TBPN Live - Tyler Cowen, Ara Kharazian, Jan Sramek, Nvidia to Make AI Supercomputers in the U.S., What Apple Has at Stake in China, Trump Alters Course on Tariffs

Episode Date: April 14, 2025

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Transcript
Discussion (0)
Starting point is 00:00:00 You're watching TVPN. Today is Monday, April 14th, 2025. We are live from the Temple of Technology, the fortress of finance, the capital of capital. It's great to be back, John. It is fantastic to be back. I hope you had a great weekend. I wanted to ask you something, Jordy. Have you heard the story of the three wells? No. Well, well, well. Well, well, well You got me well well well That was anyway moving on a very fatherly joke. Yes We have some breaking news Ray Fiends the actor you might know him from Voldemort from Harry Potter He's been in a bunch of fantastic movies the English patient red dragon Grand Budapest Hotel
Starting point is 00:00:46 Schindler's list. Well, guess what? He's jacked and we got a photo of it here. Let's hear it for Ray Keane. It's fantastic news, you'll love to hear it. 10 million views, he's looking absolutely diced. He is 62. He's 62 and he doesn't look like a day over 42, in my opinion. He looks great
Starting point is 00:01:06 Anyway, we got some big company announcement today. General matter has launched the latest founders fund such an unhinged way to start This is exactly they want to know about the latest and they come to the show. This is exactly what they come to the show. They want to know about the latest and greatest jacked 62-year-old storied Oscar-winning actor. And they also want to know about the latest Founders Fund incubation, which of course is general matter. Which is number two on our list of top stories. Yeah, after Ray Fiend's being jacked, getting really diced. Yeah.
Starting point is 00:01:44 But I mean, Scott Nolan looks great. He looks very young. I wouldn't be surprised if he looks better than Ray Fiend does when he's 62. That's right. But if you haven't been following, General Matter is the latest incubation out of Founders Fund, following in the footsteps of Palantir,
Starting point is 00:02:01 Anderol, Varda, and now General Matter. They are enriching uranium for the United States and they have their blog post here, their manifesto that went out this morning. We will revive nuclear fuel production in America. We choose to do this not because it is easy and not because it is hard but because it needs doing. Nothing gets made if fuel isn't made. America's ambitions from manufacturing to AI all require nuclear. It is the only source of energy that is reliable, scalable, and clean. It's not only our future,
Starting point is 00:02:30 but our present powering almost half of our clean energy and about roughly 20% of our grid today. Very under discussed that we haven't had the nuclear renaissance and nuclear power plant buildouts at the big scale have completely plateaued because of a bunch of regulation. Everyone kind of knows that story. But we're still generating 20% of our grid energy from nuclear, it's crazy. But you have- Yeah, and isn't it interesting to think about
Starting point is 00:02:55 100 years out in the future, 200 or 300, we'll look back at the sort of, at nuclear energy as this sort of, potentially this magical source of energy that we discovered and then decided actually like it's not so great and then realize like 40-50 years later oh yeah it's actually it's actually amazing it's actually amazing yeah we should do more yeah yeah who is it at radiant they have some t-shirt merch that's a SMR manufacturer for small nuclear reactors that's like it's like SMR manufacturer for small nuclear reactors.
Starting point is 00:03:25 That's like, it's like find the magic rocks out of the ground, let them heat up and then turn that into steam. And then like, that's how you get energy. And it's just like this amazing gift that we've kind of looked past for the last couple of years, but it's coming back. The US is currently forced to look abroad for our nuclear fuel. Despite pioneering the technology, we've since outsourced enrichment to allies, competitors, and adversaries.
Starting point is 00:03:46 We didn't just give up the lead. We're no longer even in the game. And there's some really weird places where modern nuclear companies are getting like decommissioned nuclear submarines. They take the fuel out of that because there's still a little bit left and then they refine it down and then they can use that.
Starting point is 00:04:03 Like the supply chain for nuclear fuel has been really, decimated and Scott's kind of the expert in this We'll have them on the show soon to break it all down for us I did an interview the language in here is amazing Yeah, to the raw material is embedded in the bedrock beneath our feet America's future is written in stone. That's great We are turning our potential into power and exceptional talent is needed. They've made some amazing progress. Scott's been thinking about this for I think like two years or so, but he's been thinking broadly about what he would do at Founders Fund and whether or not he would incubate
Starting point is 00:04:33 something for about 12 years. And he finally found something that was the right fit. There was no one building in this space. And he's also made a bunch of investments in nuclear companies. And I mean, consistently, it seemed like he said there was like a weak point in many of their presentations around where they were gonna get fuel. It was like, oh wow, super talented team,
Starting point is 00:04:56 incredible group of engineers. They're going to build a reactor in Radiant's case, like Doug is going to build that reactor. But then there was kind of a question mark about like, okay, if this really starts scaling, like you are very quickly going to be out of fuel and what's your plan? And every company in the nuclear space would say,
Starting point is 00:05:14 oh, well, like we'll figure it out when we get there. Or like maybe we'll keep buying it from Russia. And it's like, no. That's a good problem to have. Yeah, it is a good problem to have. So it didn't stop the underwriting of the investments. But Scott recognized that if the trend's real, and and it is there's gonna be a need for this company and no one else was building it So that's why he's starting to refine nuclear fuel, which is amazing and they are also recruiting
Starting point is 00:05:36 There's a recruitment poster that's gone up at college campuses across the country Jacob Rintomaki friend of the show Found one of these posters and solved it very quickly. It says, lost, the US lead in nuclear enrichment, not seen for decades, help us bring it home. Please text, and there's a formula here. Yeah, and these were all over the Stanford campus? Yeah, I think a few different campuses have seen them.
Starting point is 00:06:03 But if you can figure it out, give them a text. I took a look at it. I thought it was pretty easy, actually. I thought they could have done something a little bit harder. I was able to kind of just do it in my head. But for most people, they'll need to kind of incorporate chatty. You've been getting tutored by Scott Wu, right?
Starting point is 00:06:18 Yeah, yeah, exactly. Yeah, this is definitely something that I can just do in my head and just fire it off the text, say, hey, step it up on the next one, make it a little bit harder. Yeah. But if you actually really gonna, you're not really going to get the kind of quality you're looking for exactly easy. Yeah. Yeah. Yeah. Yeah. Exactly. As a podcaster. Yeah, exactly. Exactly.
Starting point is 00:06:35 But congrats to the team over a general matter. Very exciting. And cool to see this like evolution of like the Palantir, Anderol, Varda, general matter. There's this founders funds, this interesting company or this interesting fund that when they incubate stuff, this evolution of the Palantir, Anderol, Varda, General Matter. Founders Fund is this interesting company or this interesting fund that when they incubate stuff, it's usually stuff that no one's thinking about doing. And there's always been this question about, well, surely they're going to run out of ideas.
Starting point is 00:06:58 Surely there's not another really big hard tech company that no one's thought to build. And yet no one thought of this beforehand and so it's been and I'm sure this will inspire other people to get into the nuclear fuel business yes way too late yeah yeah yeah if you're moving now based on this announcement you're screwed it's good anyway we'll dig it we'll dig more into that this week and have Scott on the show. I actually want to do a whole energy day where
Starting point is 00:07:29 we have Scott and a bunch of the other nuclear founders on, maybe bring Casey Hammer back to talk about solar. Because interestingly, Casey and Scott kind of butt heads on the future of energy. Casey's the solar maxi. Scott's the nuclear maxi. The goat debate. What is the goat energy source?
Starting point is 00:07:45 Is it fission that we do here with nuclear fuel, like uranium, or is it fusion from the sun? Because sun's free. That's what the solar maxis would tell you, it's free. Don't even have to dig it up out of the ground. Just rains down on the earth. Yeah, just catch it. But obviously there are a lot of drawbacks to solar,
Starting point is 00:08:01 and there are drawbacks to nuclear as well. So we'll let them fight it out in the debate. I'd like to have both. I'd like to have both. I posted about this. I think the future of energy is underground nuclear reactors with windmills on top that have solar panels on the windmills. Just collect it all.
Starting point is 00:08:22 Why not? Why do you not put solar panels on top of every nuclear reactor? There's no reason not to. Just collect it all. Why not? Why do you not put solar panels on top of every nuclear reactor? There's no reason not to. Just do it. Yeah. Yeah. Make the smokestack out of solar panels. I was thinking the future of energy was like a, like basically like a sombrero or like a large hat that has a small nuclear reactor stored in it with a windmill on it. With a windmill on it. Yeah. Like the kid's cap. Yeah. Exactly. And it flies too. So if you want to get from point A to point B. You, like the kid's cap. Yeah, exactly. The kid's cap, and it flies too. So if you want to get from point A to point B.
Starting point is 00:08:47 You would wear that. You would, the guy who doesn't wear AirPods is gonna put a nuclear reactor on his head. Yeah, I for sure believe that Jordan. For sure, for sure, yeah. Anyway, let's move on to some DGen news. Actually with a great clip from Ray Dalio talking about, I'm worried about something worse than a recession
Starting point is 00:09:06 We have something that is much more profound. We have a breaking down of the monetary order I want to give you a quick update on what happened over the weekend with tariffs and how the market is reacting Ray Dalio Obviously runs Bridgewater huge hedge fund and he had a one-minute clip on meet the press breaking down his thoughts on the current tariff chaos and what's going on in the global economy let's play that clip and we'll react to it whether it goes slightly there we always have those things we have something that's much more profound we have a breaking down of the monetary order we are going to change the monetary order because we cannot spend the amounts of money. So we have that problem. And when we talk about the dollar and we talk about tariffs, we have that.
Starting point is 00:09:50 We are having profound changes in our domestic order, how ruling is existing. And we're having profound changes in the world order. Such times are very much like the 1930s. I've studied history and this repeats over and over again. So if you take tariffs, if you take debt, if you take the rising power challenging the existing power, if you take those factors and look at the factors, those changes in the orders, the systems, are very, very disruptive.
Starting point is 00:10:22 How that's handled could produce something that is much worse than a recession. I say America's built different and we're fine, actually. Sorry, Ray. Yeah, a little bit of a black pill. But he's been on this train for a while. So he's written about rise and fall of empires for a long time and he has been kind of, not like bullish on China but just saying that
Starting point is 00:10:46 like all the trends lead to China really given the United States run for its money and so I mean you could call it warning signs you could call it just kind of cynical calling balls and strikes but he has been worried about this for a long time and I mean it's important to listen when someone like Ray Dalio is commenting on something like this. It has been a chaotic time and it has been a time where it feels like it's potentially high risk, high reward. If it plays out and America becomes more dominant than ever with artificial intelligence, manufacturing, reshoring, robotics, automation, all those things could be really good. But if the dollar loses its dominance and we lose trade
Starting point is 00:11:26 and all of a sudden become isolationist, that could be a lot worse. Yeah, a little too early to say, to call that the entire monetary order of the world is being completely, you know, torn down. But- Yeah. And this is what we were talking about with Tracy Allouay
Starting point is 00:11:46 from Odd Lots about the basis trade, just that typically when the stock market in America sells off, you see interest rates fall, because there's a flight to quality. And there's nothing seen as more high quality than American government debt. But that hasn't happened this time. And that's very, very worrying,
Starting point is 00:12:06 because typically, you know, you should see people flooding into American government debt, but a few people put it like, we're trading like a developing nation now, which is not the way you wanna be trading. You want people to be buying those bonds. But we'll see where it's going.
Starting point is 00:12:22 Obviously, a lot of this could be rolled back. We saw Trump roll back a lot of tariff stuff over the weekend and um again you know his fingers on the button he can change the rules at any time if he rolls everything back maybe it goes back to completely normal uh you know this could play out in a million different ways and so uh it's it it really is like too soon to call almost every single time. So the Wall Street Journal editorial board summarized it. His custom office, Trump's customs office, announced tariff rate exceptions on electronics
Starting point is 00:12:55 on Friday that he renounced on Sunday. So President Trump is taking exception to the idea that his administration is offering exceptions to his punishing tariffs. That's the story after a confusing weekend that offers more lessons in the arbitrary nature of Trump trade policy. Late Friday the CBP, the Customs and Border Protection Department, issued a notice listing that products will be exempt from Mr. Trump's so-called reciprocal tariffs that can run as high as 145% on goods from China. The exclusions apply to smartphones, laptops,
Starting point is 00:13:24 hard drives, computer processors. Basically everything in tech, which got hammered super hard and is obviously super dependent on China. So you carve that out all of a sudden. It's like, okay, what are we actually doing here? Just like t-shirts and sneakers and T-Move stuff. But, and of course, everyone's reaction, my reaction was, wow, Tim Cooked.
Starting point is 00:13:44 Like Tim really just destroyed this with Apple. Yeah, everyone's reaction was, oh, Tim Cooked. Basically, it's like, you know, he set up Apple in this very precarious position, and then all of a sudden he gets a rate break, and it looks very good for Apple. But there's more to the story. So, the CBP notice takes the tariff rate
Starting point is 00:14:02 on those products down considerably. Barron's calculates that the exceptions cover 385 billion on 2024 imports that includes 100 billion from China, or 23% of US imports from that country. The tariff rate falls to 20% on the newly exempted Chinese exports. The press spent Saturday reporting this without Cavill from the White House. So so oftentimes when there's like a leak, it goes out the press reports it and the and the in the White House the same day when there's like a leak, it goes out, the press reports it,
Starting point is 00:14:26 and the White House the same day will be like, no, no, no, that was the Walter Bloomberg leak, right? But the Wall Street Journal weighed in with an editorial on Saturday afternoon noting that this meant a big reprieve for powerful tech companies, though not for smaller manufacturers. So if you're just some small American manufacturer
Starting point is 00:14:43 of size gongs and you make them in China, well, too bad for you, you gotta get in the iPhone game. Yeah, because the iPhone is now exempt, but the size gong market has been unchanged. Mr. Lutnick hasn't been the most reliable voice on the administration's plan, so that was taken with some caution. Finally, Mr. Trump jumped in late afternoon.
Starting point is 00:15:02 Nobody is getting off the hook for the unfair trade balances and non-monetary mon non-monetary tariff barriers that other countries have used against us, especially not China by far, which treats us the worst. He wrote, there was no tariff exemption announced Friday. These products are subject to the existing 20% fentanyl tariffs and they are moving into a different tariff bucket. Mr. Trump blamed
Starting point is 00:15:25 the press for reporting the exemptions that his own CBP had announced, albeit in stealth fashion at 10.36 p.m. Friday, and he announced that his administration is taking a look at semiconductors and the whole electronic supply chain for potential tariffs. And can you give me a public dot com update on what Apple has been doing over the last day or two or the weekend because I'd love to know how the market is reacting to this back yeah I mean Apple is up 13% on the last week let's go so I love to see it unsurprising only down 2% in the last month which is Wow given all the chaos that's crazy I, I get that there's like this back and forth battle that's going on, but to end up right where you started
Starting point is 00:16:10 is pretty good. Tim Cook, and he's earning his paycheck, as Ben Thompson wrote. Who knows? Perhaps Mr. Trump didn't like the reporting that tech giants like Apple and its shrewd and capable CEO, Tim Cook, were getting exceptions. Other winners in the CPB notice would be
Starting point is 00:16:25 Dell Technologies' Michael Dell, Jensen Wong of Nvidia, and the executives and shareholders of Hewlett Packard and TSMC. This is no rap on them since their job is to look out for the best interests of shareholders and that means getting tariff carve-outs if they can. Some of the companies may not have sought exemptions, though the opacity of the process for getting one
Starting point is 00:16:41 is the Beltway Swamp's dream. These CBP exemptions would be good news for consumers who were otherwise facing much higher prices for smartphones that are a staple of modern life. How would you like a $2400 iPhone? I think they should make a $2400 iPhone. They should make a gold plated one that's like 10K, for sure. I mean, they're vebling goods at this point.
Starting point is 00:17:02 You don't need to upgrade your iPhone, you just swap the battery out. Platinum iPhone. Platinum iPhone. I'm surprised we haven't. Carbon fiber. I'm surprised we vebling goods at this point. You don't need to upgrade your iPhone You just swap the battery out your platinum iPhone platinum. I'm surprised. I'm surprised It truly is fascinating that that phones haven't gone that far. Well Apple tried it with the watch They had the Apple watch edition that was gold-plated was $10,000 where the normal Apple watch is like 300 and it didn't sell well, of course because you buy a Apple Watch is like 300 and it didn't sell well of course because you buy a $80,000 Patek Philippe it's going to still tell the time just as well in a hundred years That's not true for the Apple Watch version 1 that's gonna be out of date
Starting point is 00:17:34 Not even be able to talk to the server because all the code changed. Yeah, but people buy something that's $5,000 from Balenciaga that's out of style in a year. It's not about the style It's about the functionality. Like the watch might not tell time and if you- No, I know, but so much luxury goods are about signaling, purchasing power, et cetera. Yep, maybe that's smooth. Maybe we should all buy Apple Watch editions
Starting point is 00:17:56 that just are completely broken and bricked. Yeah, and just be like, oh, can you tell me the time? No. No, no idea. Does that do your text messages on there? No. No, nothing. It's been bricked for six years because it's a 10 year old watch that costs 10 grand, but I'm flexing on you nevertheless. But there's better ways to flex. If you want to watch,
Starting point is 00:18:12 go to getbezels.com. Just do it. Just do it. Perhaps Mr. Trump doesn't like the exceptions that are, or doesn't like that exceptions are a tacit admission that tariffs will make American companies less globally competitive, especially in the artificial intelligence race. That explains the exemptions for ASML's chip making equipment and Nvidia's graphics processing units. Mr. Trump first makes US companies less competitive,
Starting point is 00:18:36 then he and his administration pick exceptions worthy of help to remain competitive. Politicians not success in the marketplace pick business winners and losers. So not very free market oriented, says the Wall Street Journal. Exemptions would also undermine the administration's legal justification that his tariffs are needed
Starting point is 00:18:54 to meet a national emergency. Imports of glassware and umbrellas from China are an emergency, but imports of electronics aren't. All of this exposes the political nature of tariffs. Some industries benefit and others don't. Too bad if you make shoes, clothing, or thousands of other consumer products that must pay the tariffs
Starting point is 00:19:11 but lack political or market clout. Yeah, we don't discuss politics, but Zach Weinberg, who was on the show Friday, had a post on Saturday that said, "'We have now entered the socialism phase of Trump "'where the government decides which industry you can have "'and which you can't. Congrats to all the free market small government voters
Starting point is 00:19:28 who have been tricked into voting for Donald Bernie Sanders. Donald Bernie Sanders. Next up, more government price controls, lobbying by corporate interests for exemptions and probably some taxpayer money going into harmed industries like farmers, supply shortages, and all the horrible things we actively hate about socialism. So, aggressive, but that was specifically
Starting point is 00:19:50 in response to the electronics news. Yeah, it's rough. It was first reported in Bloomberg, but we don't need to go through the Bloomberg article because it's kind of the same thing. But as these percentages get more complex, businesses have to pay a percentage of their revenue on various things.
Starting point is 00:20:08 That's right. What should they do, John? They should head over to Numeral HQ and organize their sales tax, put their sales tax on autopilot. Put it on autopilot. Spend less than five minutes per month on sales tax compliance.
Starting point is 00:20:18 Thousands of other fantastic companies are already using Numeral to put their sales tax compliance on autopilot and you should too. Yeah. So there's an interesting dynamic here where the big tech companies are going back and forth on the tariff stuff there. I think that regardless of where the final tariff number lands, Apple, Nvidia, these companies have gotten the message that at the very least if they don't
Starting point is 00:20:46 seriously consider reshoring or seriously consider getting out of China like Trump's just gonna make it chaotic for them and that's not good. He might not put them out of business He might not actually charge them a hundred percent tariff, but it's not gonna be fun There's gonna be lots of meetings about how to do things and Apple's gonna have to put you know iPhones on 747s and stuff and you're gonna be lots of meetings about how to do things and Apple's gonna have to put, you know, iPhones on 747s and stuff and you're gonna be getting a lot of calls from Shareholders totally totally asking. Yeah. Yeah. Have you seen this? Yeah Have you seen this Jensen? I'm a shareholder. Hey
Starting point is 00:21:18 But but but they're starting to take notice and so Brad Gerstner shares a post from Nvidia that Nvidia Blackwell chips have started production at TSMC's plants in Phoenix, Arizona. Nvidia is building a supercomputer manufacturing plants in Texas with Foxconn in Houston and Winstron in Dallas and so mass production at both plants is expected to ramp up and so there's another article in the Wall Street Journal about this and there's a very interesting book I'm trying to get the author on from is called Fox cond. And it's all about the timeline of Foxconn getting into the United States. And he tells the story
Starting point is 00:21:52 of a particular Foxconn plant in, I believe, Wisconsin, that didn't go well. And he kind of puts the whole project in the truth zone. It's very interesting read, trying to get in touch with him, but he doesn't really have like an internet presence whatsoever. But we're trying to get in touch with him but he doesn't really have like an internet presence whatsoever but we're trying to get more folks who have dug into the supply chain from the from the journalistic and from the academic perspective on the show to explain that to us but let's read through this Wall Street Journal article Nvidia said it would start producing AI
Starting point is 00:22:20 supercomputers that will be manufactured entirely in the United States and the funny thing about that is like, why are they using the term supercomputer? Like, because they could just say, hey, we're gonna produce a bunch of chips. Wait, wasn't Bloomberg also using the terminology? Gigafactories. Gigafactories.
Starting point is 00:22:37 Gigafactories. AI gigafactories. AI gigafactories, now it's AI supercomputers. You could just say, hey, we're gonna print out a ton of A100s or H100s, and then, yeah, companies will wire them together, and when they wire them together, you could call that a supercomputer, but.
Starting point is 00:22:51 It's a super computer plant. Yeah, the grass. Which is almost just incorrect, to call it a super computer plant. Well, I just don't think of, I don't think of Nvidia as building the't think of NVIDIA as building the supercomputer. I think of XAI building the supercomputer with a bunch of NVIDIA chips, and the NVIDIA GPUs, when they are wired together, they become the supercomputer.
Starting point is 00:23:16 But you don't really use the term supercomputer for a single chip or a single GPU unit. Although, this could be a shift and maybe Nvidia is building a data center. I think of supercomputer as a data center, basically. This will be the first time that AI super computers, which are used to power data centers that solely process artificial intelligence will be made completely in the United States. The move comes after Trump administration officials said over the weekend that they are conducting a trade investigation into semiconductors chip and chip enabled electronics will see new tariffs within a month or two, they said. So this is all part of like the 90-day pause
Starting point is 00:23:46 you know, we're pulling back from the brink and Renegotiating everything and so in that interim and video is clearly striking deals and also doing a ton of PR Yeah, and saying hey, how do we get in front of the Trump administration? Obviously we can get on the phone with them tell them our plans, but it's gonna read a lot harder Fox News I mean probably I wouldn't be surprised it happens, but also Placing a story like this in the Wall Street Journal This is going to be shared within the Trump administration and they're going to read this and say hey Nvidia not only told us that they that they have this deal
Starting point is 00:24:19 They went to the press and they and they put it on the on the record that they are going to be They went to the press and they put it on the record that they are going to be investing very heavily. And so Nvidia said it had commissioned more than one million square feet of manufacturing space to build and test its Blackwell chips in Arizona and AI supercomputers in Texas. Companies working with Foxconn on a plant in Houston and Taiwan's Winstron on a plant in Dallas. Mass production at both sites is expected to increase in the next 12 to 15 months. The recent flurry of reciprocal tariffs, particularly those targeted at China, have sent tech sector heavyweight
Starting point is 00:24:53 scrambling to access how their supply chains might be affected and shifted if the new sky-high rates aren't adjusted downward through negotiations. Comments from President Trump's team now appear to now be focusing on increasing U.S. semi-self-sufficiency, which is a related but different goal than implementing tariffs to close persistent trade gaps, Bank of America analysts said in a research note. Nvidia said it plans to produce up to $500 billion of AI infrastructure in the U.S. within the next four years and video shares were up in early trading amid a broad rally for tech stocks.
Starting point is 00:25:29 So clearly just making exactly enough for Stargate. Stargate can be an American made data center. I love it. Just like Trump wanted. That's great. When he went at the White House, he announced the project. I mean, it is like the idea of like reshoring the full semiconductor supply chain sounds super daunting,
Starting point is 00:25:49 but the early reports from TSMC's fab in Arizona have been very promising. And it's kind of been a narrative violation because everyone was saying like, oh, it's never gonna work. It's never gonna work. And like, apparently the fab at TSMC in Taiwan is so precise that if the tide water is slightly higher,
Starting point is 00:26:10 that will mean there's more moisture in the soil which produces more salt and people will track the salt into the building and then that will throw off the yield. Stuff like that is insane. The tiniest little earthquake over here can like completely destroy this. It's like, it's so fragile. And people kind of bought that. And then they also bought that like, hey, how you use an ASML machine is not in chat. Like this is a mastery, like a student teacher relationship.
Starting point is 00:26:40 But at the same time, if you're moving production into the United States, even if the yields are lower, it still makes sense to do from a business standpoint if there's a potential scenario in the next few years that Taiwan is invaded and all of your production is shut down. Yeah, and there might be incentives that offset the cost. Yeah, and again, with TSMC specifically,
Starting point is 00:27:00 it's not a wage arbitrage play at all. The people that work at TSMC are very highly paid. So there's no need where it's like, oh, like America doesn't have enough, like people that are willing to work for $3 an hour. Like that's not a problem in semis. It's more skills. Anyway, so shares of Nvidia were up
Starting point is 00:27:18 amid a broad rally for tech stocks. I love broad rallies, especially when you're participating in them on public.com, investing for those who take it seriously. They got multi-asset investing. They got industry leading yields. They're trusted by millions, folks. Head over to public.com. Just do it. And let's move on to what's happening with Apple with these tariffs. So the iPhone maker just received some reprieve from tariffs, but it is still heavily reliant on the Chinese manufacturing economy.
Starting point is 00:27:46 It helped build. Yeah, so we were talking about this. So planes filled with iPhones have been leaving the Chennai airport in Southern India for months, a last ditch effort by Apple to delay a tariff calamity. When President Trump last week ignited a trade war, it was clear that Apple could be hit hardest. And for more than a week,
Starting point is 00:28:04 it looked like time was running out for the world's largest company. Then late Friday night the company got some reprieve from the White House when the White House exempted iPhones, computers, and other electronics from its reciprocal tariffs. Trump had targeted China where Apple overwhelmingly makes its devices slapping the world's second largest economy with 54% tariffs that swelled to 145% amid tit for tat retaliation. The lower figure threatened to cut deeply
Starting point is 00:28:30 into Apple's big profit margin from China, made devices sold in the US. The higher figure could have obliterated it. It is unclear how long that relief might last. Apple shares are down 11% since the announcement and now they're like back to where they went. Which is crazy. Yeah, no longer fully accurate.
Starting point is 00:28:50 But yeah, the interesting thing, we were talking about this before the show around whether or not what was the real incentive for them to put all the iPhones on the 747s and fly them and make this sort of big show out of it. And I think it was just the sort of pragmatic thing to do. And then you said something that was interesting, which is that Apple always uses planes.
Starting point is 00:29:15 Almost always, yeah. There's reports that a lot of iPhones fly to America in the belly of 747s, usually passenger planes where there's just only so much luggage and most people don't even want to check bags these days, they want to keep their bag up here and in the pressurized cabin and so there's usually extra space but it's expensive to throw your products on there but if you're Apple you're fine and so
Starting point is 00:29:41 they've been doing that for a while, they've always had that infrastructure built up but this is hilarious because the how many iPhones can fit in a 747 is like the classic like McKinsey interview question and it's always like when would I ever need to do that calculation like I get that this is like an abstract your first Apple supply chain yeah and it's like oh this is actually extremely important to get right. And also, it's funny because you hear like five 747s full of iPhones, it's like hundreds of thousands
Starting point is 00:30:11 of iPhones or something, and it's like, it turns out that's like what they sell in like two or three weeks. And so, it's not like they moved so many that they're like out of the woods, oh yeah, we got six months of inventory out of the country. It's like, we might have saved like billions, but we make billions every single day.
Starting point is 00:30:26 And so, uh, it's one of those things where someone in the supply chain, uh, group saved the company a ton of money, but they are not out of the woods at all. And so they, they've been moving stuff around, but this is what Tim Cook is known for. Like in fact, he, you could, all of the, all of the questions about like, oh, Apple is no longer this like super Steve Jobs
Starting point is 00:30:49 design product driven, they're falling behind on Apple intelligence, Siri's not great, like Tim Cook doesn't seem to be leading into like this VR future, really, there's always this question of like, would Steve Jobs have shipped the Apple Vision Pro in that state? Like Tim Cook did, but maybe Steve Jobs wouldn't.
Starting point is 00:31:07 Well, like which is a bigger problem right now? Supply chain? Or like being a year or two behind on VR, which no one really has working, like this is an extreme bull case for like, Tim Cook is the right person to be at the helm right now, because I'm still using an iPhone even though series not great yet and they haven't released new products that have delighted and I
Starting point is 00:31:30 didn't keep my Apple vision pro but but keeping the price of these computers in half through amazing supply chain negotiations and amazing management of the Trump tariff policy like that is where Tim Cook will earn his pay and validate that like he really should be at the top of this company and any claims about like, oh, they're not moving fast enough. This is game seven for Tim Cook. Yep. Game seven. Job's not finished.
Starting point is 00:31:59 Job's not finished. And so people are saying that if this doesn't go according to plan an American iPhone could cost $3,500 it would be interesting to see what what I did to the market I don't think people would shift that much to Android because a lot of Android phones are made in China as well The bigger issue would just be people would just buy a lot less phones Like there are plenty of people that are on annual refresh cycles That would just switch to every two years or every three years
Starting point is 00:32:26 are on annual refresh cycles that would just switch to every two years or every three years because at $3,500 is really worth it for a slightly better camera or one extra button on the side. The improvements are so incremental. Once you triple the price, you're getting into a place where you're just not going to drive upgrades. So it took China 40 years to build a complex manufacturing supply chain, says a professor at ASU, who previously worked for Apple in China. We used to have that. It's a disaster that we let it go. And this is the interesting story of Apple and China.
Starting point is 00:32:59 Apple both helped China accelerate advanced manufacturing. But on the flip side, the iPhone would not be as popular if China hadn't existed to help the iPhone scale. Like in the early days of the iPhone rollout, it was such a popular device that they would never miss earnings because they were completely supply constrained. And so they would just go to their supply chain and say exactly how many iPhones can you make?
Starting point is 00:33:23 Okay, that's our forecast. Yeah. And now with, with, with VR headsets, it's like the demand and supplies like wildly disconnected and now they're missing earnings much more or not. Not like missing, but like it's much harder to forecast. Uh, so one, one reason Apple is so closely tied to China's electronic supply chain is that the company helped build it. It began working with Chinese suppliers more than two decades ago and increased production there in 20 in
Starting point is 00:33:45 2004 as a new hit product the iPod was taking off it had help from a friendly government and Apple in turn trained Suppliers to meet its exacting standards You know in time Apple helped build an ecosystem of more than 1,000 suppliers in China The iPhone maker taught them how to operate more efficiently so they competed with one another driving down Apple's costs. Apple manufacturing partner Foxconn built a compound so large in Zhengzhou that is known as iPhone City. Combining low costs with premium priced devices means Apple's share of profits for all smart smartphone production globally can top 80 percent even when its share of device shipments is below 20%
Starting point is 00:34:26 according to counterpoint research. Other countries don't offer the same promise as a manufacturing hub. Guthrie found when he studied alternatives for Apple, India has lots of workers, but bureaucracy can make it more difficult to move quickly. Apple suppliers in India have focused on two southern Indian states that have more streamlined processes. Apple supplier Foxconn has has its main India factories near Chennai. Indian officials hope the new tariffs on China would help the country take on more of the Apple supply chain beyond final assembly. But such an effort would take years.
Starting point is 00:35:00 Yeah, there's another there's another flip side of this, which is like there's some scar tissue at Apple from a previous manufacturing effort that Ben Thompson highlighted his strategy. Said Steve jobs in his first tenure at Apple was deeply committed to manufacturing, including building a futuristic factory in Fremont for the Mac. So he was all in on American manufacturing. I think this was back in the 80s, maybe the 90s. This merely cost the company millions. His attempt to do the same for Next all but drove the company out of business. So he left, he went to Next and was like, of course we're gonna have like the most futuristic
Starting point is 00:35:40 Gigafactory like what Tesla does now. But building your own manufacturing is extremely high stakes. Because if you don't build enough, you won't. It's very different than being really good at designing products. Totally. And so innovating.
Starting point is 00:35:55 So we almost went out of business at Next. What Apple needed and eventually found in China under Tim Cook was scalability. Apple would focus its integration chops on getting the product right and trust contract manufacturers to achieve the flexibility of meeting demand. And the flexibility of meeting demand in China is insane.
Starting point is 00:36:11 I heard some stat that there are 1 million migrant workers who travel to iPhone City for what's called the push, where there's a new iPhone coming out and they know that everyone's gonna upgrade right around the holidays, because the iPhone drops in like September, October, and then people buy it October, November, December. And then there's like a steady flow of them,
Starting point is 00:36:35 but the vast majority of the sales happen in that Q4 period, so you gotta manufacture them all right then. And so there's a million people that literally like live in the countryside, come in and just assemble iPhones like 18 hours a day for like three weeks or like grinds three months. Yeah And then and then they leave and and America just has nowhere near that amount of like labor Flexibility and neither does India right now. It is the estimate is that America has six million unemployed people
Starting point is 00:37:04 Yeah And neither does Vietnam. The estimate is that America has six million unemployed people. Yeah. So the idea that you're gonna get a large percentage of those people to just suddenly. All in one city. Yeah. And like we don't have cities that are set up for that, like when the Super Bowl happens, everything grinds to a halt.
Starting point is 00:37:17 When the Olympics happens, like it's a calamity in America. Whereas China's like, oh yeah, like we have a million apartments sitting right there vacant because we built them up over The last 20 years sure they all look like Soviet block like center. We had Coachella over the weekend Oh, yeah, hundred and twenty five thousand people. Yeah turns into a bit of a nightmare. It's a nightmare Yeah, I mean just getting out of Black Rock City for for Burning man is a disaster, but China's like really built up this infrastructure to allow flexibility.
Starting point is 00:37:46 They have a lot of empty apartments. They have a lot of empty apartments for sure. Which comes in handy. And so this more broadly is an important addition to the capability discussion above. Manufacturing has changed from being a point of integration with a product to being a horizontal scalable services offering, developing the customer service chops necessary
Starting point is 00:38:03 for such a business would be a significant cultural change for a US manufacturing base, ala Intel's struggle to become a foundry. To that end, one benefit of a war over Taiwan is that it would be so terrible for tech companies that there really isn't much benefit in planning for it. The hedging cost, which would entail building out those scalable horizontal service providers, which for economic reasons must serve more than one company or product would be so astronomical that it probably wouldn't be economical to do anything other than deepen the status quo and so if you think about Apple's approach to
Starting point is 00:38:34 the vision pro like that was an incredibly expensive product that could have been it was extremely hard to forecast because remember with during the rollout like there was all this like there was all this like energy around like, oh wow, they solved it. Like VR is finally here. Everyone's going to get this. Sure, it's a little expensive, but everyone's going to have it. And then the first week of Apple vision pro on X was like, this is incredible. I've seen the future.
Starting point is 00:38:58 I've seen the future. It's here. Everyone's got to have this. And I think people were right. And they saw the future. Yet the form factor wasn't quite there yet. Yeah. Yeah, they glimpsed it.
Starting point is 00:39:09 And so how do you forecast demand if you need to build out a massive manufacturing plant for Apple Vision Pros? If you get it wrong on the low side, you're not going to be capturing all the value while you're out of stock for years. And if you build out a massive automated facility, you're going gonna sell, you know, and then demand comes in weak. You have all this capex that you're not gonna repeat, like, you know, be able to reap the reward from, and it's just gonna be a disaster.
Starting point is 00:39:34 Whereas I'm sure Apple was pretty much unaffected by the Apple Vision Pro kind of being a flop, because they just went to their contract manufacturer and they were like, yeah, like, we're not gonna make that many of them. And they're like, okay, like, that kind of sucks for us, but we take the risk with you because we love working with Apple as well.
Starting point is 00:39:49 Yeah, the real pain there was a failed product launch around something that not necessarily failed. You can argue that it was fine. It was a demonstration of the technology and Apple will continue to invest whether or not that's really that true. But yeah, when you're selling 233 million iPhones a year, you can launch a new product and have it not do super well and you're going to be okay.
Starting point is 00:40:15 Yeah. And so Tim Cook used to yap about this, but he's kept his mouth shut over the last decade. But if you go back to CBS 60 minutes in 2015, he said the US over time began to stop having as many vocational kind of skills. You can make every, you can take every tool and die maker in the United States and probably put them in a room that we're currently sitting in. In China, you would have to have multiple football fields.
Starting point is 00:40:42 And I think that's so true because you asked the average person like and they're like What's a tool in die maker? I don't even know what job that is. That doesn't mean anything to me Just put the fries in the bag, bro That's what we're good at in America We do some vocational stuff, but it's not even a voice It's not vocation like putting fries in the bag is not something you need to go to a trade school for We do like extremely low skill and then extremely high skill like, oh, you have to understand
Starting point is 00:41:08 like PhD level philosophy for this job or whatever, or like, you know, legal or business or finance or medical or any of the stuff. But it is also the low skilled workers whom Apple needs. In China, there isn't only a massive supply of them available, but under the country's mobile labor system, which we discussed, they work for only a massive supply of them available but under the country's mobile labor system which we discussed they work for only a few months this army deploys to help Apple increase production volumes ahead of the US holiday system then retreats when volumes fall and so it's it's interesting to see how Apple's navigating this we'll see where it lands
Starting point is 00:41:40 but if Apple wants to control costs through a time like this they should go to ramp.com time is money save both easy corporate cards bill payments accounting and a whole lot more all in one place go to ramp.com no idea where that came from but we do have our Kharazian economist over at ramp coming in later to talk about what they're seeing across the ramp business corporation platform in terms of you know various you know economic data points so well excited to dive in there. Should we go through the Texas lottery scandal in the next 17 minutes?
Starting point is 00:42:14 This was a fun story. This is a fun story so gambling911 who I did not follow before this says this Texas lottery scandal is so convoluted mark our words this will be made into a Netflix docker film in the not too distant future. At heart of the scheme, the Joker. NC and MO lotteries were targeted by these groups. And so the Wall Street Journal has a whole deep dive on a secretive gambler called the Joker
Starting point is 00:42:37 who took down the Texas lottery. This has happened in the past, but this is maybe the most dramatic telling of it. And so- Yeah, and high level, this is a story about groups of people that realize there are opportunities to game lotteries in order to have outsized chances of winning. Basically, they recognize that if they can go post up
Starting point is 00:42:58 somewhere and print millions of tickets in a few days, they can have a really good chance at winning a lot of money. So the man's name is Bernard Marantelli, and he have a really good chance at winning a lot of money. So I'll kick. So the man's name is Bernard Marantelli, and he had a plan in his mind. He and his partners would buy nearly every possible number in a coming drawing.
Starting point is 00:43:15 There were 25.8 million potential number combinations. The tickets were $1 apiece, and the jackpot was heading to $95 million. If nobody else picked the winning numbers, the profit would be nearly $60 million. Martinelli else picked the winning numbers, the profit would be nearly 60 million. Martin, Ellie. Yeah, it's something I didn't really realize. I'm not a big lottery ticket guy,
Starting point is 00:43:30 but I didn't realize that two people could pick the same number. They can, yeah. And so you can pick the same number and what happens is the winners just have to split the proceeds. So they actively are trying to pick numbers that aren't tickets that will be split.
Starting point is 00:43:45 Because a lot of people just do one, two, three, four, five, six. So you don't want to pick that number. Interesting. And so they fly to the US with a few trusted lieutenants. This guy is a London banker turned bookmaker. And they set up shop in a defunct dentist's office, a warehouse, and two other spots in Texas, the crew worked out a way to get
Starting point is 00:44:06 official ticket printing terminals. This is the crazy thing. Apparently, if you're really, really in the lottery, you can just figure out a way to actually just get your own machine. Yeah, you are going to have to bring in your own paper if you're printing a high volume. Well, I've been doing this with Polymarket. I had Polymarket set up like a like anpremise installation of the Polymarket code that runs.
Starting point is 00:44:29 I run my own chain, my own decentralized- On your own Blackwell? Yeah, my own Blackwell, my own data center, my AI supercomputer so that I have access to my own Polymarket because I'm just hooked. Hooked. So trucks hauled in dozens of them and reams of paper. Over three days, the machines manned by a disparate bunch of associates and some of their children screeched away nearly around the clock, spitting out a hundred or more tickets every second. Texas politicians later likened the operation
Starting point is 00:44:55 to a sweatshop. And so to be clear, like they basically spin up these systems, which is like almost what you can imagine is like a disaster response type situation where it's like they have a warehouse and they have a warehouse and they have a bunch of folders and they're just like filing out they're printing the tickets. Yeah. Filing them. There's actually there's actually a phrase for exactly what this is. It's do things that don't scale. Yeah. Yeah.
Starting point is 00:45:17 Graham talked about. Yeah, yeah, exactly. So I don't know if it was in the context. They're going founder. Yeah, this is called going founder mode on the Texas lottery. So trying to pull off the gambit required deep pockets and a knack for staying under the radar, both hallmarks of the secret Tasmanian gambler who bankrolled the operation.
Starting point is 00:45:35 Born Zelko Ranodjak, he was nicknamed the Joker for his ability to pull off capers at far-flung casinos and racetracks. Adding to his mystique, he changed his name to John off capers at far-flung casinos and racetracks. Adding to his mystique, he changed his name to John Wilson several decades ago. The most generic name of all time. Hey, I need something that flies under the radar. And then you read it in a story about him changing his name to John Wilson and you're like, okay, like he just like picked, he's like, what is like take the two most common first and last names?
Starting point is 00:46:05 John Donnell. Yeah. Over the years, him and his partners have won several hundreds of millions of dollars by applying Wall Street-style analytics to betting opportunities around the world, like card counters and a blackjack table. They use data and math to hunt for situations ripe for flipping the house edge in their favor. Then they throw piles of money at it, betting an estimated $10 billion annually.
Starting point is 00:46:24 Wow, that's a lot of money. The Texas Lottery Play, one of their most ambitious operations ever paid off spectacularly with a $57.8 million jackpot win. That in turn spilled their activities into public view. They must be doing, if they're doing 10 billion and this 57 million win where they bet 25 million,
Starting point is 00:46:45 it must be that they're doing a lot of traditional sports betting markets separately. Just slight edges, 51%. More programmatic. Yeah, I mean, you see this with hedge funds where it's like, oh, they traded a billion dollars a day, and it's like, whoa, yeah. Yeah, what makes this story fascinating
Starting point is 00:47:00 is it was like a boots on the ground operation. Totally. They sent Delta Force in, just gamble. Yeah, so earlier this month, the state lieutenant governor, the state's lieutenant governor, Dan Patrick, called the crews win the biggest theft from the people of Texas in the history of Texas.
Starting point is 00:47:15 In response to written questions addressed to the joker, Glenn Gelbend, a New Jersey lawyer who represents the limited partnership that claimed the Texas prize, said all applicable laws, rules and regulations were followed. Dan Patrick of Texas, state's lieutenant governor, is calling this the biggest theft from the people of Texas and the history of Texas. That said, it does seem like the Joker and his crew have a good argument that they didn't break the law. They're saying it's a theft because they gamed the system, but it's not necessarily legal.
Starting point is 00:47:47 Yep. And this has actually happened before. I remember a professor at Northeastern figured out the math behind breaking a lottery like this. And then he published a paper on it. But he never actually went and implemented the strategy, but kind of proved it. And then the lottery changed to kind of harden
Starting point is 00:48:04 against this type of attack. It's kind of like a 51 then and then the lottery changed to kind of harden against this type of attack It's kind of like a 51% attack on Bitcoin, honestly So lottery hunters and pro gamblers have a good reason not to court the limelight Publicity can draw the attention of tax authorities encourage bookies and lotteries to tighten rules or worst of all inspired copycats Who might make a run at the next big jackpot and split the prize a group of Princeton University graduates? run at the next big jackpot and split the prize. The group of Princeton University graduates incorporated under the name Black Swan Capital has won millions in recent years playing scratch off tickets
Starting point is 00:48:30 and other lottery games in various states. This is a different group running the same playbook where they go and set up shop. It's really funny to think about your, let's say somebody's running a convenience store and just all of a sudden this like college kid comes to you and they say hey so I'm gonna be buying 500,000 lottery tickets in the next 24 hours. Also imagine you're just like an
Starting point is 00:48:53 average Joe Schmoe and you're just like yeah like I just like every once in a while when I'm getting gas I pick up a scratch off ticket I just hope that I'm gonna win one day and then you find out that there's basically a hedge fund on the other side of the trade, dumping $50 million against you. And you're not just playing against the house, but you're trading against the house and like a very mature financial organization run by Princeton university graduates. That is rough. Lottery officials and others who have tracked their tactics say they appear to
Starting point is 00:49:23 calculate when the math is most in their favor using publicly available information such as how many prizes are in a game and how many remain unclaimed? When the odds are right they swoop in hoping to win back more money than they spend one black swan team member collected a five million Dollar win in Missouri in 2019 another one ten million in North Carolina in 2022 in Maryland a black swan team used lottery machines in four liquor stores for four days to win a $2.6 million price. And this idea- So this is interesting. So black swanners used to appear in lottery marketing promotions, smiling and holding
Starting point is 00:49:53 ceremonial checks. Oh, interesting. But in recent years, they've mostly stayed quiet. Obviously. Yeah. You can imagine the first few wins, they were down to get the comically large check, and then they realized this is putting in massive you know we're basically marketing our own yeah operation here yeah I remember somebody Caltech did
Starting point is 00:50:12 this maybe like 20 or 30 years ago with the McDonald's monopoly prizes do you remember those you get the fries and it comes with two different monopoly stickers you peel them off and the way the McDonald's Monopoly worked, there was like a million dollar prize and if you, almost everyone would get Boardwalk, but Park Place was extremely rare. That was like a one in 10 million chance to get it. But if you got both of them, Boardwalk and Park Place, you would win a million dollar prize.
Starting point is 00:50:42 And so what they figured out was that because this was not a lottery, it was a giveaway, legally they had to allow anyone to enter without no purchase necessary. And so what the Caltech people figured out was that they had access to modern printing infrastructure that would allow them to mail in millions of high. Yeah, submissions. Hi, I just would like an entry into your lottery.
Starting point is 00:51:09 It's not a lottery, so I don't need to pay to be entered. Just put me down for one ticket a million times. And they won, and then it became this big thing. And they were dropping off truckloads of papers being like, each one gets me one entry. And no one expected that they would do this because the math on like the, the postage stamp should be higher, but they figured out they could drop them off. And they found all these arbitrages and then eventually one.
Starting point is 00:51:33 And then, and then they changed the rules probably and said like, okay, max, like 10 entries per person or something. Anyway, like all lotto retailers. So the team actually recruited one such seller, struggling, start struggling startup lottery.com to help with the logistics of buying and printing the millions of tickets. Like all lotto retailers, lottery.com collects a 5% sales commission.
Starting point is 00:51:54 Which is unfortunately, we'll find out, only on the cost of the ticket, not on the proceeds. Okay. So the Texas Lottery Commission allowed dozens of the terminals that print tickets to be delivered to the four workshops Set up by the team that April 19th The Commission announced that there had been no winner in that day's drawing the next drawing with an even larger pot would be three Days later on Saturday the group sprang into action the printing operation ran day and night the team had converted each number
Starting point is 00:52:20 combination into a QR code QR crew number crew members scan the codes into terminals using their phones, then scrambled to organize all the tickets in boxes such that they can easily locate the winning numbers. Yeah, imagine you win and you're like, we know we have the number in one of these 200 million tickets in this warehouse.
Starting point is 00:52:38 The game called for picking six numbers from one to 54. For a pro gambler, some sets of numbers such as 1, 2, 3, 4, 5, 6 aren't worth picking because so many other players choose them, which would split the pool. The operation bought 99.3% of the possibilities. Money moved to lottery.com from the joker's account, held under the name John Wilson in the Isle of Man, a tax haven off the UK coast, taking a circuitous route
Starting point is 00:53:05 via an escrow account at a Detroit law firm, according to people familiar with transfers. The crew hit the jackpot that Saturday. One of their tickets was the sole winner. About two months later, the lottery commission revealed that the prize had been claimed by a limited partnership called Rook TX, and the winner had elected to remain anonymous, the commission said, which actually
Starting point is 00:53:33 makes sense that you want to allow people to be anonymous because if you force them to take a picture with a big check, that's just like a hey, come kidnap me moment, right? Yeah, or just shake me down. Old friends. Oh hey I got a business idea. I'm starting a foundation model. Do you want to put some money in? That type of thing. There's a lot of that going on in Silicon Valley right now. Starting a non-profit. Yeah. The secret
Starting point is 00:53:58 however didn't stay secret for long. The state officials were outraged when they learned how the operation went down. State Senator Bob Hall blamed the Texas Lottery Commission saying the incident signaled the possibility of an organized crime ring being embedded in the Texas government. They think they got an insider. Greg Abbott. I don't think it was true. No. Ordered the Texas Rangers to investigate, saying the state's residents deserve a lottery that is fair and transparent for everyone. I agree with that. They probably should update the terms and conditions. It's really wrong that we don't have the California Rangers. Really? Yeah, Texas really lucked
Starting point is 00:54:27 out with that one. What do we have? State use a highway patrol or something. We see HP Highway Patrol. That's about it. I guess we have sheriffs, right? Or sheriffs are federal. I don't really know. State lottery directors say they are seeing more organized efforts to buy lottery tickets in bulk, but that the groups are largely operating legally and transparently. State lotteries like the one in Texas are in a sweet spot for the pros, the jackpot the jackpots are big enough to be worth shooting for and the number of possible combinations minimizes the risk of multiple winners. Multi-state games such as the Powerball often have far bigger
Starting point is 00:54:59 pots but there are so many combinations that buying them all would be unwieldy and cost too much. Just wait until they find out about artificial intelligence, baby. They're going to figure out a way to go for the Powerball. Some hedge fund is going to get into that Citadel. It's going to be like, yeah, we have a new Powerball desk that's spinning up. We hit print here and there's a thousand factories. We have lottery ticket printing gigafactories. Yeah. Oh yeah, it actually makes the Tesla Model 3 line look like an old workshop.
Starting point is 00:55:31 This could be the bull market in the printer space. For sure, for sure. Yeah, and so another example, in Oklahoma, the Black Swan team recently made a play at a scratch-off game with a $5 million prize on the line. They set up at a hotel and spent three weeks scratching off tickets but left the state without getting the top prize yeah because with the scratch like they can't they can't like print them themselves and so they're so much harder to organize they actually have to scratch them all I bet they had some really pro they weren't using a coin they probably had some like you know D I sir yeah-icer machine scratching, but that is insane. Honestly, good take from John Martin, Maryland lottery director. He said on a podcast, how is this any different from an investment group buying stocks to gain an advantage over time
Starting point is 00:56:17 in the marketplace? I don't know that it is. You can take a holier than thou attitude and say, well, if it's not right, it's not fair, but again, it's not illegal, and it's probably not a bad business strategy, which I think is generally the right take here. Yeah. Well, what a fun story. You love to see these like little gambits. We'll see if it is considered cheating.
Starting point is 00:56:41 I'm sure it will be hotly debated in the courts and then ultimately boiled down into new sets of rules. But it's hard to know. Should you put a max number per person? Should you do, oh, something about per entity? Split it per entity? Because a lot of people just casually will have handshake deals with their friends who are like
Starting point is 00:57:06 Oh, we all buy lottery tickets. And if any of us win, we'll split it. That's just like a common thing And how are you gonna make that illegal? So considered cheating once the teams on the ground in Texas had their printing their ticket printing operation full swing lottery comm executive Greg pots texted an associate things are going great Swing lottery.com executive Greg Potts texted him associates. Things are going great Thanks to the mass buying the size of the jackpot was soaring the Texas Lotto Commission put out a news release saying it was the biggest Since 2010 lotto Texas fever is sweeping across the Lone Star State It said it's so funny if you're running the Texas lottery He's like wow like there's just all this demand for our lottery and it's from this one
Starting point is 00:57:43 I campaign this this quarter must have been fantastic There's just all this demand for our lottery tickets. And it's from this one ad campaign. This quarter must've been fantastic. Whoever wrote a copy for that billboard, they need a promotion. And it turns out it's just some hedge fund that came in and is just like decimating your whole plan. So brutal. Dawn Nettles, a self-appointed watchdog
Starting point is 00:58:01 who has published the Texas lotto report since soon after the lottery's inception in 1992, headed out to stores in Dallas and Garland. She didn't see any evidence of lottery fever and figured a pro gambling outfit was vacuuming up tickets. Nettles bought several dozen tickets in a long shot bid to split the winnings. I like how Don Nettles is just like, she's running the Texas Lotto Report. I'm the Watchdog. But look, fun is fun. I got to be in the game. I got to feel the rush somehow.
Starting point is 00:58:29 What if I win? And if you know that they're buying. She's saying the same thing that a lottery buyer says. I said, come on, God, let me hold the winning ticket so we split it and they don't come out with a profit, as they're called. So she's the watchdog, but she's actually acting like a watchdog. She's betting against the hedge fund. She's like, she's the watchdog, but she's actually acting like a watchdog. Yeah, she's betting
Starting point is 00:58:45 against the hedge fund. She's like, if I can take 50% of their winnings, and just bankrupt them, that would be so satisfying. It'd be more satisfying than just actually winning. And so this is this is some interesting background. So that Saturday, the commission announced the winning numbers 3518 2930 and 52. Within hours, Marantelli's crew had located the winning ticket in a file box in one of their four workplaces, workspaces.
Starting point is 00:59:09 So it took them hours to actually find it if they had the ticket, which is crazy. An associate snapped a photo of a smiling Marantelli holding up the winner flanked by team members in boxes. And lottery.com ended up making just $264,000 on its commission on this. It's not that much. Which seems low, given how big the winnings are,
Starting point is 00:59:33 but again, that's, you know, that commission for lottery.com is based on, you know, what, 5% of basically the cost of purchasing the tickets. But this is the big debate point. Texas Lottery Commission executive director Ryan Mindell, a deputy at the time, said the mass buying had compromised public perception about fairness.
Starting point is 00:59:56 He said the request for ticket terminals had been approved by a junior employee and complied with policy. The Lottery Commission and Texas Rangers continue to look into the episode. Lottery officials and state lawmakers have taken steps to prevent a repeat, yet pro-gambling pro-gamblers, it appears, haven't lost interest. And so yeah, I mean, if everyone if everyone finds out that they're being that they're playing against hedge funds, basically, they're they're not going to be as likely to actually play. What I'm interested in to know is that I think that
Starting point is 01:00:26 this could be a net positive for the state of Texas in a weird way, right? Because Texas makes, you still have to pay taxes on it. And so the money that goes in is the money that goes out minus taxes. And so, and the critique of the lottery was that it's a tax on lower-income folks who buy lottery tickets and so if instead you just you're just letting yeah I mean you're still taking money out of the
Starting point is 01:00:55 people who are more likely to lose than ever but yeah but something like this potentially compresses the the basically the margin yet yeah who knows no no I I think it I think the net effect is just higher tax receipts for Texas yeah and and yes the average lottery player is less likely to win but it doesn't mean that the the citizens of Texas who are gambling are losing more money than ever they're losing the same amount of money. They're just guaranteed to lose it. Yeah, and it's interesting.
Starting point is 01:01:30 One fix, basically a patch that they pushed out, the Texas Lottery Commission got wind of the effort and thwarted it by pushing out a software update that limited the number of tickets a terminal can sell in a day. So they're basically saying, you're not gonna be able to buy, you know, 25 million. Well, we have Tyler Cowan here on the show. So welcome to the studio, Tyler. Good to see
Starting point is 01:01:53 you. How are you doing? Good. My video is blocked when I tried to start it. Oh, odd. I'm sorry for this. No problem. We can just do audio for now. And maybe Okay, I have used the video lately. It may be on your side. Maybe. Um, well, we'll troubleshoot it. Let's just talk like it's phone call. Okay, great. Um,
Starting point is 01:02:12 I wanted to start with, uh, artificial intelligence. Uh, there's a, there's a new release from open AI today, but it's mostly about, uh, programming and a new code model. But, uh, can you give us an update on how you're using just any AI tools really and what your experience has been? Well, I use AI tools for everything. That was almost an understatement. So I just took a trip to an event in southern Utah and I used strong AI to plan the whole thing, the whole route where I would visit, where I would stop, where we would eat.
Starting point is 01:02:46 It worked wonderfully. There were not hallucinations. But more typically, if I'm reading a book, most of the books I read are history books. So I want background on things that I don't know the full story for. And then what I'll do is just keep on asking the AI. So instead of reading, say, seven books on a topic, I'll read is just keep on asking the AI. So instead of reading say seven books on a topic, I'll read maybe two and spend the rest of the time asking the AIs. So that's a very different approach,
Starting point is 01:03:12 but you get very good customized answers and you can keep on asking. It's right in front of you. You don't have to wait for the book to come. At the margin is cheaper than ordering more books. So it's changed my whole life. Do you think the future is not ordering the book at all and just talking to the AI? Because a lot of these books are so baked into the LLMs, you could just hear about a book and then say, hey, tell me about the first chapter. And then it'll kind of spit out the base. Or using memory functionality and say, me that tell me the things that
Starting point is 01:03:46 you think I'll actually care about. Oh yeah from this book. Yeah. How do you think the future. I would say it's the present. Yeah. I guess you're right. You might want one or two books to get you started on your questions. I'm not even sure you will need that at some point. But I don't think my status quo practice is to have no books, but it's to have radically fewer books. What, what about kind of the, uh, the post education piece of reading these books? Are you, are you doing any, uh, interactions with AI to, uh,
Starting point is 01:04:22 kind of like take notes and memorize things or, or kind of collect your takeaways while you're reading and learning new topics? No, I've never really taken notes on things with or without AI. So I don't, I don't think I'll start now. Now, as you mentioned before, there is now AI memory. Yeah, we've only had that a very small number of days. I'm not sure what I'll use it for. I'm not sure it will matter for me, but we'll see.
Starting point is 01:04:49 It might send things my way. I wouldn't have known of otherwise. So I do think about what queries I feed into the AI. I'm not worried about privacy, but I just want to be smart for it. So it thinks I'm smart and treats me accordingly. Yeah What about deep research is has that worked its way into your workflow or has kind of the five to ten minute delay? Been a barrier to adoption The delay is no problem for me. I've been using o1 Pro more than deep research because often I just want short answers. Yeah
Starting point is 01:05:25 Go on Pro more than deep research because often I just want short answers. I've used deep research quite a bit for my class. So if I want them to read a paper on something, well, I can look on JSTOR or I can just have deep research create the paper. And it does that very well. I think it's still a bit wordy, but it's very impressive and really quite accurate. So it is double or triple checking things. It hallucinates less say than Google or Wikipedia might. So I've been using that. It's gone quite well.
Starting point is 01:05:53 Can you talk a little bit about the, the workflow with teaching? You mentioned last time we talked something about kind of a flip to the way you teach where you are judging the students on how much they teach you. Can you kind of reiterate and expand on that idea? Well, one thing I do in this class, this is a PhD level class in history of economic thought. I tell my students they need to write their papers using advanced AI. And I grade them just on how good the paper is. They then should explain to me how they used it. papers using advanced AI. And I grade them just on how good the paper is.
Starting point is 01:06:25 They then should explain to me how they used it, and I will indeed learn things from that. But we're already in the world where so many people are using this. How well you can write a paper without AI, it's not any kind of predictor or useful indicator of how well you're gonna do. So we just need to start teaching them that skill.
Starting point is 01:06:44 So I teach them what I know. I encourage them to provide tips and advice to each other. You know, we're all new at this, right? It's a new thing. And we're all learning as we go along. So far it's been great. How are you thinking about AI and the future of work, job displacement, all of that? Well, you say future, but I would stress the present. Yeah. I think a lot of companies should hold off on hiring people with particular
Starting point is 01:07:12 skills because those people will not be as good as the AI is likely to be, you know, a week or two from now would be the blunt way to put it. Are there different sets of skills that companies should be hiring for? Like a certain, I don't know if it's like neuroplasticity. We like to joke about a concept of like golden retriever mode being friendly and focusing more on friendliness than intelligence because intelligence is becoming too cheap to meter, but being a great coworker and being a great interface between different parts of the organization and ultimately AI models who
Starting point is 01:07:49 provide the intelligence potentially is growing in importance. What's your read on that? I use the word charisma for your friendliness. Yeah, they also have to inspire the other people. And simply being friendly doesn't do that. You might need a sharper edge. So a lot of people in VC, I wouldn't say they're unfriendly, but friendly isn't exactly the way you would describe them. They're inspiring first and foremost. I think also having good taste is very,
Starting point is 01:08:18 very important. So someone still has to interpret the products of the AI or, you know, decide what's a good answer or which model to ask a particular question. And that's a question of taste. So taste and aesthetics have become more important. What about, um, I mean, is it, is it useful to look at the initial rollout of the internet where it felt like wisdom or knowledge became too cheap to meter. And that maybe became less important to have someone on your team who just was an encyclopedia of facts because it became so quick to look up everything. Yeah, I remember through this before,
Starting point is 01:08:58 right? Growing up, you know, being born in the 90s and then having access to the internet almost as soon as I was very conscious, I was intuitively aware that memorizing sort of facts didn't feel like such a valuable skill set in the classroom because you would go home and you'd be doing your homework and you'd obviously be sitting in front of a computer and have access to that information. Yet, it was still baked into the curriculum pretty intensely. But you're basically saying, almost like, what does a curriculum look like if intelligence is like pretty accessible?
Starting point is 01:09:30 Well, you don't need to focus on wisdom. And maybe you don't need to focus on intelligence. And maybe it's just purely charisma from now on. I don't know. Tyler? Well, I'm not sure of all the net effects here. But keep in mind, the people who know a lot and understand it, that's an important qualifier.
Starting point is 01:09:44 Yeah. They're now 1 a thousand times more productive than before because they're managing these armies of AIs. So you may not need to hire more of them, but the ones you hire who are good will be much more important by a lot, not just by a little. So I don't think it's simply substituting away from intelligence. You want beings who can manage other intelligent
Starting point is 01:10:06 entities, humans or AIs, and a lot of those people will be very smart. Yeah. Do you think the bicycle for the mind metaphor is still apt? I mean, bicycles are great, but it's better if you're Lance Armstrong, right? Sure. I'm not sure I know the metaphor, though. This was Steve Jobs said, a computer is a bicycle for the mind in the sense that a human on a bicycle is the most efficient energy per mile per hour device, even faster, even more energy
Starting point is 01:10:42 efficient than a cheetah. And so a human by by themselves is Underperforming relative to a cheetah, but you give the human a bicycle and it's the most energy efficient mode of transportation I think oh sure. Yes, that makes sense to me. So I think some mix of knowing facts But understanding them having great taste and having the initiative to manage an army of AIs and the willingness to do the juggling involved. It's a very complicated set of traits. But my sense is the people who have those will do just very, very well. Can you talk about, you wrote recently around American soft power and AI, if you had to sort of summarize your, your takeaway from from the article, you know,
Starting point is 01:11:29 what would you share with our audience? Well, it makes me more optimistic about America that we're the AI leader. You know, the Chinese models deep seek and Manus, as you probably know, they're based on American AI. So as the Chinese government uses AI more and more, it will be more dependent on Western modes of thought. And they can censor the AI on Taiwan, on Tiananmen Square, but they can't really change how it thinks without making it much stupider. So we're taking them over is one way to put it, not in the sense of conquering them,
Starting point is 01:12:04 We're taking them over is one way to put it, not in the sense of conquering them, but the Francis Fukuyama vision, I think will be realized through AIs. Can you expand on that? Well, the smartest entities in China, you know, already, but more and more as the future arrives will be AIs. And those are American. Again, even if it's Deep Sea Cormanus. So their smartest entities all of a sudden are American. How would we feel? You know all of our smartest entities were Chinese. We'd be like whoa. Well, that's the position. We're in now
Starting point is 01:12:34 That's a great take. I like that How do you how do you think of? Tariffs in the trade war in the context of the AI revolution. We were joking, not joking, it's a serious topic, but as these sort of tariffs were rolling out, I was saying this almost feels like in some way, picking up pennies in front of a steamroller. And you've said before that you don't sort of believe in sort of this almost instant, massive GDP growth, but it still feels like AI has the potential to transform our economy by 10,000%.
Starting point is 01:13:15 And tariffs can have an impact, a very significant impact on a bunch of different factors, but maybe not even necessarily as impactful and maybe the wrong thing to be arguing about as a country. But I'm curious to get your take on it. The AI race is much more important. But to win that, you want free trade in the inputs for AI, which is quite a few different things. Now, you might want export controls on China, which we have to some extent. I'm not sure they're effective, but I don't see any downside to trying them. Uh, but in the meantime,
Starting point is 01:13:49 you want to just take in everything as much as you can, as cheaply as you can, as quickly as possible. So I would say it's an extra reason to be skeptical about the tariffs. I mean, you said there's, there's maybe no downside to trying the export controls. Are you familiar with Ben Thompson's new argument that maybe the downside is that it makes an invasion of Taiwan more likely? And in fact, keeping the Chinese dependent on Taiwan increases global stability if you
Starting point is 01:14:20 take away the trade restrictions. I don't know that I'm fully in support of that, but that's the argument that he's been making. I've discussed that with Ben. I don't think it's impossible that he's right. It's just very hard to predict that kind of thing. I'm not sure the expected value calculation falls his way. Again, I would gladly admit export controls may not work out well. It just seems odd not to try the first order policy to slow China down. I suspect whether or not they invade Taiwan on whatever date, they'll just develop quality
Starting point is 01:14:57 chips and lithography themselves and it probably won't matter that much. But trying to forecast their Taiwan decisions, it's just it's very hard to have a good theory of that one way or the other. How excited are you about American semiconductor production? We've you know, there's the TSMC
Starting point is 01:15:17 facility in Arizona seems to be having good results and videos talking about, you know, partnering with Foxconn to produce 500 billion dollars of their new Blackwell chip. Is all of about, you know, partnering with Foxconn to produce $500 billion of their new Blackwell chip. Is all of that, you know, market, how real is that in your mind? Is that something that, you know, we think that you think the United States can sort of lean on when it comes to the sort of broader AI race?
Starting point is 01:15:40 I read and hear a lot of propaganda on that saying it's going very well I don't feel I have trustworthy sources of my own as an economist My view tends to be supply is elastic and if you pay for something you'll get it So I suppose I'm inclined to believe the propaganda But I'm still not sure yet make sense What has been your reaction to Ezra Klein's new abundance agenda?
Starting point is 01:16:11 Well, it would be much better for the Democrats and the Democratic Party, and indeed all of us, if the party became about that. And that's Ezra's main goal. So in that sense, I'm fully on board. Yeah. But that said, I think one has to go a lot further.
Starting point is 01:16:26 And I had a podcast with Ezra on my own podcast. And I'm like, well, Ezra, are you willing to fire a lot of these people? You know, they're in the way, there's Kludgeocracy plus AGI is coming. And he and Jennifer Polka, they both seem like very reticent to me. When you push them on, okay, I agree, but let's go a bit further here. Like you can't just be right 10% if you're right, and I think you are right. You know, you're right 75% or more. So let's take this as a good step one and see it through consistently.
Starting point is 01:16:57 Yeah, it seems like one of those platforms that's almost directly out of the West Wing where it's inspirational, it can win, but will it actually work? And those are two different questions and I think he might, this might be something that is a message that can win but maybe not change things is my fear, but I don't know if you feel the same. Well, I don't know if it can win. So I suppose my view of the Democratic party is that it will splinter the way the Republican party has splintered. So the Republicans right now, to some extent, they're unified around the figure of Donald Trump. But intellectually, they're all over the map. That may have upsides, downsides, but I think it's clearly true. And I
Starting point is 01:17:41 suspect the same will happen to the Democrats. So the abundance thing will be one faction of 17. It'll be the one I'm rooting for. It'll win some partial victories. That'll be nice, but I don't think it will ever be in charge. I don't think any of them really will be in charge. Yeah. Do you think it's more driven by the personality of the particular candidate? Because, uh, with the Trump election, you would see a die-hard libertarian
Starting point is 01:18:08 voting for Trump, you know, in the same in the voting booth next to them is someone who's highly protectionist in favor of tariffs and they both kind of wound up rallying around the same person for very different ideological reasons. My guess is that will happen to the Democrats also. Yeah. Biden was like the anti-personality candidate. He literally had no personality. You couldn't go meet with him. You couldn't see him on TV.
Starting point is 01:18:34 There wouldn't be a press conference. It's sort of like, I mean, he didn't exist in fact, in a way. And I think they'll rebel against that and way overshoot. Yeah. Dory? And I think they'll rebel against that and way overshoot. Yeah. Jordi? Do you think we need more weird ideas around AI? You shared something earlier out of Google. They're using Google's, I think it's their DeepMind team
Starting point is 01:18:57 is using Google AI to help decode dolphin communication, which just feels like it feels like right now there's a lot of attempts on, which I think are important of unlocking the power of AI in private equity Locketing unlocking the power of AI for lawyers yet There's this whole other sort of spectrum of ways that you can apply this technology and I personally I would like to see more more You know, maybe there's not immediate commercial opportunities, but at the same time You know I can imagine US consumers would probably pay $100 a month to be able to communicate with their dog.
Starting point is 01:19:31 So like maybe there are sort of exciting commercial opportunities and sort of human to animal communication. But how do you think about needing sort of newer, more sort of creative ideas as this technology gets broadly adopted. Strong agree, I want to be the first human to do a podcast with a dolphin.
Starting point is 01:19:52 I feel I already communicate with my dog. He has little more to say than what I get already, which is I want to eat, I need to go in the backyard and so on. But yes, I think the non-elites will come up with a lot of these ideas and they'll be hugely successful. Why, why non elites specifically?
Starting point is 01:20:11 I mean that example was from Google feels like the most elite people in the world are like the most elite team in AI, at least I don't know who they are had those ideas. Sure. Talking to the animals is a doctor do little thing, right to see an elite. I don't ideas. Sure. Uh, talking to the animals is a Dr. Do little thing, right? Is he an elite? I don't know. Yeah. But I think, uh, elites feel threatened and indeed will be threatened by AI because it's smarter than they are. And a lot of non elites will just be like,
Starting point is 01:20:37 how can I make this useful for me? Yeah. Because they're not expecting to be, you know, the so-called smartest person in the room. Yeah. That's why. Speaking of that, like kind of weird, useful AI, how did you process the studio Ghibli moment a few weeks ago? Well, no elite would have predicted it, but obviously people loved it and just something about it worked. Uh, I hope it didn't, you know, fry the servers on the cloud computing, but you know, the stuff is still up and running and there was something online, I forget the numbers, but some radical upsurge in use of
Starting point is 01:21:10 chat GPT in the last few weeks, Sam gave the numbers, just stunning. And we're going to have a bunch more of these moments in the next year or two. Do you think there will be a kind of a cohesive renegotiation around intellectual property that comes out of the AI era? I hope not, but you know, media is in big trouble because you can read a smarter, clearer version of the story on the AI tailored for you. There is a free rider problem here.
Starting point is 01:21:42 I don't know what kind of arrangement we'll come up with. I don't want government subsidized or government controlled media. Maybe it'll be some weird barbells equilibrium where there's like the New York Times and then there's bloggers and tweeters and not that much in between. I don't know. I do think it's a real problem. But to make the AI companies pay for everything the model reads, that strikes me as a bad idea. And I would rather win the AI race with China than do that. Yeah, I mean, Nat Friedman was just kind of running
Starting point is 01:22:15 the numbers and saying that OpenAI has more than enough money to hire every single journalist in America on a full-time salary just to create content that eventually goes into the training and into the models, which is a very, very odd outcome, but financially it could work. I don't know if that's actually how it'll play out though. Yeah, Google has a lot of money.
Starting point is 01:22:37 I'd rather see corporations do it. Sure. Bloomberg, where I used to work, both has money and does hire a lot of journalists. And that's very high quality. So there's a number of models. I just prefer to keep the government out of it and not to slow down the AI companies either. Do you think that AI is broadly priced in yet?
Starting point is 01:23:01 It feels like Nvidia in many ways priced to perfection, but it feels like many other industries haven't had, maybe the, and companies haven't had the corrections you might think they would have if they were on the verge of massive disruption. People are asleep. While the disruption may come slowly, it will come. And I think there's a lot of places, companies with mid-tier quality software that will end up devastated, you know, within five years, not as quickly as some of the crazy people think, but, you know, within a time horizon relevant for share prices. Yeah, like I look at people today, the hot thing has been buying accounting firms and like buying an accounting firm
Starting point is 01:23:47 that does accounting for small businesses and you're buying a firm for, call it eight times earnings. And it's like, do you believe that in five, like the idea is like in like small businesses will be quick to adopt technology that saves them a meaningful amount of money. So the idea is like, can you keep prices high, grow earnings and introduce technology that basically undercuts, you know, the existing service offering that you just paid up to get? I don't know if that's a that's a good strategy.
Starting point is 01:24:20 That's a great example. You know, if you could short nonprofits, I'd short most of them too Savvy. Well, I mean speaking of some of the crazy people Did you have a chance to read or read about AI 2027 and what was your reaction? Well, I always ask those people are you short the market and I never get a straight answer Those are private conversations, but there's one prominent doomsday. His response to me was, well, I don't know how to short the market. I just giggled. I'm like, ask the AI if you don't think the AI can arrange that for you. It's probably not very threatening. Yeah. So look, any new technology has a lot of dangers. threatening. Yeah. So look any new technology has a lot of dangers. You shouldn't rule out any scenario but what I tell those people is do what the
Starting point is 01:25:09 climate change people did. Take this to peer review, referee journals, make a serious case. Don't just write you know the blog post with 17 different vertically arranged separate points. Yeah. And see where you get with it. The other kind of response I have, it's jokey, but also serious. I say, I would rather be an American paper clip than a Chinese paper clip. So it's coming anyway. You know, you want to have it on your terms.
Starting point is 01:25:40 There is no pause option. We got to try to win this thing. Yeah. How do you think about AI adoption? I know it sounds like a simple question, but I feel like this is an interesting technology where every single person that I know, and I am in a
Starting point is 01:25:56 bubble, right? I live on the coast. I work in, you know, tech broadly. And everybody I know, and even I was talking to the guy who details my car I was I was telling him that he should expand into a sort of adjacent category because I wanted it myself and and he told me that he spent you know the entire ride home last week you know talking about just talking with chat GPT
Starting point is 01:26:20 right like using it as a sort of like personal tutor on a business opportunity so it's we're in this interesting scenario where AI in many with ChatGPT, right? Like using it as a sort of like personal tutor on a business opportunity. So we're in this interesting scenario where AI in many ways seems in sort of certain segments seems to have been like, you know, fully adopted, like it's being used. And, you know, and now it's just more about the sort of capability unlock, right? In all these different use cases. But I'm curious how you think about, OK, everybody's using AI now. But they're not.
Starting point is 01:26:48 I mean, it's totally brutal. You've got to get out of your bubble. Like a lot of people use ChatGPT for something trivial. They don't take it seriously. It's like another app. Like they used it to name the dogs, puppies, or something. And they have no idea it's going to change their lives. That's the default mode of our elites.
Starting point is 01:27:09 Yeah, that makes sense. And I was at a prestigious New York event just like two or three months ago with five people, all of whom are well known. And I used the three letter phrase AGI. Not one of them knew what I meant. I don't mean they didn't understand it in a deep sense. Maybe none of us do. They didn't even know what I was referring to. That's where we're at. Wow.
Starting point is 01:27:31 Yeah, that's shocking. How do you think about economic growth? It feels unimaginable that AI would not be the thing to disrupt stagnation and get us at least to three, four, 5% real GDP growth annually. And yet it doesn't feel like we've seen it yet. Even in energy production, I think China's adding 20% energy production a year and it's still essentially stagnant in the United States. Are you expecting things to change or will it just be a reshuffling of the deck,
Starting point is 01:28:10 even though things will be disrupted, there's not really a net new experience of our economy or our energy infrastructure? I think it will improve slowly. But if you look at our economy, and I'm gonna sound like Peter here, like just add up what percent of it is totally non-functional, non-adaptive, bureaucratic, much of healthcare, most of government, higher ed, K through 12, nonprofit sector. Like that's more than half the economy, right?
Starting point is 01:28:41 Yeah. And at what speed will that respond? The stuff that responds quickly, which is great, of course, it becomes so cheap, it's an ever smaller share of GDP. So it's very hard to get the growth rate up by a lot. I think it will happen. But one way to put it is the better the AI is, the more the human imperfections matter. We're already at the point where they're gonna put out new models and most people aren't smart enough
Starting point is 01:29:08 to see that they're better. Yeah. So I'm all for the new models, they will ultimately matter but you need to restructure, rebuild almost every institution for the growth rate to truly accelerate and that will happen but it's a generational project. Is that a warning sign? I mean, the counter to every AI doomer
Starting point is 01:29:32 has always been in my mind, like the cars aren't even driving themselves yet fully, like surely the cars will drive themselves for a couple months before the cars are terminators that are killing us all. And is that kind of like an early warning sign for taking AI more seriously? Or should we already be really discussing AGI at every fancy dinner party that you get invited to? Well, I think we're going to have AGI this coming week. So it depends how you define it. I think driverless cars as they spread will have a big impact.
Starting point is 01:30:10 And they're coming to Washington, D.C. this year. That's an important city for obvious reasons. And I think that will change many people's perceptions. Because they do work and they are much safer. And there are no associated problems except maybe for the two days a year It snows here. So yeah, I think that will really matter but right now it's what San Francisco and Northern Arizona and one other place And the Bay Area people they are pilled but white pill black pill whatever about AI and no one else is New Yorkers are The worst I think.
Starting point is 01:30:45 You see the national security people are pretty awake. That's that's very good. Even the staffers can be pretty good. We're way ahead of New York in D.C. But that's not saying much. How do you do you feel like humanoid robots or like, you know, somebody, you know, a Henry Ford alternative saying like, I'm going to build a mechanical horse?
Starting point is 01:31:11 Or do you think that humanoid robots can be the right form factor for AI, you know, embodied sort of AI labor? Robots still seem far away to me. I'm not dogmatically convinced they're far away, but I would say they're far enough away that it's difficult to forecast when they'll get here. So my thinking is mostly about the smarts in a box more than the robots. The robots seem to need pretty controlled environments. San Francisco streets are that, factories are that,
Starting point is 01:31:47 and that's already significant. But just that there's like more robots than people in the world, that seems distant. On robots that could have a potentially faster and greater impact, or at least greater in the short term, how do you think about companies like Zipline that are doing instant delivery via drone? We had the founder of Zipline on last Friday
Starting point is 01:32:14 and it was pretty exciting to think about just reducing congestion on roads by eliminating all these big heavy cars driving around, you know, a hamburger for 20 miles all day long. I'm all for that. It's pure gain, but I think those gains are pretty small. We could already do congestion pricing, as a few places have done, and solve that problem as it is. Most of traffic is not like your Amazon delivery person. It, it's a modest share of it. So again, I'm all for it, but I don't think it will noticeably change life.
Starting point is 01:32:50 Yeah. On, on, on the AGI question, I feel like these definitions, uh, get wrapped up in benchmarks or, or, you know, IQ tests or human performance. Um, but I've always wondered if it's almost better to think about the impact of AI through an economic lens and say something like AGI is here when AI is doing is producing GDP Greater than humans or something along those lines. Is that a useful framework or am I just thinking about it all wrong?
Starting point is 01:33:21 You know Satya Nadella said some version of that, but with different numbers, you know, my AGI definition just to be totally self-centered is when it's smarter than I am, I call it AGI. And I think that's coming within the next few days. So I get that's not the only definition, but surely it's a meaningful benchmark of some kind. Yeah. Yeah.
Starting point is 01:33:43 Yeah. Yeah. It makes sense. It's just, uh, the, the, it's the difference between like fast take off, slow take off, almost like fast rollout versus slow rollout. We could have the, you know, genius intelligence that that's too cheap to meter. But I think people won't care as much until it's actually everywhere, having an impact all over the world. And so I think that once it arrives, it could drop just like the passing
Starting point is 01:34:13 of the touring test dropped, where we just kind of move on with our lives. I have one very short last question that I think is relevant. Please, let me close out. Tyler, how much smarter do you think you've become due to AI? And using it day to day, if at all. I'm not sure what you mean by smarter.
Starting point is 01:34:34 So I've been using it lately to learn English medieval history, and I know much more about that than I would otherwise. I mean more like maybe quality of thinking. No, I don't feel that way. In chess that's been a factor, but I think maybe it will help some people who are less rational.
Starting point is 01:34:57 Maybe I'm already there and so irrational I don't know it, but I don't feel it's improved the quality of my thinking. Is that dependent on like discoveries like or almost like frameworks? Like if if AI discovers the next you know law of supply and demand that would make every economist smarter right? I don't think it will. I think there's a lot of areas we're never going to learn much more not because the AI is, just there's only so much to learn. Sure. But I think there's a lot of people, you see this already, like the AI tells them to calm down or please rethink that email before you send it. Sure. That's quite significant. I just don't
Starting point is 01:35:36 think I'm in that category at age 63. Yeah. But yeah, it's helping a lot of people think better, just not me. That makes sense. Well, thank you so much for hopping on. We really enjoyed talking to you. Yeah, very insightful. Thank you. We'd love to have you back in the future. This was a really enjoyable conversation. My pleasure, as always.
Starting point is 01:35:53 See you around. Take care. Talk to you soon. Bye. See you. Well, AGI this week, folks. AGI this week. You heard it here from Tyler.
Starting point is 01:36:03 Yeah, I wonder, what is he referring to exactly? Is this a new open AI release? I don't think it's 4.1 because that was really oriented around. Wait, 4.1, because we're at 4.5. Anyway, let's bring in our next economist. We're doing a little econ day here. We got Ara Kharrazian from Ramp.
Starting point is 01:36:21 You might've heard of him when we did our personnel news segment. Boom, look it. In the suit. In the suit. Let's the city looking great. Great to talk to you. Welcome to the show. How you doing guys? I'm a big fan of the show. You guys have done such done such a good job. I love the announcement. Yeah. I've been to it. Yeah. Yeah. The idea with those is, you know, very low tam, but we want to set the slack account on fire in whatever company
Starting point is 01:36:52 Gets one of those messages, but but thanks for joining this the show today. We want to talk about the release today Can you break down the announcement how regularly these spending reports are and then we'll go into some of the top takeaways Yeah, I mean I'll start by talking about the main question that I get asked a lot is that, you know, what is my job? Why do I do it? Why does Ramp even have an economist? I think it confuses a lot of people. But I think it really does come from Ramp's product, right? It's a spend platform, but what Ramp, I think figured out very effectively is that businesses aren't just looking
Starting point is 01:37:21 to spend money, they're looking for help on how to make decisions, how to spend their money most effectively, what the best businesses are doing. So features like that are always integrated into Ramp's product to help businesses make those kinds of calls. But the logic of my role is that we can help a lot more businesses make decisions by making a lot more of that data public. Data both about how businesses are spending money,
Starting point is 01:37:43 but also where these economic trends are going and how your business can operate within them. And so our latest spending report, what we put out this month, gets right at that. We're looking at trends in AI adoption. Our main finding is that 35.5% of American businesses have already adopted AI to produce goods and services. That's four and a half times higher than the current U.S. Census estimate. And then we also posted a lot of results about general business spend trends, where businesses are spending more money, where they're pulling back. But the idea here is really to be able to say something really compelling and new about what's going on in the economy and try to respond to the fact that there's not a lot
Starting point is 01:38:23 of public data available about where businesses are spending right now. Can you, just jumping right into the first point, can you talk about how you guys came to the 35 and a half percent number? Cause I imagine it's pretty hard to triangulate given that, you know, some, you can get AI in a non like AI, you know, product as an example, right? Like you're using Google workspace
Starting point is 01:38:46 and it sort of like, you know, pops up a little like, you know, magic wand icon and you click it and that's like technically using AI. Clippy's coming back. We've said this here. Clippy's coming back. We're bullish on Clippy. We're making a polymarket for it. But then, you know, differently,
Starting point is 01:39:01 it's like a company directly spending money on OpenAI or Grok or Anthropic or any of these other things. So I'm curious how you got there because we've been talking, we were just talking with Tyler Cowen, what is AI adoption right now? It feels like in our world, it feels like it's a hundred percent, but you know, it's also very different to use OpenAI as like a search engine versus using it to develop software, right?
Starting point is 01:39:24 Yeah, totally. Yeah, well, you guys are getting at the key issue with a lot of these conversations about AI is that nobody's really sure where to draw the line about what AI is, if it's going to be integrated into every single tool. And that's similarly, I think, what you get with the problem of a lot of AI adoption measurements, the current US Census Survey, for example, is just a survey question. And it's asking one person at the company, typically the person who answers the phone, whether or not they're using AI to produce goods and services. And it's kind of a confusing question to answer because what does that mean? Does it mean we're using AI for our manufacturing
Starting point is 01:40:02 processes and robots, or are we using it to make sure all of our customer service agents have this body of knowledge which will answer questions? I mean, by the way, no shade to the Census Bureau. They produce a lot of really great work and shout out to them, they have a lot of really great economists on staff. But I do think we can do a lot better if we're trying to measure AI adoption, we should probably use data sets that measure actual transaction activity. We have access to the contracts that businesses are using to engage with the large model companies. We can actually see the size of those contracts, how that adoption is changing, and particularly how that's changing in different sectors.
Starting point is 01:40:41 And that's really where you get a lot of the variability, right? I mean, you see adoption rates in our measurement for technology are about 65% in the tech sector. And that even that sounds kind of low. You'd think, why is there a tech company that hasn't adopted some kind of AI tool? But, you know, when you look at this actual spend data, you also have to remind yourself that businesses are much more diverse than we realize. There are large and small companies that are still evaluating whether or not AI makes sense for their business. There are companies that are still using the free versions
Starting point is 01:41:11 their customers, their employees at many companies that are using their own free and that's not going to be captured in our data set either. And there's other companies that are spending money with Accenture saying like, we want to have an AI strategy, but we're going to give you the deck in Q4 and then give us right to $200 million. Have you had like venture capitalists reach out to you like, Hey, let me get an early read on the on the spend report. I want to know I want to front run it because I feel like every time I see the screenshot go out, I'm
Starting point is 01:41:37 like, okay, there's the next series. There's the next set of series bees that are going out. We get that question. I get a message on LinkedIn or Twitter daily. There are probably people who are listening who are going to message me now or have a response to it. The goal is to make this data public. Yeah, of course. The goal is to make it as available to as many people as possible. And look, there's the business side of it where we really want to help businesses make
Starting point is 01:42:01 better decisions. Yeah. But there is also a public service aspect to this kind of work, which is, look, if AI is going to be this transformative technology that's going to change our economy, that's going to move all of our economic indicators, it's going to increase labor productivity, the very first place we're going to see that is in AI adoption rates. So if you are a policymaker that is building policies, going to try to move these metrics, we should probably know what that metric is.
Starting point is 01:42:29 I don't think 8 percent is the current US sentiment, I just don't think that's the right number. But even so, I think we can add something to the public discourse by showing people, well, there's still a lot of room to grow. We have 18 percent of restaurants on our platform are also using AI right now. And that doesn't mean they're using it to serve people, but
Starting point is 01:42:49 they're, you know, when we talk to them, they're using it for a lot of back office tasks, which means 82% of restaurants haven't done that yet. Yeah. Can you restate those high level numbers census at 8% and then your estimate was what? 30, 35.5% is our estimate across US businesses. That's like significantly higher. That's actually accelerating. Like, yeah. Last month's growth was higher than previous months. Wow.
Starting point is 01:43:13 So it's saying that we're not at this point yet where AI adoption has plateaued, where you know, companies have figured out how to implement it yet. Yeah, yeah. The other thing I would say is that there, what we have observed is there's this sort of learning curve in AI adoption, where your first month on an AI platform does not mean that's how you're gonna stick to implementing into your operations. You might be evaluating multiple vendors.
Starting point is 01:43:35 We often see in RAMP data that businesses are multi-homing AI vendors and using OpenAI, but they're also using Anthropic, and they're using the more verticalized services available to them. See a lot of experimentalism where they use one model for one month and they switch to a different vendor for another month. So all of this stuff is still very early it's still developing. Yeah. What is the ramp data showing about the current market chaos and tumult around tariffs?
Starting point is 01:44:02 Yeah I mean it's a really common question that we've gotten. Look, we haven't seen a significant slowdown in, if that was the concern, we haven't seen a sort of slowdown in business spend on ramp data yet. That's typically what you'll find in both ramp data, but you'll find that in a lot of public and private data sets as well.
Starting point is 01:44:23 Last week, we did go out and actually talk to a bunch of businesses. We interviewed 30 businesses in retail and construction and manufacturing to try to figure out how they did feel about tariffs. We found a few main points in our findings, I think. We found, first of all, there's a lot of policy uncertainty that businesses are concerned about. They're not sure how to respond to the tariffs, how to adjust their operations quite yet. A lot of them are in this sort of wait and see mode where they're trying to wait for tariff policy to settle before they make significant changes in their spending decisions. So that's part of why I think we haven't seen that in our data yet,
Starting point is 01:44:58 though we did talk to several businesses who told us that they were pausing all capital expenditures until they see the tariff policies clearly settled. How that's gonna affect our data, I do think we're gonna need a couple more months to really find it, but so far we haven't seen aggregate changes in business spend in both ramp data and in private data sets, public data sets. Is there another leading indicator?
Starting point is 01:45:20 I mean, AI might be something, I know it's like the most important segment to follow in the spending report. But at the same time, I imagine that a company that's going into a tumultuous financial market, that might not be the first place that they cut, they might actually double down on AI and cut back. But in terms of the type of expenditures that go through corporate cards, what's kind of the canary in the coal mine for a recession?
Starting point is 01:45:47 You know, in the in like the Fed data, we usually look at like credit card delinquencies or car loan repayments or something like that. But are there are there specific categories within corporate spend at American companies that you would expect to track more closely as leading indicator of recession. Yeah. And it's definitely going to depend on the sector. Sure.
Starting point is 01:46:11 So we're going to have some sectors that are a little bit more exposed to tariffs that are going to be making those changes a little bit sooner than others. Sure. I mean, I generally start by looking at the largest categories of spend by business and thinking about where you're going to see budgeting or movement there. So advertising is one digital advertising for I think is a really great way of measuring how businesses feel about the economy. You know, we we rely a lot in the public sphere on these CFO surveys or CEO surveys about business expectations. But if you really want to know how a business feels about their prospects, you should look
Starting point is 01:46:43 at their digital ad spend. Yeah, that makes sense. That is what's going to capture whether or not they see the value in putting ad dollars to trying to get new customers or increase their revenues. We're seeing some changes there. We're seeing, as of last month, year over year, 55% of large businesses reduced their ad spending or kept it the same. Small businesses, however, that's gonna include startups are increasing their ad spend year over year.
Starting point is 01:47:12 That's gonna be a harder sector to track. Startups don't always track the overall economy. They can be a little skewed in that way. But it is worth noting that we are seeing some declines in advertising spend, which could suggest some kind of a... Yeah, it's just an easy thing to react. You can go into Facebook or Google and just immediately reduce your budgets and it's a way to just be a bit more pragmatic.
Starting point is 01:47:37 And I think secretly every entrepreneur thinks, am I really getting my money's worth on those Google brand keyword ads? Like maybe we should do that hold back test and cut those back this month and then see what happens to revenue. And then eventually they sneak back in and you're like, I wanna own my key word. Can you talk about spend across the different
Starting point is 01:47:57 model providers even at a high level? I know there had been some interesting data on DeepSeek specifically earlier this year, but can you dig in there? Yeah. So OpenEye is the clear leader in the model companies across business adoption. More than a quarter of businesses on our platform have an active contract with OpenAI. That's crazy.
Starting point is 01:48:18 Yeah. And they were the first mover, and it just shows you. They've sort of become synonymous with AI products and companies. And it's not just coming from the chat subscriptions, it's coming from their sort of API integrations down the line too. Anthropic is second and they are still growing very quickly. But OpenAI is a clear leader in all of the markets that we're tracking. Though we are still seeing a lot of growth in some of the newcom that we're tracking. Though we are still seeing a lot of growth
Starting point is 01:48:45 in some of the newcomers to the market. XAI has grown very quickly, despite only being a couple of months old, really operating. Grok3 pushed a lot of their adoption up. You're still seeing some amount of experimentalism, some amount of that learning curve from businesses. DeepSeek had a really big spike in January when it really came to fruition.
Starting point is 01:49:04 That slowed down a lot the following month. And, and XAI has now sort of leapfrogged it, but they're still relatively small players. Yeah. Is it hard to understand AI spend with the hyper scalers? Because you can go to Microsoft and then, you know, GPT-4 API into your organization, but that's probably just going to show up as Azure on your, on your ramp bill. If you're even billing it to your corporate card, you know, GPT for API into your organization, but that's probably just going to show up as Azure on your, on your ramp bill. If you're even billing it to your corporate card, you
Starting point is 01:49:29 might have I really have such a lucky job. I, as for sort of a private sector economist, I sit on such a good data set because a lot of those bills they do actually, they produce the line items for API credits and what you get the receipts to it's not just the charge. Yeah, for deep think that was originally a challenge because how do you pay deep seek, particularly when a lot of the business implementation of deep seek was not necessarily going to go through deep seek the company totally the security
Starting point is 01:49:57 concerns with using deep seek. Yeah. And a lot of it was going through sort of these hyper scalers or a lot of the other companies that allow you to integrate an AI model that's that's working on their own local servers. But even then, we'll see DeepSeek as the line item. And so we started putting that data out, trying to get at, you know, we put an article out last month about whether or not businesses are actually adopting DeepSeek in high rates so that business can really figure out where is this market trending.
Starting point is 01:50:23 I think it's extremely hard to figure out without some data, given how quickly everything's moving in this industry. What is your tech stack look like for some of these analysis? Are you IPython notebooks? Are you using Julia or Julius? Two different data. People can make fun of me, but I do a lot of work in a notebook. Yeah. It's great. I mean, it's skilled very effectively. But the real goal is to put things out quickly. And so, you know, we have a lot of notebooks that are just outputting directly to our website
Starting point is 01:50:56 every month. And similarly with the benchmark report that we just released, the goal, I mean, you'll note that it goes all the way through March data. And so the goal is to really provide people with the earliest available data as soon as possible because particularly in this news environment right now, things can just become immediately outdated. Yeah, Jordy.
Starting point is 01:51:21 What is AI adoption look like across different teams? Cause I can imagine at some of these larger companies, you have an engineering team that's using, you know, uh, Devin or Anthropic or Cursor. And then you have, you know, the marketing team, which is using some like app layer company, or they're just using open AI to generate images. Um, how are you seeing it kind of roll out? Well, AI adoption is generally going to be higher at the large companies and the small companies.
Starting point is 01:51:50 And we think it's for that specific reason. Large companies have many more teams, many of them using AI products and services. Many of them aren't. And then those large teams, those teams at those large companies will then evangelize the products they're using throughout the company and increase the adoption rate that way. I mean, the model companies are still growing at a very fast rate, but one thing we saw this past month was that the coding platforms, the quote unquote vibe coding platforms, the
Starting point is 01:52:16 cursors of the world, the level goal, those are currently growing faster than the model companies themselves. Seeing growth rates in the 40s right now. And so, people talk about whether or not any of this growth is sustainable. For what it's worth, businesses are clearly acquiring value from them. And the way these products are developed, I think,
Starting point is 01:52:40 is it's gonna be really interesting to see how they get integrated. I mean, Canva just announced its version of it too. Yeah, that was also one of our fastest growing vendors last month But it wasn't because of an AI coding thing. It was just because it's a really fast growing vendor That's implementing AI across all of its features Yeah, have you gotten pushback from any of these companies saying like hey, maybe don't leak our financials. I like You know, it's like you're sharing too much insight, actually. Completely anonymous, so I don't think it's.
Starting point is 01:53:07 Yeah, it's anonymous. But again, you're naming a specific company. And for most of the companies, it looks amazing. And it's like, wow, they're growing so fast. Oh, you mean on the customer side. Yeah, yeah, yeah. You get an email from OpenAI saying, hey, because of your spend report, people know that we're growing at 30%
Starting point is 01:53:26 instead of 40% or this is off and we're actually growing bigger in non-RAMP customers and so your data's low. Yeah, what's interesting about it is that we've had customers that we reported on reach out to us for more data on what we're reporting on. You can imagine that what's really great about having this data set at RAMamp is that in some ways is, you know, the most comprehensive data set you can find about overall spending by businesses. And
Starting point is 01:53:53 so you can say large AI company, for example, knows how much spending is happening on its platform, but they don't necessarily know how much spending is happening with the other AI model companies. Yep. The desire is really to have some kind of data that estimates that sort of total market view. And the, the logic of this role again is that businesses, people, but everyone, businesses really make better decisions when they have access to better
Starting point is 01:54:19 information. And, and I see my role as trying to put that kind of information out so that companies can make decisions that are right for them. And it's available to everybody for that reason. Are there are there CFOs on RAMP who come to you in a less positive light instead of saying, oh, what AI model should I be adopting or paying up for? Instead, they're like, give me the what should I be adopting or paying up for instead? They're like, give me the, what should I be cutting? Like where are the biggest places to save money instead? Or yeah, they're like, they're looking at like declines and then they're saying, oh, I'm going to target that.
Starting point is 01:54:54 If everyone's, if everyone's unsubscribing from, I don't know, Netflix and their organization or something, they're going to try and do that internally to save money. They do. And that's the fundamental goal of this kind of work is not just to show you what to buy, but it's to show you, first of all, what to cut, what other things they're cutting,
Starting point is 01:55:10 how can you benchmark your business relative to how others are performing? The goal is that if you have access to this kind of data, through Ramp's product, but also through the kind of research that we put out, you might get a better picture about what it really means to be a high performing business, how to run most efficiently, which vendors to use and select
Starting point is 01:55:30 and which vendors other people in your industry are using. And then which ones they're not using. Yeah. One thing you pulled out was that TikTok's ad platform leads in year over year, spend growth signaling advertisers have not been deferred by the prospect of a ban. My question when I saw this was,
Starting point is 01:55:46 is it possible that people are like, hey, we think this platform could get banned. Let's basically try to acquire every possible. Squeeze everything out of it at the last second. Squeeze it. Because rates will be low. Yeah. I think what's showing you is why there's gonna be
Starting point is 01:56:00 such a big bidding war for this kind of platform. Sure. Right, the ad spend just continues to grow. Their user base, I imagine, still continues to grow. It is really one of those unique platforms that is able to both attract a lot of visitors but also keep them on the platform for a long time. It's made ads on short form video kind of work well.
Starting point is 01:56:21 And it's still growing a lot. I mean, I'm really interested in seeing how different how this sort of tick-tock tick-tock fight fight plays out in the business side. Yeah. Makes a lot of sense. Polymarket has the recession at 51 percent. What does uh what does your gut tell you as an economist? How we looking? My real goal here is just to put out data that tell you as an economist how we look in? My real goal here is just to put out data that helps people make their appropriate guesses. I mean, I think there are a lot of headwinds
Starting point is 01:56:51 what we're hearing from businesses. So I hope those get resolved. But hopefully, I hope people are able to make the decisions that make sense for their businesses based on what we're putting out. Yeah, makes sense. Any last word? Do you have any thoughts on AI has the potential
Starting point is 01:57:11 to be deflationary in some ways? Let's take like an e-commerce business who might spend $50,000 a month producing content to make ads and then if suddenly they only need to spend like $5,000 a month because they're able to do one shoot and then just like generate iterations of it or maybe they're eventually able to, you know, just generate all the advertising content that they need. In theory, they would just take that budget and spend it to acquire more customers or spend it to launch new markets or things like that.
Starting point is 01:57:45 How do you think about, how do you think like long-term about, as AI drives efficiency, where those dollars flow, right? Cause budget, if budget is being sort of reallocated because if AI can do something a lot more inexpensively, the budget will naturally flow to where it can sort of generate the highest possible return. And that could be as simple as like,
Starting point is 01:58:08 oh, we spend $20,000 a month for the CPA firm with AI. We now only need to spend $5,000 a month because they don't need as many people working on it or something like that. But then again, you're gonna wanna sort of reallocate that spend to continue to grow the business. Do you have any sort of high level thoughts on if it's again, if it's going to, okay, let's just run more ads or things like that?
Starting point is 01:58:35 Well, I think that real reallocation will happen. And I think that's the reason why we probably won't see deflationary pressure. I'm of the school of thought that AI will be a very transformative technology. I think it's gonna change a lot of knowledge work. I think it's gonna reduce costs for a lot of businesses. But at the same time, I am also fairly realistic about the fact that many parts of our economy just will never be touched by something like AI.
Starting point is 01:59:01 I mean, it will be touched in some ways, right? Like me going to a restaurant, I imagine that restaurant will probably have much easier back office automation because of something like AI. I mean, it'll be touched in some ways, right? Like me going to a restaurant, I imagine that restaurant will probably have much easier back office automation because of something like AI. But you know, me sitting down across from someone at a restaurant is, is not a sit, which is a lot of most people's day to day spending, right? It's just going to businesses on your small business street. Most of that is not going to be touched or moved. And so I think we'll see a lot of parts of a lot of parts of the economy continue to grow.
Starting point is 01:59:26 I think knowledge work is going to change a lot. And I'm bullish about the impact of AI. But I do think much of our day-to-day spending is going to stay fairly similar, as consumers at least. Yeah. Have you thought about any like more niche industry benchmarking? I remember, it was always useful to know how other companies in the same sector,
Starting point is 01:59:55 how much are they spending on their legal bills or how much are they spending on e-commerce development and kind of have a rules of the road. And when you, I did some back of the envelope with some rival companies at one point and found that some of the companies were way way overspending so we should be clearly under that but I could imagine that type of benchmarking being useful just to kind of allocate budgets to say hey realistically you know the IT budget at a company of this size in this industry really shouldn't be more than like 5% of our costs or operating costs anything like that. Have you been able to
Starting point is 02:00:31 Produce anything like that or are you thinking about that? We're working on that right now. I mean the goal is to be able to see whether or not You're a small construction firm in Kansas City. Yeah, and this is your current cost structure can you compare that to other construction firms in Kansas and see how you're tracking relative to them? I mean, I think that's gonna be the real frontier that helps businesses make those kinds of decisions for them. Totally. But we find out where they're over indexed
Starting point is 02:00:56 and then when they're under indexed and then to try to track their performance following the decisions. And just make it like a choice. Like there are times when you wanna invest more than your competitors in a certain area, but there's other times when you want to be below them. And maybe that's your competitive edge. Uh, well, thanks so much for joining.
Starting point is 02:01:11 This was a fantastic conversation. Make it a quarterly thing. Yeah. I can't wait for the next one. And thank you for coming. Uh, coming prepared. Yeah. You look fantastic. I know. People always think it's weird to everyone at work is commenting like I can't believe you are suit today It's like this has been the normal component of menswear for centuries. Yeah Dress the part great to see you. What's happening? Bye Next up we had I'm still I'm still thinking about how Next up we have. I'm still thinking about how Tyler Cowan just came in.
Starting point is 02:01:48 He's like, AGI is here in two days and not super bullish on robots. But yeah, AGI is here. AGI is here. But it's not necessarily going to grow the economy as fast as we want. But it's still here. I mean, it's a good take because it's the same as the Turing test. Like we passed the Turing test and it was kind of a nothing burger. It was like okay yeah you can chat now but you probably still want to watch a live stream especially when you have the founder of California forever in the building. Welcome to the stream. Boom.
Starting point is 02:02:17 What's going on? Good to be here. Hi guys. Hi. How are you doing today? I'm pretty good. How are you? We're good. Could you start just by giving us the the high-level pitch? Introduce yourself and the company the project. How do you refer to it? Sure Young sure my guy found it California forever Almost ten years ago at this point and we are building the next great American city And so we own about a hundred square miles of land, grazing land basically, just outside of San Francisco, about half an hour east of Napa, halfway between San Francisco and Sacramento. And what are we doing here would have been the least controversial project
Starting point is 02:02:56 in California in 1960, when we still used to build stuff, but somehow today it's become controversial. But now it's really kind of going full steam in the last few months. So now we have a couple of local cities moving to approve the new city. And then last week we introduced a proposal to build the Solano Shipyard, which would be the biggest shipbuilding complex in America to help with the shipbuilding crisis that the whole country is trying to solve right now. I mean that sounds like pretty industrial. Is that important to have like an industrial plan and really like jobs growth engine? Because when I first heard about this I was like oh it's like halfway to Napa this will be just luxury mansions for people who have a place in Tahoe
Starting point is 02:03:46 and also have a place in San Francisco, and they'll go out there on the weekends. But it sounds like you're planning for something much more ambitious than just a retirement community for liquid tech people. Oh, yeah, 100%. I mean, I really started the company eight years ago when it became clear that we were
Starting point is 02:04:05 going to need basically what Silicon Valley used to be. I mean, you look at what the Valley used to be all the way through the 80s. It was primarily hardware, right? Until 1985, the biggest employer in the Valley was Lockheed Martin. It wasn't Microsoft. It wasn't Oracle. And so the focus from the beginning was, yeah, a bunch of really high quality housing, great walkable neighborhoods, but also how do you go back to what the Valley used to do, which
Starting point is 02:04:31 was make planes and microchips and radios all the way back at the day. And I mean, that was eight years ago, but I think if you look at what's happened in the country and in the world over the last eight years That's kind of just supercharged that whole effort. And so when we came out here and introduced the project about a year and a half ago We said that we would want to bring particularly advanced manufacturing and aerospace and defense to Solano County and It kind of got lost in a lot of the media coverage But that's been the that's been the focus since the beginning. Has the controversy, which is a seemingly silly controversy, especially for our audience, because the idea that we should just build more housing and advance manufacturing just seems like it should be agreeable with every American, but do you feel like the controversy
Starting point is 02:05:18 has actually maybe been beneficial at all in the ability to sort of like attract, you know, you know, independent thinkers, people that otherwise, you know, if it was still the 1960s and everybody was just pro building in new cities, maybe it would have been harder to recruit, you know, just like truly exceptional talent to join the team in this sort of movement. Maybe it wouldn't have been in the sixties. Maybe it wouldn't have been. I think about California forever as somebody who, you know, grew up in the Bay Area and in Sonoma County and you know,
Starting point is 02:05:48 I think about it as like very exciting, very ambitious and like something like very worthy of a ton of investment. But back in the 60s it would have been, you know, okay, a lot of people maybe thought that they should create another city or something like that. Oh, 100%. I mean, it's a great question. I think it's the first person who asked it, but we've definitely seen it, which is a similar thing that I think you've seen with
Starting point is 02:06:12 early Anduril and early SpaceX, where if the whole world is saying, hey, this is a dumb idea, you can't build a new defense company in 2016, and you can't build a rocket company in, I don't know, 2004, 2005. We've definitely seen that the people who want to come and work on it are people who really believe. And it shows, right? It shows in the quality of the talent that you can get.
Starting point is 02:06:33 And it is ironic in that if you propose this in 1960, there were a ton of these happening all over the country. I mean, Irvine is a great example in Southern California, right? Irvine is a city of 300,000 people. There's 250,000 jobs on Irvine is a great example in Southern California, right? Irvine is a city of 300,000 people There's 250,000 jobs on Irvine. They have more jobs than they have working-age residents It's one of the safest places in America some of the best schools It is different kind of a place. It's the best in class Suburban community if you want but not what we're trying to build, but a huge success. That was started in, I think, 1962.
Starting point is 02:07:07 There was zero controversy about it in the beginning. And same thing happened in other parts of the country, but it's kind of an old idea that we used to have and then we forgot it as a country. And then everyone is shocked that people can't afford to live anywhere because we stopped building stuff. What is the roadmap for actually building a new city? It sounds like there's a corporation here, you've raised money, there's investors and at some point they might want to return on their investment.
Starting point is 02:07:34 What steps do you have to do? What steps have you done? What steps do you still have to realize? And then it sounds simple to just go and build a city in some ways, because it's, you know, there are companies that their whole job is building houses or building buildings. There are companies that need buildings to have to live in or people to live in and like, Oh, that makes sense. But then there's something that's still really hard. What is that thing?
Starting point is 02:07:57 Yeah. I mean, it's, it's, I, I, I describe it as, I think someone coined the term complex coordination startup. There's no breakthrough here, right? There's no, we're not trying to make a rocket fly. We're not trying to cure cancer. We know all of the steps. You just have to put them together really, really well and finance it correctly and execute on it.
Starting point is 02:08:16 And we do build new cities in America, not in California largely, but we build them in Texas and Arizona. We just don't call them new cities. We call them master plant communities. Now the difference is they are largely residential and they don't have manufacturing or jobs and so on, but we do build them. I kind of compare the company to a biotech company, which basically has three distinct
Starting point is 02:08:41 stages. The first one is you kind of invent the drug. The second one is you go through the clinical trials and then you get it approved and then you commercialize it, right? You sell it. And for us, the three distinct stages was, the first one was to buy the land. And so I spent seven years very quietly raising money
Starting point is 02:08:57 and buying the land. And in the end we bought about 60, sorry. One question, maybe you're about to say this, but were you piecing together like tons of different properties? Like imagine there's not a hundred square miles just sitting there like, hey, you wanna buy this? For one price.
Starting point is 02:09:13 Yeah. Yeah, I wish, I wish, that would have been easier. No, we, it took seven years, 200 individual transactions, 700 individual sellers. And so it was probably, it was probably the most successful, I think, land assembly in the history of the country. But yeah, it took seven years to put it together. Very long process.
Starting point is 02:09:38 And then, so that's kind of phase one. Phase two is what we're going through right now, which is the planning and the permitting. Yeah. And so we're doing both the actual planning of how do you design an incredible new city and how do you combine the old and the new in the best possible way to create a great quality of life. And that's going to take us about another two, two and a half years. And then we are hoping to break ground in 2028. And from there on
Starting point is 02:10:05 it's kind of the first phase in a biotech context if you want which is basically build and sell and you start out slow and the first year will probably build 500 homes and then the second year you build more and eventually you're building thousands of homes every year and all of the accompanying industrial space and retail and commercial space and so on. And really the vision is to build a city that actually looks pretty old school, at least in terms of on the surface.
Starting point is 02:10:34 I mean, a place that looks very much like some of the most beloved neighborhoods in America, like at a smaller scale, Charleston, South Carolina Carolina or Savannah, Georgia. And then as the city grows and becomes bigger, Chicago, Brooklyn, Philadelphia, Georgetown. Yeah, I'm excited to hear that because in many ways, like the classic thing in tech is, you know, it's not like you've maybe built like 10 cities before. And so to come in and say like, oh, we're going to reinvent the city and just completely redesign everything. And I've had this theory for a while that like suburbs are like nice in a lot of ways. I live in a, I live in a small like gated community.
Starting point is 02:11:13 There's like a hundred something homes. It's like generally well run. I like my neighbors. I have friends that don't live in suburbs yet. And they like tell me like, I just want to live somewhere that's safe and community-oriented. Why doesn't this exist? Yeah, why doesn't this exist?
Starting point is 02:11:29 And I'm like, we were sort of like, I feel like as a sub-30-year-old, my generation was just against this idea of suburban living. Yet the idea to live just outside of a major industrial area with like-minded people that has like family values and things like that is actually fantastic. So I guess like how long like did you did you know from the beginning that this sort of like historical concept of a city it was like pretty pretty, pretty good. Right. Like you're talking about like Charleston, right.
Starting point is 02:12:06 Like you can, it's not like, did, did Charleston like have it figured out, you know, whenever they like created the city or did it sort of naturally evolve into that state? And how did your thinking shift at all from the beginning of saying, oh, we need to completely reinvent this or, or the right model already exists and we need to sort of emulate that in some way? Yeah, I was pretty much in the camp of we know how to do this, we just need to do it again. So my take is that there's a tremendous amount of wisdom
Starting point is 02:12:37 in how we design cities. I mean, we've been building cities for 10,000 years, right? It's not like iPhones. And so to come in and be like, I'm gonna design a better phone, that's pretty reasonable, right? We've been building phones for 20 years, so you can kind of say, I'll do it better. Also, the technology of what you can do has changed, and so it opens up new possibilities, right? Same with a car. But with a city, like you can do some smart things in it, but at the end of the day, it's
Starting point is 02:13:02 a bunch of buildings and parks and schools and shops and businesses, and we've been doing it for 10,000 years, not in this country, but elsewhere. And so I think it's pretty arrogant to come in and say, we're going to redo all of this and do it from scratch. And I think a lot of the backlash against tech coming in and saying, we're going to invent how to do cities comes from that. People just saying, what are you talking about? Then particularly, you have these images of steel and glass and everything is a skyscraper.
Starting point is 02:13:33 It creates this very alienating human environment where people don't really like living there. I also came into this after 10 years of living in the old York and the old Cambridge and London and Zurich and Manhattan and the old parts of San Francisco. And so I was pretty charmed with those places. And so from the beginning, that was the idea. And I think in particular, we are pretty excited about this intermediate, people call it now gentle density or missing density. intermediate, people call it now gentle density or missing density, where right now what we have in America is you have mostly single-family subdivisions and then you have six-story buildings where you live in a small studio or a one-bedroom apartment and if you have kids and
Starting point is 02:14:15 you want some space for them to run around in the garden, tough luck. And we don't really build anything in the middle and I kind of think that the magic happens in the middle And that's why those neighbors are so charming right because you can have a row house and you can have a backyard So your toddlers can run around in the backyard But then the plot sizes are small enough that if you want to walk to a restaurant or your kids to school or to a coffee Shop, or you just want to go out at 6 p.m And walk over five blocks and see your friend and have dinner with them, you can do it. And that's the sweet spot that we are really excited about.
Starting point is 02:14:48 And so for us, most of the magic is two to five stories, row houses, small apartment buildings, what's called small parcel fabric. So every house is a little bit different. It has that old charm that you see in the Marina or in Noe Valley locally in San Francisco. And we've basically stopped building those neighborhoods. And I think they are really magical and that's what we're mostly gonna be building. Can you talk about the potential impact
Starting point is 02:15:16 of a single new city with specific ideals, right? You talk about, when I think about, you have 100 square miles, you're gonna have, I don't know how many residents, but if you have thousands of homes, it's, you know, be tiny percentage of California's population, but could theoretically, you know, meaningfully, you know, impact like a bunch of different metrics. Can you talk about like what you think success is obviously like a new city that's thriving, has a local economy, a bunch of happy residents, families, people that, you know, generations that grow, you know, old there.
Starting point is 02:15:53 But what does kind of success look like across, you know, whatever metrics you're sort of thinking about? Yeah, I mean, at a very micro scale, my personal goal. So we have a couple of young kids and another one on the way and my personal metrics. So we'll move in the first house in the city. And my wife has given me the goal of the first one has to go to school in the new city. She said preschool.
Starting point is 02:16:18 I think that's going to be a push now, but we'll try for school. I think success is if kids can walk to school alone. That's a pretty big one. And I kind of think of kids as, they basically indicate a species, right? Like if you have a city where your kids can walk to school alone, it says a lot about the city. It says a lot about how close things are.
Starting point is 02:16:39 It says a lot about safety. It says a lot about kind of neighborhood relations and you feel enough trust in the system that they're not going to get abducted and police works and all kinds of stuff works basically. So that's it at the very micro level. And then at the very macro level, I think there's a cultural moment in California where the state is kind of waking up from a few decades of not building very much. And I think when the history of the state gets written in 40 years or 50 years, and
Starting point is 02:17:15 they're talking about this kind of turning point in cultural attitudes and how the state kind of went back to what made it work for a century, I would like California forever to be a footnote in it and say, well, one of the things that happened in this moment was this project and it kind of galvanized and helped rethink the attitudes towards growth in California. And it very much feels that way. It feels like, at least to me, it feels like a bunch of people left during COVID and they went to other places. And then they kind of learned the shortcomings of other places, let's just say that. And they realized that when nature or the almighty
Starting point is 02:17:56 or whatever was creating California, it kind of was creating the planet. It kind of got an unfair share of all of the advantages. Yeah, can you- The prodigal son returns. Yeah, so can you, you know, so growing up in the Bay Area, I watched as San Francisco basically got worse every single year for like, as I became an adult basically.
Starting point is 02:18:17 But I, but, and during COVID I was in Southern California and I had the same thoughts as everyone else, you know, sort of looking, you know, they said, you can't go to the beach. So I was like, well, if I can't even go to the beach, why am I here? And everything's closed down. I started like everyone else looking at Zillow and things like that. And other States decided to stay because I just spent my whole life here. And I really believe in California and I want to make it better.
Starting point is 02:18:41 But can you talk about the sort of why California is so great? Because obviously like I can imagine if this, if this model city works, then you could do other states, but you named the company California forever. So I imagine you would maybe even, you know, try to pursue this model in other places in California even. But can you give like, can you give the bullcase for California?
Starting point is 02:19:06 at a sort of extremely sort of high level ignoring all the sort of You know last 20 years of politics and anti-growth and all that Yeah, I mean I Mean if you're trying to write history, right? so you you write the history of the world and you write the history of America and then people cross the continent across all of these pearls deserts and most of them die and they get here and they kind of get to this place that just been blessed with geology and climate and all of the all of the stuff and
Starting point is 02:19:39 And then obviously the What is it the the the And then obviously the, what is it, the weak didn't make it and the ill we left along the way or something. So you get this carter of people who come here who are just basically the self-selected pioneers and they get to the ocean and then there's nowhere else to go and so they invent Hollywood and then they invent tech. And we basically create the two industries that have defined the 20th century. And then unlike with Detroit,
Starting point is 02:20:09 those industries happen in a complete natural paradise where you can be skiing versus on the beach in four hours. And then the California values and the California ethos defines the 20th century. And then we screw it up because we can't build stuff. It's ridiculous, right? Like I grew up in post Soviet Eastern Europe with this vision of California as this place of optimism and opportunity. And then after 28 years of my life, I get here in 2013
Starting point is 02:20:37 and people are throwing rocks at Google buses because we can't build enough housing, which we've known how to do for 10,000 years. And I'm sitting here like, what the fuck is going on? And then you look at how we designed the housing system. And if you tried to break up a society and make everyone hate each other, you would design the California housing system. You would have a fixed housing stock in one of the most desirable places to live in the world,
Starting point is 02:21:01 which basically means that you make one person fight against another for housing. And then you have the dumbest industrial policy in the world, which basically means that you make one person fight against another for housing. And then you have the dumbest industrial policy in the history of America, which is we invent every company worth anything in the country. And then we force them to leave the state. It's insane. It's like we waking up from a bad dream.
Starting point is 02:21:19 Yeah. But I think what happened to your point about COVID is people went to other states and then they realized all of the problems there and they came back. But they came back with a different attitude. They came back and they said, hey, we've been living here, but we haven't really engaged in politics. But we're going to change that now because we looked at all of the other places in America and they are pretty nice, but they're not California.
Starting point is 02:21:42 So we're going to stay, but we're not going to And so we're gonna stay, but we're not gonna let these radical ideas just destroy the state. And I think that's what you've seen in the next couple of years, and it feels like it's just accelerating. And we're pretty excited to kind of be part of finding the new middle path where you can show that you can build stuff, but you can also build it with California values, but you have to build it.
Starting point is 02:22:04 You know that you are not a progressive if there's no progress in your state, and you're not for economic opportunity if the teachers who teach in your school have to work, have to live two hours away and commute four hours every day. You're just not. And we have to reckon with that. How do you think about fire, wildfire prevention and protection? I'm sure you guys have thought about it a lot. I live in Malibu. John lives in Pasadena. So we both went through this and it felt like the palisades should have been in
Starting point is 02:22:34 many ways, just it should have, should have been more defensible than it was. And there was a lot of reasons that that happened. And so I can imagine if you're building a new city from scratch in, you know, Northern California, which is fire prone and just the state has been fire has always been fire prone, right? If you look throughout history. And one thing that was interesting about the palisades, I was talking with a friend and he said that there was like a commonality between the homes that didn't burn down. And it was like some
Starting point is 02:23:03 way that the roof was attached to the siding of the house. And it was just like this one design decision that is like less environmentally friendly. Like it doesn't, you know, maybe hold in cool air as efficiently or something. I actually don't know specifics, but that was like the common ground between all the homes that didn't burn.
Starting point is 02:23:23 So when you get to design a city from scratch, like the layout and everything, and then design all the homes from scratch, how do you think about that? Uh, if, if the ultimate goal is to prevent, you know, uh, fire, you know, destruction from fires and then also make sure that cost of home insurance stays reasonable. Yeah. So here's a, here's a, here's a mind-boggling statistic. There isn't a single new neighborhood in California, not one, that ever burned down.
Starting point is 02:23:54 Ever. No new neighborhood, sorry, in the last 20 years. No neighborhood that has been built after roughly 2000 has ever burned down. When there was a big fire in Mission Viejo down in Southern California, when there was a big fire in Santa Rosa, the new master plant communities, the new neighborhoods have become places of refuge where the firefighters take breaks. And that's because we've, we've tightened up the building code so much in the last 40 years that these new buildings are borderline impossible to burn down.
Starting point is 02:24:26 And so one of the unfortunate consequences of the California building regulations is, we've made it so expensive and so frustrating to build new buildings, that we keep old buildings around for longer than we should. And those buildings burn like nothing. But we will do more than that. We will have the most modern water distribution systems and backups on backups and building
Starting point is 02:24:48 materials. But the reality is even if all we did, what everyone else is doing in new communities, none of that has ever burned down because they are so far resilient. And the second component of it is one of the reasons for why this site is by far the best place in Northern California to build is it has the lowest exposure to natural disasters of any site within 200 miles. So the entire, we own 68,000 acres at this point, it's over 100 square miles. There isn't a single earthquake fault line running through the whole site. It's unheard of. Normally, our engineers tell us,
Starting point is 02:25:25 you cannot find 3,000 acres. There was an earthquake in the studio down in LA like today. Yeah, we're on the 10th floor of this building. It started shaking. You could hear noises from that side. Right before we went live. It was very funny.
Starting point is 02:25:40 So that's one, and then just on the other two, the whole thing is surrounded by water or grass, which means you don't have the fire risk the same way because there's the trees that normally have all of the combustible load. And then the whole thing is above flood plain and sea level rise and so on. So it's a pretty cool place to build.
Starting point is 02:25:57 Yeah, you're not at the wilderness interface, as I say. I have a question about Ezra Klein's abundance. It seems like a dramatic shift in potentially like the democratic platform if he really gets it to take hold. Very pro growth now. He uses the analogy or the story of the California high speed rail system as instructive for but his whole pitch is is not necessarily burn the government down. We need to be ultra libertarian, let anyone build.
Starting point is 02:26:27 It's much more make the government great again. What is your read on the abundance agenda been? And just kind of give me your take as much as you've dug into it. I've been a fan. He's been writing about it for a couple of years. And I've discussed it with Derek Thompson quite a bit. And I'm a huge fan. I think that the devil is in the details, but to me, whenever people on both sides of
Starting point is 02:26:51 the political spectrum are kind of saying the same thing, there's a deep underlying truth at work. Totally. And there's some differences between what Mark Antwiesen is saying with it's time to build and what Tyler Cowan is saying with kind of state capacity and with what Ezra is saying, but they all, there's an underlying truth at work that they saying with kind of state capacity and with what Ezra is saying. But they all, there's an underlying truth at work that they are all kind of getting at and I think the devil for abundance is going to be in the details.
Starting point is 02:27:15 Can they actually simplify the regulations enough? But I do think that California desperately needs a big win in the built environment. Everyone knows that we can build apps and phones and drones here, but people have given up on our ability to build something. We posted this thread on Twitter about the Solano shipyard that we proposed last week that went pretty viral. If you look at the comments, it's fascinating. 99% of the comments that are negative are saying, this is an amazing idea,
Starting point is 02:27:47 but California will never let you build it It's literally there's like 400 comments that are maybe 200 are negative 195 of them are basically saying great idea California will never let you build it and to your point they quote high-speed rail And so I think California desperately needs to show that we can build again and have an example for the Abandoned Movement. Like this is what it looks like. And I can't think of something bigger and better that could do it than California Forever, particularly because we put it in the name.
Starting point is 02:28:16 I mean, if California wants to stop being a joke to the rest of the country on our ability to build, we need something that's as big as high-speed rail to reset the conversation. We're not going to reset the conversation by building a bunch of five story apartment buildings in San Francisco. Nobody cares across America. We need a big, bold statement.
Starting point is 02:28:35 And I think this could be it. If you had the ability to step into a particular government role with essentially like complete control for a day or some hypothetical, and your choice was a mayor, a governor or the president, which one would you choose? Like where does the, what position or what level of abstraction over our government has the highest ability to act as a lever on housing policy. America tends to focus a lot on the presidency.
Starting point is 02:29:08 But I've always wondered, is there an executive order that can fix housing policy? Is there a bill that we should be passing? Or is it more at the state level or even more at the local level? So that's part of the challenge. Fukuyama called it veto-cracy, and I think Ezra gets into it in the book. None of them alone can do it. I mean if you look at what we need to build, we need local permits, we need state permits
Starting point is 02:29:31 and we need federal permits. And you could get all the local permits you want but unless you get the state permits, you can't build it and conversely. And so we've created this system where you need 25 people to say yes, and if one of them says no, you can't build. And so I think the goal for people like Ezra and the Abundance Movement in some sense is
Starting point is 02:29:52 going to be reducing the number of people who can say no. I mean, imagine if you're running a company and to do anything you needed 25 people to say yes. You would never ship anything. And none of them, and in many cases, and the CEO didn't have the power to override your head Of sales or your head of product you will never ship anything. Yeah Yeah, yeah, that makes sense one last question for me
Starting point is 02:30:15 You said that you're not building skyscrapers on day one But as I think of how a city evolves, as it gets bigger and more dense, I actually love skyscrapers and I love the idea of a city getting more and more vertical as it gets more dense, as it's more economically successful. How do you think about setting up zoning or housing policy or even just expectations that you're moving into a quaint suburb or mixed use environment on day one. But if this goes really well, yeah, we're putting up the 40 story or the 20 or even the 10 story building. Is that just a cultural thing? Or are there regulations that you want to instill from day one to allow the city to scale? Or is it more of like a copy paste
Starting point is 02:31:03 strategy and you think we just need 10 of the same communities all over the, all over the state and that's how we win. Yeah, I mean, it's a great question. Um, I think for a long time we'll be able to replicate it by just growing. I mean, we have a hundred square miles. It's th that's twice the size of San Francisco, five times the size of Manhattan. It's bigger than the city of, uh, of Seattle or about the size of San Francisco, five times the size of Manhattan. It's bigger than the city of Seattle or about the size of the city of Atlanta.
Starting point is 02:31:30 And if you look at places like Barcelona or Paris or even Chicago, they get to really large populations just with six-story buildings, and there's a lot to say for that. I think the other part of the question of how do you give people a voice in their neighborhood and what it looks like. I actually like the the Texas model for this. So we try to do this with zoning in California, but this is very unclear who control,
Starting point is 02:31:56 I mean the city council controls the zoning, but like when should it be changed and that kind of creates all of these fights that we've been dealing with for the last 10 years of I moved into a single-family neighborhood and I don't want any four-story buildings here. I think the way to do it is to have a really permissive zoning code that goes all the way up to five stories from the beginning at least. And so for example in the city that we've proposed, every parcel can be built up to five stories from day one. But then what you do is you allow home builders and residents to control kind of their block or their neighborhood through covenants.
Starting point is 02:32:32 And so that's a private contract that can exist on a few blocks that says when this was built, this was meant to be a lower density neighborhood with buildings going up to three stories. But that also means that it's clear who has the power to change it, which means 50% of the people or 60% of the people living there can vote and they can lift it. And that also means that when they do it, they might kind of lose something and that
Starting point is 02:32:57 maybe there's a taller building that looks into their backyard, but maybe their property became more valuable because now you can upgrade it and you can build a second another story or other two stories and so I think that's a really good way of dealing with it at a Neighborhood level that is just much more adaptable to change over time. Well when I get there, I'm building down I'm building four sub basements. I'm gonna have a bat cave. I'm going down Everyone else to be sitting to five stories up. I'm gonna be five stories down Tiny hot on the roof. How are you, I don't know, I don't know if we have more time.
Starting point is 02:33:30 I know we're five minutes over already, but if we have time for one more question. I'm curious of how much you've studied HOAs and all the, you know, my HOA like runs on paper. So if you wanna pass anything, it's like you need, they'll like send you something. Everybody has to sign it. Of course, nobody's like, and then, and then like apply it
Starting point is 02:33:51 your own postage and like get it back to them. And it's a bunch of silly rules. So like building an HOA from the ground up that just effectively, you know, is digital first. It uses the internet like, what it seems pretty, it seems pretty powerful, but I'm curious if you've, you've spent so so many, I mean, it's just like a meme at this point, so many people like, you know, have a...
Starting point is 02:34:13 I'd love to just hear best practices for HOA design. Like that's an interesting question. Yeah, and in the context of like an entire city. Yeah, yeah. What's the biggest mistake and what's important to get right? So it's an area that we've done some work on not a whole lot yet. I mean, that's kind of a little bit downstream We have a couple of years to figure it out. The question that I've been obsessed about the most is why does everyone hate their HOA? Just at a very human level like it always seems like people hate it. I
Starting point is 02:34:41 Ours is actually fine. But a lot of people hate it. Ours is actually fine but a lot of people hate it. I wonder whether there's something about the appointment of the HOA board that's part of the problem. I'll tell you my reason. Are you the president of the HOA? I'm not, but the president is in the home building business of my HOA and so if you want to get your plans approved for some reason, you gotta use him and it goes super fast. So it's basically like mafia style. But this is what we like. It's one hand washing the other.
Starting point is 02:35:11 No, we don't. We don't like that. We love when one hand washes the other. We don't like that. So that's my personal... My take on... I mean, it goes to this. I think there's all kinds of issues with direct democracy that we've tried, but I do wonder
Starting point is 02:35:29 whether it could work pretty well with tech at an HOA level, which is a relatively low stakes like vote to fraud and whatnot. Instead of having a three person board, if everyone just had an app and then you hire basically a HOA manager to kind of execute, but you didn't get into the politics of who's on the board and which neighbor they like and so on. And it's like, hey, I want to rebuild my house. Here are the plans. Can you guys vote on it?
Starting point is 02:35:54 You've got a month. I wonder whether you could remove a lot of the really complicated social dynamics around it. The other benefit that I think you're going to have is a lot of neighborhoods have, like the challenge is if you're creating a new neighborhood in a new city from scratch, you can get a bunch of like-minded people that are there for similar reasons at the same relative time, which is very different than somebody that moved into a neighborhood in the 60s, has been retired for 20 years, and their set of priorities is very different
Starting point is 02:36:22 than the young family who's coming in today and you know maybe paid ten times more for their house or something like that and that those sort of like competing priorities of somebody who spends all day at home is very different than you know a young a young family who like you know prior is like super oriented around security or you know something else so I think this question oh sorry oh no I was gonna say I think there's actually two really deep truths in what you said and the first one is I've heard from a lot of people that's actually what they miss the most about kind of moving into a new subdivision which is often it was a lot of young families and so you had everyone was
Starting point is 02:36:57 kind of in the same stage of life and they had kids and it really created a sense of community and that's harder to find. And then the other one is the other kind of exciting thing that came out of COVID was people realizing just how much better your life is if you can live five minutes away from your friends or a minute away from your friends. I mean we lived during COVID we moved five doors down from my sister-in-law and we just had the best time. It was incredible and people came back and they said hey I I'm going to try to move in close with my friends. But it's really hard to do it in practice, right? You need to solve this issue of you all need to find a home in the same neighborhood and
Starting point is 02:37:33 nobody wants to be the first one to jump and so on. And you're driving up the prices in the neighborhood simultaneously. And then for all of the people who want to do it kind of in Tech you don't always necessarily when I'm moving like a new subdivision But I think that's gonna be a huge part of who moves into the new city is gonna be a bunch of people who live right now Different parts of the Bay Area and they all kind of like the designer static and will be trying to build and they can get Houses on the same block. I mean you could you could connect My wife and her sisters have the plan of connecting the backyards. That's amazing. So I think there's gonna be a lot of innovation
Starting point is 02:38:08 in this kind of, not communal living, but kind of co-living or living nearby with your friends and family. That's gonna be pretty cool. I love it. My last question, have you played City Skylines? No. You got to.
Starting point is 02:38:21 It's a city builder. It's like what you're doing in real life. He's doing the meme there. He's doing doing in real life. He's doing the meme. He's doing it in real life. He's playing the game. But it's like the most popular modern version of SimCity. I'm sure a lot of fans will enjoy it. They can play along at home.
Starting point is 02:38:35 Anyway, thank you so much for coming on the show. Yeah, this was great. This was fantastic. I'm so excited. Thank you for, I can't wait for you to move into your place. It's going to be a 15 year overnight success. Oh, a hundred percent. Next time, next time you guys should come up and, uh, we'll, we'll be loving it.
Starting point is 02:38:52 We'll decide once they're broken. Fantastic. Good to see you. All right. Cheers. Have a great rest of your day. Let's move on to the timeline. You threw this in. We got to talk about this.
Starting point is 02:39:01 China is currently exposing all the European luxury brands with TikTok videos, confirming that over 80% of the luxury items being bought at ridiculous prices are made in China and only packaged in Europe. Interesting. You see this? Yeah, I gotta basically put this in the truth zone. There are a lot of luxury goods brands
Starting point is 02:39:21 that make products in China. Sure. But some of these videos coming out were basically like Birkin bags. Were like knockoffs? Which is like, yeah. And I do believe that this was like basically in a large part fake news.
Starting point is 02:39:39 Going on and saying your Hermes bag is made in China is offensive to the generation of artisans that have been hand-stitching these bags in Europe for a long time. So the goal here is to get American consumers of luxury goods to falsely believe that their goods are made in China and therefore be anti-tariff or anti-trade war?
Starting point is 02:40:03 Is that correct? I guess. Yeah, I think that's the strategy. I think that's generally the strategy. What's funny is they could just be like, your iPhone is being made in China, and that's true. And also something people really care about. I think the whole idea of,
Starting point is 02:40:15 I don't think brands should optimize for transparency. Nobody wants to find out they paid 20 times more for a product than what it costs to produce. But at the same time, I think people like, when they're making a purchasing decision, like they're making it based on the fixed final cost of the item, right? That's how they're analyzing like the sort of value exchange.
Starting point is 02:40:41 It is interesting. The one thing that China did recently is they basically made knockoffs and dupes legal in the country. They used to like crack down on it more. But you can actually go in China and go to entire malls where it looks like a Prada store or it looks like a North Face store except every single product in it is fake. And like very good quality, that's the thing. Like they can nail the quality.
Starting point is 02:41:07 It's not gonna be the same quality as some, like a dupe Birkenbag won't be the same as an authentic one, but from 20 feet away, it'll look like it. I don't know if that's true. I don't know that China can always copy things with enough quality. I was thinking about the disaster that could occur if you tried to buy a fake eight sleep,
Starting point is 02:41:29 and then it ruptured and you drowned to death because you bought a cheap eight sleep instead of just going to eightsleep.com slash TBPN and getting a real eight sleep. They have a five year warranty, 30 night risk free trial, free returns, free shipping. How'd you do last night, John? Go off on the, I already checked checked I'm off on the schedule again
Starting point is 02:41:48 I figured it out though. I have cracked the code and I'm gonna be upping it I was at a 90 last night, although it's dropping now. It's a nine now. It's an 89. I don't know what happened But it does it after you wake up. Okay. Well, I slept pretty well 740 but my routine was a 73% and I figured out the algorithm for the routine and I'm never making that mistake again. Uh, you have to, it takes the, the rolling three day average of when you go to sleep and you have to be within that band within 30 minutes of your rolling average. So you can be a night owl and still have put up big numbers.
Starting point is 02:42:25 No, that's what it's all about. Yeah. But it's about consistency. You've got to be consistent. Specifically, 30 minutes within the rolling average. So now I'm dialing in my rolling average. I know what that time is. I'm going to be asleep before the 30 minute we go.
Starting point is 02:42:36 No, it is funny that people take the time that they wake up very seriously, yet don't take the time that they go to sleep. Yeah. It's the bedtime alarm is more important than the wake up alarm, for sure. Yeah. Anyway. In my household, the alarm bells start going off 7 p.m.
Starting point is 02:42:51 7 p.m. It's bedtime. It's bedtime. Nobody sleeps harder than me. It's bedtime. This was interesting. Yeah. So I guess, apparently some news came out
Starting point is 02:43:01 that the White House released a corresponding memo indicating that the exemptions also extend to changes in small parcels shipping duties. Apple, Tmoo, Sheen, whatever. So anyways, this guy Dave is saying, wow. So the news over the weekend was, hey, for the really critical stuff, we don't want to destroy Apple. It's one of the greatest American companies. We don't want to destroy Nvidia.'s one of the greatest American companies we don't want to destroy Nvidia we're gonna create exceptions for
Starting point is 02:43:26 those but apparently in this one corresponding memo Tmoo and Sheen were also included in the exemptions and they've been taking advantage of that de minimis exemption where they don't pay any tariff if they're under a certain weight and Dave here says whoo almost hurt T Timu and Sheen's businesses, which is ridiculous. Obviously, that's the easiest category to target, because it's purely eroding quality American goods with this crazy loophole. And people have been expecting a de minimis exemption,
Starting point is 02:43:59 tariff or addressing that loophole for a long time. We talked to Ryan Peterson at Flexport about that So it'd be very weird if that sticks around that feels like an anomaly or something that might get flipped Yeah, I think it's a short term. I Think it's short relatively short. I mean a lot pretty much everything so they're planning to close it on May 2nd right now Everything everything is short term right now. Nothing is nothing is written. So it's still free game If you're trying to buy a couch for $15, yeah head over to teamu. Yeah download the app. Yeah and I mean you can think about all the tariff stuff is like vibe lawmaking You just embrace the exponentials let the vibes take, and forget the law even exists. That's right. That's the way you do it. Anyway,
Starting point is 02:44:49 Kyle Tibbitts over at Wander is posting a photo of the Masters. They ran an ad in the Masters. I can't imagine a better audience to hit with a Wander commercial. And very cool. They're using a little news bar at the bottom. I like a nice design I like let you know as you're watching the the the ad the dot-com the logo There's a surprise waiting for you at checkout So head over to wander and find your happy place find your happy place book of one inspiring views hotel grade amenities dreamy beds top-tier cleaning 24-7 concierge services We should put all of our ads and publish them
Starting point is 02:45:26 as an artist on Spotify. Oh, that'd be good. So people can just listen to them. Totally. I think the song has been a resounding success. A success. Yes. It's gonna worm its way into someone's mind,
Starting point is 02:45:39 and in 10 years, they're going to book a wander and have the find your happy place jingle play in their name, play in their name. I mean if we if if real success looks like you go to Wander.com and just automatically I want to bring back like songs that play when you land on a website. Yes. Yes. Yes. And those trailing mouse moves like the mouse move the trails and and the colors and HTML 1.0 vibes. Success looks like our faces being used as like, if you have a question, ask us. And it's like in the bottom right hand corner.
Starting point is 02:46:12 To me, success looks like going to getbezels.com and getting a watch because your bezel concierge is available to help you source any watch on the planet. Seriously, any watch. Phenomenal transition. They're recommending the Rolex Day-Date Yellow Gold. That's the presidential. They got the GMT Master, the Batman.
Starting point is 02:46:29 They got the Datejust Wimbledon. They got a Submariner on here. There's lots of great options on bezel. Go check them out. Anyway, I like this post from Will Brown. Underrated poster putting up some great content. So he's quoting Paul who says, "'So Google Sheets now has an equals AI formula.
Starting point is 02:46:48 "'You can process data that was impossible "'before in a spreadsheet. "'Gemini understands what's in the cells "'and returns tailor-made answer.'" And he quote tweets it with, "'E equals MC squared plus AI.'" And do you get that reference, Geordi? I do not.
Starting point is 02:47:02 It's a very funny reference. Someone posted an extremely cringe LinkedIn thread about how AI is so disruptive. You must now consider a new formula called E equals MC squared plus AI. And it was very viral. It was very funny. But it is very silly that Google Sheets
Starting point is 02:47:22 just has an equals AI formula because most of the other formulas are like specific mathematical formulas. Like AI can do a lot of things, just like math can do a lot of things, but typically you have a formula for a sum or an average or a V lookup that does something specific and not just equals AI. So the bad naming continues across all AI products. But it's not all bad news because Francois Chalet, the creator of Arc AGI, former Google employee, just posted,
Starting point is 02:47:52 Google quietly released a powerful recommender library optimized for Jackson TPUs based on Keras, which is the library that he created while at Google. It's called RecML. It has native support for sparse core, latest hardware for handling large distributed embeddings. And so what this means is that if you're just building a, you know, the next TikTok clone
Starting point is 02:48:13 and you want to do recommending of different content across a really large system, they have a pre-baked machine learning system. And these types of advancements are getting completely drown out by everything in LLMs. But just a vanilla recommender system is extremely valuable. Yeah, this type of system would have probably cost you
Starting point is 02:48:34 millions to create even five, six years ago. Chris Dixon, number one on the Midas list a few years ago, Coinbase seed or series A investor. One of his companies, Hunch, I believe is Hunch maybe, I think he sold it to PayPal or eBay and the whole product that he built was a recommender system. And so this was called collaborative filtering and it's what drives those. You may also be interested on Amazon. These are really, really critical systems for e-commerce sites, for Netflix.
Starting point is 02:49:05 How does it predict what you wanna watch next? This has then been baked into TikTok and Instagram Reels and the X algorithm. All of this is- You remember when Netflix, everyone was like, oh, that's their alpha. Like they just know how to recommend the next- No, it's commoditized.
Starting point is 02:49:20 But it's exciting that- I mean, it's commoditized now. It's exciting that it's available just via Google. And you can specifically use Sparse Core, which allows you to embed large distributed embeddings, which means when you define what makes a post on X recommendable, it's not just here's the text. Here's the text.
Starting point is 02:49:42 Here's the user. Is there video? What's in the video? What are the comments say? How long did people spend watching this video or how long did people spend reading this post? Did they share it? There's so much other data that you could think of like metadata, but all of that gets embedded into like a basically a matrix of What is this about and then yeah that can be recommended based on other things and that's why these Algorithms are getting so uncanny, you know, you watch you watch one video about I don't know McLaren F1
Starting point is 02:50:12 And then pretty soon you're seeing 25 more right and it knows that oh you're interested in McLaren F1 You might also be interested in McLaren p1 p1 GTR takes you down this different road pretty soon You're learning about Senna and watching takes you two hours a day of Doug DiMiro. Exactly, exactly. That's all built on recommender systems. And these recommender systems are not defined in a way that it needs to understand what a McLaren F1 is in a human readable form.
Starting point is 02:50:38 Any new topic can instantly be baked into the recommender system through these embeddings. So very exciting. So a little shout out to Google for delivering some great software. We love to see it. I love big tech. I love big tech. Let's go to Jeff Lewis. He says it's fair to call the US dollars decline yesterday parabolic more important than ever for investors to ask what's growing parabolically amidst macro volatility at bedrock. our answer is clear, OpenAI. We've concentrated nine figures into OpenAI
Starting point is 02:51:07 across multiple flagship funds since early 2021, and we've never been more bullish. Yesterday at TED, Sam Altman shared, 10% of the world now uses our systems a lot. I love it. It's great. Yeah, I mean, I think the number that was floating around was 500 million weekly active users, something like that.
Starting point is 02:51:26 But that's really big. But pacing to potentially get to almost double that by end of year, which is crazy. Yeah, it is funny that I think they might still be eligible for using some of the open source libraries. Like I'm pretty sure they could technically still use Llama because Llama set the threshold at like 800 million users so that the other services couldn't use it or something like that. There's all these funny like big tech wants to exclude each other but they are quickly
Starting point is 02:51:51 becoming definitionally big tech and yeah it's consumer tech company but we'll go more into chat GPT and open AI and what's going on. Willem writes chat GPT memes like roast me, create a CIA report, Ghibli filter, et cetera, feel very familiar. A throwback to Buzzfeed quizzes, Facebook personality tests, super intelligence or not, we just want to have fun and see ourselves in new ways. So I did take one of those, when they rolled out memory,
Starting point is 02:52:18 I prompted it with one of the prompts that was floating around. It was like, tell me my blind spots. Yeah, what'd it say? And I was very disappointed with the response. It just felt like super general. I did it. Astrology style answer where it could apply
Starting point is 02:52:36 to anyone basically. For me, it said, I knew my super cars really well. I knew the Holy Trinity watches really well, but I was really, really lacking on equestrian and specifically dressage history like yeah I don't know well cuz you spend who the historical winners are the studio and you'll you'll spend hours talking to tragedy just over over audio just about dressage horse yes yes so it's basically knows I'm not really up to see you're not which I think is fake it till you make it I think it's a real blind spot
Starting point is 02:53:07 I think dressage is gonna be huge. Yep We've talked about this. It's gonna be huge dressage is coming to Los Angeles. It's in the Olympics It's in the Olympics and we will be there. We will have a box. We'll have a box. It'll be half VCs half tech journalists. It's gonna be the biggest crossover event in history. You heard it here first. Let's go back to Jeff Lewis He says memory transforms chat GPT for merely an unprecedented consumer phenomenon into mission critical infrastructure for individuals Families enterprises and society at large. I agree. I think it's very cool I did see someone put this stuff in the truth zone. Well, let's go back to Will Brown He says chat GPT memory is the most disappointed I've ever been in an open AI feature
Starting point is 02:53:48 It's unbelievably simple implantation and it doesn't even work. It's crazy that they release. This is a pro feature It is significantly worse than the vanilla clod memory MCP tool. Sorry So little bit of back and forth on how good memory is. I imagine it's less important that it's amazing on day one and more important that it just keeps growing and growing and growing because obviously we've seen scale is all you need. Scale is so important to these systems. Even if it's not great today, yes, it might not know your blind spots today, but let's talk about this in a decade. Like maybe it has even more. Are you really confiding in it? It's probably a wildly different experience if you're using it as your journal every day and documenting your
Starting point is 02:54:29 entire life in there versus, you know, just using it as information retrieval, right? Yep. Will says he's pushing back his timelines. Tyler Cowen disagrees. Well, yeah, I mean, should, is infinite memory a prerequisite to AGI or is it a separate thing? Open AIs actually mapped out the step function, like the five steps in the layer to kind of their growth path. And Tane, who's been on the show, mapped it out. Level one was chat bots, real time predictive responses. This is 2023 system one thinking that chat GPT. That's GPT
Starting point is 02:55:05 for oh then you had the reasoners that's level two thinks for longer before responding system to thinking this late 2024 yet oh one oh three oh three mini chat GPT search deep research that type of stuff then agents we get to we get to the third level this is where they are now in 2025 AI that can do work for you independently that's tasks operator operator, deep research, and now this code product that they're building. Innovators, that's level four, develops innovations independently.
Starting point is 02:55:32 That's something that we have not seen from any LLM or AI system really, but we're very optimistic about it. There's been this big question, hey, you have a system that is, it has all of the knowledge in the entire world. Why can't it put two things together and just notice something?
Starting point is 02:55:46 Right, that happens all the time. Like the reason we discover like penicillin or something is just because like there's a guy who knows about all these different things and realizes that hey, these two things are correlated, let's dig in there. And no one's been able to pull an innovation out of these things.
Starting point is 02:56:02 And you even feel it with the text, the tell me a joke, the come up with an innovative business strategy. It'll just be like, oh, you should start a coffee shop because coffee shops sell coffee. It's good at stock business planning, not new ideas. And so that's where they wanna get with level four. And then level five is organizations. They want them to think strategically
Starting point is 02:56:23 and achieve organizational goals. We'll see how fast they get there. Maybe it's today. Who knows? Well, we... two more things to cover before we call it for today. OpenAI co-founder Ilya Sutskova's safe super intelligence pulled together the round at 32 billion. You'd love to see it.
Starting point is 02:56:40 Love to see it. A little size gong for Ilya. Size gong moment. And we had some other news. Larry Ellison has started following TVPN. Thank you Larry. Welcome to the show. To the show and the community. You are in many ways our technology brother but also our technology father. Yes. A true inspiration. I mean founder mode for decades, one of the greatest tech companies has played such a role in so many tech transactions.
Starting point is 02:57:10 He's in the conversation about TikTok. He was a financier behind Elon's purchase of Twitter. Now asks. Fantastic taste in hotels. He has Sensei, which is phenomenal. Malibu racket club. Many esteemed institutions. Big into sailing.
Starting point is 02:57:26 Yes. He's doing it right. Doing it right. To say the least. Today was a fun show. It was a great show. Very optimistic. I'm excited.
Starting point is 02:57:35 I just keep coming back. I'm excited to experience AGI later this week. Yeah, and I enjoyed the 30 minute segments. I thought that was a great pace. 20 minutes, 30 minutes. We just start doing the 15s They get a little bit too fast-paced choppy. I like the way we handled it today. So thank you for watching Thank you for listening leave us five stars Apple podcasts Spotify, and we will see you tomorrow folks
Starting point is 02:57:56 Look forward to it day. Have a great Monday. Bye cheers

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