well. There's a giant BYD factory in Hungary, 183 00:09:44,720 --> 00:09:47,560 Speaker 4: there's a giant Coatl factory in Hungary. If it actually 184 00:09:47,559 --> 00:09:50,080 Speaker 4: comes down to it, I think most of Hunger's economic 185 00:09:50,080 --> 00:09:54,000 Speaker 4: interests are actually China aligned, So I think that's where 186 00:09:54,040 --> 00:09:58,120 Speaker 4: they'll end up forced. But there's no harm in maintaining channels. 187 00:09:57,800 --> 00:09:58,840 Speaker 3: With the other powers. 188 00:09:59,559 --> 00:10:01,320 Speaker 2: Just going back back to the intro, we were talking 189 00:10:01,320 --> 00:10:04,240 Speaker 2: about whether or not let's call them the global elite, 190 00:10:04,559 --> 00:10:07,280 Speaker 2: are feeling anxious at the moment. I think it's fair 191 00:10:07,320 --> 00:10:10,800 Speaker 2: to say you probably move in some of those circles 192 00:10:11,160 --> 00:10:15,160 Speaker 2: ultra wealthy. What are people saying right now, Like, what's 193 00:10:15,240 --> 00:10:16,960 Speaker 2: the mood music that you're hearing? 194 00:10:18,120 --> 00:10:18,640 Speaker 3: Well, we're going to. 195 00:10:18,679 --> 00:10:24,360 Speaker 4: Talk about antisemitism or not definitely, Okay, it's free, free space. 196 00:10:24,960 --> 00:10:29,319 Speaker 4: So when globalists get the blame for what was actually 197 00:10:29,360 --> 00:10:31,559 Speaker 4: at that time. I think only a five percent or 198 00:10:31,600 --> 00:10:37,040 Speaker 4: seven percent correction. When Trump blame globalists, I think it's 199 00:10:37,080 --> 00:10:39,280 Speaker 4: a foretaste of what will happen if there is a 200 00:10:39,360 --> 00:10:45,560 Speaker 4: significant repricing of assets in America the globalists quote unquote 201 00:10:45,559 --> 00:10:47,840 Speaker 4: globalists or is is it like four brackets? 202 00:10:47,880 --> 00:10:48,920 Speaker 3: I forget what the code is. 203 00:10:49,000 --> 00:10:51,160 Speaker 1: Yeah, there the three parentheses. 204 00:10:51,559 --> 00:10:56,840 Speaker 4: So the Cosmopolitans, the internationals to quote unquote European Wall 205 00:10:56,880 --> 00:11:00,800 Speaker 4: Street Journal, like any anything that seems internettional. Anybody who's 206 00:11:00,800 --> 00:11:03,680 Speaker 4: ever been to Davos or maybe just the Swiss Alps 207 00:11:03,679 --> 00:11:06,920 Speaker 4: full stop is going to come under suspicion and they 208 00:11:06,960 --> 00:11:09,439 Speaker 4: are going to be their life is going to be uncomfortable. 209 00:11:09,440 --> 00:11:12,240 Speaker 4: In the States, I think it's going to be uncomfortable. 210 00:11:12,240 --> 00:11:15,080 Speaker 4: They're going to be attacked from the left for being capitalist, 211 00:11:15,400 --> 00:11:18,040 Speaker 4: and they'll be attacked from the right for being unpatriotic. 212 00:11:18,520 --> 00:11:20,760 Speaker 4: And I think people are going to find, as they 213 00:11:20,760 --> 00:11:24,480 Speaker 4: did during the kind of the looting phase of the 214 00:11:24,520 --> 00:11:27,880 Speaker 4: twenty twenty protests, that there is no real sympathy for 215 00:11:27,920 --> 00:11:31,319 Speaker 4: the Soho Loft Duweller in an environment like this when 216 00:11:31,320 --> 00:11:34,200 Speaker 4: people are actually asking, so where did all the money go? 217 00:11:34,840 --> 00:11:36,839 Speaker 4: Where did all the money of the last twenty five years, 218 00:11:36,880 --> 00:11:40,280 Speaker 4: you know, during the during this period of American and exceptionalism, 219 00:11:40,320 --> 00:11:42,480 Speaker 4: when America was really the only place to put your 220 00:11:42,480 --> 00:11:45,320 Speaker 4: money if you wanted to invest your time or your 221 00:11:45,320 --> 00:11:46,200 Speaker 4: money in the future. 222 00:11:46,559 --> 00:11:49,040 Speaker 3: So where did it all go? What was left at 223 00:11:49,080 --> 00:11:49,480 Speaker 3: the end of it? 224 00:11:49,679 --> 00:11:51,560 Speaker 4: What's the high speed rail network? 225 00:11:51,640 --> 00:11:51,880 Speaker 3: You know? 226 00:11:52,000 --> 00:11:55,000 Speaker 4: Where are the new companies? And I think those questions 227 00:11:55,040 --> 00:11:56,560 Speaker 4: are going to be very hard for people to answer. 228 00:11:57,000 --> 00:11:59,760 Speaker 1: These are the thoughts that I have, like late at night, 229 00:12:00,040 --> 00:12:02,400 Speaker 1: crawling up my phone, and then I wake up and 230 00:12:02,440 --> 00:12:04,360 Speaker 1: I'm like, oh, like make my kids breakfast, and I 231 00:12:04,400 --> 00:12:06,080 Speaker 1: go to the work and it's fine and it's fun. 232 00:12:06,120 --> 00:12:08,920 Speaker 1: I love coming in here. And then like ten o'clock 233 00:12:08,960 --> 00:12:11,960 Speaker 1: at night, that's is like my mind. Oh too, So 234 00:12:12,200 --> 00:12:13,840 Speaker 1: like I was hoping, you know, want. 235 00:12:14,400 --> 00:12:16,439 Speaker 4: Have you spent Have you spent much time just playing 236 00:12:16,440 --> 00:12:17,080 Speaker 4: around with Ai? 237 00:12:17,559 --> 00:12:18,359 Speaker 1: Yeah? 238 00:12:18,440 --> 00:12:21,720 Speaker 2: He spends so much time playing around with AI, so 239 00:12:21,840 --> 00:12:22,880 Speaker 2: much office time. 240 00:12:24,400 --> 00:12:27,920 Speaker 4: What were you going to say, Well, un enormous circumstances, 241 00:12:27,920 --> 00:12:30,679 Speaker 4: I'd said, like, this transition would take a good long time. 242 00:12:30,800 --> 00:12:36,640 Speaker 4: You know, historically it takes decades, not years. But since 243 00:12:36,679 --> 00:12:39,120 Speaker 4: January twentieth, and I don't mean the Trumpe inauguration, and 244 00:12:39,280 --> 00:12:40,880 Speaker 4: I don't mean the Roman. 245 00:12:40,679 --> 00:12:42,360 Speaker 3: Salute by l or must but I mean the deep 246 00:12:42,400 --> 00:12:42,920 Speaker 3: seat drop. 247 00:12:43,360 --> 00:12:47,199 Speaker 4: Since January twentieth, I think it's actually clear that AI 248 00:12:47,440 --> 00:12:50,920 Speaker 4: is universal. It's going to be everywhere in every country, 249 00:12:51,040 --> 00:12:53,360 Speaker 4: on every chip. And one of the first things that 250 00:12:53,400 --> 00:12:55,040 Speaker 4: people are going to do with it is they're going 251 00:12:55,080 --> 00:12:57,400 Speaker 4: to ask how to make money, and then they ask 252 00:12:57,440 --> 00:13:01,839 Speaker 4: more sophisticated questions and have more sophisticated methods of working 253 00:13:01,840 --> 00:13:02,800 Speaker 4: out how to make money. 254 00:13:02,880 --> 00:13:05,320 Speaker 2: So you're doing something with this right, Like you have 255 00:13:05,360 --> 00:13:08,120 Speaker 2: a new venture where you're using AI to trade or 256 00:13:08,200 --> 00:13:09,120 Speaker 2: to research for trade. 257 00:13:09,200 --> 00:13:09,800 Speaker 3: Yeah, I just started. 258 00:13:10,080 --> 00:13:13,840 Speaker 4: I started actually doing a simple analysis of the electric 259 00:13:13,840 --> 00:13:18,840 Speaker 4: car market, projecting forward byd in Tesla sales to twenty thirty, 260 00:13:19,120 --> 00:13:19,880 Speaker 4: just to see. 261 00:13:19,679 --> 00:13:20,560 Speaker 3: Where it would end up. 262 00:13:20,600 --> 00:13:23,240 Speaker 4: And you know, to look at the you know who 263 00:13:23,360 --> 00:13:25,559 Speaker 4: is in the lead at every single level of the 264 00:13:25,679 --> 00:13:28,040 Speaker 4: value chain. And then you know, when you've got an 265 00:13:28,200 --> 00:13:30,240 Speaker 4: army of researchers that you're back and call, and you 266 00:13:30,280 --> 00:13:33,120 Speaker 4: know how to manage them well enough, you can get. 267 00:13:32,960 --> 00:13:34,720 Speaker 3: Pretty robust answers pretty quickly. 268 00:13:34,920 --> 00:13:37,000 Speaker 4: You know, our answers that then lead to you to 269 00:13:37,040 --> 00:13:39,200 Speaker 4: make trades that maybe you wouldn't have had the confidence 270 00:13:39,200 --> 00:13:42,120 Speaker 4: to make otherwise. And I think I'm not the only one. 271 00:13:42,720 --> 00:13:45,280 Speaker 4: So I think it's recursive that we all know that 272 00:13:45,320 --> 00:13:48,360 Speaker 4: we're all working more and more like this, and as 273 00:13:48,400 --> 00:13:53,080 Speaker 4: we recognize this in other people, so the feedback loops accelerate, 274 00:13:53,480 --> 00:13:57,320 Speaker 4: and so system changes that might have taken decades get 275 00:13:57,320 --> 00:13:59,160 Speaker 4: compressed into months or years. 276 00:13:59,320 --> 00:14:00,000 Speaker 3: That's my theory. 277 00:14:00,679 --> 00:14:02,959 Speaker 1: I'm actually not still totally convinced, you know, Like I've 278 00:14:03,360 --> 00:14:06,840 Speaker 1: I use AI tract kidding, I mean I do, and 279 00:14:06,920 --> 00:14:10,160 Speaker 1: I've used like deep research and many of them. I 280 00:14:10,240 --> 00:14:13,079 Speaker 1: still think it's just a tremendous amount of garbage. And 281 00:14:13,120 --> 00:14:15,440 Speaker 1: I don't say this, but I also want to. It's 282 00:14:15,480 --> 00:14:17,320 Speaker 1: funny when you are answer when you're talking about AI. 283 00:14:17,960 --> 00:14:20,520 Speaker 1: I could only imagine if chatipt you'd come out like 284 00:14:20,920 --> 00:14:26,560 Speaker 1: twenty thirteen, what you would have devised to torment Gawker writers, 285 00:14:26,600 --> 00:14:29,560 Speaker 1: something about making them compete with AI and very you know, 286 00:14:29,600 --> 00:14:32,360 Speaker 1: because all media organs have this like anxiety about well, 287 00:14:32,400 --> 00:14:34,240 Speaker 1: this is actually pretty good at writing, except and then 288 00:14:34,280 --> 00:14:37,000 Speaker 1: the journalists like you would have loved. You would have 289 00:14:37,080 --> 00:14:39,920 Speaker 1: loved torturing your writers in some way by making. 290 00:14:39,760 --> 00:14:42,520 Speaker 4: Them Competit prefers the torture the ais to compete with 291 00:14:42,560 --> 00:14:42,920 Speaker 4: each other. 292 00:14:43,040 --> 00:14:45,240 Speaker 1: But you would have you would have gotten a kick 293 00:14:45,240 --> 00:14:46,640 Speaker 1: out of it, I feel like, and they would have 294 00:14:46,680 --> 00:14:47,680 Speaker 1: really hated you for it. 295 00:14:48,680 --> 00:14:51,480 Speaker 3: Okay. I think that some kinds of journalists. 296 00:14:51,520 --> 00:14:53,920 Speaker 4: I wouldn't say you're abso the run of the mill journalists, 297 00:14:53,920 --> 00:14:56,760 Speaker 4: but some kinds of journalists are extremely well equipped. I 298 00:14:56,800 --> 00:14:59,560 Speaker 4: don't think they recognize the talents they have, and that 299 00:14:59,840 --> 00:15:03,920 Speaker 4: are ability to ask good questions or to play games 300 00:15:04,040 --> 00:15:07,080 Speaker 4: with somebody else who actually has information. But you want 301 00:15:07,080 --> 00:15:09,360 Speaker 4: to get out of them that their skill and playing 302 00:15:09,360 --> 00:15:12,080 Speaker 4: that game is actually is very is very powerful right now, 303 00:15:12,120 --> 00:15:15,840 Speaker 4: that they could be traders if they wanted to be, especially. 304 00:15:15,440 --> 00:15:18,520 Speaker 1: You, No, especially about me. I don't have to go. 305 00:15:34,640 --> 00:15:37,000 Speaker 2: What's been your best trade so far this year? 306 00:15:37,080 --> 00:15:38,520 Speaker 1: Yeah, good question, let's trader. 307 00:15:38,920 --> 00:15:42,160 Speaker 2: I guess by d and Zaomi and that was based 308 00:15:42,200 --> 00:15:44,040 Speaker 2: on your AI research. 309 00:15:45,240 --> 00:15:46,560 Speaker 3: Yeah, I'd look. 310 00:15:46,560 --> 00:15:48,680 Speaker 4: I've been into electric cars for a while. I'm a 311 00:15:48,760 --> 00:15:51,320 Speaker 4: gadget head. I look at things from a consumer standpoint, 312 00:15:51,600 --> 00:15:54,200 Speaker 4: not a producer standpoint. That's always what we sought to 313 00:15:54,240 --> 00:15:57,520 Speaker 4: do with Gizmoto and Kataku and Jelopnik and the other 314 00:15:57,960 --> 00:15:59,840 Speaker 4: consumer technology properties that we had. 315 00:16:00,240 --> 00:16:01,560 Speaker 3: And you look at. 316 00:16:01,400 --> 00:16:04,160 Speaker 4: These cars site by side, especially when you're talking about 317 00:16:04,160 --> 00:16:06,360 Speaker 4: the SU seven, when you're not a BYD car and 318 00:16:06,480 --> 00:16:07,200 Speaker 4: a Zomi car. 319 00:16:07,520 --> 00:16:09,760 Speaker 3: BYD is a battery factory, battery. 320 00:16:09,360 --> 00:16:13,240 Speaker 4: Company and Zamia phone company, and they both come into 321 00:16:13,280 --> 00:16:16,200 Speaker 4: the car sector. Zomi's very first car out of the 322 00:16:16,240 --> 00:16:19,760 Speaker 4: gate is really quite exceptional, with a very nice design, 323 00:16:20,280 --> 00:16:24,040 Speaker 4: totally automated or as automated manufacturing process as you're likely 324 00:16:24,080 --> 00:16:26,400 Speaker 4: to get, and anybody who's had their hands on it, 325 00:16:26,480 --> 00:16:29,000 Speaker 4: including the CEO of Ford, does not want to let 326 00:16:29,040 --> 00:16:32,480 Speaker 4: it go. It is clearly either half the price for 327 00:16:32,560 --> 00:16:35,000 Speaker 4: the same quality or twice the quality for the same price. 328 00:16:35,280 --> 00:16:38,560 Speaker 4: But we're not talking about twenty percent Japanese advantages as 329 00:16:38,600 --> 00:16:40,880 Speaker 4: they had in the eighties, but we're talking about fifty 330 00:16:40,920 --> 00:16:44,800 Speaker 4: to one hundred percent advantages in many areas. And the 331 00:16:44,880 --> 00:16:47,280 Speaker 4: lead of the Chinese manufacturers is extending. 332 00:16:47,680 --> 00:16:49,600 Speaker 3: So that seems pretty obvious to me. 333 00:16:50,280 --> 00:16:52,240 Speaker 1: Why do you think now one of the interesting things, 334 00:16:52,320 --> 00:16:54,160 Speaker 1: like I had to pulled up a chart of shell 335 00:16:54,240 --> 00:16:57,400 Speaker 1: me and BYD is a listener. I wrote about it 336 00:16:57,440 --> 00:17:00,800 Speaker 1: for a long time. For like the last ten years, 337 00:17:01,320 --> 00:17:04,120 Speaker 1: Chinese stocks have kind of been dead bunny. So even 338 00:17:04,119 --> 00:17:08,600 Speaker 1: though like the rise of Chinese manufacturing dominance has been 339 00:17:08,640 --> 00:17:11,840 Speaker 1: a story that's existed for several years. I wrote about 340 00:17:11,880 --> 00:17:13,800 Speaker 1: it this week in the newsletter two, it has not 341 00:17:13,920 --> 00:17:17,680 Speaker 1: redounded to the benefit of Chinese shareholders. This is a phenomenon, 342 00:17:17,720 --> 00:17:19,520 Speaker 1: and there's actually been this incredible amount of you know, 343 00:17:19,520 --> 00:17:22,040 Speaker 1: they talk about like overcapacity, and I don't really like 344 00:17:22,080 --> 00:17:24,359 Speaker 1: that term, but you know, the things that have not 345 00:17:24,560 --> 00:17:28,720 Speaker 1: benefited shareholders. Do you think something's changing on that front 346 00:17:29,080 --> 00:17:32,600 Speaker 1: such that the lead that these companies have now developed 347 00:17:32,840 --> 00:17:34,560 Speaker 1: will be monetized in a real way. 348 00:17:35,280 --> 00:17:38,120 Speaker 4: There are signs that China is opening up it's capital markets, 349 00:17:38,240 --> 00:17:40,600 Speaker 4: small signs to begin with, but you know, they've got 350 00:17:40,640 --> 00:17:43,359 Speaker 4: mainland funds investing in Hong Kong stocks. You've got the 351 00:17:43,400 --> 00:17:47,520 Speaker 4: anointing of various Chinese companies by Xijiping at the meeting 352 00:17:47,560 --> 00:17:48,600 Speaker 4: that they had whenever it was. 353 00:17:48,560 --> 00:17:49,920 Speaker 3: Three weeks ago, four weeks ago. 354 00:17:50,480 --> 00:17:53,560 Speaker 4: You have the I think recognition on social media that 355 00:17:53,640 --> 00:17:58,360 Speaker 4: you have the strongest pr The China has area of 356 00:17:58,880 --> 00:18:03,439 Speaker 4: nighttime videos of cyberpunk cities which cannot be argued with. 357 00:18:04,080 --> 00:18:07,959 Speaker 4: And you know YouTubers going for a ride in the 358 00:18:08,040 --> 00:18:10,919 Speaker 4: s U seven and being blown away by the acceleration. 359 00:18:11,160 --> 00:18:14,040 Speaker 3: And I actually don't think it's a total accident. 360 00:18:14,040 --> 00:18:16,840 Speaker 4: There's black YouTubers who seem to find it easiest to 361 00:18:16,880 --> 00:18:19,400 Speaker 4: embrace the quality of Chinese products. But I think you're 362 00:18:19,400 --> 00:18:22,720 Speaker 4: going to have you're going to have two different debates. 363 00:18:22,720 --> 00:18:25,480 Speaker 4: You're going to have invested Tesla narrative, which seems to 364 00:18:25,520 --> 00:18:28,160 Speaker 4: be almost exclusively political at this At this point, there's 365 00:18:28,280 --> 00:18:32,480 Speaker 4: very little product content in the pitch at all. In fact, 366 00:18:32,560 --> 00:18:36,199 Speaker 4: the only photographs you see of Tesla products usually involve 367 00:18:36,280 --> 00:18:38,680 Speaker 4: them being on flame in flames, and I'm talking about 368 00:18:38,840 --> 00:18:43,520 Speaker 4: Elon Must's own account. And meanwhile, the Sea of Jami is, 369 00:18:43,840 --> 00:18:46,359 Speaker 4: you know, is posting up product porn. 370 00:18:47,840 --> 00:18:48,720 Speaker 3: All around the clock. 371 00:18:48,960 --> 00:18:51,720 Speaker 4: And just in terms of a product battle, in terms 372 00:18:51,720 --> 00:18:53,800 Speaker 4: of features and in terms of marketing and in terms of 373 00:18:53,840 --> 00:18:55,640 Speaker 4: price point, the Chinese have won. 374 00:18:56,160 --> 00:18:57,040 Speaker 3: It's as simple as that. 375 00:18:57,119 --> 00:18:59,240 Speaker 4: And if you don't recognize that, well, you're just not 376 00:18:59,240 --> 00:18:59,840 Speaker 4: paying attention. 377 00:19:00,359 --> 00:19:03,560 Speaker 2: How do you actually go about valuing political risk or 378 00:19:03,560 --> 00:19:06,840 Speaker 2: trading on political risk? Because when I think about journalists 379 00:19:07,000 --> 00:19:11,920 Speaker 2: potentially trading the competitive advantage isn't really number crunching, right, 380 00:19:12,080 --> 00:19:15,359 Speaker 2: it's kind of looking into the company and feeling the 381 00:19:15,520 --> 00:19:18,240 Speaker 2: vibe and figuring stuff out that no one else has 382 00:19:18,280 --> 00:19:18,800 Speaker 2: seen yet. 383 00:19:20,160 --> 00:19:24,280 Speaker 4: It's a multi dimensional approach. So I mean, I assume 384 00:19:24,320 --> 00:19:28,160 Speaker 4: that the earnings forecasts are priced into the stock array, 385 00:19:28,680 --> 00:19:32,320 Speaker 4: so there's no point reanalyzing that. You might as well 386 00:19:32,359 --> 00:19:34,000 Speaker 4: just you might as well just take that as a given. 387 00:19:34,200 --> 00:19:35,960 Speaker 4: The question is what do you see that other people 388 00:19:36,040 --> 00:19:38,399 Speaker 4: do not? And you know, journalists tend to have an 389 00:19:38,400 --> 00:19:39,880 Speaker 4: idea of the momentum. 390 00:19:39,480 --> 00:19:40,040 Speaker 3: Of a story. 391 00:19:40,480 --> 00:19:42,520 Speaker 4: So for instance, right now, I just I would say, 392 00:19:42,560 --> 00:19:48,119 Speaker 4: speaking as a journalist and editor, that the fall of 393 00:19:48,280 --> 00:19:51,520 Speaker 4: Elon Musk is the greatest business story of my entire life, 394 00:19:52,080 --> 00:19:55,560 Speaker 4: absolutely worth getting out of retirement for, because here you 395 00:19:55,640 --> 00:19:58,359 Speaker 4: have somebody who was real life iire man, you know, 396 00:19:58,800 --> 00:20:04,399 Speaker 4: absolutely genuinely has three well beating major achievements under his belt. 397 00:20:04,600 --> 00:20:06,560 Speaker 4: I don't care whether other people helped him do it, 398 00:20:06,600 --> 00:20:09,159 Speaker 4: but he made it happen more than anybody else in 399 00:20:09,160 --> 00:20:09,919 Speaker 4: the Western world. 400 00:20:10,520 --> 00:20:11,480 Speaker 3: But the problem is there's. 401 00:20:11,280 --> 00:20:13,400 Speaker 4: Only one of him, and he's up against a lot 402 00:20:13,440 --> 00:20:16,840 Speaker 4: of Chinese competitors in cause, in robotics, in batteries, in 403 00:20:16,920 --> 00:20:18,920 Speaker 4: mobile phones, in a whole bunch of different fields. 404 00:20:19,000 --> 00:20:20,160 Speaker 3: And I think he's gonna lose. 405 00:20:20,440 --> 00:20:22,199 Speaker 1: We should sit on this for a second, or we 406 00:20:22,200 --> 00:20:24,080 Speaker 1: should stay with us for a second, because I think 407 00:20:24,080 --> 00:20:26,720 Speaker 1: there are a lot of people kind of like the 408 00:20:26,760 --> 00:20:30,720 Speaker 1: people who have called for let's see Trump wriggle out 409 00:20:30,720 --> 00:20:34,040 Speaker 1: of this one again, Like who've convinced themselves that actually, 410 00:20:34,080 --> 00:20:36,840 Speaker 1: this could never happen, that Trump will always wriggle out, 411 00:20:36,880 --> 00:20:39,440 Speaker 1: that Elon Musk will always riggle out, that he's always 412 00:20:39,520 --> 00:20:42,720 Speaker 1: able at the last second to find something because of 413 00:20:42,760 --> 00:20:46,000 Speaker 1: his cult to personality or genuine managerial skills for the 414 00:20:46,080 --> 00:20:49,600 Speaker 1: genuine managerial skills of the people right below his level. 415 00:20:50,000 --> 00:20:53,360 Speaker 1: You say, the story now is that the biggest this 416 00:20:53,400 --> 00:20:53,920 Speaker 1: is the fall. 417 00:20:54,760 --> 00:20:56,400 Speaker 3: I mean, I think this is the fall. I think 418 00:20:56,440 --> 00:20:58,399 Speaker 3: he may have a couple more tricks up his sleeve. 419 00:20:58,720 --> 00:21:00,560 Speaker 4: But you know, if you think about, you know, the 420 00:21:00,600 --> 00:21:04,040 Speaker 4: gap between the Tesla fundamental value now as an electric 421 00:21:04,040 --> 00:21:08,320 Speaker 4: car company that is ex growth, Like just think about that, yeah, Like, 422 00:21:08,600 --> 00:21:12,440 Speaker 4: think how much their valuation depended on extrapolations of growth 423 00:21:12,520 --> 00:21:14,320 Speaker 4: and the interruption of that growth. What that means to 424 00:21:14,320 --> 00:21:18,119 Speaker 4: any net present value calculation. The it's national market so 425 00:21:19,640 --> 00:21:23,480 Speaker 4: plainly being torched byl Mask himself. You know, with all 426 00:21:23,520 --> 00:21:26,919 Speaker 4: of the pr and propaganda that he puts out that 427 00:21:27,040 --> 00:21:29,639 Speaker 4: might shore up the Magabase. But every single thing that 428 00:21:29,680 --> 00:21:32,159 Speaker 4: he does, every single pitch on the wild on the 429 00:21:32,560 --> 00:21:34,760 Speaker 4: you know, in front of the White House, is turning 430 00:21:34,800 --> 00:21:41,280 Speaker 4: off both natural Tesla buyers and the big blue cities everyone, 431 00:21:41,400 --> 00:21:44,959 Speaker 4: everybody except for the Magabase, you know, so you're going 432 00:21:45,000 --> 00:21:46,360 Speaker 4: to probably. 433 00:21:46,040 --> 00:21:48,000 Speaker 2: Don't buy that many evs anyway, Well. 434 00:21:47,880 --> 00:21:51,040 Speaker 4: Apparently they are buying some, so it's not entirely it's 435 00:21:51,080 --> 00:21:54,600 Speaker 4: not entirely a fiction, but every single one that they 436 00:21:54,640 --> 00:21:59,920 Speaker 4: buy further cements this image as the magamobile and kills 437 00:22:00,080 --> 00:22:02,920 Speaker 4: the international story and international story which is in any 438 00:22:02,920 --> 00:22:05,879 Speaker 4: case in trouble. And because Tesla, you know, in China 439 00:22:05,960 --> 00:22:10,560 Speaker 4: doesn't have very exciting cars compared with the ones that 440 00:22:10,680 --> 00:22:12,640 Speaker 4: is that its competitors come out with, so I don't 441 00:22:12,640 --> 00:22:14,720 Speaker 4: think the international market is going to work, which means 442 00:22:14,720 --> 00:22:17,240 Speaker 4: that it's pretty much all down to robots. And he's 443 00:22:17,240 --> 00:22:20,760 Speaker 4: pretty much put all his chips on the Optimus, which 444 00:22:20,960 --> 00:22:24,159 Speaker 4: seems incredibly dangerous to me, and the mark of somebody 445 00:22:24,200 --> 00:22:28,160 Speaker 4: who's who's really desperate, and you know, putting it all 446 00:22:28,160 --> 00:22:30,919 Speaker 4: behind a very very risky race in which he is 447 00:22:30,960 --> 00:22:33,360 Speaker 4: starting from behind. How did you. 448 00:22:33,320 --> 00:22:35,880 Speaker 2: Get so into cars out of curiosity? 449 00:22:36,680 --> 00:22:38,920 Speaker 3: How do I get into cars? Isn't it just just 450 00:22:39,119 --> 00:22:40,040 Speaker 3: isn't that just something. 451 00:22:39,920 --> 00:22:43,520 Speaker 2: That just is you were born with an interest. 452 00:22:43,800 --> 00:22:45,040 Speaker 3: Like a cyber truck. 453 00:22:45,240 --> 00:22:48,639 Speaker 4: I mean, I was very disappointed when I saw the 454 00:22:48,760 --> 00:22:51,840 Speaker 4: metal panel. I thought somehow, I guess I didn't research enough. 455 00:22:51,880 --> 00:22:54,440 Speaker 4: I thought it looked like it had been forged somehow, 456 00:22:55,080 --> 00:22:58,159 Speaker 4: a single and then to see so I think the 457 00:22:58,200 --> 00:23:01,639 Speaker 4: most damaging thing for Tesla, the most damaging video for Tesla, 458 00:23:01,760 --> 00:23:04,239 Speaker 4: apart from the I Love Speed video, but the most 459 00:23:04,320 --> 00:23:07,000 Speaker 4: damaging video for Tesla is actually seeing the metal panels 460 00:23:07,240 --> 00:23:10,520 Speaker 4: come off because the glue isn't they use the right glue, 461 00:23:10,720 --> 00:23:13,280 Speaker 4: And that just sort of kills the mystique of something 462 00:23:13,280 --> 00:23:15,920 Speaker 4: that was sort of pitched as a Mars rover that 463 00:23:16,000 --> 00:23:21,240 Speaker 4: you can so I think the you know, the Optimus 464 00:23:21,320 --> 00:23:25,040 Speaker 4: hasn't been seen since there was a video they put 465 00:23:25,040 --> 00:23:28,560 Speaker 4: out in December of it rather gingerly working its way 466 00:23:28,560 --> 00:23:30,639 Speaker 4: down a slope, a little bit better than Joe Biden, 467 00:23:30,680 --> 00:23:31,359 Speaker 4: but not that much. 468 00:23:32,280 --> 00:23:34,760 Speaker 3: And meanwhile, if you follow it. 469 00:23:34,800 --> 00:23:38,640 Speaker 4: The pace of videos released onto social media by Unitary 470 00:23:39,000 --> 00:23:41,240 Speaker 4: and other Chinese makers. 471 00:23:40,880 --> 00:23:44,520 Speaker 1: It's got another conversation about I know they're beating us anywhere. No, No, 472 00:23:44,680 --> 00:23:45,840 Speaker 1: keep going. I know it's a big deal. 473 00:23:46,280 --> 00:23:50,400 Speaker 3: I mean, you can't spin that one. It can't be spun. 474 00:23:50,760 --> 00:23:53,960 Speaker 4: Like a demo is a demo, and they're doing demos, 475 00:23:54,000 --> 00:23:56,800 Speaker 4: and those demo they're kicking ass, they're doing side flips. 476 00:23:57,040 --> 00:23:58,160 Speaker 3: You know that there's a. 477 00:23:58,160 --> 00:24:01,680 Speaker 4: Race in Beijing next month, like a humanoid robot race. 478 00:24:02,160 --> 00:24:05,639 Speaker 4: If Musk was really feeling it, he'd have an entry. 479 00:24:05,960 --> 00:24:07,840 Speaker 4: There's no way that Ultimus is going to go up 480 00:24:07,840 --> 00:24:12,040 Speaker 4: against you. However, many hundred robot competitors there are in 481 00:24:12,160 --> 00:24:14,960 Speaker 4: China that are going to show up to that the 482 00:24:15,040 --> 00:24:16,400 Speaker 4: race is lost already. 483 00:24:16,880 --> 00:24:20,119 Speaker 2: It is crazy though, even with all the social media 484 00:24:20,200 --> 00:24:23,440 Speaker 2: evidence and demonstrations of what the cars can actually do, 485 00:24:23,520 --> 00:24:27,600 Speaker 2: you still have people who are kind of conspiratorial about 486 00:24:27,640 --> 00:24:30,800 Speaker 2: the social media videos. So I remember one came out 487 00:24:30,840 --> 00:24:35,040 Speaker 2: two or three weeks ago. It was Tesla versus I 488 00:24:35,119 --> 00:24:36,440 Speaker 2: think it was buyd You. 489 00:24:36,880 --> 00:24:39,720 Speaker 3: There was a Tesla Jaumisu seven race. 490 00:24:39,760 --> 00:24:43,320 Speaker 2: Maybe well this one it was a YouTuber who was 491 00:24:43,480 --> 00:24:46,919 Speaker 2: driving a Tesla into a fake wall to test the 492 00:24:47,119 --> 00:24:50,720 Speaker 2: self driving technology, and the car just went right through 493 00:24:50,760 --> 00:24:53,560 Speaker 2: it in a very dramatic fashion, and you had all 494 00:24:53,600 --> 00:24:58,920 Speaker 2: these people, I assume Tesla fanboys and Musk fanboys saying 495 00:24:58,960 --> 00:25:01,479 Speaker 2: that the video had been faked and that no one 496 00:25:01,520 --> 00:25:04,040 Speaker 2: should believe it, and that Tesla's technology is great. 497 00:25:04,280 --> 00:25:04,919 Speaker 3: It's very right. 498 00:25:04,960 --> 00:25:07,159 Speaker 4: I mean, it's very hard to kind of to tell 499 00:25:07,480 --> 00:25:10,639 Speaker 4: truth from fabrication these days. Some of the Chinese videos, 500 00:25:10,680 --> 00:25:12,160 Speaker 4: but one of them had to be repeated in front 501 00:25:12,160 --> 00:25:13,679 Speaker 4: of a mirror just to kind of prove that it 502 00:25:13,720 --> 00:25:15,879 Speaker 4: was real. But I don't think anyone's really questioned that. 503 00:25:16,040 --> 00:25:18,320 Speaker 4: You know, there's one where there's like a slightly smaller 504 00:25:18,400 --> 00:25:20,600 Speaker 4: humanoid robot that was actually dancing and sync with a 505 00:25:20,640 --> 00:25:24,240 Speaker 4: couple of human dancers. Oh yeah, I saw which, and 506 00:25:24,280 --> 00:25:26,199 Speaker 4: that one looked completely impossible to It was from two 507 00:25:26,200 --> 00:25:30,240 Speaker 4: different camera angles. That was impossible to fake. So it's 508 00:25:30,280 --> 00:25:32,480 Speaker 4: going to be hard for anybody really to compete with that. 509 00:25:33,160 --> 00:25:33,800 Speaker 3: That's my view. 510 00:25:34,000 --> 00:25:37,560 Speaker 4: And if that's the whole of your story after the 511 00:25:37,800 --> 00:25:41,199 Speaker 4: collapse of the international car market, then what remains beyond 512 00:25:41,240 --> 00:25:43,920 Speaker 4: that in terms of the Tesla story, apart from maybe 513 00:25:44,000 --> 00:25:47,359 Speaker 4: military contracts, so you start to get a little bit 514 00:25:47,400 --> 00:25:49,800 Speaker 4: more science fiction, Like if you're looking for exit. 515 00:25:49,640 --> 00:26:10,000 Speaker 1: Ramps, what do you think about the dominance of US 516 00:26:10,040 --> 00:26:14,440 Speaker 1: internet companies, because that was actually maybe even more than Tesla, Right, 517 00:26:14,520 --> 00:26:17,800 Speaker 1: like the story of the twenty tens, you know Facebook 518 00:26:18,119 --> 00:26:21,560 Speaker 1: that uh And when you get out of the United States, 519 00:26:21,840 --> 00:26:24,960 Speaker 1: did they still have a sort of lock or still 520 00:26:25,000 --> 00:26:28,080 Speaker 1: like deep competitive moats the way they were perceived to 521 00:26:28,119 --> 00:26:29,200 Speaker 1: have in the twenty tens. 522 00:26:29,480 --> 00:26:30,680 Speaker 3: That's great, a great question. 523 00:26:31,480 --> 00:26:33,720 Speaker 1: T talk exists, So that's a problem for them. But 524 00:26:34,000 --> 00:26:37,359 Speaker 1: it's improvable that a non US company can have a 525 00:26:37,400 --> 00:26:39,760 Speaker 1: gigantic social media But what do you think this is 526 00:26:39,800 --> 00:26:40,600 Speaker 1: where the money is? 527 00:26:41,560 --> 00:26:46,239 Speaker 4: Well, I think the type platforms are extraordinarily vulnerable and 528 00:26:46,400 --> 00:26:51,920 Speaker 4: the vulnerable for the same reason Tesla is vulnerable. Tesla's 529 00:26:51,920 --> 00:26:55,240 Speaker 4: biggest factory is in Shanghai. Tesla could be you know, 530 00:26:55,400 --> 00:26:58,320 Speaker 4: it could be kind of crippled with a signature on 531 00:26:58,320 --> 00:26:58,960 Speaker 4: a piece of paper. 532 00:26:59,200 --> 00:27:01,880 Speaker 1: Does US text your is never like to their benefit. 533 00:27:02,320 --> 00:27:04,560 Speaker 1: They never had a Chinese business. They don't have, you know, 534 00:27:04,640 --> 00:27:07,040 Speaker 1: like they never made Facebook's never made money in China. 535 00:27:07,160 --> 00:27:07,920 Speaker 3: Apple makes all. 536 00:27:07,840 --> 00:27:09,880 Speaker 4: Of its phones in China and has and has had 537 00:27:10,280 --> 00:27:14,960 Speaker 4: almost no success in diversifying its supply chain into India 538 00:27:15,359 --> 00:27:18,640 Speaker 4: or Vietnam. And I mean, look don't take my word 539 00:27:18,680 --> 00:27:20,600 Speaker 4: for the people I pay attention to it the right wing. 540 00:27:20,640 --> 00:27:24,320 Speaker 4: It's Palmer Lucky's recent interview, but he has a long 541 00:27:24,440 --> 00:27:27,919 Speaker 4: five minute spiel all about Apple and how easy it 542 00:27:27,960 --> 00:27:31,480 Speaker 4: would be for the Chinese government just to you know, 543 00:27:31,560 --> 00:27:34,879 Speaker 4: basically seize the factories and become the dominant supplier of 544 00:27:35,400 --> 00:27:38,280 Speaker 4: smartphones to the world. That you know, the most valuable 545 00:27:38,720 --> 00:27:43,200 Speaker 4: company in the existence of the United States could go 546 00:27:44,359 --> 00:27:46,600 Speaker 4: up like that with a couple of degrees. 547 00:27:46,800 --> 00:27:47,600 Speaker 3: And I don't think that. 548 00:27:47,600 --> 00:27:50,840 Speaker 4: Kind of risk is actually priced into the market. So 549 00:27:51,119 --> 00:27:53,600 Speaker 4: I have a short on Apple as well as Tesla, 550 00:27:53,680 --> 00:27:55,679 Speaker 4: and so I think that, you know, there are some 551 00:27:55,720 --> 00:27:58,399 Speaker 4: companies that are less vulnerable than that. But you know, 552 00:27:58,480 --> 00:28:02,240 Speaker 4: even the companies that have no industrial dependence on China, 553 00:28:02,600 --> 00:28:05,239 Speaker 4: you know, a company like you know, Facebook or X. 554 00:28:06,040 --> 00:28:09,240 Speaker 4: Would it not be reasonable for Europe to say tomorrow 555 00:28:09,320 --> 00:28:12,000 Speaker 4: that X should be X in Europe should be divested 556 00:28:12,640 --> 00:28:16,359 Speaker 4: as TikTok was that. You know that Europe is tired 557 00:28:16,400 --> 00:28:20,200 Speaker 4: of you know, American politicians interfering in its internal affairs, 558 00:28:20,560 --> 00:28:24,280 Speaker 4: and the full spectrum of free European speech should be 559 00:28:24,359 --> 00:28:28,520 Speaker 4: absolutely given a platform. But there's no reason why outsiders 560 00:28:29,240 --> 00:28:34,719 Speaker 4: non Europeans should either participate or should actually have our 561 00:28:34,800 --> 00:28:37,720 Speaker 4: ownership have control in such companies. It would be a 562 00:28:37,760 --> 00:28:41,640 Speaker 4: very reasonable, consistent thing to do. And what about Facebook, Like, 563 00:28:41,960 --> 00:28:44,560 Speaker 4: there isn't a huge amount of European antagonism towards Facebook 564 00:28:44,600 --> 00:28:48,520 Speaker 4: right now, because Facebook really does comply with local regulations. 565 00:28:48,920 --> 00:28:51,560 Speaker 4: But all of these companies are very much dependent on 566 00:28:51,600 --> 00:28:55,080 Speaker 4: goodwill and on the Western Alliance continuing to exist in 567 00:28:55,120 --> 00:28:56,160 Speaker 4: some form. 568 00:28:56,280 --> 00:28:58,640 Speaker 2: So speaking of Europe, I mean there is a sense 569 00:28:58,680 --> 00:29:01,719 Speaker 2: that Europe is way way behind when it comes to technology, 570 00:29:01,840 --> 00:29:06,040 Speaker 2: certainly versus a place like China. Do you have faith 571 00:29:06,200 --> 00:29:09,239 Speaker 2: that that's going to reverse or is it the case that, 572 00:29:09,320 --> 00:29:12,560 Speaker 2: like maybe they get good at something else, something non 573 00:29:12,640 --> 00:29:15,360 Speaker 2: tech like what is driving some of the optimism here. 574 00:29:16,640 --> 00:29:19,280 Speaker 4: I'm not actually invested in any European stocks right now. 575 00:29:19,600 --> 00:29:21,800 Speaker 3: I do think that Europe is sort. 576 00:29:21,560 --> 00:29:28,040 Speaker 4: Of a side story here, but the ratios all off, 577 00:29:28,280 --> 00:29:31,080 Speaker 4: you know, I do not believe that magically in two 578 00:29:31,120 --> 00:29:34,720 Speaker 4: thousand and eight the United States economy started to perform 579 00:29:35,040 --> 00:29:39,320 Speaker 4: brilliantly and Europe just slipped into stagnation. I think it's 580 00:29:39,360 --> 00:29:41,880 Speaker 4: actually much more likely that, you know, Europe went through 581 00:29:42,160 --> 00:29:46,120 Speaker 4: austerity and has been pretty much going through austerity ever 582 00:29:46,160 --> 00:29:49,240 Speaker 4: since in some shape or form until the recent decision 583 00:29:49,280 --> 00:29:53,400 Speaker 4: by the German government to finance rearmament, and the United 584 00:29:53,440 --> 00:29:57,200 Speaker 4: States has basically avoided austerity at every possible juncture that 585 00:29:57,360 --> 00:29:59,040 Speaker 4: you know, two thousand and eight, rather than being a 586 00:29:59,080 --> 00:30:01,320 Speaker 4: purge of Wall Street in the way that the dot 587 00:30:01,400 --> 00:30:04,680 Speaker 4: com crash was a purge of Silicon Valley, instead of 588 00:30:04,680 --> 00:30:06,480 Speaker 4: that being a purge of War Street, the economy was 589 00:30:06,520 --> 00:30:11,640 Speaker 4: immediately reinflated, and it's been reinflated after every single minor 590 00:30:11,720 --> 00:30:14,920 Speaker 4: correction ever since, and so we've basically got twenty five 591 00:30:15,000 --> 00:30:16,320 Speaker 4: years of bubble. 592 00:30:16,680 --> 00:30:19,080 Speaker 1: Could you see a world you know, you mentioned that 593 00:30:19,200 --> 00:30:21,520 Speaker 1: in the end it might just make more sense for 594 00:30:22,040 --> 00:30:24,600 Speaker 1: Hungary to just throw in its lot with China. That's 595 00:30:24,600 --> 00:30:27,440 Speaker 1: where the future is industrially, that's where that's his biggest 596 00:30:27,440 --> 00:30:30,760 Speaker 1: trading partner. Could you see I mean, like that be 597 00:30:30,920 --> 00:30:34,400 Speaker 1: you know, twenty years from now Germany making the same 598 00:30:34,520 --> 00:30:36,160 Speaker 1: calculation like core Europe. 599 00:30:36,960 --> 00:30:38,280 Speaker 3: I mean, I don't think it's gonna be twenty. 600 00:30:38,160 --> 00:30:42,360 Speaker 4: Years, Okay, so sooner, but you know, it's it's actually 601 00:30:42,400 --> 00:30:46,360 Speaker 4: madic if Europe is being bullied by Russia and the 602 00:30:46,480 --> 00:30:47,160 Speaker 4: United States. 603 00:30:47,320 --> 00:30:50,320 Speaker 3: Sometimes in concert. They want different things. 604 00:30:50,840 --> 00:30:54,960 Speaker 4: You both have territorial demands, and the United States is 605 00:30:55,000 --> 00:30:58,320 Speaker 4: also trying in a rather belligerent fashion to renegotiate, to 606 00:30:58,360 --> 00:30:59,840 Speaker 4: negotiate a debt restructuring. 607 00:31:00,160 --> 00:31:01,120 Speaker 3: It's a strange kind. 608 00:31:00,960 --> 00:31:04,200 Speaker 4: Of negotiation, which involves insulting all the people that hold 609 00:31:04,280 --> 00:31:06,640 Speaker 4: your treasuries. But it is a kind of negotiation. 610 00:31:06,800 --> 00:31:09,080 Speaker 1: But in some way it ends up ward. China is 611 00:31:09,200 --> 00:31:09,680 Speaker 1: a friend. 612 00:31:10,320 --> 00:31:13,240 Speaker 4: I think, you know, this has kind of lost Germany already. 613 00:31:13,960 --> 00:31:16,920 Speaker 4: I don't know whether, even if the tune change, whether 614 00:31:17,560 --> 00:31:21,200 Speaker 4: the German Atlanticists would revive. I think a kind of 615 00:31:21,320 --> 00:31:24,000 Speaker 4: trust has been broken, and a face of America has 616 00:31:24,040 --> 00:31:24,800 Speaker 4: been revealed. 617 00:31:24,840 --> 00:31:27,960 Speaker 3: It will be hard for people to forget. And there's 618 00:31:27,960 --> 00:31:29,480 Speaker 3: also been a you know, there's been a. 619 00:31:29,520 --> 00:31:35,560 Speaker 4: Nationalist resurgence in Canada, in Mexico, in China and in Europe. 620 00:31:35,640 --> 00:31:38,600 Speaker 4: You know, the people the Chinese, don't you know the 621 00:31:38,680 --> 00:31:41,040 Speaker 4: Chinese joke that you know, Trump is the great nation builder, 622 00:31:41,360 --> 00:31:43,960 Speaker 4: you know, the great nation builder of other nations. And 623 00:31:44,280 --> 00:31:48,080 Speaker 4: when Donald Tusk says reminds people that Europe is five 624 00:31:48,160 --> 00:31:50,600 Speaker 4: hundred million people who don't need to be begging three 625 00:31:50,680 --> 00:31:53,640 Speaker 4: hundred million American for help dealing with one hundred million 626 00:31:53,880 --> 00:31:58,320 Speaker 4: Russians who can't even handle forty million Ukrainians. When you 627 00:31:58,360 --> 00:32:00,360 Speaker 4: start to look at it a little bit differently, I 628 00:32:00,360 --> 00:32:03,720 Speaker 4: think some of that European graven this fools away. 629 00:32:04,800 --> 00:32:08,280 Speaker 2: So you mentioned the post two thousand and eight reaction 630 00:32:08,520 --> 00:32:10,160 Speaker 2: in the market, and I do think there is a 631 00:32:10,200 --> 00:32:14,760 Speaker 2: tendency on the part of policymakers to reinflate as quickly 632 00:32:14,760 --> 00:32:17,960 Speaker 2: as possible. And we've seen this over and over twenty 633 00:32:18,080 --> 00:32:21,400 Speaker 2: and eight, twenty twenty. They moved very very quickly to 634 00:32:21,560 --> 00:32:24,560 Speaker 2: get the market back up. And it does seem like 635 00:32:24,760 --> 00:32:30,560 Speaker 2: a very idiosyncratic characteristic of the US's political economy is 636 00:32:30,800 --> 00:32:35,280 Speaker 2: the importance of stocks and asset prices and this idea. 637 00:32:35,480 --> 00:32:39,160 Speaker 2: It really feels like everything kind of rests on your 638 00:32:39,360 --> 00:32:44,240 Speaker 2: portfolio of financial assets, so your retirement, your education, probably, 639 00:32:44,560 --> 00:32:49,000 Speaker 2: the things you buy, housing, basically everything. Are we just 640 00:32:49,160 --> 00:32:53,080 Speaker 2: doomed to be kind of forever tangled up with the 641 00:32:53,120 --> 00:32:55,800 Speaker 2: stock market or is there a realistic path for the 642 00:32:55,960 --> 00:32:59,880 Speaker 2: US to kind of move away from that, to disentang 643 00:33:00,200 --> 00:33:02,040 Speaker 2: itself from financialization. 644 00:33:03,200 --> 00:33:06,880 Speaker 3: I mean, you're totally hooked. Hm, You're totally hooked. 645 00:33:06,960 --> 00:33:10,560 Speaker 4: It's just it's been twenty it's been at least twenty 646 00:33:10,600 --> 00:33:11,720 Speaker 4: five years, be longer. 647 00:33:11,800 --> 00:33:14,040 Speaker 3: You know, you look at General. 648 00:33:13,720 --> 00:33:17,160 Speaker 4: Electric, you have the idea of shareholder value, which seems 649 00:33:17,160 --> 00:33:17,640 Speaker 4: so modern. 650 00:33:17,720 --> 00:33:20,240 Speaker 1: You know, I got a new fridge this week. This 651 00:33:20,280 --> 00:33:21,760 Speaker 1: is GE. I was like, I didn't even know G. 652 00:33:21,880 --> 00:33:23,200 Speaker 1: You'm still made fridge. It's a G. 653 00:33:23,800 --> 00:33:26,280 Speaker 3: Keep going, it's a badge or it's an I. 654 00:33:26,200 --> 00:33:27,800 Speaker 1: Looked at it. I got a new frigerator. You look 655 00:33:27,840 --> 00:33:28,880 Speaker 1: at it and I was like, oh, it's a G. 656 00:33:29,000 --> 00:33:30,520 Speaker 1: You logo on. I wonder who makes it? Anyway? 657 00:33:30,600 --> 00:33:34,400 Speaker 3: Keep I mean G. Jackson jack Wells' G is the warning. 658 00:33:35,000 --> 00:33:38,240 Speaker 4: Yeah, it's the warning of a company whose earnings were 659 00:33:39,000 --> 00:33:42,400 Speaker 4: massage carefully up so that it actually acted like. 660 00:33:42,400 --> 00:33:44,440 Speaker 3: A pension phone rather than a company. 661 00:33:44,760 --> 00:33:47,920 Speaker 4: And you know, people warned about the growing importance of 662 00:33:47,960 --> 00:33:53,080 Speaker 4: G finance and the financialization of America's prime manufacturing company, 663 00:33:53,480 --> 00:33:56,200 Speaker 4: and the whole conglomerate was left as kind of a 664 00:33:56,280 --> 00:33:57,880 Speaker 4: husk at the end of the process. 665 00:33:58,080 --> 00:33:59,680 Speaker 3: So that is the warning. 666 00:34:00,440 --> 00:34:04,880 Speaker 4: I I don't see how America kicks the habit. 667 00:34:05,200 --> 00:34:07,080 Speaker 3: You know, China had a policy of. 668 00:34:07,120 --> 00:34:11,279 Speaker 4: Hiding its light after cl being arguably right and through 669 00:34:11,480 --> 00:34:14,560 Speaker 4: right through up until twenty ten or so. You know, 670 00:34:14,640 --> 00:34:17,880 Speaker 4: arguably it's companies have hidden their light subsequently too. You know, 671 00:34:18,040 --> 00:34:20,759 Speaker 4: you look at their market values, you look at their trajectories, 672 00:34:20,760 --> 00:34:23,320 Speaker 4: it's nothing that impressive. But now we've got a moment 673 00:34:23,400 --> 00:34:28,000 Speaker 4: when you've got America pumped up through marketing and financialization, 674 00:34:28,440 --> 00:34:34,200 Speaker 4: and you've got China that has quietly built and produced, 675 00:34:34,640 --> 00:34:38,320 Speaker 4: and they are now being compared directly with one another 676 00:34:38,840 --> 00:34:43,960 Speaker 4: in b Yey versus Tesla, in Zami versus Apple, and 677 00:34:44,160 --> 00:34:46,560 Speaker 4: the comparison is pretty devastating. 678 00:34:47,640 --> 00:34:49,040 Speaker 1: Are your children learning Mandarin? 679 00:34:49,840 --> 00:34:49,920 Speaker 2: No? 680 00:34:49,960 --> 00:34:52,360 Speaker 1: I'm serious, like, because I some people are doing that now. 681 00:34:52,440 --> 00:34:54,400 Speaker 1: Yet I just have one last question. You know, I 682 00:34:54,520 --> 00:34:57,320 Speaker 1: joked that if AI had been around, I think you 683 00:34:57,360 --> 00:34:59,760 Speaker 1: would have found a way to torment the Garka writers. 684 00:35:00,160 --> 00:35:02,360 Speaker 1: You did do that because it wasn't Ai, but you 685 00:35:02,520 --> 00:35:05,000 Speaker 1: had this belief that, like, oh, the commenters, that's where 686 00:35:05,040 --> 00:35:07,320 Speaker 1: the real action is, and you're gonna make the writers 687 00:35:07,320 --> 00:35:09,800 Speaker 1: compete with the commenters, and if the commenters are creating 688 00:35:09,840 --> 00:35:12,520 Speaker 1: better content, then hey, so be it that they're better. 689 00:35:12,400 --> 00:35:12,960 Speaker 3: Than the writers. 690 00:35:13,320 --> 00:35:16,319 Speaker 1: And I feel like for several years since then, you've 691 00:35:16,360 --> 00:35:18,440 Speaker 1: always sort of clung to this belief that that's where 692 00:35:18,480 --> 00:35:20,919 Speaker 1: like the real action is in various ways. It's like, yeah, 693 00:35:20,960 --> 00:35:23,080 Speaker 1: like the people tell us a little bit about what 694 00:35:23,120 --> 00:35:25,120 Speaker 1: you're building now, and does it tap into that spirit? 695 00:35:25,440 --> 00:35:29,840 Speaker 4: And I guess I'm taking two lessons from the Gorka 696 00:35:29,920 --> 00:35:33,640 Speaker 4: experience and just the experience of seeing watching flame Wars 697 00:35:33,680 --> 00:35:37,279 Speaker 4: on the internet, since god knows when. Echo chambers are very, 698 00:35:37,360 --> 00:35:42,160 Speaker 4: very dangerous, and arguably the Gorka writers were in an 699 00:35:42,160 --> 00:35:45,800 Speaker 4: echo chamber from maybe twenty eleven through to twenty fifteen 700 00:35:45,880 --> 00:35:51,000 Speaker 4: when it well blew up. And when I see Elon 701 00:35:51,120 --> 00:35:54,160 Speaker 4: Musk on Twitter, you know, or Joe Rogan in the 702 00:35:54,200 --> 00:35:58,080 Speaker 4: podcast world, it all looks extremely familiar that, you know, 703 00:35:58,160 --> 00:36:00,560 Speaker 4: here you have somebody who's basically hanging a little bit 704 00:36:00,560 --> 00:36:04,280 Speaker 4: too much attention to the to the most engaged members 705 00:36:04,280 --> 00:36:04,920 Speaker 4: of the audience. 706 00:36:05,440 --> 00:36:08,839 Speaker 3: Audience capture is real. It's real. 707 00:36:09,080 --> 00:36:11,560 Speaker 4: And that's actually why I don't think that Musk is 708 00:36:11,560 --> 00:36:14,840 Speaker 4: capable of getting out of this vortex that he's trapped in, 709 00:36:15,200 --> 00:36:19,000 Speaker 4: because he's playing to that gallery, playing to the gallery 710 00:36:19,000 --> 00:36:21,640 Speaker 4: of I see extreme right wingers, and they are going 711 00:36:21,719 --> 00:36:24,600 Speaker 4: to lead him and each other off the edge of 712 00:36:24,640 --> 00:36:25,040 Speaker 4: the cliff. 713 00:36:25,680 --> 00:36:27,879 Speaker 1: Nick, thank you so much for coming on odd List. 714 00:36:28,000 --> 00:36:30,840 Speaker 1: That was one of the gloomiest episodes. I really think so, 715 00:36:30,920 --> 00:36:33,520 Speaker 1: I really think so. But I really appreciate you coming on. 716 00:36:33,600 --> 00:36:36,480 Speaker 1: It was fantastic and I'm glad we made it happen 717 00:36:36,760 --> 00:36:56,440 Speaker 1: while you still have the Well that was grim. 718 00:36:56,480 --> 00:36:59,800 Speaker 2: It was a fun conversation, fun, but the subject matter 719 00:36:59,840 --> 00:37:02,080 Speaker 2: was grim. You know what I realized as we were 720 00:37:02,239 --> 00:37:05,920 Speaker 2: sort of reminiscing about Cocker. I totally forgot I wrote 721 00:37:06,000 --> 00:37:09,640 Speaker 2: like a freelance piece or just a contribution to do 722 00:37:09,719 --> 00:37:10,920 Speaker 2: you remember Ion nine? 723 00:37:11,320 --> 00:37:11,560 Speaker 3: Yeah? 724 00:37:13,280 --> 00:37:16,440 Speaker 2: Yeah, and so I wrote this article about like some 725 00:37:16,560 --> 00:37:20,520 Speaker 2: Russian billionaire that is trying to like reach eternal life 726 00:37:20,600 --> 00:37:23,880 Speaker 2: through robotics or something. Obviously you wrote. 727 00:37:23,680 --> 00:37:25,640 Speaker 1: That for Ion nine. Yeah, I didn't know you wrote 728 00:37:25,680 --> 00:37:26,560 Speaker 1: an Ion nine piece. 729 00:37:26,680 --> 00:37:30,680 Speaker 2: Well, I'd totally forgotten. Yeah, but obviously you know, like 730 00:37:30,800 --> 00:37:33,880 Speaker 2: more than ten years later, we're still waiting for immortality, 731 00:37:33,920 --> 00:37:35,439 Speaker 2: so tech can only go so far. 732 00:37:35,920 --> 00:37:37,920 Speaker 1: I think we're gonna be waiting a lot longer than 733 00:37:38,040 --> 00:37:40,960 Speaker 1: ten years. I mean, I think there were two two 734 00:37:41,120 --> 00:37:44,799 Speaker 1: three things that I found bracing. One is the industrial 735 00:37:44,880 --> 00:37:49,040 Speaker 1: divide is massive and growing right between the US and China. 736 00:37:49,239 --> 00:37:53,680 Speaker 1: That seems real. That's really worrisome to me. The description 737 00:37:53,840 --> 00:37:57,080 Speaker 1: of the ways in which the current administration has like 738 00:37:57,120 --> 00:38:03,280 Speaker 1: insulted even like stalwart allies, Why mock Denmark and so forth? 739 00:38:03,600 --> 00:38:07,560 Speaker 1: That seems like a really big deal. And then obviously 740 00:38:07,760 --> 00:38:10,239 Speaker 1: you know the impulse to you know, you get a 741 00:38:10,280 --> 00:38:12,440 Speaker 1: little bit of a wobble in the sell off and 742 00:38:12,480 --> 00:38:16,160 Speaker 1: you blamed and I'm doing the prints the globalists. That 743 00:38:16,320 --> 00:38:16,920 Speaker 1: is disturbing. 744 00:38:17,360 --> 00:38:19,759 Speaker 2: Well, the other thing I was thinking about was, you know, 745 00:38:19,920 --> 00:38:24,520 Speaker 2: Nick mentioned China's starting to open up its capital accounts, 746 00:38:25,000 --> 00:38:28,560 Speaker 2: and it's kind of interesting, slash ironic that is happening 747 00:38:28,640 --> 00:38:31,560 Speaker 2: at the same time that the US seems to be 748 00:38:32,400 --> 00:38:34,719 Speaker 2: you know, they haven't done it yet, but there does 749 00:38:34,800 --> 00:38:39,040 Speaker 2: seem to be like this isolationist will when it comes 750 00:38:39,120 --> 00:38:43,040 Speaker 2: to capital markets, like maybe they don't want as much 751 00:38:43,120 --> 00:38:47,319 Speaker 2: foreign capital coming into the country, Like you get that sense, right, 752 00:38:47,360 --> 00:38:50,160 Speaker 2: And so they're the US and China kind of moving 753 00:38:50,160 --> 00:38:53,319 Speaker 2: in opposite directions. And then also like doing some of 754 00:38:53,360 --> 00:38:56,279 Speaker 2: the same stuff. It's interesting, like building out manufacturing. 755 00:38:56,360 --> 00:38:58,480 Speaker 1: Right. You know what I like about Nick that he's 756 00:38:58,520 --> 00:39:01,719 Speaker 1: a journalist who can act just like talk stocks. How 757 00:39:01,719 --> 00:39:04,279 Speaker 1: many journalists No, seriously, because there are journalists who are 758 00:39:04,280 --> 00:39:06,759 Speaker 1: in their specialty could say things, but how many of 759 00:39:06,800 --> 00:39:10,000 Speaker 1: them could just like bs with you a while about 760 00:39:10,040 --> 00:39:12,320 Speaker 1: like stocks. Nick can actually do that. It's actually really impressive. 761 00:39:12,360 --> 00:39:14,319 Speaker 2: I think you need to be careful about saying that 762 00:39:14,360 --> 00:39:16,839 Speaker 2: in an office full of at least like a few 763 00:39:16,920 --> 00:39:19,600 Speaker 2: dozen journalists who can on No. 764 00:39:20,000 --> 00:39:22,840 Speaker 1: Right, I feel like you're right. It's more than like 765 00:39:22,880 --> 00:39:24,880 Speaker 1: say like, eh, I'm short that or I'm long that, 766 00:39:25,160 --> 00:39:28,440 Speaker 1: and they'll like actually have a confident trading position. No. Look, 767 00:39:28,480 --> 00:39:30,520 Speaker 1: a lot of people can tell you a lot about stocks, 768 00:39:30,840 --> 00:39:33,239 Speaker 1: whether they're like I mean, I well, we can't. We 769 00:39:33,280 --> 00:39:36,360 Speaker 1: can't short stocks obviously at Bloomberg. But like most journalists 770 00:39:36,400 --> 00:39:40,120 Speaker 1: I've ever talked to generally don't have like yeah, I'm 771 00:39:40,160 --> 00:39:43,080 Speaker 1: short Apple and Tesla, I'm long Boidea to show me like, 772 00:39:43,719 --> 00:39:47,120 Speaker 1: you know, it just sort of by the index. Anyway, 773 00:39:47,280 --> 00:39:48,560 Speaker 1: I really enjoyed talking to Nick. 774 00:39:48,800 --> 00:39:52,080 Speaker 2: It was fun to reminisce and also think about the 775 00:39:52,200 --> 00:39:53,240 Speaker 2: very grim future. 776 00:39:53,719 --> 00:39:55,279 Speaker 1: Shall we leave it there, Let's leave it there. 777 00:39:55,440 --> 00:39:58,040 Speaker 2: This has been another episode of the All Blots podcast. 778 00:39:58,160 --> 00:40:01,480 Speaker 2: I'm Tracy Alloway. You can follow me at Tracy Alloway and. 779 00:40:01,440 --> 00:40:04,200 Speaker 1: I'm Jill Wisenthal. You can follow me at The Stalwart. 780 00:40:04,520 --> 00:40:07,959 Speaker 1: Follow Nick Detton. He's at Nick not Ned and check 781 00:40:07,960 --> 00:40:12,120 Speaker 1: out his new endeavor, Fututa Kiado. It's at Fututa Kiyado. 782 00:40:12,640 --> 00:40:15,839 Speaker 1: Follow our producers Carmen Rodriguez at Carmen armand dash Ol 783 00:40:15,840 --> 00:40:19,200 Speaker 1: Bennett at dashbod and Kele Brooks at Kale Brooks. For 784 00:40:19,280 --> 00:40:21,760 Speaker 1: more Odd Lots content, go to Bloomberg dot com slash 785 00:40:21,800 --> 00:40:24,400 Speaker 1: odd Lots, where you have all of our episodes and 786 00:40:24,480 --> 00:40:26,839 Speaker 1: you can read our daily newsletter, and you can chat 787 00:40:26,840 --> 00:40:28,960 Speaker 1: about all of these topics twenty four to seven in 788 00:40:29,120 --> 00:40:32,400 Speaker 1: our discord discord dot gg slash odlines. 789 00:40:32,719 --> 00:40:35,000 Speaker 2: And if you enjoy Odd Lots, if you like it 790 00:40:35,040 --> 00:40:38,000 Speaker 2: when we talk to journalists who actually have opinions, then 791 00:40:38,080 --> 00:40:41,680 Speaker 2: please leave us a positive review on your favorite podcast platform. 792 00:40:41,920 --> 00:40:44,719 Speaker 2: And remember, if you are a Bloomberg subscriber, you can 793 00:40:44,760 --> 00:40:48,120 Speaker 2: listen to all of our content absolutely ad free. All 794 00:40:48,160 --> 00:40:50,279 Speaker 2: you need to do is find the Bloomberg channel on 795 00:40:50,360 --> 00:41:00,520 Speaker 2: Apple Podcasts and follow the directions there. Thanks for listening 796 00:41:10,880 --> 00:41:10,920 Speaker 2: in