Socialists Sweep NYC, China Catches Up in Coding, AI Memory Crunch, Micron's Blowout Quarter

27:53Jason Calacanis:Age-gating. Which is really about the adults, not the kids. That is the downside to it. Gavin, you wanted to add? No, I super agree. that I think that a social media ban under 16 would be great, but I think it comes at a really high cost outlined by Travis. And that's what's really going on is they want to restrict anonymous accounts on X who say things that particularly the powers that be in the EU do not like. And if there's a way to do that while preserving anonymity and free speech, I'm all for it. But I I think if it were not for free speech and X, like I think we'd be living in a very different world today that would be a lot worse.

28:37And just to riff on a few things that all of you have said, you know, on communism, it is communism. And the great tragedy of human experience is we can't learn from the experiences of others. And it may not matter that communism has failed utterly and ended in death and misery wherever it has been tried, in a variety of different cultures, with a variety of different mechanisms, and every generation may need to experiment with it. I think the saving grace and the importance of preserving free speech is that the DSA's policies, and I would say in particular super progressive democratic policies, are measurably bad.

29:21They lead to bad outcomes. If you care about black lives, there's a study that is uncontested that when you elect a Republican DA, all cause mortality for young black men in that city drops by 7%. That's all it takes. You care about the environment? Well, progressives, there's so many regulations that you can't build solar, which is really the only thing that matters. And the world is going to run on sunlight. You care about education? Their approach to education, of getting rid of these elite schools that allows low-income people to have a real chance, getting rid of math in California, it is profoundly disadvantageous to people.

30:03It leads to terrible outcomes. And we all know what happens with crime. It turns out that there's a certain percentage of people who, you know, are, I think it's like 60, over 60 % of the violence or 75 % of the violence comes from people who have like 10 or more convictions.

30:24Jason Calacanis:Yeah, I think the specifics that is like 0.1 % commits 70 % of the crimes. And if you just dealt with the 0.1%, you'd have effectively no crime. And so I just think the scary thing is, and I do worry for the first time, like as a student of history, the United States has been like a very stable political economic entity, geographically stable for a long time. And that's to its credit because we could have literally taken over the world after World War II. But man, if they get total control of some of these cities and drive out everyone who is productive, I don't know how you come back. And so that is a little worrisome to me in terms of the future of the United States.

31:11Well, and by the way, I don't think it's just New York. I mean, that race for mayor in LA, where was it Rahman somehow beat Spencer Pratt thanks to ballot harvesting after voting day? Or I should say votes that were found and counted after election day. I mean, that will be a test of the DSA because they are highly organized and they have learned how to take advantage of all these rules, these ballot harvesting rules and all these types of things. The DSA, I think they've got something like half the city council seats now in L.A. and they're growing. So especially in these low turnout elections.

31:48And look, this was a Democratic primary in New York, which is a strongly blue state. So I think maybe 17 percent turned out. So it's very low. But this is where the DSA really thrives and excels because they care passionately and they're highly organized and they know how to take advantage. This is why they want all these like rank choice voting and all these types of things. They know how to manipulate and take advantage of those kinds of systems. So I think that you're going to see this in lots of other jurisdictions, wherever they're organized. I think LA will be a really interesting test. So I don't think we can just chalk this up to Zoran's popularity.

32:24You know, this is a national movement and we're going to see in a lot of places, but there's no question that Mamdani is now kind of the spiritual leader. I mean, all of these people don't, they think AOC is a sellout, you know, or Bernie is a sellout. You know, they are way more radical than even, even those types. To add to that, Sachs, they did learn something from Trump, which has built a big tent. So you're seeing Bernie, Mandami, Ro Khanna. They're all kind of like, yeah, we're different, but there's enough room in this tent. Well, what's happening is that these sort of more established progressive leaders, they want to tap into this energy.

32:59And even the establishment wing of the Democratic Party is now bending the knee. And so what you're going to see is regardless of how many DSA candidates actually get elected, the rest of the party is now responding to this. And they're going to bend. They're going to blow in this direction because they don't want to get challenged in a primary. I mean, think about this. You had three major congressional races where the Mamdani candidate won, two of them unseated, you know, really strong incumbents. These were big upsets. So you got to think now that every congressional race in a pretty blue district, those members are now going to have to take into account that they could get primaried.

33:38And they're going to have to tilt their voting and their views and their rhetoric in this DSA direction because they don't want to have happen to them what just happened to Dan Goldman in the New York 10th District. And just to make one last point on that, so, J. Cal, you mentioned the Israel issue. And I actually think that is a hugely important and salient issue now in the Democratic Party, in Democratic primaries. Obviously, you saw that as part of the DSA platform, one of the legs is Free Palestine. this defeat of Dan Goldman, two-time congressman. He led the impeachment effort against Trump.

34:12He had all the right progressive credentials. He checked the box on all the left-wing policies. He was on the right cable news channels all the time. No one expected him to lose. He lost to Brand Lander really just over this issue of Israel. Dan Goldman is very pro-Israel. He basically defended Israel's actions over the past few years, whereas Lander, who, like Goldman, is also Jewish. So this was, again, white Jewish congressman against white Jewish longtime New York politician. So on paper, they're very similar. It was just in this issue of Israel where they disagreed. And Lander went to a mosque in order to denounce what he called the genocide in Gaza.

34:54So this was really as close as you can get to a straight up vote on that one issue in this primary, and Lander won pretty handily. Now, the reason for this is if you look at polling, 80 % of Democrats now say they disapprove of Israel. So, you know, the approval disapproval rating. Israel used to have high approval ratings pretty much across the board. I mean, it was sort of a consensus, both Democrats and Republicans. Now, 80 % of Democrats say they disapprove. You really can't underestimate how much of a motivator this is for young Democrats. They believe that - all over campuses. We see it.

35:33I mean, it draws people out. And it has been quite polarizing, just to call balls and strikes here, inside the Republican Party as well. You have Tucker leaving the party over this. You have Megyn Kelly going mental over this. And you have, you know, a lot of civil war inside this administration, according to the report. So this is - Well, let me, look, I mean, I'm not taking a side in this. I'm just trying to describe what's going on. Absolutely. Same as me. I think the Republican Party is a little bit more mixed on this issue, and it really comes down to age. So if you're part of the older, more establishment Republicans, let's say you're a Fox News viewer, you still have high approval ratings for Israel.

36:10But if you're under 50, which means you're probably not watching Fox that much anymore, you're probably onto the podcast, I think the disapproval rating for Israel is now 57%. Interesting. So it really comes down to age. Young people across the board have serious problems with what Israel is doing. And then, you know, as you get into older age groups, that's where you see a big difference between the Democrats and Republicans. And to be clear, I think Chamathia did a wonderful job of explaining this on Megyn Kelly. There's Jewish people, there's the state of Israel, there's Israelis who live in the state of Israel who are also Jewish, and then there's Bibi Netanyahu.

36:43And I think there's a lot of concern on Bibi Netanyahu is just absolutely out of control is the consensus, I think, amongst many people across many religions and

36:55Jason Calacanis:political parties. Not to re-ash this whole thing, but there are a lot of parallels from what happened in 10-7 and what happened in 9-11 in the following ways. When you invade a country and you slaughter their people, it creates an enormous injury, an enormous emotional, physical, psychological injury. And what that country typically does is respond by giving the authority to the leader at that time to set the table right. And you have to remember, there was a lot of things that happened post 9-11 that under any other circumstance would never have happened. At the top of the list would have been the Patriot Act, which in any other world would never have gotten passed and would have seen the light of day, but not for 9-11.

37:40Jason Calacanis:So there are moments where leaders are put in a position and they essentially act on behalf of their country and their people to right or wrong. I understand that. I think everybody understands that. What's happened now, though, is that people cannot logically disambiguate Jews, Israelis, and Bibi. And I think that's very unfortunate, because we're at a point in time where everything gets conflated, and this thing has become this third rail issue. And I find it absolutely shocking. it's completely reasonable for people to have a point of view on bb and say hey you know what it's enough or it's gotten too far or whatever it is and i think that there's a very reasonable claim to make that it's time to find different leadership new leadership inside of israel and have an opportunity to reset their standing on the global stage they deserve that the israeli people are incredible jews are incredible but the idea that you fold it all together and you look at one person and then you apply it to an entire country and an entire religion is insane.

38:48May I add one thing? May I add one thing? Please, Gavin. I think there's two things, really, and I'll be quick. One, Israel has a giant PR problem. They need a young, sub-35-year-old American-Israeli who's super fluent in English, conversant in social media, and is their kind of spokesperson to America. And they need that in France, in Germany, in every country. And they do not have that. There was a young, I think his name, I forget his name, but there was a young Israeli who was doing a really good job, Israeli-American, representing Israel after October 7th. And evidently, Bibi Netanyahu's wife didn't like him, so they canned him.

39:25And they've never really found a replacement. And I do think this is an urgent issue for Israel because it's like they are taking body blows every second and they're not even responding. And what I think they do, what they tend to do is they'll sometimes roll out someone who's a great man or woman in Israel and is in their 60s and a hero of a war. But isn't that fluent in social media? Maybe the command of English is technically precise, but there's an accent. And those are great people, but they're not great spokespersons. And this is an urgent issue. As far as the antidote, going back to Chamas' comment, I do think a big reason Trump got elected, many of the Democrats I know who voted for Trump, a big part of it was that during COVID, they heard what their children were being taught.

40:25for the first time. And it was radicalizing for them. And I think it's just really important that as part of the American educational system, just there not be overtly anti-American things. Listen, we've made mistakes as a country. We're not perfect. We're about as good as it gets. And we need to tell that story in every grade consistently. And we can have a debate. We've done so many things wrong. Let's learn from them. But just, you know, slavery was endemic to the world apart from some countries in East Asia. Like it's not a uniquely American problem. And we need to tell those stories because I think a lot of kids, the reason they're so susceptible to this social media propaganda is they brought up being ashamed to be American, ashamed of various things and their identity and being told that America is evil.

41:20And we need to unwind that because America is awesome. And we're the only vaguely successful multicultural society on planet Earth. Yeah, the melting pot. And if you say that, Gavin, if you say the melting pot is a beautiful thing, you're going to get canceled because, oh my God, you're getting rid of people's culture. It's like, no, no, keep your culture and then join this culture and we can all have this great smorgasbord.

41:43Jason Calacanis:Yeah. You know what my culture is? You know what my culture is? I don't know. It's no longer Laurel Piana. I know that. I know you're off the train. Winning. Winning. The culture of winning. I love it. That's it. Learning. Adventure. Do you piss excellence, to quote Ricky Bobby? Oftentimes. I piss excellence. Just to wrap up here. But oftentimes. Just to warn the dopey Democrats who have been unable to get anything done. the socialists are using your party and uh this guy went viral they're just a host like they literally want to infect the oh yeah good image uh they want to infect the democratic party and then like just literally get the voting base and this guy gustavo gordillo i don't know if you guys saw this he's a dsa co-chair in new york city and he just said it outright i was gonna read you the quote we're part of the democratic party caucus but we don't agree with the way the Democratic Party runs its apparatus.

42:42So we're trying to build our own independence by focusing on volunteer led movement. We think everyone should be able to be trained and become someone who can participate in the political process. And we don't think the Democratic Party is run that way. In terms of the agenda, there's a problem. The Democratic Party, they are funded by billionaire donors. And at the same time, they're trying to represent the working class. In our opinion, you have to choose between the billionaire class and the working class. They are just taking over the party. And again, back to the playbook. This worked really well for Trump.

43:09He took the Republican Party over and he owned them and they tried to get him out. They tried to get him out. But his message and his communication style was just too on point. He knew exactly what people wanted to hear and he knew exactly how to deliver it. He is a all time comedic performer, like of non of non comedians. He's the number one comedian in the world. And of actual comedians, he's in the top 20. So he communicates perfectly. And that's exactly what Mondami's done. He's taken the Trump playbook and he has applied it here. He is taking over with this communication. You guys know I'm a diehard Knick fan my whole life.

43:44Cried and was at game five when they won the finals. And then Mondami gave this speech that somebody wrote for him about the Knicks. And I was just absolutely flabbergasted and upset that it was so great. He's got that Obama-Trump charisma and he is going to destroy your party from the inside out. Socialism is communism and is the road to suffering and pain, as Gavin said. It's no good. We'll come out of it. Isn't it amazing? Here we go. Okay. You know, you know, ma 'am, Donnie is a communist and what he represents is basically evil. And yet, because he just gave a speech about the Knicks, you love him now.

44:20No, I love the speech. That's all it takes. And I'm like, what's in the speech? That's all it takes. We're screwed. That's all it takes. It's true though. By the way, I mean, this guy, he's a total phony. I mean, he doesn't stop smiling. He's got this like crocodile smile all the time. he's talking about you know eating you yeah and it's totally fake absolutely i mean come on he had to be able to see through it he was he was making nicks references and it was the most get out of your seat standing ovation cheer you know speech i've ever heard about the nicks and i was infuriated this guy is such a good orator you got programmed i hate him we're gonna have to deprogram you now no no no it was like getting like uh hypnotized and i just pulled myself out I got like pulled in for a second.

45:03Next topic. Next topic, for sure. Oh my God. Great, good, strong first topic. I didn't know you guys were going to go all in, so to speak. Topic two, Chinese open source models appear to be catching up with the US frontier models. Let's start with a GLM 5.2 released by ChinaZ.ai. This is a frontier class, open source free to download anywhere model. 744 billion parameters, 1 million token context window. and it's under the MIT license. If you don't know what that is, open source licenses have very specific - Super open source. It's super open source. Thank you. The most open source. The most open source of all open source.

45:42If you open it up, you can use it however you like. You can fork it. You can build your own company based on that. No regional restrictions. No API. Fully self-hostable. No Darien. It's just yours. It's just yours. Yanking your chain. It's yours. It's just yours. That's it. You just got to reference the license. That's it. Yeah. You shout out the license and you're good. Scored 51 points on the Artificial Analysis Intelligence Index. That's the highest score of any open weight model ever. Stacks up nicely next to the Frontier models. Beat GPT 5.5 on the Frontier SWE coding benchmark. That's a software one.

46:20Trails clawed Opus 4.8 by less than one percentage point. API usage cost, obviously much cheaper. 85 % cheaper, in fact, than GPT 5.5 for comparable performance. Z.ai founder told Elon Musk, open-weight Fable capabilities will be here sooner than Q1 2027. Gavin, in other words, all this hand-wringing, all of these legal restrictions, self-imposed restrictions, are now completely or close to completely moot if they're going to have a model in Q1. does this six months even matter? Does six months in the grand arc of AI matter or not? And what does this mean for frontier models? I do think how good GLM 5.2 is has challenged some of my beliefs.

47:07And there was a great post from a TPU engineer that for sure distillation has happened. There's been an immense amount of distillation, no question. Please explain to the audience what that means. This distillation is when you have, you know, a like, you know, we all have seen videos of these Chinese iPhone farms. Just picture a farm like that. Tens of thousands of phones, iPads and computers that are asking the cloud API through masked accounts, very specific questions. And then these what's called reasoning traces are being harvested because if you're on the API, you know, you get to see every token.

47:46And those reasoning traces are then fed back into the model during the reinforcement learning process and probably during the pre-training process. And that is a way that you can get really, really close to the frontier at a fraction of the cost. And this is for sure going on and has gone on for a long time. And I do think... It's a cheat sheet. It's a cheat sheet for other models to catch. It would be like asking Google every question you could ever imagine, every search imaginable, getting all the results and then putting your own search and data together to make it very simple. Exactly. But now that this model is so good, it is good enough to do its own RL.

48:28And, you know, the kind of cat may be out of the bag. Now, I don't think we really know how good Mythos is. We don't really know how good the next OpenAI model is. We haven't seen the next SpaceX model. So maybe that gap opens up again. But either way, I profoundly believe the future is composable models. And you're going to every enterprise. You're going to have what Andre Karpathy called the Council of LL. You're going to have Grok. You're going to have Anthropic. You're going to have OpenAI. Google, you're going to have at least two of those. I would argue Grok should always be one of the two because of its dedication to the truth.

49:01And it will tell you as a business owner a politically inconvenient truth that you need to know for your data. But you're also going to have your own open weights model that you RL'd on your data, and you're going to put those two together, the frontier models and your own model, and you are going to get, you know, real Pareto dominant outcomes. and half the queries are going to go to the open source model, maybe 85%. And only the hardest ones are then, maybe they all go to open source first, and only the hardest ones are then checked by the frontier models. So I think this is the future. It's coming.

49:40And a misconception that a lot of people have is that open source models are somehow bad for AI. They're awesome for the AI infrastructure providers. They just shift economic value from the margins of the frontier labs to the infrastructure. And that's not bad for AI. That's great for them. It's great for them. It's great for them. But I do think there's still a role for these frontier models. And it may be true. To date, frontier tokens are capturing 90 % of the economic value. And open source tokens are probably 80 % plus of tokens processed. And those ratios may be here to stay, but I just think composable models are the future.

50:23What does that mean, composable model? A composable model where you have, if you're a corporation, if you're... Is there a new name for your super secret startup, Travis? What's the new name? The name is called Adams. It's not super secret. It's super awesome. Super awesome. Super awesome. for your super awesome startup Adams, which, man, loads of people have been calling me to say how they've spoken to you. Yeah. Investor, your dog is hunting with investors, Travis. Fair enough. Fair enough. Okay. You're going to have a router, and every query that somebody comes in, every task that needs to be done at your company, that router is going to send it to your RL, SFT version of the other 5.2 or Demetron.

51:16Then at some point in the workflow a frontier model may or may not come in to kind of check it, add to it. And that's what I mean by a composable model when you have kind of a symphony of models working together with kind of the frontier models being maybe the conductors. But that's what I mean when I say composable. Yeah, understood. Thank you. Saks, formerly AI Czar. and now running PCAST. What are your thoughts on China's ascension in open source? And we're still looking for our open source champion, obviously, here in the US, but it feels like - No, no, no, can I just say one thing? Nvidia is the American open source champion.

51:57Thank you. They can release GLM 5.2 or better whenever they want. Okay. But why haven't they done that? They don't want to screw their customers too much of a conflict to be pushing it out there too often? All of the above. Who knows? We'll see. Okay, yeah. And you've got to be delicate there, I see. Okay, so I'll say it, not you. Jensen doesn't... I mean, it's a classic channel conflict, right? You don't want to compete with your customers. And he is competing with Elon on self-driving now, and Elon's making his own chips. So... I think these frontier model companies should think very, very carefully about ASICs.

52:36And the incentive that creates for NVIDIA. On the model perspective... Like if OpenAI, which launched their jalapeno chip this week, had announced it being built by, I believe, Broadcom, and they are saying, hey, F you to Jensen and NVIDIA, and they already were full contact with him, don't be surprised if NVIDIA says, you know what? We kind of like the area you're operating in now that you're going to make chips and maybe OpenAI sells those chips to other people. Don't be surprised if NVIDIA starts an OpenAI competitor. You heard it here first on All In. And Sachs, did you want to jump in there?

53:12Sure. I mean, look, I think that China's been good at open source for a while here. There's nothing new about that. But there are a few things that are significant about GLM 5.2. So the first one is it is now, like you said, the best open weight model for coding, software engineering, and long context agent work. And you gave a couple of the SWE bench scores. I mean, it was just a tick below Opus 4.8, and it was right up there with GPT 5.5. So if you compare this to, again, the state-of-the-art, the frontier models from Anthropic and OpenAI, it is right there with the previous model. But you have to remember now that the current model, Fable for Anthropic and 5.6 for OpenAI is now in a little bit of a purgatory because of all the reasons we covered last week.

54:08Now, look, like I said last week, I ultimately blame Dario and the way he communicated and the way that he primed officials to be on a hair trigger with respect to these models. And when the government got a credible report about a jailbreak from one of Anthropik's own most trusted partners, you're going to say, roll that back. But that is the situation we're in right now, is that Fable has been rolled back and GPT 5.6 is trying to navigate these new approval hoops. So we now have a Chinese open-weight model that is as good as the currently available models from OpenAI and Anthropik. And look, this is a point I've been making really since I joined the administration is that we are in a very competitive situation with China.

54:58I've been saying this from the beginning. Our whole AI strategy from the get-go was about winning this AI race, defining it as a race, as being globally competitive. And we cannot afford to do things unnecessarily that slow our companies down. I hope that by the...

55:44a federal regulator, basically a new agency. In fact, Dario posted a blog just a few weeks ago saying he wants an FAA for AI. They wanted government approval, a government approval process for AI models. And so in a sense, they've gotten exactly what they wanted. Now, that being said, I don't think they're happy about the fact that Fable has been rolled back. So in a sense, you could say that Dario got hoisted on his own petard here, or it could be a FAFO situation. But look, my view on it is we should not reward Dario by giving him exactly what he's always craved, which is some sort of labyrinthine government approval process that does reward regulatory capture.

56:27So I hope that very soon now, I do think that as long as Anthropic has resolved the jailbreak issue, then I do think they should be allowed to come back to market. And similarly for open AI, I don't think we should be delaying them unnecessarily. We do not have months to give away in this race. And let me just say one other thing, which again, it's something I've been saying for months, which is with respect to risks like cyber, it is undoubtedly a risk. But what is the response to that? The only thing you can do is go out and find all the vulnerabilities first yourself, the white hats. Have the white hats find the vulnerabilities and do a big upgrade cycle, roll out the patches before they can be exploited.

57:12The reality is that if you just clamp down in a way that doesn't even allow these models to be used, the Chinese are going to have these capabilities imminently anyway. They're already at Opus 4.8 level. And the founder of Z.ai, he said that before Q1, they'll have Fable level capability, I believe them. Because look, the Chinese have been, I'd say, nine months behind our models, plus or minus three months, depending on capability. But it's when they know there's been a breakthrough around something like cyber, they can deploy more resources against that particular problem and catch up faster.

57:50So like I said, we're on a shot clock here. I've been saying for months that we're on a shot clock. We have to do smart things. We can't just slow everything down because that will not slow down the Chinese. They're not under our jurisdiction. We have to basically get these tools in the hands of our cybersecurity industry. They're the force multiplier. They're the enabler. We have to basically go out and do this big upgrade cycle quickly because we only have a few months left.

58:16Jason Calacanis:They're six months behind on the model and they're 24 months behind on the silicon, yet they're only a few months behind in total. So what game are we playing? This is insane. We are going to lose if we keep doing this stuff to ourselves. So let me make a point about that. So on the silicon, there's been a huge push in China by the government to push their AI labs to develop and train on Huawei chips. And look, you can take these claims with a grain of salt. Maybe they're not true, but it was claimed that DeepSeek v4 was trained on Huawei chips. And now Z.ai, they are saying that the GLM-5 family was trained entirely on clusters of Huawei Ascend 910B chips.

58:58So now look, maybe they're lying. Maybe they smuggled in some NVIDIA chips. But the claim is that this was all done on indigenous chips. And what I believe is that China is engaged in a strong indigenization push right now. They want to prop up Huawei as the national champion. in. They want all their companies using Huawei chips. They still need to scale some of the manufacturing, but they're going to do that pretty quickly. And then what they're going to do is they're going to take these Huawei chips. They're going to take these Huawei optimized models. Remember that GLM 5.2, the inference is optimized for the Huawei chips.

59:39Okay. We know that. And they are basically going to package these things up. They call it AI in a box. They're going to sell it at a fraction of the cost globally. Which is what they do with every technology, right? Better, cheaper, faster, or almost as good. And that's another thing is I've been saying since the beginning of this administration, we have to be pro export because China is going to be there within one or two years. I said, we're going to be kicking ourselves because we could have had the whole global market to ourselves. We invented reasons not to sell abroad to our friends and partners.

1:00:09And now China is going to be there imminently. Yeah. And with that lower price tag, when you play with this new GL, you get some really interesting responses. I asked it about the country of Taiwan, was not pleased and didn't give me an answer. I asked it about Tiananmen Square, no answer as well. I'm using the hosted version at z.ai. But when I asked it places to visit in Paris, it did an exceptional job, except when I said make these ideas into an infographic and make me like a three-day agenda, it was like, hey, we don't have enough time to do that. And it said, use the other model because this model is too busy.

1:00:46But you can go play with it at z.ai. Just on a point about the censorship. So there's no question that these Chinese models have, you could say, censorship and, you know, there's political bias and they're out of the box. But American companies have taken Chinese models and then essentially worked around and basically fixed the censorship inside their own forked version. So, for example, Perplexity did this very early on with Chinese models. They showed that you could sort of put back the content on Tiananmen Square and things like that. So I think, J. Cal, you're absolutely right about the censorship, but it's not a fatal problem.

1:01:24It's something that American companies can fix when they take an open source model and fork it and customize it. Yeah. In the hosted version, you're not going to get a great answer of what agenda you should use for tourism in the great country of Taiwan or your visit to Tiananmen Square. All right. Let's keep moving here on the dock at Micron. Smash their earnings. If you don't know Micron, they are one of only three companies on Earth that make high bandwidth memory. These are specialized chips. They sit on top of the NVIDIA GPU. And their entire 2026 supply is sold out and has been for some time.

1:02:02SK Hynix and Samsung also make HBM. Micron smashed earnings, revenue up 4x, 4x year over year, 9 billion to 42 billion, beat expectations by 16%. Big jump in guidance for Q4, 50 billion versus 43 billion. Their stock is up 10x. Shout out to gavin in our 2025 prediction show he gave uh a call on hbm makers like micron as the best performing asset since that time micron up 14x i'm not crying in my suit you're not crying in your suit i got a ton of information here i think this i'll just end on the apple price increases everybody knows apple has been really uh been a beneficiary of the run local models movement that I'm part of and people are buying 128 gig, 256 gig MacBook Pros, Mac Studios, but...

1:02:56The gig is up, apparently, because now Apple, which had not passed on those costs to customers, is having to pass those increases on. So everything from the new MacBook Neo, which is their$699 laptop, kind of competing with Chromebooks, is now$799, up 14%. And Mac Studio up 25%. The costs are just going to be very significant. inflation has come to the desktop. If you have thoughts, Gavin, on Micron and the impact on the industry, and is this a temporary bottleneck or does this mean everybody has to get into this business quickly? No, well, one, DRAM is the most important bottleneck. There's a whole segment of people on X who are very focused on bottleneck.

1:03:42Bottlenecks, I call them the bottleneck bros. You know, they'll do some work with Claude, find some esoteric Japanese company. The bottleneck that matters is DRAM. And DRAM and HBM DRAM, this is the most important bottleneck, simply because memory capacity and bandwidth are foundational to the performance of every AI model. So this is the most important bottleneck. Elon is focusing the TerraFab on memory because he sees it as the most important bottleneck. You know, not lasers, not capacitors, not power supply semiconductors, not NAND flash, not HDDs, DRAM. And I think this bottleneck is going to be with us for a while.

1:04:21And it is kind of astonishing. So I think, so a few thoughts, like what was important about the quarter? They announced that they have these SEAs, these supply chain agreements that have a floor and a ceiling for prices with increasingly large group of large customers. And this covers essentially 50 % of their revenue, I think with just four customers. And the floor pricing in these new contracts is ahead of prior cycle peaks from a gross margin perspective. And so this is really, I think, maybe end up being very transformational for the industry. Most other parts of the semiconductor supply chain have re-rated.

1:05:06You know, Lamb Research, you know, the wafer fab equipment suppliers, they all trade at huge premiums to DRAM relative to prior cycles. and their business models have improved. But, you know, so has the industry structure and business models of DRAM because HBM DRAM is increasingly a customized chip. But as far as other people being able to do this, look, CXMT is going public in China. They are going to, they may be the cure for Apple's ales. They will flood the market with, to some degree, cheap consumer grade DRAM. But for the DRAM you need in these AI servers, there are three companies that can make it.

1:05:47It's really hard to do. This is as close to magic as science can get. And, you know, I think TeraFab, you know, is going to be an important part of this solution. But, you know, these stocks still trade are cross-sectionally cheap relative to the rest of AI. Something I've been thinking about, memory is DRAM is probably going to be 30 to 40 % of all hyperscaler CapEx next year. hundreds of billions of dollars that are spent going straight to DRAM. It's wild. But this may actually be very valuable for society because it is probably going to inflate the costs of building a gigawatt data center to the point where even for the hyperscalers, economics matter, who are caught in this prisoner's dilemma.

1:06:39And this may give us as a society time to adapt, to adapt what our friend Brad Gershner calls the social contract. So the high iPhone prices, one, CXMT is coming for consumer grade DRAM. But two, this may be good for AI. It may be good for us as a society. And making it is just really pure silicon, right? Like making memory is just this incredibly refined silicon. And that might be the pre-bottleneck? Yeah, making the HBM DRAM, making what NVIDIA calls SOCAM, making LPDDR. These are the types of DRAM that are really hard to make, not consumer-grade DRAM. And they are increasingly what you need in these AI data centers.

1:07:26Yeah. Semiconductor-grade, yeah. Yeah, so my understanding of HBM stands for high-bandwidth memory. Again, this is part of the GPUs that go in the data center to run AI. is that you take the DRAM wafer or die and you actually stack them. And so I think HBM3 is like eight, it's stacked eight dies high, but now they're increasing to 12 and even 16. And to basically stack them and then package them all together, that's an advanced technology in and of itself. So you're seeing now, like Gavin's saying, there's only three companies that can do it, but also this is creating significant price pressure for all the consumer electronics businesses.

1:08:09Apple had huge news today where they announced massive price increases. And again, it's because DRAM now is less available because it's just being hoovered up by all the data centers. And if you're a data center and you need to buy GPUs, again, those chips, they're using immense amounts of DRAM because again, one HBM chip is using multiple like stacks of DRAM. So it's just getting slurped up And then it takes a couple of years to ramp up new capacity. So these companies are going to do that, but that could take a while. We saw that in New York, remember, that was that Micron plant that was, had just broken ground and then got shut down the same day because of some crazy environmental issue.

1:08:50So it's not easy to ramp the stuff in the U.S., although Micron is the one provider that's in the U.S. SK Hynix is in South Korea. Samsung's in South Korea, too. But anyway, we're going to see, again, more of this AI-flation, they're calling it. You know, it's just another reason I hate AI is it is in this narrow area of consumer electronics where there's competition for DRAM. It is leading to price inflation now. Microsoft raised the price of the Xbox. You know, it's coming for the Switch. It's coming for the PlayStation. You know, there's demand destruction because the price is in consumer, whereas AI demand is relatively price insensitive.

1:09:27David, I would modify one statement. It's hard to build a micron. It's hard to build a new fab in a deep blue state. You can build fabs. Why were they trying in New York? It's kind of crazy. You know, New York gave them all these incentives, but none of those incentives matter. It's a little bit like solar power. You can be as pro-environmental as you want, but if you can't build and install solar because of regulations, it doesn't matter. So, you know, maybe that micron plant ends up getting, you know, built in my home state of Texas. The incentive game has kind of flip-flopped. It's like it used to be the states were courting the factories and the fabs.

1:10:03Now it's the fabs are like, which state can actually build this? We'll pay you whatever you want. Just tell us where to send the envelope. We'll drop a couple of envelopes off. It's not a problem. Gavin, can you say how long it's going to take to stand up the fab at TerraFab? Well, I mean, if it was a normal fab, it would be a two, three, three and a half year process. but you know we we we've seen what elon has done to other construction processes and you know he's starting with some some advantages with the intel partnership so i don't think anyone knows but based on past history he's probably going to stand up terra fab faster than other fabs have stood up but what this is really hard it's really hard it's the intersection of magic and science You can't believe how complicated this is.

1:10:57So it's going to be hard. But, you know, he has a track record of doing, you know, what Jensen called impossible superhuman. And so we'll see. We'll see how long it takes. You know, one other point here that I guess might be relevant to SpaceX AI, although you don't have to limit it to this, is I think there's an assumption that over time it would get cheaper and easier to stand up new data centers, right? But what you're saying is actually it might be getting harder. It might be getting more expensive, right? Because there's competition for these components. The memory is getting more expensive.

1:11:32I'm not sure that the GPUs are getting any cheaper. I guess some of these…

1:11:36Jason Calacanis:The transformers, the switchgear. And the energy might be getting cheaper. And then the entitlements are getting harder. And the political situation is getting harder. There's very few places you can even stand up new data centers. So is it the case that actually it's going to get more and more expensive to? 100%. So to stand up a one gigawatt data center, it's$35 billion in semiconductors, NVIDIA semiconductors. And it's$25 billion of power and cooling equipment. And that is clearly inflationary because a lot of that$25 billion is the human labor are required to install it. So the calculation that needs to be done for orbital compute is it's 35 billion of silicon in each space and, you know, in literally outer space and orbit and on ground.

1:12:18But if you can get the cost of launch significantly below that$25 billion, then the math starts to really math. And when Starship is reusable, it's going to cost$5 billion to put a gigawatt of compute into space. And something that drives me crazy is people picture these Pentagon-sized data centers. No, it's racks in space linked with lasers. It's kind of a virtual data center in space. Wait,$5 billion? Is that$5 billion of launch costs? $5 billion of launch costs. Now you're$40 billion to put the gig into space. You're $60 billion terrestrially. And the$25 billion that is power and compute is clearly inflationary.

1:12:56And so it may be that in three or four years, it's$70 billion versus$40 billion. And that five, as Starship becomes rapidly reusable, is likely deflationary. So this is the economics that underpin orbital compute from first principles. And then on an ongoing basis, you're maybe paying a billion dollars a year for the power to run those chips and cool them.

1:13:22Jason Calacanis:If I had to make a guess, I think what's going to happen is that since 2021, about 40 % of all data centers get contested, right? I think that number is going to go up. So Saks, I suspect that whatever forecasted energy consumption that we are looking at in AI is grossly imbalanced. There is very, very meager supply, and there's effectively infinite demand. So that probably pulls forward the economic equation to want to go to space. But then again, that's going to prefer SpaceX and their compute stack and their compute decisions over the hyperscalers and over anybody else. And so you're going to have a cost of an output token, I think, terrestrially, particularly from the hyperscalers, be a little economically lopsided versus SpaceX once they get it to scale.

1:14:14Jason Calacanis:Now, that's the key statement. whatever's left on the ground though will be incredibly incredibly valuable it'll be a diamond these are diamonds and the thing is you have to find reasonable size right you can't have a 10 kilowatt diamond that's like a little pebble of nobody cares but if you're in the reasonable hundreds of megawatts to gigawatts man those are like hope diamonds those are just lock them down which i own uh travis uh there was a uh interesting trademark filed this week so more in the investigator uh investor uh investigator uh of the tesla plus spacex marriage that everyone seems to believe is going to happen uh shortly you can you can you can say that you can give me credit for it of course yes uh as chamath has architected in his uh it is high perch uh but this trademark way how cool would that be how cool would it be for those two it's gonna happen it's gonna happen be amazing uh it'll be incredible and uh if you're lucky enough to be an owner of both oh everybody's the bottom everybody can decide to be an owner jason jason i'll be i'll be making love to myself when this happens there'll be no so no different than any other thursday so just another day on the top and the bottom maybe the top and the bottom just like any other saturday night here's the trademark for megapod that came out this is a filing date of 6 18 2026 so a very recent june 18th modular data center hardware for artificial intelligence computing comprised of network of computer servers computer hardware for artificial intelligence processing computer network hardware electric power distribution units and cooling system sold as a unit self-contained modular computing hardware systems for artificial intelligent workloads yada yada yada essentially well just to explain what this is well you know let me just let me just by the way that description makes i don't know what i still don't know essentially what people are saying is this is going to be a giant battery pack with gpus at the supercharger stations which have already been approved that's the back channel chamath go ahead you have a couple of issues right now to turn on compute terrestrially.

1:16:30Jason Calacanis:So assume you have land, that's relatively straightforward. Assuming you can get it zoned, less straightforward. Assuming you can get power, very difficult. Then you have a very critical design decision. So all of these folks publish these things called the basis of design. And your BODs essentially tell you, here's the anthropic spec, here's the open AI spec, here's the core weave spec, here's the AWS spec, here's GCP, and you get these 50 and upwards of 500 page documents of all these technical details. The issue that we have is, I don't know if you guys have used OpenAI or Anthropoc recently, where you get the whole thing of like, come back later, right?

1:17:06Jason Calacanis:That come back later is completely unacceptable. It just means that they have no compute. So in trying to find search pricing is coming. So in trying to find this solution, what is happening is these basis of design, the restrictions, the specificity is being relaxed. And one of the key constraints is we've moved to an architectural model from Google and NVIDIA that has said, look, we have to liquid cool these racks. These are very complicated, big girth supercomputer racks, essentially. And now we're also going back and saying, you know what, maybe some of these older stuff that's a little bit less proficient and a little bit less useful, but we can air cool them is useful.

1:17:49Jason Calacanis:And everybody's like, yeah, you know what, we should try to use everything that's available. In that second class, what some very smart people are doing are like, wow, well, here's a shipping container that you can just drop on a concrete pad somewhere, plug in the power and let it rip. And so Jason, what you're seeing is that level of investment that's happening. So there are companies, you know, like Dell makes these racks, companies like Verti makes these modules. And I think if Tesla can make them available, folks like us for my data center project, we would be enormous buyers of these things because we would just literally prefab them in a warehouse, right?

1:18:27Jason Calacanis:Get the chips, prefab them, truck them to the place, crane them in, turn it on, off to the races you go, you have like a 90 day build cycle, which is unheard of. So that's where these Megapods are coming from. I hope it's not entirely consumed by Tesla and SpaceX internally. Well, that's the rumor is that he's going to put them at the supercharging network where he has a lot of land and he's got power there already. And those are lightly used in some cases, you know. There are other requirements. The problem with some of these things is that you need to have certain levels of access. There are certain InfoSec requirements.

1:19:02Jason Calacanis:There are certain liquid cooling requirements that make many of the workload applications unfeasible at a place like a supercharger center where random bumble f***s are like traipsing around security guard put an optimist so guys i've got i've got 500 properties with lots of energy lots of mechanical cooling systems and lots of uh lng access or sorry not lng natural gas sorry already piped in so on all the stuff i'm doing on robotics ai physical ai we're literally looking at putting some of our compute into our kitchens. Compute kitchens! You're going to be able to buy small, modular, let's put data center in a quote.

1:19:51It doesn't matter. I just go buy the GPUs and I'll just set it up in a kitchen. It's like Bitcoin mining.

1:20:00Jason Calacanis:Hold on, it's not that easy. Hold on, hold on. It's not that f***ing easy. If you guys want to build a cloud and contribute it to a pool, you're going to have to sign up for liquidated damages and you're not going to sign up to these slas i'm not a hyperscaler i'm just using it for myself yeah rack and stack oh okay sure you can use it for yourself i'm saying yeah the more interesting opportunity is when whatever travis says let's talk about the interesting stuff no no i'm just saying like well what i thought you were going with this travis is like you could build a synthetic pool and contribute it to a neoscaler and all i'm saying is to do that is a leap of things that you'd have to do that you probably don't want to do because it veers you away from what you're good at?

1:20:40I think the security thing is the main issue around non-data center type real estate, to be honest. It's the big one. Look, you got to do liquid cooling. You got to do mechanical systems for air cooling. You have energy. There's a lot of things you got to do. But assuming you even had all that, the architecture of a data center is set up like they have man traps, where you go into a room, the door closes behind you that you got into with your fingerprint. Then you go into the next part of it against your fingerprint only when that door closes. Well, just out of genuine curiosity, how much does one of those man traps cost?

1:21:16Why can't you put some of those in your... Maybe you could. Are you interested in putting in a man trap? I'm just trying to help trap some men. I'll try to interpret where Chimot's going a little bit. It's like a megapod that's sitting at a chart, like a public charging situation, because of the physical access of it, like there's probably some stuff you've got to do if you're going to resell it. But if you're going to use it for yourself, you can use it for yourself.

1:21:40Jason Calacanis:The real value, I think, in the Travis example, which I find super exciting is, if you can contribute it to a distributed training pool or a distributed inference pool that has a lower SLA, which is more of how this community based oriented work, Jason, I think you've talked about BitTensor. I think Venice is a project. I think Pluralis is another project. Travis, that's where I think it's super exciting. But the one thing I'll just throw out there, guys, the distributed training stuff. If these things are far away from each other, meaning not right next to each other, they're so less efficient.

1:22:15The efficiency drops dramatically. You want these things to be right next to each other physically. you get like multiple orders of bank at least an order of magnitude type efficiency maybe plus plus plus i'd like it's a big deal yeah so like you could have two we have two of our facilities from one gpu to the other is super important and if it's on a peer-to-peer network it's going to have lag it's going to take more time even if it's on your own fiber connected like two kilometers away, you're screwed. It's not a thing. This is 100 % true. But everything that cuts against training works for inference.

1:22:54Respect. Latency is super important. And I do think distributed inference clouds are coming. Yes, I get that. That's fair. And to riff on what Tomas said in all of this, one, there is actually a startup that is trying to put four GPU units with kind of a battery on people's houses and give them a discount on their power. And then you can do inference for that neighborhood from those four GPUs and it's like lock sealed so nobody can get in. But there's another dynamic that I think we should talk about with all of this and can play into the megapods and other people are kind of working on data centers.

1:23:37you know, Crusoe is working on, you know, modularly assembling data centers, you know, kind of like a data center and think of it as like an 18-wheeler. What do you call those things? The 18-wheeler, you know, shipping container, whatever it is. But that is the disaggregation of inference into pre-fill and decode. When a model is answering your question, it's doing two things. The pre-fill part is understanding the question and it's answer thus far. And think of that as the more you can remember, the bigger your memory capacity, literally the more words you can remember, the better. Decode is the process of generating the next token.

1:24:15And that is a memory bandwidth bound problem. And think of it as the faster you can speak, the better. And these two types of inference are increasingly being disaggregated. And Chamath was an investor in Grok, which NVIDIA bought, and they're going to use this. Cerebrus is the other solution today that is available. And you can put Grok or Cerebrus, decode optimized chips. They would both say you can do more than decode on them, and that's true, in front of old NVIDIA GPUs like H100s. So you can lift H100s, A100s out of some old data center, put them in one of these megapods, a rack in a shipping container, put a Grok or a Cerebrus in front of it, and you can get a very competitive solution.

1:25:05And so I do think the disaggregation of inference, we're going to be using GPUs for seven years, 10 years, 12 years, and that's great because it lowers the cost to finance them, which makes this AI revolution more financeable. Jamath, you want to riff on Grok? I really agree with everything.

1:25:22Jason Calacanis:You're incredibly well steeped in the space. It's so exciting. I don't have any investments or anything in the distributed compute space, but at the intersection of competing against China, having a vibrant American open source community, having a bunch of distributed models for purposes of free speech and otherwise that Travis mentioned earlier. I do think this idea of distributed inference has a real place in the American ecosystem. I don't exactly know where and how and how homeowners would get paid, but whoever figures that out as a pan-American idea, I think is really on to something. be awesome and yes travis obviously slower but people are contributing compute to this that's like kind of surplus computer or compute that's available recycling unused compute recycling unused compute and then there's targon which is just straight up people are putting and you can rent h200s by the hour for three bucks four bucks and it's permissionless anybody can contribute provided and this is kind of the magic of bit tensor is there are validators that make sure you're putting in what you're say you're putting into the network.

1:26:26And so if somebody just had the hardware and Tesla said, from now on, every Powerwall, and I don't put it past him to do this, you buy a Powerwall, we give you a discount on it. Every Powerwall has our GPUs in it. Part of the offering is you can't buy a Powerwall without putting GPUs in it. And when you're not using it, we will pay you for your battery. And you put a Starlink on your roof, And now you've got a distributed system where you get a couple of these powerwalls with their own silicon in it and a Starlink. And now Elon's created an infinite number of home battery backup systems. People get their battery system for free.

1:27:06He gets the exclusive use for 20 years.

1:27:09Jason Calacanis:You guys see that there's a rumor that Elon's going to buy T-Mobile? by the way we should just because cerebris has blown up and gone through deal price we should talk about cerebris a little so uh cerebris had an incredible ipo give us an update on where these ipos are happening obviously spacex had an incredible ipo but has retreated from this you know otherworldly 200 share price so to the extent you can talk about these two as well as the two ipos to come four trillion dollars in backlog we've obviously got open ai and Claude, I'm sorry, Anthropic, which makes Claude, both of those would be worth a billy plus, you put all this together,$4 trillion of new offerings, plus Cerebris in there in the mix.

1:27:48How does the market manage this much new inventory being put on the market? Obviously, the flow to SpaceX is notably small. But over time, people like yourselves and other insiders, founders fund, etc, will be unlocked and have the ability to distribute to their LPs. So this is going to be a moving target, I think, on terms of share price? And can the market absorb this? Where does the money come from? Retail? Or does it come from people selling their Bitcoin and moving it over to something more exciting? What's the dynamic here in the market? I know we're in uncharted territory, Gavin. Well, for sure.

1:28:22There's no precedent for any of this. But a few things I would say, like just in no particular order. I think Anthropic is worth$3 trillion today. And it's very important. I'm sorry, did you say Anthropic is worth$3 trillion? dollars yeah i think that is roughly where it would probably trade as a public company and wow yeah i mean look they're gonna do they're gonna end this year oh man they're gonna end this year well over 100 billion holy shit what's the 28 number is it 200 is it 300 billion is probably not going to trade it 10 times that number. And it will be very profitable at that scale because it'll be inference dominated and people reporting they have 85 % gross margins on inference.

1:29:08But in terms of the market absorbing this, like the market's already absorbed it. You know, it's just shifting from private to public. And so in the scale of global capital markets, these seem like really big numbers. You're just moving from the private markets to the public markets, which are even bigger. As far as SpaceX specifically, I think one of the more important things is everybody who's a SpaceX investor or employee has had a chance to sell every six months for the last 10 years. So they may not be the wall of liquidity that some people are thinking about. I read this New York hedge fund short report that you could just short SpaceX on the lockup because so many people are going to sell.

1:29:48Really? Well, everybody who's on the cap table, they had an opportunity to sell. And almost half the employees at SpaceX bought on the IPO. Now, I do think Cerebris... But, Gavin, one thing, though, I got to say. So I've had SpaceX since 2018. What, what? But their little liquidity thing every year, like last year, it was like$350 billion last year. So you got an 8x in one year, you could have a lot of people selling, right? They were doing little 20 % up, 30 % up clips for many years. And then an 8xer could create that liquidity. Maybe, but we'll see. That's possible. But the employees are buying at the new price.

1:30:36And they're probably, at some level, one of the biggest pools of ownership that's going to unlock. And then, you know, I do think a lot of people probably own SpaceX through SPVs, and those probably don't unlock or get distributed anytime soon. So I just, you know, I would be careful with assuming I don't think Elon's a seller. No, he's definitely not, obviously. Yeah. And a lot of us and a lot of us aren't sellers. You know, and that's great. Yeah. Yeah. I mean, a lot of people who had large SpaceX positions were large buyers on the IPO. On Cerebris, so Cerebris has had a tough two days since they reported their first quarter as a public company.

1:31:20And I think there are two things that are worth discussing here. One is there is a whole generation of portfolio managers. There's a lot of people who are advocating for kind of squeezing the blood out of the stone on IPO prices. And the flip side of that is that there are a lot of portfolio managers who, if a stock breaks deal price, they sell it no matter what. They consider it a promise that was broken. And so this is what has happened with Cerebris to some degree over the last two days. And this may seem irrational, but there are people who run giant funds who I know personally where if a stock breaks deal price, they sell no matter what.

1:32:07And so if a stock breaks deal price, it can sometimes go to places you wouldn't think it would go. And this means that shorts, if a stock gets close to deal price, they short it because they want to break deal price. And then they make a quick 10 or 20%. So it becomes a pile on. Because you have this price insensitive selling that can be triggered. And this is what has happened to Cerebus. You know, people talk about hate selling, but they broke deal price. And so just if you're going public and you're listening to this, tell your bankers, price this in such a way that we're not going to break deal price in our first nine months as a public company.

1:32:44And that's what I always advise everyone to do. And I think it's important. But I also think, you know, it takes companies a while to learn how to tell their story and communicate to public markets. It's a very different audience than VCs. And the way I would have respectfully told the Cerebris story, because what happened to Cerebris is they reported a quarter and they're growing fast, but relative to the rest of AI, they're not growing that fast in the March quarter. So what I would have said is we signed this transformational, you know,$20,$25 billion, I don't know the exact number, contract with OpenAI in December.

1:33:27December of 2025. We immediately ordered more wafers from Taiwan Semi. It takes four months from when we make that order. Taiwan Semi says, yes, they start producing. It takes four months to make the chip. Then it takes us two months, plus or minus, to turn that chip into a server. And then if we're lucky and we can find the power, It takes us a month to energize that chip and start making tokens with it. So the first time you're going to see the impact of this OpenAI deal at the earliest is probably around Labor Day. So you'll see a little bit of it in the third quarter. But then it really starts to build.

1:34:12And just like really simple math. So like let's just use some rough numbers. Let's say let's take some NVIDIA numbers. It takes them$35 billion to bring on a gigawatt and$15 billion that you can generate$15 billion in token revenue and cloud revenue out of that gigawatt. And somebody on the call talked about adding 50 megawatts a month. If they could add 50 megawatts a month in 2027, forget 26, that means they exit the year at roughly a$9 billion cloud computing run rate. And we're at less than$40 billion of market cap. Now, that is going to be really hard to do. And they've never done anything like that before.

1:34:56But I would focus, like as an investor, I think what matters here is not where they sit competitively, not what new demand they can bring on, but just how quickly can they bring on power. And listen, outside of the hyperscalers, the only companies that have ever brought on more than a gigawatt, I think, are CoreWeave, Crusoe, and SpaceX AI. So bringing on 600 megawatts, it's really hard. And that is what I'm focused on as an investor. How many megawatts can they bring on? Because we know what they're going to monetize at, and that is the question, and we'll see. Yeah. I think that's well said.

1:35:38Yeah. The other companies that have had this happen of late, I guess Rivian and famously Chamath Facebook traded below IPO price in the first year, I think. And so this isn't necessarily mean a bad company. It just means a lot of hype or maybe going for it in the IPO and pricing it to perfection. And it can go one of two ways. You can either grossly underprice, grossly overprice. And it's really hard to get right. And this is why doing auctions or, you know. Auctions are the way. Auctions are the way. And so it's not hard to price if you just do it the way it's supposed to be done. It's hard to price when you want it to be a certain number.

1:36:19Jason Calacanis:Yeah. And you have many mouths to feed and that influences the price. I don't think that happened here. I think there was a good faith effort to price this thoughtfully. But just, you know, it was such an in-demand IPO. I think it was a hard IPO to price. All right, let's add Don. Gavin, you just auction it. I think that's different than underwriting it. You're underwriting. But the bankers, I think they just need to get more in the mode of just doing the auction. Yeah. Final topic was this$3 trillion. Or actually, now it's your$3 trillion call on Anthropic would make it like$6 trillion in offerings.

1:37:02What do we think broadly in the market? It's not in offerings because they're going to offer a small slice of that. Sure. And that small slice is very easy to absorb in the context. I believe. We have no precedent. We'll see. I might be wrong. But it's not hard for global capital markets to absorb$50 billion of an offering. It's not like somebody has to come up. Yeah, it's a 5 % float is$150 billion. There's enough. Guys, remember when$15 billion used to be a whole lot of money? Yeah. How weird is what's going on? How weird is this? It's crazy. Where is all this money coming? Oh, yeah. Where was it all this time?

1:37:40Can we just reminisce, man? We got my, when I was at Fidelity, my colleagues and I, we got pilloried. I think we priced Uber at$14 billion. And we got pilloried in the press for not knowing what we were doing. And it was seen as, you know, then of course, like six months later, I think you guys did around at what, like$42 billion or something. but it's like, yeah, 14 billion. That was groundbreaking for a private company back then. Yeah, for sure. It was 17, but nobody's counting. 17. No, you're right. I wanted 14 and we had like a big negotiation. And we ran an auction. No, we just ran an auction.

1:38:18Yeah. You wanted 20 and maybe we landed at 17. What we did was every person who want to be involved had to fill out a sheet of how much money they put it at 10, 11, 12, 13, all the way up to 20. And then we just did the Dutch auction. We said, we want to clear one and a half bill. We just did the auction and cleared it. Went back to people and said, hey, you're not going to get it. You have another shot. They update their Excel sheet and it just moves the number up a little bit. And then you close it down. But yeah, it started, that round started at, I think it was nine or 10 or something like that and ended up at 17.

1:39:01Thank you for your service. Yes, it used to be, it used to be that that was a lot of money and that was unheard of at the time. And that was, well, look, it was 10 years ago when we used to walk to school uphill both ways. We used to have to, yeah, we used to eat potatoes with no butter, just hot potatoes. Sometimes we were lucky that they were cooked. I love that. Sometimes they were wrong. No, my dad would tell me that story. It's a famous John the Beard story. He'd say his mom would put like four potatoes in the oven. They'd wrap them in tinfoil, one in each pocket because they couldn't afford gloves.

1:39:34So you put your hands in your pocket with the hot potatoes. You get to school, you eat one for breakfast, one for lunch. I mean, his sister, Johanna, God rest her soul, my aunt who died too young. And they would just go eat these potatoes. That was their life, walking to school. Yeah. And our kids are trying to... Uphill both ways. Yeah, they're trying to get the new iPhone 16 or 17. I don't know. Remember when it used to be hard to raise$5 billion? Oh, Lord. It's just crazy. Remember when it was hard to raise$1.5 million? Dude, I remember... Yeah, I remember when it was hard to raise... Anyways, we don't have to do this.

1:40:09It's okay. We already sound like grandpas. It's fine. We do sound like Unc. Let's move on. It was so hard to raise that first$1.5 million. Dude, it's just we don't need to go there. It's so funny, though. what's with this art piece Gavin behind you is that like an art piece or you made it yeah no this is I'm staying at a rented house in Atherton oh okay there you go it's just a Arabian art all right everybody for the dictator and for David Sachs TK GB we'll see you next time on the all in podcast bye bye great job everybody We'll let your winners ride Rain Man David Sack I'm going all in And it said we open source it to the fans And they've just gone crazy with it Love you besties I'm the queen of kinwad I'm going all in Let your winners ride I'm going all in Besties are gone That's my dog taking a notice in your driveway sex Oh man Oh, man.

1:41:13My abattasher will meet me at what it's like.

1:41:14Jason Calacanis:We should all just get a room and just have one big huge orgy, because they're all just useless. It's like this, like, sexual tension, but they just need to release somehow. Wet your feet. Wet your feet. We need to get merch. I'm going all in.

1:41:37I'm going all in. Thank you.