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

All right, everybody. Welcome back. Welcome back to the number one podcast. in the world, the All-In podcast, episode 278. And uh Freeberg, he took a mental health. day today after the socialist sweep in. New York City. So, we invited two. guests. They both said yes. Travis. Kalanic is here from Adams. How you. doing, brother? >> I'm good. I'm good. Good to see you. >> Good to see you. Good to see you. And. after a triumphant week at Starbase, the one, the only, everybody's favorite,

Gavin Baker of a treaties management. How are you doing, Gavin? >> Great, man. Thanks for having me. >> You're still floating on Cloud9 after. the SpaceX IPO. Yeah, >> that was a very special moment and it. was a culmination of, you know, some. decades of hard work, >> but man, to quote uh Bill Bich onto. Cincinnati. >> Yeah. Yeah. Exactly right. >> Yeah. Zero zero is uh the how the Knicks. talked about the next game in every. series. They're like, "It's 00. We come.

into this as if it's like the first game. of the series, even if we're up two. games or three games. The socialists. have swept New York in the congressional. Democratic primaries." On Tuesday, New. York City Mayor Mandami went three for. three in the candidates, which he. endorsed, and they all won their. primaries. 10th district leader Brad. Lander defeated two-term incumbent Dan. Goldman. 10th is one of New York's. richest districts includes the West. Village. All those townhouses, uh, Wall. Street, Dumbo, Cobble Hill, Carol.

Gardens, Park Slope. That's some weird. geography put together there. In New. York's 13th, Jiovalier beat a fiveterm. incumbent who was backed by House. Speaker Hakee Jeff. And apparently the. socialists are coming for him. 13 is one. of the poorest districts. Harlem and the. West Bronx, the Boogie Down Bronx. She's. a 32year-old Democrat socialist with a. history of spicy remarks. New York's seventh district. Claire.

Valdez won the open seat over the. handpicked successor. The incumbent. seven is a DSA stronghold. Bushwick, Williamsburg, Long Island City, Greenpoint, known as the Kami Corridor. A lot of hipsters and baristas with. suspenders in that neighborhood. According to our partners poly market, this was a pretty big upset. The Mandami. sweep chances were just 26 before. election day. Yeah, that would be like. the trifecta there if you were gambling.

These candidates, just like Mandami did, a lot better with younger, college. educated, and highincome folks, folks. who can afford to be socialists. And these are all safe Democratic seats. The DSA will very likely win. So the DSA. caucus, >> that's the best way you just said, people who can afford to be socialist. It's always. It's always the the rich poors, you. know, they're rich but they pretend to. be poor. It's perfect. >> I mean, this is the history of our. country from the 30s, the 50s, Red. Scare, Black Panthers. I mean, we'll get. into it, Shimoth, but basically, if.

you're intelligent and you get into. business, you become a capitalist. If. you're super intelligent and you go into. academia eventually, you have the luxury. of belief that socialism is awesome. What's your take here, Chimath? And then. I'll go to you, Sax Poo, cuz I know I. can see you're chomping on something. over there. you're just ready to go. >> Honestly, I think that we are losing the. script and part of it is because we've. been our own worst enemy. I'll just keep saying this that I think. AI is a very good prism into this. problem. I think AI is the greatest.

economic leveler. we'll ever find in our lifetime. I think. it's the thing that can create the. greatest amount of equality. I think. that it can even the starting line for. every single person on earth. But we've. done such a poor job in representing it, in bringing it to market, in talking. about it. We've let all of our own. personal trials and tribulations and. insecurities and fights spill out into. the open. As a result, Silicon Valley. has lost even more credibility with the.

people at large. And in that vacuum, what other people can paint is a picture. of how anything other than what. capitalism looks like today is a better. version of what they see. And this is. why you're seeing, I think, a lot of. these people get a lot of momentum. I. think if you look at some of the key. congressional races, they were a. referendum on AI. And the good news is. we were able to hold the line in some of. these key places, but just barely. In. Utah and in New York, there was a couple.

of very important races where it was. essentially anthropicfunded. anti-AI groups, which is again insane. against. in some ways open AAI funded proA groups. and the pro-AI groups won. You just. explained that it's a a great leveler. Can you give a couple of examples and. just expand on that briefly? How is it a. great leveler? I mean I know but for the. audience's sake you've said this a. couple of weeks now so I think unpack it.

a bit. >> Um the best way to explain it is I think. that the first real major unlock of. economic productivity was when the. internet and specifically Google went. and harvested and collected all the. world's knowledge and all the world's. information and they made it available. via search. What we figure out though 25. years later, despite the fact that they. built a great business, is what was. missing was then being able to take that. knowledge and information and transform.

it into expertise and intelligence. And. that's effectively what AI does. It. takes that world's knowledge and it. allows you to act upon it so that every. single man, woman, and child has an. equivalent Travis Kalanick in, you know, as his co-founder, a superfounder, this. brilliant person that can think through. all your problems, can outgineer people, can outthink people, and they sit beside. you and you have that. And there is no. gatekeeping that can prevent you from. having that. And so now you're only as.

good as your ability to direct that. energy into something productive that. you value. That is an incredibly. powerful thing. And instead we've gotten. caught up in dumerism and jobs being. lost and you know water being consumed. All of which are lies. All of which are. complete fabrications and. misinformation. And these have been created in order to. specifically help one small set of. actors inside the AI race. and it's been.

fed and funded by those folks. So in in. this vacuum, Jason, we've allowed all. these other people to paint the other. version. And right now, the other. version looks way more compelling than. the current version because the current. version has very poor brand ambassadors. Sax, what's your take on this? I guess some. people are looking at this as the left's. version of the populist takeover that. Trump did over the last. 10 plus years. What's your take on what.

we're seeing here with socialism and its. amazing appeal and it's winning at the. uh election box? >> I think there is some truth to that. I. mean, I think the choices of the future. are going to be communism or if you want. to call it socialism in the Democrat. party or nationalism in the Republican. party. I mean, that is where we're. headed. Those are the two populist. directions. But let's look at what these. DSA candidates stand for. So, let's look. at what their platform is. They actually.

say they want to abolish the Senate. They want to abolish the carceral state. That means basically police forces and. prisons. They want to abolish ICE and. grant amnesty for all. They do not. support any deportations whatsoever. They want to replace the president and. supreme court with an executive and. judiciary that is chosen by and. subordinate to Congress, which basically. now I guess just means this house. And.

with respect to House elections, they. want to abolish the electoral college. They want to replace the two-party. system with a multi-party democracy. And. they want to expand the House of. Representatives, implement proportionate. representation and rank choice voting in. all elections. So this is would be a. total makeover of our constitutional. system. They want to free Palestine. They want public ownership of major. corporations. They want to defund the. Department of War. This is a very. radical organization. And you would. laugh at a lot of these types of.

proposals, but you can't really laugh at. it anymore because these guys are taking. over the Democratic party. And you can. see the Democratic establishment is in. complete panic right now because they. have lost control of the party uh to. Zoram Mdani and his his allies. So. Jason, like you said, I mean, let's take. this one race here, New York 13. You've. got this ally of Hakeem Jeff, longtime. incumbent congressman, Espalot, I guess is is his name. He is.

the chair of the Congressional Hispanic. Caucus. And he was defeated by an. unemployed 32-year-old PhD candidate. She's never had a job. She's been in. college for 10 years, I guess, writing. this PhD thesis. >> And I think even by DSA standards, she. might be kind of a lunatic. So, she has. declared that she wants to end Western. civilization. She wants to eradicate. Western civilization. >> Wait a second. What? >> We're soaking in it. >> Yeah. She actually said she used the.

American flag as a napkin to clean her. hands. >> Oh, >> she attended a rally one day after. October 7th celebrating the slaughter of. Israeli civilians. I mean, she's very um. pro Palestine, but even to the point of. celebrating Israeli civilian deaths. She. calls white women ugly colonizers. She's. called for the complete defunding the. police and abolishing all prisons and. borders. Doesn't want a single. deportation. hates the police, openly. calls them pigs, or has on social media.

before, calls US service members war. criminals, and says the US is a disgrace. of a country. She's written favorably. about communism and seizing the means of. production, and on and on and on. So, this is basically the new Democratic. party. It's going to be even if the. Democrats do take the house in November. and Hakee Jeff becomes speaker, this is. going to prove to be a huge headache for. him managing all these new DSA members. >> because they do not actually see the. traditional establishment wing of the.

Democratic party as an ally. They see it. as an obstacle. This is the DSA co-chair. Josh Block said, "We're using the. Democratic Party as a ballot access. vehicle.". >> Oh my gosh. >> Not because we share its goals. We build. our own organization, >> get elected under the Democratic label, caucus with Democrats when it's useful, and push our own agenda from the inside. We see the Democratic establishment as. an obstacle, not a home. So, the DSA is. coming from the Democratic Party. It.

controls the base now. It's where all. the energy is. I think this takeover. will continue. I think the DSA will. gradually take over more and more of the. Democratic party. And all I can say to. these establishment Democrats is play. stupid games. win stupid prizes. You. supported this open border policy that. brought in this wave of mass migration. That is a huge part of the base of this. new DSA wing. Ma'am Donnie would not. have won the mayoral election in New. York if it had just been nativeorn New.

Yorkers voting. It was the mass migrant. vote in New York that swung it to Ma. Donnie. It's not exclusively the DSA. base. It's the migrants plus these. overeducated. white progressives who I say. overeducated because they're more. downwardly mobile. They end up going to. work in academia or NOS's that kind of. thing. They're hard left-wing. >> They're kind of the vanguard. And it's. this combination of these, you know, recent college graduates who are kind of.

the organizers and this migrant movement. who are really taking over the. Democratic party. But again, this all. goes back to Democratic Party policies. They may not have intended for the staff. and they may not have intended for them. to lose control, but it was their open. border policy. It was also the fact that. they have cracked the melting pot and. the policy we had for many years in. America of assimilating migrants, right? Immigrants. >> Yep. >> That all got cracked by multiculturalism. and wokeism. We don't really do that.

anymore. So now you've got these. candidates like Shioalier openly. declaring they're not just. anti-American, they're postamerican. They don't have any respect for the. American system, our constitutional. order, our free enterprise system. They. want to introduce something in much. different and it's going to look a lot. like the countries where these migrants. are coming from. >> Yeah. So again, you know, if you import. massive numbers of migrants, don't. assimilate them into our system, and. then you have these Marxist leaders,

you're going to end up with the American. system coming to resemble the countries. from which. >> it's really interesting. You mentioned. like how she wants to get rid of all of. these, you know, delete all of these uh. units. It's very similar to Trump's, you. know, he wanted to delete a separate set. of things like the IRS and USID, Department of Education, EPA. They each. use that playbook as well, like, "Hey, we're going to delete some of this. stuff." Travis, you uh famously had uh. the fountain head. >> Trump didn't want to delete the US.

Constitution. >> No, definitely not. >> Travis, you're used to Slight. difference. >> Slight difference. I agree. He didn't. want to delete Western culture. >> I don't think he wants to delete Western. culture. >> No. Uh. >> you might want to delete USAD because it. was a festering. It was basically a. front for all these. >> NCOs. NCIA. Yeah. By the way, you may. you may have noticed that in South. America, we've had seven elections where. the countries have swung to the right. And I think a big part of the reason why. might be you don't have the USAD there.

conducting all these uh left-wing regime. change operations. >> Pola's polared. disappeared and the incentives. disappeared with it. >> Travis, you uh famously had The Fountain. Head and Ran's novel as your Twitter. avatar for a decade or two. Uh. [laughter]. it was no they've been writing about it. for a decade or two. This is like a. six-month thing where I would read a. book and then rotate at my avatar. >> Yeah. >> You had Hamilton for a while. I had.

Ender Game for a while. But yeah, it. became. >> I mean you having known you for a while. I think believe in the individual and. their exceptionalism and and trying to. have a little ruggedness there. This is. obviously the the exact opposite. What's. your take on what's happening in these. pockets? Cuz it's not national yet, but. it's definitely notable. >> All right. I've um I've got I've got. sort of two apherisms for us. Okay.

First is. truth and justice is the immune system. for society. When the immune system is suppressed, all the social ills flare up. Okay? So if you're seeing us losing. truth like social media, mainstream. media, whatever you call it, like that's. an early indicator. or bad things happening in society. Okay? And it's not just like social.

media, mainstream media, it's just. everything around us. Um, and the same. on the justice side, too. If people. commit crimes and there's no. consequences, it's a nice early indicator. So you can. kind of watch. you can watch these things and say is. truth winning today or is it losing? >> Is justice winning today or is it. losing? And what is the trajectory will. tell you? Are we going to get worse? Are. we going to get better? >> Right. Co makes and the Fouchy case now.

we're seeing a lot more information come. out. We have a really hard time getting. the truth and maybe we'll get justice. eventually. It seems like we're getting. a little more truth 5 years later, but. it's like a perfect example of what. you're discussing. Yeah, >> there's a lot packed into that, but you. can unpack it. If we had a lot of time, we could unpack it. But those become the. sort of atomic things that you look at. And then the other thing I'd say, and. and some people get a little surprised. when I say this, which is. communism is in is in all of us.

Communism is in is in our blood as. humans. And people go, "What the hell. are you talking about? You're crazy. What do you mean?" Well, I'm like,"Well, have you have you ever in your life been. lazy?". And everybody's like, "Yes, I've been. lazy in my life before." I said, "Have. you ever in your life wanted something. for nothing?". Yeah. The difference is, do you make. that a way of life? And when you have. ecosystems.

that essentially allow you to do both of. those things without consequence, those. ecosystems get a critical mass and start. taking hold. And I think that's what. we're seeing. >> Well said. Yeah, I think it's well said. Uh Gavin, I I know you uh I don't know. you to talk too much about politics, but. talk about markets, but these two things. do relate, I think. So give us the. economic perspective here on why this is. happening because obviously different. generations have had different economic. experiences. So I don't want to lead the.

witness here but I have had. conversations with you about this. before. >> Yeah. Well so I do think um. I obviously AI is I think going to be. the defining political issue of the. midterms and for sure the the next. presidential election. But I feel like what is going on with. the DSA is really a fusion of two. things. So, the Democratic Party, I I I. was a Democrat for most of my life, and. it was the party of the working-class. people that was trying to create. opportunities,

you know, maybe level out um equality, you know, help black Americans, help. Hispanic Americans. And, you know, you can agree or disagree. with their methods, but I think those. are all noble goals. And to a large extent, none of those are really present in the. DSA. None of them. If you look at who voted. for which candidate,

the pe the voting base of the DSA. are relatively wealthy white liberals. who are downwardly mobile. They're. losing votes with working-class people. They're losing votes with poor people. They're losing votes with black. Americans. They're losing votes with. Hispanic Americans. and those, you know, the the people that. the Democratic Party, I think, for a. long time tried and whether they failed. or succeeded is up to tried to represent.

and give a voice to, they are not of interest to the DSA. And I think the DSA is is dangerous. It's tragic that we are electing. profoundly anti-American. candidates who in some cases have called. for violence uh to eradicate America. And I just think there's there's a whole. class of people who went to an elite. school. They grew up in really nice.

circumstances. and uh instead of going into industry, they went into this kind of giant NGO. nonprofit machine. and their outcomes have been very. different from people who did productive. things for the world. You know, I've. said on this show many times, Elon has. done more to decarbonize the planet than. every activist combined. >> Yeah. times 10 by the way.

>> times 10. And I think these NOS's and. the fact that the government is. increasingly. outsourcing a lot of funding to them is. a really big part of this problem and. they are pursuing policies. You know, I. think we maybe talked about it last. time, but the curly effect, a mayor of. Boston, you pursue policies that you. know are going to be disastrous for this. your constituents, but they drive out. your rivals. And then you can give jobs,

$600,000 a year jobs, run an NGO that. does nothing productive to your friends. and allies. And it's really organized. corruption happening at a massive scale. >> You know, the one thing, whatever, whatever you want to say about the Trump. administration, a lot of people are up. in arms about this, you know, new plane. he's getting from the Qataris. >> Well, well, one, sounds like we needed a. new plane, but two, it's right there for.

you to see. I think there are tens of. billions, maybe hundreds of billions of. these payments flowing to these NOS's. And if you look in California and New. York, it's um. like I think the per capita spending on. homelessness has more than doubled and. it's all gone to NOS's and outcomes have. gotten worse. In California, it's like. quadrupled and outcomes have gotten. worse. So, I think this is this is dangerous.

and I hope that the mainstream Democrats. can find a compelling candidate because. I think the reason that the DSA is. increasingly ascendant is not because of. their ideas. I think their ideas appear. to this appeal to this very nar narrow. subset of downwardly mobile rich white. people who you know increasingly maybe. live in you know quasi gental poverty. because they they're not doing. productive things. They may be. well-intentioned but they're not doing. productive things.

and can find a compelling candidate. because I think the reason they're. ascendant is Zoram Mani. I think he is. one of the most talented politicians. I've ever seen in my lifetime. You know, he can give a great speech. He's good in. an interview. He can tap into all of. this. He's kind of a chameleon who can. shift. But I think he is a singularly. talented politician and he is the reason. that the DSA is ascendant. not their.

ideas or not dissatisfaction. with AI, but it's him and there's no one. else in the Democratic party. I used to. think AOC was by far the most talented. Democratic politician. >> That was the warm-up. Yeah, >> she was talented. She's nothing like. Zoron from a political. >> Zuron is clearly talented. And if you. combine his charisma and ability to. communicate with generations like we're. now like have two of these lost. generations that feel like they're going.

to do worse than their parents. And if. you look at housing and college debt, healthcare, they don't believe that they. can participate in the system. They feel. the system's rigged. And if somebody. comes along who speaks to them and they. have no conception of socialism and what. happened, you know, in Germany or during. the Red Scare, they have no idea what. socialism or communism is. They have. this incredible wrapper they've put. around this, which is, you know, they're. democratic socialists. It's like it's. it's the coke light. It's it's a coke.

zero of socialism. It's actually just. communism. They want to literally seize. people's assets. They want to seize half. of, you know, these compan stock. They. want to seize their wealth. They they. just want to take from the people who. have made stuff as we talked about last. week and we've done nothing to change. their mind. We haven't made more houses. We haven't made college more affordable. Healthcare is a disaster. Inflation's a. disaster and starting pointless wars. Obviously, the support of Israel is.

somewhere in here as part of say. something. >> Yeah. Yeah. I was on Megan Kelly. yesterday. and I had this theory that I've been. kind of working through and I'll just. share it with you guys because I'd love. your reaction. If you look at the scourge of socialism, if you take the rhetoric away and you. actually look at the outcomes, there are. three countries that I think have veered. far [snorts] towards socialism well. before the United States. Canada, the.

UK, and Australia. And I think when you. look at any sort of reasonable measure. of their progress, it's been an. unmitigated disaster. So all of the. virtue signaling on social issues, all. of the virtue signaling on immigration. and open borders, all of the virtue. signaling on climate change has left. each of those three countries in some. state of disrepair with enormous amounts. of infighting, tremendous political. instability. They are all sort of powder.

kings. And there's an interesting thing. that happened in each of those three. countries that I think has the potential. to turn the tide. And it speaks to what. Gavin said. Each of those three. countries now have banned social media. when you're 16 and under. And I think. it's sort of like making sure the kid. doesn't get addicted to the drug too. early. And when you look at somebody like Zoran. Mdani, I think Gavin is right. I'll go. even further. He.

AOC, the lady that just won. >> Shiovalier. >> Shalier. Let's just break it down. They're all good-looking. They're all. charismatic. They have their pulse on. the the gestalt of the moment. They know. how to use social media, and they are. essentially curating an army. Now, if you cut the legs off by saying. young people should actually age into. social media, I suspect the most. important channel of information.

consumption being taken away from them. actually starts to give them the. opportunity. and the rest of us quite honestly. because we have to deal with kids who. are just really stupid constantly asking. for this stuff. Um, the chance to. actually show you how a balanced diet. actually allows you to be much healthier. in your later life. And I think as. relates to information consumption, I. think you are going to see I suspect a. far less radicalized youth aging into.

the voting roles in those three. countries. And I suspect if you start to. see political stability and. predictability in Canada, the UK, and. Australia, you can put your finger right. on this ban as the reason why. And. Florida's already done it in the United. States, and I think we need to deeply. consider it across the rest of the. United States. Good night. >> Social media ban is now starting at 16. and uh Canada has it. It may come to the. US. Go ahead, Travis. >> I'm a full counter to Chimoth on this. one. The I I think we all agree social.

media is bad for the kids and for the. adults. Like too much of that stuff is. very bad. It's brain rot for real. And. it's going to be worse than cigarettes. It's all the things. But the real point. of banning under 16 is so that you can. force adults to identify themselves and. deanonymize themselves so you can set up. a fullscale censorship regime which. they're sort of contemplating in the UK. And what censorship is really about is.

not about harmful content. It's about. content that the people in power don't. want you to see that disagrees with. them. if it agreed with them, it's not. harmful. It's the stuff that doesn't. agree with them. And so what they're. doing is they're criminalizing. disagreeing with them. >> And so there's a derivative of this. agebased. stuff, >> age gating. >> that. >> 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 think if. if it were not for free speech and and X.

like I think we'd be living in a very. different world today that would be a. lot worse. And just to riff on a few. things that that all of you have said. you know on communism it is communism. and the great tragedy of human. experiences 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 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. They 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. >> Yeah. >> 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 like 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, you know, getting rid of. math in California. It is profoundly.

disadvantageous to people. It 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 well, 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. >> Yeah. I think the specific stat is. like.1% commit 70% of the crimes. And if. you just dealt with the 0.1%, you'd.

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's that is. a little worrisome to me in terms of the. future of of the United States. >> Well, and by the way, I I I don't think. it's just New York. I mean, that race. for mayor in LA where was it? Ramen. 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 LA. and they're growing. So, especially in. these low turnout elections, and look, this was a Democratic primary in New. York, which is a strongly blue state. So, I think maybe 17% turned out some. 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. You know, this is a national. movement and we're going to see in a lot. of places, but there's no question that. Mandani is now kind of the spiritual.

leader. I mean a lot 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 sex they did learn. something from Trump which is builds a. big tent so you're seeing Bernie Mandami. Roana 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 and. even the establishment wing of the.

Democratic party is 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 Mamani 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 primar and they're going to. have to tilt their voting and their. views and their rhetoric in this DSA. direction cuz they don't want to have. happened to them what just happened to. Dan Goldman in the New York 10th. district. And just to make one last. point on that. So Jal, you mentioned the. 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. He had all the right progressive. credentials. He checked the box in 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 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, you. know, 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. So. 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.

>> they were all over campuses. They We see. I 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 Megan. 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 let me let me um look, I. mean, I'm not taking a side in this. I'm. just trying to describe what's what's. going on. So. >> 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. But if you're under. 50, which means you're probably not. watching Fox that much anymore. You're. probably on to the podcast. I think the. 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. Republicans. >> I think Chamathy did a wonderful job of. explaining this on Megan 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 BB Netanyahu. And I think. there's a lot of concern on Netanyahu is. just absolutely out of control is the. consensus I think amongst many people. across many religions and and political. parties. >> Not to rehash this whole thing, but. there are a lot of parallels from what. happened in 107 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 911 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. So there are moments where leaders. are put in a position and they. essentially act on behalf of their. country and their people to write a. wrong. I understand that. I think. everybody understands that. What's. happened now though is that people. cannot logically disambiguate. Jews, Israelis, and BB. 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 then an entire. religion is insane. May I add one thing? May I add one thing is I think there's. well two things really and I'll be. quick. >> One, Israel has a giant PR problem. They. need a young sub 35year-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. BB Netanyahu's wife didn't like him so. they canned him and 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, you know, technically precise, but there.

there's an accident. And those are great. people, but they're not great spokes pe. spokespersons. And this is an urgent. issue. As far as the antidote, going. back to Chamas's comment, I do think a. big reason Trump got elected, every. Democrat, many of the Democrats I know. who voted for Trump, a big part of it. was that during co they heard what their. children were being taught. >> and the first time. >> and it was radicalizing for them. >> Yeah. >> And I think it's just really important.

that like 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, but 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've been brought up. being ashamed to be American, ashamed of. various things in their identity and. being told that America is evil and 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 cancelled 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 smorgish board. >> Yeah. You know what your culture is? You. know what my culture is? >> I don't know. >> It's no longer Laura Piana. I know that. I know you're off the train. >> Winning. >> Winning. The culture of winning. I love. it. >> Learning. >> Learning. >> Progress. Adventure. Moth. Do you piss. excellence to quote quote Ricky Bobby?

>> Oftentimes I piss excellence. >> just burns but oftentimes um just to. warn 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 they're just a host. Like they. literally want to infect the dem 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'm going to 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. So, 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 in 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. He 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 Mandami'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 Nick fan my whole life. cried. and was at game five when they won the. finals. And then Mandami 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, no good will. come out of it. >> Isn't it amazing? >> Here we go. >> Okay. You know, you know Manny 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. >> No, I love the SPEECH AND [laughter] I'M. LIKE THE SPEECH. >> That's all it takes. We're screwed. That's all it takes. >> It's true though. If. >> 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 was he was making Knicks references. and it was the most get out of your seat. standing ovation cheer, you know, speech. I've ever heard about the Knicks and I. was infuriated. This guy is such a good. orator. >> You got programmed. >> I hate him. >> We're going to 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. >> Next topic. >> Next topic for sure. >> [laughter]. >> 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. China Z.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 uh licenses have very. >> super open source. Yeah, >> it's super open source. Thank you. >> The most open source. >> The most open source of all open source. If you open it up, you can use it. however you like. Uh you can fork it. You can build your own company based on. that. No regional restrictions, no API, fully self-hostable, no uh no Dario. >> It's just yours. It's just making your. chain. It's yours. And you just got to you just got to.

reference the 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. Trails Claude Opus 4.8 by. less than 1 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. ringing, 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 6 months even. matter? Does 6 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. And 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. You know, >> please explain to the audience what that. means. >> Distillation is when you have, you know, a 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. And 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. I do think. >> it's a cheat sheet. It's a cheat sheet. for other models to catch up. >> 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. engine together to make it very simple. >> Exactly. But now that this model is so. good, it is good enough to do its own RL. and 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 a what Andre Karpathy called a. council of LLMs. You're going to have, you know, you're going to have Grock. You're gonna have Anthropic. You're. gonna have OpenAI Google. You're gonna. have at least two of those. I would. argue Grock should always be one of the.

two because of its dedication to the. truth and 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 are on your. data. And you're gonna put those two. together, the frontier models and your. own model and you are going to get you. know real paro dominant outcomes and you. know half the queries are going to be 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. And a. misconception that a lot of people have. is that open- source models are, you. know, 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. >> What does that mean composable model? when a composable model where you have. if you're a corporation if you're um do.

is there is there a new name for your. super secret um 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 um for your. super awesome startup Adams which man. lot loads of people have been calling me. to say how like they've been in the you. know they they've spoken to you and. >> invest investor the uh your your dog is. hunting with investors, Travis. >> All right. 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, you. know, your RL SFTD version of. Dematron. >> Yes. Then 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 um, you know, kind. of a symphony of models working together.

with kind of the frontier models being, you know, maybe the conductors. >> But that's what I mean when I say. composable. >> Yeah, understood. Thank you. >> Saxs, formerly AISAR. and 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 feels like. >> Can I just say one thing? Nvidia is the. American open source champion. >> Thank you. Yeah, >> 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 like. pushing it out there too often. >> All of the above. Who knows? We'll see. Okay. Yeah. And you got to be delicate. there. I see. Okay. So, I'll say it, not. you. Jensen does it. Yeah. I mean, it's. it's a it's a classic channel conflict, right? You're 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. A6 and the incentive that creates for. Nvidia. On the model perspective, >> if OpenAI, which launched their Jalapeno. chip this week and 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 OpenA. sells those chips to other people.". Don't be surprised if Nvidia starts an. OpenAI competitor. You heard it here. first on allin. Sax, did you want to jump in there? >> Sure. 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. openweight model for coding, software. engineering, and long context agent.

work. And you gave a couple of the sweet. bench scores. I mean it was just a tick. below OPUS 4.8 and it was right up there. with GBT 5.5. So if you compare this to. again the state-of-the-art the frontier. models for anthropic and open AI it is. right there with the previous model. But. you have to remember now that the. current model fable for anthropic and. 5.6 six for open AI is now in a little.

bit of a purgatory because of all the. reasons we covered last week. Now look, I like I said last week, I ultimately. blamed Daario 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, you know, one of. Anthropic'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. GBT 5.6 is trying to navigate these new. approval hoops. So we now have a Chinese. openweight model that is as good as the. currently available models from OpenAI. and Anthropic. 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. I'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. >> David can ask, >> do you think Daario got exactly what he. wanted? It seems to me there's some. chance, this has been a very calculated. strategy to provoke the US government. into doing what they just did and this. is what he wants. He has a regulatory. moat now. He can keep his future models.

behind this, you know, give it out to. Glass Wing, use it to distill it for him. for themselves. Do you think this is. what they wanted? I think that on a. certain level it is what they wanted. because they've been advocating to have. a federal regulator, basically a new. agency. In fact, Daario 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 Daario 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 Daario by giving him exactly what. he's always craved, which is some sort. of labyrinthine government approval. process that does reward regulatory. capture. So I hope that very soon now.

I do think that as long as Enthropic 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 is. something I've been saying for months. which is with respect to risks like. cyber it is undoubtly 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 all. the vulnerabilities and do a big upgrade. cycle. Roll out the patches before they. can be exploited. The 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. You know, 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 the Chinese have been, I'd say, 9. months behind our models, plus or minus. 3 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. >> So, like I said, we're on a shock clock. here. I've been saying for months that. we're on a shock 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. cyber security 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. >> 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 GLM5 family was trained. entirely on clusters of Huawei Ascend. 910b chips. So 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. 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. I'm going to take these Huawei. optimized models. Remember that.

GLM 5.2 the inference is optimized for. the Huawei chips. Okay, 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. Yeah. And that's. another thing, as I've been saying since. the beginning of this administration, we. have to be proexport because China is. going to be there within a one or two.

years. As 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. And now China is going to be there. imminently. >> Yeah. And with a lower price seg when. you play with uh this new GL, you get. some really interesting responses. it uh. I asked it about the country of Taiwan, was not pleased and uh didn't give me an. answer. I asked it about Tiana Square. No answer as well. I'm using the hosted.

version at Z.AI. Uh 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 3-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's too busy, but you. can go play with it at z.ai. dish 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 in there. 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. TNM Square and things like that. So I. think Jal, you're absolutely right about. the censorship, but it's not a fatal. problem. It's something that American. companies can fix when they. >> Yeah. >> 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 [laughter] or. your visit to Tanaman 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. SK Heinix 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 up 14x. >> I'm not crying in my soup. >> you're not crying in your soup 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 and people are buying 128 gig, 256 gig MacBook Pros, Mac Studios. But. the 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, you know, the new MacBook Neo, which is. their $699. laptop, you know, kind of competing with. Chromebooks, is now $7.99, up 15 14% and. Mac Studio up 25%. The costs are just. going to be very significant. Inflation. has come to the desktop. Your 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. I bottlenecks. I call them. the bottleneck bros. You know, they'll. they'll do some work with Claude, find. some esoteric Japanese company. The. bottleneck that matters is DRAM. And. DRAM and HBMD RAM, 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. power supply semiconductors, not NAND. flash, not HDDs, DRAM. Uh, and I think. this bottleneck is going to be with us. for a while and 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 SDAs 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 pretty maybe end up being. very transformational for the industry.

most other parts of the semiconductor. supply chain have rerated. you know lamb research. you know the the wafer fab equipment. suppliers you know 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. ills. 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. It's really hard to do. This is as close to magic as science can. get. And you know, I think Terraab. Terapab, you know, is going to be an. important part of this solution. But um.

you know these 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. Every do. the 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, you. know, going to, you know, inflate the. costs of building a gigawatt data center.

to the point where like, you know, even. for the hyperscalers, um, economics. matter. We're caught in this prisoner's. dilemma. And this may give us as a. society time to adapt to adapt, you. know, what our friend Brad Gersonner. calls the social contract. So the high. iPhone prices, you know, 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 incredibly refined silicon. >> and that might be the pre- bottleneck. >> Yeah. Yeah. making the HBMD 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. >> Yeah. Semiconductor grade. Yeah. >> Yeah. So, my understanding of HBM stands.

for high bandwidth memory. Again, this. is part of the, you know, the GPUs that. go in the data center to run AI. is that you take the the DRAM wafer or. die and you actually stack them. And so. I think HBM 3 is like eight. It's. stacked eight dyes high, but now they're. increasing to 12 and even 16. And to. basically stack them and then package. them all together is 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. Apple 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 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. So, it's not easy. to ramp this stuff in the US. Although. Micron is the one provider that's in the. US, SKH is in South Korea. Samsung's in. South Korea, too. But anyway, we're.

going to see again more of this AIL. 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. of prices in consumer whereas AI demand. is relatively price insensitive. David, 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 fast. >> Why were they trying in New York? It's. kind of crazy. >> You know, New York gave them all these. incentives and but it 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. Now 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 we'll 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 Terraab? >> Well, I mean, [laughter]. 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 terapab. faster than other fabs have been stood. up. But it 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. So, it's going. to be hard. But, you know, he has a 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 is it might be relevant to SpaceX. AI, although it's don't have to limit it. to this is um 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. I'm not sure that the. GPUs are getting any cheaper. I guess. some of these. >> transformers, the switch gear, >> 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 1 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 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 in literally outer space. and orbit and on ground. But if you can. get the cost of launch significantly. below that $25 billion, then the math. starts to really mass. 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 Pentagoniz. data centers. No, it's racks in space. linked with lasers. It's it's kind of a. virtual data center in space. >> Wait, five billion. Is that five billion. of launch cost or what? >> Five billion of launch cost. Now you're. at 40 billion to put the gig into space. You're at 60 billion terrestrially. And. the 25 billion that is power and compute. is clearly inflationary. And so it may. be that in three or four years it's 70.

billion verse 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 are you're maybe. paying a billion dollars a year for the. power to run those chips and cool them. >> 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 saxs 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, now. that's the key statement. Whatever is 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. megawws to gigawatts, man, those are. like hope diamonds. >> Those are just lock them down, >> which I own. [laughter]. Travis, 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 that's. you can give me credit for it. >> Of course. Yes. Uh as Chimath has. architected in his uh in his high perch. Uh but this trademark came out. >> How cool would that be? How cool would. it be for those two to come together? >> It's gonna happening. And uh it'll be. incredible. And uh if you're lucky. enough to be an owner of both. >> top bottom, everybody can decide to be an owner of. >> Jason. Jason, I'll be I'll I'll be.

making love to myself when this happens. There'll be no. >> So no different than any other Thursday. >> Exactly. [laughter]. >> On the top and the bottom. >> The top and the bottom just like any. other Saturday [clears throat] night. [laughter]. >> Here's the trademark for Megapod that. came out. This is a uh filing date of. 618 20226. 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 systems sold as a unit. self-contained modular computing. hardware systems for artificial. intelligent workloads yada yada yada. Essentially. >> just to explain what this is. Well, yeah. Let me let me just, >> by the way, that description makes I. don't know what it I still don't know. what it is. >> 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. Chamatha, go ahead. >> You have a couple of issues right now to. turn on compute terrestrially. 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 your bods essentially tell you. here's the anthropic spec, here's the. open AI spec, here's the coreweave spec, here's the AWS spec, here's GCP and you. get these 50 and up to upwards of. 500page documents of all these technical. details. The issue that we have is I.

don't know if you guys have used OpenAI. or Anthropic recently where you get the. whole thing of like come back later, right? That come back later is. completely unacceptable. It just means. that they have no compute. So in trying to find. >> surge pricing is coming. >> Yeah, let's go. >> 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. 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. Vertive 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? >> 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. 90day build cycle which is unheard of. So that that's where these mega pods 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 infosc.

requirements. There are certain liquid. cooling requirements that make many of. the workload applications unfeasible at. a place like a supercharger center where. random bumble are like trapesing around. >> security guard put it off to us. 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. LG 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. >> Wow. >> into our kitchens. compute kitchens. >> You're going to be able to buy small. modular. let's put data center in a quote. >> Yeah, but but it doesn't it doesn't. matter. Like I I just go buy the GPUs. and I'll just I just set it up in a. kitchen, >> right? It's not that No, hold on. It's.

not a Bitcoin miner. >> No, no, hold on, hold on, hold on. It's. not thating easy. Okay. Like, 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 gonna. sign up to. >> SLA. 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 the more. interesting opportunity is when. >> whatever Travis says. Let's talk about. the interesting stuff. >> No, no. I'm just saying like. >> what I thought you were going with this, Travis, is like you could build a. synthetic pool and contribute it to a.

neocaler. 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. >> doing. I 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 you got to do liquid. cooling, you got to do mechanical. systems for air cooling. Uh you have. energy. Like 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,

right? 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 again with your. fingerprint only when that door closes. Like, >> well, just out of genuine curiosity, how. much does one of those man traps cost? Like, why can't you put some of those in. your. >> Yeah, maybe you could. >> Are you interested in putting in a man? >> I'm just trying to help trap some men. I'll try to interpret where Chimat's. going a little bit is like a mega pod. that's sitting at a char 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 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 Bit Tensor. I. think Venice is a project. I think.

Plurales is another project. Travis, that's where I think it's super exciting. where. >> but 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. Like. the efficiency drops dramatically. You. want these things to be right next to. each other physically. You get like. multiple orders of mag at least an order. of magnitude type efficiency maybe plus+. plus like it's a big deal. Yeah.

>> So like you could have two we have two. facilities passing the jobs 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. >> honestly even if it's on your own fiber. connected like 2 kilometers away you're. screwed. It's not a thing. >> This is 100% true. But everything that. cuts against training works for. inference. >> where respect. >> well latency is super important and I do. think you know distributed inference.

distributed inference clouds are coming. >> Yes, I get that. That's. >> and to riff and to riff on like what. Chamas said in all of this like one I. mean 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 you know from those four. GPUs and it's like lock sealed so nobody. can get in but there's there's another. dynamic that I think we should talk.

about with all of this and can play into. the megapods And you know other people. are kind of working on data centers. You. 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 um. what do you call those things the. 18-wheeler. you know shipping container whatever it. is. Um but that is the disagregation of. inference into prefill and decode. When. you when a model is answering your. question it's doing two things. The. prefill part is understanding the.

question and its answer thus far. And. think of think of that as the more you. can remember the bigger your you know. your memory capacity literally the more. words you can remember the better. Decode is the process of generating the. next token and that is a memory. bandwidthbound problem and think of it. as the faster you can speak the better. and these two types of inference are. increasingly being disagregated and. Chimath.

was an investor in Grock which Nvidia. bought and they're going to use this. cerebrus is the other solution today. that is available and you can put Grock. or Cerebrris. decode, you know, optimized chips. They 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 you can lift. H100's, A100s out of some old data. center, put them in one of these mega. mega pods, you know, a rack in a. shipping container, put a Grock or.

Sirius in front of it, and you can get a. very competitive solution. And so I do. think the disagregation 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 financable. Jamath, you. want to riff on on Grock? Should we. should we should we. >> I really agree with everything. 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 a is. really onto some. >> and yes, Travis, obviously slower, but. people are contributing compute to this.

that's like kind of surplus computer or. comput that's available to. >> unused computing unused comput. Uh, and. then there's [clears throat] Targon, which is just straight up people are. putting and you can rent H200's 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. And so if somebody just had. the hardware and Tesla said from now on. every Power Wall, and I I I don't put it.

past him to do this. You buy a Power. Wall, we give you a discount on it. Every Power Wall has our GPUs in it. Part of the offering is you can't buy a. Power Wall 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 of these um power walls 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. >> He gets the exclusive for 20 years. >> You guys see that there's a rumor that. Elon's going to buy T-Mobile. >> By the way, we should just because. Cerebrus has blown up and gone through. deal price. We should talk about. Cerebras a little. >> So, uh, Cerebras 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, so to the extent you can talk. about these two as well as the two IPOs. to come, $4 trillion in backlog. We've. obviously got OpenAI and Claude, I'm. sorry, Anthropic, which makes Claude. Both of those will be worth a billy. plus. You put all this together, 4. trillion of new offerings plus Cerebras. in there in the mix. How 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 and other. insiders founders fund etc will be.

unlocked uh 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 there'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? >> Yeah, I think that is roughly where it. would probably trade as a public company. and. >> Wow. >> Yeah. >> I mean, look, they're going to do. they're going to end this year. >> Oh, man. >> They're going to end this year well over. 100 billion. >> Holy [laughter] What's the 28. number? >> What's the 28 number? Is it 200? Is it. 300 billion? It's probably not going to. trade at 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. But in terms of the market absorbing. this like the market's already absorbed. it, you know, it's 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. um is everybody who's a SpaceX investor.

or employee has had a chance to sell. every 6 months for the last 10 years. So. they not may not be the wall of. liquidity that some people are thinking. about. I read this New York hedge fund. short short report that you could just. short SpaceX on the lockup because so. many people are going to sell. Really? 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. Cerebrus,

>> but Gavin, one thing though, I got to. say, so I I I've had SpaceX since 2018. What? What? But. their little their little liquidity. thing every year, like last year it was. like 350 350 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. and they're probably the, you know, at. some level one of the biggest pools of, you know, 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. of his. >> No, he's definitely not, obviously.

Yeah. Yeah. So, >> 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 Cerebras. So Cerebras has had a a. tough two days since they reported their. first quarter as a public company. And I. think there there there are two things. that are very 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 Cerebras. to some degree over the last two days. And you know 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. And so if stock breaks deal price. it can sometimes you know 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 you. know they make a quick 10 or 20%. So it. becomes a pylon. >> because you have this price insensitive. selling that can be triggered and this. is what has happened to cerebrus. You. know people talk about hate sale 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. And 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 to. public markets. It's a very different. audience than VCs and the way like the.

way I would have respectfully told the. Cerebra story because what happened to. Cerebras is they reported a quarter and. 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 202$25 billion I don't know the. exact number contract with open AAI in. December December of 2025. we immediately ordered more wafers from.

Taiwan semi takes 100 takes four months. from when we make that order Taiwan semi. you know says yes they start producing. takes four months to make the chip then. we 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 open AI.

deal at the earliest is probably around. Labor Day. So you'll see a little bit of. it in the in the third quarter, but then. it really it starts to build and 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 in cloud. revenue out of that gigawatt. And.

somebody on the call talked about adding. 50 megawatts a month. If they could add. 50 megawws a month in 2027, forget 26, that means they exit the year at roughly. a 9 billion cloud computing run rate. And you know, we're at 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. And but I would I would 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, like outside of the. hyperscalers, the only companies that. have ever brought on more than a. gigawatt, I think, are Cororeweave, um, Crusoe, [clears throat] um, and, and, and, and, and SpaceX AI to bringing on 600. megawws, it's really hard. And that is. what like 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. And I think that's well said. >> Yeah. the other companies that have had. this happen of late. I guess Rivian and. famously Chimath 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. underpric, grossly overpric. And it's.

really hard to get right. And this is. why doing auctions. >> or you know. >> Yeah, 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're when you uh want it to be a. certain number. >> 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. to price this thoughtfully, but just,

you know, there was it was such an in. demand IPO. I think it was a hard IPO to. price. You [laughter] just auction it, Gavin. You just auction it. I think that's. different than underwriting it. You're. underwriting, >> but the bankers like I think they just. need to get more in the mode of just. doing the auction, you know. >> Yeah. Final topic was this uh $3. trillion. or actually now it's your $3 trillion. call on anthropic would make it like 6.

trillion in offerings. What do we think. broadly? in offerings because it's. they're going to offer a small slice of. that. >> Sure. >> And that small slice is very e 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. it's not like somebody has to come up. >> Yeah. It's a 5% float is 150 billion. There's enough. >> guys. Remember remember when 15 billion.

used to be a whole lot of money? [laughter]. >> Yeah. How weird is what's going on? How. weird? >> By the way, crazy. Where is all this. money coming from? Oh yeah. Where was it. all this time? >> Can we just reminisce, man? >> We got my when I was at Fidelity, my my. colleagues and I, we got pillaried. >> I think we priced Uber at 14 billion. And we got pillaried in the press for. not knowing what we were doing. And it. was seen as, you know, then 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 that, you. know, no 17. No, you're right. I wanted. 14. >> and we had like a big negotiation. >> and we ran we ran an auction. No, we. just ran an auction. >> Yeah, you wanted 20 and maybe we landed. at 17. What we did, what we did was. every person who wanted to be involved. had to fill out a sheet of how much. money they put it at 10, 11, 12, 13, 14.

or 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 you. you close it down. But yeah, it started. that round started at I think it was 9. or 10 or something like that. Ended up. at 17.

>> Thank 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. >> Yes. [laughter]. We used to have to Yeah. We used to eat. potatoes with no butter, just hot. [laughter] potatoes. Sometimes we were. lucky that they were cooked. Sometimes. they were raw. 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 um four potatoes in the oven.

They'd wrap them in tin foil, one in. each pocket because they couldn't afford. gloves. So, you put your hands in your. pocket with the hot potatoes. You get to. school, you eat one for breakfast, one. for lunch. him and his sister uh. Johanna, God rest for so my aunt who. died too young and they would just go. eat these potatoes. That was their life. Uh walking to school. >> Yeah. And our kids are trying both ways. >> Yeah. They're trying to get the new. iPhone 16 or 17. I don't know. >> Remember when Remember when it used to. be hard to raise $5 billion? >> Oh my lord. This is 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. It's okay. We already. sound like grandpas. It's [laughter]. fine. >> We do sound like It was so hard to raise. that first 1.5. [laughter]. >> 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 Atheertton. >> Oh, okay. There you go. It's just a. Arabian art. All right, everybody. for.

the dictator. Jamal Pitia and for David Saxs TK GB. We'll see you next time on the Allin. podcast. Bye-bye. Great job everybody. [music]. >> We'll let your winners ride. >> Rainman David. [music]. >> We open sourced it to the fans and. they've just gone crazy with it. >> Love you. [music].

I want your winners. >> Besties are gone. [music]. >> That is my dog taking your driveways. >> Oh man, my appetiter [music] will meet. up. >> We should all just get a room and just. have one big huge orgy cuz they're all. just useless. It's like this [music]. like sexual tension that we just need to. release somehow. >> Your feet. [laughter]. We need to get merch. Going all in.

[music]. I'm going all in.