E166: Mind-blowing AI Video: OpenAI launches Sora + Is Biden too old? Tucker/Putin interview & more

(0:00) Sacks Tequila Tasting! (1:19) Nvidia's market cap surpasses Google, ARM's stock rips, Masa's big comeback (15:36) Mind-blowing Sora demos: breaking down OpenAI's new text-to-video model (51:24) The risks of companies issuing stock option loans (1:04:57) Biden's cognitive decline, should the Democrats find a replacement? Plus, third party viability (1:31:46) Takeaways from Tucker's Putin interview Follow the besties: https://twitter.com/chamath https://twitter.com/Jason https://twitter.com/DavidSacks https://twitter.com/friedberg Follow the pod: https://twitter.com/theallinpod https://linktr.ee/allinpodcast Intro Music Credit: https://rb.gy/tppkzl https://twitter.com/yung_spielburg Intro Video Credit: https://twitter.com/TheZachEffect Referenced in the show: https://companiesmarketcap.com/page/1 https://www.google.com/finance/quote/NVDA:NASDAQ https://www.reuters.com/technology/nvidia-chases-30-billion-custom-chip-market-with-new-unit-sources-2024-02-09 https://www.ft.com/content/81ac0e78-5b9b-43c2-b135-d11c47480119 https://blog.google/products/gemini/bard-gemini-advanced-app https://www.wsj.com/tech/ai/sam-altman-seeks-trillions-of-dollars-to-reshape-business-of-chips-and-ai-89ab3db0 https://www.google.com/finance/quote/ARM:NASDAQ https://www.reuters.com/markets/deals/softbank-buys-vision-funds-stake-arm-valuation-64-bln-sources-2023-08-18 https://www.reuters.com/breakingviews/arms-weirdly-high-valuation-has-legs-2024-02-13 https://twitter.com/OpenAI/status/1758192957386342435 https://twitter.com/CultureCrave/status/1758212761748980089 https://blog.google/technology/ai/google-gemini-next-generation-model-february-2024 https://twitter.com/nathanbenaich/status/1758036247115608317 https://twitter.com/natfriedman/status/1758143612561568047 https://twitter.com/OfficialLoganK/status/1758198997590618550 https://huggingface.co/spaces/tsujuifu/ml-mgie https://huggingface.co/stablediffusionapi/juggernaut-xl https://twitter.com/jrichlive/status/1757258553688256895 https://twitter.com/jrichlive/status/1493392725814566914 https://twitter.com/chamath/status/1757537426019598418 https://twitter.com/elonmusk/status/1757537968083075137 https://www.ipsos.com/en-us/majority-americans-think-both-biden-and-trump-are-too-old-serve-second-terms https://thehill.com/homenews/media/4446630-biden-wont-sit-for-interview-with-cbs-before-super-bowl https://www.foxnews.com/politics/special-counsel-hur-testify-publicly-damning-report-revealed-bidens-memory-age-issues-report https://babylonbee.com/news/man-ruled-too-senile-to-stand-trial-still-fine-to-run-country https://fortune.com/2024/02/09/joe-biden-memory-confuses-egypt-mexico-press-conference https://www.documentcloud.org/documents/24414255-report-from-special-counsel-robert-k-hur-february-2024 https://www.usatoday.com/story/news/politics/elections/2024/02/13/kamala-harris-says-shes-ready-to-serve-as-president/72581992007 https://www.nytimes.com/1997/02/05/opinion/a-fateful-error.html https://twitter.com/wikileaks/status/1497207251785818114 https://www.nytimes.com/2024/02/09/us/politics/biden-putin-tucker-carlson-peace.html

Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.

• 0:00Jason Calacanis?

  Tax half tequila.

• 0:01David Sacks?

  I tasted 10 samples the other day. One was heads and shoulders above the rest, which was a good sign.

• 0:08Jason Calacanis?

  Oh.

• 0:09David Sacks?

  So now we're taking that and making it the new baseline and I'm going to try 10 more samples and we're going to go from there. I think we're very close to having something excellent.

• 0:17Jason Calacanis?

  Great.

• 0:18David Sacks?

  And then I did a side by side taste test of the sample I like the best compared to Clasazul Ultra and it was already better than Clasazul Ultra, which

• 0:28Jason Calacanis?

  Really?

• 0:28David Sacks?

  retails for like 3,000 a bottle.

• 0:30Jason Calacanis?

  Really?

• 0:31David Sacks?

  Yeah.

• 0:31Jason Calacanis?

  Holy [bleep].

• 0:32David Sacks?

  So it's going to be better.

• 0:33Jason Calacanis?

  V1's better than their final product is what you're saying?

• 0:36David Sacks?

  Yes.

• 0:36Chamath Palihapitiya?

  And that was not just your taste test, but like you and several people?

• 0:40David Sacks?

  It was me and two other guys who I trust. So we did it together.

• 0:43Chamath Palihapitiya?

  Now, when you say trust, do you mean underlings or do you mean actually like?

• 0:47Jason Calacanis?

  No, he means alcoholics. Yeah. Where in your pay hierarchy are they? He recruited them at Alcoholics Anonymous in West Hollywood. Are they level two employees or level four employees?

• 0:57David Sacks?

  No, one works for me and one's a consultant.

• 1:00Jason Calacanis?

  I'll say both of them. So they're both on the payroll.

• 1:19Jason Calacanis?

  Okay, are we over or underestimating the impact of the AI boom? Nvidia's been on an all time heater. If you don't know, its market cap is now 1.8 trillion Friedberg. This week, it surpassed Google and Amazon as the fourth most valuable company in the world. There it is, folks. Right behind Saudi Aramco. 16 months ago, stock was trading about $112 a share. Since then, share price has gone up 6.5x on a big number. Shares went higher this week after it was reported that Nvidia plans to build custom AI chips with Amazon, Meta, Google and OpenAI. In other news, Financial Times reported OpenAI hit a $2 billion run rate for their

• 2:04Jason Calacanis?

  reoccurring revenue. It's about 165 million a month and they think they can double that number in 2025. Tons of competition coming out. If you didn't see, Google rebranded their generative AI suite to Gemini and they're charging 20 bucks a month for it. And then there was this bizarre Wall Street Journal headline that Sam was going to raise $7 trillion. That makes no sense. Maybe that was the TAM. We'll get into that. Free Bird, your thoughts on this ascension? Are we underestimating or overhyping AI?

• 2:35David Friedberg?

  I mean, it seems like the compute build out is underway. So this is going to continue for some time. I think the real question that keeps getting asked is, you know, when do you really see the tides recede? And what's, what's there? The compute build out is underway, but are we seeing application and productivity gains associated with the capability of that compute? Some would say yes, some would say no, but you've got to build out the infrastructure. If you're going to assume that there's going to be these productivity gains in the application layer. And everyone's assuming they'll be there. So we need to meet the demand, which is almost like building out an entirely new internet. And so the core of AI is this matrix multiplication problem.

• 3:21David Friedberg?

  You need these chips that do that really efficiently. They're not traditional CPUs, which are general purpose chips, but they're chips that are very special purpose for a particular set of applications that render the output of whatever model is being run. It's sort of like the internet, like you could pretty much create a bogey of any number on how big this can get. At the same time, you're seeing some of the other players with different architectures and potentially that are going to be beneficiaries of this build out because they're participants in other parts of the data center for alternative solutions like ARM. And I don't know if you saw this, but in just the last couple of weeks or last week or two, ARM's valuation doubled. It's come down a little bit since that big doubling.

• 4:04David Friedberg?

  Today ARM is sitting at 140 billion valuation. Last week it got as high as 156. And remember, it was only last August. So if you guys remember ARM was bought by SoftBank and the Vision Fund. And then I think 25% of ARM was held by the Vision Fund and 75% was owned by SoftBank. Last August, SoftBank bought from the Vision Fund, the 25% that the Vision Fund owned, at a valuation of 64 billion. But now SoftBank owns 90% of ARM, the last 10% trades publicly. So at $140 billion valuation, SoftBank's position in ARM is 125 billion.

• 4:45David Friedberg?

  And I think it really begs the question, did Masa have a masterful move here yet again? Because everyone said for years, with all the bets this guy was making in the Vision Fund and some of the misguided bets he was making with SoftBank and the leverage he was applying on himself and SoftBank to deploy all this capital during the ZIRP era. Everyone was saying, you know, this guy had a one hit, it was Alibaba and that was it. And clearly he doesn't know what he's doing. But now, all of a sudden, his bet on AI was fairly prescient. And it's paying off pretty powerfully. He bought the whole business for 32 billion. And now he has a stake that's worth 125 billion, seven years later. Yeah, I mean, chip in a chair, right? Well, it's really begging the question.

• 5:29David Friedberg?

  You only need one, the power law, right? When you're making a long-term investment, you can very easily look like a moron over the short term. And to your point, the power law, all it takes is one of them to work out and it can wipe out the losses on the rest of the portfolio. And we may be seeing Masa with his whole AI vision story that he's been telling for seven years, we may see Masa clawing his way out of the hole.

• 5:51Chamath Palihapitiya?

  You only look like a moron to losers. Meaning, when people were throwing shade at Masa, it wasn't anybody that's any good. I didn't see headlines that said, John Malone thinks Masa is a fraud. Warren Buffett thinks Masa is a fraud. Nobody was saying that. Because those guys know what the game is. And the game is exactly what you said, J. K. You must always survive. And you need to keep your wits about you. And over time, if you're prepared and do enough good work, you'll get waves of good luck that amplify your hard work. And Masa is an example of an incredibly talented person that has found a way to survive, more than anything else. And so waves of success will hit him.

• 6:36Chamath Palihapitiya?

  The people that complain are the ones that are sort of a little bit stuck on the sidelines and are more frustrated with their own impotence and inability to do anything. Now, on ARM specifically, the thing that I would keep in mind is that those guys floated, I think, about 15 million shares. So there's about 145, 150 million shares outstanding, 90% owned by them. So there's about 10 or 15 million shares outstanding. And there is about 12.5 million shares short going into the earnings report. And so the thing to remember is that there was almost an entire turn of the float that was short.

• 7:14Chamath Palihapitiya?

  So I don't know how much of this reaction was just an enormous short squeeze of people that were largely long other chip companies and so they thought they could short ARM, essentially as a spread trade to minimize volatility. But this is an example of where if you don't do this analysis properly, GameStop was another, where you misjudge or you sub-analytically look at the actual share count and what's actually free-floating, you can get caught on the wrong side and these things can be very violent.

• 7:47Jason Calacanis?

  And to explain the float to folks, you can make a certain number of shares available to the public to trade. When you have a small number of those, correct, Chamath, available to the public, weird things can happen because there's not enough available to short.

• 8:02Chamath Palihapitiya?

  That's exactly right.

• 8:03Jason Calacanis?

  And so that could have been the situation here with this run-up. But I think the overall point of placing bets and being a capital allocator is the important one to discuss here. Sax, what are your thoughts on all the crazy bets that Masda made? We watched a lot of our companies or companies adjacent to our companies get massively overfunded. Some of them literally got drowned in capital, but then you only need to hit one and maybe win it all back. What are your thoughts on this high alpha betting style of his?

• 8:35David Sacks?

  Look, I mean, he's a gambler and he is playing a power law, so he only needs one really big return to basically make up for all the mistakes and it seems like he's hit that.

• 8:46Jason Calacanis?

  Once again, he did it with Alibaba too, right?

• 8:48David Sacks?

  Yeah, I mean, he's a major gambler. Most people would be a little bit more risk averse. I don't think it was a great strategy to be pumping $500 million checks into what were effectively seed companies like they were doing with the Vision Fund. However, obviously, he made enough good bets that they're going to pay off that fund.

• 9:06David Friedberg?

  Well, it's a good point, Sax. I mean, none of the big, I don't, I probably need to be careful because I'm not super familiar with the portfolio, but it doesn't seem like any of the big winners were those seed bets. Like, he doesn't have any returns coming out of that kind of investment strategy.

• 9:23Jason Calacanis?

  DoorDash.

• 9:24David Friedberg?

  DoorDash. Yeah. DoorDash was not, like, what point did they invest?

• 9:27Jason Calacanis?

  Billion or $2 billion round was?

• 9:29Chamath Palihapitiya?

  Yeah, pretty important moment. We've heard at dinner, Jason and I, at dinner, we've heard the waterfall from the SoftBank side, and it sounds like it was an enormous number.

• 9:40Jason Calacanis?

  Yeah, that was definitely their.

• 9:42David Friedberg?

  But it was a de-risked business. It was a scaling business. Seems a little different than some of these companies that were fairly early on, that got monster valuations and large chunks of capital, and then struggled to find ways to deploy that capital, which led to unhealthy behavior.

• 9:59Chamath Palihapitiya?

  I think the thing you have to give him a lot of credit for is it's so easy to give up when the peanut gallery is chirping. And so, the thing that you have to give him a lot of credit for is he has the ability to tune those people out. Now, he probably isn't even living in a world where any of those people, that chirping even gets to him. And I think that that's a very important thing. But kudos to him. I mean,

• 10:25Jason Calacanis?

  Yeah.

• 10:26Chamath Palihapitiya?

  to be able to tag something for 100 billion here, 70 billion there. I mean, keep swinging. And by the way, at the end of it all, what is it going to change for him? Absolutely nothing, except he'll have some incredible stories to tell about the vol that he took and the roller coaster ride he was on. And I think that's going to be the most valuable thing. He's going to be able to tell his grandkids these stories, and their eyes will just be like, what? And his friends, you know, I mean, I would love to have a dinner with him.

• 10:53Jason Calacanis?

  Yeah, let's do it. We should have him on the pod. Come on the pod, Masa. Let's talk about it.

• 10:57Chamath Palihapitiya?

  I've only met him once, but I have a great story to tell about Masa when I was at Facebook. I met him once. But anyways.

• 11:01Jason Calacanis?

  Go ahead, tell it. I mean, can you tell it?

• 11:04Chamath Palihapitiya?

  All I'm saying is I would love to have dinner with him because I just want to hear these stories of all, like up and down and up and down and amazing.

• 11:11Jason Calacanis?

  I had two lunches with him. We had lunch one day. We had such a good time. He said, can we have lunch again tomorrow? How long are you in Tokyo? I said, yeah. And I came back the next day and I had lunch with him.

• 11:20Chamath Palihapitiya?

  Oh, that's amazing.

• 11:21Jason Calacanis?

  And it was great. Like talking two, three hour lunches where we're just talking about every web 2.0 company. This was in, you know, the 2009 Uber kind of Robin Hood period. And he was just fascinated by what was going on and all the disruption happening. DoorDash Series D, 1.4 billion dollar post 2018 he did.

• 11:39David Friedberg?

  Well, the question I was asking is like DoorDash was a lot like an arm. There's a point of view that the business is proven that there's a market that it can grow into, that there's a management team that knows how to deploy capital versus a lot of these early stage bets, where when they got too much money, they ambled about, well, they didn't amble about. They kind of.

• 12:02Chamath Palihapitiya?

  Incinerated it.

• 12:03David Friedberg?

  Incinerated because what do I do with this money? I don't yet have a machine or an engine that can grow with this money. And until the engine can handle the capital.

• 12:10Chamath Palihapitiya?

  Pizza thing, like the pizza thing.

• 12:12Jason Calacanis?

  Zoom Pizza you're talking about. Yeah. I mean, if you give.

• 12:15David Friedberg?

  There's dozens of them in that portfolio, right?

• 12:17Jason Calacanis?

  Yes.

• 12:17David Friedberg?

  If you don't have a business that can handle the gas you're putting in the tank, the engine's going to blow up. The engine has to grow. It has to build. The volume has to build so that it can actually handle the fuel. And I think that's been part of the challenge. And I will just say, I've said this in the past, but there was an era in Silicon Valley that started around 2010, 2009, kind of right after, right as, right as web 2.0 was starting to venture into more traditional markets, meaning tech companies were becoming other companies, kind of the mobile, local. Era was kicking off. And there was a strategic concept that got popular in Silicon Valley on take the market, which is when you feel like you could be the winner,

• 13:00David Friedberg?

  give the person all the chips and say now go over bet and take the whole market because these are going to be winner take all or these could be winner take most markets. So get first mover advantage. Here's more capital than you need. And I remember being pitched this when I was raising my series B that I should raise more than I was trying to raise because I should use the extra capital to take the market. And then that mantra just became the de facto standard, which is, oh, you have something that has something. It has some edge. It has some advantage. It started to move in the market. Here's a ton of capital you don't really need. Now go take the market. And the reality is most of those businesses had absolutely no way of using that capital to quote, take any market.

• 13:40Jason Calacanis?

  To your point.

• 13:40David Friedberg?

  Because they didn't even know what their market was yet.

• 13:42Jason Calacanis?

  Yeah, they, when you're in the product market fit phase and you don't have the engine, as you called it, how do you make the engine go faster? You're literally trying to take a bunch of car parts and then run a Formula One race. The car's not even track worthy yet. And Cetera, not to pick on any companies, but I remember Cetera, which was doing construction and they just thought they're going to take over the whole construction industry with this company. Raised like $900 million and I believe it's a zero the whole way. You cannot, you can't put the money to use. Capital as a weapon maybe works if you're Uber, Lyft and DoorDash and you have customers and you can reduce the price, but.

• 14:20Chamath Palihapitiya?

  Well, you know, what's interesting is when you now look at all a bunch of these AI companies, every day, what you see is every round is a minimum of $100 million. But the dirty little secret is not that these companies have found product market fit or are scaling revenue massively. I'm not talking about OpenAI. I'm talking about these other long tail businesses.

• 14:42Chamath Palihapitiya?

  The hundred million dollars is largely going to compute. But as we know, and I think we'll talk about this next week when all these announcements are done. But you're about to see a one tenth thing of the compute cost. And so what's interesting for those companies is they're going to be left with a lot more money. But back to Freebrooke's point, they may be ambling about with too much money at that point. So today you raise a hundred million dollars because you need to spend 70 or 80 on compute. Tomorrow, when you only need to spend seven or eight for the same amount of throughput. On one hand, you could say, well, this is great. I have so much more money I can spend. But again, we've seen example after example where if you raise too much money when you don't need it, you will just run yourself into a brick wall. You'll over hire, you'll miss hire, you'll misallocate.

• 15:27Chamath Palihapitiya?

  And it just goes back to the same thing that we've said before, which is there's just not enough people that actually know how to run companies.

• 15:33Jason Calacanis?

  Yeah, and it just becomes a huge distraction. Did you see Sacks today? Sora, did you see Sora? Good try by OpenAI.

• 15:39David Sacks?

  This is breaking news right now.

• 15:40Jason Calacanis?

  Yeah, this is unbelievable. If you haven't seen it, Sora is the text video model from OpenAI. They've been talking about this. I guess this would compete with. Staple diffusion do video as well? Anyway, you give a prompt. I'll just read this one out loud. Beautiful snowy Tokyo city is bustling. The camera moves through the bustling city street, following several people enjoying the beautiful snowy weather and shopping at nearby stalls. Gorgeous sakura petals are flying through the wind along with snowflakes. And this, if you weren't studying it, would look like a major feature of film or TV show. Yeah, Sacks?

• 16:22David Sacks?

  Yeah, I mean, it's unbelievable. I mean, it looks to me like 4K video. I mean, I'm not sure it actually is 4K, but it looks pretty darn close.

• 16:30David Friedberg?

  Yeah, the rendering resolution can be whatever you want it to be.

• 16:34David Sacks?

  Right, the fact that you can describe the way that you want the camera to move.

• 16:38David Friedberg?

  So I'm going to speculate on this. You guys know I talked about this quite a while ago on how I think we're going to be a prompt to video, meaning people are going to have personalized video games and personalized movie experiences and music eventually. Where rather than everyone watch the same product made centrally by a producer, we'll all make our own product locally. I spent some time digging into this over the last year. And the big challenge was that the traditional approach for rendering video is you create three dimensional objects and then you have a rendering engine that renders those objects. And then you have a system that defines where the camera goes. And that's how you get the visual that you use to generate a 2D movie like this.

• 17:19David Friedberg?

  And the best tool out there is Unreal Engine 5, which is made by Epic Games. I don't know if you guys have ever seen the demos of it, but I've seen it.

• 17:25Jason Calacanis?

  Is that what Star Wars uses with their like virtual sets now when they did the Mandalorian? I think they're using the Unreal Engine or Unity.

• 17:32David Friedberg?

  They probably are. And then there's other tools. If you're in movie production, you'll use different stuff, but Unreal Engine is just so incredible. But it requires the placement and the rendering of 3D objects. So where do those objects go? And then the physics of the light moving off those 3D objects to generate a 2D video is pretty straightforward. That's been done for 20, 30 years. And so the density, the rate of improvement, the color contrast, et cetera, has all improved, made it look incredible. Now it's super photorealistic and create photorealistic video. But it still requires this concept of where are the 3D objects in 3D space? This doesn't do that. This was a trained model. So we don't know what's going on in the model. So how would you train a model to do this without having a 3D space?

• 18:18David Friedberg?

  Because clearly there's thousands of objects in that rendering. If you look at that video, thousands of little objects. The compute necessary to define each of those objects, place them in 3D space is practically impossible today.

• 18:31David Friedberg?

  So this is being done through some model that starts to render all of these things together. So it is very likely, my guess is that OpenAI used a tool like Unreal Engine 5 and generated tons and tons of video content, tagged it, labeled it, and were then able to use that to train this this model that can, for whatever reason that we don't understand,

• 18:57Jason Calacanis?

  make the output.

• 18:58David Friedberg?

  But what's interesting is that this output underneath it-

• 19:02Jason Calacanis?

  You're referring to synthetic training data.

• 19:04David Friedberg?

  And yeah, exactly, exactly. And but what's amazing about this model is that underneath this, this model on its own has rendered physics. So all of the rules of physics, all of the rules of motion, all of the rules of perspective, all of the rules of how objects sit upon one another, next to each other, how fluids move. If you look at some of the other demos on this tool, you can actually see fluid moving. It's rendering the movement of fluid or rendering the movement of hair. Those are like physics models that would typically be deterministically written, meaning that a programmer, an engineer writes the physics and then the Unreal Engine renders the physics. In this case, the model figured out the physics. And the model probably did it in such a reduced way

• 19:47David Friedberg?

  that you could use a reduced amount of compute to generate something that would otherwise take a ton of compute time. I mean, look at this. It's truly amazing.

• 19:54Chamath Palihapitiya?

  Nick, find the one of Golden Retrievers playing in the snow. This is way better than this.

• 19:58David Friedberg?

  But what's amazing is that the, and by the way, if you're listening to this, I really recommend going on Twitter and typing in OpenAI, Sora, S-O-R-A, and looking at some of these demo videos. It's bonkers. And I think it really speaks to what's so incredible right now, which is that software is writing itself and it's replacing a lot of human determinism. The way that humans think about constructing software is being completely redone with these learn models. This model learned physics on its own and it renders this thing that looks like the only way we know how to do this today is to create 3D object models in 3D space and use tons of compute to render the-

• 20:33Jason Calacanis?

  And just to translate that from geek to, you know, people listening.

• 20:39Jason Calacanis?

  This is incredible because Pixar spent years, maybe a decade, trying to figure out hair. I remember talking to Ed Catmull and he told me hair was just so hard to get right with wind and lighting. They'd literally built the physics engine for years, like maybe even a decade to make hair cross the uncanny valley. What you're saying here, Friedberg, is somehow this language model, this image model, just outputs it. And it doesn't actually have a physics model. It just outputs it, correct?

• 21:07David Friedberg?

  Yeah, it, well, we don't know, but the model, there may be some determinism built into it. So, so I don't want to assume anything. But the general approach, determinism means you write the physics and you write the formula of the physics.

• 21:22Jason Calacanis?

  Yep.

• 21:22David Friedberg?

  So that the software can execute the physics and render the thing. But in this case, it may very well be the case, like a lot of the other models that are being trained today. When you create a model that are trained, that it's being trained and on its own, it resolves to figure out how to do the physics.

• 21:41Chamath Palihapitiya?

  Is there a limit on the length of these Sora videos that you can generate?

• 21:46David Sacks?

  It's one minute right now.

• 21:47David Friedberg?

  60 seconds today.

• 21:48David Sacks?

  Obviously, that'll come off at some point.

• 21:49David Friedberg?

  But by the way, if you can do 60 seconds, you can do two hours.

• 21:52David Sacks?

  Right. The problem that you have is, I mean, if we're talking about creating a movie, is making edits. So, I mean, obviously I haven't used Sora yet because it just came out today, but I've used Dolly, which is just their prompt image service. And I was designing the label for, or the bottle for the all-in tequila for you guys.

• 22:12Jason Calacanis?

  Yeah.

• 22:12David Sacks?

  And what I noticed is that it would spit out a bunch of ideas. And then I would take one and then want to just make little changes. And I would just say, okay, keep this, but just change this one detail. It would give me a completely new image. So, the AI doesn't realize the layers inherent in what it's producing. Somehow it takes this prompt and generates a response. And if you give it that same prompt 100 times, it'll give you 100 different answers. And if you'd say, just modify this, this, or this, it can't do it.

• 22:45Jason Calacanis?

  Can't reason. It can't take criticism.

• 22:47David Sacks?

  Well, it seems It's like on some level, it's unaware of the output that it's created. Again,

• 22:52Jason Calacanis?

  Yeah.

• 22:52David Sacks?

  A human creating this in Photoshop would have a lot of layers and every object in that image would have its own layer and you could have a layer for text and just quickly modify the text. When I want to do something as simple as edit the text or change the font, again, it would give me a completely different image. And I just wonder about these videos. If you want to create a movie, I think you're probably going to be stuck with like the what they give you and then maybe you can import that at some point into an Unreal Engine and then do work from there.

• 23:24Jason Calacanis?

  The editing part is it doesn't exist yet. When you do text, it's easy because you just you cut and paste it into your Grammarly or your Notion or whatever you use and you start editing. Here, there's no exporting, like you're saying, to Final Cut Pro or something.

• 23:38David Sacks?

  I bet that when they turn this into an API, that when you're working in Unreal Engine, you know, if you're like a VR designer or something like that, or you're like a filmmaker, you could probably just get started with a prompt and that could be

• 23:54David Sacks?

  hugely time-saving if they can make that integration work. I think that's pretty interesting.

• 23:59David Friedberg?

  I looked at this a lot over the last year. This was one of the biggest challenges is in order to have an interactive approach to video production or video game production, you have to be able to say, we'll take that out, put that in. But like, like you said, the model doesn't distinguish the objects. It doesn't distinguish each of those little flowers or each of those little cherry blossoms or it doesn't even distinguish that there's two people walking down the road. The model doesn't have this concept of objects when it renders. And so the traditional model where you have objects in a 3D model that then get rendered into a video allows you to do those sorts of things. So what may end up happening is a fusion, and this is something we talked about with Stephen Wolfram and others,

• 24:44David Friedberg?

  that there are these models that are called compute models that do deterministic compute tasks. Then there are these

• 24:52David Friedberg?

  AI trained models where we don't really have a sense of how they work. But the fusion of the two will unlock a lot of opportunities. And that's very likely the next generation of models is not just purely non-human intervened trained models, but the integration of those models with these deterministic models, with these compute models. And then you can start to do things like instead of saying, hey, render this whole scene. You're saying render all the objects that would go in the scene. They get placed in an Unreal Engine. And then the Unreal Engine outputs the video. And so that integration work, I think, is the next big phase in AI model development. And that'll unlock like insane.

• 25:29David Sacks?

  Yeah, because right now you can't use this to create dialogue, like actors in a movie scene, talking to each other and acting, especially like closeups of those actors with their facial expressions. I don't, at least I don't see any examples like that.

• 25:44David Friedberg?

  The way humans want to have a creative process, it doesn't work. That's right.

• 25:47Jason Calacanis?

  Yeah, it'll get there though. And if you put something like this out there to the public and said it's 20 bucks a month to do this or 50 bucks a month. You can have a lot of consumers who want to buy this product. So when I see this, I think people are going to pay for this. And then going back to Nvidia or ARM. Okay, more infrastructure to your point, Friedberg is like, what infrastructure do we need for everybody to have Pixar on their laptop? Or on their, you know, phone? And people, people are willing to pay for these.

• 26:17David Friedberg?

  I don't know if you guys saw this, but there was another big breakthrough announced today with the the new Gemini Pro 1.5. Can you just pull up Sundar's announcement on it?

• 26:24Jason Calacanis?

  Yeah, Sundar now has found the password to his Twitter handle. He's tweeting.

• 26:29David Friedberg?

  Yeah, the reason I want to talk about this, if you just scroll down. So when you prompt an AI model, you put in a certain number of words into like an LLM model today and it's words back out. The more words you put into the model, the more compute intensive or challenging it is to do the compute work needed to render the output. So OpenAI, their GPT for Turbo Model.

• 26:54David Friedberg?

  Has 128,000 tokens, which means about 128,000 words can be fed into the model to get an answer back out. So you could put like a whole essay or 100 pages of text and it will read a document for you. You can get a whole book and it could give you a summary in a couple of seconds. What Google just announced with Gemini 1.5 Pro is a 1 million token context window, up to 10 million token context window in total. I don't know what's going on here because the problem is the way these models are kind of traditionally built is that that creates a nonlinear scaling and compute needs to be able to increase that that context window like that. So there is some architectural work that's gone on

• 27:36David Friedberg?

  to allow these models to scale up in a way that we did not think possible when these models first came out, which is crazy to think was only like 24 months ago that they started to get kind of looked at like this.

• 27:45Jason Calacanis?

  18 months maybe.

• 27:46David Friedberg?

  Yeah. And so there's two kinds of things that are happening. One is that these models are getting chopped up in a way that you can run small models in a highly trained way locally and you don't need a massive general purpose model. And so that's going to make compute needs very small for very specific tasks. And the other one is that there's other architecture that's happening in deploying the models that's allowing massive context windows like this. So it totally changes how scalable they are with the same number of chips or the same amount of compute or the same amount of power. So there are all these amazing Moore's Law effects happening right now in AI technology development on the chip level and the architectural level and the how they're being built and how they're being deployed that completely changes the concept that I think most folks had when these first came out two years ago and the potential. So I think sky's still the limit.

• 28:31David Friedberg?

  We don't really know how big this is going to get. But all of these efficiency gains mean that we can do so much more with so much less. And by the way, when you can do more with less, it doesn't mean you need less chips. It means you need a lot more chips because the fact that you can do a lot more with much fewer chips means everyone's going to want to do it now. More people can afford to do it. So it unlocks the opportunity for for compute. And so it really starts to rationalize the Nvidia thesis that it could be worth $10 trillion potentially.

• 29:01Jason Calacanis?

  For people in the audience to understand what this context window means.

• 29:04David Friedberg?

  I'm sorry if I was too technical.

• 29:05Jason Calacanis?

  No, no, no, no. I'm just, I always like to just give an example or two after you explain it. The context window.

• 29:12Jason Calacanis?

  For example, you could upload the transcript of this podcast, right? And there were only certain services like Claude, maybe where you could put a PDF attachment. Boom, you put it in there and say, hey, summarize this using your language model and using this content. Now you could be able to say, hey, take me every Mr. Beast video. Take me, you know, take the top 10,000 videos on YouTube, take the transcripts, summarize them for me. Give some analysis on it. And that was only available to developers prior to these large context windows being open. And that's going to just open up a massive amount of application, right, Shama?

• 29:47Chamath Palihapitiya?

  The results are actually not that much better. There's these third-party service benchmarks. Lombard is probably the most often referred to. But what you see, if you just look at, for example, all the GPTs, even as they increase the number of parameters in a model, the quality of that model doesn't necessarily increase with the rate of parameter increase. So you have this thing of a little bit of diminishing return, which is more a problem of what we said before, which is eventually, when you're scouring the open internet, it doesn't matter how fast or how, how big you scour the open internet. The open internet is a bounded space and so you get the same answer. So all of these things are, they're interesting marketing ware.

• 30:27Chamath Palihapitiya?

  But I would just encourage us all to keep in mind that the shift is not necessarily these kinds of things. It's kind of like saying, you know, in a chip like, oh, wow, we built this chip on three nanometer. Okay, what does it mean?

• 30:42Jason Calacanis?

  Well, no, I think the piece respectfully, you might be missing here is like your proprietary data might not be in that language model. So by having this context window and you can add something that you have on your hard drive.

• 30:54Chamath Palihapitiya?

  That's not how it works. So my point is the context window is not correlated to the quality of the model outputs.

• 31:00Jason Calacanis?

  Correct, but consumers and business users haven't been able to put their data into the models.

• 31:06Chamath Palihapitiya?

  But that has nothing to do with the context window. That existed when the context window was smaller, that that's what you think you do things like RAG with.

• 31:12Jason Calacanis?

  Right, but most people don't have access to that. This is like consumers can now just take something off their hard drive.

• 31:17Chamath Palihapitiya?

  I understand what I'm saying. RAG is different than what this is.

• 31:21Jason Calacanis?

  Okay.

• 31:21Chamath Palihapitiya?

  Like this is, this, what, what you guys just spent all this time talking about is equivalent to saying, I built this chip with, on a seven nanometer process or a three nanometer process. And what I'm saying is it is technically more burdensome, as Freebrooke said. It's technically much more sophisticated and complicated.

• 31:41Chamath Palihapitiya?

  But the the translation to quality in the consumer is not what that means. So a three nanometer chip is not two times better than a seven nanometer chip for the consumer. Similarly, a context window that's five times bigger than the one before it doesn't make a model five times better to the consumer. These are orthogonal ideas. It's not to say that it isn't an important thing, but I would say that it's a reminder for me that we're in the early phases where there's a lot of hay that people can make. But it's important to look at these third-party benchmarks that try to sort through and sift through what matters and what doesn't matter. And one of the interesting things that third-party

• 32:26Chamath Palihapitiya?

  benchmark services have figured out is that irrespective of the exponential growth of these things, like parameter size, quality is only growing linearly and now sublinearly. So it's just an interesting point.

• 32:40Jason Calacanis?

  I understand your point now. My point is, man, when you are a consumer of this, and I've been talking to people trying to get their data into, you know, the context window to be able to ask a question, they're always like, how do I put more in there? How do I put more in there? And then these language models, because of the copyright issues, they're not able to upload Blade Runner and then say, hey, make me something. But I was able to, and just to give a very real example, I did a podcast around the Ray Kroc movie, The Founder, that we were referencing earlier. I uploaded the screenplay, I found a PDF of the book, and I found two other, like, essays about Ray Kroc, like, HBS studies. And I said, give me like a timeline of it. And I used something called Google Notebook,

• 33:24Jason Calacanis?

  which has a big context window, and you can upload all this stuff. And that's where I'm seeing consumers and what these things are capable of vis-à-vis the context window. It just unleashes in people's minds so many applications that you can do.

• 33:38Chamath Palihapitiya?

  There are two examples today that caught my eye that I think are worth bringing up. The first one is from Meta. Meta published this paper today, which was like, pretty crazy. And essentially, what they said is that for the realm of the software worker, the software engineer, What they basically built is this LLM tool that runs over Llama called TestGen. And it essentially does automated unit testing to such a high degree of accuracy. So, you know, in the software development, if you want to spit out a product, you have to go through this thing where you have to functionally run unit tests and make sure the thing works as advertised. And this paper essentially now allows you to traverse a codebase, understand it, generate these unit tests with high accuracy.

• 34:22Chamath Palihapitiya?

  So where is this valuable? Think of, remember the software bugs in like the Boeing 737 MAX issue, JACAL? Where it turned out that it was just bad software? Tools like this now will be able to run unit tests where you will not be able to get that plane out the door unless all of these functional unit tests not only have been written, but run and have been passed successfully. And it'll all be done by bots, which means that you can't game that system. So that's something today that

• 34:53Jason Calacanis?

  And it's the last thing developers get to is writing the unit tests, right? It's always like

• 34:56Chamath Palihapitiya?

  Which is why there's all kinds of bugs and security holes in code. Now, I thought that that was a pretty large breakthrough, and I think we're going to go through a bunch of fine tunes on this that make it interesting. And then I saw this other thing which caught my eye even more, which was this thing that Nat Friedman tweeted out, which is this thing called magic.dev. And what essentially it is, is like a coworker. And what they are claiming, and I don't know if it's true, is that now you can basically have this thing understand your style of code and actually be able to write code that is just as good as the way you write code. So now it's not a co-pilot, but effectively a coworker. And this is the first real example of what I've seen of a claim that basically says,

• 35:41Chamath Palihapitiya?

  hey, you know, we can now be an add-on to your workforce. And this to me is just so gargantuan because like if you look at the amount of OpEx inside of any company that sits inside of R&D, if you look at the amount of stock-based compensation, right? If you replace humans with bots, which is what this is, you're going to crush those things. SBC at the limit goes to zero because you don't have to give stock to a bot, right? You don't have to give stock to people. And OpEx gets shrunk because now you just pay a license to magic dev or I don't know how they're going to make money on this, but really, really, really fascinating stuff. It is a scary.

• 36:25Jason Calacanis?

  Well, there was another open source project. I think it's called Maggie, M G I E. I don't know if you saw that framework, but Apple has been working on an open source image project. And so you're kind of going to see, I think in iOS 18 or the next iPhone 16, they're going to have an image model on.

• 36:43Chamath Palihapitiya?

  Jake out on that phone. Where is, where is Apple in all of this? It's unbelievable.

• 36:47Jason Calacanis?

  No, they, they're.

• 36:48Chamath Palihapitiya?

  Where are they?

• 36:49Jason Calacanis?

  They are building an image model and you're going to be able to talk to your phone and say.

• 36:54Chamath Palihapitiya?

  They haven't announced anything.

• 36:55David Friedberg?

  I think you're going to see a chip on the next set of mobile devices.

• 37:00Jason Calacanis?

  Hundred percent.

• 37:01David Friedberg?

  By Apple that will run models locally.

• 37:03Jason Calacanis?

  Yep.

• 37:03David Friedberg?

  And so this goes back to the point about how the hell is the government going to regulate AI models, which is the stupidest thing I've ever heard. Well, not the stupidest is probably, you know, probably top 20. But the fact that they're going to like be able to be fully vertically designed, that they can have the hardware and the software and integrate all the way through to the application layer, they're going to have, I would imagine, incredible intuitive AI features built into all of their products that can run locally rather than all the other stuff that's going on where you've got to make a request on the internet and get the results back over the internet. It'll be pretty powerful. But obviously no data, right? We don't know what they're doing. We're just speculating here.

• 37:43Jason Calacanis?

  Well, no, I mean, you have breadcrumbs and the breadcrumbs are they have an image model and I just dropped in the hugging face of it. You can basically upload an image and just give it a text prompt of how to change the image. So, you know, if Nick were to use this, he could upload a picture of you to him off and say, you know, give him five o'clock shadow, give him a mustache, whatever.

• 38:01David Friedberg?

  And Nick, Nick, will you do that real quick while we're talking?

• 38:04David Sacks?

  While you're doing that, can you bring up the video of the robot's life in a cyberpunk setting?

• 38:10Chamath Palihapitiya?

  It's beautiful.

• 38:10David Friedberg?

  Is this a Sora rendering?

• 38:12David Sacks?

  Yeah, this is Sora.

• 38:13Chamath Palihapitiya?

  So beautiful.

• 38:14David Sacks?

  It's really cool. So, but here's the, the limitation. And this goes back to what me and Fer were talking about earlier. Okay. So you've got these people in the background. Let's say that you're trying to make a movie.

• 38:25David Friedberg?

  Their feet are backwards, by the way. You can see the human feet aren't correct. Sort of like a volley problem.

• 38:28David Sacks?

  Yeah. I mean, what's cool is that, okay, so those cars aren't moving. They're static. You've got some movement of these background people, right? At least so.

• 38:39David Sacks?

  They're kind of, they're the extras in a movie. But if you wanted to tell Sora, this is my guess, that, okay, I want the people in the background to be doing this, it would render a whole different image. Like, your robot might change too, right?

• 38:53David Friedberg?

  Well, Sax, this is where your context window matters. So if you repeat the statement, if, instead of writing and then iterating, if you just re-prompt it and your prompt got longer and longer and longer with the degrees of specificity you needed, that's the way you use these models today. And to your point, what humans are looking for from a UX perspective is an iterative approach to rendering, is an iterative approach, which isn't feasible in a world where the, this, this is all a matrix. It's a three-dimensional matrix. There's two dimensions of pixels, and then the third dimension is the next image and the next image and the next image. And so that matrix is re-rendered from scratch. It doesn't have a concept of what are the objects that I'm rendering. It has a concept of a matrix of pixels.

• 39:38David Friedberg?

  And so it will re-render a matrix of pixels based on a redefined prompt. But what you're describing would require a very different model architecture than the way all of these trained models operate today.

• 39:47Chamath Palihapitiya?

  This is going to revolutionize pornography. I think it's the first pla- no, no, I'm not saying it as a joke. I think that's where you're going to see this first, because then all these issues, potential issues of underage people or exploited folks, it goes completely away.

• 40:02David Friedberg?

  Your PR guy's going to cut this.

• 40:05Chamath Palihapitiya?

  No, and, and you know, it, it'll kill OnlyFans.

• 40:08David Friedberg?

  Yeah, I was about to say.

• 40:09David Sacks?

  Porn gambling is where every revolution starts. That's where.

• 40:12Chamath Palihapitiya?

  Exactly. Technological, that's where payments, that's where the web started, that's where payments got refined. But I, I think that in pornography, you're going to see this basically destroy pornography and OnlyFans.

• 40:23Jason Calacanis?

  Well, I don't, I don't want to bring up something, uh, that's super offensive, but there was a certain pop music star who had a bunch of images just a couple of weeks ago that were AI-generated.

• 40:34Chamath Palihapitiya?

  Yeah, AI fakes, deep fakes, right?

• 40:36Jason Calacanis?

  Yeah, there were a bunch of deep fakes of a pop star. I don't, to like, actually highlight the person's name, because then it just, I think, can sense more of it, but.

• 40:44Jason Calacanis?

  X did a really good job of blocking all of them, watermarking them and saying, you can't do this. And so this is like a whole new world. You can take any person on the planet and make porn out of them that is realistic.

• 40:55Chamath Palihapitiya?

  Well, I don't, I don't mean that. I just mean that you'll be able to make pornography in a way that is totally

• 41:00Jason Calacanis?

  Yeah.

• 41:01Chamath Palihapitiya?

  uh, non-human involved, which is generally better, I would say for all humans involved.

• 41:07David Sacks?

  What's great about the deep fakes is that if you have a sex tape come out, you can just say it's a deep fake.

• 41:12Jason Calacanis?

  Totally. I was about to ask Chamath, what is the prompt you're going to use to make love to yourself tonight with the new Sora model? Chamath embraces Chamath.

• 41:22Chamath Palihapitiya?

  All I hope is I may just need to publish some data so that whatever deep fake gets some parts accurate.

• 41:27Jason Calacanis?

  This is Apple? Oh, short Apple stock. This is terrible. It's not very good.

• 41:31David Sacks?

  I thought we were good.

• 41:32Jason Calacanis?

  What is this model? This is an Apple model? It's called Maggie, M G I E. This is Apple's open source image model. It's way behind.

• 41:40Chamath Palihapitiya?

  This looks like GPT 0.1.

• 41:42Jason Calacanis?

  They got work to do, but it's open source. It's going to go faster.

• 41:44David Sacks?

  It's very hard to make fine tune changes in these models or to get the result that you want. But that's fine. This is just a, this is V 0.9. So.

• 41:52Chamath Palihapitiya?

  If you guys want to see a great fine tune, the Juggernaut Excel fine tune.

• 41:56Jason Calacanis?

  Uh oh.

• 41:56Chamath Palihapitiya?

  I would just say, try it. It is a fine tune that does not allow

• 42:03Chamath Palihapitiya?

  bad looking people. The whole, the whole concept is only beautiful people. So it doesn't matter what your prompt is, but these people come out looking the most incredibly good looking people I've ever seen.

• 42:14Jason Calacanis?

  As if the standard wasn't already high enough with filters and everything else, but.

• 42:19David Sacks?

  This is going to be revolutionary for independent film. I mean, this is obviously just tip of the iceberg. But you know, the problem with independent film right now is that the economic model literally doesn't work. It's too expensive to make an independent movie relative to the return. And so.

• 42:34David Sacks?

  The independent movie business is almost dried up, almost completely. This is going to revolutionize it because it'll bring the cost down close to zero. Now, I don't, I don't agree with Friedberg that everyone's going to design their own entertainment because most people are lazy.

• 42:48David Friedberg?

  No, I'm not saying design. Sax, the way you think about creative production processes is what's going to change. It's all going to reduce down to sitting down. And it's like when you ask your spouse or partner or whatever, what do you want to watch tonight? And they answer something, that something will then be delivered to you instantly. That's what's going to be so powerful.

• 43:05David Sacks?

  Well, you, you mean the AI is going to create it on the spot for you?

• 43:08David Friedberg?

  It certainly will, but I, I think that there's a certain element of culture that gets integrated into personal AI. But I've, I mean, I, I don't think we have time for this, but I have like a whole philosophy.

• 43:19David Sacks?

  People still want curation. I mean, if you look at something like YouTube or really any user generated content site, there are roughly a hundred times more people who are passive than people who are active and actually create stuff. Whatever the ratio is, there's always a lot more passive viewers than there are creators. So there's, I'd say most of the content will be created by people who actually care enough to do it. Again, let's call it one or two percent of the population. And then of those, 1% might actually be really good at it.

• 43:48Jason Calacanis?

  Yeah, but here, here's where Friedberg, I think, has a really good point because I have been looking into this. Imagine if you took The Sopranos, something you and I love, Sax, and you just said, hey, for each season, give me 10 more minutes per episode and give me like two more characters or whatever. Now you, when you watch it the next time, you could say, just fill it in. I want every episode to be 90 minutes instead of 50 minutes. Or I've been doing this thing with my daughters. We're into Star Wars and the Clone Wars, et cetera. People have been cutting shows like Andor or Rogue One, Clone Wars, the prequels, et cetera, and The Bad Batch, and they're putting in together like timelines and they're making their new versions of it.

• 44:31Jason Calacanis?

  By super cutting the different series that are filling things in. So you're going to be able to say, hey, tell me the whole Star Wars saga with a little more perspective from Obi-Wan, or give me a little more perspective from this person. And that that's going to just make these things like these franchises so much more watchable and deep and rich.

• 44:49David Friedberg?

  Yeah, so this is my point, Sacks, is I don't think it's about ground up personal media creation. I think that it's about the curation model changes. The creator or the central creative force comes up with a genre with a bunch of characters like a Star Wars and general like arcs of stories. And then you can go in and you can view it from any character's point of view. Imagine watching the Star Wars movie from Darth Vader's point of view. Imagine watching the Star Wars movie where you just stayed on Endor the whole time and you watched the news on the TV while you're hanging out.

• 45:25Jason Calacanis?

  That's your fantasy, you with the you with the Ewoks?

• 45:28David Sacks?

  Yeah. So you're right that there's a great opportunity for some of these cinematic universes to kind of open up the creative assets and let the fan base do whatever they want with them or create, you know, these alternatives. I still think that it's that 1% of the viewership that actually cares enough to do that. And the reason is because that I think what you see with all these demos is that it's really easy to get the first 90%. It's really hard to get the next 9% and then the final 1%. You know, to get to the level of

• 46:01David Friedberg?

  Of course, yeah.

• 46:02David Sacks?

  To get it dialed in to the point where, again, the first thing it gives you.

• 46:06David Friedberg?

  But the the benefits could outweigh those costs. And this is true in 3D video game playing. I don't know if you play Fortnite, but there's all sorts of stuff that you feel could be better, but the overall value of that experience far outweighs the missing elements of it not being truly photorealistic. And I think that's where this stuff goes.

• 46:23Jason Calacanis?

  It's Ski Week next week?

• 46:26Chamath Palihapitiya?

  And I've done this for all, both of my older boys and I'm doing it now for my youngest boy who is four and a half, almost five. We are going to watch this entire week, all of the Star Wars.

• 46:40Jason Calacanis?

  Fantastic.

• 46:41Chamath Palihapitiya?

  And then I got a downloaded history.

• 46:43Jason Calacanis?

  The feature movies.

• 46:44Chamath Palihapitiya?

  All the movies.

• 46:44Jason Calacanis?

  Yeah.

• 46:45Chamath Palihapitiya?

  From, and I got an order. The order was not what I thought. It's not as released, obviously.

• 46:50Jason Calacanis?

  No, you want to do timelines. So you want to have the prequels?

• 46:53David Friedberg?

  I did that once and I will tell you.

• 46:55Jason Calacanis?

  It was super disappointing. Rogue One, uh, the Star Wars, the original sequel.

• 47:00Chamath Palihapitiya?

  Well, you're saying this order is not good. Here's what I was told. This is what was the internet was the most popular. You start with the Phantom Menace.

• 47:08David Friedberg?

  Yeah.

• 47:08Chamath Palihapitiya?

  Then Attack of the Clones, then Revenge of the Sith.

• 47:11Jason Calacanis?

  The Sith, yeah.

• 47:12Chamath Palihapitiya?

  Then Solo is optional.

• 47:14Jason Calacanis?

  Yeah.

• 47:14Chamath Palihapitiya?

  Rogue One optional.

• 47:16David Friedberg?

  Yep.

• 47:17Jason Calacanis?

  Rogue One not optional.

• 47:18Chamath Palihapitiya?

  Then four, five and six, obviously, and New Hope.

• 47:20David Friedberg?

  That's when your kids will lose their mind. They'll be like, what is this? It's like.

• 47:23Chamath Palihapitiya?

  Empire Strikes Back, Return of the Jedi.

• 47:25Jason Calacanis?

  Four, five and six are too slow for kids.

• 47:27David Friedberg?

  Yeah.

• 47:27Jason Calacanis?

  They like the prequels better.

• 47:28Chamath Palihapitiya?

  Seven, The Force Awakens, and eight, The Last Jedi, then nine, The Rise of Skywalker.

• 47:33Jason Calacanis?

  Skip the last three.

• 47:34David Sacks?

  Yeah, the last three are garbage.

• 47:35David Friedberg?

  They fall asleep during four, five, six.

• 47:37Jason Calacanis?

  Yeah.

• 47:38Chamath Palihapitiya?

  God, four, five, six are the best.

• 47:39David Sacks?

  Prequels are probably the most watchable.

• 47:41Jason Calacanis?

  They're very, in, in retrospect, they're great, but there's also the Clone Wars, which is absolutely fantastic. I would sprinkle in some Clone Wars episodes.

• 47:48Chamath Palihapitiya?

  Nat and my daughters, I'm forcing them to sit with us for this entire.

• 47:53David Friedberg?

  Nat's gonna watch all this?

• 47:54Chamath Palihapitiya?

  No, she's ready to shoot herself in the face.

• 47:56Jason Calacanis?

  Yeah, this is her worst nightmare.

• 47:57Chamath Palihapitiya?

  She and my daughters are like this.

• 47:58David Friedberg?

  I put the over under on Nat sticking through maybe a hundred minutes of this. And she's done. She's done.

• 48:04Jason Calacanis?

  Amore, why do you poison the kids with this nerd stuff? They're never going to get a girlfriend. Frederick Fellini, what is this? Not Fellini, this is a. How about they watch something where the people make a love instead of the lightsaber to cut people's hands off? Watching this, exactly. Is there, no, there's no love and joy. Uh, there's uh, people with uh, so like light swords. It's no fun. But to bridge the gap between your two vision sacks and uh, free perks, it's just Nat's voice is so great. Chamath and I will talk when we talk to each other for literally 20 minutes as nat. We'll just have a conversation, but it's a conversation we're having.

• 48:45Jason Calacanis?

  I don't know why Chamath, this deal has such a high interest rate on the convertible note. Why would you do that to me? I'm your friend. Who's going to be on the board? This person looks like a dumb dumb. What's going on? I don't understand. Well, it's an independence, Chamath. You don't need to have a super smart person. This product is the opposite of a white truffle. The white truffle is delicious. This is a product that smells like a poo.

• 49:13Jason Calacanis?

  But anyway, between Sax and Friedberg, we're literally just talking.

• 49:18Chamath Palihapitiya?

  Hey, when are you coming tonight, asshole? Are you making it for dinner or not?

• 49:21Jason Calacanis?

  I have to, I'm not, I'm going to try to make it by dinner. I just have, I have to give a keynote at a podcasting conference.

• 49:26Chamath Palihapitiya?

  Oh my God. Are you, wait, sorry. Are you kidding me?

• 49:28Jason Calacanis?

  No, I'm not kidding. You guys banned me from having advertising here. I have to make cheddar. I got bills to pay. Just because there's an eight in front of the Uber stock price doesn't mean I can retire.

• 49:39Chamath Palihapitiya?

  Will you be there by 7:00 PM or not?

• 49:42Jason Calacanis?

  I'm going to make it by 7:00. Yes, I do. Keep me in.

• 49:45Chamath Palihapitiya?

  So we are going to start dinner when you get there.

• 49:49Jason Calacanis?

  Perfect. I will not do David Sacks time. Okay?

• 49:52Chamath Palihapitiya?

  Thank you.

• 49:53Jason Calacanis?

  But between Friedberg and Dave, you know, Sax, you said it's like 1% or 2% of the audience for, you know, show with a million viewers or 10 million viewers, that could be tens of thousands of lunatics. And I don't know if you knew this, but you remember when Luke Skywalker showed up, spoiler alert, in The Mandalorian? Everybody was like, oh, his young face does not skip the uncanny valley. This is why you gotta watch The Mandalorian. So then some kid did his own AI re-rendering of Luke Skywalker, you know, after Return of the Jedi, but, you know, after he defeats the Emperor, and they then hired that kid to work at Disney and LucasArts. So what's happening is all these people who are making content for the Star Wars universe,

• 50:35Jason Calacanis?

  they are going to be the next generation of creators. So between a Mr. Beast way over here. And LucasArts, there's going to be a new fill-in and it's going to be all these great one percenters making interesting [__] with IP that's owned by other organizations.

• 50:50David Friedberg?

  I think it's a whole new paradigm for media and content. It's going to be so

• 50:54Jason Calacanis?

  The automated stuff. Let's customize for you.

• 50:56David Friedberg?

  It's almost like what YouTube and Instagram did for user-generated content. There's going to be this whole new model of AI-generated content. The real winners are going to be the technology platforms that bring these tools in a simple intuitive way that to Sax's point, doesn't challenge the user to do work, but makes their life feel easier and better and brings them a more rich experience than they're getting today from any other media source. And that's going to be a game changer.

• 51:22Jason Calacanis?

  All right. Lots going on in AI. I thought I'd bring up a really interesting story that happened just around stock options and employees and advice you're going to get, generally speaking. Just tons of chaos at the startup Bolt. If you don't remember, that's a one-click checkout startup. It was founded by a guy named Ryan Breslow. He's been on my other podcast, This Week in Startups. He went viral in 2022 after he called YC and Stripe like mob bosses and had this whole conspiracy theory of how they were trying to kill his company. Don't know if it's true or not. But at its peak, Bolt was valued at $11 billion each month and they're buying back shares at a $300 million valuation, down

• 52:03Jason Calacanis?

  97%, yada, yada. What makes this interesting was that in 2022, Breslow announced a new stock auction program for his employees on Twitter. And he did this in a very bombastic, lecturing kind of way to the entire industry, saying that Bolt would offer loans to any employee to exercise their options early. We all know about these types of loans.

• 52:22David Friedberg?

  From their balance sheet?

• 52:24Jason Calacanis?

  That is the idea here, yes. And he called it the most employee-friendly plan possible and said that half of Bolt's 600-plus employees took the deal.

• 52:35Jason Calacanis?

  He's since deleted the entire thread, but at the time, a lot of VCs who'd been through this before, you know, explained to Ryan, this is a terrible idea. Here's GGV's Jeff Richards. For what it's worth, almost every private company subsequently did this in the 90s. It was an absolute disaster. Employees spent years paying back loans for worthless stock tax bills for merely exercising, et cetera, yada, yada. And his now deleted tweet was, "Over half our employees chose this. Plus, I would strongly encourage my family and friends to choose this. But VCs say it didn't work in the 90s. So it's a disaster." VC Twitter pumps the tweet. This is why VC-run companies are never able to make strides for employees. Obviously, all those options at 11 billion are worthless now.

• 53:14Chamath Palihapitiya?

  But sorry, they did this when they were worth 300 billion?

• 53:17Jason Calacanis?

  11 billion. And it was reported that at the same time, in a new industry publication, that Breslow was selling his shares in secondary. Breslow confirmed with that newsletter that he had sold 10 million and sources, anonymous sources, yada, yada. I'll take that for what it's worth, said he didn't tell the team he was doing that. Two investors also accused the company of misleading shareholders and raising capital on inflated metrics. SEC investigated but did not recommend any action. Sex. Jamarth, I don't know if either of you want to take this. This is really mechanical, but it does speak to what happens when things implode. Should employees be taking loans to buy these kinds of stocks?

• 54:01Chamath Palihapitiya?

  At a minimum, hopefully, these loans are non-recourse. And at the maximum, if they were recourse, but it looked like these guys were doing these kinds of shady things, they have to kind of forgive the loans and eat it.

• 54:14David Sacks?

  There's a reason why almost no one does these types of exercise loans anymore. I mean, whoever the VC was who pushed back was right. I mean, these things were common 20 something years ago. People stopped doing it. And the reason why is that, well, there are a couple of reasons. So, the mechanics of the loan are that the company loans you the money to pay down the exercise price, the strike price for the options. And then you're supposed to pay the company back at some future date, basically when you can sell the shares. And in effect, from the point of view of the balance sheet of the company, this was cashless because it would loan the exercise price to the employee who would then exercise and pay that money back to the company. So everyone's like, well, what's wrong with this? This just seems like... Simple mechanics where no one loses.

• 54:59David Sacks?

  The employee gets to start the clock on their shares for long-term capital gains. That's why they would do it. The problem is that what people discovered is that if the company didn't work out and those shares became worthless, then the employee is still on the hook for the loan. And if they don't pay the loan back, then there's a loan forgiveness issue. In other words, the forgiven amount of the loan or the defaulted amount of the loan becomes ordinary income. And so what happens is you end up having to recognize as income the loan that you never pay back. So you can lose. Furthermore, if there's spread at the time that you exercise between the strike price

• 55:40David Sacks?

  and the fair market value of the shares, then although if it's the right kind of option, if it's an ISO, you can defer paying tax on that spread. However, people got whammyed by the AMT that that spread still counted for alternative minimum tax. So there were a lot of people during the first dot com bubble who exercised, thinking they can't lose because the market was always up and to the right. And then the company would go bust and they would get hit with a big AMT and then they would get hit with a loan forgiveness issue. So that's why everyone stopped doing these things.

• 56:11David Friedberg?

  Yeah. Yeah, I mean, really importantly, getting taxed on that spread, you owe that money no matter what. No matter what. No matter what. The IRS demands that money and the California Franchise Tax Board demands that money. So I just want to be very specific so people understand this. If the value of your company's gone up to $2 a share as a private company and your options are 10 cents a share, you pay 10 cents a share to get those shares, you owe tax on the $1.90 difference. And ultimately, if the company's now worth less than a dollar when you're finally able to sell or it shuts down, you actually have money you have to pay to the IRS, the Franchise Tax Board, and you did not make enough money to cover the tax bill. The way a lot of these companies do this is they do a cashless early exercise or cashless

• 56:56David Friedberg?

  exercise loan. You don't even have to put money up to pay the 10 cents a share. The company is just covering it for you. To Sax's point, you end up getting taxed for that later if you don't pay it back. So the whole thing creates a lot of tax obligations and it's a very complicated structure and system. And the reason options exist is so that people could buy their options and not have to pay taxes at the time that they receive them. Because if you just get shares in a company rather than options, the value of those shares is your tax bill, even if you can't sell the shares.

• 57:30Jason Calacanis?

  Well, it's income.

• 57:30David Friedberg?

  So it's income. And so options were created as a way that you would have a strike. And the strike was the fair market value. So you're actually not getting any value today. And so you can avoid the tax bill. But now it leads to all these other tax loops.

• 57:43Jason Calacanis?

  Way too complicated for rank and file employees is what it comes down to. Like I saw this with like senior executives trying to get like the top five positions, you know, CFO or something.

• 57:52David Friedberg?

  And the whole thing is to reduce your tax bill from 50% to 20%. And at the end of the day, you open up all of these other problems if you try and do that.

• 58:01Jason Calacanis?

  Completely.

• 58:01David Sacks?

  One of the stupidest things about the way this was used is that they would give the exercise loan to employees who are leaving the company. Because they said that, you know, normally when you're a departing employee from a company, you have three months to exercise your options or you lose them. So they were saying that this would be a solution to that, right? We'll loan you the money to exercise. All they're doing is creating a huge tax problem for that former employee. And you're right, the average employee is not sophisticated enough to navigate all of these issues. It's not clear also why you'd want to create this complicated benefit for departing employees. It seems like if you're going to do this, you would want to do it for a key exec who's joining the company. That's the only context in which I've seen it, by the way.

• 58:47Jason Calacanis?

  Yeah, same.

• 58:48David Sacks?

  So they were trying to solve a problem using this complicated device that really backfired. But it's not even a problem that you should try and solve in that way. I mean, there's a much simpler solution, which is extend the period of time that employees have to exercise. If you don't want them to lose their option, if they don't exercise within three months, give them 10 years. And there are a bunch of companies that have done that, where they give you a lot longer to exercise the option.

• 59:12Jason Calacanis?

  The trend I'm seeing with startups, like early-stage startups, seed-stage startups, which are really indicative of what startups will do later on. Hiring people, cash basis, paying them hourly outside the United States, not having to worry about stock options, not having to worry about... Healthcare, just finding a global workforce and using these third-party tools. There's a lot of third-party tools to manage employees in Portugal, or Manila, or Canada, or whatever, South America. And they're just saying, you know what, stock options are going to be for like an elite group, the top 10% of the company. And then we're going to automate the rest of the jobs with AI, and we're going to outsource and have hourly workers or full-time contractors outside the United States. It's the undeniable trend.

• 59:55David Sacks?

  I think that's terrible.

• 59:56Jason Calacanis?

  Why?

• 59:57David Sacks?

  That's throwing the baby out with the bathwater. One of the most magical things about startups in Silicon Valley is that when it worked, everyone got rich. I mean, you have the story of the Google chef who made $100 million, or the secretary at Microsoft who got to retire. It, you know, those are extreme examples.

• 1:00:12Chamath Palihapitiya?

  The graffiti artist at Facebook.

• 1:00:14David Sacks?

  The graffiti artist.

• 1:00:15Chamath Palihapitiya?

  He did, really. What was his name? David?

• 1:00:18Jason Calacanis?

  David Cho.

• 1:00:19David Sacks?

  But the fact of the matter is that Silicon Valley had a share of the wealth mentality, where the rank-and-file employees did participate in the ownership of the company and they got equity. And it was highly motivating, or it is highly motivating.

• 1:00:29Jason Calacanis?

  Sure.

• 1:00:30David Sacks?

  For not just like lower-level employees, but mid-level employees and senior employees to basically get equity in the company. That's one of the things that makes Silicon Valley companies special, or companies created outside Silicon Valley but using this Silicon Valley template.

• 1:00:45Jason Calacanis?

  The methodology.

• 1:00:46David Sacks?

  So I think, you know, getting rid of options altogether is a terrible overreaction.

• 1:00:49Jason Calacanis?

  Now, what they're doing is more like, for the core team that's in Silicon Valley, options, but then like for work that is not considered as essential, you know, just hiring people offshore who don't come with that expectation.

• 1:01:02David Sacks?

  Well, trying to get those people then to work nights and weekends, the way that you might be if you're the owner of the company, they're not having an ownership mentality.

• 1:01:07Jason Calacanis?

  Yeah, I agree. I mean, I guess.

• 1:01:10David Sacks?

  You're going to get nine-to-five workers that way.

• 1:01:11Jason Calacanis?

  And I think what people are starting to realize is like, maybe there's, with these remote workers, a lot of people are doing nine-to-five work. And maybe that, like, hard-working culture just doesn't exist in Silicon Valley like it used to.

• 1:01:23Chamath Palihapitiya?

  You may be able to find hard-working entrepreneurial, like, folks.

• 1:01:29Chamath Palihapitiya?

  That don't necessarily speak English that now with these AI tools basically become some of your best folks, but there are many countries that don't value equity, don't have an understanding of it. And so to Jason's point, it's almost more of a complication to try to give it. So that may be the balancing thing, Sacks, that happens, which is that all these tools actually allow somebody in some country that speaks some language that's not English, but who can be completely committed, who becomes this linchpin of a business and gets paid an extremely great salary in American terms that makes them rich in their country. Get to the same place, maybe. Maybe. I don't know.

• 1:02:09Jason Calacanis?

  Their infrastructure needs to be built for stock options in other countries because I don't know that that exists.

• 1:02:13Chamath Palihapitiya?

  Or just pay people more cash because a lot of folks have different, again, stock options make sense when you have a differential in taxation between stock equity and

• 1:02:23Jason Calacanis?

  Capital gains, yes.

• 1:02:24Chamath Palihapitiya?

  But in other places where you have a flat tax or no income tax whatsoever, what's the difference?

• 1:02:31Jason Calacanis?

  Yeah, if you're in Dubai paying 1%, like you could just ship it, right?

• 1:02:36Chamath Palihapitiya?

  You ship it. I mean, you can always go back to a model where people vest shares rather than vest options and those shares vest on a trigger of time and a liquidity event. And that way they can't exercise or they won't get taxed prior to the liquidity event happening, but then they will have to pay ordinary income tax rates on their shares.

• 1:02:58David Sacks?

  Hold on, we're making it sound like exercising options is a bad thing. It can be a very good thing. I mean, if you're an early employee of a startup and the options are worth pennies and you can exercise for, I don't know, a few hundred dollars, then that's a great tax benefit because you start the clock ticking on long-term capital gains treatment. And when you sell those shares, eventually if there's a liquidity event, you get taxed at a capital gains rate, not an ordinary income rate. That's the tax benefit. That's why people want to be able to exercise their options in the first place. The problem is that as you join the company later and later, the strike price of the options goes up. And so therefore If you want to exercise, you're gonna have to write a pretty big check.

• 1:03:42David Sacks?

  And so you're gonna take a meaningful risk. Some people do that, and that's fine. The trouble comes in when you try to get cute and go around taking that risk by saying, okay, well, the employee doesn't have to go out of pocket for their exercise price. We're gonna loan them the money. Well, they thought that they had figured out a way to avoid taking that risk. But as it turns out, all you end up doing is potentially incurring AMT and a loan forgiveness issue. So there's no way around the fact that if you want to exercise your options to get the potential tax benefit of a lower tax rate, you have to also take the risk of losing the strike price, that that check that you write into the company. That's a fair trade, right? If you want the potential benefit, you take the potential risk.

• 1:04:27David Sacks?

  But that doesn't, that doesn't mean that you should never exercise. There's a lot of cases, again, I think if you're early at a company, you should.

• 1:04:33Jason Calacanis?

  Low thousands of dollars, low hundreds of dollars. Go for it.

• 1:04:36Chamath Palihapitiya?

  There's all kinds of ways where when the basis is extremely low, it's nominally not a lot of money. So you can take the risk. But when you start talking about tens of thousands or hundreds of thousands of dollars or millions of dollars and then using loans and leverage and.

• 1:04:52Jason Calacanis?

  You got the risk of ruin coming out.

• 1:04:53Chamath Palihapitiya?

  Bad news bears all the way.

• 1:04:56Jason Calacanis?

  No bueno. All right, Sax, here's your red meat. Did you see the poll about Biden's age and the unfavorable percentage of people who think he is too old?

• 1:05:07David Sacks?

  How can I not see that?

• 1:05:09Chamath Palihapitiya?

  I think the most important thing that we should talk about is that President Biden has decided to not go through a cognitive test as part of his annual physical. It's the first time it's ever happened.

• 1:05:20Jason Calacanis?

  Joe Biden, now eighty one years old, eighty two at the start of his second term. If he wins, he'll be eighty six at the end, making him by far the oldest president ever. Trump is seventy seven. He would be seventy eight and a half when he gets his second term. If he won eighty two point five at the end of his term. Here's your histogram of age of presidents. These are the oldest, just to give you a, everybody obviously refers to Reagan as the oldest president prior to this. He was a spry sixty nine at the start of his presidency. And by the end, he was seventy seven, which is younger, obviously, than Biden and Trump today. So Sax, those or Shama thoughts?

• 1:06:01Chamath Palihapitiya?

  Let's just say that we've had a bunch of these issues over the last few years.

• 1:06:07Chamath Palihapitiya?

  President Trump didn't disclose his tax returns. Is that a huge issue? I think people made it to be a huge issue, but it's more of an issue of judgment. But I don't think it fundamentally compromises his ability to leave the country.

• 1:06:24Chamath Palihapitiya?

  You had a different issue, not with the president, but with the current Defense Secretary, who had prostate cancer. The disclosures were, let's just say, somewhat suboptimal.

• 1:06:38Chamath Palihapitiya?

  He had a UTI. He got emergency admitted to the hospital. He just had another acute issue. And those disclosures weren't good.

• 1:06:49Chamath Palihapitiya?

  But you're talking about an acute kind of a thing where if you're incapacitated, there's a chain of command that immediately kicks in.

• 1:06:57Chamath Palihapitiya?

  Those are a class of issue that I think people can find things that are wrong with, probably correlated to one's political affiliation. The other side probably cares more than the side that the leader's on. But I think this issue is a really big one. And I posted this clip of KJP basically saying, "Nothing to see here, move on." And the first comment was Elon, which I think nailed it. He said, "A basic cognitive test should not be something that someone who controls nuclear strikes is allowed to skip." And I think that that is part of the fundamental issue that I have with what they decided

• 1:07:37Chamath Palihapitiya?

  to do here, which is that it just massively increases the risk that you could have somebody that was fundamentally unelected, running and making decisions. And I think that is a huge issue. And it's an enormous reason why, for me, this was sort of the straw that broke the camel's back and why I just absolutely cannot vote for Biden anymore. I was trying to find There's a new story. Okay. I was trying to find a lot of good reasons to support him. Stability, normalcy, all of this stuff. But this is not what stability looks like.

• 1:08:16Chamath Palihapitiya?

  And I go again back to this very simple thing, a cognitive test for somebody that can control the ability for us to go to war, or for us to completely eviscerate entire populations through weaponry that he and he alone controls, should be something that is just mandatory. You can't skip it. This is not a thing where it's a nice to have, I think it's a must have, and in the absence of it, I think it compromises his ability to be a legitimate choice.

• 1:08:44Jason Calacanis?

  And we do have a minimum age, Sacks, and what Chamath is saying is what the majority of Americans are saying. ABC News ran a poll, 86% of Americans, across both parties, think Biden is too old to be president. 59% said both Biden and Trump were too old. You said on a previous episode, Sacks, that you thought the public should decide, and that that doesn't need to be a cognitive test. Are you sticking with that, or do you think you're gonna maybe move to Chamath's position, and mine, cognitive test should be mandatory to be president?

• 1:09:14David Sacks?

  Well, I think it's a tell that they won't take the cognitive test, because they're worried that he might fail. Just like it was a tell that they refused to do the Super Bowl interview, which the president always does. That's the most softball interview that Biden could possibly have. And they refused to do it, obviously because his aides and advisors are nervous about how that might go. We had the Herr report come out, where the special counsel investigated the classified documents case for Biden, said that we can't prosecute this guy, he'll be too sympathetic a defendant, because he's manifestly senile. And he'll come across as an old man who can't remember what happened. So that's why they decided not to prosecute him. The Babylon Bee had a hilarious headline or take on this,

• 1:09:57David Sacks?

  which was, "Man deemed too senile to stand for trial, still fit to run country." That's the situation we're in. He can't stand for trial, but he's still running the country.

• 1:10:07Jason Calacanis?

  Yeah.

• 1:10:08David Sacks?

  And the thing that was most damning about the Herr report was not just what the special counsel wrote, but it was Biden's reaction to it. Apparently, he demanded that he wanted to go out and do a press conference that very day to refute the idea that... His memory was bad or that he was senile. And he then did this press conference and it completely backfired. He came across as kind of an old man shaking his fists, yelling, get off my lawn. I mean, that was basically the vibe that he gave to the press. And then the thing that he got wrong was he confused Egypt from Mexico in regards to the whole crisis in Gaza.

• 1:10:49David Sacks?

  So it would have been one thing if it was just her saying that Biden was senile, but then Biden himself came out and seemed to confirm it by making these mistakes and gaffes. So they know they have a problem.

• 1:11:03Jason Calacanis?

  So to my original question, would you be in favor? And will you change your position here that we should have cognitive tests for the presidency of the United States? Yes or no?

• 1:11:12David Sacks?

  I think that the real issue is that Biden would fail such a test. I mean, that's the problem is that he is cognitively impaired. And the thing to realize about these sorts of conditions is they're not static. There's a trajectory to them. So in the same way that Biden is manifestly worse than he was a year ago or three years ago.

• 1:11:33Jason Calacanis?

  Yeah, when he took office, he was obviously sharper.

• 1:11:34David Sacks?

  Yeah, whatever this condition is, it's going to be worse.

• 1:11:37Jason Calacanis?

  Okay, I won't ask you a third time to answer the question, but you were choosing not to answer the question.

• 1:11:42David Sacks?

  So when you say, when you say that, should the president take a cognitive test? Sure, he should take a cognitive test.

• 1:11:48Jason Calacanis?

  Should it be the law of the land? Just like we have a 35 year minimum age. I'm just asking you to be specific.

• 1:11:54David Sacks?

  You could make him take a cognitive test, but the point is that let's say the doctor says, yeah, he's cognitively impaired. Is that going to bar someone from running for office constitutionally? No, that's not going to be part of the constitutional requirements. You have to pass a constitutional amendment.

• 1:12:10Jason Calacanis?

  Yes.

• 1:12:11David Sacks?

  Would it be a good idea for someone to take a cognitive test? Part of their physical to be president? Sure. But is that going to be a constitutional requirement? No, you can't have some doctor say.

• 1:12:19Chamath Palihapitiya?

  By the way, that's my whole point. Like you could take a physical, Bill Clinton did that. And people used to joke about his cholesterol levels and he would go for a jog and stop at a McDonald's. So I'm not saying by any means that the results should bar you from the ability to run. Should still be up to the voters, but just like we would make sure that acute or chronic health conditions were well understood, right? The idea that this entire body of judgment, which is around your brain, around the judgment of the President of the United States, to basically say, no, we're good here, we can skip it, I think that that's really dangerous and it's part and parcel of

• 1:12:59Chamath Palihapitiya?

  a systematic set of behaving now by the Democratic Party, which I think is really not where they want to be. So the only person that's really stood up to all of this is Dean Phillips.

• 1:13:09Jason Calacanis?

  Yep.

• 1:13:10Chamath Palihapitiya?

  But he is being prevented and railroaded from even being able to put that issue on the table so that the voters can decide. My fundamental view is the voter should decide, but all of these tests should be done and skipping them is a form of a tell, as David said, and I think that this is the most important tell that we've been given about the amount of cognitive decline that he's suffered. And Jon Stewart, by the way, had the funniest version of this. Jon Stewart's essentially monologue was like, hold on, everybody is out here giving soundbites that say he is a chess grandmaster in private, but then he shows up in public and it looks like he can't even play checkers.

• 1:13:48Jason Calacanis?

  Yeah, Friedberg, let me, let me jump to you there. You shared the clip with us. What were your thoughts? What are your thoughts on this whole issue? Cognitive test?

• 1:13:54David Friedberg?

  I don't, I mean, I don't think a cognitive test should be the law, because you're starting to get into edge cases where you'll create lots of different requirements, like what's the strategic test? And, you know, what's the under pressure test? And there's obviously a lot of ways that folks can game and challenge and create new systems for a new criteria. The system of democracy, however, is meant to solve these problems. The system of democracy is meant to allow individual voters to say, we judge that someone is not equipped or prove us wrong, which is what the voters are saying and doing right now based on the polling data. The majority of voters in the United States are saying, we do not think that this individual is equipped to be president.

• 1:14:37David Friedberg?

  Rather than respond to that with a cognitive test, we are stuck with a single candidate. And I think it speaks more to the problem of the Democratic Caucus and how the electoral system works in the United States today, where the insiders get to decide who the nominee is for the party. And those insiders are self-dealt. They are getting benefits by putting someone in the seat for next term because that person is in the seat this term and is approving things that they want this term. And so it feels very corrupt and it feels very unfair and very undemocratic. I think it leads to either a sense that the individual voters rise up and say, we want a third party. Because the way that this two-party system works and the way that the caucus system works

• 1:15:22David Friedberg?

  isn't fair. Or we end up seeing a really unfortunate outcome where you have a similar sort of like January 6th type event where folks are just fed up with the whole system and don't trust it. And if the citizens lose faith in democracy, we're in peril. But as Jon Stewart said in his monologue, it is the responsibility of the citizens of this country to step up and not lose faith, but to take action and to resolve to a solution. We have the power, we have the authority as voters. And if enough of us get together and say there should be a third party, or we do not want this individual to be the candidate, something will change rather than just resolve to letting the insiders set the terms of the caucus.

• 1:16:02Jason Calacanis?

  Third party is seeming more and more viable. As we've talked about here, people forget the case of Ross Perot getting 19%.

• 1:16:11Jason Calacanis?

  RFK looking pretty favorable. And the third-party candidate, something I think the two parties dismiss all the time, but it is completely possible. So maybe this is the time that this is the breakout season for it. As Sacks alluded to, the Har report also came out. It was released. Special Counsel Robert Herr, Republican and Trump-appointed AG, declined to prosecute Biden because he feared they couldn't reach the standard of reasonable doubt. As Sacks pointed out.

• 1:16:44Jason Calacanis?

  And I'll just quote from the report, "We conclude that the evidence does not establish Mr. Biden's guilt beyond a reasonable doubt." And they also said he was an elderly man with a poor memory, or that's how a jury would view Biden. Democrats felt this was partisan, obviously, and then pointed out a bunch of times that Trump has misstated people's names or been confused. Is there any correlation here between the two candidates in your mind? Chamath, is Trump right behind Biden in terms of this? And is he too old to run as well? And do you think the gaffes that he's made are comparable?

• 1:17:22Chamath Palihapitiya?

  I think that he looks much younger and sprightlyer than Biden does, to be totally honest.

• 1:17:30David Sacks?

  Yeah, and look at the schedule he maintains. This is nothing like Biden's. I mean, look, Democrats are trying to both sides the issue because it's their only choice. They're stuck with a candidate who's an obvious decline. And the problem for Democrats wasn't just the her report, which, like you said, J. Cal, they can dismiss as partisan because they control the media. The problem is that Biden himself demanded to go out in front of a press conference to refute the her report, and he ended up confirming it. And the people of the United States can just look at Joe Biden, and every time he talks, no matter how much they try to hide him, when he does speak, the American people are left with the impression that this is somebody who's invisible to decline. Trump, although he does misstate a word or two here and there, does not give that impression. Trump maintains a vigorous

• 1:18:15David Sacks?

  schedule. Not only is he running a presidential campaign, he's battling, he's in court every other day, fighting all this lawfare. He is willing to give interviews. In fact, he barely turns down a press interview. And most importantly, he's willing to do a hostile interview. He's willing to step into the lion's den. He's willing to go on CNN, to those town halls, and basically battle with these reporters.

• 1:18:36Jason Calacanis?

  I think that's your best point.

• 1:18:37David Sacks?

  Whereas Biden won't even sit down for the Super Bowl interview, which is as much of a softball interview as you're ever going to get.

• 1:18:44Jason Calacanis?

  Yeah. Yeah, no, no. I mean, that's your, that's your best point. I think, who's running the country, guys? Who does a two or three, if you can't do a two or three hour interview, I don't think you can be president.

• 1:18:54Chamath Palihapitiya?

  J. Cal, who do you think is going to run the country in the second term if Biden were to win?

• 1:18:57Jason Calacanis?

  You know, that, that is the question.

• 1:18:59Chamath Palihapitiya?

  You think it's Biden?

• 1:19:00David Sacks?

  The staff runs it. Listen, this will be, this will be a regent president where the presidency becomes an office instead of a person and it's run by powerful ministers. Like in some sort of European system. That's what we'll get.

• 1:19:14Jason Calacanis?

  Or happened under Reagan.

• 1:19:15David Sacks?

  And the fact of the matter is.

• 1:19:17Jason Calacanis?

  Or Sacks has happened under Reagan.

• 1:19:19David Sacks?

  Only in the last couple of years of Reagan.

• 1:19:21Jason Calacanis?

  Exactly what happened in Reagan.

• 1:19:23David Sacks?

  The similarity start to, or not similarity, he had Alzheimer's and it really, I think, started to become a factor in the last couple of years.

• 1:19:30Chamath Palihapitiya?

  It was the last two years.

• 1:19:31David Sacks?

  But the first six years were very strong.

• 1:19:34Jason Calacanis?

  Twenty-five percent of his presidency, who was running the country is the question. Yeah. It's a valid question.

• 1:19:39Chamath Palihapitiya?

  Do you think there's a difference, Jay Cal, between twenty-five percent and fifty percent?

• 1:19:42Jason Calacanis?

  No, no. I, I think it's like we only have, I'm just looking for other corollaries where this happened and what happened. Who, who is?

• 1:19:49Chamath Palihapitiya?

  I think the, this isn't a corollary exactly because when he ran, when Reagan ran for a second term, he was cognitively sharp. It was true that he was diagnosed with early onset Alzheimer's in the second year of his second term. And then that was not properly disclosed to Americans.

• 1:20:05David Sacks?

  That was just, it was just the beginning in the last two years. If you look at, if you look at the nineteen eighty-four campaign, the Morning in America campaign, Reagan still did debates. He was still sharp on his feet. He was debating Mondale, remember?

• 1:20:18Chamath Palihapitiya?

  Yeah.

• 1:20:19David Sacks?

  He gave speeches all the time. He maintained a vigorous schedule. There was no evidence of there being a problem.

• 1:20:24Jason Calacanis?

  My only point here, Chamath, is like, does the public has a right to know when these things happen? And it seems to have happened a couple of times in history.

• 1:20:31Chamath Palihapitiya?

  Well, so I would take Friedberg's side. I'm not sure that the public, you could say irrespective of whether the public has a right to know, the public has a right to judge. And I think in order to judge, you have to make yourself available so that you can actually see it in front of your own eyes or hear it or listen to it or watch it or what have you. And that's the second problem that I think we're starting to see, which is it is so controlled.

• 1:20:57Chamath Palihapitiya?

  How we get to interact with, with our leader. And I think that should give people some pause so that they ask themselves, why would this happen?

• 1:21:09Chamath Palihapitiya?

  And I think that that's worth internalizing.

• 1:21:12Jason Calacanis?

  Friedberg, would you vote for a presidential candidate who does not debate or who does not subject himself to, you know, serious strenuous confrontational adversarial interviews? Those two things, are those two things a requirement for you to vote for somebody?

• 1:21:29David Friedberg?

  I don't know how much that matters anymore. The problem with the two-party system is you vote for your party.

• 1:21:34Jason Calacanis?

  No, I know, but to you.

• 1:21:36Jason Calacanis?

  If like a Trump or Biden, they just refuse to do it because we're getting to the point where maybe they're just going to refuse to actually Biden or Trump, Trump has refused to do any debates. So maybe they're just both going to refuse to debate. Would you vote for a candidate if they refuse to debate is my question to you, Friedberg?

• 1:21:54David Friedberg?

  I mean, I'm just in a very different mindset on this stuff. I'm not excited to vote for a candidate that's not making their priority to fix the fiscal problem of the US.

• 1:22:04Jason Calacanis?

  All right. So you're back to that topic.

• 1:22:06David Friedberg?

  It's not that topic. It's like, for me, it's like there's a car driving towards a wall and you've got your foot on the gas pedal. It's like, which guy do you want to keep the foot on the gas pedal? Like, I don't care. Like, we got to take the foot off the gas pedal. That's the point.

• 1:22:19Jason Calacanis?

  You perceive there's a difference between the two in spending? You're talking, okay, so you're, you're voting for a third-party candidate that would lean towards. Chamath, would you vote for somebody?

• 1:22:27David Friedberg?

  A third-party candidate can't win in the system.

• 1:22:29Jason Calacanis?

  Well, I mean, they can't until they can, right? Until they do. So we'll see. Chamath, would you vote for a candidate who didn't debate or subject themselves to a rigorous adversarial interview?

• 1:22:43Chamath Palihapitiya?

  Not unless I wanted a shadow government.

• 1:22:45Jason Calacanis?

  Okay. Sacks, same question to you.

• 1:22:47David Sacks?

  Jason, you're acting as if we need to have all of these tests because we don't know whether Biden has a cognitive problem or not.

• 1:22:55Jason Calacanis?

  Well, I was including Trump in this. I'm including Trump in this, like the debate issue.

• 1:22:58David Sacks?

  Well, I think we also know about Trump. Trump maintains a vigorous enough schedule. He takes enough difficult interviews. He does enough speeches.

• 1:23:05Jason Calacanis?

  What about the debate part? That's the one I'm curious. If he refuses to debate, would you, would you still be willing to vote for him? You know, or any candidate?

• 1:23:13David Sacks?

  You're acting like we need to judge this question based on proxies for the real issue when the real issue is that we know one of these candidates has basically dementia. He's in visible decline.

• 1:23:25Jason Calacanis?

  I'm not asking you this about Biden. I'm asking you in general, because we're talking about norms. One of the norms of, you know, releasing your taxes. I'm not asking you about Biden.

• 1:23:33David Sacks?

  I think you're changing the subject from the core substantive issue.

• 1:23:37Jason Calacanis?

  We have already all agreed that Biden is in cognitive decline. I'm asking you another question. I'm opening up the aperture as the moderator here, and I'm asking you to address another question.

• 1:23:46David Sacks?

  I think candidates should debate, period.

• 1:23:48Jason Calacanis?

  Okay, that's what I'm asking. I don't know why you're going back and telling me what I think.

• 1:23:52David Sacks?

  Because I think that the tactic of Democrats, the mainstream media right now, is that they can't, there's no way for them to paper over or deny the visible reality of Biden's decline. So they're trying to muddy up the waters. They're trying to claim, well, Trump is old too, or that Trump refused to debate too. They're trying to both sides the issue. I think we all know that Biden has a problem that Trump does not have. Now, I think that Chamath is also right, that there's a lot of Democrats who are comfortable voting for a shadow government. They're fine with the presidency being a figurehead or a rubber stamp. And I think the reason why they're fine with it is because Democrats basically control most of our ruling institutions, really all of them. I don't think you can name one major institution run by Republicans.

• 1:24:38David Sacks?

  And they don't need a president to do anything other than be a rubber stamp. Republicans are looking for something different. Republicans need a president who's willing to push back on the permanent bureaucracy in Washington, push back on the deep state or the State Department creating new wars. They want someone to push back on Wall Street. They want someone to push back on all these institutions.

• 1:25:00Jason Calacanis?

  They want a populist, yeah.

• 1:25:02David Sacks?

  Populists are looking for a Tribune of the Plebs, basically, to push back on this senatorial class that runs Washington for their own benefit. Democrats are different. Democrats are the ruling elite, and they're fine with the president basically just being a figurehead who will sign their legislation.

• 1:25:20Jason Calacanis?

  Does he drop out, Chamath?

• 1:25:21David Sacks?

  Or veto bills they don't like.

• 1:25:23Jason Calacanis?

  Does he drop out, Chamath, at this point? Is this the moment we're going to look back on and say, this is the peak, when that 86% poll comes out and all this negative press? Do you think Biden is, there's an exit ramp here? And do you think there'll be a different candidate fielded by the Democrats?

• 1:25:38Chamath Palihapitiya?

  No, this is, uh, this was their way of saying we're going for it.

• 1:25:42Jason Calacanis?

  Okay. Fraber, you have any thoughts on that? You think they'll make a switch?

• 1:25:46David Friedberg?

  On Biden?

• 1:25:47Jason Calacanis?

  Yeah.

• 1:25:47David Friedberg?

  I think there's a chance. I think there's a chance. Last week, I had a few conversations that led me to think that there are not super influential people in the party, but people that are in the party that, you know, have connections to people of influence in the party. I'd love to hear Tomah's like, conversations you may have had around this stuff too, but people are not happy in the party.

• 1:26:08Jason Calacanis?

  Yeah.

• 1:26:08David Friedberg?

  They're very, like, very much unhappy. And everyone would love to see someone else. Now, the assumption is Gavin is going to be shoved in that seat. And that's also a losing proposition. So if you shove Gavin in the seat, you're in a worse place than you are with Biden in the seat with respect to your shot at winning. And it's a little late now, but I still think that there's a chance.

• 1:26:28Jason Calacanis?

  Sax, what do you think? Biden drops out?

• 1:26:30David Sacks?

  First of all, the only reason these people are unhappy is because they think that Biden's problems have become so manifest that it might cost him the election. That's what they're worried about. They don't care about the fact that the Biden presidency will be run by staffers. As long as those staffers will basically do what they want, sign their legislation, or veto the wrong legislation.

• 1:26:47Jason Calacanis?

  Will he drop out is the question we're asking you. Will he drop out?

• 1:26:50David Sacks?

  No, he's right. He said he won't. Look, the problem that people in the Democratic Party have who have this concern about Biden losing the election because of this cognitive issue is that there is no mechanism to replace a candidate who has won all the necessary primary votes against his will. Biden has said he's going to be the nominee. He has no desire to drop out. So unless he changes his mind, or there's some act of God, he's going to be the nominee. The time for Democrats to make this change was a year ago. It required mounting a primary challenge to Biden the way that Dean Phillips has done. The problem is that the Democratic Party elders and the powerful people in the party said, we're going with Biden.

• 1:27:33David Sacks?

  And so no one wanted to run against him. And they basically. Set up the primary calendar so that Biden would win, and he is going to win. He'll have all of the primary votes he needs locked up by the end of March. And Dean Phillips is not going to be able to basically stop him. So there is no mechanism to remove Biden. He's going to be the candidate, you know, barring act of God, unless he can be persuaded to step down. So it's not going to happen.

• 1:27:58David Friedberg?

  What do you think about this new third party effort in DC? No Labels, have you heard about it? Have you been pitched it?

• 1:28:04David Sacks?

  I've heard of it. I haven't been pitched it.

• 1:28:07David Friedberg?

  Samoth, have you been pitched it?

• 1:28:08Chamath Palihapitiya?

  I hosted a dinner at my house with some folks about it.

• 1:28:11David Friedberg?

  And?

• 1:28:12Chamath Palihapitiya?

  Yeah, I mean, I think like it could be interesting. I think that the

• 1:28:16David Friedberg?

  Is there room for a third party in the country, you think?

• 1:28:18Chamath Palihapitiya?

  Yes, and I, and I think that there is a very reasonable chance. And I would put reasonable somewhere between 30 and 50% that this third party gets created after the presidential election. And that is the, one of the very likely outcomes of RFK's candidacy. Because it is an infrastructure that will have gotten on presidential ballots in 50 states. And it's an infrastructure that if people are willing to fund specifically No Labels and other people, I think the artifact could be a third party.

• 1:28:58Chamath Palihapitiya?

  And if RFK can get 30 plus percent support, which in some states I think he will, I think that there's a decent chance. That would be an enormous outcome. Obviously, the most disruptive outcome for RFK would be that he won the presidency. But I'm just saying that a very powerful outcome that has huge longitudinal benefits to America would be that his candidacy essentially is the, is the founding story of a third party.

• 1:29:27David Friedberg?

  Yeah.

• 1:29:29Chamath Palihapitiya?

  And that was the shame of what happened with Perot. I think that there was a chance that Perot could have done that, and he must have been under just an enormous amount of pressure. I can't even imagine what he must have dealt with. But that could have been the artifact back then, but it definitely can be the artifact today.

• 1:29:43David Friedberg?

  So, we'll see.

• 1:29:46Jason Calacanis?

  They haven't announced either. And there's no timeline for them announcing. They've asked to come on this program many times to just talk about the concept. I think like they they want to have like the executive director on.

• 1:29:57David Friedberg?

  No labels?

• 1:29:58Jason Calacanis?

  Yeah, they they've asked over the years.

• 1:30:00David Friedberg?

  I don't love, yeah.

• 1:30:01Jason Calacanis?

  And I was like, well, maybe when you pick a candidate, that would be a better time than just talking about it in the abstract. I think it's a great idea. I think that's what Americans want. So, maybe we'll get to the.

• 1:30:11David Sacks?

  Guys, the election's in nine months. We're running out of time. I mean, it's entirely too late to be talking about new candidates who aren't even in the race. Not gonna happen. I mean, this whole Gavin Newsom thing's a fantasy. Even if Biden were to see the light and step down, be pressured to do that. Kamala Harris just said, I'm ready to serve. She wants to be president. And even though she's not senile, she's actually even more unpopular than Biden. So you have that huge problem in the Democratic Party, that even if somehow they could prevail on Biden, to step down, now you have Kamala Harris ready to serve. So how do you pass over her?

• 1:30:46Chamath Palihapitiya?

  He's not stepping down. He didn't go through all of this craziness this past week to step down. They didn't evade the cognitive test for him to step down. They're not doing all of that. They're not keeping him away from the media so that he can step down. None of that is happening. They're not having people come out with the soundbites about how he's got mastery of everything in private so that he can step down. He's running, Donald Trump is running, and RFK is running. Those will be the three people on the ballot in November of 2024.

• 1:31:17David Sacks?

  Biden's staff are the absolute last people who would ever pressure him to step down. Why? Because they'd be out of a job. I mean, from the staff's point of view, having a weak president who basically they administer.

• 1:31:30Chamath Palihapitiya?

  It's not just a job. It's like you allocate the future as the president of the United States. You decide.

• 1:31:36David Sacks?

  It's the best. It's the best situation possible for a staffer is to have a president who is borderline incapacitated and you get to just do whatever you want. You are the president.

• 1:31:45Chamath Palihapitiya?

  Yeah. Jake, I'll give us a rundown of the Tucker Putin thing. What'd you think?

• 1:31:49Jason Calacanis?

  Just as a programming note, it came out, it dropped right after we taped. We would have covered it. Obviously, we're not covering it for a reason. I give him a B on it. Could have been better, but it wasn't bad, all things considered. I don't think any journalist is ever going to be able to trap Putin or get good information out of him or any of those things. And if you have somebody like Tucker, who is obviously very sympathetic to Russia and who believes that, you know, the West forced Putin to invade Ukraine, you know, you're not going to get like a really great interview. I did think he had a great moment where he asked for the Wall Street Journal reporter back at that moment to take back with him. He did a lot of softball questions. He asked 43 questions during the interview.

• 1:32:33Jason Calacanis?

  About 15 of them were kind of softballs and he had about six fastballs, but he lost control over the interview. Very early, obviously, if you watched it. And that's just kind of like losing power control.

• 1:32:45Chamath Palihapitiya?

  You're like Chris Collinsworth here. I'm not asking for a technical analysis of the play. I'm asking you, what did you think of the interview? What did you take away from it? What did you think going in?

• 1:32:54Jason Calacanis?

  Nothing.

• 1:32:55Chamath Palihapitiya?

  And was there a delta and a change going out? Just a normal?

• 1:32:57Jason Calacanis?

  No, because I've watched the other interviews. I watched Megyn Kelly's. I watched NBC's. He's done. I did a research on it. He's done about nine interviews in the last 10 years. So it's not like this was anything new. And when you watch the other ones, it's just Putin spinning and pontificating and nothing gets accomplished. He doesn't answer hard questions. So I had six questions. I said he should ask him. He did ask two of them, but he didn't ask the other really hard questions I had. And so, you know, he's not.

• 1:33:28Jason Calacanis?

  I wouldn't say Tucker is like the useful idiot like Hillary Clinton said, but he is biased. And he didn't ask enough hard questions. I would have asked three or four harder questions, but you're not going to get a lot out of Putin. This guy is like a KGB Stasi-trained manipulator of media. It's his speciality.

• 1:33:44Chamath Palihapitiya?

  I had two really interesting takeaways. The first was if you had wanted to see some crazy madman, you actually left that interview thinking, okay, this is a person that's leading a nation that has a deep historical context that goes back to basically the dawn of Christianity, of which he has a pretty deep grasp of. And it seems that his decisions are rooted in a multi-thousand-year history. I didn't know that. And that was an interesting takeaway for me. So that was a broad strategic takeaway. So he was a little professorial. He was a little historical. And all of that, to me,

• 1:34:26Chamath Palihapitiya?

  made it harder for me to leave that interview thinking that he was a crazy person. In fact, it's more like he's a bit of a methodical thinker, I guess. The second is much more tactical, and I thought, super salacious, and I wish Tucker would have dug into it, which is that in 1999, when he was meeting Bill Clinton, he asked Bill Clinton, can we join NATO? And Bill Clinton said to him, yes, and let's go hash out the details over dinner. And then that night, they have dinner, and Clinton says, my team says no. And to me, when I looked at the arc of that interview, that was one of these really unique

• 1:35:07Chamath Palihapitiya?

  moments where it explains to me so much, which is a country that's at the, that's birthing a democracy, where Putin, transitioning from Yeltsin, had to make a lot of very important, difficult decisions. The idea that he would have made an entreaty to Clinton to say, can we join NATO? And then to be told yes, and then rebuffed, I suspect has an underlying amount of emotion that explains a lot of what's happened since. And I think that that should have been explored much, much more. I think they glossed over it and they went on, but it was a really important moment. Those are my two big takeaways from that. From that interview. Did you watch Free Bird? Any thoughts?

• 1:35:49David Friedberg?

  I don't understand. I think when he said that point, he was talking in the theoretical, not in the I'd like to join NATO, because the intention of NATO was to create a unified defense against the Russian armament, which is the most significant besides the US and at that point, before China's rise, ahead of China. So I think it doesn't make sense to be like, hey, there's two sides of this defense system. Let's unify the two sides of the defense system. It literally is a nonsensical proposition.

• 1:36:23Chamath Palihapitiya?

  That's not true. Not true in 1999. That's totally not true.

• 1:36:26David Friedberg?

  What was the other side?

• 1:36:28Chamath Palihapitiya?

  1999 was where we've tore this whole thing down. It's no longer the Soviet Union.

• 1:36:32David Friedberg?

  Right, so what it's made of?

• 1:36:34Chamath Palihapitiya?

  We're going to democracy. It's probably just an organization that looks like any other organization, like ASEAN. What's ASEAN? Well, ASEAN is an organization. Could they have military defenses? Supposedly. But it's a grab bag of countries. What's the BRICS? It's another grab bag of countries.

• 1:36:50David Friedberg?

  This is a defense alliance. This isn't an economic alliance.

• 1:36:53Chamath Palihapitiya?

  But in that moment, the justification for NATO was the least powerful it's had ever been. So in some ways, joining NATO would have been akin to dismantling NATO and saying, we don't need this anymore.

• 1:37:03David Friedberg?

  That's the point. Like, why would he say, why would the US and the Western Europe allies say, let's dismantle NATO? That's effectively what they would be doing.

• 1:37:11Chamath Palihapitiya?

  The historical context of that moment is important. He did it at the moment where they were transitioning to a democracy.

• 1:37:16David Friedberg?

  I don't know. It's like saying, let's get rid of the defense system.

• 1:37:18Chamath Palihapitiya?

  When Russia was transforming into a democracy? Well, when the USSR was breaking down and transitioning to a democracy, yeah. How did that democracy go?

• 1:37:25David Friedberg?

  If there was massive disarmament in Russia.

• 1:37:27Chamath Palihapitiya?

  The question is, what would have happened had they said yes and Clinton took a different path? All I'm saying is, guys, without prejudging it, that was, I think, a very important context that is not understood in history. I wouldn't dismiss it. No, no, I certainly, I think everybody raised their eyes. Like, really? That happened?

• 1:37:46Jason Calacanis?

  What did you think of that moment?

• 1:37:47Chamath Palihapitiya?

  And then also Clinton, who is so steeped in history and policy, is not somebody that would say something like that in an uncalculated way, only to pull back. That does not seem, and I know Bill Clinton, that is not who he is. So just in that context, he is a very thoughtful person. So he would have said that, thinking, wow, this makes a lot of sense on many dimensions. And again, the concept was, it was a, it was kind of like, let's sit down for dinner and figure out the details. And it's like, my team says no. And of course, the team would say no, because it's like, well, how are we gonna sell?

• 1:38:22Jason Calacanis?

  We haven't heard from Clinton, you know, confirming this, or how it was structured.

• 1:38:26Chamath Palihapitiya?

  It doesn't make, guys, it sounds like it was a theoretical, like, yeah.

• 1:38:29Jason Calacanis?

  That was my interpretation. He said it and kind of shocked Clinton. He's like, let me look into that? That's crazy. What did you think of that moment, Sax? And then overall?

• 1:38:39David Sacks?

  Well, Jason, the fact that Putin sought to join NATO, or at least made that offer, is a well-known, well-documented historical fact. This is definitely not the first time this has been raised. More generally, I think what you heard in that interview, once you got past the, the sort of, the ancient history lecture, is that Putin, when he first came to power, sought cordial relations with the US and with American presidents. And he was rebuffed. His attempt to join NATO was rebuffed. More generally, the US reneged on its promise to Gorbachev not to expand NATO one inch eastward. And instead, we began multiple waves of NATO expansion. And I think it's very important to understand that you don't need

• 1:39:22David Sacks?

  to believe Putin on this, or trust Putin. American diplomats were saying, at the time, what the ramifications of this would be. And I just want to put two data points in evidence. One is, George Kennan, who was the father of the containment doctrine during the Cold War, he was our most respected Cold War diplomat, said in the late 90s, when they were first debating on NATO expansion, he said, That, quote, "expanding NATO would be the most fateful error of American policy in the entire post-Cold War era." So, think about it. This is somebody who's been around since the 1940s. He was our chief diplomat and defined our containment policy towards the Soviet Union. And he said that expanding NATO would be the most fateful error of American foreign

• 1:40:07David Sacks?

  policy. And he said that a decision like that would inflame the nationalist, anti-Western, and militaristic tendencies in Russian opinion. It would have an adverse effect on the development of Russian democracy, and it would restore the atmosphere of the Cold War. So, this is somebody who really knew what he was talking about and warned us not to go down this path. And then, in 2008, second data point is that Bill Burns, who was our ambassador to Moscow, who is now Joe Biden's own CIA director, wrote a memo to Condoleezza Rice, who was then Secretary of State, called "Net" means "Net." And what he said in that memo is that NATO expansion to Ukraine specifically is the brightest of all red lines for the entire Russian elite, not just Putin.

• 1:40:50David Sacks?

  In other words, the idea of bringing Ukraine into NATO was an idea that was rejected not just by Putin or by hardliners, but even by liberal reformers inside of Russia. And nevertheless, we persisted in this policy. And so, I think what you hear in that interview are a lot of points by Putin around how he sought good relations with the West, but what was our reaction to him? Pressure, pressure, pressure. We supported the Maidan coup in 2014. We tried to expand NATO into his backyard on his most vulnerable border. And then, finally, we supported these hard-right, ultra-nationalist, neo-Nazi elements in Ukraine.

• 1:41:32David Sacks?

  Now, whether or not you believe everything that Putin said, my takeaway is that this was a rational actor. This was not a madman. This is somebody who we could have negotiated with. And in fact, there was still an opportunity before this war to prevent the war by taking NATO expansion off the table. We refused to do that. And even today, there was this new press story that, in the wake of this interview, the Biden administration still rejects entering negotiations with Russia, even though Putin held out that olive branch in that interview. So... You know, again, it's just very sad how we have conducted American-Russian

• 1:42:14David Sacks?

  relations over the last 25 years. We turned what could have been an ally into an enemy and proven George Kennan correct. I think this has been the most fateful era of American policy in the last 30 years.

• 1:42:28Jason Calacanis?

  All right. What an amazing episode this has been. I think we talked about Tucker and Putin enough. Love you, boys. For the Sultan of Science, the Dictator, and the Rain Man. I am the world's greatest moderator. We'll see you next time. Bye-bye.

• 1:42:41Speaker 04

  Bye-bye.

• 1:42:43Speaker 04

  We'll let your winners ride.

• 1:42:46Jason Calacanis?

  Rain Man David Sacks.

• 1:42:50Speaker 04

  And instead, we open source it to the fans and they've just gone crazy with it. Love you, S. I'm the queen of Kino One.

• 1:43:03Speaker 04

  Besties are gone.

• 1:43:06Speaker 04

  That is my dog. They're gonna unleash your driveway sex.

• 1:43:13Chamath Palihapitiya?

  We should all just get a room and just have one big, huge orgy because they're all just useless. It's like this sexual tension that they just need to release somehow.

• 1:43:21Speaker 04

  What? You're the bee. What? You're the bee. What? Where did you get merch?