TBPN Live - Warner Deal Drags, H200 Exports Resume, Meta AI Chafe Gate | Joe Weisenthal, Ben Smith, Matt Hicks, Stephen Schwartz, Saam Motamedi, Nicholas Kelez, Antoine Tessier, Filip Kaliszan

Episode Date: December 10, 2025

(00:28) - H200 Exports Resume (07:20) - China-Linked AI Chip Smuggling (14:43) - Joe Weisenthal, born September 2, 1980, in Detroit, Michigan, is an American journalist and television prese...nter, currently serving as the executive editor of news for Bloomberg's digital brands and co-host of the "Odd Lots" podcast. In the conversation, he discusses the Federal Reserve's recent 25 basis point interest rate cut, highlighting internal divisions within the Fed's rate-setting committee, with three members dissenting—two favoring no change and one advocating a deeper cut. He also examines the potential impact of future rate cuts on long-term yields, noting that aggressive short-term cuts could lead to higher long-term rates due to inflation expectations, which may not provide the desired economic stimulus. (34:20) - Warner Deal Drags (43:29) - Meta AI Chafe Gate (59:04) - Ben Smith is a veteran American journalist and media executive. He is the co-founder and editor-in-chief of Semafor, the global news platform launched in 2022. Previously, he was the media columnist for The New York Times (2020–2022) and before that the founding editor-in-chief of BuzzFeed News (2012–2020). Earlier in his career he covered politics for Politico and other outlets, helping pioneer digital-era political journalism. (01:40:43) - Matt Hicks, who became Red Hat's President and CEO in July 2022, discusses the company's evolution from offering only Red Hat Enterprise Linux (RHEL) to a diverse portfolio including OpenShift, Ansible, and Red Hat AI. He emphasizes Red Hat's focus on smaller, open-source AI models that are more manageable and cost-effective for enterprises compared to larger frontier models. Hicks also highlights the importance of building authentic open-source communities and the value of long-term commitment within a company, drawing from his own 20-year tenure at Red Hat. (02:00:58) - Stephen Schwartz, CEO of WAP, discusses the company's rapid growth, noting that to achieve a 50% increase in business, they must add over $1 billion in earnings annually. He highlights their aggressive international expansion and strategic partnerships, including a recent collaboration with Micro One to enhance their platform's capabilities. Schwartz also emphasizes the company's focus on integrating AI throughout their platform to simplify operations and support users in starting businesses more efficiently. (02:20:46) - 𝕏 Timeline Reactions (02:29:02) - Saam Motamedi, a General Partner at Greylock Partners, focuses on early-stage investments in enterprise software, particularly in AI, cybersecurity, and data infrastructure. He discusses the current venture capital landscape, noting a shift towards a smaller number of firms concentrating on long-term partnerships with founders, emphasizing the importance of enduring commitment in the industry. Motamedi also highlights the transformative impact of AI on enterprise software, suggesting that new pricing models, interfaces, and data structures are creating opportunities for startups to disrupt established companies. (02:41:08) - Nicholas Kelez, CEO and CTO of xLight, discusses the company's mission to develop the world's most powerful free-electron lasers to revolutionize semiconductor manufacturing by enhancing lithography processes, making chip production more efficient and cost-effective. He highlights the strategic partnership with former Intel CEO Pat Gelsinger, who has significantly contributed to xLight's growth and leadership development. Kelez also emphasizes the importance of the recent $150 million Letter of Intent with the U.S. Department of Commerce, which will accelerate the development of their prototype and advance their first commercial products. (02:48:17) - Antoine Tessier, CEO of duPont REGISTRY Group, discusses the launch of duPont REGISTRY Live, an online auction platform offering a 100% sell-through guarantee and a 14-day return policy for buyers. He highlights the company's recent $34 million capital raise to support this initiative and mentions plans to expand their Nashville facility to 65,000 square feet for vehicle inspections and certifications. Tessier also shares insights into the growing luxury car market, referencing a forthcoming report estimating the U.S. market at $110 billion, with expectations to double in the next decade. (02:56:53) - Filip Kaliszan, CEO and co-founder of Verkada, discusses his company's mission to enhance physical security through AI and integrated hardware solutions like cameras and access controllers, serving clients such as enterprises, schools, and government buildings. He highlights the company's growth since its 2016 inception, now boasting over 30,000 global customers, including 100 of the Fortune 500, and emphasizes the importance of on-device processing to manage data efficiently and cost-effectively. Kaliszan also touches on the potential role of AI and robotics in security, the company's flexible pricing for nonprofits, and future plans, including a potential public offering. (03:14:24) - 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

Transcript
Discussion (0)
Starting point is 00:00:00 You're watching TBPN. Today is Wednesday, December 10th, 2025. We are live from the TBPN Ultram, the Temple of Technology, the Fortress of Finance. The capital of capital. Ramp, time is money, save both. These use corporate cars, bill pay, accounting, and a whole lot more, all in one place. The perfect Christmas gift for that special person in your life. Get them on ramp. Do them a thing. Stocking stuffer. It can go under the tree. It can go anywhere. So, NVIDIA can sell H-200s to China now. It's a big reversal from the chip controls a few years ago, which actually started during the Biden admin. We were really pushing to not allow big, you know, the best and the best and most amazing chips to go to China.
Starting point is 00:00:45 Well, all of that's changed with this H-200 news. Now, NVIDIA can sell to China, but they got to pay 25% to Uncle Sam. The big man. The big man, Uncle Sam. And so the estimate for you, the taxpayer, assuming you're an American taxpayer, is that you will be $5 billion richer because Nvidia is estimating that they will be able to sell $5 billion of chips to China every quarter. That's right. 25% of that, of course, is $5 billion per year.
Starting point is 00:01:20 But it's unclear where this will actually pan out. I'm not sure where it will land. It is an interesting question because there's been a lot of diversion. There's been a lot of engineering that's happened in China to work around the frontier. But then also they might have gotten their hand on some Blackwell. There's a whole bunch of crazy headlines going back and forth. One interesting story. So there's a bunch of good arguments on both sides and there's a bunch of terrible arguments as well.
Starting point is 00:01:48 But we should go through some of these. So the best argument that I have heard for allowing an American, company, NVIDIA, to sell H-200s to Chinese companies, is basically just free trade. Keep the government out of the boardroom. Nvidia is over 30 years old. They make computer parts. If you don't believe in nuclear-level AI capabilities, then why would you be so worried about AI going to China?
Starting point is 00:02:13 It's just auto-complete. It's just better SaaS. It's not, you know, yes, it might increase their GDP. But there are tons of things that we sell to China that does. does increase their GDP. We bring the business of manufacturing iPhones there, right? We bring them quite a lot of business. We sell soybeans. We sell all sorts of food. They sell us stuff. Like, free trade has happened for decades. Like, yes, there is a little bit of a decoupling. But for the most part, the modus operandi of the American geopolitical system has not been,
Starting point is 00:02:47 try and reduce GDP growth in all of our geopolitical rivals at full stop, right? No, it's never been that way. And at the end of the day, if you're an American company, I am sympathetic to this idea that Jensen is just like, look, I'm just trying to build a big company. I want to sell my stuff everywhere. I think my stuff's good. I don't think it's dangerous. I don't think I'm making nuclear weapons.
Starting point is 00:03:12 I didn't get into the nuclear weapon business. And now I'm being treated like I'm selling nuclear weapons. It doesn't quite make sense. I understand that there are other. It's hard for him to go over there, go to Washington and argue. It's really not that important. It's just kind of like an extension of the existing software paradigm. It's just SaaS.
Starting point is 00:03:33 Well, yes, yes, yes. You're right. It's hard to sell this too. Because you can't do that and then also continue to sell this. Yes. Did we just lose power? What's going on, boys? Yeah, what's going on with the lights?
Starting point is 00:03:42 It's crazy. Probably a nation state as usual. Who knows? Trying to take us offline. Indeed. Continue. Privy. Privy makes it easy to build on crypto rail,
Starting point is 00:03:52 securely spin up white label wallet, sign transactions, and integrate on chain infrastructure all through one simple API. So there are other factors in the trade relationship. One sort of gigabrain take is, you know, if you believe that AI slop will one-shot people, it will reduce the birth rate because people will be so obsessed with AI avatars, romantic companions. Well, then, and if you are anti-China,
Starting point is 00:04:22 maybe you should export as much as possible, right? I don't see anyone making those arguments today, but I do wonder if there's someone, if you are doom-pilled in that way where you think that AI is bad, but you also think China is bad? Do you have to argue in favor of the export of the H-200? Maybe.
Starting point is 00:04:42 Let them have. I don't know. Anyway, everything. There was something interesting because we also don't know exactly how big of a deal this H-200 un-banning is because last time there was news on this front, the CCP basically said, hey, we don't want our Chinese companies buying these, even if they are available. We don't want
Starting point is 00:05:04 them. We don't want them here. And the CCP, you know, kind of doesn't want Nvidia chips filling up Chinese data centers. It feels like China, at the very least, has been somewhat receptive to this idea that they don't want to become dependent on the American tech stack, right? But clearly Chinese companies do want NVIDIA. We saw this with the deep-seek team, figuring out how to get some Blackwell, apparently. And it's actually going further than that. There's some Chinese nationals that have been recently risking legal consequences from the American justice system. This was very interesting.
Starting point is 00:05:39 On Monday, the U.S. Attorney's Office in Houston revealed something called Operation Gatekeeper. Very exciting name. The government is weirdly... great at naming in coining some of those operations? Interestingly, when you Google, when you Google Operation Gatekeeper, you get something about building a border wall. And it was, but from the presidency of Bill Clinton. So Operation Gatekeeper originally was a measure implemented during the presidency
Starting point is 00:06:11 of Bill Clinton by the United States Border Patrol. Then the INS aimed at halting illegal immigration to the United States at the U.S.-Mexico border near San Diego. It was, and so they, I guess they had, they constructed a wall on the beach in the 1990s. He literally built a wall, which is crazy to me because I thought that was like a Trump era thing. Anyway, the new Operation Gatekeeper. There's an operation for that Canadian snowboarder is called Operation Giant Slalom. Giant Slalom, that's a good name too.
Starting point is 00:06:41 So the new Operation Gatekeeper has nothing to do with the, you know, domestic immigration across the, across the, the U.S.-Mexico border, it instead is focused on AI chip smuggling, and this particular operation has just uncovered $160 million worth of illegal AI chip smuggling. Very, very interesting. So a 43-year-old Chinese citizen named Fan Yui Gong was living in... Yeah, his name's Gong. Which, I mean, we love gongs here, but I don't love this. Before we figure out the bad stuff that he's doing, let's give a quick.
Starting point is 00:07:18 It's a fantastic name. So this guy's living in Brooklyn, 43, and also separately a Canadian citizen from China. They independently conspired with employees of a Hong Kong-based logistics company and a China-based AI technology company to circumvent U.S. export controls. Basically, they bought a ton of Nvidia GPUs. Then they would send them to a copac or like a fulfillment center, remove the Nvidia labels, put new labels on the chips that would send. say sand kyan, sand k-y-a-n. I'm not exactly sure to pronounce it. Once the chips were packaged
Starting point is 00:07:57 back up, they would ship them. Oh, I said chip them. I need to change that. Probably already went out. They would ship them to China or Hong Kong under a generic classification of generic computer parts. And so everyone involved faces significant legal consequences. Now, I couldn't figure out exactly what the consequences are. I'm not sure if it's like, years in prison, but it doesn't seem good. You know, you're, you're responsible for diverting $160 million worth of chips. That's rough. The question then becomes, how did it get in their hands initially? Oh, because they, they were just like, hey, I'm a Brooklyn guy. I want to buy some Nvidia. I know, but 160 million. It's a big company. They do a lot of revenue, but you would think,
Starting point is 00:08:42 oh, what's this address that we just got this order from? Oh, is that a, is that a, it'd be like, yeah, I'm shipping into a company in Brooklyn. It's going to start. Oh, it's like a coffee shop or something like that. Yeah, maybe it's like, you know, I want to have an accelerated, you know, design studio in Brooklyn or something. I don't know. I know. I know.
Starting point is 00:09:00 But the, the, the, the, seems like a K.YC failure. Potentially. Yeah. I mean, I don't know. There was, one of the guys involved, it was technically a Canadian citizen who was from China. And so you, you stack these, all these up and you have like, okay, well, I'm, I'm shipping it to Brooklyn and the guy's a Canadian national and, you know, at a certain point, you're like, and it could have been through some sort of reseller. I don't know. I'm sure we'll
Starting point is 00:09:28 find out more. Last name's gong. The last name's gong. PN hits a gong a lot. It's probably. They probably got too excited. And they were just like, wait, we sold how many, we sold 160 million box today. Let's ring the gong. They just got fired up. But, uh, the, uh, Mr. Gong will, uh, unfortunately not be hitting any gong soon because he might be going to jail. Uh, very unfortunate. But it's like one of the worst, it's so stupid because he could have just done nothing in one. Like, because today, what he did is not illegal anymore. Like, you can actually just export the- They were H-200s? I don't know if they were H-200s.
Starting point is 00:10:01 They haven't said exactly the mix of the GPUs, but in general, it's like this happened a year to go. Why would he? So it's not like he was getting Blackwell. It's not like he would have been buying H-200s in Brooklyn. They would have been even more, like, wait, you realize we have an American version of this? No, no, so the H-200 is the American version. You're thinking of the H-20, the NERFED one. So we initially were selling the NERFed one.
Starting point is 00:10:27 Then now, with this new Trump rule, you no longer have to sell the NERFed version. You can just sell the real American version, which, of course, is great for NVIDIA. Blackwells are shipping now, and so we're still, like, the U.S. policy is still keeping China one iteration behind. And maybe that will be the ongoing decision here, the ongoing strategy. I'm not exactly sure. It doesn't, like, the administration hasn't really laid out a philosophy of this at all. I mean, originally, what was it, Lutnik said, like, we're not giving them the best we have, we're not giving them the second best we have, we're not even giving them the third best we have,
Starting point is 00:11:08 we're giving them the fourth best we have, like, the H20, it's like super nerfed. But now it's like, we really are giving them the second best we have. I don't know, that seems like a shift in policy, but we shall see. And so what's interesting is that now that NVIDIA is approved for export, I'm interested to understand where will sales to China land? Like they've said, if there were no geopolitical considerations, we could sell $5 billion a quarter, $20 billion a year, which is not a drop in the bucket, but it's not exactly, you know,
Starting point is 00:11:42 half of their revenue. I think they did $60 billion last quarter or something like that. So you're looking at like a $200 billion company. This is like 10% of their revenue is going to be in China next year if they really take the handcuffs off, take the gloves off. So, but the big question is like how much smuggling was actually happening. Like we know $160 million was happening because he caught them. But was there a billion happening?
Starting point is 00:12:06 Because you don't catch 100% of what's going on, right? So in theory there could be like a couple billion, maybe $10 billion that was happening. And so, you know, how much, what is demand actually for NVIDIA GPUs in China? I would imagine it's higher, but then, of course, you have the dynamic of the CCP. There was also this debate about... Yeah, it seems like netting at around 10% of global sales makes sense, given they're projecting 210 billion, or that sort of consensus for next year, and nearly 300 billion for 2027.
Starting point is 00:12:38 I would expect, you know, I would expect something more like 30, 40, 50% of China's really trying to, like, keep up and win the race, and this is, like, the best supplier. But, you know, I guess it does take time to build up a local industry that actually can support that level of investment in AI chips. So there's a lot of debate over this particular deal, the decision to sell H200s to China for a 25% tax. There is, there's some debate over, like, whether this should be some sort of, like, you know, big picture trade deal where we sort out the rare earth element picture in Taiwan and we also
Starting point is 00:13:21 work through the soybean issue and we work through a whole bunch of different export things all at once instead of just doing like one off one deal after another in isolation. I'm not that nervous about that. I don't I don't really feel like I really need it all to be resolved once once and for all. I feel like it's fine to have this happen and then watch the consequences of that and see how the chips stack up and how valuable is this. Because does China really, are they going to be breathing a sigh of relief in six months? They're going to be like, okay, well, if you gave us this, we really do like the chips. We're very thankful to that. And in exchange, we will be loosening export restrictions on rare earth elements, for example. I don't know that it has to all be done
Starting point is 00:14:10 within one deal. But regardless of whether America wins from this, China wins from this, it's clearly that NVIDIA wins, and also that smugglers lose, because the smugglers are going to jail. So, good luck to them. Don't break the law. Stay compliant. Get on Vanta, automate compliance, and security.
Starting point is 00:14:29 AI that powers everything from evidence collection and continuous monitoring to security reviews and vendor risk. Without further ado, I think. We bring in our first guest. Fantastic. Brother Joe. We have Joe Weisandthall. Joe Wisenthall.
Starting point is 00:14:45 In the studio. How are you doing, Joe? Good to see you. I'm good. Thrilled to be here on this wonderful Fed Day. Yes. And also, is it not the 10-year anniversary? Was that yesterday?
Starting point is 00:14:56 When did the party? The party was last night? Yeah, the party was last night. I'm sorry it didn't align with one of your hopefully increasing the number of trips to New York City. I can't wait. I can't wait. Yeah, we're going to be there all the time. 2026 on the IPO front is looking.
Starting point is 00:15:13 Yeah. I'm shocked. I'm glad. I'm glad you were able to get out of bed, sober up by 2 p.m. Eastern for this, for this press hit. For the rate cut. For the rate cut. It's very impressive that I'm here right now. Of course, yeah. Everyone should be very impressed that I'm coming on TPPN today, given the circumstances. Yes, yes. I'm sure it was, I'm sure it was a lot of holiday cheer and a lot of revelry. It was. And it's a massive, it's a massive moment. And again, just congratulations.
Starting point is 00:15:40 you've said it before. But what a generational run with Oddlots, 10 years. That's not easy. A lot of people give up. And you've stayed the course and just built and built and built. It's fantastic. And everyone is clapping for you because we're all. That's right. We love you. Let's hear it. Let's hear it. Let's hear. Yeah. Let's keep going. Let's go. No reason to stop. Let's just do this for 10 minutes. Anyway. Did you see, did you see our post? Henry on our team hit the timeline. It said, Fed word scissor hands The Fed just got interest rates By 25 basis point
Starting point is 00:16:15 Anyways break down How have we gone this long without anyone making that I've heard a million Fed puns over the years But I think that's the first time I've heard that one The genuine novelty I think it is the first time Novelty is important But
Starting point is 00:16:30 Explain to us what happened How are you processing the news What does it mean? It's very interesting to think about this cut in the context of some recent development. So I think I would start by saying that, you know, two or three weeks ago, the market didn't even think the Fed was going to cut. If you looked at implied odds from various instruments in which traders trade the short end,
Starting point is 00:16:52 it was below 50%. So I think that's an interesting place to start. The fact is, it seems like Powell probably had to do some politics to bring the Fed around and actually make the case because there are crosswinds. We know that the unemployment rate has been. creeping up. But inflation is certainly not back to target. And I think actually, if you look at the statement from the Fed, one of the things they noticed, they noted is that inflation has been elevated since the September meeting, that it's actually gone up. They're still not back to their 2%
Starting point is 00:17:24 target. In fact, it's actually drifted higher. Now, you can say, okay, well, maybe this is a tariff effect, and so you look through that. But I still think it's quite notable that we've had basically five years of the Fed not hitting its inflation target. It's still warm. And yet they, Powell got through a cut. So one might look at this and say, you know what, the Fed doesn't take 2% inflation as seriously as it used to. In fact, a lot of people on Wall Street are saying this. Maybe there's a soft, you know, 2.8 inflation target right now, which maybe the tradeoff is worth it because you don't want employment to snowball. You don't want that to run away. so maybe you tolerate higher inflation.
Starting point is 00:18:03 But look, I think fundamentally, you could ask, does the Fed take 2% inflation as seriously as it used to? But there's something else an important dynamic, which is that, as we know, you know, Trump is going to appoint or announce a replacement for Powell very soon. Trump would like to see more faster rate cuts than we've been getting. But, you know, there were three dissents. And so the president of the Kansas City Fed, Schmid,
Starting point is 00:18:30 the president of the Chicago Fed, B, they voted for no cut. The other dissent was Stephen Myron who voted for a 50 basis point cut. But this is really important because whoever, yeah, whoever. Was anyone brave enough to call for a 200 basis point cut or maybe a 500 basis point cut? Let's go and come negative. Let's just go straight back to Zerp in one shot. Yeah.
Starting point is 00:18:59 Let's get a venture, can we get a venture capitalist in there? Is that possible? Do you need credentials to be on the best? We need a venture capitalist and we need like the most over leveraged real estate developer that you've ever met and get them on the board and they would slash it to zero. Yes, but there's an important element. No, no, no, not all. There's an important element here, though, which is that like, you know, we know that Trump
Starting point is 00:19:21 is not thrilled with Powell, but Powell is good clearly at getting the votes on top. And so it raises some interesting questions, which let's say, Trump were to appoint a real estate developer. He's like, you know what I want, like that 500 basis point cut right away? It's not a, I mean, let's do something less hyperbolic. Let's say, you know, I'd say he appoints someone who wants a very aggressive sequence of cuts. That person has to win votes. That person has to win the credibility from the other FOMC members to get to make that
Starting point is 00:19:55 decision happen. And so what it's saying already, there's already a significant number of dissents. it's not clear how much a Powell replacement will have the credibility or the political standing within the FMC to actually get that increasing pace of cuts. So I know that Trump is not thrilled with Powell, whatever, that's his prerogative. But another way to look at this is he has a man in the chair position right now that could deliver cuts, period, when it's not obvious that most of the members of the FMC are thrilled. with further easing.
Starting point is 00:20:32 And, yeah, it raises some question about even if there is going to be a more doveish Fed share come 2026 to the degree that he'll be able to like, you know, get those cuts through. It's not guaranteed. Yeah. Can you help me, like, zoom out and, and understand the mindset of the Fed with regard to understand that tradeoff between unemployment and inflation? Because I could understand it if I'm a political.
Starting point is 00:21:00 And just personally, it feels like inflation is something that everyone feels. Unemployment is something that you either feel it or you don't, right? Because you're either unemployed. If you're unemployed, you are upset with the government. And if you're employed, you're like, ah, it's not great that my, you know, my brother doesn't have a job right now, but at least I do. Whereas inflation, everyone feels it. And so if I was purely in in politics mode, I could understand that tradeoff. But how does the Fed think about? that trade-off. Because it's a little bit different, right? No, I mean, the way you described it is absolutely perfect. And it's interesting. You know, look, like, if you're just going back a few years to sort of the worst of the pandemic, you know, if you think back to like spring 2020, you know, people were thinking, oh, is this going to be another great financial crisis, right? Are we going to have another period of like terrible unemployment, et cetera? Now, it turned out that the job, the labor market bounced back very quickly, almost much faster than almost anyone had anticipated. So we might sit here and say, look, you know, we avoided, you know,
Starting point is 00:22:08 we avoided sustained 10% unemployment. We avoided another great financial crisis. But I don't think like most people really like think about their life in terms of counterfactuals. And so to that, like the main phenomenon of those times was significantly higher prices, higher prices that at least for some time was, uh, were significantly outpacing wage growth. And so we know that was like incredibly popular. You know, I think the thing to think about is that one of the phenomenons that recurs over and over again in the economy is they talk about unemployment increases tends to increase in a nonlinear fashion by which you get these small increases. You get a little bit up every month. You get a little bit increase in the unemployment rate.
Starting point is 00:22:52 And then suddenly it's snowballs because it has the snowballing effect. I lose my job. I start spending less. the various stores and restaurants and services that I was consuming, they then have to cut workers because people are spending less at their establishments. So unemployment has this tendency to snowball, to go from modestly worsening to rapidly worsening. And once it rapidly worsens, then it's very hard to reverse that. Then you have to ease massively, and it takes years potentially to get back to where you were.
Starting point is 00:23:25 So from the Fed's perspective, what they're thinking about right now is, Yes, inflation is too warm. It's not at our target. People don't like it. But it'll be really bad if we let employment snowballed. So the only way to avoid that is to sort of cut in advance, to try to get ahead of it. And so that is the balance. And it's a very difficult balance, obviously.
Starting point is 00:23:48 And we know that very few people have sort of called this cycle correctly. I mean, people have been predicting an imminent recession for a long time because you have all these signs. It's like, oh, are we right there? is it all sort of one day away from falling apart? And so they're trying to thread this very difficult path here where they're aware of warm inflation, but they really don't want that sort of, they want to get ahead of the employment collapse.
Starting point is 00:24:12 Yeah. I want to know more about inflation. Sager and Jetty did odd lots. Everyone should go listen to that episode. It just came out a week or two ago. He's coming on our show on Friday. I know he's going to try and pin the inflation on the AI data centers. Is there anything to that? Have you seen any data that helps understand what's going on
Starting point is 00:24:33 at a lower level within the inflation numbers? Because, I mean, I was at Target last week, and I feel like they were selling TVs for like 40 bucks. And so stuff's still getting cheaper in certain segments, but then other things are getting more expensive. What's actually happening within inflation if you try and unpack it a little bit? I basically, if something is made in China, it's getting cheaper. Like, that is like the phenomenon of the, maybe the last 25 years, which is that you can break down things that China makes and things that China doesn't make. So China makes TVs, the prices have collapsed.
Starting point is 00:25:08 Does China make your child's daycare center? Nope. No, unfortunately does it? So child care costs. Does China build your homes? Unfortunately not. And so the price have gone up. Yeah, exactly the right.
Starting point is 00:25:19 So once the teleoperated, once the humanoid robot is taking care of your kids, And the teleoperator is in China, then it gets cheaper. Then it will get cheaper, but that is the phenomenon of our time. Look, I think the data center story is very important. They're all kind of, you know, I assume you guys talked about it yesterday. I thought the boom aerospace story was super interesting because all of these different aspects of the supply chain are being reproposed towards AI. It's like this is worth more. Their technology, at least at this point, might be worth more in a AI data center to make natural gas turbines
Starting point is 00:25:54 than in a plane that might or might not exist one day. Yeah, I mean, the narrative over the last with, uh, over, you know, Cruceau and the core weave and so many of these neoclouds, I mean, they started out as Bitcoin miners. Um, and then, and then the highest and best use switched and very quickly these, these became AI factories, uh, AI data systems. Yeah. So what I think is there are a lot of resources that are being, you know what? This we could reallocate this better to.
Starting point is 00:26:24 AI. And that means that that creates an element of tightness and the supply chains, certainly in key categories. I think by and large, it would be hard at this point to actually draw a line, however, between what's happening in data centers to measured inflation. And even electricity prices, which would be the most direct line, because we know electricity prices have gone up quite a bit, the link between electricity prices and data center buildout, it's pretty tenuous at that point. It's not really enough to be meaningfully moving the dial. There are other drivers of higher electricity prices, including just maintenance on the wires, which has gone up for just sort of garden variety inflation reasons. Yeah, I feel like the Boom Supersonic, if Boom did release
Starting point is 00:27:14 a fleet of supersonic planes, that should be deflationary to air travel in theory, even though it's going to come in at the super high end. Just having more planes is a supply and demand equation and you're going to see deflationary if they move over into focusing on AI and it pushes out their time. Of course, Blake at Boom is arguing that this actually accelerate their timeline because they can, and I'm sympathetic to that argument. Yeah, me too. But it was fascinating to see that like, okay, there are companies that I could see
Starting point is 00:27:45 pivoting to AI. Boom was pretty low on the list for me. Yeah, you didn't think that the airplane started up. No, not at all. But it makes sense. Yeah. Right. Like if there's, I mean, it's intuitive.
Starting point is 00:27:56 I mean, this is one of the ironies about sort of talking about inflation on the big scale, which is that what do we get things more, how do we get things cheaper? Well, we need more supply side capacity. We need more planes. We need more wires. We need more all this. In the meantime, that all costs a lot of money and it absorbs a lot of resources, et cetera. So supply side expansion sounds really nice because that's ultimately how society moves forward.
Starting point is 00:28:20 and things become more affordable, et cetera. However, to get there, that is a resource-intensive process. And so it's not the kind of thing that, like, A, none of that disinflation will happen tomorrow or the next week or the next year even. And in the meantime, it creates tightness across the supply chain, which is potentially inflation. Yeah, I mean, the other thing, anecdotally, I know a number of companies that were just like, oh, we have tariffs now. I'm going to pass this on to consumer, the consumer.
Starting point is 00:28:50 and they just immediately raised prices. And so that factor is very real. How is Wall Street in general thinking about the tariffs just being determined to be unconstitutional? Yeah. There feels like that... Wait, do you mean the NVIDIA 25% tax? No, no, no, no. I'm not talking about export tax.
Starting point is 00:29:13 Yeah, the risk that the Supreme Court says the tariffs are null. Like, you know what I think, like, I think Wall Street would just love to not have any more headlines about tariffs. Because look, the stocks are basically at all time highs, even with the tariff announcement. No more headlines. No more headlines. Call them off. Moratorium. It presumably if the Supreme Court. Just 2% a day forever. That's all we want. Yeah. Presumably, if the Supreme Court strikes down these tariffs, the assumption is that the administration will come up with new tariffs under some different rule. come up with some different argument that's not national security related.
Starting point is 00:29:50 Tariff jiu-jitsu. But then we have more tariff headlines. So it's like I think that in theory, yes, maybe it's better for stocks in the market if the Supreme Court strikes down the tariffs. In reality, I think people are like, oh, we just let them be. They have the stock markets at all time highs, et cetera. The last thing we need to do is to have yet another liberation day where Trump unveils a new reason to have tariffs under some other statute, some other technical.
Starting point is 00:30:17 of the law. I think that's the last thing investors want to see right now. Yeah. Yeah. How much are you paying attention to the to the 10-year now in the near term? It obviously dropped on the news and then it's just climbing back up. I think this is actually very important, again, thinking about who is when we think about the Fed in the future under any chair, right? Because what is the 10-year yield? The 10-year yield is the average. overnight yield for the next 10 years. That's how to think about it. The Fed directly controls the overnight yield. But let's just say, okay, let's say the Fed cuts aggressive. Let's say we get that 200 basis points cut of people's dreams, et cetera. Well, intuitively, that would be inflationary,
Starting point is 00:31:04 right? You set off another boom. You set off the animal spirits again. Suddenly you get more inflation and people are looking out, well, there's going to be more inflation over the next 10 years. What does more inflation over the next 10 years equal? Well, it probably means rate hikes sometime down the road. So there is this tension where, and so then the tenure goes up. And so there is this tension where cuts at the short end do not mechanically by any means, do not mean lower rates at the long end. And lower rates at the long end are what the Jews are at the Jews are at. Lower rates at the long end are what effect mortgages and credit cards and corporate borrowing and all this stuff. So this is another thing that I think the next Fed
Starting point is 00:31:43 share and the administration has to think about, which is that, you can cut rates at the short end and not get any juice in terms of the actual lower rates from the parts of the curve that actually affect the real economy. And so even cuts don't necessarily lead to the kind of monetary easing that you would like to see. Last question from my side. We'll let you get back to nursing your hangover. I thought you just assume that Joe had like such a wild night. I thought there was people.
Starting point is 00:32:15 I imagine there was a lot of people surfing going. Yeah. I like to imagine you people surfing on all the fans of the tenure. Do you read anything into consumer confidence from Black Friday? We were covering it a lot with our friends who run e-commerce stores. And like there were a lot of good signals there, but it's hard because it's like one e-commerce store that we know and they're doing well. It's not like the broader economy.
Starting point is 00:32:40 And it's a broader trend of Black Friday just moving online. Exactly. Yeah. Yeah. It's hard to know. It's hard to get. You know, it's hard to get a read. You know, J.P. Morgan, actually, they presented at a conference yesterday.
Starting point is 00:32:55 They said they're starting to see a little bit of cracks in the consumer. I don't remember the exact term. But they did call out potential frailties there, so that was very notable. It's so hard to get a read on confidence because for the last five years, we've been getting the most the surveys, we've been getting the most dismal consumer confidence measures in going back decades, you get people still like spend like crazy. It's the Vib Session thing a little bit, the Kyla Sandlin line. So it's so hard to get a read on confidence, but by and large, yeah, there was they, I think
Starting point is 00:33:28 you have to take those comments from J.P. Morgan seriously, because they have like, you know, they have a great read on, they've just so much business everywhere that they can see into these things. But by and large, there isn't a ton of evidence yet that like, oh, there's a real deceleration happening in consumption. Yeah, yeah, yeah, that makes sense. anything else? No. Thank you so much for coming on the show. Merry Christmas. Can we play some Christmas? Overnight success. Play some Christmas music to let Joe go about his day. Merry Christmas.
Starting point is 00:34:00 Have a good. Great to see you, Joe. Weekend. We'll talk to who here. Turbo puffer, serverless vector in full tech search, built from first principles on object storage, fast, 10x cheaper, and extremely scalable. The air horn over the Christmas music. It's not something I've ever heard before. Turbo puffer. Anyways, should we get into this post from Matt Levine?
Starting point is 00:34:21 Absolutely. He says the Warner Deal will take a while. We said something similar last week. I'm sure he will have a... Melvin's also coming on the show on Friday. But let's give everyone a taste of his newsletter. He says, also, Eminet AI data, trillion dollar IPOs and good TV is bad for stocks. We're really doing Bloomberg Day.
Starting point is 00:34:42 Warner Wars. It's perhaps worth saying that Paramount. offer for Warner Brothers Discovery Inc. is not exactly a classic hostile tender offer. Warner has signed a merger agreement with Netflix in which Netflix would buy most of Warner for about $27 per share in cash in stock, leaving Warner shareholders with a bit of the company worth somewhere between $1 and $5 per share. That merger will take a long time to complete. For one thing, Warner's shareholders have to vote on it, which means that Netflix and Warner need to put together a proxy statement and prospectus for the deal. File it with the SEC.
Starting point is 00:35:15 and hold a shareholder vote that could take months. For another bigger thing, the U.S. Department of Justice will need to review the deal for antitrust concerns. Those concerns are significant, and Netflix and Warner have budgeted at least a year for that review. That deal was announced last Friday, and on Monday, Paramount jumped in with an all-cash, $30 per share offer to buy all of Warner, which we discussed on Monday. It took the offer directly to Warner shareholders. It launched a tender offer scheduled to expire on Jan 8th to buy those shares. The two deals operate on different timelines. Warner plans to ask its shareholders to vote on the Netflix deal, but that vote will happen long after Jan 8.
Starting point is 00:35:51 And if Paramount buys all the shares before the vote, then the question is moot. Oh, because they'll own all the shares, they'll vote. No. Yeah. Interesting. If the shareholders all sell their shares to Paramount in January, they can't vote on the Netflix deal in March. And if 51% of the shareholders sell to Paramount, Paramount will control Warner, vote down the Netflix deal and acquire the company itself. That is the classic benefit of the hostile tender offer. It's fast. If Paramount's tender is more appealing than Netflix's merger, then Warner's shareholders will sell their shares to Paramount before the Netflix vote and Paramount will win. And if the deals are roughly equally appealing, if shareholders are more or less indifferent between the two bids, then the speed of the tender offer is a real advantage.
Starting point is 00:36:29 The headline here is that this deal is going to take a long time. And here he's saying it's fast. Well, let's see where he gets. This is interesting. I'm hooked. Then the speed of the tender offer is a real advantage. Shareholders saying, I don't care too much, but if I tender to Paramount, I'll get this done faster. so I might as well tender, and Paramount wins.
Starting point is 00:36:46 Or that is a classic theory, but it is hard to achieve in practice, and it's not really true here. Paramount's offer says at the top that it expires on Jan 8, but it's not like it will buy it, but it's not like it will buy the shares on Jan 9. Even if 51% or for that matter, 100% of Warner shareholders tender to the Paramount's offer, the offer will not close until two other conditions are met.
Starting point is 00:37:10 One, Paramount's deal also requires antitrust clearance, It is not legally allowed to buy the Warner Shares until it gets that clearance. Interesting. For a combination of fundamental and Trumpy reasons, Paramount thinks it will have a much easier time getting antitrust clearance than Netflix would. But I remember seeing that the Netflix team was arguing that from an anti-trust perspective, you know, Paramount has a lot of watch time as well. And so Paramount Plus, even though it's a much smaller streamer, you put everything together. And they were like, it's really not that. It might even be more total watch time across everything.
Starting point is 00:37:46 I'm not sure that that pans out. But it was an interesting point that just from creating the monopoly perspective, like maybe it's the fourth biggest, the fourth most controlling stake. But there is an argument there, and so it does need to go through review. And so that will hold things up. Yeah, Paramount's proposal expects to receive regulatory approvals, likely within 12 months. Faster than Netflix's expected timeline, but a lot slower than Jan 8.
Starting point is 00:38:17 Two, Paramount's deal is, by its terms, conditional on becoming a friendly deal. A condition of its offers that Warner Brothers shall have entered a definitive merger agreement with Paramount and the purchaser substantially in the form of the merger agreement submitted by Paramount to Warner Bros on December 4, 2025. That is, Paramount does not just want to buy a majority of Warner stock and block the Netflix deal that way. It wants Warner's board to abandon the Netflix deal, pay that $2.8 billion reverse termination fee, and sign a deal with Paramount instead. Interesting.
Starting point is 00:38:49 The deal is too big, and the antitrust approvals and financing are too complicated to do as a purely hostile deal. Paramount will need Warner's help to close its deal. In some sense, then the Paramount deal is not a real tender offer, one that depends only on the shareholders, one that shareholders can accept even over the board's objections. the Paramount deal is a pressure tactic, a way to get shareholders thinking, hey, I would rather get $30 in a year than $27.75 in 18 months and telling the board that. If the shareholders all would tender into the Paramount deal, then it's hard for the board to stick with the Netflix deal as a matter of fiduciary duties and shareholder pressure.
Starting point is 00:39:26 But it's not like if those shareholders all do tender into the Paramount deal, it will just close. It's a jumping off point for negotiations. And so Bloomberg's Lucas Shaw reports at Paramount and Netflix are, Girding for a battle they predict will stretch well into 2026. Lucas says... Well, if you want to follow along with Paramount or Netflix, go to public.com.
Starting point is 00:39:48 Investing for those to take it seriously. Multi-asset investing. You're trusted by millions. And yes, Netflix is on there. Paramount's on there. Warner Brothers is on there, at least for now. Lucas Shaw says Warner Brothers was given 10 business days to respond to Paramount's hostile.
Starting point is 00:40:03 $30 a share bid for the company on Monday since that offer was already rejected once. The Warner Brothers Board isn't planning to cancel the merger agreement signed last week with Netflix, according to people familiar with the company's thinking. Doing so would require Warner Brothers to pay Netflix a $2.8 billion termination fee. That puts the on Paramount to make the next move and what everyone expects to be a drawn-out affair lasting months. Paramount can follow through on its tender offer to buy Warner Brothers shares from investors at $30 each on Jan 8. It can also extend the bid to stop the Netflix deal or increase the terms.
Starting point is 00:40:34 shareholders of Warner Brothers, one of Hollywood's biggest film and TV companies are hoping for a bidding war that further boosts the price of the deal. Both companies have communicated that they have the ability to increase their offers and the Financial Times notes some WBD shareholders
Starting point is 00:40:50 expect Paramount to lift its bid before the tender offer expires after Ellison's company said in a regulatory filing that $30 was not its best in final price. Whoa, going up. Well, you get another sovereign in or something You know, spread that across everything.
Starting point is 00:41:05 How many more sovereigns do we got? We got the big, we got the big three. There's always more money. He's got to go to Norway. Norway would be cool. Paramount is privately weighing an increase or whether to instead add sweeteners intended to give WBD's board greater confidence in its regulatory prospects versus Netflix. And Matt goes, yeah, you don't go around saying on television as Paramount did that your offer
Starting point is 00:41:30 is not best and final if you want shareholders to tender. you can close next month. They know there's a lot of negotiation to come. Yeah. Yeah, it's this position that the Ellisons are in where it feels like every other week they have to offer a higher price. It's like how do you, how do you,
Starting point is 00:41:50 it's kind of a vicious cycle. Yeah, it's pretty, pretty crazy to have them, yeah, going back and forth here. I feel like it's going to land with Netflix. I don't know. I mean, this is the first time I've tracked one of these this closely in my entire life. It's also just sort of an unprecedented deal because of the scale and all the political stakes and whatnot. But it just feels like the breakup fee is real, like the fact that there's a massive multi-billion breakup fee on both sides
Starting point is 00:42:21 that's like material to their market cap, material to their, you know, you have to pay, you know, essentially 1%, 2% of your market cap in the event of a breakup. that, that feels like, like, Warner Brothers and Netflix were like, let's actually make this happen. Let's be really sure this is going to happen. Let's make sure it makes it through antitrust. Let's make sure, like, I don't know. Then again, like the Adobe Figma thing, I was shocked when that broke up because that felt like a crazy breakup fee. But $1 billion was still lower than what Adobe was trading out at the point. It was less than 1%.
Starting point is 00:42:55 This is higher on a percentage of market cap, breakup fee to market cap ratio. So I don't know. It feels like Zazlav probably thought about it a lot. But we have some more folks coming on the show today to talk about this. We can answer a lot more questions. We have Ben Smith from Semaphore. He's the co-founder and editor-in-chief at Semaphore. He's joining in just 15 minutes.
Starting point is 00:43:17 While we move on to our next story, let's tell you about graphite.dev. Code review for the AI age. Graphite helps teams on GitHub. You have higher quality software, faster. There's so much clapping going on across the studio. soundboard. Should we get into this piece on META? Absolutely. From Eli Tan over
Starting point is 00:43:37 at the New York Times. What does it say? Meta's new AI superstars are chafing against the rest of the company. It's Chafgate. It's Chafgate. We've established this. Eli writes, and us versus them mentality has emerged between META's top artificial intelligence
Starting point is 00:43:53 team and longtime lieutenants to Mark Zuckerberg. Yes. Eli writes, when Mark Zuckerberg revamped meta's AI operations this year, he recruited a new leader. Former guests of the show, Alexander Wang, a 28-year-old entrepreneur to build a team of top researchers from rivals like OpenAI and Google. That team called TBD Lab for to be determined was placed in a siloed space next to Mr. Zuckerberg's office at the center of Meadows, headquarters surrounded by glass panels and sequoia trees. Mr. Zuckerberg wanted to
Starting point is 00:44:24 separate the new AI group from the bureaucracy of the company, which owns Facebook, Instagram, and WhatsApp, said two people familiar with the matters. I'm glad those people know that Facebook owns Instagram. I'm just kidding. Five months later, that divide has become more than physical. Meetings this fall, Mr. Wang has privately told people that he disagreed with some of Mr. Zuckerberg's longtime lieutenants, including Chris Cox, and Andrew Bosworth,
Starting point is 00:44:53 chief product officer and CTO, respectively. So, yeah, so this, you're going to, you're going to be interested in this, John. So in one case, Mr. Cox and Mr. Bosworth wanted Mr. Wang's team to concentrate on using Instagram and Facebook data to help train Meta's new foundation model to improve the company's social media feeds and advertising business. Let's go. Which is you've been wanting this this whole time. Yes. It's like do this whole thing, personal super intelligence and then just make the products better, make the ads better, you know, grow the business in that way. So what did Mr. Wang say? He argued.
Starting point is 00:45:28 that the goal should be to catch up to rival AI models from Open AI and Google before focusing on products the people said. So this makes sense, right? This makes sense for Wang. I don't know that it makes sense for the company. I would like, from everything that we've seen so far, it feels like meta could like add a trillion dollars to its market cap by just focusing all this incredible talent on just making the core business better. But Wang and the rest of the team are going to be a lot less motivated by that than having the biggest data centers, doing the biggest training runs, having the best model competing on the global stage. And so I can see why Wang is pushing the other direction. Okay. So let me tell you about Adio, the AI Native CRM.
Starting point is 00:46:21 Adio builds, scales, and grows your company to the next level. But, you know, like, let's actually unpack this because, like, if, you know, Mr. Wang here, he says he's developing the model, he argues that the goal should be to catch up to rival AI models from Open AI. Like, if they wind up having a model that is, you know, actually in the same league as, as Claude and Gemini and OpenAI and it's this, like, you know, close source. It's an API. It does well on MMLU. It does really well in the benchmarks. It's like, what value does that really bring? Because like, that's what I'm saying. Even on the benchmarks. You could just go and get a model off the, like if you want to compete in search, knowledge retrieval, even agentic commerce, you can take models off the shelf in the same way that in the same
Starting point is 00:47:18 way that Apple's doing. Yeah. Oh, it's good enough for Apple, but not meta? Interesting. Interesting. Yeah. So I'm just trying to think you make the best model in the world. Are you going to go compete with? So we've seen this. We've run this with XAI, right? They are trying to build the best model in the world. Yes. And it's now becoming clear that just having a great model does not automatically give you a meaningful amount of market share. Yeah. No. No. You need to productize it. And Open AI has productized very well with a viral. Like it is synonymous with AI, consumer AI. Everyone has the app mostly on their home row. They're using it a ton. They have a billion DAUs. It's growing, you know, doing great, or MAUs.
Starting point is 00:47:59 But then you have Google, just so much surface area to actually stuff knowledge retrieval AI in knowledge retrieval products. They are, you're already trying to do that with Google search. So you do AI searches. You do, you know, you stuff Gemini in sheets and docs and all the different products. Makes a ton of sense. Anthropic, super focused on code. super focused on B2B,
Starting point is 00:48:23 Facebook doesn't have a B2B team. Like, they're not like a hyperscale like that. It might make sense for Amazon to be like, hey, we want to get, you know, we want to take that approach. And then XAI is sort of the same thing. At least they have, you know, X to distribute it through.
Starting point is 00:48:37 But being the fifth, the fifth, like, hottest. Even if the model is for this week, like the number one, right? It's like no one can really tell. It's very hard to be like definitively number. one for seven months straight. Yeah, I get excited to look at benchmarks and have people on to talk about that. Does it change my behavior? And does it stick?
Starting point is 00:48:59 And does it stick? It rarely sticks because it's like, you know, what did we see? Gemini 3 was at the top of all the benchmark. Then Opus 4.5 comes out. That's at the top. Now we're seeing, you know, 5.2 from Open AI probably coming. Probably going to beat on a number of benchmarks. Probably going to be, you know, better in a bunch of different ways.
Starting point is 00:49:17 But is that going to radically change consumer? behavior, even radically changed business behavior, no. And so, I don't know, I would be, I would be very focused on, on what can, what can be done within Instagram and Facebook and WhatsApp to a lesser extent. The flip side, the other question is, I think that there are some, just the reason, the reason to be excited about that as a meta shareholder is that AI is such an obvious tailwind for meta's business, right? It's, you know, talk to, Sean Frank from Ridge, right? He's having to create hundreds of new ad assets a week.
Starting point is 00:49:57 If AI, if meta can help him create thousands, he will spend a lot of incremental dollars on meta, right? If you can get better at targeting, if you can get better at serving content, right? And that will ultimately, over time, provide even more resources for these sort of like moonshot-style projects. Meta's been pushing, you know, this personal, super-intuitive, intelligence narrative, the only problem with that is that I don't know what that means,
Starting point is 00:50:26 right? It sounds awesome, but, and I'm happy to wait and see, but they've been having, you know, there's been a number of employees kind of churning out already, and it's possible that, that they don't necessarily know exactly what that means themselves yet, right? They're running it like a startup internally. Yeah. Let me tell you about fin.AI, the number one AI agent for customer service. Automate the most complex customer service theories on every channel. So I agree with you. What does personal super intelligence mean? I feel like there is room for product-led innovation in AI, new, new instantiations of the underlying, like new ways to interact with the fundamental, like, you know, we're having this AI moment. And then we get video models. We get, we get. get image models, we get image editing, we get knowledge retrieval, we get agents, deep research, we get coding agents. Like we've had three or four or five, like really cool instantiations of it. And not every lab is frontier at every single instantiation. Anthropic doesn't have
Starting point is 00:51:34 an image generator, right? Other labs like they're, you know, obviously open AI really thrives in the consumer and has created just a great app that is reliable and answers your questions reliably. Other companies have struggled to, you know, to hit that, to hit that instantiation. It would be very, very cool to watch the Facebook team figure out what is a way that they can bring AI to bear inside of Instagram in a cool way, in a new way. The problem is that Facebook and Instagram don't really have that DNA. They sort of tried it with the vibes app, but also as soon there's very low like ROI on that because as soon as you, you, as soon as you, like, let's say that they do come up with, like, the next stories.
Starting point is 00:52:19 And it's like, oh, wow. Like, you take AI and you stuff it in a social app and you do this one special thing and then everyone loves it. It's great. It's not just like a tap-op. Well, they didn't create that. No, I know, I know. But let's say that they did.
Starting point is 00:52:30 It's like, it's going to get copied everywhere anyway, so it's not really that much. Like, they really should just wait around for everyone else to do their R&D. They should wait. They should be Evan Spiegel. What are you doing? Come on. Invent something for us, you know? And so, and so I can actually see Alex Wend.
Starting point is 00:52:45 pushback on like, hey, you want to, you want to use Instagram and Facebook, you want to do something more incremental, but like, what are we going to, how are we going to do something great in AI in those, in those ecosystems? Like, I don't know that there is that much. Because, again, the actual like feed ranking team, that's not the Gen AI team. That's not MSL. That's not TBD Labs. That's, that's core AI. That team is cooking. They've been using GPU accelerated algorithms for a long time. They're doing fine. They're, they're, they're shipping ads. And also, all the advances in AI, they're showing up in their financial results over there. Like, the ads are definitely getting better targeted. They're showing people more ads.
Starting point is 00:53:27 They're showing people reals that they like better. Reels went zero to 50 billion. Yes, and a lot of that is an AI story. And they're not getting credit for that because it's core AI. It's not, it's not Gen AI. And Gen AI is the cool one because it's like, well, cat, picture, video, awesome music. Yeah. Yeah. What do you think, Tyler? yeah i mean i feel like a nan banana pro product in instagram is like very obvious or like um sarah is also just like in instagram yeah if they just made that it's like a killer product so i had this pitch during the yeah i i had this pitch during the uh the studio ghibli moment i was
Starting point is 00:54:01 like they should figure out how to giblify every single person's profile picture in instagram so you just the next time you open instagram it just says like hey we made a cool cartoon version of your profile picture. Do you want to share it on your story? Do you want to make it your profile? Do you want to share it to your grid or whatever? Here's, let's just preload this because it's clearly very resource intensive. But they could have done it on some sort of cron job. It runs in the background, burns a bunch of GPUs. But it gives you a bunch of cool outputs and it just gets people into the, oh wow, like AI filters are here. Clearly there's a lot of work to be done on the AI frontier, like the actual developing the model. Doesn't
Starting point is 00:54:39 seem like they have a nanobanana quality image generator model. Also, I don't know if they have the GPUs to actually, you know, release that to a billion users. And then at the end of the day, I don't know if it makes any sense because it's like everyone opens Instagram and they're like, oh, cool, you did something nice for me. You spent a dollar. And then it's like, if somebody's making great AI generated content elsewhere, they'll just bring it over and host it. Yeah. So it's a little bit, a little bit disappointing because it's like, oh, you want to do this things, but you can just, they're in the do nothing win scenario. And what do you think?
Starting point is 00:55:10 I mean, it feels like Google is getting like a massive, like they've, in the past like, what, two months, like Google stock has gone crazy because of like, oh, they're actually are playing an AI. Yeah. So it's like if Instagram basically takes all the people that started, that got a Gemini subscription because of Nana Bennett Pro, which is like probably a fair amount, if they just move them back to meta, you know, products. I don't think people will think about it that way. Like, I think people see Google and meta very differently. I think people see Google is like, it's Google for work. It's my workplace. It's where I do research.
Starting point is 00:55:39 It's where I learn things. It's where I organize my life, my data, my files, my spreadsheets, my slides. And on meta, it's like, that's the place where I look at Reels. It's an entertainment platform. Yeah, I think also for a while, I don't even know if they still have them, but Instagram had the companions, and that seemed like extremely half-baked. Are you talking about stepmom? Yes.
Starting point is 00:56:00 There was like an egg. And you talked to a cow. Yeah, it might have been on Facebook, but it was like extremely, like, not well-impacted. It was not dialed. But it was also not their team, right? Wasn't it, wasn't it like a... No, that was not MSL, that's what I'm saying. No, not only was it not MSL.
Starting point is 00:56:14 It was like a feature that was released by a meta team that then anyone could go in and create a personality. So it wasn't like a Facebook employee. It was like, I bet people want to talk to a cow. It was like, I'm going to release into the wild the ability to talk to anything. And then someone was like, oh, I have an idea. I as a user will do UGC.
Starting point is 00:56:32 It was user-generated content. So part of what maybe we haven't discussed so far is how TBD will tie into reality labs, right? Is it possible that they need in order to fully realize the reality lab's vision of having a pair of glasses that see and process everything that you see and can provide you that personal superintelligence? So you're walking around, it's like, oh, I forget that person, you know, it just pops up like a name tag for somebody, right?
Starting point is 00:57:01 You see an item in the real world and you're like, you know, you do this and you buy it, right? So it's very possible that they need to get, eventually get that on device in order to be fast enough in order to be super valuable. And so they do need this internal competency. And so I would, there's of course, stuff that we're missing here, but ultimately I can see why Boz and Chris Cox were like, hey, why don't we just figure out how to make an extra $50 billion a year by taking some of the best researchers in the world in applying them to the core business. Also, I mean, I like that philosophy.
Starting point is 00:57:41 They're bought in on the Metaverse, the AR, the XR, all this stuff. But, I mean, they do got to buy time. It just feels like they need to buy time because it feels like it's still not at some sort of inflection point where, oh, yeah, this is going to be the iPhone moment. Everyone's going to be using these augmented reality glasses next year or the year after. it's still very niche.
Starting point is 00:58:03 I was in a Best Buy. I saw the meta, the meta rayband displays, I believe there, and they were certainly not being swarmed. So I don't know if we'll ever get any data on how many pairs they sold, but I'm not seeing it on a lot of lists
Starting point is 00:58:19 of like the hottest tech items this year. I'm not seeing a lot of people buy them, gift them. It still feels like, okay, they've created something really cool, which is a, you know,
Starting point is 00:58:31 technologically. It's a heads-up display. It looks good. It's cool. But like there's a lot of work to be done to actually educate people, create software for it, make it seamless. I think it'll be a popular gift. I'm planning to give some of that. But to what degree? Like 10 million units or a million? I don't know. It's a big question. But I know people are going to be giving each other cognition. That's right. Time with the AI engineering. Devin. Crush your backlog with your personal AI engineering team. Well, without further ado, we have Ben Smith from Semaphore joining. He's in the restroom waiting room.
Starting point is 00:59:09 Ben Smith, good to finally have you on the show. Thank you so much for joining us. It's good to finally be on. Yes. Overdue. Well, we were confused. We were confused because early in the show about a year ago, you broke a story about a group chat, Chatham House, and we were very confused because we assumed
Starting point is 00:59:28 that Ben Smith was a pseudonym because it sounds like the name that goes on every kid's fake ID if you don't want someone to know who you are you make a name John Doe Ben Smith this is just a name that you pull off the shelf but it is in fact your real name correct wow that's a really insightful observation yes it is my real name fantastic uh maybe I should have used a pseudonym a lot of people were mad about that they were they were upset about that but I thought it was an insightful piece I thought was a fun little peek behind the curtain of the Chatham House. But anyway, we are here to talk about the Warner Brothers Discovery News.
Starting point is 01:00:05 First, can you actually introduce yourself since this is the first time on the show? We'd love to get up to speed on a little bit of the semaphore journey. Yeah, sure. I mean, I've been a political and media reporter for my whole career. Was it Politico and we founded that and then ran BuzzFeed News for eight years? Oh, yeah. Was media columnist for The New York Times. And so I've had like a real front row seat on how insane the media is.
Starting point is 01:00:28 in all sorts of ways. And also how frustrating it is for consumers right now, in particular, how overwhelmed people feel and how hard it is to figure out who to trust. And that, in Semaphore, that was sort of the core impulse, was to try to create a platform that thinks a lot about just sort of how you make yourself trustworthy by being really straightforward and transparent. And then how you just try to cope with the fact that everybody's overwhelmed by incoming and there are great new outlets popping up all the time that you want to be across
Starting point is 01:00:55 and there are garbage all over the place that you want to avoid. And how do you help an audience? And really, like, the people who are most driven insane by this are the most sophisticated consumers. Like, how do you help people navigate this? Well, a big problem right now, part of the chaos is on X specifically, there's like thousands of accounts that are like headline accounts, right? They're just acting.
Starting point is 01:01:17 All they do is post headlines. They do breaking, just in, all this stuff. And so now there's a whole new crop of accounts that are purely fake news, but they use the same formatting. And so now I just never, I don't, some of the stuff, I'm like, I'll, I do think it's been, it's, it's put media in an interesting position because it, in some ways, if you're like legacy media, you know, the, think newspapers, cable networks, things like that seem to have, uh, their durable edges they have like monopolized the truth. Like I, I, I still, of course they put out fake stuff now and then by accident or they, or they, They just get the reporting wrong and they'll issue a correction. But it still seems like a lot of headlines happen online. And I'm just like, I'll wait till an account from a company that has existed for more than 10 years post it.
Starting point is 01:02:10 Because until then, I can't really verify it. Yeah, I mean, X, you know, X was this incredible machine, I thought for a long time for just figuring out, like, what is going on in the world. And had lots of other problems and we got very politicized and you could have people, you know, tell you to kill yourself all day. and stuff like that, but, like, it was a decent place to know, like, what is happening, and it definitely kind of rewired my brain. I feel like I now, there's nowhere, and honestly, to some degree, this is what we're trying to do in our newsletters. Like, there's not somewhere you can log on and just be like, what is happening in the world?
Starting point is 01:02:39 Interesting. And be confident that you're getting an accurate read on that. Yeah, do you think there's a difference between, like, the opinion and the fact-finding side? I feel like with a lot of the legacy media outlets, people maybe still believe that, like, that's a good source of truth, that's a good source of facts, but they might not agree with like the conclusions or the contextualization or the opinions that are wrapped around those facts, but most people still have faith in the traditional media actually following like fact-finding guidance, but at the same
Starting point is 01:03:11 time there has been an immense amount of pressure maybe on the back of people's disagreements about their opinion section that has led to the questioning of their fact-finding section. Yeah, I think this is like truest in coverage of technology, actually. Like you guys feel it most intensely because there's been this, to me at this point, like kind of boring and repetitive war between journalists who particularly post-Trump saw everything bad they thought was happening in America as the fault of meta. And then on the other hand, technologists who felt that they were like just there
Starting point is 01:03:44 trying to build companies and being persecuted by these psychotic journalists. And I don't know, but like having been part of that on the journalism side, like it's a lot of truth to both sides of that. But I do think that we're also in a world where consumers are just not going to take a single view, a single perspective, don't want that, want diverse perspectives. And so, like, which is literally what we do at some of course is we, like, break the stories up into, here are the facts. And here's the journalist's opinion, which is transparently displayed, and here's somebody else's opinion, instead of, in the traditional way, trying to kind of weave those together. Yeah. And I think people would rather disagree with you openly and disagree with your analysis than kind of feel like you're sneaking it in.
Starting point is 01:04:23 Yeah, no, yeah, that's a good approach. Have you been processing the Warner Brothers story? Like, how long have you been covering this? Have you been covering Zazlov like the entire time? Because there's been like the writing on the wall that like this was being packaged for years, correct? Yes. I mean, I think that, you know, I mean, this is incredibly, I mean, Warner is obviously this kind of cursed company that has been acquired and sold. And each acquirer regrets the whole thing.
Starting point is 01:04:53 you know, Warner, I mean... The brothers were never split up, though. The brothers... It's stayed together. But it is also the... You know, it's the great Hollywood studio, right? Yeah. And... And when Zazlov,
Starting point is 01:05:06 this sort of unbelievably audacious acquisition of this Hollywood gem by this kind of garbage reality TV cable conglomerate of discovery, you know, Dr. Pimple Popper was buying HBO. Was this incredible bit of, you know, cable business magic and financial engineering
Starting point is 01:05:23 that then just immediately destroyed enormous amounts of value and the stock went down to like, what, $7 or $8? I mean, as a pure financial story, it's amazing, right? Like the value destroyed and now created in this bidding war that Zaslov has created. But also obviously a story about movies and politics and power and all the other stuff wrapped up. Did you think that the bidding war was fake?
Starting point is 01:05:50 Were you expecting the bidding war to materialize? in a way that felt real. Yeah, we were talking with a friend who we, who has had an incredible career in media, who I won't name, but he was like, I don't think there's going to be, I don't think there's a war here. I think a deal will get done, but I think this, there's only one person who's a real, or one group here that's a legitimate buyer. This was, again, maybe six weeks ago at this point.
Starting point is 01:06:21 certainly hasn't played out that way. I would have said exactly the same thing. I think Netflix did either like a very convincing head fake or changed their mind. And I think no one thought they're, at least I didn't think they would seriously bid. I thought, you know, Warner Media is both a bunch of interesting but like quite challenging to operate cable businesses, CNN being like the most culturally important. And then a studio, a movie studio. And there were a lot of people who really want the movie studios out. Asloff was going to, you know, spin out the cable assets and then sell the movie studio,
Starting point is 01:06:55 and that seemed on track. And so when Ellison came in and just said, I'll take the whole thing. Yeah, I definitely assumed, like, no one else really wants that. And he's, and Ellison isn't really any, he's sort of a non-economic actor here. He's, like, fundamentally, like, a kid who wants to buy a movie studio. And so how do you, how do you bid against that? And the history of the movies is being bought by people whose motives aren't economic. Yeah, kind of like sports teams, right?
Starting point is 01:07:20 Yeah, totally. Exactly. That's a great analogy. How do you think about this from Netflix's perspective? Like, obviously as a tech company, Netflix has been like such an incredibly performing stock, became so big. Was at one point Fang, which was basically Mag 7 before there was Mag 7. But from my perspective, I've been a subscriber of Netflix forever. I don't really see myself ever churning.
Starting point is 01:07:45 But I just, there's only a few things that have really broken through. Like, I know Squid Game. I know Stranger Things. There's, like, a few moments, and it's hard for me to picture the staying power. There's not as much FOMO TV as I look over the last decade of my, you know, entertainment-watching career. It's like, oh, like, I couldn't have missed Game of Thrones. I couldn't have missed Succession. There's, like, all these important moments that only came from HBO.
Starting point is 01:08:11 They only came from Warner Properties. And so from my perspective, maybe it's expensive, but it felt like this was a way to back Phil, some really, like, legacy assets that you just can't create overnight for no amount of money because, you know, it just takes 50 years to create Porky Pig, I guess. That's an amazing assertion. But I think you're basically totally right. There's something about the staying power in the cult, the entry, even just sort of like internal creative culture at HBO that has had this string of high impact things.
Starting point is 01:08:45 And then also write a library that includes Harry Potter, that includes. It's like North by Northwest, Three Days the Condor. Lord of, but like, just, you know, decades and decades of amazing TV and cinema. Colombo, I think, is in there, right? Like, sometimes you want to watch. Rambo. Like, sometimes you want to watch that. Yeah, and so there's a logic to, there's a logic to that.
Starting point is 01:09:08 Netflix already also spends, I think, hundreds of millions of dollars licensing stuff from Warner. And so there's some logic to, I mean, there's some, you know, some actual synergies there. Yeah, yeah. Does the cable business end up with Paramount Skydance either way? Netflix doesn't want it. Clearly, Ellison, the Ellison's really would like the whole thing. Yeah, I was sort of confused. But if the cable business just stays out in the ether, is it just going to blow?
Starting point is 01:09:39 Doesn't Ellison just pick that up? Do they not, do they really only care about? What's your read? So, you know, I don't know. I mean, I think my, the basic thing that people would always say at Paramount is CBS News is 5% of the company, 5% of the revenue and 80% of the headaches. And the way in which the news business has gotten swept up into this is that that's what Donald Trump cares most about. I mean, he also wants a remake of Rush Hour 4, by the way. That was a scoop one of my colleagues had recently.
Starting point is 01:10:10 Is that real? Oh, 100%. He has been confirmed. He told Larry Ellison. That's crazy. rush hour four. There's only been three. I want four. Jackie Chan is like 71 so it's challenging. These days
Starting point is 01:10:23 these days they shoot his fight scenes like in the dark but um but no that's Brett Ratner is making that movie because Donald Trump wants it and but mostly what Donald Trump wants his favorable coverage of Donald Trump and by the way however favorable it is however favorable you're making it that is not favorable enough
Starting point is 01:10:38 he wants it more favorable than that as the Ellisons are now finding like they've I think softened CBS's approach a bit and all Donald Trump is going to do is yell at them about negative coverage of Donald Trump. So it's like a bit of a slippery slope there and also a disturbing thing that the president is interfering
Starting point is 01:10:54 in regulatory matters to affect coverage himself. Does the president get a report every day of like, here's the different takes? Because I'm assuming he's watching Fox. I'm assuming he's dailying Fox. So is he getting like a deep research report? Do you think he's running like a query in chat, GPT? It's like, tell me what's...
Starting point is 01:11:12 He's watching a lot of TV. He's got a bunch of screens up. He's switching between them. and then he has an aide who has an iPad who brings him things that are of particular significance that he then watches the clips. He's watching a lot of television.
Starting point is 01:11:26 Don't worry. The CNN part of this, and I think the Ellisans do care about news, particularly they're very, very pro-Israel and they were disturbed. They felt CNN got CBS, got too anti-Israel. And I think they would like, I do think they are sort of ambitious about CNN
Starting point is 01:11:43 and there's always been a thought that CBS and CNN would make a good combination. But the driving force here is the movie business. And the news business is implicated as a way to make Donald Trump happy. Yeah. And is that just David Ellison's passion for movies? I mean, he did, I think something that's getting lost here is like he founded a movie studio 20 years ago.
Starting point is 01:12:02 Like he's not like new. This is like a pet project that he picked up today because Oracle stock popped. Like this has been his life's work. Now he's had, you know, a massive advantage with his dad. but, like, it's not like he was doing a basketball thing last month, and now he's doing movies. He's been doing movies the whole time. Yeah, no, totally.
Starting point is 01:12:22 And in fact, like, lots of rich people dabble in the studio business, and he's built something totally real and made a lot of movies we've all seen, top gun. I mean, like, you know, like, really, like, big stuff. And Skydance has been, like, a successful, important part of Hollywood. And he's also, I think he importantly kind of, like, learned a lot. Like, he's not a newcomer to this weird business. Totally.
Starting point is 01:12:41 Yeah, what did you read into the text message? He says, he says, you know, he sends this message to Netflix to say, we, you know, we had dinner and we, you know, you will find out that we are who we were at that dinner. If he's buying the company, is that, is that a, you know, is that setting the expectation that they'll be continuing to work together for five years, 10 years, or is it just like in the course of this sale process will be good people? I mean, I have no idea what that text message was. It was sent, I think, hours after his lawyers had sent, like, some kind of flaming letter to the board saying, you guys are screwing us and aren't playing, you know, and are refusing, and aren't negotiating in good faith and giving it a sweetheart deal to Netflix. And then sent a kind of, to me, like, kind of hapless and plaintive message to Zazlov saying, really, I love you. It's a good cop, bad cop. This is a classic strategy.
Starting point is 01:13:35 Yeah, I guess so. What do you think are some of the, like, the outsider interpretation of the deal? A lot of people are worried about, you know, just Warner Brothers getting sold. It feels like some people are anti-Warner Brothers getting sold to anyone, because they're like, no matter where it goes, they're going to cut jobs, or they're going to pull back from movie theaters. How are you interpreting that? And I do think the people that are like, oh, well, you probably subscribe to Max. and Netflix, and you'll be able to cut one of them.
Starting point is 01:14:10 Yeah. But I just don't buy that Netflix wouldn't just, they might give you like a sweetheart deal for a couple years until everyone forgets. And then it's like, hey, we have like, by far the best portfolio of content in the world. And we're- You might even call it a bundle.
Starting point is 01:14:25 We're bundle-maxing. We're back to the bundle. And as a consumer, I am annoyed enough at having different accounts and bopping around. I'd be happy for just one, I'd be happy for re-bundling but I just don't buy that it's like a win for consumers
Starting point is 01:14:43 and even in the medium term and probably not at all in the long run. You know, I don't know if it's not a win for consumers because that thing you said, like it's so annoying. This landscape is so annoying for consumers that you realize, oh my God, I signed up for MGM plus two months ago to watch something and it's still billing me
Starting point is 01:15:00 and everybody is living in this world of like two or three streamers. You feel like you have to have three or four others that you forgot you signed up for and it's not a tenable situation and I think that that kind of consumer push is pretty real and is the
Starting point is 01:15:15 kind of like the obvious in the media is a boring straightforward business that we're not like trading credit default swabs here like and I think that just obvious consumer sense that it's time to bundle max again is what's driving this to have the number
Starting point is 01:15:30 the notion that you solve it by basically having the number one and number two merge with each other is like it's not the obvious solution to that, I think. And I totally agree with you. Obviously means prices grow up. I mean, the people who are most freaked out, though, are the sellers, right? Are the issue with like, is this a monopsony or like the, you know, are the movie makers? The actor's going to take a haircut because there's only one buyer left.
Starting point is 01:15:52 And they're very, in Hollywood is obviously very concerned about that. Yeah, if you have one buyer, you have, you're a price taker. Yes, yes. Yeah, it's funny. I was on the consumer side, I agree with you. I was looking for posts about the deal potentially being a monopoly, and I found multiple posts that were like, I missed when Netflix was a monopoly, and they had everything in one place.
Starting point is 01:16:13 Now I have to go to six different streamers, and I was like, that's funny. But yes, on the buyer side, that is obviously more of the risk. I wonder, how are you interpreting the rest of the big tech companies playing in Hollywood right now because it feels like Apple has a lot of money to spend on buying media assets and buying movies and producing stuff. Amazon as well, who knows, maybe Mark Zuckerberg buys the rights to UFC for VR. Then eventually it starts getting into movies. It feels like there's a lot of money chasing media generally. Do you think that we're going to see more of like a pullback from the other big tech companies?
Starting point is 01:16:53 Or do you think they'll go harder than ever? How are you interpreting the rest of big tech's role in hot? Hollywood changing? You know, it's a great question. I mean, Amazon and Apple in particular, both spend a lot of money. Neither have quite built the, I mean, I would say almost the creative culture that Netflix did manage to and that HBO is really the best at, which is a kind of willingness to take these cultural risks.
Starting point is 01:17:18 Like, it's not a tech business. It is a business of taste and of relationships and of all this stuff that's hard to scale. Apple's made a lot of, obviously, like, wonderful stuff that has. some cultural impact, but they're also incredibly careful about their own brand in a way that I think is ultimately, like, makes it really hard to do the things that really cut through cultural, like, I talked to a filmmaker years ago, right as Apple TV was getting spun up and Apple was starting to take it more seriously. And he said, like, no way, it's not going to work because Hollywood is a hits-driven business. It's a venture capital style business. You have a lot
Starting point is 01:17:56 of F-minus movies for that one A-plus movie it's all about this high-risk and Apple does not like having you know egg on their face for a bad result and so Apple everything has to be an A-minus level basically to get out the door
Starting point is 01:18:12 and if you have that if you have that brought to Hollywood like he was saying like that wasn't really the cultural thing then I think what he was missing was the fact that Apple probably wants to distract from the services monopoly and so there's a whole but there's a whole extra incentive to continue saying like what app store revenue what are you talking about when we
Starting point is 01:18:31 say services we mean ted lasso like we have you know we have this i don't i don't know if you buy that but i mean brad pitt but i've always enjoyed that conspiracy theory uh cropping up over this year just this idea but we know how have you interpreted that i love i love the idea that movies are venture capital except without the returns yeah it's like you get the risk but you don't get the outsized but like at best you don't get the outsized returns yeah maybe that'll be Roll off Boto's next business. Yeah. He wanted venture capital
Starting point is 01:19:00 turn free risk. But, you know, yeah, I mean, the risks are also actually mentioned Ted Lassow, like, for instance, one thing that you will never see in an Apple TV production is anybody throwing or damaging an iPhone? Yeah. Like, it's just like you're living in their world
Starting point is 01:19:13 and there's smooth edges to it. Yeah. The smooth edges are crazy. I saw this whole conspiracy theory about how the lighting in Ted Lassow and Severance are both very high-key, very flat, not a lot of contrast. And that that would potentially, like, prepare you for this metaverse where you're in the Apple Vision Pro because the Apple Vision Pro looks like this.
Starting point is 01:19:33 And it's all like, it's like the Apple brand brought to cinematography within their, like, media assets. And it was like, maybe it's just their culture bleeding over there, but also maybe it's something more about, like, their view on the world and, like, their opinions. It was very, very interesting. But at least looking at those two. They are beautiful. Yeah, the shows are beautiful. But they are little plastic, I think. Yeah, they're not grungy.
Starting point is 01:19:55 They're not divisive. They're not divisive. They're not divisive. Really good culture, good art is always divisive and something like it. I mean, even Game of Thrones, I remember watching season one and being like, oh, this is like maybe going too far. Like this is like, can this be on TV? It's like edgy.
Starting point is 01:20:09 It's like there's a lot of like, you know, the adult content, the violence. Like it definitely pushed boundaries even though it was like, you know, R-rated, I guess. It was like aggressive and you just don't expect that from Apple. But so yeah, maybe you're back to monopsony. If you're selling something that's going to be for mature audiences, where are you going? Other than Warner Brothers Discovery, Netflix, you know, this conglomerate. Yeah, and so I think like Hollywood, it's always very torn because they really hate Trump and they hate the idea that Trump's friends are jamming this thing through with threats of kind
Starting point is 01:20:44 of illicit regulatory pressure. And on the other hand, they hate Netflix. So it's like a tough choice. Rock in a hard place, for sure. Let's switch gears to something they hate even more, which is AI. I'm curious, like, how you guys have been trying to focus your coverage, how you personally feel about it. If you could snap your fingers and make it disappear, would you? Or do you enjoy it personally?
Starting point is 01:21:16 I'm curious, like, just kind of, yeah, I'm curious on your kind of semaphores kind of view and how you've even been approaching coverage because a lot of our coverage is obviously positive. We use AI, we work, we get a lot of value from it. But at the same time, we're well aware that most, it feels like most of the world at this moment is using it, but even sort of like hate using it, which has happened quite quickly.
Starting point is 01:21:46 Yeah, I mean, you know, I guess I mostly see it as just the greatest story. Like it's just, you know, it's an incredible story right now of politics, of economics, of technology and you know we're just covering it obsessively read albergatti my our tech reporter broke the story two days ago that then invidia is going to be selling you know allowed to sell h200s to the chinese i mean it's just it's a story that is pulling everything in you have this you know american economy that is limping along except for ai which is driving all the growth i you know
Starting point is 01:22:14 talking yesterday i interviewed um governor superior pennsylvania that's all he wants to talk about i mean it's just a fascinating political i mean i use it and we use it i think probably I bet the way you guys do in, like, for the most boring stuff, it's, like, incredible for video production, transcription. You know, and essentially, like, I think the way a lot of companies are using it, which is just to take out cost on extremely boring things that you're happy to have software do. But, yeah, but I think, like, yeah, we're mostly thinking about it.
Starting point is 01:22:44 I think the story that I'm obsessing about now is really the coming political backlash. Like, I was just talking to a Republican consultant here in Washington who's essentially shopping for a candidate. to lead the anti-I president. He basically sees, thinks there's this big lane. I kind of buy this against J.D. Vance. Like, he's the front-running Republican nominee, and the attack on him will be.
Starting point is 01:23:05 This guy is a tool of the tech industry. He's a tool of these AI guys who want to take your jobs, poison your children's brains, and build, like, these weird boxes in your neighborhoods. And it's just not a popular... It's, like, not popular. And one of those strange things is that,
Starting point is 01:23:21 you know, Trump is just unbelievably pro-AI. That's where the most important decision this administration made is that David Sacks really persuaded him, came in day one. He's with Sam Altman, he's with Elon, like all in for AI. But he didn't campaign on it. He hasn't really, like, bothered explaining it or selling it at all. And so I think we're just set up for a huge backlash that you're going to see in the midterms.
Starting point is 01:23:41 Yeah, it's a fascinating story. I mean, I agree with you about AI touching just like everything you can look at it from what is it doing to your kids to, you know, you can be sci-fi and say in a thousand years, the robots are going to control everything. You can talk about jobs. You can talk about taxes and all this stuff. But...
Starting point is 01:23:59 Yeah, for consumers that aren't working in tech, they're like, it's cool to make a video of a cat surfing, but I'd rather just keep my job and keep the cat surfing videos. It's just fascinating how much tech missed this. Like, they didn't even... With social media, like you pointed out this whole thing about, you know, the war,
Starting point is 01:24:22 between media and tech around Facebook, maybe stealing the election, that type of stuff, right? It's like, well, at least everyone kind of enjoyed social media for like a decade. Like from 2006, 2016, like, yes, people were like, there's some, I saw a bad picture or like, oh, you know, I found out some bad information or something. But there was, it was mostly like, oh, cool, Instagram.
Starting point is 01:24:47 I saw a photo that my, you know, aunt posted. Like, this is nice. People had a pretty good time with it for like, Years. Years, years, years, years. And then eventually it turned. And now we've grappled with it. We talk about the pros and cons, but we all kind of use it. We're all like, okay with it. With AI, it was like, on day one, I hate this. I hate everything about it. It looks ugly. I don't like it. I don't trust it. And oh, by the way, go do some research. The people who are making the AI, they've been talking about how it's going to kill everyone for like a decade. They've been writing books about this for like a
Starting point is 01:25:19 decade. Yeah, I mean, it's right. Well, what do they think in Silicon Valley about this stuff? Yeah, we kind of created the crisis because, yeah, some of these videos pop up and you're like, wait, this was four years ago. And they said there's, you know, someone at a lab is on record saying it's very likely that AI on a long enough time horizon will kill all of them. And it's like, no one was saying that on social media, you go back and no matter what you think of Mark Zuckerberg, you go back and you find the, the scandalous video of him before he was so powerful. It's like, yeah, I was drinking a beer out of a solo cup with a journalist in an interview. It's like, it's pretty harmless.
Starting point is 01:25:53 It's pretty harmless. It's like a little sloppy, but it's like not, it's not him saying like, yes, I believe this will definitely swing the election in 10 years, mark my words. And then it does. It's ridiculous. Yeah, we skip straight to the apocalypse. And right, it is also totally Sam Haltman's fault slash an incredible feat of marketing that you say, like, I have this new product so incredible that it's going to kill everyone. Definitely got people's attention. Yeah, I mean, there is a long lineage of technical.
Starting point is 01:26:18 technology, millenarian technologies actually being, like, it's easy to marshal resources around them. I mean, in many ways, SpaceX is of the same cloth in the sense that the, you know, Elon Musk was out there saying, like, if we don't go multi-planetary, all of humanity could be wiped out. So there is this existential crisis that if an asteroid comes and hits Earth, it's over for humanity. But if we build my company, SpaceX, and we get to Mars, and we put a Mars colony there, then we have a backup plan. And if the asteroid comes and destroys one of those planets, well, the other one still got some people on it, we can rebuild. And so it was an apocalyptic scenario in some ways.
Starting point is 01:27:02 It wasn't the backbone of the business, but it was a piece of his rhetoric. But it's still more positive because it's not the rockets that are going to destroy us. It's the rockets that will save us. But it's still conjuring the idea of an apocalyptic scenario. So I always found that interesting. Yeah, and I mean, I do think that, you know, by the end of the social media era, all these CEOs, and it's still true, we're so, like, kind of beaten down by being grilled by Congress and hated the media and felt like everyone was out to get them.
Starting point is 01:27:30 They're still, like, they don't want, like, talking to the media. They, like, all are all you guys all live in your signal group chats and, like, feel that everyone is out to get them. But actually, the successful CEOs of this moment now talk to everybody or back to being these kind of mad visionary profit types who, as you say, like millinarean figures. And I think if you look at like, you know, Dario or Altman or any of these guys, it's sort of a throwback to an earlier style of maybe overselling, but of being very, very interesting when they talk about their products, not being sort of embedded in the culture wars.
Starting point is 01:28:08 Yeah, I mean, like you just, you go back through the story of like Amazon and Jeff Bezos. And it was like finance guy delivering packages. Then he's hosting some web servers. Like there was never really this like world consequential thesis that bubbled up. He's done some great interviews. He's been inspiring in many ways, you know. But he's never, he's never brought that, you know, like world historic consequences to bear in his rhetoric. And I don't know, maybe that's benefit of the company.
Starting point is 01:28:40 The company's certainly done well. So maybe it didn't hurt. It would be funny. Be like, if we don't deliver this package in two days, everyone dies. We need to do prime. We have to. The entire fate of humanity rests on you getting diapers in two days. Yeah, well, that's how I feel about the podcast industry.
Starting point is 01:28:57 Yes, yes. How do you see the podcast industry evolving? What's your take? I mean, you mentioned, like, consumers being unhappy with media, and I think I can think about a bunch of different instantiations of that, but like the fragmenting media landscape, like, how are you thinking about what it means to be
Starting point is 01:29:17 like independent, like the micro-nym cell community? Like do you think that there's like a pendulum swinging and we'll see re-consolidation, re-bundling? Or do you think it's just going to diffuse and be smaller and smaller operations
Starting point is 01:29:33 forever? How are you thinking about like the new media landscape? Yeah, I mean, you know, it's, gosh, it's been like new media as long as any of us can remember. Someone was calling the verge new media or legacy media. And I'm like, they're like, yeah, they felt very new media. It was very funny. Anyway, sorry.
Starting point is 01:29:50 Yeah, like I sort of was a blogger when that was new media, right? So it's I feel like I've seen. But, you know, I do think there's like still a nostalgia for a 20th century media that's like not coming back because that was because you needed a broadcast tower or a printing press to reach a lot of people. And that was a, and there's been a tech. And I think when people, people in my business and in the East Coast media often try to figure out, like, what went wrong?
Starting point is 01:30:11 You know, was it when the CBS News got something wrong about Bush in 2004? Was it when the New York Times put up its paywall too soon or too late or something? And, like, no, there was a huge technological shift around distribution that kind of swept away a lot of this old stuff. And it wasn't something they could have tactically really avoided. Like, it was just a huge technological change. And so they'll never be that kind of, or not in our lifetimes, that kind, unless the government imposes it, reconsolidation around a very limited number of news sources.
Starting point is 01:30:39 Like, you've got to go to North Korea for that. But that said, I think we are, because it's driving consumers crazy, the pendulum has swung out. They say media only bundles and unbundles, and we're out at the unbundled moment. And you can just see it swimming back. Like, Fox is rolling up right-wing podcasts. MSNBC is about to roll up a bunch of left-wing podcasts.
Starting point is 01:31:02 By the way, are we still calling these things podcasts? Like, it's TV. And everything is converging on this, tell, this. very familiar but kind of boring television format that we'll start to get juiced up and become a game show with 19 boxes and whatever and we're all going to have to start spinning.
Starting point is 01:31:19 I can't tell if you're talking about us. No, you know what I mean? We also produce a podcast that I think looks fine but I can feel the pressure to raise the production values whereas like two years ago we could all been like in our pajamas
Starting point is 01:31:32 in our basements and it would have been fine and so I think there's this convergence and the audience is going to expect it is going to be competitive It'll have to look better. It'll be more tightly edited, I suspect. People are going to want that.
Starting point is 01:31:44 And it won't look like old TV, but I do think you're going to see consolidation or at all the advantages you get when you're consolidated. You have a central guy selling all the ads. You can build subscription technology. You can cross-promote. Like there's all these, again, media business is so unlike the tech business and unlike the finance business and how uncomplicated it is.
Starting point is 01:32:02 And I think, like, you're going to just see consolidation for all these really dumb and obvious reasons. that have to do with. And also it's sort of exhausting to run a small business for a long time and people who start them will I don't know how you guys
Starting point is 01:32:16 actually I'm curious because you're in this like how are you feeling about it? Do you want to stay independent you want to be consolidated? Well I would say the best way to think about is we like being
Starting point is 01:32:26 the talent side we're not in this to run a we don't have any interest in running a multi-hundred person organization. We don't really even care that much about scale. We're very okay with
Starting point is 01:32:38 our niche we think it's like a couple hundred thousand people in the world that like are really going to enjoy this content and millions more will see the content in different forms but uh knowing it's also really a very friendly environment like like just earlier on the show we had joe wisenthal from bloomberg like we're not trying to poach him to do the joe wisenthal show on the tbPN network because like the whole network thing's a joke uh it's just a show we and so i'd much rather you know joe just does odd lots, which is a fantastic show, and then comes on our show when he feels like it and it makes sense. Yeah, the question going back to like saying, you know, MSNBC, what MSNBC is doing with podcasters and what the cable networks are doing with podcasters, my, when you look at the
Starting point is 01:33:26 revenue that these cable networks, you know, basically the revenue streams that they built up over time getting a dollar from every home that is subscribed, et cetera, her channel. It depends on the network. But I don't, like, it's so hard to rebuild that with independent creators and get back to the scale, right? It basically shifted to the streaming. You know, you need a website. Like, a website or an app is now the distribution. And so I think that, you know, we just, we understand like this huge bifurcation between the platforms and then the individual creators that can command attention, right? But if somebody came to you and said, like, you know, I heard you guys say on TV just
Starting point is 01:34:14 the other day with Ben that you wanted to be talent, and like, you know what, like, we'll just like, we'll take all this off your hands, we'll pay you a salary, we'll commission you in some way on the, but you don't have to worry about anything else. We'll get you hair and makeup, like, whatever, you know, fly business class, whatever you. want, you know, and treat you as talent. You just don't have to run a company and worry about all that stuff. Like, I think that's going to be the pitch to people who are getting exhausted, who are super successful creators, but are sick of running a small business, don't really, aren't, I mean, you guys are actually entrepreneurs, so it's a little different. Yeah, it's weird because I don't know.
Starting point is 01:34:45 Yeah, so we've built out, you know, we hired. But I understand that from a lot of perspectives, for sure. We hired somebody I've worked with in the past Dylan, uh, who started his career back at CNBC worked at HQ trivia, like understands media really well. We've built out a team around us that allow us to do that and allow us to work on the stuff that we really enjoy. I think one thing that's been interesting is how many, how many traditional journalists have gone independent, but historically they were in the scoop business and then they go independent and they realize like when you're a part of a bigger media company, you can get one crazy scoop every three months and you're like from my from my view like you're killing it like you're
Starting point is 01:35:30 adding a lot of value to the organization but when you go independent and you're like getting a scoop every few months is that enough are you creating enough value to justify having people give you a lot of money every every single month I think yes to some degree but I think you'll see a rebundling in certain niches around let's say a bunch of like scoop driven technology journalists that say, like, hey, we all went independent, but we should actually kind of re-bundle together because it'll just create a more incentive for somebody to subscribe
Starting point is 01:36:01 because they know, like, on an ongoing basis I'm going to be getting. And that's what obviously you're doing with... So like a TBPN roll-up of, like, Alex Heath and Casey Newton? We wouldn't want to, we wouldn't want to do that, but I'm joking. But I could... I totally see what you're saying.
Starting point is 01:36:16 I mean, in a way, the way we don't sum of four was. That's kind of what you're doing. Yeah, and I think... Totally. There's a kind of scoopy, aggressive, of being a reporter, especially what I am, who wants that, who I think I want, people want that kind of direct connection with an audience and authenticity and transparency that you get with substack, but also there are features of that kind of reporting that
Starting point is 01:36:35 it makes more sense to be part of a newsroom. And we've tried to create a space that is that is the best of both of those worlds for journalists. Yeah, and I think when a journalist goes from like being able to spend all their time, like, obsessing over a company or an industry or in getting scoops to then, okay, I have to do all of that still to put food on my plate, but then I also have to, like, develop an ad sales business. And I have to, like, figure out, and I have to manage a podcast editor, and I have to hire another editor, and I got to do my taxes and things, you know, like, it just really adds up.
Starting point is 01:37:11 And then are you going to be as elite of a journalist if you're doing all those things? And there's a very real scenario where someone else just takes your job, that you had previously and ends up out competing with you on scoops because they don't have to worry about any of that stuff. So I think that's something that a lot of people will have to figure out. You know a lot about newsrooms. That is so much about like the way we're thinking about spending some before. That's hilarious because I don't think have you ever been. I've never been in a newsroom but I just but but I mean yes so so much of part of a lot of the success of the reason that we've been able to break through this year is we're not trying to do anything else
Starting point is 01:37:49 besides media, right? I mean, you've seen, how many people have you seen build a tech media company and become a venture capitalist as soon as they have any amount of... I've got to get out of... I've got to get out of it. I just enjoy...
Starting point is 01:38:03 There's very few things on Earth that I love more than advertising. So I love media. There's very few things on Earth. I love more than talking about business and technology. So we know our life. Anyway, final line around. What's the biggest fish?
Starting point is 01:38:19 river caught the biggest like fish fish yes not not a scoop not I went out with my uncle and the I got fishing for strippers with my uncle in the middle of the Hudson River cool I think we got like a 45 pound striper I'm probably it's probably 40 I'm like I'm over obviously it's it's grown since I caught it nice we're hitting the gong for you all right thank you thank you last last question I don't know gong for scoops but I'll take it we'd love to hit the gong for scoops but But I'm curious if you think that kind of blowback against widespread gambling will be at all a part of the next election cycle. Do you think it'll be something that certain politicians kind of like latch on to and realize that there's a large number? Yeah, the AI thing feels obvious right now, but the gambling thing, it feels like maybe that's coming soon.
Starting point is 01:39:12 Yeah, I think, you know, whenever there's something where you're like, it's crazy that this was ever illegal. like why why did the idiots of the past why were they ever against this we should obviously just legalize it then like brace for backlash there was probably a reason yeah and and totally yeah i mean i think lots and lots of religious people lots of non-religious people are like going to get pretty or getting pretty upset about this and there's going to be there have been these sort of small-scale be list athlete corruption scandals oh yeah but we're going to have our you know chicago whites black socks moment right for sure and that'll be the thing that drives it i bet yeah yeah yeah yeah yeah make sense. That would definitely be more of a national story. Nothing's really broken out and
Starting point is 01:39:50 been like the current national story for like a full week. But I mean, imagine how much money you could make fixing the Super Bowl. Exactly. Yeah. That'd be crazy. And that would really, yeah, that'd be really depressing to a lot of fans. But not me because I don't watch the Super Bowl. And actually, it could just be like a parley where like you fixed like the, you know, how many how your shoelaces were tied in the second half or whatever. Yeah. Anyway, thank you so much for coming on the show. Great to meet you. Yeah, thanks for your own.
Starting point is 01:40:18 Yeah, nice to meet you guys. Thanks for, thanks for me. This is a lot of fun. We'll talk to. Cheers, Ben. Bye. Let me tell you about numeral.com. Compliance handled.
Starting point is 01:40:27 Numeral worries about sales tax and VAT compliance, so you can focus on growth. Our next guest is Matt Hicks, the CEO and president of Red Hat. We've been keeping him waiting too long in the restream waiting room. So let's bring in Matt Hicks to the TBPN Ultradome. Well, when we have a second. I'm sure he's been. tuned out because we had him. There he is.
Starting point is 01:40:49 I'm sorry for keeping you waiting, but thank you so much for joining the show today. How are you doing? Hey, I'm doing great. Great. Thanks for having me. Yeah, really happy to have you here. Would love an introduction on yourself a little bit. I know that you became the CEO in July of 2022,
Starting point is 01:41:06 but I'm more interested in understanding the landscape of the business today, how you describe the shape of Red Hat and all the different business lines that have developed over your tenure to become what the company is today. Yeah, we've, you know, I've been a Red Hat for a long time, actually over 20 years now. And so I started at Red Hat, actually, in IT.
Starting point is 01:41:29 When it was just, it was just REL at the time. And if you fast forward today, we have REL, we have OpenShift, we have Ansple, we have Red Hat AI. I like to describe as like when I started in open source, you really only had an operating system that was there. And today, you have any software that you could create any company idea to help you do that. And we try to cover that gamut, everything from operating systems to, you know, clustered capabilities with Kubernetes to AI capabilities and smaller model.
Starting point is 01:42:06 So it's been a fun ride for a couple decades here. Yeah, I'd love to just jump into the AI side of the business. How are you thinking about bringing a red hat appropriate product to bear in AI? It sounds like you're not training your own huge model, trying to compete with the big foundation models, but I'm sure there's a bunch of ways that you can plug into your client base. How are you thinking about the shape of the AI business over the next few years? Yeah, I think for us, and this is how we use things internally.
Starting point is 01:42:41 We think you're going to end up using frontier models and the capabilities there in addition to smaller open source models. And I often describe it. If you go back to like when Google search was invented, you had this feeling like it was going to change everything in business. But you didn't apply a Google search appliance to everything you did. Like you still had relational databases. You still had specialized applications because you needed that control. Frontier models to me are sort of like Google Search. They're going to change everything.
Starting point is 01:43:15 It's going to be pretty incredible. We don't know what will happen there. But they show possibilities. Small models for us are the things that you can train. You can specialize. You can run them in a factory or space station, or you can run them as a mere mortal yourself in your own data center. And that combination is really powerful.
Starting point is 01:43:37 Like that's what we use internally. So our business is squarely. in that smaller open source models. When I say smaller, still pretty large compared to traditional computing, but compared to those frontier models, they're just a very different tool. So, yeah, walk me through what a customer might experience
Starting point is 01:43:56 if I come to you and I say, I have a business problem. I have a whole bunch of, you know, like data flowing in images that I need to OCR and transform into JSON or something. Like, I have a defined business problem that transformer-based large-language models will be good for, but I want something that's, you know, five-nines of reliability,
Starting point is 01:44:18 that's, you know, I control the ownership of the code. It's economical. What do you bring to bear to help the customer achieve their goals? Yeah, so I think if you have that use case, and I often talk about it's like the three-ps. We use frontier models to understand what's possible. once you know it's possible with frontier models, if it's not possible with frontier models,
Starting point is 01:44:44 it's like just stop there. It's not going to translate that well. That's good. But if it is, then your second P is production and your third P is profit. The models we look at are about 100 times smaller, just in size.
Starting point is 01:45:02 And so generally you could say, if you can run them well, they're going to be 100 times cheaper to answer those questions, you're going to ask it. And so we work with customers to really find that use case. It doesn't always fit every aspect, but how many of those pieces can you move to something that is 100 times cheaper with it? And it requires some, you know, you're competing with the Googles of the world or Microsoft's
Starting point is 01:45:31 in terms of operational discipline, so you have to be able to run these things well. And this is word, you hear inference that pops up. We help enterprises with inference, just normal mere mortal data centers, GPUs, Nvidia, AMD, and running these models efficiently. So you can start to decompose that problem into, you know, what are the areas we can optimize and really control ourselves? So that's one of the use cases. We have a lot, but that's a popular one.
Starting point is 01:46:01 So, yeah, getting more specific company comes to you. And they're saying, like, I'm spending $2 million a month with this, on these like frontier models. And where do you go from there? Are you, like, breaking down exactly how they're, exactly what those tokens are being used on? And then basically saying, like, hey, we can actually break out this spend and reduce the cost by this amount. Obviously, Red Hat has a margin. But how did those conversations go specifically? and how much spend today on frontier models
Starting point is 01:46:37 really shouldn't even be going to frontier models and should be going to some of these smaller, more specific models. Yeah, I think if you look at, not overly simplified, but we sort of live in the world of text on it. So if you said, hey, my use case is video generation on all of these capabilities, that's not really our wheelhouse.
Starting point is 01:47:03 That often isn't in that space where a lot of your business is going to operate, understanding policies, understanding numbers on it. So that's the first thing we look for, does this fall into that classic enterprise use case? Because there are things you'll keep on frontier models. The second part for us is where do you want to run these? You can rent space at a core weave, for example, to get GPU capacity, or it might be data since enough you want to host it yourself. and then you're in a hardware purchase. But for us, then, it's about going one by one. Sometimes it requires changing the data a little bit,
Starting point is 01:47:42 but it's making those use cases run efficiently on it. When I look at what's that mix of what we use these big models for that we just don't need to, I think it's going to be really similar to CloudSpend. In my role, they're really powerful. I love the learning experience people are going through and using them. But I'm going to bet there's a 70, 30, 80, 20 split of where we could take things that we're paying more than we need to and be able to optimize them. And it's just
Starting point is 01:48:13 in that balance. Cloud was really good at learning a new operational mechanism and skill set. We're going through that same phase, but I think we'll be able to optimize a lot, the majority to smaller models, even if you start in what's easiest and shows you what it can do in the large ones. How of your thoughts on the relationship between building a for-profit business in and around open-source technology changed over your career? So I started at Red Hat as I loved the open source model. I was actually a consultant at the time. And I had worked with Linux in college. And my first experience, I couldn't be stopped when I was working. with Linux because if it wasn't working for a customer, I could change it. I could figure
Starting point is 01:49:05 anything out. I didn't have to be dependent on someone. And I loved that feeling, that power that came with it. Just open sourcing things and assuming a business will happen, I think is also pretty flawed with it. You have to do something different that customers value that the open source community doesn't do. And in our case, open source communities is a great innovation model. They move really fast. We help customers that they can't keep that pace and speed of open source. They want the innovation model. But once they've built their app, they need someone that's going to help support it for 10 years. And that's that value we do that communities just don't care about. They're on to the next feature. And so it's been a really nice balance of we work with
Starting point is 01:49:58 the community. We complement it, but we provide enterprise value. I think that's what's going to shake out in this world with AI of how do you find that symbiotic relationship where you can leverage open source, you can use innovation models or other areas, but you still provide a concrete value to customers where they know what they're paying you for. How have you been processing the the fact that it feels like Meadows pulling back from, you know, large-scale open-source AI efforts. China seems to be running away with it. Is there any other nuance to, is it just like a business model problem that we haven't seen, like the red hat of AI kind of crop up or stick around in the case of open AI as they've
Starting point is 01:50:44 kind of evolved their business model, although they do, of course, have GPT, OSS, and, you know, Meta Lama is still a real product. But it does feel like China has just taken open source AI way more seriously. And I'm wondering if you have any read on like, was that always the way it needed to happen? Were there alternatives? How did you interpret the open source AI LLM war play out? You know, I put it in two buckets. There's a race to AGI.
Starting point is 01:51:12 Personally, I'm not a big believer in that, but, you know, it's going to produce some incredible things on that journey. We'll see if we get there. But I think a lot of the big players, when they talk, about these billions of dollars that go into training models, they're in the race for AGI at that point. And that's a new and exciting domain for them. And I think meta is in a similar both there of what they're investing. I love the fact that they open source it, but they're in that AGI-ish camp and race. The number one innovator in open source models, I would say, is academia at this point. China has always been strong in open source. The U.S. is very strong. Europe is very strong. But if you go look
Starting point is 01:51:56 on Hugging Face at the sheer number of specialized tools we have out there, it's more than you're going to understand how to use well today. So I often, the coaching I give customers is, I don't think we necessarily need a lot more. It's just that stability in a few. So I worry less about, But, you know, China has created some pretty impressive innovations, like in the Quinn model, on training. But as long as those are shared in academia, we'll see the next mistrawl pop up with options there. But that's how I separate the two. There's an AGI race. I don't think the financial mechanics are going to work out for open sourcing there.
Starting point is 01:52:41 But then there's an academia-led ecosystem that already exists that's incredibly vibrant. that is not chasing AGI. That'll fit really, really well with the boring enterprise use cases. Like, how do you run a company a bit more efficiently? How do you chase the next engineering innovation more efficiently? That doesn't necessarily have to be those big guys. Last question for my side, and then we'll let Jordy ask anything he has. But I'm interested in advice for we talk to a lot of founders, a lot of startups that are kind of building the red hat.
Starting point is 01:53:17 of X. They're thinking about open sourcing a great piece of technology, building an open source community. We often talk to Y Combinator founders that come on and tell us, I have 5,000 GitHub stars already. I'm raising money. I'm going to build the next thing. And they're not going after Red Hat directly. They want to learn as much as possible from you. So do you have any advice for founders who are earlier in the journey? They might have built something great, a useful tool, a piece of software, and they really want to get the red hot model correct. They want to have an open source community, and then they also want to build a great for-profit business on top of it. You know, I think the mistake I see the most is I want to use it for a marketing
Starting point is 01:54:04 tool and then keep all the control myself. Almost always those fade out. You can do that. You can get a lot of eyeballs with open source. But if you don't know, who your community is. It could be a user community. It could be a contributor community. But if you don't know the value you provide them and they provide you, that marketing effort of stars only will fizzle. And it is very tough to give up some control and product roadmap to your competitors to build a contributor community. But it's what you have to do. We work with our biggest competitors side by side in Kubernetes. So I think for founders really, knowing is it the right time for them to give up that control and being authentic of their
Starting point is 01:54:51 model, it'll give them staying power in open source. It's a savvy ecosystem. No one's going to get tricked into like a star count and then you build a durable forever business off that. But a lot of options down it. But I think knowing those and putting some thought into that is a really important first step. Makes sense. Jordi, anything? What do you think working for one company for 20 years is underrated, feels like, uh, company man, maybe, maybe some of the people that are coming on the show will end up, uh, you know, Santa Della. Yeah. Perfect example of this. Satya, but, uh, but kind of what, what, what are some like unexpected sort of positive elements of being, you know, deeply embedded with a company for as long as you have?
Starting point is 01:55:38 You know, I think when I walked into Red Hat as, uh, joining the IT team to port pearl applications to Java. I didn't really see myself in this seat 15-ish years later. I didn't, you know, I was lucky enough to be involved in OpenShift in the early days. I didn't really see that. But the tenure, especially working in IT, seeing every part of the company, working in a startup in Red Hat with OpenShift, and just the pain and struggle that goes into bootstrapping something in a pretty successful company, it's what lets me do the job that I'm doing now because I have the depth and breadth
Starting point is 01:56:20 to push on things in a different way than if you are an outsider. And I think it's really powerful. It's, you know, people bounce around. There's a lot of learning to be gained with that. But for me, I certainly use every day my 20 years of, you know, all the challenges and, you know, benefits, things that have worked,
Starting point is 01:56:40 things that haven't, day-to-day. So that's, you know, I still pinch myself every day. I'm like, I'm surprised I'm sitting in this seat, but it's been a, you know, it's been a great run-up to it. And I don't think I could do a good job without that depth of experience. Yeah, how do you help a lot of people, you know, are impatient for, for the raise, impatient around the new title. What, like, what kind of framework do you give to somebody that comes to you, maybe at a different company and says, Matt, I'm at this company. I've been here for three years. I just got an offer that'll immediately make more money. I'll have a more senior title. Maybe the company happens to be the
Starting point is 01:57:20 other company making the offer is growing faster. Maybe it has more capital. There can be a lot of reasons to jump ship. But what's your framework for helping people make that decision? One, I always warn them, it's a personal framework. I'm like, it's worth what you paid for it, which is nothing on it. But for me, me, my driver has been, am I learning something new in this space? If I'm learning things, I can be patient for the right opportunity to leverage it. And I also tell them, like, you have to be accepting there's some luck in the game as well. Just being in the right place at the right time with the right skills. You can't always manufacture that. But for me, I always look at
Starting point is 01:58:05 opportunities of they're going to come with some pain and challenges. But if you learn a tremendous amount, you're going to leave that being more valuable than you came in to it. And I take that into this role. It's why in limited hours, I'm still learning AI myself to not just delegate it down the org, but to really build that hands-on experience. But that learning dimension has always been the most important dimension for me. Well, thank you so much for taking the time to come on the show of the day. Great to meet you. Great to meet you. Great to meet you. Merry Christmas. Have a great rest of your day. We'll talk to you soon. Yeah, love the show. Appreciate you all having me on. Thanks. I'm back on again soon. We'll talk to you soon.
Starting point is 01:58:47 Here's Matt. Goodbye. Let me tell you about Figma. Think bigger, build faster. Figma helps design and development teams build great products together. Um, gyms are coming to airports. This is big. This is big. Will you work out on your next plane? Consumers have been saying the other passengers aren't sweaty enough. Yeah. So this is from the... We got to have gyms in right next, right next to the gate. We have another guest joining just a minute, but I want to riff on this for like 10 minutes. This is hilarious because it seems to be a collab between the Secretary Kennedy, who's the Health and Human Services Secretary. So there's like HHS crossing over with DOT somehow, and they're like, let's make the airports healthier, which is like,
Starting point is 01:59:35 a funny thing. I feel like, I feel like these, like, these, like, labs don't happen before, but they're happening now. I don't know. The idea of working on an airport, it's kind of crazy because if you are all sweaty and then you have to, and they also said, like, you should dress up when you go to the airport. And if you're dressed up and then you are all sweaty, that seems pretty rough. But I don't know. I like the idea of doing something new in airports. I think it's cool. I think it's good that there's some, some opportunity for some sort of grant program. I guess the question is the $1 billion grant program with how much it costs to make, like, is this like 10 gyms? Well, so I don't know, because like there's a world where you build
Starting point is 02:00:18 like a proper gym in the 10 most premier airports that has like a sauna, showers, like full laundry, like, you know, you're good to go. You can spend like a couple hours in there really get a serious workout in. Or it could just be like a couple pull-up bar. and you put one in every terminal in America. I don't know. It depends on how, like, can you imagine if it's just like, okay, yeah, like, you know, turns out JFK put in an awesome, awesome application they got all $1 billion. Little calisthenics sound.
Starting point is 02:00:47 They got it all. I don't know. It's a very funny story. Anyway, let me tell you about Fall, the generative media platform for developers, develop and fine-tune models with serverless GPUs and on-demand clusters. And we have our next guest in the Restream Waiting, room, Stephen Schwartz from WAP. There he is. Stephen, what's
Starting point is 02:01:08 going on? Oh, what's up, Matt? How are you? We are great. It's great to have you back on the show. You and the team have been insanely, insanely busy, it seems. Give us the update from the last few months. Yeah, so I think we talked in March, and since then, things have been really
Starting point is 02:01:28 crazy. I think the best way to put it is that at this point in time in our company, in order to even grow the business by 50%, we have to add more than a billion dollars in earnings on our platform each year. And I guess just to put in perspective what that looks like, if we were to onboard 1,000 businesses that do a million dollars a year, which those are not small businesses, that would only grow our business under 50%, which is pretty bad. So I think that the story of our recent months has been, how are we going to really, 10X is saying. And that requires us to think a lot bigger. So we've been expanding pretty
Starting point is 02:02:05 aggressively internationally. We have been partnering with really amazing platforms. We had an announcement earlier today. And I think that there's a lot of stuff that breaks when we grow. But the year's been pretty nuts. There's a lot of stuff coming out soon. And I'm really excited. And how big is the team today? The core team, you know, people W-2 by W-WAP. Because I imagine that like part of the benefit is, you know, everyone on the platform has some incentive, you know, incentive to grow the platform and support. But I'm curious what the core team looks like. It's about 75 people. So it's actually a pretty similar size.
Starting point is 02:02:44 I think that everyone's going at a really high RPM. I mean, we like to have our team really lean and everyone has a lot of autonomy and almost no bloat anywhere. So I think it's, we're definitely underwater right now. and there's about 75 people total. Wow. So talk about the shape of the business. The, you know, you guys had a post going viral this week. Somebody was saying, you know, team talking about grinding.
Starting point is 02:03:12 You guys, the team's grinding because you guys are, you know, generating a billion, you know, there's billions of dollars flowing through the platform and only 75 people working on the team. But the criticism, the common criticism would be like, you know, WOP is, you know, a course platform. And obviously, like, some of these partnerships you're announcing, like, the bigger, broader vision, I think is certainly starting to crystallize for me. But talk about the shape of the business and really, like, where, where this is all going. Yeah. Well, I think it's really funny how many people get offended when these teams that are hard at work. I think it's, it's obviously, like, results are the most important. And I think that
Starting point is 02:03:56 is not really, the intention is nothing about trying to rage for anybody or even to seek a necessary attention. I don't even think Cameron expected that to go that viral. But I think at the end of the day, I mean, when our team is excited about something, people are going to be working hard. And given the nature of our team, we have a lot of former founders, a lot of former entrepreneurs that are really driving huge parts of our business forward. And I think that the common, people know WOP for so many different things, right? We started in sneaker box and then that naturally progressed into more, a broader variety of different desktop software.
Starting point is 02:04:33 And then people are like, hey, can we sell chats with the software? We're like, yeah, that sounds like a good idea. Let's make sure you can do that? And then people are like, hey, can we drop the software entirely and just sell chats? And we're like, that sounds pretty cool. Paid chats, let's do it. And then people start to do that. And then they're like, can we also add long form video?
Starting point is 02:04:51 And that made sense. People used to make the long form video. It's a way to explain how to use the software. And pretty quickly, people are like, wait, we don't even need to sell software or chats. We can just sell long-form video, and that's where the course is. And I don't think that we ever set out to be a course platform at all. We really focus hard on the primitives that are necessary for the future of work and for the future of commerce generally.
Starting point is 02:05:14 And I think that one of the lowest lift ways to start a business is making a course. And I think that when you look at our business today, I mean, I think we probably do more than a business. billion dollars a year in paid groups and educational programs. We probably do almost a billion dollars in agency services that are sold on the platform. We'll do maybe do $300,400 million of pure software sales. And on the emerging side, I think we even have more than $50,000 of physical product sales each year now. So I think that when you go to our homepage, we do a pretty poor job showcasing a lot of the supply. That's not been a huge priority of ours today. very focused on our infrastructure for the sellers and for the platforms now that are
Starting point is 02:06:00 integrating with our product. So I think that the core sellers are generally the loudest because they're very good marketers. And they typically found out. I think a lot of the other stuff in the platform people know well for clipping and things like that, which are also really awesome ways to make money. But yeah, the core stuff is funny. Totally. What's going on on the actual infrastructure side? You guys used to work. with Stripe on the back end, you killed that part, you moved on from that partnership at some point. How are you guys processing payments today on all these different verticals? And I'm assuming that's like a core part of the offering for these individuals, businesses
Starting point is 02:06:46 that are coming onto the platform and you're giving them a variety of ways to monetize. Yeah. So you can kind of think about the core value prop to be payment. and distribution, all out of the box. And I think that we never really set out to be a payments platform. I think that's pretty boring, and I think there's a lot more that we can do. I'd say that today money is much more commoditized than it was 10 years ago, and especially on the payments front, we don't think that that's a real long-term way to create value. And I think that when we look at our ecosystem as a whole, the mentality is like, how can we bring all these parts of the internet together in a way that makes it really easy for retail and for
Starting point is 02:07:25 general consumers to actually get what they need to start a business. When people think of payments today, they really only generally know strike. And after that, it's a huge falloff. No one really can generally name even another company that's similar to strike. You may have Shopify in the picture, but they're very, very focused on physical and larger shops now. So for us, it's really, really important that everything is extremely tightly integrated. And when you're asking about infrastructure, the way that we look at it is we have people who are about $200 million a month on the platform today. So part of our infrastructure is dedicated to thinking about how can we get more
Starting point is 02:08:03 functionality delivered to those merchants so they can do a lot more with their money. Today, just for reference, the process is almost universal across every merchant. They'll make money, and then they'll withdraw to their bank, and then they'll go invest on meta and TikTok ads or whichever ads platform of their choice, and then they'll invest in crypto. And I think that it's really exciting right now on the infrastructure side because we're about to let merchants do a lot more with their money. So you can imagine you make money, go invest it into ads. You go invest it into crypto. You go place, invests on polymarket. You go and do a lot more with your money. So we're doing a lot to bring a lot of our activity on
Starting point is 02:08:44 chain and to tap into the broader financial application layer that exists today. So that's one part of our infrastructure side. And the other part of our infrastructure side is on the advertising front, I think it's distribution is critical. And we've recently partnered up with a number of different, for example, games on Discord or publishers writing blogs that will actually render products that are listed on WAP. And that means that anybody selling on our platform gets to take advantage of pretty immediate distribution. So those are the things I think I'm pretty excited about the infrastructure side. The move away from Stripe, I think, I mean, I've been building on Stripe since I was 12 years old, and I love Stripe so much.
Starting point is 02:09:27 And I think that we're still a partner with Stripe and we still use Stripe. And I have nothing but great things to say about Stripe. I think that when we're looking at our mission, which is to deliver everyone in sustainable income, there's certain primitives that need to be available. And those are simply not available on Stripe. So, I mean, getting paid out in Venmo, getting paid out in crypto and other marching markets throughout Africa is very, very important. to our mission. Interesting. So talk more about the partnership with micro 1 that you guys announced today.
Starting point is 02:09:58 That is, I'm curious, like, maybe break down Micro 1 in their business for people that aren't familiar and then how you guys are integrating. Yeah. So Micro 1 is a really cool business. They basically partner with AI Labs to offer general public access to pre-recorded videos. and situations that the general public can weigh in on and say, what would they interpret the most likely solution to any set of visual problems to be? And the AI labs will use that as fuel for their training data.
Starting point is 02:10:36 And Micro One is essentially aggregating all those opportunities and delivering payouts at scale to the general public that's paid for by the AI labs. So when we're thinking about WOP and what the partnership means to us, there are so many ways that people can earn income on the Internet today, and it's only going to get crazier and crazier. So we've invested a lot over the last few months in our public SDK and our developer infrastructure so that platforms can tap into our network. And that's exactly what micro 1 is doing.
Starting point is 02:11:08 That's pretty interesting. Did you think about getting into data labeling earlier and in a direct way? like or yeah I mean did you ever think about like just offering data labeling tasks to the current community of people on WAP because didn't Dordash like launch the or Uber was going to launch like the ability to do data labeling tasks while you wait for your next thing or something like anyone with a pool of huge human capital is looking at this right now right yeah I mean like how do you think about the different eras even it felt like 2010s where if you had a cell phone you could make money in the real world,
Starting point is 02:11:47 and now it's kind of the continuation of that is like if you have an internet connection, you guys are trying to just enable somebody to open an app and make, maybe they're not going to immediately make some incredible income, but it's a most of the apps you open them, they suck your attention and money and all that. You guys are trying to have an app that you can open
Starting point is 02:12:08 and have the opposite effect. Yeah, I think I grew up on Facebook all day, every day in Skype. And I think that there's two ways you could have gone on the social media platforms. You could have maybe sat there and just read, watched videos and what the kids call brain raw today. I think the other way is to try to get as much productivity and value out of the network as you can, meeting people and maybe finding customers and whatnot. And for me and the people that I met early on on the Internet, we focused on the latter.
Starting point is 02:12:40 And I think that the goal of WOP is to bring together all of the pieces of the internet that are super scattered right now and hopefully make it a place that's a lot more worth your time to spend. And I think that the money is one part of it. But I'd say it's also like the idea and dream of starting your own business is very much an aspiration to a lot of people. And we think that you open the app and you can start a business. You can find ways to make money by providing value to other peers on the network. You can meet people in chats. And it's a very much expansive application. I think it makes it difficult for people to understand what we do.
Starting point is 02:13:23 So with Micro One, you're just providing the payment back end. They're actually going to source the experts to do the data labeling. Is that right? And then they're also handling the relationship with whatever lab they're selling the data to? Yeah, so to answer your question, have we thought about going into that type of market? Yeah. I think for us, we really try to stay on what we're good at. And I think what we're good at is how we handle payouts, how we handle payouts,
Starting point is 02:13:49 how we handle what you can, what else you can do with your money as well as distribution. And we don't know anywhere near the amount of industry expertise that micro one is. And I think that that's why we wanted to partner with them. and we don't have any, we don't have, that's not our forte. So I don't think we really have thought much about going to that. I mean, we did the clipping stuff and the content reward stuff. And now, I mean, there's actually a lot of other platforms that are starting to implement our SDK as well on that front. Because again, like, we built that app in two days as a test case to show what you could do with the WAPE ecosystem.
Starting point is 02:14:26 And it obviously blew up. I think we still pay out millions of dollars a month to people all over the world that are clipping. but there's also other platforms now that are integrating that stack and are able to focus really, really hard on making sure that's an amazing product. Yeah, I feel like you sort of live in the future because you're so tapped into young entrepreneurship broadly and such a wide swath of individuals. Can you help me get up to speed on how the next generation is thinking about
Starting point is 02:14:53 sports betting and gambling? Because I feel like there was like the drop shipping wave, there's the course wave, the clipping wave. like, is sports betting in a, is it going through a boom right now? Because in tech, with the prediction markets, I think everyone's like starting to be a little bit more top of mind. But they might forget that, you know, we had the CEO of Draft Kings on the show yesterday.
Starting point is 02:15:17 And I think Google invested in that company in like 2017. And so it's not new, but it does seem like it's growing a little bit. But I'd love to know, like, how are you? Capital G invests, I think, in Flutter or Fanduel. Oh, that's right. Okay, sorry. Yeah. So, so, so, so, so, so, so, so, so, obviously, like, like, like, sports betting is not a new invention, uh, but it does feel like maybe it's going through a renaissance. How are you seeing, like, the, the, the trend within that industry, like, what, what are the trends that you'd even describe? Yeah, it's a good question. I mean, sports betting has been around since, like, Coliseum days. And yeah, before that. So I think that it's just, it's a really good way for people to be literally bought into what they're watching. And I think that what's happening now is, you know, and I think that what's happening now is, is you're seeing a lot of entertainment,
Starting point is 02:16:02 a lot of social, and a lot of integration between all of that on top of sports betting, which makes it a lot more fun. And I think when you imagine somebody to be watching a football game, betting alone, it's a lot less fun than betting with your friends. I think that when people think of sports betting and WOP, a lot of that notion is around the communities that are on the platform talking about sports betting
Starting point is 02:16:26 and participating in sports betting, but they're not really participating. They're not really betting on our platform. And I think that people very much love to bet, and I don't think that's going to change. I think that the types of bets will evolve. And I mean, I'd say that sports betting in the 2000s was probably more popular for retail than investing in stocks,
Starting point is 02:16:46 which is definitely changing now with Robin Hood and all of the other more retail-friendly application. So I think that people like to invest in things and to put their money where their mouth is, and I'd say that trend is going to continue on. we're seeing during the sports season. So right now, it's definitely pretty popular. Yeah, I mean, like, there has been a long history of folks doing financial education,
Starting point is 02:17:10 teaching you how to trade stocks. Trading Forex has been a big thing that there's been a lot of courses around. Are there courses around sports betting? Are they, like, roughly the same size business? Or is that, like, more niche because it's, like, more random? Yeah. Well, I think asking what kind of categories are. are on WOP, is kind of like asking what categorical content exists on social media or Twitter.
Starting point is 02:17:33 Sure. It's just everything. Emeril and it involves that maybe somebody will launch a sports betting community and they'll have a course to do it. But it's not necessarily the core part of the product that has somebody to talk to other users. Sure, sure, sure. Yeah. I'm just, I'm fascinating because I feel like a lot of tech people are like, oh, there's like this crazy breakout moment. And I think a lot of people, if you zoom out, they see it as much more of like a smooth curve that's been happening for decades. How much do you and the team try to predict these sort of like future trends? Like what is the next sort of trend like clipping?
Starting point is 02:18:13 Is it more like reactionary to the current moment and saying like let's build the best possible infrastructure for what's happening today? Or are you trying to looking in corners of the internet? you know, maybe some subreddit that's gaining popularity or things like that to try to predict these things and actually be ahead of them? I think that we lean on our existing customers a lot to build around them and to make sure that if they're onto something early, that our platform can support what they want to do. I'd say that every shift in what the predominant form of way to start a business and way to
Starting point is 02:18:51 your income on our platform has been trail-based by a few subset of merchants. and then we've quickly built the product to better support that. So I actually don't think it's worth time to try to predict it because it's getting really crazy. I don't think we're very tapped into what the people are doing, I think, in the trenches across the internet, but it's very, very, very hard to predict and rather really focus on the primitives that we know are going to be true throughout all these different trends. That makes a lot of sense.
Starting point is 02:19:20 What are you most excited for next year? Yeah, I think Wob is very under-end. invested in AI right now. And I think that we're, that's not a change. And the platform is very complicated still. There's a lot of components we've created. We're a very engineering heavy, heavy team that's created a lot of infrastructure. But I think that we're now flattening a lot of that, simplifying a lot of it, and riddling AI throughout the entire platform. So I think that's going to be pretty crazy. And that's probably what I'm what I'm most excited about for next year, is just making sure that you guys are actually on the app, starting businesses, and find it worth
Starting point is 02:19:54 your time to do so. So that's what I'd say. Amazing. Well, thank you so much for taking the time to come chat with us today. Great to get the update and congrats to the whole team on a wild year. I remember we have a mutual friend, won't name him, because he's anonymous, but I think he told us at the end, he told us at the end of last year, Q4 of last year, the company that he was most.
Starting point is 02:20:22 And this is like an institutional investor. He was like, the company I'm most bullish on that is most under the radar, most underhyped is WAP. And you guys have certainly delivered this year. So, well done. Really good. Long way to go. Fantastic. Jobs not finished. Love to hear it. Cheers.
Starting point is 02:20:39 We'll talk to you soon. Have a good one. Let me tell you about profound. Get your brand mentioned in chat, GBT. Reach millions of consumers who use AI to discover new products and brands. Gavin Baker says, deeply amused by all the. confident commentary that data centers in space do not work from a physics or engineering perspective. Elon operates two of the largest coherent GPU clusters in the world. SpaceX is responsible for
Starting point is 02:21:06 over 90% of mass to orbit and SpaceX operates the largest satellite constellation in the solar system. More than 10 years later, no other company or country can consistently land and reuse orbital rockets. He publicly states that the lowest cost way to do AI compute will be with solar-powered satellites. Maybe, just maybe, his pencil and paper analysis of the physics or the economics at play is superior to yours. There might have even been more than just a pencil and paper analysis of the subject done by some of the best engineers in the world. Perhaps they have thought of a cooling solution that has not occurred to the galaxy brain accounts here, even after they took several minutes to carefully think about the problem.
Starting point is 02:21:48 The CEO of Google also agrees that data centers in space will be normal with within a decade. If you're not currently operating a large AI data center, a large satellite cluster and have not landed a rocket, that takes most of the accounts on X, maybe a little less quick
Starting point is 02:22:05 to confidently assume that Elon and Google are both wrong on this topic, especially when they're working, albeit very small data center in space today, Star Cloud's orbital setup just successfully trained in LLM. Great name, by the way.
Starting point is 02:22:18 Yes, I'm biased on these topics, and as ever, time will tell. uh yeah i think um i think a lot of the reaction was just like hey like three to four years feels super aggressive yeah but at the same time i don't know i was trying to put it in in in like where where would i uh how would i quantify my position and i would probably say like there will be under one gigawatt of capacity in space by the end of 2027 and by the end of 2027 i expect to several gigawatts of like AI data centers online and terrestrial base, but maybe that's, maybe that's not even what Gavin's saying. Maybe Gavin's is, is targeting something more
Starting point is 02:23:04 like 2029, maybe 2030, something like that. But, but if you were to, if you were to try and say, you know, like there will be a significant amount of compute, like, you know, 10% of overall compute or something like that, in space, in, you know, a year or two, that feels maybe more aggressive. But, you know, in 20 years, I don't think anyone disagrees with that. In two years, I think everyone agrees it's not there. So it really feels like we're talking about, you know, timelines here more than if. It's more when.
Starting point is 02:23:38 But I'm not sure. I don't know. Elon responded and said, fools are determined to be fools, trying to stop them from being so is futile. Hey, optimists get rich. Pessimists sound smart. I'm easy to be pessimistic on this. Should we pull up this clip? I am optimistic about Julius AI, the AI data analyst that works for you.
Starting point is 02:23:58 Join millions who use Julius to connect their data and ask questions and get insights in seconds. I'd love to pull up a clip. Let's pull up this clip from C of Netflix. We go from 8% of view hours today in the United States to 9%. So we're still behind YouTube at 13%. And potentially worth noting that we would be behind what would be if Paramount combined with WBD, them at 14%. So we think that there's a really strong fundamentals-based case here for why regulators should approve this deal. We go from 8% of view hours today in the United States.
Starting point is 02:24:34 So, yeah, view hours, is that, is that like a good metric? There's something, he's definitely including YouTube in there and using view hours. At the same time, I think that's valuable. I don't no. It's hard to kind of grapple with. As a consumer, it doesn't seem like it's oh no, all of a sudden there's only one place to get content. Like that's not what people are the most worried about.
Starting point is 02:25:02 They're maybe worried about a one buyer scenario for the movies that they make. Anyway, you can always just make a movie and put it on Restream. One live stream 30 plus destinations. If you want multi-stream, go to re-stream.com. Restream. There's a post here from Julian.
Starting point is 02:25:18 He says, if you thought paying for your kids college tuition was nice. Larry Ellison is writing a $40 billion check for his son to acquire a movie studio and a television network. That my friends is father of the year. Totally agree. We should all aspire to one day write a $40 billion check for our children. One hundred percent. Each of them actually. I can't. I can't. It's hard to think of a better use of what, 20 percent of the net worth than picking up a movie studio. doing a deal with your son. It seems fun. It seems like Larry is definitely in the conversation. He's at the dinner. You know, he's hanging out. He's, he's part of this, even though David's obviously
Starting point is 02:26:00 driving the story. Larry, Larry's very much there right in the show, but also participating. Joe commenting on. We already talked about that on the show. Yeah. Let's skip ahead. Let's go to this data on a quiet year for venture capital. Bryce Roberts posted it. Looks like it's from the information, but the source is pitch book. So there's a couple things going on here. But Uh, terrible, terrible. I thought we were so back. I, with the AI boom, I am shocked by this data. Are you shocked by this data?
Starting point is 02:26:30 I'm shocked. It certainly hasn't felt like that. I thought it was going to be higher than ever. It feels like there's so many new funds. There's so many new massive funding rounds. But are we still working through the 2022 glut of capital or something? Like, what's going on? Yeah, I mean, sentiment was that AI saved.
Starting point is 02:26:50 Venture. Private markets, venture capital. Yes. Because it was a, we were on a crazy sugar high in 2021. And we've had so many folks come on the show that just yesterday is a, yeah, I raised $500 million seat. It's like, that's got to come from somewhere, but apparently only $50 billion flowed into venture in 2025. Well, yeah. So these funds are deploying capital. Some of them might still be deploying. Hopefully there's still some, not all of, obviously, the funds that were raised in 2022, it's not like they just were like, I'm going to deploy this all this year. It's like it trickles out.
Starting point is 02:27:24 The other thing, the reason that this is surprising is that some of these big headline deals that the industry has been focused on this year are sovereigns going to rack, they're hyperscalers making these big equity investments in labs. And so that kind of, yeah, that's kind of, you know, NVIDIA. I think we've had a couple guests today say Navidia. So throwing me off. But anyways, it certainly doesn't feel like this. The question then is, I mean, you're also just seeing way less venture funds being formed.
Starting point is 02:28:08 Maybe that's healthy, right? So Katie Roof, who broke the story, says venture fundraising is the worst it's been in at least a decade. And I don't mean for startups, which are seeing an AI boom bubble, the firms themselves are often struggling. We are seeing the lowest number of venture funds raised in at least 10 years. I'm fascinated by this. I wonder if we're going to see venture funds close down, or is this just a function of the everyone gets a fund phenomenon, sort of pulling back? because maybe it's really that 2021, 2022 were just complete deviations from the norm because, I mean, it really was a time when everyone got a fun. It was crazy.
Starting point is 02:28:53 Anyway, let me tell you about linear. Meet the system for modern software development. Linear streamlines work across the entire development cycle from roadmap to release. We also have a venture capitalist joining the show. Some can break it down for us. and I'd love to know his thoughts on this bombshell report from the station that says you're cooked. You're cooked. You're cooked. It says, you know, if you're in venture pivot to, you know, toiletry. Not that toiletry. Beating an electrician. Become an electrician because it's all over. Do you think it's over? Do you think venture capital, the game's over?
Starting point is 02:29:31 Guys, the game is, it's never been better. I think we, we, uh, let's go. Thanks for having me on. venture capitalist it's never been better put the headline up i love it raylock turned 60 years old this year so this firm started investing before the internet the original partners would find companies how many years old 60 60 60 60 60 60 yes what that's so old i had no idea i thought it was like 10 years old that's crazy no congratulations we're the oldest firm in the u.s overnight success i love it yeah overnight success And we're in our 17th fund. And I would tell you, the company quality we see right now, we've never seen anything like it.
Starting point is 02:30:13 I mean, of course, there's a lot of things that are crazy going on. But if you just look at the overall secularity of what's happening, I really think the game's never been better. Yeah. But you're in a unique position. You have a name brand. Is it not a crazy? Does it not seem insane that we raised, there was more money raised in 21, 22. 2018.
Starting point is 02:30:36 Yeah. So help me understand. Because Great Lock is in a great position. It's a great brand. It's a name that everyone knows. Been around for 60 years. It's crazy. You can get into the companies that are doing really well.
Starting point is 02:30:48 If we are witnessing, like, you know, more monopolistic markets, more winner take-all, bets, more, okay, the champion's being crowned in this category, everyone's just going to get in. You're going to be one of the funds to get in. A lot of people are not going to get in. Do you think that's what's driving the lower amount of new funds that are. being raised? Is that what's going on? How are you interpreting the fact that the number of funds seems to be going down year over year for the past four years? I think we had, and you guys
Starting point is 02:31:18 were talking a little bit about this, but there was almost this one-time anomaly in the market structure in the 21 period where you saw like an explosion of new funds. And on the one hand, it was like super exciting, all these solo GPs, new funds, new guard, etc. And then I think like once you hit an air pocket and you realize like life is not just straight and up to the right, but these cycles have ups and downs. And even the best companies have ups and downs. I mean, I think about the companies we've been a part of from when they got started. The most recent success case being Figma, like it took Figma several years to get the product right and start accelerating sales. And they became one of the fastest growing companies of all time.
Starting point is 02:31:52 Entrepreneurs want firms that are in this for the very, very long run. And so what you're going to see is a re-concentration to a small set of firms that are like venture capital is 100% of what they do. They don't have any other jobs. It's not a side gig. And, those firms are going to raise more capital and be stronger partners to the best companies. It wouldn't surprise me if like the net number of firms goes down because most firms don't perform. But, but I think if you think about it on an aggregate basis and like what lies ahead for venture, it's, there's good reason to be extremely optimistic. Let's talk about SPVs because I think that might be a piece of what's going on here.
Starting point is 02:32:28 Do you, does Greylock historically have a policy around when to pull the SPV off the shelf? I know some firms, they never use them. They never have in their history. Other firms, you know, yeah, they use them as much as they want. Yeah, other firms, they're not even that special. They're not, yeah, every day. I just call them purpose vehicles. I don't call them special purpose vehicles, just regular purpose vehicles. TV.
Starting point is 02:32:47 Just internally, walk me through Greylock's thesis on SPVs. Our business model is very simple, which is we want to partner with a small set of founders and be their most meaningful partner. We keep everything else really simple. We have a single fund. It's a billion-dollar vehicle. We've raised billion-dollar vehicles consistently over the last, 15 to 20 years. That billion dollars goes into a really concentrated set of core position,
Starting point is 02:33:12 something like 25 companies. And then if we do our job right and we partner with the right teams, some subset of those go on to become iconic public businesses. And the founders do really well. Our investors do well. We do well. We're not trying to like optimize at the margin and spin up an SBB here and spin up an SBV there. We think it like takes the eye off the ball. Like the only thing that really matters is leading that first or second round in the great companies. Okay, love that. Do you think that the fact that there are other firms spinning up a lot of SPVs for bigger and bigger deals could be just, I'm trying to resolve the cognitive dissonance of like, I'm looking at a chart going down, down, down in terms of money. And then every day I'm hearing bigger and bigger numbers around the AI boom and the AI bubble potentially. And it just feels like maybe some of the dollars that are flowing into just tech and growth investments and high growth companies is maybe not being captured by traditional venture capital firms, it might be sitting outside of the normal system. Do you think that's possible? Yeah. I think it is. So maybe two-part answers. One is power laws always dictate a
Starting point is 02:34:14 technology and venture. AI makes the power law more extreme. So we'll, as we're saying, there's going to be a smaller set of companies, but also a smaller set of firms and capital pools that are involved with those companies and supporting those companies. And they will become larger than ever before. And I just saw the news about the most recent SpaceX tender. It's just the latest example of that. But then the second is, you're right, like a lot of the capital, especially at the very late stages, may not look like traditional venture. I mean, a lot of it is actually corporate capital. If you look at the role that just in video, just in video alone plays in AI financings, that's a big portion of dollars. SPVs are for sure a piece. Other capital pools that we wouldn't view as traditional venture
Starting point is 02:34:52 capital firms, crossovers. Private credit, debt. I mean, there are, there are companies where they're hard tech and they'll see, you'll see a big headline number, 100 million, 200 million raised. And actually, 80% of that's debt because, yeah, they're going to be buying a building and you don't want to pay for that in equity. And so, yeah, that's another maybe distortion to the financing. Yeah. And as a founder, like, you want to pick the most capitally optimal way to finance the business at any junction in time. It's not always going to be traditional venture capital. If there's a debt provider or strategic capital provider who doesn't think about ROI on the capital the same way a traditional venture investor would, like that could be a lot more attractive
Starting point is 02:35:27 for you at a certain point in the company's life. So I think it's probably overall healthy for the ecosystem and honestly great for founders. But that could explain what you're seeing in the report that you're referencing. Talk to me about Greylock Edge. How, like, what's the pitch to founders? There's so many different ways to start a new business. I'm interested in how you carved out a unique product there. So one thing I love about Greylock is our history is defined by helping founders get started from scratch in our offices. Sure. If you rewind the clock 20 years, There are two companies that got started at adjacent desks in our San Mateo office. One is a company called Palo Alto Networks, which is a ballpark $150 billion cyber company today.
Starting point is 02:36:06 And the second is a company called Work Day. And since then we've started other, we helped start. Sorry. I'm going to be celebrating. Yeah, keep them going to go. They got two banger companies. Let's go. Do you still have those desks?
Starting point is 02:36:26 Like, do you keep them in like a glass box and pull them out, pull them out? We have a variety of good luck charms from that office. I don't think we've now elevated to the modern standing desks, which I don't think were used back then. But, and then I'd say since 2005, we've had another eight or nine companies get started that way, including, you know, abnormal, which is late stage prime and other. So with Greylock Edge, we took all of that and we said, hey, let's go take that to the market so entrepreneurs understand when they get started.
Starting point is 02:36:54 they can work with us before there's an idea, and we will work with them to help identify the right idea. We have nine senior recruiters on our team. They place an engineer at a portfolio company every other day, so we'll help build out their initial engineering team. And then we have a large customer development arm that sources, like, somewhere between 40 to 70% of the first two years of pipeline. So kind of the way I look at is we're an Iron Man suit.
Starting point is 02:37:14 You plug into the Iron Man suit. We accelerate you out of the gate. And then once you're on your own, you kind of get rid of the Iron Man suit. Do you think it's particularly good for B2B enterprise companies. I mean, that sounds like where, because if I'm like, yeah, I'm starting a, I'm starting a, like a consumer company for, you know, Midwestern moms or something, I'm going to be like, how are you going to help me go to market necessarily? Exactly. I'd say our focus is horizontal enterprise software. Okay. And what I mean by that is, by the way,
Starting point is 02:37:45 like there's 20,000, 21,000 companies in the world that do north of a billion a year in revenue. Cool. They control, like, most of IT spend in the world. So very simplistically, you're an enterprise software entrepreneur, and you can build something that can sell to those 20,000. You can build not just a public company, but a company of the scale of what I just spoke about. And for those, we have an understanding and the ability to accelerate. It's not going to apply to everything. But for that shape of company, it's very, very successful. That's amazing.
Starting point is 02:38:10 Cool. Jordy, anything else? This is a great. Yeah. Do you guys have any kind of thesis around what's been happening to SaaS in public markets? I was listening to the new Invest Like the Best episode yesterday with, sorry, I'm blanking on his name. He's talked about space data centers. Gavin.
Starting point is 02:38:33 Gavin. Gavin Baker. Sorry. Gavin Baker was on and talking about how he thinks like there's a lot of these enterprise SaaS companies that are not really willing to kind of like cut into their margins and lean heavily enough into AI. like what's your guys as like general clearly you're bullish on the enterprise like for these companies that are getting off the ground and then maybe even late stage companies like what is your general framework for how to think about how SaaS is evolving I think in order to see a new
Starting point is 02:39:08 rise in software you need three things to be true you did a new pricing model you need a new underlying software interface and you need a new data model last time that happened was in 2005 with cloud and the rise of those companies. That's happening again now. And in our view, it creates the first opportunity. By the way, investors have been looking for this for a long time. Like eight years ago is mobile. And people like mobile CRM, mobile HR software, but that was just a new interface. It wasn't fundamentally disruptive. I think the confluence now with sort of this agentic era is fundamentally disruptive. And we are going to see, like let's say late stage in public software companies at threat from new startups that come in with an outcome-oriented model
Starting point is 02:39:47 in agentic-based interface and operating directly on the unstructured raw data versus a structured schema. And it's very disruptive, right? And like, you know, for example, we're investors in a company called Resolve AI, which automate software operations on top of observability tools. But now when you have agents doing all that work instead of users and humans, you have to ask yourself, okay, well, if I'm a large public SASCO in that space, all of a sudden I've been disintermediated from my end user. What does that really mean for my long-term durability? And so we take like a very constructive view on it, which is really good for new startups and new companies. I think Gavin was making the comment that these late stage and also public companies,
Starting point is 02:40:24 they're in a bit of a stock between a rock and a hard place because they worry about short-term margins. In order to really lean into AI, you have to be willing to take down your margins with the belief that over time you're going to drive value and margins will come back up as the unit cost drops. A lot of companies are not willing to make that long-term investment, and in that dilemma creates the opportunity for startups. Makes a lot of sense. Well, thank you. Thank you for joining. great to meet you and we'll be back on soon.
Starting point is 02:40:50 Thanks for having me guys. We'll talk to you soon. Have a good day. And Merry Christmas. Merry Christmas. Gemini 3 Pro. Google's most intelligent model yet at state of the art reasoning.
Starting point is 02:41:02 Next level vibe coding and deep multimodal understanding. We have our next guest in the Restream waiting room. Nicholas Kellis from X-Light, who's the CEO and the CTO, pulling double duty. Some people work 9-96.
Starting point is 02:41:19 What's going on? Two jobs at the same company. Is that right? That is correct. Somebody's got to do it. What does your day look like? What do you do? What are you building?
Starting point is 02:41:29 But also, walk me through the life of a CEO and a CTO all in the same one body. All right. So a lot to unpack there. Please. So I'll first start with what we're building. Yes. In order to do that, let me start with some context. So I think it's valuable to step back and, you know, first recognize that semiconductors are an essential part of modern society.
Starting point is 02:41:54 They're critical to our economic and national infrastructure, you know, in terms of AI, you know, HPC, data, quantum. And they span all the way to, you know, virtually everything that's under the Christmas tree this year is going to have semiconductors integrated. So they truly are, you know, probably our most, you know, important commodity to this nation. And so what X-I is doing is we're building the world's most powerful. powerful lasers to transform the manufacturing of those semiconductors. So we make them better, we make them faster, we make them cheaper, and we make them require less energy to produce. So that's what we're doing in X-Light.
Starting point is 02:42:29 As far as my role, it's like I think anybody in a startup, it is wearing a bunch of hats. I actually get credit for a couple hats, but most people don't. So, yeah, we've been focused on building out the technology. I'm now, of course, with this LOI, which we're getting a lot of, you know, an out press around that's really ramping up our efforts to build our prototype and advance to our first commercial products. How did you meet Pat Galsinger? We had him on the show a couple months ago, a couple weeks ago, and it was amazing, a huge fan, but I would love to know about your relationship and how it's developed.
Starting point is 02:43:06 Yeah, so met Pat through X-Light. So he was, you know, I'm sure as he described to you, outlooking trying to figure out what is his next thing was going to be exploring the world of venture capital, happened to come to playground, but it was already aware of X-Light and what we're doing with light and its applications lithography. That is something that is near and dear to Pat. Pat is a technical person at heart. He believes very strongly and the need for this type of, you know, capability to drive the innovation that's going to bring, you know, leading edge semiconductor manufacturing back to the U.S. So he kind of sought us out to some extent. And then from there, it just became,
Starting point is 02:43:43 became, you know, an incredible relationship. Pat has had a profound impact on the company from, you know, just adding that kind of gravitas and cachet and recognition of what we're doing through to being, you know, he's taken on the undesirable role of trying to make me a better CEO. So he's done, and he does everything in between. So I am eternally grateful to him and I can't give them a high enough regard. And can you take me through the U.S. Department of Commerce announcement, the deal? And I mean, I want to know how the deal came together, but how I should think about it from the perspective of,
Starting point is 02:44:23 is it more of like a venture capital style investment or like a contract to deliver specific things? Walk me through exactly what your relationship with the Department of Commerce will be over the next few years. Sure. And hopefully it extends beyond a few years. First and foremost, I want to recognize that this administration really did approach this with an incredible urgency and creativity. And I'll just kind of give a sidelight that I really believe that it has to be an essential part of our industrial policy going forward.
Starting point is 02:44:55 We cannot continue to believe that the status quo is going to keep us competitive. So I'm really grateful for that. But I have to emphasize that that urgency and that ability to move quickly was premised. on lots of incredibly, you know, diligent work that has done by the Department of Commerce. We've been engaged with them for over two years. So there's over two years of tech diligence, of commercial diligence, of financial diligence, that they were able to leverage. So they moved quickly.
Starting point is 02:45:25 They have a sense of urgency. They're acting creatively. But it's really rationally founded. So what is getting to the first commercial product look like, you know, more tangibly? So it definitely goes through our prototype. So one of the key things that X-Light is doing is we're leveraging very mature technologies that have been developed in the national labs over decades. And so we take these mature technologies that have been, you know, operating in light sources for science,
Starting point is 02:45:55 and we're commercializing them for semiconductor manufacturing. So we have the advantage of their mature and proven. We've, you know, taken the opportunity to apply some unique IP and how we bring that system together and how we apply it for semiconductor manufacturing. And so we're now in the process of building our first prototype. And this is not a proof of concept prototype. This is a basically kind of, for lack of a better term, a show me the money prototype. The semiconductor industry wants to see that, you know, you connect this to a scanner,
Starting point is 02:46:24 you expose wafers, it works as it should. So that's the starting point. And then, you know, along that path, we're continuing to work very closely with our customers. Our customers are the fabs. and building that, you know, value proposition so that, you know, as soon as we have that first prototype done, we're already going to be building our first commercial system. Yeah. How much of your business is like capital intensive, actually just, you know, dollars out the door,
Starting point is 02:46:51 facilities, equipment versus human capital intensive? Like, over the next few years, how do you expect to balance the different costs in the business? Yeah. So it's a, you have to be kind of calibrated when you talk about capital. So I came from quantum computing before this and spent a long time building these types of facilities. So compared to quantum fusion, it's not capital intensive. But compared to, you know, SaaS or something like that, it's very capital intensive. So it's, you know, to build the facilities in the, you know, a few hundreds of millions of dollars.
Starting point is 02:47:24 And just, you know, kind of getting back to my previous response, because we're leveraging mature technologies, it's, you know, we are able to, you know, kind of stand on the shoulders of a lot of work that's already been done. So from a personnel perspective, we're quite lean. But from, you know, a capital expenditure, it's all going in, you know, for the most part, into hardware and to infrastructure to build these facilities out. Yeah. That is amazing. Congratulations. I want to ring the gong. We have to.
Starting point is 02:47:53 Congratulations. Very, very cool. Yeah, congrats again to the whole team on the grant. And, yeah, we're excited to follow the journey. And we will talk to you soon. Keep us in the loop. Have a good rest of your day. Good morning.
Starting point is 02:48:08 You too. Thanks. Let me tell you about getbezl.com. Shop over 26,500 luxury watches, fully authenticated in-house by Bezell's team of experts. Our next guest is the CEO of DuPont Registry Group. I believe he's in the restream waiting room now. We will bring him into the TV pit ultram.
Starting point is 02:48:28 Welcome back, back in the garage. Thank you so much for joining the show. Okay, how are you? Great to have you back. Fantastic. What are you in front? of today? It's a 575M from Ferrari. Very nice. A little roof scoop on there. I love that. What else is new in your world? Give us the latest update. What news is going on in your world? So the big news that
Starting point is 02:48:51 we've been working on for a while is that we launched DuPont Registry Live, which is the DuPont Registry online auction platform, a completely different value proposition. We are the only online auction platform offering a 100% sell-through. So if you come and you want to sell your car with us, we guarantee that the car will sell at the price that you decide. And the second thing is that for the buyers, we are giving 14-day return policy. So it removes buyers' remorse. You can buy that car.
Starting point is 02:49:20 You can drive it. You can return it. We'll take it back. That's crazy. Is that extremely capital intensive? Do you have to raise a bunch of money to make sure that you're guaranteeing liquidity? Yeah, we did waste capital. We have a bank partner at the moment.
Starting point is 02:49:33 We raise $34 million in working capital. We're working on an extending that line by the end of the year. And it allows us to acquire the cars. Most of the cars today are own inventory, but we believe that a lot of dealers are going to sign up as well as private fellow. So, I mean, I imagine that there has to be a rigorous vetting process on the way in in that case, right? You can't just take any old Nissan Morano cross cabriolet and throw it on the site.
Starting point is 02:50:01 There's a bar. How do you think about setting that bar for what can make it on to the DuPont Registry? Yeah, so we do have a big location in Nashville. We're actually moving into the location next week. It's a bigger location, 65,000 square foot. So we take ownership of the car. We're going to ship the car to that locations. We're going to do an inspection that will bring the DuPont Registry certification to the car.
Starting point is 02:50:25 And then we are taking nice picture of the car and we're pushing it online. And then we make sure that our... Have you guys been specifically acquiring inventory in order to launch the platform, or were you historically holding inventory? Because I always have leveraged the platform just as a buyer or an enthusiast to just browse cars and know that you guys are sourcing from a ton of different dealerships. Yeah, we're sourcing from our dealership partners. We're sourcing from private sellers. This has been going on for the past 18 months. We're now transacting close to 1,000 cars every month.
Starting point is 02:51:03 And part of those now cars is a new-only channel strategy to be able to sell those cars to the potential buyers. We do have dealers today on our platform that are bidding for cars. We do have clients as well. This is the power of the DuPont Registry Group ecosystem. What's the most underrated car on DuPont Registry today? Right now, the only one that I would bid on for me personally. I have my eyes on that Targa sing by singer.
Starting point is 02:51:31 That's the one. It's a beautiful car. It's olive green. It's Targa. It's just amazing. Yeah. Yeah, it looks remarkable. It's stunning.
Starting point is 02:51:40 What are you, like, how is the, I can understand, you know, having the guarantees, having that return policy, having the certification, that all makes a lot of sense. It's nicely counterpositioned against other auction platforms. both new and old that are kind of relying on, you know, kind of winging it. But what are, am I missing anything around like the other ways in which the platform is opinionated or differentiated? No, it's exactly that those are the two main differentiator. This is our secret ingredients.
Starting point is 02:52:17 This is how we are differentiating from platforms that are also doing online auction. It's very disruptive. A lot of people are asking us, how do you do it? This is our secret source. We have the platform and we have the ecosystem to making us able to do this kind of things. Yeah. Yeah, I mean, it's a great, great value prop. It makes it in a sense.
Starting point is 02:52:40 What are you most excited about for 2026 in the industry broadly? How did you react to some of the regulatory changes here in the U.S.? Are you expecting to be selling a bunch of mini-Toyota trucks on there? I don't know if those will meet the bar, but yeah, what's most exciting to you broadly? Yeah, for me, the most exciting things, there is a report coming on Friday. It's a report done by Boston Consulting Group, and they used our data and our audience to run the report. It's estimating the luxury car market in the U.S. to be $110 billion, and it's a market that in the next 10 year is going to double. We actually see that in the transaction we run now.
Starting point is 02:53:23 there is a lot of potential, all the tariffs, et cetera, are actually fueling the luxury-use car market at the moment. There is a lot of demand for those cars. And our buyers are really, really looking to have convenience to be able to transact online. And this is what we're building. Over the next 18 months, you will see a massive technology transformation in DuPont-Badistry Group. And we will start enabling transactions online with the capacity for any buyer, to buy the car from your phone, get it delivered. Love it.
Starting point is 02:53:57 Question from the chat. How are you thinking about Chinese electric vehicles? We've talked about BYD on the show in Xiaomi. Do you think that there's promise there, opportunity there? Do you understand how your business might integrate with them because they're not being sold in the US yet, but do you have any predictions for where that market might go? I mean, electric cars, some of them are amazing electric cars,
Starting point is 02:54:24 and we've seen one of them beat the world record for the fastest cars on the road. To me, 30 years from now, everyone is in a robot taxi, no one is driving for their day-to-day daily driver, and they're going to drive on weekends to have fun. Would you drive Chinese electric car, or would you drive a micro-duty Ferrari? Right? So our business, the business we're in, I think we're fine. You think we're fine. I love it.
Starting point is 02:54:52 Do you think there'll actually be a resurgence in kind of like track and racing culture? I know there's some change of, I don't know if this is public, but there's a real estate developer that's currently buying a racetrack here in California. I think there could be some renewed. And if people no longer have to drive on their commute, I think there will be more excitement around track days and things like that. But does that align? Of course, it's completely aligned with our strategy.
Starting point is 02:55:28 We have a lot of experiences today where we get people on the road, where we are making sure that they can drive their cars in a very safe condition, but in the best condition. It includes track days. It includes rallies in the best places around the world. And I do believe that there will be more and more of that in the future. Yeah. Maybe that's the next filter that you ask.
Starting point is 02:55:49 I'm looking at DuPont Registry and I see, you know, you can filter by price, mileage, year, you know, transmission, drive train, track only. You've got to give us a track only a filter. But hopefully soon, the product's continually iterating. But thank you so much for taking the time to come chat with us. Yeah, great to get the update. Congrats on all the progress. Always a great time. Excited to start bidding myself.
Starting point is 02:56:15 We'll talk to you soon. Great to see you. Thank you, everyone. Have a good one. Goodbye. Let me tell you about 8th sleep.com. Exceptional sleep, without exception. Fall asleep faster, sleep deeper, wake up energized.
Starting point is 02:56:27 How'd you do last night? I think I've been picking it back up while I pull out my... Oh, I don't even know if my phone's around here. So you pull up your number. I'm going to tell you about adquick.com. Out of home advertising made easy and measurable. Say goodbye to the headaches of out of home advertising. Plan by and measure out of home with precision with ad quick.
Starting point is 02:56:47 And, oh, there's my phone. Let's see how I did. Well, we have our next guest here live in the, not the stream waiting room, the real stream waiting room, the TBP and Ultradome waiting room. We have Philip from Verkata. Welcome to the show. I want to, here, introduce yourself, but then get ready. Just go hit that gong right now.
Starting point is 02:57:06 Let's do it. Let's do it. Let's do it. You don't know anything about him or his company yet. But you know he's here for a good reason because the company has, of course, raised money. But please, introduce yourself, introduce the company, and then we'll get into the news. Sure, yeah. So excited to be here.
Starting point is 02:57:24 I'm Philip. I'm one of the founders and CEO of a company called Verkata. Yeah. And Verkata's solving a super important problem in the world, which is the problem of safety in the physical world. And we solved that problem with AI. We solved that problem with software. And we deliver that through devices like cameras, like door access controllers, alarm systems, and so on. Yeah.
Starting point is 02:57:44 So, I mean, Anderol in some ways is physical security for the military. Yeah, exactly. flock safety at the municipal level, are you at the B2B level, the B2C level? Yeah. Who are your customers? Yeah, so think of enterprises. Think of schools. Think of government buildings. Think of anyone and everyone in the world. Places you probably interact with every day. Sure. Airports, hospitals. If you go to the gym, gyms. Airports in the gym. The gym's going to be in the airport. There you go. There you go. So you get two for one there. But let me make
Starting point is 02:58:15 it real for you like an example. So, you know, we do like a hundred of the Fortune 500 use us today, but to give you a sense. And that's in their office buildings, on their campuses? Office buildings, campuses, parking mall, stores. What are they doing? Go with the picture. We're getting after them, yeah, so we'll get them all. But yeah, to put it in perspective, I think, you know, sort of like an example makes sense.
Starting point is 02:58:37 So just in LA, recently we got a customer, which is terawatts, right? They are a commercial vehicle charging station, so they charge the self-driving cars, the Waymos of the world, you name it. their challenges, they've got, you know, kind of premises outdoors, parking lots where all expensive vehicles come in, and they need to secure that, right? And they don't want to guard on every parking lot. And so what's their best next alternative? Well, up to this point, it was you can put cameras and then you can hire people watching those cameras. And that's very expensive. And if you know anything about people, they're really bad at watching video. Oh, yeah.
Starting point is 02:59:08 People have missed on video. Especially because you could watch 300 hours and there's only 30 seconds where it actually matters. And so you take out your phone one time to watch that one. one TikTok, and then... It was a really good meme. It was a really good meme. And you miss exactly what's going on. You miss the guy jumping defense. You miss the guy stealing the cable or doing whatever.
Starting point is 02:59:27 And so that's what we're able to do in real time. I imagine this product sells itself because if you don't have security, your salespeople can just go straight to the CEO's office. They just break right in. Okay, so you raised new money from capital G, Google. 5.8 billion dollar valuation. You are... It sounds like some or a good amount of it was used for, was secondary.
Starting point is 02:59:53 When did you start the company? I think, what were the first products? Yeah, what were the first products? Yeah, look, so let me just give you like a brief on the business and how it's grown, right? So the business is about nine years old, almost 10 years old, you know, in its history. We started in 2016. Sorry, you can't, you can't hear this. No, I just hit the overnight success.
Starting point is 03:00:13 This is the overnight success one. But yeah, it's been 10 years. We're at 30,000 customers globally, 17 offices around the world. Like I said, 100 of the Fortune 500. So that's kind of the journey of the business. We started in video security initially. So that was the first idea. And then from there, we expanded to a platform of physical security.
Starting point is 03:00:32 And that product, video security, was that a white-labeled video camera? And then you were doing the SaaS product, the software around it? Or were you building hardware on day one? How did that all get it? So think of it like an end-to-end solution, right? Like think of it almost like the iPhone of the video security industry. We buy it from us, we guarantee it, it works, you know, we do the hardware, we do the software, we do the software, we do the cloud software, and we seamlessly integrated all together. And that was the magic that our customers fell in love with from the beginning.
Starting point is 03:01:00 That's where we started. So that's 2016, 2017, we launched the camera. That goes really well. I mean, the market, you know, really loved the product when we launched it. A few years... Was there any doubt or was it just up into the right immediately? Well, you know, it's interesting. Like, there was doubt at the very, very beginning, right?
Starting point is 03:01:17 Like, in 2016, we were starting the company and people said, Philip, why are you doing hardware? Why not just do software? Just build, you know, just built back then computer vision. It wasn't even AI back then, right? There were so many hardware failures around that time, too. And hardware is hard, right? So I get it.
Starting point is 03:01:30 Like, I get why people were skeptical. Yeah. But then once we got the product to market, people got it. And it just worked well. The customer reception was phenomenal, and it was one of those stories where it just took off. And from there, you know, two, three years into the business, we realize that the opportunity is much larger than that, right?
Starting point is 03:01:46 It's not just video security. It's actually this broader world of physical security. The customer base has a dream of an integrated system that solves broader problems. So we started looking at access control. Think of all the badge readers, how you get into buildings. We started looking at alarms, massive market. Every building that closes at night has an alarm system.
Starting point is 03:02:04 You know, all of those send you false alarms. They've been invented years and years ago. All it takes us a truck drives by, a sensor shakes, and you're getting a call at 2 a.m. What is that about? right. Police stopped going to alarms because they get so many false alarms. Yeah, let's solve that. It's the same thing with car alarms on the street.
Starting point is 03:02:19 Exactly. It's going up. They do. Car is going off. No one even just psychologically in our society really stops everything if they hear a car alarm going out. If you're at a restaurant, you're not going to be like, I got to go check on that. Something serious is happening.
Starting point is 03:02:31 You're like, yeah, car alarms going. So that's where it evolved to. We now have the full suite, full platform. I'm super stoked. Like one of the cool things is, you know, it's only been like four years, five years really since we expanded beyond physical security, 77% of my core customers now use two or more of our products, right? 50% use three or more and so on and so forth.
Starting point is 03:02:51 So this platform story is really resonating, is playing it really nicely. Will we see robots integrated into your platform? I've had this thesis that, not the most original thought, but this idea that like security guards are primarily there to just be a human that is like at least a human shape thing that is on the premises providing this sort of a turn effect. And I can see humanoid robots getting traction faster and just standing in places that need to be secured and being like having a physical presence. Sort of looking intimidating. Looking intimidating before they're really good at like actually adding value in my
Starting point is 03:03:33 home. Yeah. I don't know. I'm sure you've like thought about it. Yeah. I mean, look, I think you might have some of that. I mean, I don't know how close that future is, right? But, I think, you know, fundamentally, if you think about physical security, it is a human problem. And I think humans are not going away from the problem of solving physical security for other humans. So, yes, we might have robots. Yes, we might have sensors. But ultimately, at the end of the day, I think, you know, security personnel is going to exist and it's going to address those human problems. Yeah.
Starting point is 03:04:03 It's just the technologies that we're building technologies like humanoid robots will make that security personal have a superpower in a way. It'll make them more aware. It'll make them do more useful things. It will save them hours of time watching mindless video or missing things and focus them on actually resolving the emergency at hand. Yeah, it's interesting thinking about the role of the human security guard. You can almost think about it as like a bundle of tasks or jobs to be done. One is basically a camera that you can move a security guard can go look behind that gong
Starting point is 03:04:35 and see if there's something going on there. But at the same time, like you can just put a lot of cameras and get coverage. But a security guard can also go and ask for more context. Say, oh, hey, are you supposed to be here? Let's have a conversation about this. And that's something that we're not quite there with the humanoid robot.
Starting point is 03:04:53 And so are there any other formats that you're excited about? Like the four-wheeled robots or the drones? I mean, I saw, doesn't Amazon sell a drone camera inside your house? Which I thought was very odd. I don't know if that product's doing well. But how do you think about the other? form factors that might be a little bit more economical, a little bit more tractable before we get to the field full humanoid. I think, look, the reality of it is, is I think, you know, the cost
Starting point is 03:05:19 of sensors and the cost of being able to be aware of what's going on is just going down as a result. It's not a new idea, right? We've had sensors in the world, you know, for decades, really, we've had it, right? And so, you know, my sense is the ease of deployment of cameras, the form factors of cameras, it's going to get easier, it's going to get simpler, it's going to be easier for the customer to use and it will take all sorts of form factors right it might be a camera that's drilled into the ceiling it might be a camera that's running
Starting point is 03:05:45 on solar power it might be a camera that's on a drone and by the way it might not just be cameras right it might be radar it might be microphone it might be other sensors I think the challenge becomes what do you do of that information and how do you effectively process that information ideally in real time
Starting point is 03:06:01 so that we can mitigate the situations right that you don't want to just use it after the fact yeah Yeah, we have great footage of you getting robbed. Right. It's amazing. Do you work with museums? Yeah, so we work with, you know, all forms of customers all around the world. I mean, you bring up museums, which pops to my mind immediately, the louvice.
Starting point is 03:06:22 Yeah, what happened there? Which is crazy, right? I mean, in broad daylight, you know, people came with a, you know, with a lift and got in there. But it's actually a very difficult problem to solve, right? Because if you think about it, they have to secure the perimeter of that building. And if you've ever been to that building, it's a massive structure. If you literally had humans or even robots roaming around that building, that would be a lot of humans and a lot of robots, right?
Starting point is 03:06:45 And so one of the things we're excited about is, you know, camera technology paired with AI is now getting to the point where monitoring for things like that is more reliable than humans doing it. It's faster than humans doing it. And so in a situation like that, we could totally, you know, alert the physical security response. He's like, hey, something suspicious is going on right here, right? And we could do that in real time with very high accuracy without missing events, right? So those type of situations, we think we can solve.
Starting point is 03:07:17 Yeah, help me walk through how AI actually impacts, like, decision-making on top of a sensor platform. Because I imagine, you know, the first version was probably just some business logic. If movement, send push notification or email or something, then you get to some sort of heuristic. based, you know, linear regression or something. But now you actually could take a video and upload it to an LLM and ask it, does this look suspicious? And it would just tell you, like, yeah, that does look suspicious or not. Are we there yet? Are we using generative AI? Are we using transformer-based models for this stuff? Like, what's the state of the art? Yeah, look, so the state of the art, frankly, it's amazing. And the amount of progress in the market in the last two years
Starting point is 03:08:01 has been just phenomenal. Like, if you take a video clip and, I don't know, take it and upload it to Gemini. Gemini will know everything that happened in that video clip and it just blows your mind. Like five years ago, that was science fiction. Today, that's a reality. So, you know, we rely on some of that, right? And I think the way we think about that is, you know, we try to understand what's going on in all of these scenes in real time with particular sensitivity to things that might be security incident related. And so if you think about that, you know, kind of premise, like what is common to all security incidents or most of them?
Starting point is 03:08:36 Well, they mostly involve humans, they mostly involve vehicles. There's at least some motion in the frame. There's some motion going on. That was the basis, right? And so 10 years ago... You don't need to just be uploading, oh, there's 10 seconds of video
Starting point is 03:08:47 where nothing happens, uploaded to Gemini, pay the token, no way. Yeah, yeah, exactly. And so you're onto something, right? So I think that's kind of the crux of it. It was like processing all of the video from all sensors and all cameras, today is still prohibitively expensive.
Starting point is 03:09:01 And so you can think of almost as like a layered filtering approach, right? We use different heuristics and different mechanisms, some on the edge, on the processor that's on the camera, some then in the cloud and some of like heavier models that we all float to. But with that full stack, we're able to discern things that really matter, and that might be something like,
Starting point is 03:09:19 you know, a person climbing a fence, right? Or a person carrying an object or an object left behind or, you know, soon enough a person pulling a weapon. Yeah, yeah, interesting. Is there a demand for sort of on-premise inference for any security stuff like this? Do you feel the whole layer? Yeah, I mean, I think, look, as I said,
Starting point is 03:09:37 I mean, the whole thing is, you know, how do you deliver this inference at scale and a reasonable cost that makes sense to, you know, kind of the broad base of customers? And I think the only way to do that, frankly, is to do some of that inference on-premise. The way we think about that is we do that on the edge on our device.
Starting point is 03:09:55 The two reasons for it. One is, you know, purely the inference cost. The second is, is actually if you think about it, most of the world is actually not connected with fast enough bandwidth to push all the high quality, high resolution data in real time to the cloud to do the processing in the cloud. And so that's yet another reason that we take this like, you know, kind of hybrid cloud approach, as we call it, where we do some processing on the edge. And that's been phenomenal for our devices.
Starting point is 03:10:20 How do you think about pricing for nonprofits, for more sympathetic audiences? When I think about, like, security for, you know, a big tech company, I'm like, they can pay the full price. but for a local school who might be worried about an intruder or some sort of disastrous situation that could happen at a public school, you don't want their, it would just feel so bad if it was like, they almost said yes to the contract,
Starting point is 03:10:45 but it was just out of reach. How do you think about making sure that you're delivering the product? Look, we try to be flexible and understand our clients and their needs in some product categories. We actually even have kind of special pricing for that, you know, for that. But you bring up a good point, right?
Starting point is 03:10:58 schools are a big customer segment for us, particularly in the U.S., K-12 education, and, you know, some of it stems from, you know, kind of the very scary security issues. But what we're finding, which is really interesting, is, you know, the school might invest in our system to sort of, you know, prepare for these dramatic scenarios, but then they're finding so many more daily uses because we had made the software intuitive, right? So we're solving problems like kids vaping on campus or kids bullying each other, right? Or, you know, I love the cases where, like, the principal sends us some video of, like, you know, these two kids got into a fight, and I was able to pull it up on my phone and figure it out. Oh, and by the way, I could, like, on my phone, you know, quickly obscure the faces of other kids in the scene and shared the two kids that were in trouble with the parents.
Starting point is 03:11:45 Right. So things like that are, you know, in my mind, it's, you know, you're building it out because you're, you know, you're going after the very scary problem. But there are so many more positive externalities. completely different lifestyle you used to be able to say you used to be able to throw down and get away with it well let's be real kids kids are creative right yeah they will do they will do fun stuff yeah yeah that's amazing uh what's what's next you'll get the rest of the fortune 500 the other 400 uh are you going to go public at at some point you want to stay private forever yeah look i mean i think we're a business that is definitely going to be a public company uh if you think about it we've got a market that supports it, you know, $55 billion a year in spend in the categories that we operate in today.
Starting point is 03:12:32 That's six product categories. We're chasing other adjacencies, you know, massive customer adoption. Our customers are buying more from us every year. So a customer who buys Verkata, 12 months later, they double their spend. You know, 24 months later, they triple and so on and so forth. So it's, you know, it's the kind of business that has the profile to be a public company. We're not ready to make that announcement today yet. Of course, of course.
Starting point is 03:12:55 But stay tuned and, yeah, we'll keep you posted. Build for it. What about, like, the supply chain? I mean, if you're building physical hardware, I imagine that the tariff, like, Liberation Day was probably stressful to you. How are you thinking about what, and also security is important, right? This is, like, potentially critical, depending on who you're selling to. How do you think about building out your supply chain for manufacturing?
Starting point is 03:13:17 Yeah, look, so, yeah, lots of change in geopolitics, obviously. We have, you know, kind of Asia-heavy supply chain. We started in Taiwan. We diversified away from Taiwan. Sure. We've got multiple regions in Asia where we manufacture, you know, our products. And there's also just different pieces like, you know, a plastic housing coming from China is different than a semiconductor coming from China. Yeah, yeah, exactly.
Starting point is 03:13:36 And then, you know, then the chips and the RAM and, you know, all the different components. But look, I would say over the last couple of years, we've diversified our supply chain, you know, quite a bit. So we feel, you know, like we're in a good spot as it comes to that. That's cool. Is there anything that you plan on reshoring or you're thinking about or looking about making in America? Is that an interesting opportunity? You know, not yet. Not at the moment.
Starting point is 03:14:02 Yeah. Yeah. Yeah. Maybe in the future. I don't know. Yeah, maybe. Anyway, thank you. Do you have anything else, Jordy? No, great to meet you. This is fantastic. Gras for the whole team. Thank you so much. Thanks for having. It was fun to be here.
Starting point is 03:14:13 This is great. We need ricotta. We do. We do. Let's get you. Yeah. Thank you so much for helping us. the show. I'm going to tell you about wander.com. Book of Wander with inspiring reviews, hotel great amenities, dreamy beds, top tier cleaning, and 24-7 concierge service. It's a vacation home, but better. I wanted to close up the show by just reading this post because I just thought
Starting point is 03:14:35 of Tyler immediately when this post came out from Jonah Katz. He says, great job on that project, man. I really like the way you prompted Claude and did nothing else at all. Claude is a great model. It's a good model, sir. It's a good model, sir. It's a good, It's a good slop app that barely works. Well, we have to actually close. But we couldn't do the show without you today. We really appreciate you. I have to actually close on this post from Charlie Puth.
Starting point is 03:14:59 Oh, yes. He says, hi, Elon. These sonic booms have gotten progressively louder since I started launching the rockets in Santa Barbara. He's talking about Van Dendemberg Air Force Base. This one at 3 a.m. today felt like 150 to 160 decibels, violently shook our whole house and really frightened my pregnant wife. I hope they do not get louder.
Starting point is 03:15:20 uh anyways uh i i was far enough away i didn't didn't hear anything but uh given the given the pace at which uh i think the the number of launches you see this poses you may want to consider you may want to reconsider living near vandenberg launch cadence is about to hit a hundred per year from two complexes so you're just going to have sonic booms like every every 24 hours eventually bizarre. There is a community note on this. People are kind of going back and forth says SpaceX does not launch rockets from Santa Barbara. They launch it from Vandenberg, which is 68 miles north. But he might be saying Santa Barbara County, or it might be going past Santa Barbara. But
Starting point is 03:16:03 I mean, the outrage from the Santa Barbara crew, if this is a real thing, is going to be intense. You got... I mean, it's really the Montecito. It's the Montecito. It's the Montecito crew that will really come down. Santa Barbara. It's the it's the it's the, it's the, it's the, it's the monocito of California, I don't know. You mean it's the Connecticut? Yeah, no, no, it's not the Connecticut.
Starting point is 03:16:25 I don't know. I haven't mapped it. I actually don't know. It's the Catskills, right? Isn't the Catskills upstate? It's kind of upstate New York coded. Yeah, I'd say something like that. I don't know.
Starting point is 03:16:33 We'll have to get some resident New Yorker to break it down for us. But, yeah, people are going back and forth. I was digging into, like, is this even possible? Can it really get up that high? I feel like we need Brian Johnson to weigh in on this since he is, He's both, you know, I believe he's like a big Elon Bull, but he's also extremely sensitive to loud noises. And so I'm sure he'd get up there with his decilater. We'll start with a black pill and then a white pill.
Starting point is 03:17:00 Okay. On the topic of Southern California, this person Sam says, it's actually kind of crazy how washed L.A. is as a city right now. Lots and lots of closed failing restaurants. The wages here are shockingly low compared to cost of living. Film industry still hasn't recovered from that double strike two years ago. I've been saying it's been kind of like Detroit energy lately. Don't come at me with that activity, brother.
Starting point is 03:17:24 Trevor says, things are definitely changing and will be painful for a bit, but the glass half full take is that all the boomers who held on to power for far too long are being shaken out. New blood pumping into every corner of the city next 20 years is going to be magic. What is this picture?
Starting point is 03:17:39 He's attached. This is hilarious. I like this. It's Randy Newman. I love L.A. It's the music video. Yeah. Well, this is this.
Starting point is 03:17:47 This is a great way to play it out. I love L.A. I love that song. Anyway, thank you for tuning in today. We will see you tomorrow at 11 a.m. Pacific Sharp. Leos five stars on Apple Podcasts on Spotify. And have a great day. Merry, Merry Christmas.
Starting point is 03:18:02 Merry Christmas to you. The holiday season is upon us. And we love you. We'll see you tomorrow. Goodbye. Cheers.

There aren't comments yet for this episode. Click on any sentence in the transcript to leave a comment.