TBPN Live - Oracle Slides, Disney x OpenAI, SpaceX IPO | Fidji Simo, Dylan Byers, Angela Jiang, Jonathan Slotkin, Aaron Cannon, Karan Kunjur

Episode Date: December 11, 2025

(00:36) - SpaceX IPO (29:55) - Oracle Slides (43:16) - Disney x OpenAI (55:38) - Dylan Byers, a founding partner and senior correspondent at Puck, covers the media industry, including busi...ness and gossip. He discusses the media's tendency toward self-obsession, highlighting how minor gossip can overshadow significant industry events. Byers also examines the personal dynamics influencing major mergers, such as the competition between Paramount and Netflix for Warner Bros. Discovery, and the role of AI in the future of media, noting Disney's partnership with OpenAI to create interactive experiences with its characters. (01:28:01) - Fidji Simo, a French-American businesswoman, is the CEO of Applications at OpenAI, having previously served as CEO of Instacart and as head of the Facebook app at Meta. In the conversation, she discusses her transition to OpenAI, emphasizing her commitment to democratizing AI by transforming ChatGPT from a chatbot into a personal super assistant that can manage various aspects of users' lives, such as travel planning and health management. She also highlights the importance of integrating AI into both consumer and enterprise applications, aiming to enhance productivity and accessibility across different sectors. (01:52:26) - 𝕏 Timeline Reactions (02:10:32) - Angela Jiang, a former product manager at OpenAI who contributed to the launches of GPT-3.5 and GPT-4, has co-founded Worktrace AI, a startup focused on automating repetitive tasks in large enterprises. In the conversation, she discusses how Worktrace AI observes employee workflows to identify tasks suitable for AI automation, aiming to bridge the gap between advanced AI models and their practical application in real-world business scenarios. The company recently emerged from stealth mode, announcing a $9 million seed funding round led by Conviction and 8VC, with participation from the OpenAI Fund and notable figures such as Mira Murati and Jason Kwon. (02:20:40) - Jonathan Slotkin, a practicing neurosurgeon and health system leader, discusses the significant public health benefits of autonomous vehicles, emphasizing that data from Waymo's 100 million miles of operation show a 91% reduction in serious injury crashes compared to human drivers. He argues that widespread adoption of self-driving cars could eliminate traffic deaths as a leading cause of mortality in the U.S., highlighting the need to overcome regulatory challenges and public skepticism to realize these life-saving advancements. (02:35:47) - Aaron Cannon, co-founder and CEO of Outset, discusses his company's AI-moderated research platform that enables enterprises to conduct and synthesize video interviews at scale, combining the depth of one-on-one interviews with the speed of surveys. He highlights Outset's recent $17 million Series A funding led by 8VC, bringing total funding to $21 million, and mentions partnerships with Fortune 500 companies like WeightWatchers, Nestlé, and Microsoft. Cannon emphasizes the platform's ability to deliver in-depth insights rapidly, noting that clients have experienced research processes that are over eight times faster and capture ten times more interviews than traditional methods. (02:46:02) - Karan Kunjur, co-founder and CEO of K2 Space, discusses the company's focus on developing large, high-power satellites to meet the growing demand for advanced space capabilities. He highlights the shift from smaller satellites to larger platforms, leveraging the capabilities of modern heavy-lift rockets like SpaceX's Falcon 9 and Starship. Kunjur also emphasizes K2 Space's commitment to providing cost-effective, high-capacity satellite solutions for both commercial and government clients. (03:00:43) - 𝕏 Timeline Reactions TBPN.com is made possible by: Ramp - https://ramp.comFigma - https://figma.comVanta - https://vanta.comLinear - https://linear.appEight Sleep - https://eightsleep.com/tbpnWander - https://wander.com/tbpnPublic - https://public.comAdQuick - https://adquick.comBezel - https://getbezel.com Numeral - https://www.numeralhq.comAttio - https://attio.com/tbpnFin - https://fin.ai/tbpnGraphite - https://graphite.devRestream - https://restream.ioProfound - https://tryprofound.comJulius AI - https://julius.aiturbopuffer - https://turbopuffer.comPolymarket - https://polymarket.com/fal - https://fal.aiPrivy - https://www.privy.ioCognition - https://cognition.aiGemini - https://gemini.google.comFollow TBPN: https://TBPN.comhttps://x.com/tbpnhttps://open.spotify.com/show/2L6WMqY3GUPCGBD0dX6p00?si=674252d53acf4231https://podcasts.apple.com/us/podcast/technology-brothers/id1772360235https://www.youtube.com/@TBPNLive

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Starting point is 00:00:00 You're watching TVPN. Today is Thursday, December 11, 2025. We are live from the TBPN Ultrudeau. The Temple of Technology. The Fortress of Finance. The Capitol of Capital. Christmas is around the corner. That's why you're here.
Starting point is 00:00:15 You want an update on Christmas. 14 days away. It's Christmas television. Two weeks from today. Presents under the Christmas tree. Holiday. Ramp under the Christmas tree. Ramp.com under the Christmas tree.
Starting point is 00:00:27 Time is money. Save both. Easy to use. corporate cards, bill payments, accounting, and a whole lot more all in one place. Also, SpaceX IPO under the Christmas tree, $1.5 trillion for the big man, for Elon Musk. He's going to raise $30 billion, something like that. That's an incredibly small amount of dilution if he actually goes out at $1.5 trillion. Should be interesting.
Starting point is 00:00:50 I thought he hated running a public company. Just $1.5? Just $1.5. Just $1.5 trillion. He said the biggest number, because you know that there was the whole, like, I think it was in Reuters, Open AI going out at $1 trillion. You got to go a little bit higher. What's just a little bit higher?
Starting point is 00:01:06 He should have done it. He should have done it. I'm going to IPO at $1.1 trillion. Really stick it to Sam. But he didn't. He says he's going out at $1.5. He's got to lose some room for the, for the first day pump. Yes.
Starting point is 00:01:17 Get it up to two. Get it up to three. Yeah. But I mean, in terms of companies that should benefit from the space economy, like is this not the invidia of space? Like what other companies? is there. It's the space company. It's SpaceX. And so 30 billion coming in. Company was doing great. Launch, launch product is fantastic. The rockets go up. They come down. They're putting
Starting point is 00:01:42 sonic booms over Montecito. Apparently. But I think that the actual launch market for anything but satellites, but for anything but data centers has just been a little small. And so Starlink has been the big unlock, of course, for SpaceX. Massive market there. Putting the screws to Verizon, AT&T, and the other telcos. The other telcos, of course, have been noodling on working with a rival, putting up smaller satellites in a sparser constellation with more bandwidth per...
Starting point is 00:02:14 Somebody was talking earlier that to get the same amount of compute as a one-gigawatt data center, you would need 10,000 satellites. That's not that many, though. Starlink has over 10,000 up there already, I believe. Sure, I know. That's actually not that crazy. That seems like completely, that's actually like extremely bullish. Well, there is a, no, there is, there is a pathway to doing it with far fewer,
Starting point is 00:02:37 which would just be like ultra, ultra, long. I don't think they want to do big. I think the whole thing is constellation. That was the, that was the beauty of Starlink was that you could go up there. And because it gave them the ability to have all this residual capability, as Gwynne Schottwell puts it. which is like if the CIA shows up and they want to put a spy satellite on there, or some company shows up and says, like, hey, we want to put something really serious in space.
Starting point is 00:03:03 But we only need 60% of the faring, or we only need 40% of the fairing, or we only need 80% of the fairing. It's like, okay, great, we'll fill the rest of the space with two starlings, five starlings, 20 starlings. Well, we have the founder of K2 Space coming on the show later, raised a quarter of a billion dollars at a $3 billion valuation from T.Rowe Price.
Starting point is 00:03:27 Fantastic. Head of Sophia, Ultimiter, light speed, and some others. So we'll talk more about that then. And we will also talk about fall. Generative media platform for developers, develop and fine-tuned models
Starting point is 00:03:39 with serverless GPUs and on-demand clusters. So in terms of the space thing, I mean, we keep going back and forth on this. Is it just a pump? Is it just a new? narrative? Is it is it a pivot to AI? I don't really care. I think it all comes down to this just idea of like Elon math, you know, the Elon math is always crazy. He's always putting up sort of wild predictions that then may or may not come true. A lot of them are way off. But
Starting point is 00:04:14 at least he's telling a story that's like optimistic about the future. And at least like it feels like that Trace Stevens, like, good quest thing is like, get to Mars is good. If he misses it by five years, at least he's still the first, he's the only person that cares about it, which is great. I went through, I tried to pull the, in true like hit piece fashion, I pulled up all the different, all the different times. He's like made a prediction and then like not landed it or not delivered on time. And it's crazy. The guy loves to rip predictions. He said he was going to put early SpaceX concept, when they started SpaceX, was to put a small greenhouse with plants on Mars as a PR demo before they would even start the company.
Starting point is 00:04:56 That, of course, did not happen. Before starting the company? Yeah, this was like the original thesis was like he went to some, Elon went to some like space, kind of space nerd meetup. It was like, we need to put a plant, a physical plant with a webcam on it on Mars. And if we land that there and we prove that life can live on Mars, we bring life to Mars, it will inspire everyone and marshal all the resources and all the capital and all the excitement to actually go put boots on the ground, which also he predicted.
Starting point is 00:05:24 He predicted humans on Mars by 2024, of course, hasn't happened that we know of. It's possible. It's not going up there. They keep saying that the star, they keep saying the star ships blow up, but maybe one of them didn't. Maybe one of them sneaky, sneaky went off and put a person on Mars. Yeah, it's just the shell of the real ship. I like the inverse, the inverse conspiracy theory. You know, like, oh, yeah, we never went to Mars or we never went to the moon.
Starting point is 00:05:49 No, the inverse conspiracy theory, we're going all the time, secretly. But you're not cool enough to get in on it. You don't have a ticket. Everyone else does, except for you. Because I was just on the moon yesterday, and I'm not telling you about it. First crude Mars landing as early as 2029, a little too early to say. But that one feels aggressive. We're just four years out.
Starting point is 00:06:11 You've got to put a whole crew down there. He also said tourist trips were going to be happening around the moon by 2018. Didn't hit that. Self-sustaining city on Mars of 1 million people, 2050, feels a little early, but I don't know, 25 is a long way right. A couple decades, a couple decades out, anything's possible. I agree, I agree. But then, of course, there's a bunch that he succeeded it. He said that he was going to deliver reusable orbital rockets.
Starting point is 00:06:38 He did it. Yep. And what else matters? At least, you know, you, you know, he's also predicted fully reusable starship with rapid turnaround. It's a little too soon to tell he's behind some of the early dates, but in general, that project seems like it's real. It's going to happen. It's taken a little bit of time.
Starting point is 00:06:58 He has a bunch of other funny ones. But it is interesting how the SpaceX narrative has shifted from first we're going to Mars, then there was the whole, do you remember SpaceX point to point? Are you familiar with us? So there was a pitch for a while. Like a commercial, is this like, this is a replacement for an airliner? You'll just go up and then come down and land? Exactly. So it was like New York to Tokyo in like 30 minutes because you would go so hard.
Starting point is 00:07:24 Insane, right? Insane. So the idea was like you're in men. Imagine imagine being able to commute to Tokyo for some obscure job. It would be amazing. It would actually be remarkable. And there's a whole bunch of economic research that shows that when you increase transportation, reduce transportation times, you really do get an economic boom because people can do business in areas where they couldn't before, even just reducing the time from San Francisco to L.A., from a six-hour drive to a one-hour flight, all of a sudden people can go up and do business, come back the same day. They just get there more often. I had a hot take for a while that if I was the president, I would recommission the
Starting point is 00:08:02 SR-71 Blackbird, which of course goes, I think Mach 3. So you can actually get from D.C. to London in like two hours because this is a supersonic jet. And so imagine that, imagine the presidential SR-71 would go also very hard. Remarkably hard, right? And imagine the aura of, you know, something happens in an, I remember I thought of this because the queen had just passed away very sadly. And of course, the president, was planning on visiting the queen, paying respects to all the people of Great Britain. But imagine if, you know, the news breaks, and it's like, this is important, I'll be there in two hours. And I'm there on the ground. Like, same day, the news breaks. Not, oh, we got to charter the 747
Starting point is 00:08:50 and bring the whole crew and land and I'll see you in two days and it'll be a whole thing. It's like, it's like jumping in the car. Yep, yep. Or imagine these trade deals, these trade deals. Oh, the H-200s are going to China or something's happening in Taiwan. Hey, Siegeng. I'll see you in and out. What happened with the point-to-point program? Has there been any? Oh, well, it's all just predicated. I mean, so the space, the starships are still blown up.
Starting point is 00:09:10 So no one wants to get on those. But in theory, if Starship becomes super reliable. But there was nothing that they never had any comms. It was like, we're scrapping this. No, no, no, no, no, no, not at all. Not at all. It was just like an interesting, it was an interesting, like, back of the envelope, like, bowl case for this, for like the business, basically.
Starting point is 00:09:26 Just saying like, okay, yes, Starship is going to be really good at getting to the moon, getting to Mars, getting a bunch of Starlink satellites in orbit, right? It's a good business, but Elon is always the king of opening up new markets and just kind of saying like, well, what if you was also replacing commercial air travel? And people are like, wait, that's a huge, huge market if you can do that. And of course, if you could make it more economical, who would ever pay for a ticket on a 747 when you could ride a rocket and get there literally 90% fast? Like, it's crazy the amount of time that you would save.
Starting point is 00:10:04 Now, you have to go from Manhattan on a boat, out to a launch pad. You can't take off from JFK. Like, there's a whole bunch of wrinkles. And that's why this is all practically probably like 20 years in the future. But it was one of those famous examples of an Elon project where if it doesn't violate the laws of physics, it eventually will happen. And that's a lot of what's happening with the data centers in space. We need to inference things.
Starting point is 00:10:29 We need to inference things like cognition. and the team, because they are the team behind the AI software engineer, Devin, crush your backlog with your personal AI engineering team. Right now, Devin's inference on Earth. Who knows? Maybe in the future, it's inference in space. I think that the space data center thing, people are still having the debate on, like, is it possible? It's like, obviously it's possible. The question is over under a gigawatt by 2027, which is when the other big clusters come online.
Starting point is 00:11:01 will it be competitive in the short term, in the near term? And then on the flip side, like, you know, if you're a bear, are you saying that it's not going to happen in 20 years? And then, I mean, the big question is, there's one more Elon Gambit that he could run with. One more like, oh, you wanted a fifth act? Just one? No, I mean, there's tons.
Starting point is 00:11:24 But there's one that's really wild, which would be if he straight up said, we're building the Dyson sphere. like we are going to launch Tyler's nodding he's pumped he's pumped are you isn't he the obvious isn't he like the only can't only real candidate well he's the only candidate for everything in space because he has the leading space company by like it's two orders of magnitude I think someone at anthropic has said that the Dyson sphere is uh in the in the plans of Anthropic they weren't trolling I mean I don't know they're they're going to need to acquire a space company if they want to do that
Starting point is 00:11:59 because how do you get the... Isn't the Dyson sphere just a bunch of solar panels around the sun directly capturing 100% of the energy that's put off by the sun? Yeah. I don't think it has to fully...
Starting point is 00:12:10 It's not like there can't be any light coming out. It's just like strips of... Oh, I thought Cardishab 1 is you're capturing 100% of the energy that's hitting your planet. Cardiff 2 is you're capturing 100% of the energy that is given off by your star.
Starting point is 00:12:27 Yeah, actually... So I think... Maybe what I'm talking about is there's a different term. Maybe there are two different things. Maybe Dyson Sphere could just be, okay, you're only capturing 50% or 10% and then Kartashev 2 is you're capturing 100% of the energy coming off your son. Tyler, the chat wants to know. Did we ever find out if this kid, I'm assuming they're talking about you,
Starting point is 00:12:46 is related to Elon? Why would he be related to Elon? I mean, he's got a lot of sons. He's got a lot of sons. Oh, okay, yeah, could be anyone. Maybe. Should we read through this? So Eric Berger over at Artis Technica.
Starting point is 00:13:00 You should also read through the daily newsletter, tech analysis and news daily from TBPN. We're doing ad reads for our own newsletter now. We love that. Get our daily op-ed, top headlines, and best posts from the timeline. Every, I can't read the rest of this, Tyler. Every day.
Starting point is 00:13:16 TVPN.com. Go subscribe. Thank you. I'll send this time. So Eric Berger is writing a piece called after years of resisting at SpaceX, now plans to go public Y. And Elon actually replied to Eric and said, as usual, Eric is accurate. So I thought it was worth reading through this.
Starting point is 00:13:34 Eric says, SpaceX is planning to raise tens of billions of dollars through an initial public offering next year. Multiple outlets have reported, and ours can confirm. This represents a major change in thinking from the world's leading space company and its founder, Elon Musk. Wall Street Journal and the information first reported about a possible IPO last Friday, and Bloomberg followed that up on Tuesday. evening with a report suggesting a $1.5 trillion target valuation. This is an enormous amount of funding.
Starting point is 00:14:00 The largest IPO in history occurred in 2019 when the state-owned Saudi Arabian oil company began publicly trading as a Ramco and raised $29 billion in terms of revenue. Ramco is a top five company in the world. Now SpaceX is poised to potentially match or exceed this value that SpaceX would be attractive to public investors is not a surprise. It's the world's dominant space company and launch, space-based communications, and much more. For investors seeking unlimited growth, space is the final frontier. But why would Musk take SpaceX public now at a time when the company's revenues are surging thanks to the growth of the Starlink internet constellation?
Starting point is 00:14:36 The decision is surprising because Musk has for so long resisted going public with SpaceX. He has not enjoyed the public scrutiny of Tesla and feared that shareholders' desires for financial return were not consistent with his ultimate goal of settling Mars. Next section is called Data Centers. Ars spoke with multiple people familiar with Musk and is thinking to understand why he would want to take SpaceX public. A significant shift in recent years has been the rise of AI,
Starting point is 00:15:04 which Musk has been involved in since 2015 when he co-founded Open AI. He later had a falling out with his co-founders and started his own company XAI in 2023. At Tesla, he has been pushing smart driving technology forward and more recently focused on robotics. Musk sees the convergence of these technologies
Starting point is 00:15:19 in the near future, which he believes will profoundly changed civilization. Raising large amounts of money in the next 18 months would allow Musk to have significant capital to deploy at SpaceX as he influences and partakes in this convergence of technology. How can SpaceX play in space? In the near term, the company plans to develop a modified version of the Star-like satellite to serve as a foundation for building data centers in space.
Starting point is 00:15:42 There you go, John. Musk said, as much on X in late October, quote, SpaceX will be doing this. But using a next-generation Starlink satellite manufactured on Earth is just the beginning of this vision. The level beyond that is constructing satellite factories on the moon and using a mass driver, electromagnetic railgun, to accelerate... Explained to us in the show. To accelerate AI satellites to lunar escape velocity without the need for rockets. Must said last weekend on X,
Starting point is 00:16:12 that scales to 100 terawatts a year of AI and enables non-trivial progress towards becoming a Kardashev to civilization, based on some projected analysis. SpaceX is expected to have in the neighborhood of $22 to $24 billion in revenue next year. $65 times revenue is what you'd be paying if SpaceX goes out at $1.5 trillion. For reference, 65x revenue for SpaceX,
Starting point is 00:16:37 Nvidia is the 24X revenue to market cap, market cap to price to sales. So like twice as expensive as Nvidia, but also, you know, probably, like, even wider lead to the rest of the industry, newer industry. I don't know about the margins, but potentially higher margins. And, again, earlier in this article, talking about, like, you know, space being... More vividly, right?
Starting point is 00:17:09 Anyways, that is a lot of money. It's on par with NASA's annual budget, and SpaceX can deploy its capital far, far more efficiently than the government can. So the company will be able to accomplish a lot, but with a large infusion of cash, SpaceX will be able to go much faster. This is the thing that I'm not certain on. Like, has SpaceX been capital constrained, or are the capability constrained? Like, I don't, it hasn't been clear to me. Clearly, there's been, like, infinite demand for SpaceX equity for a very long time, so much so that people are, you know,
Starting point is 00:17:44 investing in triple-layered SPVs just to get, you know, and enduring massive fees, just to get a taste. But so, so, yeah, the question is, like, how does this massive capital infusion actually accelerate the business that much, or is it just the right moment in time for a number of reasons? Well, you know that SpaceX, whenever they launch, they stream their launches, they got to be on re-stream, one live stream, 30-plus destinations. If you want to multistream, go to Restream.com.
Starting point is 00:18:19 Abbey Trapathy, a long-time SpaceX employee who is now Director of Mission Operations at the UC Berkeley Space Sciences Laboratory, believes that once Musk realized Starlink satellites could be architected into a distributed network of data centers. The writing was on the wall. That is the moment an IPO suddenly came into play after being unlikely for so long. If you have followed Elon's tactics, you know that once he commits to something, he leans fully into it. Much of the AI race comes down to amassing and deploying assets that work quicker than your competition. A large war chest resulting from an IPO will greatly help his cause and
Starting point is 00:18:54 disadvantage all others. Yeah. What's interesting is, so I totally get that SpaceX was never crazy, crazy capital constrained, even though like building a massive rocket, that feels like so expensive. It feels so expensive. But at the same time, they've just been able to raise the money and it just hasn't been a problem. And of course, uh, the, like SpaceX as a business generates a lot of revenue. Like, like, like, some of the, some of the contracts with the government are in the billions. And, and then Starlink is just throwing off, it's telecom. So it's just throwing off tons and tons of cash. Um, I mean, it's incredibly expensive to get the constellation up there, but you do have cash flow from it. And it's effectively, uh, you know, like I'm, I've been
Starting point is 00:19:39 subscribed to Starlink for like a year or two. I never use it. I'm basically, 100% margin for them, right? And I use it just as like a backup in case the internet goes down, I have it. Yeah, and you just look at the growth opportunity in effectively telecom. You have T-Mobles, a $217 billion business that is threatened by Starlink.
Starting point is 00:19:57 AT&T is $172 billion business. And Verizon is $170 billion business. But I think the reason you need $30 billion like sort of paradoxically or counterintuitively might not be to build more rockets. It might be to actually just buy the GP
Starting point is 00:20:13 because like in theory if you're putting a GPU in space like Elon SpaceX doesn't make those GPUs they don't just pull them out of thin air they got to buy them from somewhere and if they're buying them from invidia those are expensive and you got to buy a lot of them and for to make a dent in like let's assume all the physics works let's assume that the launch costs are cheap all the math works out well if you're putting a gigawatt of compute in space you probably have like a billion dollars of hard costs just on the chips or something like that. I don't know the exact number. But you can imagine that you raise 30 billion. The business is humming, but you still have to outlay a ton just for the GPUs. And so, yeah, you do have a new consumption for
Starting point is 00:21:00 cash. Anyway, let me tell you about public.com investing for those who take it seriously. They got multi-ass investing in there's trusted by millions. Did you want to review? Do you think that XAI gets rolled into SpaceX or Tesla? That's the hard part. I thought it was going to be Tesla for sure, because Tesla has the lineage. They have their own chip. They have massive data centers to train AI models for full self-driving. It felt like such a logical place for XAI to land, but now maybe it lands at SpaceX. I don't know. Yeah, if SpaceX becomes the data centers and space company, and they're effectively reselling. Yeah. Also, I mean, I don't, it feels like there's some sort of, you know, arcane truth about, you know, consolidation where it might be not, it might be less of a headache than people think to have different entities. Like, if you think about, I mean, certainly like Stargate is a separate entity from opening eye. I'm not even thinking about it as a headache. It's just more so like XAI needs to get quite a lot more track. I think in enterprise and consumer. Somewhere, yeah.
Starting point is 00:22:14 But yeah, effectively somewhere needs to become like the dominant, a dominant lab in at least one domain. Otherwise, I think it will just make sense to roll into one of these other. Yeah. Well, we should read through some of the history about founders' funds investment in SpaceX because it might be one of the greatest, it might become the greatest venture capital investment of all time. all time. It certainly feels like it's in the running. This is from Nico Wittenborn.
Starting point is 00:22:42 It says Founders Fund investing $20 million out of a $220 million fund too, which also invested in Palantir and Spotify early is just nasty. And Dan Premack says, flashback to chatting with Founders Fund, Luke Nosek, when he led the first investment in SpaceX from an old PE week Wire newsletter in 2008. I can't believe... PE Week is... I read that newsletter back, not in 2008, but like... back then. Wow, Primax been in the game for a long time. So, he says, I spent some time on the phone earlier this week with
Starting point is 00:23:14 Luke Nosec of the founders fund, which it used to be. They had the, the they dropped it. And then there's also an apostrophe here, which I think has been lost at some point. I don't know. To discuss his firm's $20 million investment in private space launch services provider
Starting point is 00:23:30 SpaceX. The company is run by Elon Musk who co-founded PayPal along the founders partners, a few questions and answers. Founders Fund usually invests no more than a few million dollars in a company. Why invest $20 million when your fund is only $220 million? Luke, we obviously have internal caps that we follow. What we do is look at how much a company needs and invest that much.
Starting point is 00:23:53 For example, we only invested $500,000 in Facebook because that's how much it needed at the time. A lot of firms were offering more. Dan says most of the companies, you back have some sort of internet angle, which makes sense, given your PayPal background. but what do you know about rocket science? Oh, there's no internet angle in SpaceX? No one predicted the internet angle but it is remarkable that a bunch of internet guys
Starting point is 00:24:17 fund a rocket company and then it just becomes an internet company and it's an ISP and now it's a data center company and everything collapses down to the internet. And it's the Joe Wisenth, I'll take. AI will get every resource that it needs. Like the internet needs, internet is the business model for everything.
Starting point is 00:24:33 It doesn't matter if you invest in a space company eventually you're going to be an internet business. And so, Luke answering about the rocket science question, he says, the most important aspect to us is the team. Remember, the PayPal founders didn't have banking experience. Dan, Elon has put over $100 million of his own money into this company. That is crazy. They'd already burned 100 mil, and then Founders Fund comes in with 20.
Starting point is 00:25:00 And develop both the Kestrel and Merlin engines, which are the first new rocket engines developed in the U.S. in a very long time. When we did due diligence, we wanted to speak with other investors of successful new rockets, but they were all dead. I love that. Yeah, so we have to, we're going to be the first year. Dan, your announcement of the funding
Starting point is 00:25:21 just came days after SpaceX had yet another launch failure there. Any worries, any worries, Luke? Says Dan. Luke says, no. There are obviously going to be some technical kinks like an exploding rocket. but they get amplified because rocket science is more binary than would be a technical kink with a website. Either the rocket gets into orbit or it doesn't.
Starting point is 00:25:43 The team has some very smart people and they'll make more. Anybody that ships just regular old SaaS should have a huge amount of sympathy for anyone in hard tech is launching any type of app and not having a single bug. Even a single like critical bug is tough. At least like at least you know early early days and of course critical bug. in aerospace is quite explosive. Well, let's move on. So I did want to pull up. So just the estimates, FF is estimated to own 10.4%
Starting point is 00:26:18 so we can just keep it at 10. That means that this initial, it's not, and again, they've invested in multiple rounds since then. Historically, like the greatest venture investment ever, in my view, was Masa's 20 million investment in Alibaba. That's true. turned it into $70 billion at the time of the IPO. Hard to, I wonder if we can figure out how much.
Starting point is 00:26:40 FF owns about 10% of SpaceX. But I don't know how many, they've put in billion. Oh yeah, yeah. To maintain that stake, they put it on. So again, it's still like going to be $150,000 billion position. Just the carry check alone will be nasty, as Nico says. Delaisal.
Starting point is 00:26:57 Wow. You hit the gong for the old FF room? Former boss? Yeah, let's hit the gong. John's former boss. My former boss. How does he do it? How does he do it?
Starting point is 00:27:14 Yeah. Well, really quickly, let me tell you about profound, and there's big news today from Profound, the company that helps brands show up more often and more accurately in AI platforms like ChatGPT. They've just announced their new workflows product, which lets marketers automate jobs. like research, reporting, and content generation to drive, even greater discoverability wherever people are searching. You can check out workflows and marketing that runs itself. I was texting, I was texting the CEO of Profound James last night, and he was giving me an
Starting point is 00:27:51 update on the business, and he shared just like a clearly copy and pasted it, like the new customers that they had signed, and I don't think we can share all of them yet, but it basically look like every company in every company, every big company. It looked like they had them. They already are working with MongoDB, Indeed, Mercury, DocuSign, Ramp, Sapir, 8Sleep, US Bank, Figma, Siki, LG, so many of these different, different, you know, companies are choosing profound, and we feel lucky to be partnered with them. Here's a good post from just another pod guy. We could sprinkle this in before we move on to Oracle, just thought this was an interesting point of view. Elon is not really a person.
Starting point is 00:28:38 He is the human embodiment of network effects. When you've been operating at that level and breadth that he has been, you aren't really dealing with an individual. You're dealing with a deep bench of talent and capital with a comms guy who is addicted to Twitter and its head. The same warnings about underestimating Trump, the person versus Trump's cabinet apply to must but 100x and with far less irrationality injected and with a much higher caliber of people. Does he overpromise? hyperboise, of course, but I would guess the median IQ and depth of expertise of the bench around Musk is higher than that of any nation state. I thought this was obvious to most people. It's just crazy how, like, yes, you just have to accept the overpromising, the overhyping and
Starting point is 00:29:23 stuff, but recognize that it's like no one else is trying, really. There's very, very few people. Well, they're trying. Yeah, but in terms of like the real people making a run at a lot of these crazy ideas, like they're just, it's incredibly thin. It's incredibly thin. There aren't that many people. There are a lot of people that, yeah, just, just don't take it seriously. But anyway, let's move over to one of Elon Musk's best friends, I believe. They're boys, they're boys. Elon can count on Larry for a billion or two over text. So Larry Allison is addressing, he's sitting on stage here in this Wall Street Journal article on the news that Oracle's shares have tumbled as AI spending outruns returns. So Oracle is facing mounting anxiety
Starting point is 00:30:11 from investors about how much it's spending to build out data centers for the artificial intelligence industry. The cloud computing company's revenue and operating income for the most recent financial quarters fell slightly short of analysts' expectations, while the company raised its spending forecast, adding fuel to concerns over the timeline for turning the AI industry's ravenous demand for computing capacity into profit. before we continue this article, let me tell you about graphite.dev, code review for the age of AI. Graphite helps teams on GitHub ship higher quality software faster. So, I mean, this is all part of this, I think investors didn't realize that like when you do
Starting point is 00:30:51 one of these crazy AI deals, you have to go build the data center, and then you have to wait, and then you have to get power, and you have to buy the chips, and the chips have to ship, they have to rack the chips, and then you've got to turn it on, then you've got to test it. And then you can generate some. tokens and hopefully sell them. All well, enterprise AI adoption might be stacking. We'll see. There was some crazy data out of ramp today. A. Karazian, the economist over there. At least some businesses might be saying, we've got enough AI. We like it, but we have enough. Apparently, 55% of businesses are just, like, good without paying for AI. I mean, the paying
Starting point is 00:31:27 thing is the key. At least directly. The paying thing here is. So basically, and just the examples, like a lot of businesses don't pay for cloud, but they effectively pay for cloud because they pay companies that leverage cloud to deliver their products. But it's an interesting chart to see where enterprise AI adoption is going. This is from Ara Karazian over at Ramp. He says, Ramp AI's AI index shows AI adoption held flat at 45% of businesses in November, driven by slight declines in finance and technology sectors by the model. Open AI went down negative 1%.
Starting point is 00:32:03 Anthropic up 0.8% and Google went up 0.7%. And so you can see that this chart in 2025, Open AI had a big, big jump. And then just has been flat for the last couple months, a little bit down. Anthropics been on a much smoother,
Starting point is 00:32:25 it seems like they didn't exist in 23, basically, or maybe they didn't have a paid plan that really appealed to businesses. Then 2024, you see some slight growth here. And then 2025, a much smoother, like, okay, uptick, growing more, growing, more, growing more, kind of all keeps up with this, you know, they've been 10xing every year, like an Instagram hustle account. But opening I had a massive spike at the start of 2025 and then has been a little bit flatter. But it is interesting.
Starting point is 00:32:56 I wonder how much you read into this. So ARA has a take here. We should go through before we do. Let me tell you about fin.a.I. The number one AI agent for customer service. Automate the most complex customer service queries on every channel. So he says, adoption is flat.
Starting point is 00:33:13 Is the bubble popping? And he says, I'm not calling it yet. The slowdown comes at the end of a rapid run up in adoption rates in 2025, which coincided with a significant step change in the capabilities of these models. Now the effect of the latest advancements has faded. If we want to see another run-up in adoption, we would have to see at least one or two-step changes. Technological gains, the models get even better, spurring faster adoption, or implementation gains.
Starting point is 00:33:38 Early adopters figure out the best use cases for AI, and the rest of the market follows driving incremental adoption. Both are likely, the latter even more so, as adoption actually rose in several industries with relatively low adoption rates like retail construction and manufacturing. Is Google's AI good now? He says it's still underrated. Adoption of Google's Gemini rose 0.7%. Its second highest monthly increase on record. And then he says, what's going on with Open AI? He says he cautions an overreaction to the latest results, which show Open AI adoption dropping while Anthropic and Google adding new users
Starting point is 00:34:10 and what that means for Open AI's business. I've learned a lot covering how companies buy and use AI. Mainly, this market changes rapidly in the typical rise and fall timelines of companies does not apply here. Open Android Android rapid adoption of growth in 2025, in many ways emerging as default spend category for businesses, and it's not unreasonable to think that rate would normalize as competitors find their fit in the market. Also, there's just a lot of... Overall, the interesting thing is every, like, it seems to be pretty obvious
Starting point is 00:34:42 at this point that the model is just getting smarter is not going to, by default, make adoption like accelerate massively again. They need to become more useful. They need to be able to, you know, Dorcas has talked about this, like they need to be able to learn on the job, basically, in the way that a human does. And I think until we have that, there's some thing, you know, the forward-deployed engineer movement
Starting point is 00:35:06 of like having people out embedded in companies, like trying to unlock the potential of the models. That's great. But I think the models actually just need to become generally more useful. Yeah, more useful. I don't know. Yeah, it's tough. I mean, when I look at those,
Starting point is 00:35:24 When I look at the number, like the headline number, it's 45% have adopted, have paid for AI chat apps, basically. You know, he's tracking OpenAI, Anthropic, Google, and XAI on there, a few others. And you flip that around, and you're like, 45% of businesses don't pay for AI, don't use AI. And the question is like, are they just not using AI at all, or are they just good with free? Because if you told me like 55% of companies are in sort of like a private equity, scarcity, wartime mode where they're watching every dollar that goes out of the door, even a $20 subscription is something that will be scrutinized because, you know what, like the son, we've been running this business for a generation. We're not going to spend frivolously every dime that goes through our business is precious. And so we're not just going to go sign up for whatever. don't just spend, spend, spend.
Starting point is 00:36:25 You need to really understand if this is valuable. And you know what? If the particular business we have, we have a specific POS system, we have, we don't have that many unstructured questions, right? Realistically, it's like we're not doing a lot of random email, a lot of random research for our business. It's more like, you know, customer comes in,
Starting point is 00:36:43 take their order, put it in the POS system. Yeah. Charge them, go do the thing, which AI is probably not, you know, replacing. So it's interesting, but it is, one of the cool factors about this are Karazian report is that it comes from ramp customers, who I don't think of as, I think of them is a little bit more forward thinking than the general population. Like if I were to say that there's bias in the data set, I would say it's biased towards
Starting point is 00:37:10 like being open to AI. For sure, for sure. Right? Yeah, if, I wonder if a company like Amex would look at their data of like AI adoption, just for cohorts that signed up for Amex over a decade ago, you would expect it to be lower. Yeah, or even putting Amex aside, like a community bank. Like, because if I go to my local laundromat and I ask, like,
Starting point is 00:37:36 what corporate card do you use? They're probably like, we don't do corporate cards here at all. In fact, we have a relationship with the local bank down the street, and they put up the mortgage for the building, and we write checks or we do cash. using a debit card. Yeah, exactly. Or if they do have a credit card, it's probably from the local bank branch. It's not, like, they haven't built, like, their whole system. So, yeah, it's fascinating to read into. I do think there is something to be said to, like, I do think there, there is a bit of a slowdown here. Like, it's not accelerating. And it is real.
Starting point is 00:38:08 That there is, it's just getting harder and harder to justify, okay, it's a no-brainer to bring it in. It's a no-brainer to pay for it. Part of that's the competitive dynamic of, you know, 50% of the value from AI, you just get Google search down. It's also what are you getting out of some of these, if you're a business that's not doing co-gen, you're not generating a bunch of assets, et cetera. And somebody says, hey, for $20 a month or $100 a month, you can get somebody that's Ph.D. level and math, but extremely low agency. You have to like tap, you have to tap the person on the shoulder. I like the laundromat. The laundromat's like, actually, I don't need somebody who's PhD
Starting point is 00:38:49 You know what? Sir, this is a laundry man. We've been running this laundromat and this family for 45 years. And I've never run into an IMO gold medal level problem ever in the... I bet there are. I bet there actually are. I bet, I bet, I bet, I bet, uh, I bet, uh, I bet, uh, I bet, uh, I bet if Mark Chen wanted to create a laundromat. Allocation of laundry. Yeah, need efficiently. I mean, if you have a big load of laundry, yes. Yes. How do you split it across? distribute it between. Okay, yeah, yeah, no, that makes sense. But, yeah, so you have, like, you have a robot on your computer that is incredibly, incredibly smart and incredibly low agency. They can't learn on the job.
Starting point is 00:39:27 You have to, like, tap it on the shoulder and say, hey, do this, okay, now do that, now do this, do that. And it's like, well, a lot of these businesses don't have, again, these problems that need that level of intelligence. And they need people that are, that are even, have some level of agency and not even max out on intelligence, but can just kind of like chug away and learn on the job and get better. Or they need SaaS products that have AI functionality built in, right? And so to them, it's just, oh, yeah, my POS system just flagged a couple more fraudulent orders
Starting point is 00:40:00 and took care of that, or like ramp, you know, it's like, yeah, my receipts get classified better, but I'm not like a direct user of AI. Maybe they need to be on numeral. Numeral.com, compliance handled, numeral worries about sales tax and VAT compliance. so you can focus on growth. Disney is investing $1 billion in Open AI. Before that, before that, I do think it's notable. So Oracle's remaining performance obligations,
Starting point is 00:40:27 which we know refers to contracted revenue not yet recognized, is $523 billion. Currently, their stock is trading at $500. Worthy of a gong hit, sure. But currently the stock is trading at only $560. $68 billion. And so I just look at this as like Oracle continues immediately when they announced this backlog. They got a bunch of credit. It was almost immediately. And it has basically just been downhill ever since as the market has basically said, we're giving you less and less
Starting point is 00:41:02 and less and less credit here. And to the point where in many ways they're getting like negative negative credit for the partnership. That was the financial times take. The deal is worth negative $7 billion. Yeah. And there, I think. think that the way that they framed that title was not entirely. It's definitely edgy. It's a blog. It's Alphaville. They're having fun.
Starting point is 00:41:23 But. And then I, so I have one more, I have one more post here that's relevant. So suspended cap says, I got to feel like that at some point Oracle Larry was misled. Was it Open AI showing him something in the lab? Was it Jensen lying about token prices? Or was it a partnership that was supposed to happen that didn't? It's always been clear to me that this was a race to the bottom. Why would you want to take these economics that someone as sophisticated as Microsoft was happy to pass off?
Starting point is 00:41:48 Remember? I've said this a bunch on the show. Satya has more information. He owns OpenAI's IP, right? He's been serving open AI models. He's been, you know, running an AI, you know, it's one of the most scaled platforms, right? He has more information than anyone in the room. Momentarily, he looked, he didn't look at when Oracle announced.
Starting point is 00:42:13 this backlog and the stock jumped, however many hundreds of billions. Everyone was kind of like, wait, did Satya miss this? And I think the market is maybe realizing some of his wisdom. Yeah. Suspended cap says, Jensen's whole thing is that the rat costs $4 million, and you make $20 million. You net $16 million. No one can make you $16 million.
Starting point is 00:42:34 But a lot of assumptions baked into that. Someone has to pay you $16 million for however many trillions of tokens you can spit off. If a token is a commodity and someone can serve it at 50%, lower than now. It's net plus 6 million on the 4 million of costs. What if the dollar's paid for the infra results in massive losses for whoever is purchasing them is the assumption that the capital will just keep funding it. Maybe they will. I actually think they will, but I'm just confused at what Oracle thought they saw here.
Starting point is 00:43:01 Well, story's not over. Let's move on to TurboPuffer, serverless vector in full-tech search, Belcrum first principles on object storage, fast, 10x cheaper, and extremely scalable. So Joanna Stern has a little bit of a screenshot take joking around about Disney, which is investing $1 billion in Open AI, and is going to license their characters for use in SORA. She says, look at this hype. Isn't it neat? Wouldn't you think my bubble's complete? I think that's from some Disney song. I actually don't know, but just the cadences. Do you have any idea what's like Santa Claus is coming to town? No, definitely not Santa Claus is coming to town. That's not a Disney property. Is it? Oh, yeah.
Starting point is 00:43:46 But the tune you were singing sounded like that. That's just because I'm bad at singing, I suppose. Okay, let's see if Grok can crock it. Let's see. Okay, anyway. Oh, is this frozen maybe? Look at this in. Isn't it neat?
Starting point is 00:44:00 Do, do, do, do. Okay. Accompanied, I don't know. Someone will have to tell us anyway. So Disney's making a $1 billion investment in Open AI and will allow the AI platform to use its character and properties to generate short user-prompted social videos. Henry says it's from The Little Mermaid.
Starting point is 00:44:19 The Little Mermaid. What is the original line from The Little Mermaid? Look at it is... Okay, anyway. Disney's three-year licensing deal will let users generate videos using SORA, OpenAIs short-form AI video platform of more than 200 Disney Marvel, Star Wars, and Pixar characters.
Starting point is 00:44:39 A curation, a curated selection of these short videos will be available to stream on... Disney Plus? Whoa! That's the bombshell there. I didn't realize that. Because when I think about going to SORA, it's very fun to make a mash-up video of Mickey Mouse fighting Iron Man or something like that. And that's something that doesn't make sense to underwrite within Disney. They're not going to spend the time. The CGI is too expensive. It's just not going to happen. But for a kid who loves, you know, a Pixar character. They wants to see, you know, Wally join the Avengers and go fight Thanos. Like, that could be a delightful, delightful experience for a young child who's
Starting point is 00:45:24 who enjoys Disney's IP. And yet it could make no sense for Disney to actually create that. It makes a ton of sense that they would allow this to happen in SORA, in sort of a, in a way where the economic value is accounted for appropriately. Now, you can debate with a slop, but I just think the idea that this is going Disney Plus is crazy. That's the crazy thing. Because, I mean, we covered this when we were talking about SORA generally, just this idea that is it a creation tool or is it a consumption tool? And we were saying, I think, pretty quickly, that this doesn't feel like an app that we're going to hang out in. Everyone in the studio was having a lot of fun.
Starting point is 00:46:08 we checked their screen times a few days later, no one was scrolling SORA or more meta-vives for that. But we continue to see outputs from SORA going pretty viral on other platforms. Totally. Even within our own, like, group chats. Like, what's been the most impactful SORA video that you've probably seen in the last couple weeks, like me making a SORA video of myself promoting John Fio's energy drink company in a suit, and I just sent it to him directly.
Starting point is 00:46:38 in a group chat and it didn't exist and it wasn't funny in any in any broader context. Now the weird thing is that is there real demand for SORA level quality content in the Disney Plus app? Like I, when I open the Disney Plus app,
Starting point is 00:46:57 I feel like it's a place that it has extremely high polish. And I feel like it's a safe place. Ultimately, to me, what's exciting about this is personalized entertainment and which is why I think that Disney would be interested in doing this
Starting point is 00:47:14 if Tyler figured it out with Henry's help the line earlier was look at this stuff, isn't it neat? Wouldn't you think my collection's complete from the Little Mermaid part of your world? But if somebody loves the Little Mermaid and then you can prompt a really high fidelity personalized video for like your kid
Starting point is 00:47:34 saying like it's time to do the dishes and singing a little song, right? That's the kind of moment that I imagine Disney would be excited about. Of course, this will be immediately abused in a thousand millions of different ways. But I'm sure they'll put a lot of guardrails in. One thing that's notable, this went out this morning.
Starting point is 00:47:59 Disney accuses Google of using AI to engage in copyright infringement on massive scale. Disney sent a cease and desist letter, to Google, demanding it to stop the infringement. So, yeah, basically the article says, as Disney has gone into business with OpenAI, the Mouse House is accusing Google of copyright infringement on massive scale,
Starting point is 00:48:19 using AI models and services to commercially exploit and distribute infringing images and videos. On Wednesday evening, attorneys for Disney sent a cease and assist letter to Google, demanding that Google stopped the alleged infringement. Quote, Google's infringing Disney's copyright on a massive scale by copying a large
Starting point is 00:48:36 corpus of Disney's copyrighted works without authorization to train and develop Gen AI models and services and by using AI models and services to commercially exploit and distribute copies of its protected works to consumers in violation of Disney's copyrights. So the letter continued, Google operates as a virtual vending machine capable of reproducing, rendering, and distributing copies of Disney's valuable library of copyrighted characters and other works on massive scale and compounding Google's blatant infringement. Many of the infringing images generated by Google's AI services are branded with a Google's Gemini logo, falsely implying that Google's
Starting point is 00:49:14 exploitation of Disney's IP is authorized and endorsed by Disney. So the question, so Disney's not just allowing OpenAI to generate these assets, but they've actually invested. And so the immediate question is, will Disney do any of these licensing IP licensing with other platforms. It doesn't, this kind of lot, maybe. It feels like we're in the press release economy all over again. Yeah, I don't know. It does feel like Disney's sort of like picking a winner here in AI video. And they're saying, like, we like Open AI and we don't like Google, which is sort of a sort of a bold, a bold move. You would think that they would be a little bit more platform agnostic. I'm fascinated by this. Then again, Thrive Capital, bet. Bet, that's
Starting point is 00:50:03 the fund in some ways on OpenAI, who's co-owner of Thrive? Bob Iger. Remember he bought that he was part of a small cohort that bought a few points of Thrive? Get out the red string. It's all connected, of course. Get out the board. Get out the board. You were right, by the way, on the structure. So Disney's putting a one billion dollar investment in, but they're also getting warrants to buy more stock in Open AI at its current $500 billion. valuation. So there's a little bit of opportunity in the future if the valuation goes up, they'll get a good deal there. I really can't get over this Disney Plus news. I really, okay, it does say a curated selection. So I think that I would be very upset about the idea
Starting point is 00:50:52 that I would open if I... It's just a random selection of whatever's going. You know where I'm going. Yeah. Like, I think that Wally is a film that is a film that is, Like, I think it's art. I think it's art. And I think it's okay for my children to watch Wallet. You studied Wallet. Yes, yes, yes. But I do.
Starting point is 00:51:12 You took notes. I do think that a lot of the Pixar films and a lot of the Disney films, they have an opinion, they have craft, they have something that elevates the humans experience, the human, like, it is not purely brain rot. It's not slop. And if you were in a funnel where you watch something that's a great, interesting film with a, opinion with something to say and then it's like do you want to continue watching five four three two one and then it's just blasting you with the craziest sora mashups possible like you're going to make a lot of parents very upset uh so this better be in another tab but i do i do like that they said it's it's curated because as long as there's like some sort of human in the
Starting point is 00:51:56 loop to like say like hey that's they clearly jail broke on that one because you know people are going to get crazy with this yeah they're going to have every does every Disney character doing the little Yachty walkout, you know? Okay, that's actually okay for the kids. I fully support that. Coffin is a banger, and I'm good with that. But no, I mean, YouTube kids famously went through a really, really dark period with Spider-Man and Elsa mashups and that were very suggestive and bizarre. And it's been a game of whack-a-mole for a long time.
Starting point is 00:52:25 And I think people don't expect when they open up Disney Plus, they don't expect it to be a game of whack-a-mole. They expect it to be curated. and so Disney really needs to continue to instill this idea that they are curating. Yeah, so Disney has sent cease and desist letters to meta, character, AI, as well as against Mid Journey and some other companies. Yeah. I wonder, have they ever sent a cease and desist to Open AI? Oh, I don't know. But they should have because early, as soon as Chad GPT launched, I was having it create stories of, you know, Spider-Man.
Starting point is 00:53:08 I was particularly a fan of the deliberately IP infringing. So I'd be like write a bedtime story for my son where, you know, Spider-Man teams up with Superman, which of course cannot happen because those are rival intellectual, rival pieces of intellectual property, some owned by Warner Brothers, some owned by Disney. and so you cannot ever have those cross into the same multiverse. According to Google, Gemini, which Disney has now sent this cease and assist to, Disney has never taken any type of legal action against Open AI. They picked their, they picked aside. Well, fortunately, we have someone who can add a lot more context here. We have Dylan Byers from Puck News joining us in person in just a few men.
Starting point is 00:53:59 whenever he's ready. In the meantime, let me tell you about Gemini 3 Pro, our sponsor, Google's Most Intelligent Model yet, state-of-the-yard reasoning, next-level Vododododed, and deep multimodal understanding. Let's pull up this clip, Bob Iger and Sam, we're on CNBC this morning. We can pull it up. This is a 12-minute video. Can we play some of this and see if there are key moments there, and then we will bring in Dylan? Yeah, so the current deal is a three-year license with exclusivity for the first year. So again, it's very possible that a year from today, Google ends up with the same ability to leverage Disney IP. Disney will set and evolve the guardrails for how it's 200 characters will be used. One year exclusivity doesn't seem like that big of a
Starting point is 00:54:50 deal to me. Because V-O-3 and Nanobanana are barely rolled out into YouTube. Like, you can put them in shorts, but it's kind of a creative tool. Like, YouTube does not seem like we got to win the AI vertical video game this year. This feels more detrimental to Facebook and meta than OpenAI, or than YouTube, honestly. Anyway, let's table this video. We can come back to the clips. I'm sure it will be clipped more in more precise detail. Instead, let me tell you about Adio, the AI Native CRM.
Starting point is 00:55:24 Adio build skills and grows your company to the next. And let's bring in Dylan Byers from Puck News. Dylan, thank you so much for taking the time to come down to the Ultradome. Here to see you in person. Welcome, welcome. Please have a seat. Thank you. And maybe you could kick us off with a little bit of an introduction on yourself.
Starting point is 00:55:45 However you describe yourself these days, whatever's quickest. I'm a senior correspondent for Puck. Okay. Where I cover the media industry. Yeah. media business, media gossip. How is covering the media different than covering the oil and gas industry or tech or anything else? More navel-gazing, more incestual.
Starting point is 00:56:09 Because you're in the media, you can... Are you doing the navel-gazing, or are you reporting on naval-gazing? I navel-gazer at the naval-gazers. Okay. It's sort of an oral boros of naval gazing. Interesting. Yeah, very incestral. Has Naval Gavesing been the top story over the last couple of weeks, or is it more deal-making?
Starting point is 00:56:32 Well, here's what's amazing. It's amazing that at a time when, like, Paramount and Netflix are going to war for Warner Brothers Discovery. Yeah. The media industry is obsessed with, like, Ryan Liz and Olivia Nutsi. Oh, yeah, that's a big one. Barry Weiss. CBS. Oh, yeah, yeah.
Starting point is 00:56:48 The media industry is funny because it has a way of the smallest, most inconsequential gossip has a way of consuming the industry at large. That doesn't feel like what the last couple months have been, though. Like the Olivia Newsie, Liz's a thing, like that feels like much bigger than some small story. Is it really, it used to be bigger. So part of it, part of why media loves covering media is media likes to cover things that get a lot of attention. And media businesses in their very nature, their job is to get attention. attention.
Starting point is 00:57:23 So everyone knows. I think that's part of it. I just think we're obsessed with ourselves. Yeah. But an example I would give, very often I'll find, like, a fashion brand that is like a household name will have like $5 million of revenue, right? Oh, yeah. It's because they're just like people like fashion.
Starting point is 00:57:42 It gets shared a ton. And so I think it's a very... Same thing with individual influencers. Like, they might be recognized on the street. If you put them in a headline, it's going to get clicks versus if, if I was like, I have a report here on a oil and gas company that's doing 50 million a year, you'd be like, no one's going to click on that. No one knows what that company is. People need stories. People need like, you need personalities. Yeah, yeah, yeah. The media lends itself to that.
Starting point is 00:58:07 Yeah. Yeah. Unfortunately, you can do that at the executive level with the Paramount Netflix WBD deal. You can do it down on the newsroom floor. Yeah. I think people need personalities to make these stories human. Also, there's just, you know, there's only so much intrigue in numbers. Do you feel like the Paramount Netflix, Warner Brothers story has been particularly personal? Have you been focused on it? 100%. It's the most personal at that level, at a major M&A level, even more so than when Bob Iger and Brian Roberts went to war for Fox, which was personal too and had a lot of subplots there, especially on the Murdoch side.
Starting point is 00:58:46 Of course this is personal. You've gotten David Ellison, a guy who is basically standing. staking a lot of personal money, a lot of his dad's money, trying to get this asset, and then being, doing all the right things, sending all the right signals to David Zaslov and the WBT board, having all the right dinners, going to all the right fights, and then being sort of spurned at the last minute for someone else. And that negotiation and the Trump element and the relationships between Ted Sarandos and David Zazlov and then David Ellison and Larry Ellison, it's like,
Starting point is 00:59:21 It's absolutely fascinating. So do you think, I mean, there is a world where selling business, it should be purely economic, right? Yeah, and it will be. It will be in the end. The funny part is like the personal element is there, but at the end of the day, whoever spends the most money is going to get the asset.
Starting point is 00:59:41 But if you're more personal, you might be able to marshal more capital. You might know more people. You might be more, more people might be willing to rally behind you, And we're kind of seeing that with Ellison, pulling in folks all over the board because, you know, he's has personal relationships with that. Is that roughly right? That's roughly right. I think that, I think what you have, my partner, Bill Cohen put it really elegantly.
Starting point is 01:00:06 You've basically got a company with a $400 billion valuation going to war with a man with $400 billion valuation and Larry Ellison and his son. And, yeah, marshalling the capital for it. it, you know, with Gulf sovereign wealth funds and Jared Kushner and all that is interesting. And at a certain point, Netflix is going to reach a threshold for what it can compete with. I mean, another point Bill made is at a certain point, if Paramount were just willing to come in and offer like $34, $35 a share for this thing, I think it would be game over. Netflix can't do it. But the person, I mean, the personal element is just interesting because you've got Trump who wants to be involved in this deal somehow. you've got David, who really doesn't like the idea, David Zazlov, who really doesn't like the idea of selling to David Ellison.
Starting point is 01:00:55 But fundamentally what you're doing is just a very extended negotiation that's going to play into 20, well into 2026. Why does he want to get involved with David? I don't think this is how Zazlov wanted to go out, right? Like I think, I'm not saying, you know, all, when David Zazlov got Warner Media, he did this whole, song and dance coming to Hollywood and saying, you know, I'm a film guy. I'm going to save the film industry. I don't think anyone thought he was in it for the long haul. I think everyone knew this was sort of like a flip. But he liked playing the Hollywood kingpin. And I don't think he wanted to go out because David Ellison came to the table and forced him to go to market. And I also
Starting point is 01:01:39 don't think that, you know, I think David Ellison and his team and Jerry Cardenelli, Redbird, I think they came in and said, you know, somewhere around that sort of $23.50, $24 a share mark. And I think he took offense to that because the number he wanted and the number he thought he could get was hired a 30. And David, like, look, I have spent a lot of my time at Puck writing about all of the various misguided exploits of David Zazlov at the top of Warner Brothers Discovery. But at the end of the day, like one thing he knows how to do very well is work a deal. the entire time that David Ellison was coming was at the table saying I'll do this I'll do this I'll spend more he was talking to Ted Sarandos at Netflix
Starting point is 01:02:21 and basically by virtue of playing those two off against each other he's probably going to end up driving this the deal up to a price that is actually higher than $30 so kudos to him do you think he's talking to anyone else there's been a lot of skepticism about there ever having been a second bidder? People were saying, oh, the whole net, the idea that Netflix would even bid, that's a fake stalking course. I remember in September, when Paramount first started this whole
Starting point is 01:02:55 process, someone came to me and said, this isn't over Netflix, is at the table. Everyone thought that was bullshit. Greg Peters went out at a Bloomberg event here in Hollywood and said, we don't do, you know, historically, we don't do M&A deals like this. We're not interested in M&A, and everyone and thought, okay, well, that's it. Netflix has been at the table the entire time. And, in fact, if you talk to the guys at Paramount, what they'll tell you is, like, they feel like Zazlov was playing rope-ed-up with them.
Starting point is 01:03:22 It's basically saying, yeah, come to the table, we're good. Everything you're offering is better than Netflix, and then finally in the 11th hour saying we're with Netflix. He's continued to bid and bid and bid and bid and bid. Yeah, and we're not done. We're not done. That's the sort of funny thing. The way, when Ted Serendos and Greg Peters go out there and talk about this,
Starting point is 01:03:36 they're talking about it like it's over. It's not over. No. we're we're i i i you could have me on you could have me back on in six months i think we're still talking about this yeah yeah that's great do you think that uh the the actual netflix contract the deal the breakup fees the announcement the pageantry around like we have a deal yeah totally make it inevitable is that a tactic yeah i think so okay to drive a higher price from to to let paramount know to let ellison know hey they you're best and final like now's the time you're the time
Starting point is 01:04:09 to go, rally the troops, go around the world, get fire up a jet. How do you make, how do you make another offer and then say, uh, just want to be clear that this is not my best and final? Oh, that was a funny line. Like I've never, I've never, I've never in a negotiation, like, never in a negotiation had somebody make a, a new higher offer. Yeah. And then also say, like, typically you'd be like, yeah, there's not a lot of, like, it just shows that, yeah, like, what is the incentive? to take the offer at all. I'll buy your house for a million dollars, but I could go higher. I could go higher.
Starting point is 01:04:43 And by the way, another partner of mine, Matt Bellany, like, he's reported, Paramount will go higher. Okay. They will. Like, the Ellison's will go higher. And part of the thing, and this gets back to the personal element, which is what's so fascinating to me. David Ellison came to the Paramount deal, the first deal, with a strategy to basically wrap
Starting point is 01:05:09 up as much of Hollywood as he could, scale it up, and then try to go to war with Netflix and YouTube and the guys up in Silicon Valley. The entire thesis of his battle strategy rests on him being able to acquire more than just Paramount. If at the end of the day Netflix gets Warner Brothers discovery and he's sitting there with Paramount, he's not, he's not, he's not in the game. Well, yeah, so I was thinking, so he acquired the rights to UFC. Yes. They're killing the pay-per-view model, which is interesting. The paper-view model was being killed by illegal streaming, which was like the bane of Dana White's existence.
Starting point is 01:05:47 He basically, to my knowledge, was always angry about it. It was kind of the nature of the Internet as just like, if you're streaming something, it will show up in other parts of the Internet, and there's not much you can do. Paramount, you know, basically throwing down and saying, like, we're going to own the UFC, which is a lot of people that will just, subscribe because there's one-ish major UFC event every month, and it's a much better deal than just going and buying each individual pay-per-view for $80 a pop or whatever. But that subscription
Starting point is 01:06:23 offering becomes much more compelling if you're bundling in all this other IP. Totally. My question is, like, you're definitely going to get the UFC fan base, but how big is that fan base? Certainly, it's a popular sport in America. But how do you, like, build an of value around this to really have a competitive offering? I think what's interesting about the UFC deal. The UFC deal was a signal to the broader market, which is so much, again, it can be depressing to cover the media industry because a lot of the times it's going through periods of contraction or decline, or you look at, since we're talking about sports rights, you look at
Starting point is 01:07:02 someone like ESPN, right, who's being forced to make all of these very calculated decisions about, you know, should we pay X amount for Major League Baseball when you're competing, still competing for the NFL with, like, Amazon and YouTube. Well, in sports are the last remaining content monopolies, right? So in news, you don't really have a monopoly on anything. News is a commodity. Yeah, you might break the story, but everybody else will have the facts. Sports rights are the one.
Starting point is 01:07:29 Yes, sports rights and leagues. So the UFC. And the intellectual property, like, like, the rights to Warner Brothers. But, but still, that is. highly competitive with somebody else online saying, I'm going to make an AI cartoon. Sure. People aren't creating homegrown sports content. They're creating commentary and reaction content, but you still need to pay to see it live.
Starting point is 01:07:50 At the end of the day, there's only one network you can watch Sunday night football on, and it's NBC. And that matters in a way that when news break, when a bomb goes off or a coup happens, there are a lot of different ways to go. But what was interesting about the UFC deal is at this period of sort of contraction negotiation among legacy media players, David Ellison was coming in almost like a sovereign himself and saying, I'm here, I'm willing to make bold bets, and I'm willing to even overpay or what others would consider overpay in order to go after these assets. It also helps that he's younger.
Starting point is 01:08:25 He's thinking on a longer time horizon. Like he's actually someone who's thinking, how do I build up not just a media empire? He thinks about it as a media and tech empire. How do I build that up over the course of decades? So he's making these really long-term bets. And again, part of that, it was never, ever just about Paramount. I remember sitting in the polo lounge with somebody before the Paramount deal even closed, and he's going after WBD next.
Starting point is 01:08:48 Like, this is always, this is a scale play. And so that just brings me back to, like, you can't execute the plan if you're just sitting with Paramount. And so if you're Zazlov, and the guy's like, well, yeah, our best and final offer is whatever, starts with a two, he's like, the fuck it does. You need me more than I need you. That's right. Very clearly. Yeah.
Starting point is 01:09:13 Yeah, I think that, I mean, I count myself as oddly like a media. I'm just getting up to speed on a lot of these media stories, and this one's been fascinating. But just digging into David Ellison's history, I mean, starting Skydance in 2004, he really has been in Hollywood as at least like, you know, giving it his all for 20 years. he starred in Fly Boys the movie that he shot like it's like he clearly wants it he's about that light it's not it's not it's hard to call him a tourist I don't know if you've seen flyboys it
Starting point is 01:09:45 wasn't great no but but to show up and and not like there are lots of like I mean you could easily levy the like tourist uh label at like Elon Musk buying Twitter right what does he know about social networking he's been a he's been a PayPal guy then he's been a space guy he's been a car guy now he's a social media guy what does he know about news and it's like that kind of was true like he did just show up and was all of a sudden like i use twitter a lot so i'm buying it yeah this is this is a 20 year journey right david ellison fancies himself a true film buff sure hollywood guy yeah grew up watching movies going to the movies his association with tom cruise and mission impossible to him is a massive badge of honor because
Starting point is 01:10:27 he feels like he's really been supporting the industry yeah and part of the argument you're going to see or we're already seeing it that that that he and his team we'll make against Netflix is that Netflix is paying lip service to like the theatrical window they're not a they're not a business that's built on putting movies and theaters and he's like we actually will we we are committed to Hollywood in the traditional sense we're so committed that we'll we'll put Tom Cruise yelling at you about TV settings so in front of you have seen this no I haven't oh yeah yeah Tom Cruise like there's a lot of TVs that come with like specific
Starting point is 01:11:00 refresh rates technology like high refresh rate not 24 frames it'll do like 48 it's like smooth motion and he hates it because it's like not as the filmmaker intended yeah and so he'll do like pre-roll ads for that clearly like a yeah truly like loves the theater still we are going to we are all going in this process because one thing that gets lost you know the creative community in hollywood gets really upset about the netflix of it all sure they don't like seem to like Netflix yep they're not Netflix from a tech perspective not a political's perspective they as politically aligned with Netflix but more politically aligned with Netflix in fact but in terms of their nostalgia for what this industry is about.
Starting point is 01:11:38 Yes. We're going to see a lot of nostalgia over the course of this deal negotiation, and there's going to be a lot of hemming and hawing among the Hollywood creative community about what's happening. And all I would say is whether Paramount or Netflix get WBD, like the train has left the station, like their industry has changed. And even Ted's whole thing about, you know, we're committed to the theatrical window, like bullshit.
Starting point is 01:12:00 Like I guess movies will be in theaters for like 10 minutes before they're on Netflix. but what uh do you think that do you think that holly you know hollywood in in the actual traditional sense like the local community we're recording this live from hollywood yeah uh it seems like the industry is the culture of the industry is like dominated by nostalgia that's like that's the feeling that i have the interesting thing about tech is that tech has a nostalgic element to it tech culture, but it's like videos of us going to the moon and we're like, well, we got to do that again, whereas Hollywood seemingly is, just wants the whole production pipeline and process to go back the way that it was. And I guess how are people processing like having an even
Starting point is 01:12:54 smaller kind of potential buyer pool out of all of this? Well, you know, this is what you're making me think of. I think earlier when we were talking about media, you were talking about other industries like oil and gas industry whatever is my example the difference is is that creatives are a real pain in the ass to deal with from the perspective of the front office sure you build your business around them yeah but they have feelings about how things should be that i think people probably in the oil and gas industry or the trucking industry don't yeah so there are a lot of like tom cruises and martin scorsesees who have feelings about how how this industry should work and what you need to preserve in order to preserve the integrity of it what happens
Starting point is 01:13:32 when new leaders take over is they have to do a song and dance where they pay a lot of lip service to this. And so you see Ted Sarandos coming in and talking about how great it is to acquire the studio that made Casablanca. Yeah. The future of the film, I fucking love Casa Blanca. I've seen it 100 times. The future of this business does not rest on like future generations going back and watching Humphrey Bogart. That is not where the future is going. Similarly, when David Ellison took over Paramount, there's all this lip service paid to like Walter Cronkite. and the integrity of CBS News. With all due respect to David,
Starting point is 01:14:05 I don't think he gives a shit about Walter Kronkite. But you have to do that song and dance in order to sort of finesse the transition of the creative community. And in truth, I think what's more interesting is I think whether you're talking about a David Ellison or a Ted Sarandos, they're actually thinking about the future.
Starting point is 01:14:24 They're thinking about how to go to the moon again. They're thinking about you guys were just talking about Disney's deal with SORA. I want to talk to you about that too. When right after, After he dropped his peons to Walter Cronkite at this Paramount event just down the street a few months ago, David Ellison talked about how we were just a matter of years away from his kids being able to talk to the characters on Paw Patrol and have those characters talk back to them.
Starting point is 01:14:49 The Disney Sword Deal is like an early step towards that future. They know that's where we're going. It is not my kids watching Bluey over and over and over again. it is them talking to Bluey and telling Bluey what to do. They're thinking about it, but the dissonance between what they have to sort of say to placate the Marty Scorsese's and where they're actually thinking about putting the money is notable. I feel like it's notable.
Starting point is 01:15:16 I mean, we talk to founders at least once a week that are building like video models and products that could eventually be used by entertainment or are being used by entertainment. And I get, as an outsider to entertainment, I get excited because I'm like, if budgets for films hold flat and the tools that these entrepreneurs are building get better and better, you'll eventually be able to say, you know, a movie that would have cost $100 million could now be four different movies that cost $25 million and you're using AI to reduce the costs and using it for scenes that are just like, you know, historically expensive to actually shoot and do. And so I see an opportunity for this like Cambrian, like even if budgets just hold flat, a Cambrian explosion of more creativity, more people having the opportunity to create films and television shows and things like that. But it feels like there's like zero excitement here about that. And maybe it's because it's in pockets because if you're entirely outside of the Hollywood system. Like, the iPhone really did democratize filmmaking, but, like, the end result of that was, like, Mr. Beast on YouTube.
Starting point is 01:16:31 But I'm just saying, I'm just saying it's still, I'm saying even though the technology is not being created here, it still could be a catalyst for the industry. I think it's a competitor to the industry. But it is, it is, and it's, and it's a tool. It's a tool. I mean, it's a tool. And as with the iPhone, the question is, who has the access to the tool and who gets to harness the tool and then do something great with it? Yeah, the iPhone sort of democratized your ability to create content, and you can argue that the vast majority of what's out there is slop and is not nearly as good as what Hollywood can create. But then again, you just have to look at where people are spending their time. People are spending more time with user-generated content.
Starting point is 01:17:16 People are spending more time on YouTube than they are on any other streaming platform. You can be able to talk to Humphrey Bogart. You can talk to Humphrey. That's what I'm called. Put me in Citizen Kane. Yeah, you can put him on the plane. Wiley Coyote teaches algebra. Yeah, that'll happen for sure.
Starting point is 01:17:34 The problem with nostalgia and with trying to preserve the order as it is, is that the tools are there. They're going to be harnessed. They are more democratized than they have been in the past. And at a certain point, the eyeballs are going to go where they're going to going to go. And you can't force it. Yeah. And there's this weird sort of like Amish, like let's just like preserve this moment in time that yeah. Okay. So so so is uh if we if we uh hopped in a car and drove over to Burbank and uh snuck into Disney. Yeah. Do you think Bob Iger has like
Starting point is 01:18:06 a total revolt on his hands today because I feel like Disney is one of the truly creative places they hire tons of those artists that have opinions. They're talent driven. and yet they just put out an announcement, yeah, we're going to do AI content. It feels like a very, it feels like a divisive issue if I was, you know, in management. I'm sure, I'm sure it is for some people. I increasingly find that the stakes are so high and the change is so fast that the need to meet it is existential. And I think leaders like Iger increasingly care less about that blowback. you know, I'm so funny.
Starting point is 01:18:49 A long time, like 20 years ago, I was an intern at the New Yorker, and I remember when they opened up, they did at the back page where people could submit captions for the New Yorker cartoons. And the cartoonists hated it, because they felt like that was their, the integrity of their work should not be opened up to the public.
Starting point is 01:19:07 And in fact, that became like one of the greatest sources of engagement with the New Yorker was through that. I think people recognize that, being able to say, I want Darth Vader on a beach, or I want, you know, Captain Underpants doing X, Y, Z. Like, that is going to happen. You can already sort of do it. And the question for Disney is, are we going to have a piece of that revenue? Are we going to make money off of it?
Starting point is 01:19:39 And in fact, if we know that that's where the puck is going, and at a certain point, you will be able to talk to your favorite animated characters, how can we, if we engage with that, then maybe we can start driving. Maybe that helps keep engagement. Maybe that helps drive people to theme parks. There's a whole other piece of it I was talking about with my colleague, Julie Alexander, just earlier today, but there's a whole other element here too with YouTube where, you know, YouTube is, or sorry, Google is starting to generate Disney characters and Disney doesn't want that happening.
Starting point is 01:20:13 So I think they're trying to set a precedent. They launched a cease-sendis last night. They're taking legal action against basically, seemingly every scaled player except Open AI. Opening AI deal is a one-year exclusive. And so I think that opens up. I'm assuming Disney's using these lawsuits and the cease and desist to start a negotiation of what this will look like once everybody gets access to it. But it's notable that I think this is, even today just seeing the timeline, I think this is underrated. as a deal for open AI to be able to drive just at a time when it feels like their their product is
Starting point is 01:20:54 being at completely disagree but at least at least somewhat threatened by by gemini sure if you're if you're if you're if you're an american household yeah and and you're like a disney family what what family of apps are you going to be paying money to right if one of them creates these magical experiences for your kids, and the other, you know, is completely blocked from generating an EIP around that. Because, like, when kids, I don't know, my kids are young, but if you're a 10-year-old and you realize that, like, you can, like, my son, I generate, like, I take pictures of us and I turn us into dinosaurs, and I have used ChatGPD to do that a lot. It's stuck in his head. He'll be like, let's make some, like, let's make dinosaur pictures. And so when kids realize that any
Starting point is 01:21:44 Disney content that they can watch can immediately be, like, brought into their life. Yeah. That's going to be a reason for them. Or if he comes to you and says, hey, let's, let's turn ourselves into the Avengers. And you're like, well, there's only one app that allows me to do that. Then boom, you're in, you're back in SORA as opposed to. And you're going to pay for it because I think parents will pay almost any price to bring joy to their children. Yeah. So, I mean, I agree with that. I just think it's, it's going to be a slow take off of that type of content because. But I don't think, I don't think the,
Starting point is 01:22:14 The whole thing, like Studio Ghibli, was that a slow takeoff? Absolutely. It was a huge, it was a huge meme moment where everyone had to have one. Everyone needed to see what they looked like in the Studio Ghibli mobed. And then the usage dropped off and then started climbing at like 1%. And it is climbing and it is going to grow and it will be a dominant form. Sure. I'm just saying you now have 200 different characters, the most valuable IP in the world. I'm not saying it's bad.
Starting point is 01:22:39 It's definitely like an improvement to that product and it will make SORA a better app and it will be not just SORA but it's it's it's it's I'm assuming I didn't see specifically but I'm assuming yeah it's chat DVD and SORA so it's going to be take it to bring it yeah yeah but to bring it back to the the the the Ellison uh like the paramount WBD like if you put them together you get something like 15% of all watch hours in America controlled by that company if you take Netflix and and WBD you put them together you get 14% you saw that quote right like SORA I think is going to be at like less than than 1% for like years and then it will eventually be 5% and then 10% but it just next year is not
Starting point is 01:23:22 going to be like the year that 10% of watch hours were AI generated video like it's just not there yet I think I just I commend Iger on at least trying to try trying to adapt the in his company for this future yeah that is where it's going I mean it's very hard to reject the thesis even with the available technology which feels like very beta very one 0, that that's not where this is headed. And if you've got, no one is sitting on a better IP portfolio than Disney, particularly when you're talking about kids, obviously. So, and there's no easier way to do this than with animation.
Starting point is 01:24:00 Yeah. So why not go there? Yeah, yeah. I just think, so, so I looked it up, Disney Plus has just under 60 million total paid subscribers in the U.S. and Canada. I think a lot of those subscribers are subscribing for content for their children. Don't underestimate how many people without kids go to Disneyland. Yeah, yeah, that's true.
Starting point is 01:24:25 That's true. It's a big number. I'm just saying, like, that cohort, Open AI has, like, what, a third of that in paying subs globally. And so I just think this is, I do think this is at least for the next 12 months. I think this is going to be a, this is, Chatsy BD doesn't have a lot of moats, right? Like the product is better than other comparable products.
Starting point is 01:24:47 And this is a new moat where if you're those 60 million people that are paying for Disney Plus, like you're an ultra fan and you're a super fan and you're going to park. How many people visit? Yeah, yeah. Here's an anecdotal thing. Yeah, please. Most, to the best of my knowledge, the one way I've been able to make my son cool in his second grade class. is by getting him on Sora,
Starting point is 01:25:10 like, letting him play around with Sora earlier than his friends. Didn't do that with Minecraft. Yeah, yeah, yeah, yeah. But, like, did that with Sora for him. And I have all his friends coming up to me and being like, what is Sora? Tell us about Sora.
Starting point is 01:25:20 Can we use Sora? Sure. I'm sure the other parents hate me. It's a wild thing to do. But you do see, this is purely anecdotal. You see that level like, oh, my God, can we create something? Can we just say something and create it? Yeah.
Starting point is 01:25:33 And you think about how sticky Disney has been, right? Like, I don't know a single parent in my kids' class. who doesn't have a Disney Plus subscription. You are just, you are, you are, if you, if that, if you can do that on SORA and you can't do it on its competitors, that's really, that's potentially really valuable. In 2023, the last reporting period for the parks that I can find, 140 million people globally paid to go to a Disney park and experience the Disney. I'm sold, extremely bullish for OpenAI, extremely bullish, no, no, no, no, no, I, you,
Starting point is 01:26:08 You win me over on this. I still don't think, I still don't think a significant percentage of content consumed by Americans next year will be fully AI generated. I think that's where we're going to see a slow, that's where we're going to say a slow takeoff. But yes, it's a great deal. I'm just saying, hats off to Fiji CMO. Well, yeah, so if you get 140 million people visit Disney parks this year, I bet you they will have things in the park, which is like recreate this moment, turn this into an animation. This is very good. It is very good.
Starting point is 01:26:39 I just think what the timeline this morning that was interesting, everybody looks at the headline number, $1 billion. Yep. And they're like, this is a round. This is barely, this is like slapping duct tape on a boat that's leaking water, right? It doesn't feel like that big of a number because it's not in the context of Open AI, but the competitive edge that gives them over the next 12 months is massive. This is fantastic.
Starting point is 01:27:02 This is a great conversation. Thank you for having. I'm such an honor to finally be in the dome. I'm so amazing. I'm sure with the way the WBD deal evolves, you'll be regular gas. I'm just at the street, so any time. Thank you guys for having me. This is great.
Starting point is 01:27:15 Thanks so much for our show. We have our next guest, Fiji, Simo. Hit the gong for us. It would be our honor. I don't know if I've earned this. Well, what's a big number? You've got to give us a number. How many years you've been writing?
Starting point is 01:27:32 14 years, overnight success. Thank you. Let me tell you about linear. Meet the system for modern software development. Streamline work. Linear streamlines work across the entire development cycle from roadmap to release. Let me also tell you about Julius AI, the AI data analyst that works for you. Join millions who use Julius to connect their data, ask questions, and get insights in seconds.
Starting point is 01:28:00 Our next guest is Fiji Simo from OpenAI. She is the CEO of Applications. We are very honored to be joined by Fiji. Welcome to the show. How are you doing? Great to have you on the show. Great to be here. Thank you so much.
Starting point is 01:28:15 Thanks so much for joining. I would love to kick it off with a little bit of a little bit of backstory on just what was the conversation like to recruit you to have you join Open AI? It's a big move. It rocked the timeline. And I'd love to know what was the pitch, what was the opportunity? How did you wind up at Open AI? Well, I had the extreme privilege of being on the board of Open AI for many months, like I think about a year before Sam approached me.
Starting point is 01:28:45 And therefore, we were already working really closely together. And then at some point, he told me, hey, it looks like, you know, there's a lot to do and it looks like you have ideas on how to do it. So is there any sense that we could make this happen? And I had, you know, a big job running Instagram at the time, so it took some time to transition. but I was incredibly inspired by the mission of open AI already, and it felt like a no-brainer.
Starting point is 01:29:10 And can you take us through the GPT 5.2 announcement? I mean, one of the first documents that I think everyone knows you for in the open AI context, in the context of your new role, is the different areas where you see GPT5 and OpenAI having impact, chat GPT having impact in folks' life. can you explain to me how you think those different sections are going, what excites you about the news today, and kind of contextualize, how do you think about the map of what ChatGPT as an application is touching? Yeah, that's a big question.
Starting point is 01:29:49 We can break it down one at a time. No, I've got it. You know, when I look at the opportunity ahead of us, I think AI is the greatest source of empowerment for people. And I want Chad GPT to be the personal super assistance that allows you to advance every part of your life. So the manifesto that you are referring to, to me was like putting on papers this notion that if you look at how the world works right now, wealthy people have a lot of support staff. They have a travel agent. They have a personal shopper. They have a financial advisor. Imagine if we could give that team of support to everyone.
Starting point is 01:30:30 on earth. And fundamentally, that's what I want to build. And I think with Chad GPT, we have the opportunity to graduate from what is still fundamentally a chatbot that you ask questions to, to a personal superassistance that gets everything done in your life. When you put that in the context of the announcement today, we're super excited to have launched 5.2. It's the leading model on I was really hoping for that. It's a leading model in terms of everyday professional work. It's a big step change in intelligence. You see that on the benchmarks, obviously,
Starting point is 01:31:09 but that gives me a lot of hope that we can be closer to achieving a lot of leaps on these use cases. So, for example, if you take something like travel, you have to be good at long horizon tasks. You have to understand the ball of the users very well. And so with GPT 5.2 and like the new capabilities, we're getting one step closer to making all of that possible.
Starting point is 01:31:35 Yeah. So I feel like some people have a little bit of benchmark fatigue. You know, everyone has their own prompts. And they feel like stuff's getting better, but it's hard to like everyone wants the original chat GPT moment again. So what have you done for me lately syndrome? But I'm interested, putting all of that aside, I want to know how are you measuring success internally around the launch of a new model? Like, what does the rigor around developing KPI's? Obviously, the company is in the interest of driving subscriptions and revenue, but there must be interim steps and AB tests.
Starting point is 01:32:17 And, I mean, this is your lineage. This is what makes you who you are. How do you think about assessing the impact of new models when they go out, like downstream of the benchmarks in the actual application? Yeah, so that's like my entire job is turning the breakthroughs into products that people use. And so, for example, on 5.2, we just talked about the consumer side. I can go back to that. But on enterprise, for example, it's really important to us. We serve a million businesses across the world. what we look at is like
Starting point is 01:32:50 can companies start to do things that they weren't able to do before we just released earlier this week an AI report for enterprise and it said that 75% of people were saying, of workers were saying that with AI they can accomplish tasks
Starting point is 01:33:08 that they couldn't do before and then we see that even on the coding stat on coding if you look coding messages from non engineers has grown 36% and so I look at all of these things as like these are also like the research team gives me this like magical superpowers my job is put the superpowers in the hands of people and at home and at work and the thing we measure is can they do more and are they actually like understanding the use case and doing more and there's a lot you know there is a big
Starting point is 01:33:43 narrative around like is AI adoption really happening is it going fast enough but what I am seeing is that there is a lot of pent-up demand as long as you cross those capabilities. So I'll give you an example. All companies that I meet with tell me that if there was a way to generate spreadsheets much like faster with AI, generate slides much faster with AI. They would use it for a lot more knowledge work because, you know, all knowledge workers generate spreadsheets and slides. With 5.2, like that's a big stop-up in the ability to do that. Like, I can tell you with 5.1, I was trying to do it, and the spreadsheet was kind of janky, things were, like, not really in the right place. With 5-2, it's, like, great formatting.
Starting point is 01:34:26 It totally understands what, like, you know, the numbers are about. It structures them the best way. And these are the things that, like, help unlock completely new use cases and ultimately growth for the customers that we work with. Do you feel like there's some sort of fundamental cultural difference between, um, your previous roles where there hasn't been so much of this divide between the consumer side of the business and the enterprise side of the business on day one. I feel like ChatGPT is unique in that it's used by kids and college students and adults and people use it just they bring it to work with them alongside and then enterprises and
Starting point is 01:35:10 the government's using it. Whereas for something like a social media application, it didn't really have that same, oh, we need this product to work for us in an enterprise context necessarily. How has that shift been designing an application that can be used? It's sort of the same underlying model, but it's used in such different ways. Yeah, it's a great question, and that's the thing that we spend a lot of time working on. The thing that's really interesting is that part of the reason why we're winning in enterprise is because we're winning in consumer.
Starting point is 01:35:43 When you talk to CEOs, they tell you, well, if my workers are already completely familiar with the technology because they use it for their personal use, that's much easier to deploy that in enterprise and have that be adopted. So that familiarity is actually really helping us. And so the thing we're trying to do is really keep that familiarity, but upsell the tools that are really specific to enterprise. So I'll give you an example. Connectors is a great example. We do have connectors on the consumer side. You can connect your chat GPT to your Gmail and things like that. But on the enterprise side, it's even more critical.
Starting point is 01:36:19 You have to be connected to like Slack to like all of your enterprise knowledge. And so these are cases where we push harder on the enterprise side to make sure that companies are doing what they need to unlock the value. Yeah. I'd love to hear your take or how you're thinking about the partnership with Disney, Georgie and I were just going back and forth on it, landed in an extremely excited place. Seems like a fantastic partnership. I think that in general, looking at the timeline this morning, obviously everybody's going to form an opinion on the partnership immediately, even before they kind of understand the facts.
Starting point is 01:36:59 But as I looked at it, I think it maybe was getting less hype than maybe it deserves because it's only a $1 billion investment. It's relatively small in the context of the U.S. in France. But if you look at Disney scale, the example I gave last, there's like 140 million people have paid to visit a Disney park in the last year. I would imagine that all, like, I can imagine a world where over the next year, every person that's visiting a Disney park is like, hey, I can kind of like personalize this
Starting point is 01:37:30 experience and like take and basically create this entirely new kind of like entertainment layer to that. So I need a relationship with OpenAAAA. in one way or another. Yeah, and I'm going to pay for the product. So it feels extremely significant in a way that maybe people aren't fully appreciating. Yeah. Yeah, I mean, we're very, very excited about it.
Starting point is 01:37:49 If you think about, like, SORA and ImageGen, this is all about unleashing creativity. I think we're all born creators. And, like, if you give people the tools to create easily and to go fast from imagination to a creation, we can see, you know, the golden edge of creativity. But for that, like, you know, we need people to have inspiration, to have, like, you know, like IP to play with. And Disney has by far the best IP, by far the best inspiration. And so partnering with them to bring these experiences to life is such a privilege and we're really excited about it. Yeah.
Starting point is 01:38:24 How our audience, I was thinking about this last night, our audience is probably, on average, spent way more money on ads than actually seen ads. because many folks in the audience have spent money on digital ad platforms, run ad businesses. How do you think about positioning the ads product or whatever happens to the other side of the market, like the brands that want to be successful in the future of commerce? Do you have any idea of the shape that it will take because we were just doing a Black Friday stream and just one founder after another singing the praises of the meta ecosystem, even the app-loven ecosystem, the ability to go and put money in a magical box and get customers is remarkable. Have you thought more about what you want to offer ultimately to brands and companies
Starting point is 01:39:21 that will ultimately be partnering with Open AI? So not much to announce to the unadts, but what I can tell you is two things. One, like, if we're at some point we decide to go towards that, we're going to do it in a way that is extremely respectful of the very special relationships that people have with chat GPT. The thing to understand is people trust that chat GPT has their back and gives them the best answer for their needs. Nothing we do can jeopardize that.
Starting point is 01:39:55 And so, you know, when I talk to brands and they're like, hey, how can we get more distribution how can we, you know, influence the results of the LLM? The reality is have the best products. You know, we want to build an LLM that is not impacted by, you know, paying companies that is not impacted by, you know, people giving the system and purely recommend the brands that are going to be best for you. Now, around that model response, you can imagine that there are things that we could do to get, to give brand distribution, but we would.
Starting point is 01:40:30 really want to keep the model response pure because the trust that people have in that is critical. Yeah. Is there good, like, I don't know, like, how do you actually set up the company for that? You need, like, an editorial, like, firewall so that one team is just not even affected. They don't even, like, you know, hang out at the happy hours together and say, hey, you know, can you go do this this quarter because we have a big partner? Like, have you thought about what it culturally takes to get there? Well, first, the very good news at Open AI is that the culture is already so focused on protecting the user, protecting the purity of LLM responses. It's so ingrained that I think anyone who would, you know, share like, hey, can you help me change things? That's a holiday party would be organ rejected.
Starting point is 01:41:18 So I think that's already, you know, good. We built the right antibodies day one. The other thing is, I think we're not just going to rely on culture or also going to rely on technical capabilities that have firewalls between these different things so that people can really trust that the model is not influenced by anything other than having their back. Yeah, yeah, that makes a ton of sense. How are you thinking about setting up the actual applications team for success? Are you, I've been struck by the fact that the narrative has shifted. in some ways from, you know, the best model wins every time the best model, the best model, the best model, the best benchmarks, like just win and, you know, and then everyone will just
Starting point is 01:42:03 switch around. It feels like we're almost leaving that era where, you know, the technical insiders, they do care about the benchmarks, they do care about the capabilities, but a lot of consumers just care about the user experience, the design, the, like, almost the qualitative aspects. How have you thought about developing a, like a delightful, user experience? Is that a new muscle for the organization? Do you feel like opening I is set up to deliver, you know, this delightful experience that can reduce churn and keep people coming back? How do you think about that? Well, first off, I would say, you know, this is a company that
Starting point is 01:42:41 despite not starting as a product company, has built the fastest growing consumer and enterprise business industry, a product with 800 million people. So while I think I can, you know, build an organization that does that even better. I really want to celebrate what they've done before me. And I think you're absolutely right. I think the magic is at the intersection of research and employment. So the thing I obsess about is how can we be tied at the hip with the product research team to understand what are the new capabilities that can unlock this new magical products? And you kind of see that like sort of, we're just talking about it a minute ago. It's a good example where the capability was there and like that's what unlocks everything. But then the
Starting point is 01:43:29 product thinking came in of like, you know, putting characters and yourself inside the video. And so it's really a mix of like capabilities, but also a lot of delightful product thinking and really understanding what people want that unlocks this magical experiences. We were even talking at the beginning about kind of all of the use cases, right? Like me, like, you know, just giving people more intelligence in the chat, but, like, that's going to cap out at some point. What I need to do is help them realize they can use chat GPT for health and, like, help them, you know, make that easier, help them plans of travel, helps them shop. Like, all of these things are going to be based on incredible models, but also great products
Starting point is 01:44:10 that makes this understandable. Because right now, you're still kind of having to stumble upon the value. And, like, when people realize they can use strategy for health, they're like, oh, my God, this, like, unbelievable. But they kind of had to stumble upon it, and that means I haven't done my job fully until everyone knows how to use the value. You guys are, Sam was talking earlier this week with some folks about the push into enterprise. How are you thinking about enterprise, not on the API side, but just on the core subscription size and around pricing? historically as a, you know, 200 a month
Starting point is 01:44:49 plan subscriber for chat CBT, I had hit some points where I'd be frustrated because I could sense the model being lazy, and I'm like, I'm giving you as much money as you've, I'm on the highest plan. Can I be on a plan that's just not, never gets lazy? This is the rumored $2,000 a month plan that I've been clamoring for.
Starting point is 01:45:10 I just, like, can you make, would it make sense to ever do in all you can? Consumption. All you can eat, land, or consumption based. Consumption on the non-API side. Sure. Just because, you know, I think there's a lot of people. Consumer consumption-based is wild.
Starting point is 01:45:24 No one wants to do that, but I don't know. It's a bold, bold statement. I'd be interested to hear what you think. Yeah. You know, we've launched credit-based pricing on the enterprise side so that in addition to your subscription, you can buy extra credit to get more. I think that's a model that could possibly work on the consumer side. So, you know, we are open to exploring anything.
Starting point is 01:45:47 We have it, like, now for Codex. And so, you know, that's something that we could totally explore. But I think it goes back to a lot of the very, I would say, like, sophisticated people really understand, like, the concept of buying more intelligence. Regular people just want, like, more outcomes. So I think the more we make that transition from a chatbot to, like, you give us your list of tasks and we do your tasks, the more we're going to be able to make people realize the value, and then, you know, the pricing will follow. Your original manifesto, you outlined knowledge, health, creative expression, economic freedom, time, support. That sort of covers everything. Is there a seventh capability that you're excited about?
Starting point is 01:46:30 You mentioned spreadsheets. Maybe that's the seventh one right after time and creative expression. Put it at the top. That should be at the top. Economic freedom, spreadsheets. But is there a seventh category or a nascent, just even in your own personal use, a new capability that you feel like, okay, you know, maybe this year has been the year of agents, we've gotten coding agents, we've gotten deep research a year or two ago. You know, is there some new capability that you've seen glimmers of, okay, I think we're actually solving this piece, or I think it might be good enough to use in this scenario? Yeah, I mean, we touched on a bunch, but what I would say is, like, for me, the next app is unlocking connection to the ecosystem.
Starting point is 01:47:17 So, like, ChadGBT is self-fair and insular. Yeah. And we launched, you know, at Dev Day, we launched on a platform. But I think, like, we were talking about House. Like, health would be so much more powerful if you could connect ChatGPT to your health record and all of your kind of bio-wearables. Yeah, we were talking about, like, travel. It's so much more powerful if Chad GPT can connect with, you know, a lot of like travel companies. And so figuring out how it can not just do things in this like, you know, text format, but really connecting and doing things in the real world, that's the thing that I think the models are ready for, but we're still catching up on the product side to make that possible.
Starting point is 01:47:58 And then lots of these really like, you know, much more sophisticated use cases. There's a ton of questions in the chat about the code red. have to ask, how is it going? Has it been an intense period for culturally? It feels like there's been, you know, a lot of ups and downs in any startup's history. I imagine that it's been exciting and thrilling to re-engage, but how has it been internally so far? Well, for context, you know, code reds are not uncommon. Like, we declare code reds as a way to really marshal a lot of resources towards a priority. It's a way to signal what's at the top of the list
Starting point is 01:48:39 and what can be deprioritized and we focus. And I think during this time, focus is critical. And in terms of how it's going, I mean, I'll let you be the judge of it, but I'm pretty proud of what we're releasing today and, like, you know, leading the way in terms of, you know, best model for everyday professional work that has been a goal of hours for a long time. It's been in the works for a long time. It didn't start with the progress.
Starting point is 01:49:03 but we're really excited to be able to release that today. And on top of that, it's our 10-year anniversary today. Wait, today? Yeah. No way. I didn't realize it was today. Get a trading card up, ASAP, team. What are we doing?
Starting point is 01:49:19 10-year anniversary of Open A&A, that's incredible. That's wow. Fantastic. That's amazing. Congratulations. How startups historically have been able to innovate because they tolerate some some amount of failure and I think if you look at the hyperscalers too they're willing to like launch products that that just don't work right if you look at the history of Google they take moonshots
Starting point is 01:49:43 they make bets not everything works some do and it's and it's an effective way to you know continue to innovate how has I feel like when open AI releases a new product now whether it's SORA or the browser or anything like that it faces so much scrutiny from the world some people are excited and bullish. Other people want to see it fail. How are you guys kind of, what's your internal framework around failure today? Because ideally you want to keep shipping a lot of things. And if you ship three things that don't work and one thing that does, it's like, great, you have a new product that you can scale. Yeah. Well, you know, I'm no stranger to a lot of scrutiny throughout my career. I've worked at companies that went through a lot of phases like that. And I would tell you,
Starting point is 01:50:30 I think it's like, it's simple and cliche, but you kind of have to block out the noise. The thing that's good about open AI is like, the North Star is very clear, right? It's AI that benefits all of humanity. And we have a lot of conviction internally that were on the right path to do that. And that does mean that, you know, some things are going to work, some things aren't. And because the culture is rooting in a research lab, which is very different from other companies that worked out, I think the fear of failure is much less because people already know in research that you explore a lot of path and like many don't work. Like that's the core of research.
Starting point is 01:51:09 And so because that's the DNA, people don't freak out when a product doesn't work because they're like, oh, it's kind of like research. We have to test a lot of things and some of them will hit, some of them won't. But I think this innovative spirit has gotten us to our rat and really leading the market. And I think that's something that we absolutely need to preserve. Well, thank you so much. Do you think, are we still going to see age verification this year? Is that, or is that going to be a 2026 launch? So age verification is starting to roll out already in some countries.
Starting point is 01:51:41 And we're doing a slow rollout so that we can make sure that we're very accurate in predicting the teen with an adult. And then the adult mode that's going to be unlocked by age verification is going to land in Q1. Got it. Well, thank you so much for taking the time to come. chat with us. Congratulations on all the amazing progress and such a great time. Congratulations to the whole team on a decade. Congratulations on 10 years in the business of building AGI. We're feeling the AGI here. Have a great rest of your day and we hope to talk to you soon. Good chatting.
Starting point is 01:52:11 Thank you so much. Goodbye. Goodbye. Let me tell you about Privy. Privy makes it easy to build on crypto rail securely spin up white label wallet, sign transactions, and integrate on-chain infrastructure all through one simple API. I love that. The WWE voice. that effect. For the stripe, for the stripe portfolio company or wholly owned. Anyway, let's go back to the timeline.
Starting point is 01:52:35 Let's take you through some news. That was a fun back to back. I enjoyed both of those folks. That was, I feel like it's very funny that we were discussing all week. The David Allison, Netflix, Warner Brothers, we're getting up to speed on media
Starting point is 01:52:52 and what's going on there. And then boom, we get our little treat, the crossover. of the decade with Disney and Open AI. It's funny, you were clearly, you were clearly alluding to me being confused by the Disney
Starting point is 01:53:10 Open AI deal, because I went on my own roller coaster thinking, okay, is this like a nothing burger? Is this a good thing? And now I am fully in your camp. I think it's very good. And I think that it does feel like we might go into something like the press release economy that's going on in the prediction markets wars,
Starting point is 01:53:30 where every foundation model might need to hoover up particular partnerships because I didn't even know exclusivity was on the table. You know that OpenAI has a content licensing partnership with the Wall Street Journal. And so the Wall Street Journal gets paid when they, if I hit ChatGPT and I ask for a detail about SpaceX's latest launch,
Starting point is 01:53:50 it's probably going to ask the Wall Street Journal. It's going to ask a lot of different sources, but they pay the Wall Street Journal. Now, if they do an exclusive with the Wall Street Journal, and I'm like, I can't get that in Claude. Claude just doesn't know. That's way less significant because the journal reports on the same news. No, no, no.
Starting point is 01:54:07 To me, the journal is like Disneyland on a thousand. I would gladly never go to Disneyland ever again if I could just read this precious paper newspaper every day. You're like any Disney content ever again in your life or the journal, you're riding with the journal. This is the Disneyland of business. Of your mind. Of your mind.
Starting point is 01:54:29 The Disneyland of my mind. No, no, of course you are correct. There are not many Wall Street Journal fans that are anywhere near as insane as the Disney files. What is Lysan Al-Gaiib here saying? Lysan says, GBT 5.2 Pro, it has ridiculous pricing, once again, $20 and $168. Tyler, do you know if GPT 5.2 Pro is more. expensive? I guess the raising prices. Yeah, I mean, so this is the pro model. These are always like the very expensive ones. Yeah. I think it's pretty, let me actually look at the normal model,
Starting point is 01:55:03 but I think it's pretty comparable. I guess $5.1 was $1.75 and $14. So it's a pretty significant, pretty significant increase. But I don't know. They, like this is a new technology. We don't know where the Pareto frontier of pricing is necessarily. We don't know. So it's slightly more expensive. It's, uh, yeah, 5.1 was a dollar 25 cents on the input. Uh, it's dollar 75 cents for 5.2. Okay. It's like, you know, marginally more expensive.
Starting point is 01:55:33 Yeah. Well, um, so let's see, uh, direct challenge to Anthropic. The knowledge cutoff is, uh, August 31st, 2025. So, uh, uh, Yuchin Jin here from hyperbolic labs. The co-founder and CTO is saying that this is a freshly pre-trained model. yeah so um do you believe that have you have you been studying the timeline while we've been live understanding what's going uh yeah so some people are saying it's new pre-trained um that's the newest like cutoff uh date uh since uh what was it is there a way for they could not do a full pre-train but
Starting point is 01:56:07 they could just kind of do an update with the new yeah exactly so um people are it's like oh it's a new cutoff yeah uh usually that you'd think that's a new pre-train it's probably more like a it's like a mid-train or something like this where you basically do continued pre-training on new data so it's probably not an actual pre-trained because you'd expect that to be like a much bigger update right you it's like oh gpd6 yeah yeah yeah yeah i still i still have to i still feel like the 4-0 pre-trained that's like like the like the latest and greatest up until now uh running that back i mean that thing was expensive but it's not that expensive compared to now because they have so much more money i don't
Starting point is 01:56:40 like 5 wait 4-0 4-0 was never expensive it was always cheaper yeah but it wasn't 4 o like the base pre-trained for like pretty much everything today to date uh yeah yeah and so rerunning that i mean it was at the time it was like probably $100 million. But now $100 million, like they got 10 them. Exactly. Exactly. So they should be ripping pre-trains all the time just because just to keep the timeline and check. Keep them guessing. Anyway, I got it. Figma. Think bigger, build faster. Figma helps design and development teams build great products together. What you got here? We're eating good. Future pipelines may need to unify pre-mid post-training, injecting reasoning data earlier and more continuously. To anyone wondering if 5.2 is a new pre-trained, I'm letting you connect the dots
Starting point is 01:57:24 between this, says Alexander Doria and this synth slash agent pipelines aside. This is the new main catch of deep seek 3.2. This isn't a new model card, new ELO update. It's an architectural update at mid-training scale. Everything mutable and we are, everything is mutable and we are likely to see more and more submodel speculation. Interesting. Well, we'll have to let the 5.2 new sort of simmer in the timeline, let everyone do their own benchmarks. How'd they do on Arc AGI 2? That is always an interesting one. Are we cooked? Did they blow us away? GPD 5.2 thinking is at 52.9% up from 17.6%. That's a huge leap. Wait, we got to run our joke benchmark. Yes, let's run some of the TVPA. Pull it up. Pull it up, Tyler. Try to make us surround
Starting point is 01:58:17 Try to make us laugh. While we're pulling those up. Give us tie bent. Let me tell you about Vanta, automate compliance and security. Vanta has AI that powers everything from evidence collection and continuous monitoring to security reviews and vendor risk. Okay. So, yes, this is my benchmark where I ask, should we create the joke about the shrimp fried rice? Yes.
Starting point is 01:58:39 So I'll just go through some of these and you guys tell me how good they are. Yes. You're telling me a crab rang this bell? crab rang bell this is 5.2 thinking this is 5.2 thinking this is the frontier this is the best of all the AI I kind of like
Starting point is 01:58:56 you're telling me a crab rang this goon that's kind of funny yeah I think that's what I would have thought but that's not you're telling me a bear built this market oh because markets can be bullish or bearish a bearer built
Starting point is 01:59:09 you're telling me a ham you're telling me a ham wrote this lettuce uh ham Wait, ham wrote this lettuce? Ham wrote lettuce? Wait, wait, this is a good one. Terrible has happened. You're telling me a ghost wrote this script?
Starting point is 01:59:24 Ghost wrote script? Ghost written? Ghost written? Okay, yeah, yeah. You're telling me an owl delivered this mail? Yeah. So I think on this benchmark, there's more I could, I mean, you could have the picture. I think Gemini is still the frontier here.
Starting point is 01:59:41 In terms of, in terms of shrimp fried, right, bench. Yes. Yes, because... There were some good ones there. But again, to understand, it seems like Gemini understood the assignment, but still ultimately leaned on Reddit data and broad Internet data and did not come up with any unique joke that had never existed on the Internet before. Yes.
Starting point is 02:00:03 But it did find the good jokes on the Internet. All of the good ones that it gave me, I could find, that's where, but you still, it, you know, it's hard to, like, search for that kind of thing because they're not just listed as, like, oh, these are jokes like this. Shrim fried rice type jokes. Yeah, it's hard to look for. Yeah, yeah. I do wonder if this benchmark...
Starting point is 02:00:17 And also there's a thing where Gemini 3 was actually a new pre-trained. Yeah, yeah. At least people are saying, so maybe that was... All right, let's try at least one more. Wait, I wonder if this benchmark is, like, saturated in the sense that, like, every possible shrimp-fried rice joke has been said and written down on the internet. Is there any new territory? Like, if I put you on this job for a month, could you come up with a new joke that's as funny
Starting point is 02:00:38 as shrimp-fried rice? Yes. You think you could? I think so. Okay, maybe that's a challenge. Do it. You got to give me a month. Okay, when we...
Starting point is 02:00:45 You have time. In the new year. Okay, I want to hear one thing. Just like adult mode, adult mode and Tyler discovering a new joke, a novel joke are both coming in. You're telling me there's a... By the way, so Stanley in the chat says, L.O.L. Why don't they swear? Seems pretentious.
Starting point is 02:01:02 I guess it is pretentious, but I don't care. No, it's our kids are watching at home. Yeah. Anyway. What's the next joke? You can see a swearing. You're telling me a chicken actually tendered these? you're telling me a chef boyard eat these ravioli okay yeah this is really really rough
Starting point is 02:01:20 wait this one's not bad this one okay what's this one you're telling me a shepherd actually pieed this they're really food based they kind of latch on to the food you're telling me a kid napped this kidnapt okay terrible yeah yeah I don't know all right you just bombed Tyler hopefully 5.3 GT3RS bench. Let's do GT3RS bench. This is the benchmark here at TVPN where we ask every frontier model to write unique copy, marketing copy for a GT3RS from Portia. And we have an astute eye we watch for any tells. I can tell you that this was AI written. Is it generic. Does it use contrastive parallelism? Does it use antithetical parallelism? Antithetical parallelism
Starting point is 02:02:12 is of course when grammatically you say it's not this it's that it's not just a new AI model it's an entirely new way of thinking right there's also contrast of parallelism there's a good Wikipedia article yes I think is is relatively new where it has a bunch of tails of AI that has like a bunch more stuff and yes yes and people were going back and forth with Rune over this where Rune was saying I think you could actually build an AI detector people were saying well open AI had one of those and then they took it down because it wasn't working. But it's weird because I feel like, yes, AI written text should be impossible to detect.
Starting point is 02:02:49 Like, we're so past the touring test. The models are incredible. It really is remarkable. And yet, I can totally tell when people use Chachivit to write a blog post. It's just obvious. So, anyway, let's do GT3R.S bench. There's a, I read a paper like a month ago, and there's this company around it, I think, Pangram,
Starting point is 02:03:08 but they do, like, actually pretty good. Oh, they do good detection? Detection, yeah. But do you want me to read the, this is GT3RS bench? Written by either GPT 5.2 or handcrafted by a marketing genius. You'll have to tell us, Jordy. Do you think this was AI or not?
Starting point is 02:03:25 Let's read it. I mean, he just said it was. This isn't a car you own. No. Just immediately out of the gate. You're out of the gate with the AI. I slap. It's not this.
Starting point is 02:03:41 It's not a car you own. It's a car you cherish. It's a car you own so much as one you operate. Wait, really? That's the first line? That's the first line. That's the first line. Wait, operate.
Starting point is 02:03:54 That's not even a good line. That's insane. Okay, keep going. The 9-11 GT-3-R-S is a Porsche at its most uncompromising. Like that? A naturally aspirated 4L flat-6 screaming to a 9,000 RPM. race bread aerodynamics. Never been in a car before, brother? Never been in a car before?
Starting point is 02:04:13 Oh, is the... What is the L. Yeah, it stands for the leader. I don't know. A race bred aerodynamics that generate real downforce. Okay. In a chassis engineered for lap times. Okay. Not likes. M-Dash, not likes. What? That's not even true. It's like the most over, I mean, I shouldn't say it's overhyped, but it's like the most hyped car on the internet. It is engineered for likes. in some ways it's it's like it's not good track times it's a great track car but it's it is engineer oh no no no most people are buying it for the road for likes we were talking about this with the with the g wagon like who's like the g wagon has a particular uh a particular vibe around it now uh where it is sort of like an influencer mobile i think you've made the joke that like it's
Starting point is 02:04:59 the standard issue in l.a when you become an influence and they just someone just shows up right Well, that's partly because the roads in L.A. are so bad, you need something that could off-road in a pinch. Yes, yes. And so, but the question is, like, is that Mercedes designing the G-Wagon for influencers? Like, no, not at all. It's like, they designed it. They just stuck with it for a long time. Eventually, the influences adopted it. You can't put that on Mercedes. It's not their fault that all the influencers drive them. Anyway, let's continue with GPD3RS bench. Is that it or is there more? No, there's more. Keep reading the slop.
Starting point is 02:05:34 Every surface has a purpose. Every input is immediate. Every drive feels like a qualifying lap. Built with WISoc-level obsession, the GT3RS deletes, did I also get that wrong? No, it's okay. You just hesitated.
Starting point is 02:05:49 You're hesitated. You just sound like someone who doesn't talk about VISOC packages very often. VISOC. Okay, yeah, yeah. Oh, yeah, I guess like Vimar. Yeah, yeah. The GT3RS deletes anything unnecessary
Starting point is 02:06:00 and doubles down on feel. lightning fast PDK shifts, surgical steering, and suspension tuned straight from the Nureberg ring playbook. Playbook? The Nureberg ring playbook. What is the NERBING playbook? It's loud, stiff, dramatic, MDASH, and utterly alive. This is not a luxury purchase.
Starting point is 02:06:23 It's a statement of priorities. It's a statement of priorities. I don't understand how the it's not this is that. still in the soup. Like I like just I think run it run the trough Because it's not a new pre-trained basically I think it's one of the it might be that But it might be the open AI team low key
Starting point is 02:06:42 Hates AI generated written word as well And they want to continue to be able to identify it easily maybe maybe I like that It might be there they're yeah doing a public service here Okay so uh get bezel.com shop over 26,000 luxury watches fully authenticated in-house by bezel scene of experts Chiching, Ark Prize is breaking it down. A year ago, we verified a preview of an unreleased version of OpenAI 03 high that scored 88% on Arc AGI 1 at an estimate of $4,500 per task.
Starting point is 02:07:17 Today, we verified a new GPT 5.2 Pro X high, state-of-the-art score of 90% at $11.64. per task. This represents a 390x efficiency improvement in one year. This is, this is, this is the headline. This is the story. This is the best, this is the best fact I think about GPT 5.2. This is massive congratulations to the Open AI team for delivering at this level. This is remarkable. Really, really great stuff. I love it. Now, go do it for RKGI3. What have you done for me lately? we the biggest failure this year was not getting goalposts here in the video that we can move production team we need goalposts can you order on amazon right now physical goalpost that we can move around the studio every time one of these releases comes out like a full size one uh no something
Starting point is 02:08:18 like an indoor one of the indoor one of the indoor one of the indoor one move to a different piece of the studio and then we'll have a sign that has whatever our next goal post is you know, Arc AGI V3. I want them to, you know, one-shot that. And we will move the goalposts over there, and then we will erect a new goal, and we will move the goalposts over there on the release of a new model that does
Starting point is 02:08:44 whatever we said was going to impress us, but now no longer is enough to impress us. Well, you know what else is impressive? This scoop from Reed, Albergotti, the tech editor at Semaphore, colleague of Ben Smith. He says, Scoop, Google names a new chief
Starting point is 02:09:04 to head up its $100 billion a year AI infrastructure build out Amin Vadat who will report to Sundar directly. This is very exciting. Imagine having a $100 billion budget for CAPEX.
Starting point is 02:09:20 That's like Ben's dream. Four times NASA's annual budget. Yeah, Ben. You might want to, if you're really, so Ben's a CapEx guy here, almost every time. Every time we walk up. To me, he wants another 30 grand for a new camera, this light, this. It's going up next to. He's one more.
Starting point is 02:09:44 Meanwhile, we are actively on the show asking for goalpost that will probably wind up costing 30K. We're part of the problem. We are. We are. But, you know, he's not. So does incredibly smart move by Google. Amin is absolutely. unique and his academic, technical, operational, and business depth, huge deal.
Starting point is 02:10:01 Well, let me tell you about adquick.com. Out of home advertising made easy and measurable. Plan buy and measure out of home with precision. Our next guest is Angela from worktrace. She's in the Restream waiting room. And now she's in the TBP and Ultradom. Welcome to the show. How are you doing?
Starting point is 02:10:19 Angela, good to meet you. Doing great. Thanks so much for having me. It's nice to meet you guys. Great to meet you. Congratulations on the news. please introduce yourself, the company. Give us the news. I have a mallet here. Getting ready to ring the gong. Yes, I'm Angela. Most recently, a co-founder of WorkTrace AI where we just came out of stealthed
Starting point is 02:10:37 day. So we're excited to talk to you about it. Before this, I was doing a lot of deep learning. So, you know, it was deep learning job after deep learning job. Most recently with that Open AI the last three years, mostly doing product management. And yeah, when I was at OpenAI, I mean, we we're also making these amazing models, like they are now more and more, but there is still this gap, you know, that we hear about where people aren't getting their magic moments from AI, despite the models being super duper intelligent. You said you said you were doing a lot of deep learning as a product manager. Some other product managers are doing a lot of deep research these days where they're effectively glorified deep research. I do a lot of deep research these
Starting point is 02:11:21 days. A lot of my docs are powered by deep research, I have to admit. So, I mean, Sam Altman's been on record before talking about how not to get steamrolled. Like do not start a company that is predicated on the model staying the same capabilities. Like if your whole pitch is, I got a new LLM and it does pretty well on RKGI, well, today was a bad day for you. But there are plenty of other pockets of opportunities. Obviously, Open AI believes in you because the Open AI Fund invested, but how did you think about creating durability or positioning the company in a way that was maybe synergistic with what Open AI is already doing? Yeah. I guess one benchmark for it is that when 5.2 came out today, we were excited to try it. It's an exciting day for us too. That's good.
Starting point is 02:12:15 But yeah, when we thought about it, I mean, for me, when I was there, opening eyes so strong and making just really amazing models. But I feel like they themselves, but they also want help from whoever to help distribute these models to the world. I mean, there's so many people that need to benefit from these. And it's very difficult to actually get these into the context of enterprises, real-world use cases. It requires a lot of boots on the ground and getting deep into the use. cases. Ultimately, they are punching above their weight in terms of how many people they have
Starting point is 02:12:50 to get all of the amazing models they have out into the world. And that's something that we felt was super complementary to them. Yeah. Walk me through the product experience, how a company might actually integrate work trace and start building a, you know, a bespoke workflow over time. what's the, what's the actual, like, diffusion process into an organization to start getting value? Yeah. I mean, I'll tell you about what I think the status quo is, which is what I saw when I was a product manager, which is that a team comes in, they know that AI could be transformative for their industry, and so they want to invest in it.
Starting point is 02:13:31 However, they're keeping up with what is going on with the latest 5.2 model. What does that mean for them? They're keeping up with what's actually going up. on in their workforce. And so what they often do is they bring in consultants or tech services company or the open AI go to market team to be able to figure out what is the exact right use cases that they should apply this particular model or they model they know that's going to come out in three months to these particular teams that they know need help. So that takes like months as far as my experience has gone. Whereas with work trace, what we do is what we're able to do is
Starting point is 02:14:09 like have a desktop app to be able to see, you know, what work is going on, and then be able to flag that, hey, this is task that seem repetitive, that you seem to be spending a lot of time on that are breaking your flow, that 5.2 happens to be very, very good at today. Why don't you consider building out a workflow with 5.2 for this exact use case? So what that looks like then is like a prioritized list of use cases, so a roadmap basically for AI transformation for a company, and then for each of those use cases, it'll have actually the JSON or the output that you need to input into Open AI Agent Builder to actually start running an agent for that workflow.
Starting point is 02:14:50 That's interesting. How do you deal with the scenario where the system is observing a workflow, and in the process of that identification of a workflow, it becomes clear that the person should just be using SaaS instead of like if somebody is like oh yeah every day they open a spreadsheet and they have a list of people's names and phone numbers and how recently they contacted them like that might just be a sales opportunity to get them on a CRM you don't necessarily need to agentically build a new CRM maybe but how do you deal with those scenarios because there's a lot of companies where they're they're not even on the frontier of SaaS implementation yeah and there's a lot of like kind of like
Starting point is 02:15:32 industry-wide process mining tools that look for like bottlenecks in your work or maybe where you should use those other tools. And so, you know, despite how good the models are, most of your work today probably can't be done with agents. There's a huge amount that can be, though. And like that's specifically what we're looking to find. So we'll mine for the ones that can today be used for agents. And we're making a bet that that amount will just get larger and larger over time. Yeah. And do you think that you have to live on the desktop in an app because I imagine that if my workflow is slow, but it's taking place inside of, like, you know, the Salesforce ecosystem or something, they're not just going to let you build
Starting point is 02:16:15 something on top, or will they, like, how does AI bump into these like walled gardens that are going to prop up in enterprise software where, you know, Mark Benny, I was probably thinking, like, I don't want you puppeteering my software. I want to be the one doing that. I see. I mean, for us, I mean, to understand how we're. happens. It's best to be able to just see what you see when you're doing work, which honestly is more than your desktop. It's like also your phone. You know, it's like what, like, you know, you in meetings and whatnot. However, you know, we find that we go a long way by seeing just what's happening on your desktop to get a sense of how your work is going. In terms of actually then
Starting point is 02:16:53 doing the tasks, I mean, we still use the tools that you use. You know, we integrate them with Salesforce or any of the normal tools that you might be using. I mean, that is just how work happens, and we want to meet you where your work is. Do you think some people that are aggressively pursuing a forward-deployed model are going to look at your solution and think, like, oh, maybe I didn't need to send my most valuable human capital out into the world? I could have just sent an app a screen recorder. Because it feels like this is potentially more, at least for a lot of different types of work,
Starting point is 02:17:29 a much more elegant solution than let's fly this person out. put them in a short-term rental or a hotel. Let's have them just sit in the office when you can actually just use in order to implement AI. You can use AI to basically watch them on screen and discover what these workflows actually look like. Yeah. I mean, part of it is that there's not that many AI experts in the world for what we need. There's not that many FDE's that we could deploy out. So most of the companies that we're working with probably can't afford FDEs for to come over, you know, for a couple of months at a time, but also continuously as AI changes. But also, yeah, at the same time, when we were thinking about what we were doing
Starting point is 02:18:09 to help companies get up to date on AI, we were listening to their workflows, we were understanding their workflows, breaking it down, looking at variations, which just happens to be something that AI is particularly good at. So when we saw, like, what it took to actually find use cases and then put them in the format that agent builders needed, it just felt like that in and of itself was a great use case for AI, which is actually what made us super bullish to pursue this idea. Get us up to speed on the fundraising history. I want to know what the latest news is.
Starting point is 02:18:42 Yeah, so we recently closed our seed round, which we're super duper excited about. How much? Nine million. There we go. Very, very cool. I'm super excited about this. I love when an idea is obvious, and you just sit here thinking,
Starting point is 02:19:02 why didn't anybody do this before? And sometimes it just takes the right team to come along and do it. And look at who's in this deal. ABC conviction, Open AI. Logan Kilpatrickson, big fan of him. Mira Muradi. Wow, are you really? Murderers Row.
Starting point is 02:19:18 Murderers, Roe. And Gundersen, Deniers. Genius Ventures. I'm an LP. So, yeah, very, very excited. Well, congratulations on all the progress. Thank you so much for taking the time to come talk to us on this day. I have a feeling you'll be back for the A within a quarter.
Starting point is 02:19:35 I think so. I just got a feeling. Hoping for it, too. Also, the chat is obsessed with you. They think that you should go on Joe Rogan, apparently, which I don't know why, but I do think that would be a fun thing. So good luck to you on the rest of the immediate tour. We'll talk to you soon.
Starting point is 02:19:52 Have a good rest of your day. Merry Christmas. Goodbye. 8Sleep.com. Exceptional sleep without exception. Fall asleep faster. Sleep deeper. Wake up energized.
Starting point is 02:20:03 I'm getting back in it. My falloff needed to be studied. It's very clear what happened. I flew to New York City and I slept in a bunk bed, which was not ideal. Randomly I wound up in one hotel room for bunk beds. We didn't book the hotel. None of them fit me. The hotel room was booked by another.
Starting point is 02:20:23 It was a mistake. Yeah, it was not, it was not, Nick. Nick is a fantastic hotel. What'd you get, though? What'd you get? I got an 87. What'd you get? What'd you get?
Starting point is 02:20:30 Me, I got an 80. I'll give you. I'm back. I'm back, baby. Never challenge me at sleep. Never go snooze for snooze with me, because I will out snooze you. And next, we are joined by John from Scrub Capital. John is a practicing neurosurgeon, health system leader, multi-time co-founder.
Starting point is 02:20:48 What's happening? CMO. Welcome to the show. And more. Welcome to the street. How are you? guys. We're fantastic. Thank you so much for taking the time to talk to us. Can you get us up to speed on some of the writing that you've been doing, some of the, some of your overall thinking
Starting point is 02:21:05 on how America's misunderstanding self-driving cars, what we need to change the actual message, the status quo, and then the message that we need to get out. Yeah, thanks for having me, guys. So look, up until right around now, we've been thinking about autonomous vehicles, as a tech moonshot, you know, cool tech story, take shots at it, like it, whatever side you're on. But what I'm trying to say, and now others are joining, too, is this is a public health urgency now. Because what happened is, Waymo put out data at 100 million miles. This is about a month or two ago. You can go download and analyze it yourself.
Starting point is 02:21:45 They put out all the raw data. And what I found was astonishing. We're facing, guys, the possibility that if we play our cards right now going forward, we could eliminate traffic deaths as a leading cause of death in the United States. That's crazy. Wait, it's the leading cause. I thought it was cancer. As a leading cause.
Starting point is 02:22:02 As a leading cause. Yeah. It's huge, though. Isn't it tens of thousands of people? Yeah, 40,000 a year. For children and young adults, it's the number two cause of death in the United States, and it's the number one worldwide for children. And it also, I mean, not all life is precious, obviously,
Starting point is 02:22:18 but it also must be a cause of death of young people. because it's so random when it happens. It's not something where, you know, oh, someone's lived their full life and then they passed away. Yeah, that's right. It does tend to bias towards younger people, healthier crime of life.
Starting point is 02:22:34 It's not like it tends to be the sick and elderly. That's for sure. So, but I'm totally with you. I buy it hook, line, and sinker. I'm a believer. But also, it seems like it's going fine because, like, Google has a trillion dollars of cash flow and they're going to do this
Starting point is 02:22:51 and Waymo is rolling out. Like, what do we really need to change? It seems like everything's going well. Right. So look, we have a regulatory capture problem right now, guys, and I was so glad to come on TVPN. You could look at coverage in the Washington Post, coverage in the Boston Globe.
Starting point is 02:23:07 City councils and other moneyed forces have politicians' ears, and they're working against this. And I think, you know, we've got to work to liberate this and get the message out that this is not a risk story. This is a safety story, you know, from my perspective now looking at this from a medical lens. And, you know, I haven't even scratched the surface, and I'm sure I'm going to get all flamed on Twitter now and everything else. Plaintiff bar in a lot of places is what's opposing this as well.
Starting point is 02:23:35 And I won't impute motive, but people can use their imaginations. Okay, so what's happening in California that allows me to every other week I log on? I see that Waymo's map is expanding California. It seems like it's going on. Historically has been, I don't know, I would, I would imagine that this would be a tougher environment than other states that are less population dense. And, Jordy, what's interesting about this is this doesn't respect traditional political tribes or left coast, right coast, whatever.
Starting point is 02:24:09 It actually, it cuts jagged across typical tribes often. So, like, you can have far left people where they love bikes but love that Waymos are safer. So it's like, great. Then there's a group over there that doesn't want any vehicles. So Waymo's are a problem. Then you might have libertarians that say, you know, technology acceleration, let's go, let's go, let's go. But then, well, wait, are the vehicles surveilling me? So, you know, this is not traditional tribes.
Starting point is 02:24:35 And I think what we're seeing now is the data is moving people further and further along in this story, tribe independent. And to get to your question, Jordan, I think a lot of these companies are based, sorry, Waymo certainly is based in California. and there's a West Coast, you know, heaviness to this. And to be fair, Tesla is now, you know, also demoing this in Austin right now with human drivers still. Mm-hmm. Do you have any other reads on how this might break from a regulation perspective? It feels like, you know, we could be coming up on a seatbelts and car scenario where, you know, self-driving technology is a requirement for all the OEMs and they have to either white label it from Waymo, white label it from Tesla, it needs to be available more widely.
Starting point is 02:25:23 Tesla and Waymo, I don't think that's in their business model. I don't think they necessarily want to put it in every Toyota and Honda, but they're, you know, you're making a... Golds, Royce, ghosts. Yeah, you're making like a health-based case, and maybe at a certain point there needs to be, you know, a requirement. How do you think about that? Yeah, I mean, so right. Like airbags, we all remember or some do, that, you know, they started as kind of like a luxury, thing on the high end, you know, S-class Mercedes and then work their way down, I think we're
Starting point is 02:25:53 going to progressively see this with progressively more and more automation. So right now, like the automatic braking is in there and almost everybody has that, but it's going to start to filter down. And Jordy and John, I think insurance industry pressure is going to push this too. Okay. We're eventually when the data gets stronger and stronger, and I think we're about a couple of weeks away from Google's next, sorry, Waymo's next data dump, because just following their usual trend. I think we're a couple weeks away from probably 125 million miles. I think that this data is going to start to push rate differential over time, and that's going to kind of get people
Starting point is 02:26:26 moving. Yeah, it's funny. If you were expecting a debate, you're not going to get one, because I agree with everything you're saying here. But you did go to the New York Times to write this essay. Did you get pushback from the New York Times readership? Was that a conscious choice? I'm just trying to understand, like who is, who is the current, what is the current shape of the, of the anti-self-driving car constituency look like? Because I'm starting to understand the anti, you know, AI data center constituency, and I get that. Like, it's ugly in your backyard or if your, if your power rates go up, like, that makes sense. There's a tradeoff there.
Starting point is 02:27:06 But who's not happy, what was the reaction to the New York Times piece? Yeah, so the New York Times was interesting, and I'll tell you, there was a very famous magazine that I pitched this too, and they weren't interested because they were writing their own. Okay. And this one definitely got a lot more traction. Sure. So the team there was the crack editors, obviously, and the fact checking is incredible. I mean, I knew it was good, but I mean, every word, every statistic checked twice, it seems.
Starting point is 02:27:34 And I don't know if that's just because this is a super, you know, high impact story or because it's what we do. But when I was watching, they actually shut down the message board when it got to about 2,400. messages. They might have been tired of moderating it. And I saw, you know, really these, again, these jagged splits where I guess it's sort of obliquely cutting across groups. And I'm having trouble. Now, I understand there's some data coming out that it actually tends to cut across tech literacy. So more so than like left, right, libertarian, not. It's how tech literate you are. And that's going to get progressively interesting, I think. Yeah. What do you think about the job displacement narrative around self-driving cars, that does feel like, you know, there are people
Starting point is 02:28:18 whose jobs are to drive around. Some of them will be potentially displaced. It certainly has an effect on the taxi cab market. Self-driving cars in other contexts are still seems like it's pretty far away. But how do you think about balancing the economic effects, the employment effects with the, you know, the health benefits effectively? Yeah. So we, this is a critical question. I want to make sure that's clear. Like, this isn't just willy-nilly, let's go put these everywhere tomorrow. The call is for this to be done smartly starting like yesterday, right? And let's make this a national priority.
Starting point is 02:28:55 And the job question's critical. And I don't want to ever be glib about it. I wrote a whole kind of mini thesis and there wasn't room for it in the piece. And I'm certainly not a labor expert. But what I think is a couple things. One, we're already facing a labor shortage in a lot of markets, as you know, not a surplus. And we have supply chain and value chain breaking because of this. So I think what I'm looking here is we have a chance if we do this right with upskilling and other things.
Starting point is 02:29:20 And I know upskilling gets panned a lot of the time. But I think we need to be thinking about moving people from operator to manager, supervising fleets of vehicles. And we could have a truck driver managing a fleet of 10 autonomous rigs from a command center who, by the way, now goes to sleep in his own bed, rather than her or rather than staring in a white line for 11 straight hours in a dangerous environment. I think that's a waste of human potential. Now, I want to be clear, their jobs are super important right now. They're keeping the country alive. So nobody here that I'm saying that their job is a waste of human potential. I'm saying if we just then don't figure out what to do with their jobs,
Starting point is 02:29:58 because this is happening whether we like it or not. We need to think about how to use that incredible expertise and apply it smartly. And then, you know, I'd like to say in 1981 was the peak cigarette manufacturer. 650 billion cigarettes were manufactured in 1981. Now we're down to 125 billion cigarettes a year. And none of us heard about an epidemic of job displacement because of cigarettes being dropped by 85%. So let's do this right starting today. And I don't know if you're going to go there.
Starting point is 02:30:35 But if we don't, we're going to be importing Chinese technology. They have no less than seven companies pursuing full-stack autonomous vehicles right now. Makes sense. And I'm glad if I can name more than seven American autonomy companies. Waymo, Tesla, comma, AI, ghost is not doing well. There's a couple that are not doing okay anymore. But it is a back-out drag out byers. What?
Starting point is 02:31:03 Casers company? Yeah, yeah, yeah, applied intuition. Yeah. I wanted, while we have you, I wanted your quick take on peptides. We're seeing an explosion of demand. You're an investor in a bunch of different health and medical companies. I'm curious how you've viewed this category. It feels tough to invest in for a lot of reasons, regulatory.
Starting point is 02:31:32 A lot of these therapies are not actually proven by any. type of real studies, but I'm curious if you got a hot take for us. Yeah, well, I don't know if it's a hot take, but look, so first of all, disclosure, we're investors in Lifeforce. Certainly check out Lifeforce, but so I've joked and others have that, remember this old book Prozac Nation, I think the new, I wish I had time to write peptide Nation. One of us need, or may, let's do it together. We need to make time for that, but this is where we're going, and the data's
Starting point is 02:32:07 getting stronger and stronger in pockets. As a physician, I've got to say, I'm not giving anybody medical advice right now to talk to your own doctor. But me and Chrissy Far, and you can Google this, we surveyed 135 clinicians who are active in health span on what they do themselves, not what they do for their patients, what they take themselves. And something like 15 or 20 percent of them are on more than one injectable, including peptide, of course, TRT and other things. And I think... I like a Jack doctor personally.
Starting point is 02:32:41 There's some. I think we're going to... I can't get me in the clinic if he's over 10% body fat. He's got to be dried out. He's got to be diced. Yeah. He's got to be solid separation. It's got to be a mass monster.
Starting point is 02:32:53 It's got to be stringy. Is it okay if he's cutting and bulking or does it just what he's cutting? I typically only go in for the check-in when he's on a cut, when he's in fighting for him, kind of stage ready. When you're making your appointment, You almost need to know where are they. Exactly. Exactly.
Starting point is 02:33:08 Miss me when you're bulking. I want to see you ready to go to the Arnal, to the Arnold Plastic. I want you stage ready. I want you dry. Yeah, because bodybuilders are the epitome of health. Yes, yes, exactly. Rodney's looking great. Yeah.
Starting point is 02:33:22 You are looking great. Anyway, this is fantastic. Thank you so much for taking the time to come on the show. Yeah, we're with you. I think it's a good reframing. There's so much. I like it a lot. so much investment happening in AI broadly, and it is interesting and how much the government
Starting point is 02:33:41 is doing to try to break down walls to support the industry. Yeah, it is funny. There's all this, there's all this debate about like, will AI cure cancer? Will AI save lives? Like, is that just lip service from the big AI companies? And it's like, well, this one could literally save 40,000 lives a year. Like, that's good. That's more than many cancers.
Starting point is 02:34:00 That's a ton. And there's no reason why we shouldn't do that. And then we should celebrate it as AI saving lives. Like, that would be great. It's more than homicide and plane crashes combined every year. And if I can leave one thing, I would say to, look, this is not something that, oh, my God, Waymo started on this and Tesla started on this six months ago and it looks great. This has been 15 years of deliberate work at Waymo.
Starting point is 02:34:25 And I don't work for Waymo. I want to be clear, I'm not invested in Waymo unless it's through a mutual funded alphabet and directly or whatever. And this has been handled for 15 years with the rigor of what I would say is most analogous to a medical device. Totally. Not an app, not like a wearable, an actually regulated medical device. So what I want to say to people is that this is a moment now that's ready for safe and effective acceleration. Yeah. It's been so, it's been incredibly high stakes.
Starting point is 02:34:55 Like there have been multiple, I'm pretty sure, multiple artificial intelligence, self-driving companies where, they've had a terrible accident and it's basically destroyed the entire company. And so the entire industry has moved slowly, but in this case it's good because there is human life on the line. I would call it deliberate movement and I completely agree
Starting point is 02:35:15 with you. Time to get into the wheel. This, do this right and this will be remembered as one of the historic top three moments of American exceptionalism. If we don't let it slip out of our hands. Well, thank you so much for taking the time to come on the show. Great to meet you.
Starting point is 02:35:31 rest of your day. We'll have you back on soon. Goodbye. Thanks a lot, jump. Thank you. Hop in that waymo, head over to wander.com. Book a Wander with inspiring views. Hotel Great a Menacee's, Dreamy Beds, top tier cleaning, and 24-7 concierge service.
Starting point is 02:35:48 It's a vacation home, but better, and you can get there in your self-driving car. Our next guest is Aaron Cannon. That is a powerful name. That's a powerful name. Scrub capital. Scrub capital. They saw him, and they were like, put. capital, put the capital in the cannon, launch the capital
Starting point is 02:36:05 canon at Aaron Cannon. Welcome to the show. How you do it? Thank you. And look at that chart in the background. Cheeky little chart. Guys, that's real numbers. That's actually the real data. Real data. Hit it again, hit it again a few times. There we go. We're fired up, Aaron Cannon. We're happy to have you on the show. Thank you. Would love an introduction on yourself and the company. Yeah, I'm Aaron. I'm the CEO and co-founder of Outset.
Starting point is 02:36:37 I was on your show. I think it was at YC Demo Day like six months ago. That's right. That's right. We were super bullish on you. That's awesome. No wonder you're back. No wonder you're back.
Starting point is 02:36:47 I had my yellow ramp hat on in the YC offices, and I was sharing our series A. Well, yeah, so break it down for people because they're going to assume you were in a batch this year. But you went through in 2020. was it? Yeah, we were 2023. Summer 23, we went through YC batch and been growing since then. I just happened to be in the office
Starting point is 02:37:07 and we raised our Series A at the YC demo day, so I popped in. And yes, so Outset is AI moderated research. So if you've ever tried to, you know, understand your customers or something, it really sucks today or in the past. And finally, it doesn't suck.
Starting point is 02:37:24 I mean, basically, you know, surveys are the old school way to do it. Or you talk to users one by one and, you know, talk to maybe a dozen or so, and now AI does it for you. So that's what our platform does. And we just raised our series B, announced it yesterday from Radical Ventures.
Starting point is 02:37:40 There it is. And, yeah, it's been great. So here we are, six months later. Was Paul Graham ever concerned about outset? Was he worried, you know, founders might stop talking to their customers or is he comfortable with the AI talking to the customer on their behalf?
Starting point is 02:37:57 You know, I didn't clear this with PG personally, but, uh... Dude, you got to clear it with, you got to clear it with PG. You got to get his blessing. You got to get his blessing. I did not do that, but it's part of the reason we don't work as much with startups. And we work with Microsoft, Google, folks like that, um, Weight Watchers and Nestle. And so, so we go for the big enterprises. What is, uh, what does success look like when, when you're working with these companies?
Starting point is 02:38:24 What are you pushing towards? Is it a key insight that, um, impacts a, a future product decision, you know, what does actually winning look like? Yeah, yeah, it's, it generally falls into two things. Like, either they're doing product research, where it's about a key insight that drives a product decision of what to build or even, like, not to build. There's like a famous Airbnb, Brian Chesky's told a story of, like, there was like a million dollar, you know, research saved the millions of dollars because of like one bad design, right?
Starting point is 02:38:55 And so, like, you know, it could be a massive, like a single insight can be hugely differentiating for a product. And then there's marketing where you're saying, like, I'm about to, you know, release a new product to a new market. You know, you're Nestle and you're testing new concepts. You've got to get that right, right? So that's, that looks like making smarter decisions and making them really, really fast. And that's, like, the real thing is that now with us, you can actually gather, you know, hundreds of actual interviews, like in-depth, nuance, like, really hear from people, and you can do that in a couple of hours. And then we synthesize all that data so you can go make a decision. Are you guys taking away jobs from researchers or are researchers just able to do far more work and get far more insight?
Starting point is 02:39:36 The classic AI question of, yeah, it's so the reality is like, yeah, I mean, if you look in engineering organizations, people are like, my engineers are much more effective. I'm going to make, I'm going to build a lot more product. I want more great engineers. In this case, I don't have a lot of insight into how research teams at some of these big companies work, but I could see them saying, hey, we historically needed to hire this outside firm to conduct this research, and we needed X number of people to kind of manage it and try to unpack what was actually happening. A lot of them might also have just been using web forms, right? Yeah.
Starting point is 02:40:13 Yeah. Okay, so what we actually see on the ground is very much not the get rid of your research. is quite the opposite. And I think the reason for that is there isn't a ceiling of like, I don't need any more insight on a thing, right? There's actually kind of, it's like an insatiable demand for it. The problem is the old way was not economical. So you have, you know, your researchers, you know, they do one study every month or two,
Starting point is 02:40:37 and it would be, you know, like talking to 15 users. And now that one researcher can actually do a study every week each time talking to 200 users. And so you basically are like making smarter decisions. And then you add the speed at which people are putting new products into the world, you actually need that insight faster, right? And so what we see on the ground is basically a research team adopting it and saying, holy crap, like I can actually go like do twice as much or go twice as fast with, you know, the same people we have on the team today. How multimodal are you today? How multimodal do you want to be in a few years? I can imagine research is happening, you know, on video interviews.
Starting point is 02:41:18 interviews, audio, text-based interviews, web forms, like, what are you doing today? And then what do you want to do? We want to do all the modes, all the modals. So today we are video, audio, text, and then you can do kind of forums, you know, think like classic survey questions. Like radio buttons and checkboxes. So do you just email or text a customer and say, may I research you? Yeah, that's exactly it.
Starting point is 02:41:45 That's the language. May I research you? No, but then we also do screen sharing. So that's actually where you're getting a participant, a video, audio, radio buttons, and then also share their screen while they're interacting with your prototype. So you've got to do all of that together.
Starting point is 02:42:01 And then we partner with a bunch of panels that are called them to help kind of source people. So in our platform, we can actually source from millions of people. And are you building the full customer experience management platform down to data collection, but then also analysis, because it sounds like you're adding, sourcing, but it's not like you're going to give me a big bag of text, and then I've got to go sort it out elsewhere.
Starting point is 02:42:29 Yeah, the theory's always been like, if we're going to help you scale and speed up, the way you collect the data, we've got to break it down for you afterwards, right? And it's just two sides of the same coin. So since day one, we've had these two sides, right? Our core platform, AI-moderated research is like, collect the data, synthesize the data. tell you what matters. The thing we now are building into the future, and the reason we raised
Starting point is 02:42:49 a bunch of this money, you know, just six months later, is like we're going from, think like, you know, study by study, I got a question, let me go answer it, to the always on customer intelligence platform, right? The experience management where, you know, at every touch point, you know, you get off a flight, you get a, oh, how is your flight? Or you, you know, you get a post-purchase feedback form and really every point in the journey, right, should actually be conversational insight, should be continuous, we should have contextual questions that actually makes sense. And so pulling all that together. Makes a lot of sense. Sorry, I have one more. Fraud detection. Like, what does that look like?
Starting point is 02:43:28 And yeah, like, is that AI powered or AI enabled or is that just like best practices? Like, what is the bad, like, how big of a problem is fraud in customer research? Yeah. If you talk to anybody in the industry, they'll say like, it's a big, it's a problem. And Chad GPT made it worse, right? So the answer, though, is that, what is that? Because I get paid $100 to tell Microsoft or get a gift card to tell Microsoft how I'm using Microsoft Excel, and I'm like, well, if I just go to chat GPT and I'm like, how am I using Excel, it'll just make something up, and then I just copy, paste that
Starting point is 02:44:02 in, and then I get the $100 Starbucks gift card. Is that roughly correct? Yeah, that's right. But what happens is like on surveys, it's really bad, right? Because you have an open, a free text field, and you just paste it in. You just try to text you whatever, yeah. Right. Luckily, because most of our customers are doing very, like, video-based stuff, it is much more, right?
Starting point is 02:44:20 That is harder to, like, you know, fake your way through. But we built our own fraud detection agent, right? And it's like, it's actually kind of fun to watch because it's basically looking at your screener answers. Like, oh, you said you were an expert in, you know, Python. And then, like, later in the interview, as they interviewed about, you know, what tools you're using, it's like they don't know anything about it. And then you get your, you know, as a customer, you get your reasoning. So the AI agent tells you, well, this. This guy does not know what he's talking about.
Starting point is 02:44:46 And so it's pretty impressive, yeah. It's fantastic. Well, thank you so much for taking the time to come on the show. Did we hit the gong already? Hit it again. I'll hit it again. We did. Yeah, hit it one more.
Starting point is 02:44:55 Hit it again. I'll be back. $30 million series. I don't know if we actually got to the number. $30 million series. Be radical ventures. Push yourself in the team. Come back in Q1.
Starting point is 02:45:04 It's not all about fundraising, but it is a pretty good indicator momentum. Call up Rob Taves at Radical Ventures say, give me another 30. Give me another. About 300. How about, yeah, how about you put your money where your mouth is, Rob? Make a bet. Take a bet on us.
Starting point is 02:45:19 Yeah, look at that graph. Look at the graph. Well, thank you so much for coming on the show. Great to see you again. Have a good one. We'll talk to you soon. Goodbye. Before we bring in our next guest, we have some breaking news.
Starting point is 02:45:29 Broadcom has smashed earnings. Earning for share of 195 versus 172 projected. Revenue of 18 billion. People were projecting 17 and a half. Look at this AI image of a crying bear. Relative to AVGO, Broadcom, Hawthethears and Shambled. The Sift floor to Private Equity has done it again.
Starting point is 02:45:53 Up 3%. The green line. After market. I like the WoJack riding the green line upwards. After hours. Sorry. And that is fantastic news for the good folks over at Broadcom. Congratulations to everyone on smashing earnings. And thank you to the chat for calling it out.
Starting point is 02:46:09 Our next guest is from K2 Space. How you doing? Good to see you. Welcome to the show. We are trying to pull up some audio. Do we have audio here? Can we play this? Oh, sorry.
Starting point is 02:46:21 Thank you. Please introduce yourself in the company. Hey, guys. I'm Karan. I'm the co-founder and CEO of K2 Space. And can, I mean, obviously space is in the news, but can you give us a little bit more color on how you fit into the orbital economy? Yeah, yeah.
Starting point is 02:46:35 So about three and a half years ago, I started this company with my brother, Neil. We wanted to build really large, really high power satellites, which at the time, was a pretty big contrarian bet against the market. Everyone was kind of going smaller with their satellites. Yeah. And so we kind of looked at it, we were like, hey, like actually the future, if you think about it, is all about higher power, right? And we're seeing that
Starting point is 02:46:55 with things that we're probably about to talk about. Yeah, the data centers and everything. But yeah, we're building the largest space platforms that have ever existed. The largest space. So, but importantly, you're not building the rockets. That's right. Yeah, we're just doing the satellites.
Starting point is 02:47:11 We're going to be launched vehicle agnostic. Most of our first missions are going to be on SpaceX. On SpaceX. On SpaceX. But over time, we'll probably use a bunch of others as well. And when you were building the company, did you have a thesis around how the launch market would play out? Because there's, I feel like maybe this came up when you were pitching VCs, but there was probably a risk that, hey, if SpaceX becomes like a really powerful monopoly, they're going to be able to squeeze you like crazy. So was your initial thinking or bad?
Starting point is 02:47:42 hey, I love SpaceX. It's amazing. It's unlocking an incredible new capability. But I do think that, you know, Firefly will be doing some stuff. Rocket Lab might be doing stuff. Blue Origin might be doing stuff. And eventually, the market will play out that I can actually carve out a business here one way or another. I mean, 70% of our company comes for SpaceX. My brother is a next SpaceXer. So we're all, we're all pretty big fans of SpaceX. And, you know, they've made such a massive difference in the market, right? Like, when we talk about there being, like, launch abundance, right?
Starting point is 02:48:15 It's both because they made bigger and bigger launch vehicles, and they increased the frequency of those launches, right? Like, they're blowing past 150 launches this year as if it's nothing, right? It's crazy. So we always knew that we were going to need big users. Yeah, we always knew we were going to be big
Starting point is 02:48:29 users of SpaceX rockets, but I think it's pretty cool to see a bunch of the other launch players coming online, right? Like, there's a number of new players, whether it's like relativity, whether it's Andy over at Stoke, whether there's the folks over a Firefly, I think it's a really unique opportunity we have right now where hopefully five to 10 years from now
Starting point is 02:48:47 we have a bunch of choices. Yeah. Okay, so big satellites, in the business of making big satellites, what was the first big satellite that you thought would be valuable? Communications, put a camera on it, spy satellites, Hubble telescope, what were you originally thinking
Starting point is 02:49:02 before every venture capitalist said pivot to AI? So we started with giant telescopes, a bit of an extreme departure. from AI. But yeah, we wanted to build really large telescopes because everyone knows James Webb, right? Like an awesome, highly-performing telescope. But it cost billions of dollars
Starting point is 02:49:22 and took like 20 years to produce, right? And that's like kind of the straw by which we take data from the rest of the solar system, right? And so we wanted to build many more straws and many bigger straws. Over time, we realized, like, actually, if we go bigger, well, now we can start to deploy a lot of power because we can host bigger solar rays.
Starting point is 02:49:39 And if we go bigger, we can build platforms that are radiation tolerant and can handle different orbits and different parts of the solar system. But it all actually stemmed from giant telescopes, which is a little known fact, actually, about K2. But, I mean, the news today, $250 million at $3 billion valuation, doesn't look like a science project type funding round. You got TRO price, altimeter, light speed. TRO price. What does that look like? I don't know. I mean, typically, wouldn't that be pretty common in a pre-IP? Like a growth, yeah, these are serious investors.
Starting point is 02:50:13 So, so what is the shape of the business? I imagine that, like, you actually have serious, serious traction and progress, actually delivering capabilities. What's the majority of the customer-based product mix look like right now? Yeah, so because we went in such a different direction, we started as, like, just a tactical contrarian bet that two and a half years ago started to get a lot of commercial traction. So over the last three years, we've basically gone from $5 million in TCV and $20,000.
Starting point is 02:50:41 to 50 million in TCV in 24 to 500 billion in TCB in 25, right? And this is from a mix of large commercial and government customers, right? And I don't know that many three and a half year old companies that are like half a billion in TCD, right? That's insane. So, yeah, take me inside one of those contracts. Give me an example of, like, what you're delivering. Yeah, so the perfect example of power is when you think about communications, right? More power equals more throughput.
Starting point is 02:51:08 So if I drive up the power, any space-based data constellation suddenly gets more and more effective, right? And we were just like driving up the power incrementally, right? Like the typical satellites at the same price point as us were doing like one to two kilowatts of power. Our first satellite is 20 kilowatts of power. Our next satellite's going to be 100. And so we saw a really interesting use case to go after, which is just for all the players that are looking at what SpaceX is done to the comms market and are thinking about how to reset their unit economics. We were like the really interesting path for them to take
Starting point is 02:51:42 to be able to think about a fundamentally different cost structure just based on how much power we were deploying and at the price point. So commercial comms in the first place, government is the second, and I can talk about that. But those are the two big areas that we've kind of focused on as we scaled up the company.
Starting point is 02:51:56 Let's flip over to the engineering side. A hundred kilowatts, that's 0.1 megawatts, is that right? Like, how are you actually delivering that? Is it just big solar panels? Like, what's the secret to actually scaling up power delivery in space? Do you have batteries on board? Are there other propellants or resources for fuel? Or is it all just solar?
Starting point is 02:52:19 How do you actually scale up power delivery in space? Yeah. So we basically have to reset the entire satellite. We had to go build giant solar arrays. We had to go build giant batteries. We had to build giant primary structures. These things are called reaction wheels, which are these large spinning disks that help you,
Starting point is 02:52:33 point a satellite with large solar arrays. So like 80% of the satellite we rebuilt from scratch in this factory behind me. And sorry, really quickly, giant solar array in space, that could mean anything from like football fields to the size of this table, like just ground me in like order of magnitude, how big are we talking? Yeah, so the first satellite that we're building
Starting point is 02:52:53 that we're launching in three months is 40 meters. Forty meters. Wow, so like, yeah, like halfway down a football field almost, something like that, wow. And then the space yacht. Space yacht. Yeah. Exactly.
Starting point is 02:53:05 And then the next one will be 80. So it's going to be 2x the length, but obviously much more in terms of surface. And does that only fit with the Starship faring? Is that a Starship requirement there? Or can you get up? Yeah, the first one, the 20 kilowatt is made for Falcon 9. So it'll be, it's made to stack 10 into Falcon 9. It'll stack, I mean, Starship is so massive that it'll stack 50 in a Starship, which is kind of cool.
Starting point is 02:53:27 If you take the full one, yeah. Exactly. And then the next one will be made purely for StarCard. Yeah, so on the, on the commercial side from how, How are the telecom players thinking about the threat from Starlink, right? These are, you know, the big ones are multi-100 billion dollar market cap companies. They have a lot of infrastructure on Earth and, you know, from our understanding, like really feeling the pressure from Starlink. But what is their kind of mental model for Starlink as a threat?
Starting point is 02:53:55 And I'm assuming they're paying you to try to catch up. Exactly. Yeah, I think Starlink came in and basically took a business that, had, you know, call it, you'd go, like, host, like, data at $50 to $100 per megabit per second. And Starling came in and brought that price under 10, right? So every single player out there had to figure out, like, how do I go deploy a lot more capacity and how do I do it at a low cost? And deploying capacity in space is just all about how much does it cost me to deploy power,
Starting point is 02:54:26 right? If I can deploy more power and I can do so at a lower cost, suddenly I'd better use the economics. And so we were the kind of the path to doing that, right? which was saying, we're going to go max out power. So our satellite is as powerful as the billion-dollar satellites that used to exist. But it's not going to cost a billion. It'll cost $15 million. You can stack 10 per Falcon 9.
Starting point is 02:54:44 That's what it takes to kind of change the game for the telco players. So a bunch of them saw that. And we're like, okay, like this is actually something we can play around with and use. And really for us, it's just like the first customer, right? Like we're all about integrating like the hardware stack for space. We want to max out power. Today, that's for communications. Tomorrow that's going to be for compute.
Starting point is 02:55:02 And then who knows, as we start becoming like a space-faring civilization, like what we'll do with that power later. Dyson sphere. So this round got done. I'm assuming at a time when people were mocking data centers in space, there's been a little bit of a vibe shift over the last week. And I'm sure all your investors have been hitting you up. Have you ever thought about AI competing? Elon and Gavin being like, I think you got to take another look at that. see this invests like the best interview.
Starting point is 02:55:33 You should see this. I promise this isn't a data center round. I have to tell everyone. I was like, no, that's the thing. The data center would be, the data center would be three on 15.
Starting point is 02:55:46 Yeah. So it was funny. It was in November. Actually, like, you know, Delian has very strong views on this. I was talking to him about it,
Starting point is 02:55:52 early November, late October, we were doing the round. And, you know, they have a strong opinion. Founders Fund is right on a lot of things. So like, I don't always want to,
Starting point is 02:55:59 I'm not going to say, I'm going to take the other side of a bet against them, but now it's like founders fund on one side, Elon on the other. I'm like, I'm just going to watch and see how this plays out. But yeah, so our round was primarily on like the communications application. It was also on a bunch of the government constellations that we're starting to work on. There's some really interesting things we're doing that the U.S. government is pretty excited about. So more of what you call it conventional.
Starting point is 02:56:22 And like, yeah, now we'll see what happens with the data center. Price of the break going up. Yeah, yeah. I mean, it is exciting. As a CEO, like it is somewhat your job to bring energy to what you're building and bring excitement to what you're building. And if there's an opportunity, even if it's five, 10 years off, if you're going to be a beneficiary of that trend, you do sort of have a responsibility to raise your hand and say, yeah, hey, it's logical that some of the value will accrue here to me, if that's the case. But you probably also don't want to whiplash everyone and be like, actually, I've been doing this the whole time. So, yeah, any predictions on just how big some of these commercial satellites will get over the next decade?
Starting point is 02:57:04 I mean, I saw somebody on the timeline earlier talking about how in order to recreate, you know, one gigawatt of sort of compute capacity in orbit, you need something like 10,000 satellites, but eventually you could just have one, you know, data center size satellite floating out. But how do you think about size versus and just like massive individual satellites versus the more constellation approach? Yeah, I'm in the school of thought of constellations, right? Like I think we're going to build really big satellites that still exist in constellations. I think compute is going to be distributed, right? Compute and communications are going to be all part of the same distributed network, right? So our bigger satellite giga is going to be like the length of, you know, a football field, right? It's called giga?
Starting point is 02:57:55 It's called the giga. Hit the gong for giga. Best name for a satellite I've ever heard. It's an incredible name for a satellite. We are very critical of names. Sometimes people come on and they name their company's things that don't are not necessarily... Hubris.orgas.5 billion dollars seed round. What's going to happen?
Starting point is 02:58:21 Who knows? Giga is a fantastic name. Thank you. Giga would be a beautiful name for a satellite. It would be. I'm very excited to see it. Anyways, very exciting. Congrats to the whole team.
Starting point is 02:58:34 And yeah, hoping we can partner at some point to put a TBPN satellite up in space. We need one for sure. We definitely will need one at some point. One last question from my side. Take us through a little bit of a tour of what's behind you. Is this the only facility? How big is this facility? What's actually happening here?
Starting point is 02:58:53 Our satellites getting built? built out? This is 180,000 square foot factory, right, where basically you'll see the start of a manufacturing line coming down here that's going to, you can't really see it in the view, but the clean rooms over there with the satellite actually in it that's about to launch in three months, right? Oh, wow, you even have a huge sign up. It's this primary structure, side sections, final integration.
Starting point is 02:59:15 Wow, physical divides. That's amazing. Yeah. So, yeah, we're basically scaling up now. We're 11 months in, but a large part of this round that we're raising is to go scale up mass production, go from one this year to 10 next year to 30 to following year. It's awesome. And it's really all about scale at this point, right?
Starting point is 02:59:30 Like, let's get the first one to work in three months, and then let's do it many more times over the coming 24 months. And also, is the company's name a nod to your initials? Yeah, so here's the thing. Like, people think it's about my initials, and it's like, that is the most egotistical thing in the world. I promise you that is not the case. So, you know, my brother and I started this company, which starting a company of your
Starting point is 02:59:51 brother is like the coolest thing in the world to do. We're both conjures. But it comes back to the Cardyshef, right? Like helping humanity become a type 2, Cardyshev civilization, K2. The whole thesis is, like, build bigger, right? That's cool. And our logo is a big Dyson sphere.
Starting point is 03:00:05 I heard you mentioned that, right? So it's like, our whole thesis is like, let's start laying the groundwork to helping humanity become a type 2 Cardysheb civilization. So let's call the company K2. You understand naming. I'm going to, I have to name.
Starting point is 03:00:18 We had a company on called Icarus. Baker's space. We were a little bit worried about what it's worth. An insanely a insanely good team. I really hope. Maybe they're a cool idea, but they're playing with they're playing with fire. They're playing with fire. They're super cool team now. They are they are very cool. They're very cool. But there's been there's been a rash of hilarious. That's playing on hard mode. That's playing on hard mode. Anyway, thank you so much for taking the time. Yeah, great to meet you and congratulations. Congratulations to the whole Team.
Starting point is 03:00:50 Massive. Thanks, guys. I appreciate it. Coffers are full. You'll see you soon. Well, that essentially... Let's rip some timeline. Let's rip some timeline.
Starting point is 03:00:59 I want to watch this video of a hillside in China that has been covered with solar panels. When you see this video, do you react with admiration or with disgust? Tyler's nodding. This is sick. This is sick? Is this AI or is this real? Do we know? I hope it's real.
Starting point is 03:01:14 I can't tell, so... This is Casey Handmer's dream. This is Casey Handmer's dream. I hope this is a lot of... This looks pretty real. I was watching a video of somebody... There's a whole trend on TikTok of people throwing tires, the longest tire throw.
Starting point is 03:01:27 Because if you throw a tire off a mountain, it will just spin all the way down to the bottom so you can throw a tire for like miles and miles, miles, miles. It's a great content genre. Yeah, for some reason, solar panels over mountains, do you give me a little bit of disgust, whereas I get it, I'm less... Yeah, mountains are beautiful.
Starting point is 03:01:46 Deserts, deserts, I'm like... It's sort of already... Blanket it. Yeah, it's sort of already. But this looks like it would be a really enjoyable mountain range to just go on a nice little hike. And so I'm feeling the disgust, but also impressed by the scale. It's just crazy that, like, there was no desert between these mountains and who they needed to get power to, you know? Like, because, I don't know, there must be people like right there living in the foothills or something.
Starting point is 03:02:17 and they needed to put them in the mountains. I don't know. I mean, at least the mountains won't catch on fire. You know, that's often a problem. Yeah, I'm curious around the efficiency because just given the movement of the sun, aren't you going to have, like, it's actually blanketing both sides of these peaks,
Starting point is 03:02:31 so wouldn't this, not in this, you would think that finding a area nearby that was flat would be more efficient. Yeah. But who knows? Snapchat. What's going on with Snap? Anyone from Snapchat?
Starting point is 03:02:45 Focusing on the show soon? of making money. They are, let's see here. Base 16Z says Snapchat plus user growth pretty much guaranteed to reaccelerate with the new storage charges. So they're saying, you've saved 4,122 memories since 2017.
Starting point is 03:03:05 You've used 16 gigabytes of your 5 gigabyte of free storage limit. We'll temporarily back up new memories that exceed your limit for up to 12 months. Or you can join Snapchat Plus and get your 250 gigabyte. So anyways, makes sense that Snap is trying to make more money. That's good news. I'm surprised that they haven't done any sort of big AI content licensing deal.
Starting point is 03:03:35 And of course, they have a deal with perplexity to bring AI into the Snapchat product. But does Snapchat just not have any data that would be surfaced in an LLS? like Reddit seems to have done such a good job with that, but I guess people aren't really reviewing things or discussing things in text-based formats on Snapchat. It's all kind of just day-in-life content. Anyway, what else is going on? I wrote...
Starting point is 03:04:04 Here, Jordy, you want to go first? Yeah, so Trump says, doesn't see why we can't have 20% or 25% GDP growth. It says the market should continue to go up with great results. I mean, don't see why we can't have 20% GDP growth because it's like never happened in history, maybe? I don't know. What was China?
Starting point is 03:04:27 He is AGI-I-pilled. That's extremely AGI-I-pilled. Warkash has talked about this. D'Rkesh literally has talked about this. 25% GDP growth, the first AGI-I-pilled president, I suppose. Let's head over to the... Apparently, China hit 19.3% in 1970. Okay.
Starting point is 03:04:45 Yeah, is that the great thing? more recently more recently 14% into 2007 so I think Trump's looking at the data greatly forward was 1960-ish Tyler what you got okay so you guys gave me a month to write new jokes but I already wrote so you got one yeah so these were I did use LM to help yeah sure these are not never before seen never before seen by the training you get them in the next free trade did you search them in in Google to make sure Yeah, yeah, yes. I looked them up.
Starting point is 03:05:18 These are brands. The chat's going to verify, and I don't want you to get exposed. Okay, first one, ready? Okay. You're telling me Jerry rigged this car. Ooh. Is that Jerry rigged? Jerry rigged?
Starting point is 03:05:30 That's pretty good. I can't. But that's sort of like the point. But it's not a guy named Jerry. You're telling me my friend Jerry rigged this car. Okay, yeah, yeah. It's pretty good, pretty good. Okay.
Starting point is 03:05:42 Second one, you're telling me a brain washed this cult. Oh, that's really good. Oh, yes. That is novel. There we go. That is a great one. You're telling me a brainwash this cult. You need to tweet that right now because that's 100K legs right there, 10K legs. That's very good. Okay, I got two more. You're telling me a star crossed these lovers? That's sort of literal. That's sort of like what it is. That's sort of what it is. Yes. okay uh you're telling me a tongue tied this boy you got to post all four of those and see and and i would predict that that the brainwashed cult does number one does numbers uh the tongue tied boy also does decent numbers and the other two flop okay i'll tweet them now and then we'll see tomorrow yeah yeah okay that yeah that's a great
Starting point is 03:06:38 that's a great test but well done well done we gave you a month we gave you a month that is not That is novel. And that's not coming from any of the LLM. So, oh, shrimp fried rice bench is really, really good. Let's go over to Rune. He says, everyone will go public soon because they finally feel the heat of a well capitalized competition, the wrath of gnawn. There was no reason to seek enormous amounts of capital. Until recently, we will see natural interest rates north of 3% in the end of secular stagnation. Everyone's going public. Oh, in other news, 11 labs partnering with meta to power. expressive, scalable audio across Instagram, Horizon, and more, bringing natural and diverse audio to billions of users. Also, you got the founder of 11 Labs on the cover of Forbes. Look at that photo. Look at that smile. Look at that smile. Gigachad filter, engaged. Yes, yes. Not beating the Gigacad filter allegations. Yes, yes. I mean, Forbes headshot photographers, it's a great, great product. This is something that's very special. So congratulations to about to be over at 11 labs.
Starting point is 03:07:45 And the whole team. We're making the cover of Forbes. That's a huge moment for him and the whole team. Speaking of AI. Presidential AI challenge? First lady, Melania Trump, is introducing the presidential AI challenge. Artificial Intelligence is America's next competitive edge, driving advancements in your career, supporting your family, and strengthening your community.
Starting point is 03:08:08 I'm sure no one will disagree with any of that. This is why I launched the presidential AI challenge. a nationwide call to students and educators to shape America's future. Teams from all 50 states have already registered. Shape the future. Be part of the presidential AI challenge today. What is the presidential AI challenge? That's a good question.
Starting point is 03:08:31 The presidential AI challenge will foster interest and expertise in AI in America's use. Early training and the responsible use of AI tools will demystify this technology and prepare America. I think this might be the challenge. I think the challenge might be. understand the presidential AI challenge? It's like a riddle. This is a riddle. I think it's a, I think it's some, it's some sort of like, you know,
Starting point is 03:08:53 it's shrouded in mystery. That's the whole goal to test the American people. Can they understand what it is? Okay. So I think I figured out. So there's elementary school, middle school, high school. And there's challenge projects that groups of students will be able to participate in as well as awards and prizes.
Starting point is 03:09:16 Hopefully, solid gold, solid gold trophies. Massage trophies. Yeah. Statues. I want to see the comically large checkbook come out to, you know,
Starting point is 03:09:30 for the winners. Yeah. Maybe grants to schools. Maybe the exact projects haven't been like, you know, released. There actually is a cash prize. Sick.
Starting point is 03:09:41 $10,000 per team member. Wait, is it paid and money. Melania coin or Trump coin or U.S. dollars? I think the, uh, I think you mean from meme. Trump meeting. That's right. It's not Trump coin. Get it right. It's Trump me. It's the best. Okay, here's some questions. You also win cloud credits. That's so so big. Okay. That's actually amazing. I love that. A presidential award certificate. So boom certificate. You're getting cloud credits. You're getting 10,000 for your school, homeschool, or community group. And you're getting
Starting point is 03:10:09 $10,000 per team member in the middle school category. the high school category and the educator category. It's amazing. So, I mean, who, Tyler, you, I guess there's no college tier. Too old. So you have to go back to school and participate and win. Get a fake ID that says you're 13th. Just to go back and dominate the presidential AI challenge.
Starting point is 03:10:35 Yeah. Well, you know, it's exciting. Good luck to everyone. Is the presidential fitness challenge back? I don't know. Did that get a... That has to be back. They're putting gyms in airports.
Starting point is 03:10:46 Of course, of course. You're going to have to run a mile if you're an American kid. According... The first... Wait, wait, wait. I didn't see this. The first child was born in a Waymo? Yeah, according to Avital...
Starting point is 03:10:59 That is crazy. Says Lisan al-Gaib. I mean, that is... You are truly the puppeteer of the Silicon Intelligence if you are born in a Waymo. You merely adopted the Waymo. I was born. It is truly the most 2025 story.
Starting point is 03:11:17 You merely adopted artificial intelligence. I was born in a waymo. Being born in a waymo, I mean, being born in a taxi cab is like a classic thing that's like, that's like been, you know, described for years. But, uh, Sager and Jetty's coming on the show on Friday. He says, I guess that's tomorrow. He says on age 200s, the pro selling to China theory relies on it being good for U.S. interest to keep China on the U.S. technology tree and forestalling Wallweg, in my opinion, this ignores the singular flavor of U.S. biz relationship with China since PNTR.
Starting point is 03:11:47 In every case, the U.S. companies became intertwined with China, they became less favorable to U.S. interests and more malleable tools of the Chinese state. And so he's bearish on the H-200 plan, but we will dig into it all with him tomorrow. In other news, Kayser Yunus, the CEO of a president. Applied Intelligence is on the timeline. He's joined X. He says, after 16 years and 10 months sitting on a fantastic handle, he says, I'm finally writing my first X.
Starting point is 03:12:25 Also, we'll start writing more regularly. My first post is ironically on why I'm posting. And so he shares a link to a blog post, and Ryan Peterson says, welcome, brother. But also, writing a long form blog post is not being on X, L.O. which is very funny. On the blog post, he says, after many years of railing against going on X, I'm finally pulling the Band-Aid
Starting point is 03:12:46 and getting on the platform. Historically, if you've watched my talk, you've heard me say that one of the keys to applied success is focus. And I'm often demonized, I've often demonized social media specifically X as wasteful and distracting. It encourages superficiality,
Starting point is 03:13:01 showmanship, and the wrong values of a real substance. Quote, well, well, well, how the turntables. Some of that is still true, But as a company has grown, the balance has changed. The value of having a microphone now outweighs the downsides. So I'm going to try this. So glad that he is posting.
Starting point is 03:13:18 Let's hit the gong. Let's hit the gong for him. And then we've got to do the Salesforce. Before Salesforce, I want to say congratulations to share Gilles-Ozer. He is the founder of General Agents. He launched his product on April 2nd. was acquired by Jeff Bezos's very, very exciting.
Starting point is 03:13:48 Congrats to the general agent's team. Give me the Ben-A-Off numbers. How much is he making on A-I? According to Tone, Salesforce says their Agent Force ARR is now $540 million. $4.3-X year-over-year. Congratulations to Mark Ben-Eoff. This is why
Starting point is 03:14:08 he might be renaming the company agent force we will see we will see and closing it out one more Jason says the original Omega Speedmaster
Starting point is 03:14:23 29151 is one of the best looking watches of all time and this is a particularly good looking example from 1958 Harrispring knows how to shoot a watch and it is stunning stunning
Starting point is 03:14:38 stunning silhouette. Well, thank you for tuning in. Have a great rest of your day. We will see you tomorrow at 11 a.m. Sharp, leave us five stars on Apple Podcasts and Spotify. Please do. Have a great rest of your day. And Merry Christmas. Goodbye. Thank you for tuning in. Cheers.

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