00:38:52 · Jordi Hays, John Coogan, Tyler
[00:38:52] S0: And the Founder LLC is kinda like the cool kids table. [00:38:55] S1: Yeah. So how how does the how does the Bernanke board feel about it? I don't know. We'll see. It's a lot of different governance. A lot of different governance, a lot of stuff to untangle for the media. But good luck out there if you're reporting on Anthropic. Fireside Alpha, Citrini says the preclinical bottleneck is monkeys, which take four years to breed and are harder to scale than memory supply. There's a huge shortage of monkeys and you can't really that's the problem the most that's probably the most important thing for preclinical testing. And I know a lot of people are going to be morally opposed to this, but I'll just say one thing, is for the medicine is closer than ever before to a world where it really is, I say closer than ever before. This is really rough transcript, fireside alpha. You should clean this up a little bit. But I guess it's accurate to what was said in the podcast. I know that sounds counterintuitive because it's well, okay. Well, are you investing in this company that does animal testing? Well, the reason for that is you get closer to that world. What you need is more data. Right? Like, you need more experimental data from animal testing, and monkeys are irreplaceable. So a bull market in monkeys... [00:40:08] S0: We gotta get [00:40:09] S4: into the monkey business.
00:40:09 · Tyler, John Coogan
[00:40:09] S4: into the monkey business. [00:40:10] S1: Yeah. You gotta get into monkey business. Yeah. Serial... There's serious money to be made in the monkey bottleneck, I suppose. I mean, we we we did hear reports about the the Chinese labs, Chinese monkey labs, I suppose, like going up in price. Right? Do you remember that? But you were... Tyler, you were saying that the Chinese AI bubble has like popped? What does that actually mean? [00:40:31] S4: Yeah. So Reuters posted this Okay. Yesterday. But I think since June, like AI companies broadly are down, like, 40%. Interesting. A lot of the labs that went public, zAI Yeah. Has been hurting. Unitry, since they IPO ed, like, a few months ago, is down, like, 50%. [00:40:45] S1: I wonder why. Is it fears of a ban or just the economics aren't looking as good because of the open source competition? I don't know. Also, I mean, the market cap across all the Chinese labs has to be a small fraction of the market cap in America. I mean, we're looking at almost 4,000,000,000,000 across the lab efforts in America, 5,000,000,000,000, and I believe it's like a 100,000,000,000 equivalent. [00:41:12] S4: Yeah. I've heard some people say, like, in China broadly, there's less incentive to kind of help out these companies because, the average person in China just doesn't hold that much... They they don't hold that many equities compared to The US. [00:41:24] S1: Sure. It's like [00:41:25] S4: their their company's largely based on real [00:41:26] S1: estate.... Pump. [00:41:27] S4: Yeah. So there's like less incentive to pump.
00:41:27 · Tyler, John Coogan, Jordi Hays
[00:41:27] S4: Yeah. So there's like less incentive to pump. [00:41:29] S1: You gotta go over to Korea. South Korea. Yeah. Real pump. Korea. Everyone's on leverage. Also, I mean, I wonder if their diffusion story is different in China because they have less white collar work and their economy is more manufacturing driven, which has been harder to diffuse AI into. I'm sure there's a lot of machine learning that has already diffused with, like, image recognition and automation. But just in terms of, like, we have a language model that can talk and do spreadsheets and word documents. How useful is that to, like, grow your GDP? Well, it's gonna be way more useful if you do a lot of legal work and a lot of finance work, and that's the the bread and butter of America. What do you think? Bullish China? Bearish China? You buying [00:42:11] S0: the chip? I think... Doesn't it all come down to like the the the way fewer people owning stocks? [00:42:19] S1: Maybe. [00:42:19] S0: Relative like like wealth in China is tied to real estate. Yeah. And it's also harder to get money into. The government has no incentive to like sort of really support or pump the market in the same way Yeah. As The US where so much of like Sure. US wealth is tied to the market.
00:42:19 · Jordi Hays, John Coogan
[00:42:19] S0: Relative like like wealth in China is tied to real estate. Yeah. And it's also harder to get money into. The government has no incentive to like sort of really support or pump the market in the same way Yeah. As The US where so much of like Sure. US wealth is tied to the market. [00:42:34] S1: Yeah. Yeah. Yeah. And Also, a lot of international funds were deploying capital in China and have pulled back on that because of capital control. So there's a lot of it's it's it's hard to put together a billion... A $100,000,000,000 equity raise in China. I'm sure sure sure surely harder than America where you can be pulling from Europe dollars. You can be pulling from Canadian pension funds. You can be pulling from The Middle East. You can be pulling from American hedge funds and all sorts of different... And then retail, obviously. Yep. Well, where do you wanna go next, Jordy? Pull something up and I will tell everyone about Shopify. Shopify is a commerce platform that grows with your business and lets you sell in seconds online, in store, on mobile, on social, on marketplaces, and now with AI agents. Thank you, guys. [00:43:19] S0: Soda wives. Yes. Put the timeline in turmoil. Speck said it's like TVP NYC and Call Her Daddy Had a Baby. Nuke. Anyways, so here's the thing. [00:43:34] S1: Yes. [00:43:36] S0: Sarah and Vivian, I I believe, are rage baiting. Okay. I believe they're sort of intentionally rage baiting.
00:43:36 · Jordi Hays, John Coogan
[00:43:36] S0: Sarah and Vivian, I I believe, are rage baiting. Okay. I believe they're sort of intentionally rage baiting. [00:43:42] S1: They talk about this in the episode. They said they wanted to go further with the rage bait and they wanted to call the show, or one of them wanted to call the show Trophy Wives as a joke, but it would have been even more of a rage bait than Yeah. Think. [00:43:55] S0: Yeah. That that... That's what But I'm back I believe they... [00:44:00] S1: Like, their strategy's working. [00:44:01] S0: It's working. It's working maybe a little too well. [00:44:07] S1: This post is so... The stats on this post are so funny. A million views, 450 likes, a 160 comments. They somehow got the made with AI tag on it, which I have no idea how you do that when it's a podcast clip. Like, it's clearly not AI. The lighting's amazing and the production value [00:44:24] S0: is We don't know that. [00:44:25] S1: Okay. Maybe this is some new model that's fantastic. Maybe it's Gemini or the new the new video model or [00:44:33] S0: world model for... But I've... Yeah. I've never seen so many people want a nuke SF.
00:44:33 · Jordi Hays, John Coogan
[00:44:33] S0: world model for... But I've... Yeah. I've never seen so many people want a nuke SF. [00:44:38] S1: The nuke SF meme is really strong. I've seen a lot of these these images of the nuke. And every variation of it too. You get you get the you get the animated one, the picture, and then you get the full the full three d animated explainer video of what would happen if the if a new kit hit San Francisco. Yeah. People are not are not reacting well outside of the tech bubble. I think inside, people will be into just like, yeah, like hanging out with some people who are tech insiders and just hearing them talk about... I think it's probably [00:45:12] S0: like a very relatable conversation for people that live in SF. Yes. That's But totally then the video is being seen by people all over the world.