Nvidia Invests in Thinking Machines, Meta Acquires Moltbook, BYD F1 | Olivia Moore, David Paffenholz, Adam Goldstein, Max Junestrand, Allan McLennan, Jagdeep Singh, Scott Hickle

(upbeat music) - Here we are to the TVPN. Today is Tuesday, March 10th, 2026. We are live from the TVPN Ultra Dome, the Temple of Technology, the Forcibly Finance, the Capital of Capital. We have a great show for you today folks. Let me tell you about ramp.com. Time is money. Save both EZ's corporate cards, bill pay accounting and a whole lot more all in one place. Let's quickly pull up the linear lineup because we have some great guests coming on, Olivia Moore from A16Z's breaking down the top 100 generative AI consumer applications. Of course, linear is the system for monon software development. 70% of enterprise workspaces on linear are using agents. And we have-- - Next. - David. - It's Deal's Day. - It's Deal's Deal's Deal's Deal's Deal's. - For Juice Box. - Juice Box is coming on. We got Gore on a money. - We got a huge amount of money. - At a big value race. - We got raised a bunch of money. We also have Archer coming on to talk about flying cars. When will we get them? What happened to my flying car? They built one. We're gonna see what the timeline is to get me in it. Well, let's run through a few of these deals. Just to kick off the show, we're gonna go through them later in the timeline. But there's a few things Branden Grail wrote the op-ed today in the TbPn news letter at tbpn.com. Mirror Maraudy's Thinking Machines snagged a multi-year partnership with NVIDIA. Thinking Machines has been on the ropes. They lost half of the six co-founders in under a year. There's a question about where the business is going. This is obviously a good sign that they got a multi-year investment done within NVIDIA in which it will deploy at least a gigawatt of cutting edge chips to train AI models. They are going to be GPU richer. I don't know where the bar is for GPU richer, GPU poor is today, but they're one gigawatt richer after today, which is good news for them. So congrats to everyone at Thinking Machines. Even though they've had a couple high profile executive departures, the team has grown from 30 people to 120 people. So they're still cooking, also still cooking. Alex Wang, there was a bunch of fake news on the timeline. I'm going to begin to this, but multiple tech news aggregator accounts on X posted that Alexander Wang, who's been on the show at Meta Connect. I've interviewed him a few times. He leads MSL, Meta super intelligence labs. And they were saying he's out. He's on his ropes. He's on his, he's fighting for his life over there. Well, it was fake news. And we'll go through exactly how this happened. But Meta CTO, Andrew Bosworth and Zach also both hopped into the chats. Different chats, which we'll take you through, to categorically deny the rumor. So we will dig into that. Also, Jan LeCoon, Matt raised a massive seed round for advanced machine intelligence labs, AIM, IEL. One on 3.5. Not bad, not bad. Not the kind of combination that you normally see. Yeah, it's not very American. Do it 30% sure. Sure, sure. But it's a big, good, good, good, good. The money. In the age of AI, in the age of compute requirements, you got to spend money to make money in AI. And he's got the money now. Also, as we mentioned, LaGora is coming on talking about their series, D, $550 million at a $5.5 billion valuation just a year after their entry into the US market. Fascinating industry. We talked to partner at Sequoia yesterday. Obviously, Sequoia is an investor at Harvey. But how will these firms change? Will the tools become agencies? Will they be doing the work? Will they be more direct to consumer? This is a question that we've been digging through in the-- Yeah, a lot of people have been questioning just how thin are these rat-- how thick or thin are these rat? That's basically-- Yeah. --but-- Also, AI Recruiting Platform Juice Box, which was a part of YC, Summers 2022 batch. That's a good time to go through YC right before the AI. Boom. You're up and running. Well, they are up and running with $116 million after a $80 million series B, which values it at $850 million. That's the kind of delusion that you're looking for. 10%. Not bad. Little under 10%. And the round was led by DST Global with participation from Sequoia Co. 2 in YC. Very good news for the folks over at Juice Box. They're in the hiring markets. So we're going to have the founder on to talk about the business, but also talk about the hiring market, where is their strength, where is their weakness, what is he reading into the job's data, will try and get to the bottom of where the opportunity is in the modern economy. Meta also acquired the agent-based Reddit style social network Molt-Book. We, of course, had the founder, the creator of Molt-Book on. I actually know the other co-founder as well, Ben Parr. They will both be joining Meta Super Intelligence Lab. There's a lot of back and forth on, was it all slop? Is there any value there? Well, we don't know the terms of the deal. It doesn't have to be a billion dollar acquisition. Who knows? I've talked to both the founders. They're both capable, interesting people. And I think it's under-discussed. And we'll get into this under-discussed that who is evaluating these acquisitions? It's not just Mark Zuckerberg. It's not just Alex Wang. You also got Nat Friedman and Daniel Gross. These guys have backed a lot of founders. They've worked with a lot of AI startups. They can understand the team that they're trying to build over there. And there might be some interesting interface between AI agents and social media. This is highly relevant. Meta seems like a logical. Yeah, remember Meta filed some patent for basically bringing yourself back to life in an agent form after death, right? So of course, they're thinking about this stuff. What you said, you're more tolcoil and you molt. You go on multiple. That's very macabre. Yeah, but I would be shocked if they keep moltbook running for more than a handful of months. It just feels like, hey, let's bring some people on board that have been spending all their time thinking about how bots are going to interact with other bots and humans on the internet. And Meta's done a ton of these types of acquisitions where smaller products, tokens, not everything has been WhatsApp 16 billion. I forget. It was a lot of billions. Yeah, Nikita's first tip was-- That was a good example. And if you just think about it as you get a shot on goal with one product, you get a product leader that can go and bring some new energy, some new ideas. And there's a lot of opportunity there. Well, before we move to the timeline, let me tell you about Figma. No matter where your idea starts, Figma make, Cloud Code, Code Act, or Sketch, the Figma can this is where ideas connect and products take shape, build in the right direction with Figma. And let me also tell you about Gemini. Gemini 3.1 Pro is here with a more cable baseline. It's great for super complex tasks, like visualizing difficult concepts, synthesizing data into a single view, or bringing creative products to life. And there's also some exciting news from Google that we'll touch on today. Not exactly a deal, but a whole bunch of new features that we'll be going through. So Theo is talking about the latest from Anthropics. So Cloud Code now has Code Review, which optimizes for depth and may be more expensive than other solutions, like OpenSource GitHub Actions, reviews generally average, 15 to $25 build on token usage, and they scale based on PR complexity. And Theo says, Anthropic really needs like one normal person to prove these things before posting. I guess people are upset about the price of having these code reviews build individually in a world where so much code is being generated. Some of the initial copy around this announcement looked like it was just a flat rate per code view. In actuality, it's built based on token usage, but it's funny to have like a flat rate. Yeah, generating code. You're getting charged to review the code. And it's just like-- Also, all of the token rates and just AI expense lines are shifting so dramatically. Token usage is ramping. You're getting discounted tokens from certain plans. It's very hard to grapple with how you think about budgets. We've talked to a number of people where at Microsoft every employee needs a token budget. Every employee needs some sort of AI budget. You should still think about it almost in a per-seat basis, but depending on what someone's doing in the organization, they get a different AI budget. But this post from Burhama was very funny. They feed us poison, Cloud Code. So we buy their Cures code review while they suppress our medicine. Which is-- what is the medicine in this card? It was actually writing the code correctly the first time. Pull up this next one from Lafay Cloud Code after writing your code. Leave a tip. Yep. [LAUGHTER] They really should do a tip button. I like the idea of a tip. Tyler, what's your take on buying or paying for AI code reviews? You know, we're sponsored by a code review company. There are a number of code review solutions. What's the advantage to having AI run a code review these days? Yeah, it makes a lot of sense. It doesn't apply to you because you don't review code, correct? Well, I mean, so it makes sense for teams, right? Because I don't need an external code review on my code because I'll just have-- if I'm in Codex, if I'm in Cloud Code, I'll just tell it review it or-- Review it or you put it. You would think that it does it work. While writing it, it's reviewing it, right? Hopefully it does that. So I never-- Personally, I never checked my work in the moment. I've just-- Never. Full speed ahead. What is this-- what is this Claude remarks account, P_remarks? It seems like it uses the real Claude logo, but it very much feels like it's not owned by Anthropic because this post is Walter White spinning a pistol, saying mid-level non-technical business unit leaders asking Claude where they can cut headcount to reduce waste. and you're welcome. flip it around and says, actually, we don't need you. Which is the funniest situation, Claude, based on this conversation. We don't need you. >>Anton says, make the models cheap to use. Great. They all forgot how to code. Now, 10X the price. >>It's not that bad. Stuff's working. We have had fantastic success with vibe coding. We are quickly becoming a game studio. We have, of course, released TBPN simulator. Thanks to that over there. We have some other projects in the works. And it's going to be a good year for us. We're very happy with the tools that are at our disposal. Max Zepf and Wired shares that open AI and Google employees, including Google DeepMind, Chief Scientist, Jeff Dean filed an amicus brief in support of in-thropic in-its lawsuit against the government. I saw guests of the show, Dean Ball also put together an open letter through FAAI that if you feel inclined, you can go sign to support the idea that an enthrop should not be labeled a supply chain risk. Maybe some other Chinese lab should be labeled a supply chain risk. We'll leave it up to you to see where you land on that conversation. But there are certainly lots of people that are coming together to try and crystallize the final decision there. In other news, from Axios, the White House ready is an executive order to weed out enthrop, they are really pushing hard on this supply chain risk designation and pulling away from anthropic. There's news that they might be using Gemini, might be using open AI models. The GROC has already installed. There's a question about capabilities. But the capabilities seem to be jumping back and forth constantly like with the Google News today with the Codex 5.4. This temporary r of like they needed enthrop because it was the only thing that could do X, Y, or Z. That seems to be gone for this week. Who knows where it will be next week. But if you are trying to make it in DC, you've got to open up the front page of the Wall Street Journal because there's a tip. So, if you have a meeting with Donald Trump, you better wear his favorite shoes. Can you guess what his favorite shoes are? No idea. It says Balenciaga's. No. It says Oxford's. $145 Oxford's to be specific. The president has developed an obsession with $145 Oxford's. All the boys have them as the quote. The hottest and most exclusive magma status symbol is a pair of leather Oxford's. Prefer a wingtip, loafer, or monk strap, black or brown. President Trump has got you, apparently. Trump has been gifting footwear to agency heads, lawmakers, white house advisors, and VIPs. Did you get your shoes? He wants everybody to wear the same pair of shoes. Yes. And he asks people, "In cabinet meetings, did you get your shoes?" Did you get the shoes they said to you? That's pretty amazing. That's pretty nice. Some people have laced up in the Oval Office during a lunch meeting in January. Trump suddenly pivoted to his incredible new shoes and gave Tucker Carlson a pair of brown wingtips. All the boys have them, said a female white house official. Another joke, it's hysterical because everybody is afraid not to wear them. The shoe salesman in chief is paying attention. This is extreme. Do we know what? It's a floor shot. Wow, that was the next sentence. Spoiler, learn over here. You read the journal before me. We're going to have to get two copies of the paper journal because I have been reading the journal for a full year now or two. And I get over it and I'm like, "Where's my paper?" Oh, it's over on Tyler Cosgroves. What's the history of this brand? Why? I have some floor shimes. I like them. I also have them. Yeah, they're good. They're just like a. they're excessively priced at $145. They look nice and they sort of match everything and look at that deal. Would you expect this to roll in? Gives you a little to roll in to truth, so should I. Potentially. Potentially. Is. I don't know if it's public. Potentially a spat candidate. Anything could happen here. Trump has fallen in one love with floor shine. An American brand that's been pairing comfort and style for more than a century. They're also affordable. Many costs just $145. Not bad for a pair of leather shoes. The president has taken to guessing people's shoes size in front of them. You're in a meeting and you're like. The press sir, the press of oil. He's like 11. I'm pretty sure it's 11. 11. This is wild. He asks an aide to put in an order and a week later a brown floor shine box. You should just have them in stock. You should just keep it up. Reach by phone. Thomas Floreshime Jr. said he was unaware of the president's shoe orders. How are you not tapped in, Thomas? The 79 year old billionaire known for expensive briooney suits, long red ties and a pension for us. Late last year, he began searching for something that would feel better after a day on the job and settled on floor shine. Trump liked them. So much, he started dispensing them. He pays for the shoes. The lighthouse said. President J.D. Vance and Secretary of State, Marco Rubio have some. So do transportation, secretary Sean Duffy, defense secretary Pete Hegseth, commerce secretary, Howard Lutnik, Trump's communications secretary. Wow, it's really everyone. Sean Hannity, Senator Lindsey Graham have a pair. Recipients have taken to wearing their floor shimes around Trump. Some begrudgingly, one cabinet secretary has grumbled that he had to show his Louis Vuitton's officially the White House wouldn't confirm Trump's choice of floor shine. One recipient said, "Trump had a stack of them in an office. A box for a Treasury Secretary Scott Nesson." Nesson does not want these. No way. He's got some Louis Vuittons or something. Reach by phone, Thomas J. Floreshime said he was unaware. He read this. Floreshime was founded in 1892 by Chicago, in Chicago by Sigmund Floreshime, a German immigrant and cobbler, and his son Milton, a century before Trump began putting his name on everything. Floreshime stitched its moniker on shoes and opened branded stores across the country. The company outfitted American soldiers during both World Wars, later it rode. The shopping mall boom, President said. President Harry Truman wore them. Michael Jackson moonwalked in Floreshime loafers. I had no idea that was the pair of shoes that he moonwalked in. That's remarkable. Like Trump's own -- He did a moonwalk in loafers? Yeah. I mean, that's what he -- I think they're white bottoms loafers. We should pull up a picture of Michael Jackson doing the moonwalk. But you definitely need a smooth dresser. You can't moonwalk in something with a lot of grip. Like Trump's own business fortunes, Floreshime has experienced ups and downs, including filing for bankruptcy in 2002. Part of a move that returned the brand to the Floreshime family. So they bought it out of bankruptcy after selling it. Today, it is part of the Melendale Wisconsin-based Waco, which also distributes non-Bush stacey Adams and Boggs. Rubia and Vance received their Floreshimes after a December meeting in the Oval Office. Deep in conversation, Trump peered over the resolute desk at their feet. Vance recalled during an event that later that day, celebrating Kennedy Center Honorary's "Servester Stallone." Marco, JD, you guys have S. Blank-Y shoes. Trump declared before retrieving a catalog. A third politician was in the room. Vance didn't name him. And Trump asked each person their size. Rubia said 11.5. Vance 13. A third man said seven, according to Vance. It's humonging. It's happening all over DC. If you head to DC, get a pair of Floreshimes. Or maybe, maybe there's an opportunity to start the left-wing response to Floreshimes. Since often these things get politicized. But the real money is going deeper in the supply chain, selling weapons to both sides. You know that Alex Jones and Gwyneth Paltrow at one point were sourcing supplements from the same copactor? Yes. The exact same ingredients, the exact same chemicals sold to two wildly opposing audiences. Like this is something that happens deeper in the supply chain because that salesman-- The brand matters. Donald Trump. Yes, yes, yes. Somehow, I don't think so. Quickly, before we move on, let me tell you about console. Console builds AI agents that automate 70% of ITHR and finance support, giving employees instant resolution for access requests and password resets. And let me also tell you about Phantom Cash. So, under your wallet without exchanges or middleman, and spend with the Phantom card, people just do it. So, it is BYD. Explores F1 entry in first racing push. BYD is examining options to enter competitive motorsport, including Formula One and endurance racing, in an effort to boost the Chinese brand's appeal globally. The automaker is looking at several options following its rapid growth outside its own market, and competitive racing's continuing shift towards hybrid engines. People said these range from the world endurance championship, which includes the 24 hours of Le Mans to F1, either through building its own team or potential acquisitions. Any move by BYD would be a rare direct attempt by a Chinese manufacturer to take on a sport dominated by European and US teams. Car makers from the country have had sporadic interest in motorsport. Giley successfully participates in international touring car racing, through Sian Racing, formerly the Volvo Factory Team and NIO Inc. on the driver title for the inaugural Formula E electric championship in 2015. The potential cost of entering F1 could be a significant obstacle for BYD. ID according to one of the people. That's a good money. Maybe they're down to their last 10, 20 grand. It's possible. Developing and entering a car often takes years of negotiation and costs as much as-- They should start a new one. So they should start a new race series. You know how the BYDs can jump over potholes? Have you seen this video? Yeah. We've pulled this up before. So they can jump. There should be a specific racing circuit with terrible potholes that if you crash, it'll just destroy your car. So you have to jump at the right time. And that adds like an extra layer of thrill. I love it. This would be good. I love it. And probably way cheaper to start that circuit. There's only one F-1 race in China at the Shanghai International Raceway, the China Grand Prix. So who knows how much of an impact they would be able to make. Let's continue. No decision has been made. And the company may not decide to enter any competition-- a BYD spokesperson-- didn't request for comment, didn't respond. BYD is known for making affordable electric and hybrid vehicles. OK, so they do have some hybrid technology. It's always weird. A Tesla F1 car would be odd, cool, but it just feels like they should be in Formula E because I think of them as an electric car maker. But BYD in 2025, its high-end, young-wang branded brand tested the U9 extreme vehicle at a track in Germany recording a top speed of more than 308 miles an hour. That is so fast. That is so, so fast. Too hard is insane. I mean, being on the track and going 120 feels fast. Three times that is absolutely crazy. Yeah, 150 feels wrong to me personally as a father. Yes. But 300. But the right track, the right conditions, straight, lots of run-off, it is possible. It was BYD that was trying to break the drift record by spinning it out. Yeah, you were very upset about that. The chat agreed with you. They were not happy with that. An F1 partnership would also significantly boost awareness of BYD in the US. Do you know what BYD stands for? No. Build your dreams. Wow. Build your dreams. Do you know what LG stands for? The TV maker? Life good. Yes. Life's good. Life apostrophe S is good. Life is good. Life's good. LG. Good pop quiz. The sport itself is experiencing a surge in US popularity, which is odd because if F1's booming in the US, it's going to be more expensive to enter. But BYD doesn't have a strong sales and distribution into the US. F1 is still an international sport. But if it becomes more of an American sport-- Yeah, this is just a Europe. This is just a Europe building relevancy in Europe. And they have a huge amount of competition back in China. So in many ways, I would view a move like this as not as much trying to compete with international brands. But we have all these brands at home hot on our heels. We have to differentiate versus them. Totally. Tyler? I got to put it in true zone. It does not stand for "Let's Good." No. "Stands for Lucky Gold Star." Lucky Gold Star. Where did they get life's good? I think it's another brand. They might use that in marketing. OK. The etymology of LG is from-- Wow. --dustroid. OK. Thank you. Here's another idea. BYD, instead of showing out half a billion dollars for an F1 team or whatever it costs, they should just do what perplexity with Lewis Hamilton with Joe Guan Yu, the Chinese driver, who is actively racing and they could sell the spot on top of the helmet. And so that would be more of if Joe has a good season, if he wins, they're backing that. I wonder if you can't do a car sponsorship while you're racing for a different team, though. I don't know who-- Who does Joe-- Yeah, I'm sure there's limitations. Who does he race for right now? Oh, he's on Cadillac. OK. Well, yeah, that's probably not going to work. The most American dude. Sitting in the Cadillac with the BYD sticker on his helmet. Yeah, maybe that doesn't work. Stick with Huawei, maybe. I don't know. Gabe says he's not actively racing. Oh, OK. OK, he's back up. Yeah, thank you. Buying in to F1's more common this season is the first for Audi after taking full control of Swiss motor sport company, Salber. Investor, Ocho Capital is seeking buyers for his stake in Renault, Alpine Racing. However, full team sales are rare. Billionaire Lawrence Strolls asked and Martin Team has recently sold stakes in the team, which has had a disastrous start to the new season after mechanical issues, including vibrations from the power unit. Motorsports such as F1 are increasingly adopting environmentally friendly practices for 2020-6. F1 has implemented new rules, including hybrid power regulations that boost battery capacity. Somebody ran the numbers on the CO2, the emissions savings that F1 is getting from the new regulations. And then comparing that to the emissions of just taking this massive carnival of motorsports on the real-world year round. And all the private steps of plans, every F1 event. And it just doesn't make a dent at all in the overall impact. And it's just sort of like emissions theater. Let me tell you about vibe.co, where D to C brands, B2B startups, and AI companies advertise on streaming TV, pick channels, target audiences, and mentors sales, just like on Meta, and let me also tell you about Railway. Railway is the all-in-one intelligent cloud provider, user favorite agent to play web app servers, databases, and more well-rearway, automatically takes care of scaling monitoring and security. So what do you think performed better over the last five years, the S&P 500 or COS? Live cattle, apparently, outperformed the S&P 500. But this is from a cow called DJ COS. And I feel like David Waden for this to happen in the entire time. They've been waiting for the one moment that the cattle market outperformed the S&P 500 and they're taken a victory lap. DJ COS, one of the greatest to ever do it. Very, very interesting. I didn't realize that there was such a boom in the cattle market. But apparently there is, and I'm sure there's a way to get it on the action, if you so choose, if you are interesting. Well, let's move over to AI and the NeoLabs. Nvidia invests in Miramarodies, thinking machines, lab, the startup, founded by OpenAI's former CTO, plans to deploy at least one gigawatt of Nvidia chips part of a new partnership. The deal includes a collaboration to design artificial intelligence training and serving systems using Nvidia technology. The size and structure of the investment couldn't be learned. Is it a circular deal? Is it equity in exchange for chips? It's unclear at this point. But nothing's off the table these days as-- Yeah, I think the main thing we know, we know, thinking machines was outraising towards the end of last year going for something like a $50 billion valuation, seems like that. I would guess that hasn't happened. Otherwise, I'm sure they would announce it from a-- from a just like-- in order to project-- if I were them and I wanted to project confidence, it would be trying to announce the biggest possible number. Instead, they announced this effectively-- They're very-- Look at this photo. Is there any chance that these two companies emerge at some point in the future? That's interesting. Tyler's always been on this like if Jensen gets really AGI-Pilled, who keeps the chips for himself and serve the models himself. And Nvidia does have some in-house training and inference capabilities. They have a metaverse product that simulates worlds. They also have a self-driving car project. And they're still partnering with OEMs and partnering with companies. And they're not offering consumer products, of course. Nvidia is the one company in the Mag 7 that does not have a social network yet, but that could change. But what do you think? There's been news recently. I think Nvidia is planning to launch some open source AI agent. Yes. It's like unclear how serious that is. Maybe it's just like a cool demo or something. But yeah, I don't think it's super-- Could be a fork of open-cloth or something like that. Yeah, anything's possible. I mean, Nvidia has never done too much in the consumer space. Or there have always been deeper in the supply chain. But did they have an Nvidia shield gaming product that would do game streaming? I think they had some hardware at some point. So I think they're open to it. And in a huge boom where, you know, having at least a team of 120 super-talented AI researchers, that could be really valuable to Nvidia. Of course, Nvidia famously did that deal with GROC and sent over 10 billion wired in five days or something. 24 hours. What was it? Yeah, they closed the whole thing in 20 days. And I think Jensen just sent a $10 billion wire in the game. Yeah, somehow it came out that the wire was sent prior to actually formalizing it. It was like, here you go. I'm good for it. I'm cash flow, which is wild. So if he says, please, bro, just one more AI lab, bro. Come on, bro. We have a unique perspective on AI research. No one else is doing it like us, bro. Come on, bro. We can raise a few billion. In worst case, we just get aquire, bro. Nothing to lose, bro. I promise. Come on. Just join my research lab. Yeah, I mean, has the NeoLab boom slowed down? Like, Tyler, you created the NeoLab market map. Have you been getting more DMs? Hey, I just launched and you got to put me on that thing. It's probably slowed down a little bit. I mean, it's also like-- The big ones you heard about were all people leaving OpenAI, mostly OpenAI, not as much anthropic. But it's probably started out in a little bit. You don't hear as much about these big rounds now. But I think there are some that are maybe in stealth that happen launch stuff, like standard intelligence when they came on. There was most people didn't know about that. Yeah, yeah, yeah. Yeah, there might be a few out there in stealth, but they have to be sort of narrow or, and I think the broader, we're now in the post-post neo-lab era where it maybe if it wears the neo-lab branding, it's doing something that's so different that it's not really in the path of life. But standard intelligence launching implies an opportunity for a neo-lab non-standard intelligence. Yes, yes. And so, there is a company unconventional AI. Really? Yeah, we had the monoblination. Oh, isn't that, that's Navine. Oh, yes, yes, yes. Yeah. There's also like a applied compute and an applied intelligence and standard cognition. There's a whole kind of like three by three grid you can do. Yes. Yes. What is SSI up to? Roon asks the question, he said, "There are military secrets much worse guarded than whatever SSI is up to." And Kalamaz says their ore farming is a business model. I'm going to like to fill you with saying this because Prime Minister like these fantastic ore farming, SSI is all about mocking and munching the other labs apparently according to Voltaire. They haven't raised a year. I like this picture of you scrolled out of Ilya with the long flowing hair. This is great. This is who you're trading. This is who you're trading against right now. That's my theory. Yes. It is the full story of SSI will be fascinating to tell one day. The Daniel Gross, Schiff Tomato, and Ilya's appearance in Dorke, Kashpatel sort of told one side of the story. And also as you revisit DG's AGI beds as we did last Friday, it tells you a lot about his view on the world. Ilya has a, you know, probably some overlap by the different view of the world. And lots of fun to at least speculate on the timeline. Before we move on, let me tell you about Vanta, Automate Compliance and Security Vanta is the leading AI Trust Management platform. And let me also tell you about Lambda. Lambda is the super intelligence cloud building AI super computers for training and inference and skill for 1GP to hundreds of thousands. So Meta has acquired Molt book. The viral social network built for AI agents, co-founders Matt Schlitt and Ben Parr will join MSL Meta super intelligence labs with a deal expected to close in mid-march. That's now. It is mid-march. It is in, we are in the middle of March since it is the 10th. So this could close in a week or two. Insane, well done, says Dennis Hagstad and I agree. Why matters according to Axis? Yeah, Matt hasn't posted anything yet. So I think they were seemingly not wanting this to get out. But it's still fantastic news for them. Yes, so there's no announcement or this was just exclusive from Axios. Axios has learned, right? Axios has learned that Meta has acquired Molt book. Well, very, very good news for all those involved. There is a little skepticism on the timeline, especially from the guy who was like the biggest spammer on Molt book. Apparently this is a hilarious twist. So Meta did not disclose Molt book's price when Axios asked. The deal is expected to close mid-march. The pair is starting at MSL March 16th to six days from now. What day of the week is that? That's a Monday. Okay, next Monday they will be starting. I thought they were starting on Sunday. That would be particularly cool. Catch up quick, Molt book social network was designed to run in conjunction with a separate project open claw. Last month, Open AI hired Peter Steinberger, the creator of Open claw. That product is now being open source of Open AI's backing. So, the king of spam on Molt book, Nogley says, "I can't believe a single four-loop script I ran on Molt book by registering a million fake agents actually helped them get acquired by Meta mental." Did that help them get acquired? We have no idea. I mean, it's. It wasn't a secret that there was a lot of spam. All the accounts were bots. Yeah, that's all that check, actually. I think the question if people were to look at this is like, is there economic value here? Is like, was there anything interesting happening there besides all the crypto junk? And I went on Molt book as a human and spent time there. That time is monetizable. Almost best from Meta. That is the king of monetizing attention, right? And so you could put ads on that and you could put it in the family of apps next to Facebook, Instagram, and threads and WhatsApp and whatnot. But were they actually driving attention? Did anyone stick around? Because I turned pretty quickly from being a. I wasn't even a DAU. I used it two or three times. And I went on there and I searched for things and I read some stuff and I was like, "Oh, okay, this is interesting. This is a bunch of AI generated attacks that are talking to each other." The system prompts him kind of interesting. He was clearly asking the AI agents to kind of reflect on their own sci-fi, cognition and awareness and their souls, essentially. It was interesting to see some screenshots, people had some fun with it. Probably monetizable to some degree. But if it fell off a cliff and no one's really using it, maybe not. But I just. Yeah, and I just. Two people that are really good at building like viral AI projects. I've seen some negativity on the deal, people saying, "Oh, this just says that Zuck has no AI strategy and I just totally disagree with that stance." I just look at this as. Zuck has, like, bots have been a bug on social media. We've seen though how they can be a feature. I think every social media executive should be planning for bots to be more of a feature in the future than they have been in the past. And I think if you're not thinking about that, you're not really being forward-looking. And so there's a lot of people that are going to hate bots as a feature. But I would just assume that in the future there will be millions, billions of bots on all meta-properties and they will be not. I'm sure some that are generated by sort of nefarious actors, but some generated from the platform itself that are part of the product experience. I like that take. I also think that there's another side of this, which is just that, look at what's happened with MSL over the last year. It didn't exist a year ago. It really started over the summer with the talent raids and the AI talent wars. Vance says, "I just don't think having bots click on my e-commerce ads is a bad positive one." Yeah. But truthfully, if there's a bot that can interact with your e-commerce content and add context and debate the pros and cons of one thing in your category versus another, and effectively, you have sort of a Reddit style experience around your product on day one, or you have five products and bots are in there discussing them. That potentially could be an interesting modality to interrogate in. The other thing is that when you have these bots sort of preemptively discussing something, you are effectively caching the tokens before someone actually queries them. So, instead of needing to find a product and then click, "Tell me about this and pretend you take a link to a new bed or car or something and you dump that in chat to PT," and you say, "Debate this car like your bunch of people that are experts and it's Doug Jemiro versus Matt Fera debating the value of the Ferrari F80." That debate is happening. You could prompt that, but if it's already there and it's sort of happening, it could potentially be valuable. But I think the bigger value to meta is, if you look at the AI talent wars, they went in acquired a bunch of really talented researchers. They got some folks from thinking machines. They got a bunch of people from OpenAI. They got people from all over the industry and they put together this team of researchers that can sort of like unstick the Lama project and get to the frontier on just an in-house LLM project. Maybe they open source it. Maybe they don't. Maybe they serve as an API. Either way, meta needs a frontier model. They're not just going to buy tokens from OpenAI or Anthropic. So, they get their own thing. And then the question is, what do they do with that? I'm sure everyone on the Facebook product team is thinking about this. Everyone on the Instagram team is thinking about this. Connor, Threads is thinking about this. But if you bring in two interesting product managers that can say, "Oh, you got a bunch of cool frontier models. You got an image model that you train, a video model. You got a text model. You got a coding model. Let's just go do some skunk work R&D so that when we launch the new AI models, we have number. of projects that we're experimenting with that sort of demonstrate the capabilities, maybe some of them take off, maybe some of them integrate. That seems valuable to the MSL strategy, to the meta ecosystem. >> This is like the opening ILABS team, right? >> Yeah. >> It's like the world where-- >> Is that Riley? Who's on there? >> Yeah, Riley's on that now. They're doing these weird projects. Maybe it's the next coding agent. Maybe it's like multiple or something. But it's just like these weird things. You get access to the new internal models. >> Yeah, maybe there's something cool you can do with that. >> Yeah, it's part engineering, part product development, part marketing, part communications. Because there's a lot of times when we bring on researchers or product leaders from labs. And we ask them, how are people using this? And they'll be like, the benchmarks really good. And I'm like, I want to know how this delivers value. And there's this break in the chain from like, we have amazing intelligence, but like, people want to know what the killer feature is. They want to know what the studio Ghibli prompt is. They want to have their handheld a little bit. And so having a team that can advance that. I think is good. I think it could be very, very good. Of course, we don't know the price. We don't know the terms. But overall, I think it's exciting for the team behind multiple book to head over to MSL. So congratulations to them. Let me tell you about cognition. They're the makers of Devon, the AI software engineer. Crush your backlog with your personal AI engineer team. And let me also tell you about Cisco. Critical infrastructure for the AI era. I love that horse. Unlocks seamless real-time experiences and new value with Cisco. So. >> Kevin Rousse, over the New York Times, made a blind taste test to see whether New York Times readers prefer human writing or AI writing. 86,000 people have taken it so far. And the results are fascinating. Overall 84% of quiz takers prefer AI. >> So far. >> So far. There was another interesting post about Axios and who Axios is hiring. They're particularly interested in hiring domain experts who don't write ideologically and are not generalists. They're looking for someone who is very narrowly focused on a particular beat, on a particular topic, and an expert in that. And someone was reflecting on what this says about modern journalism that it's going to be more focused, more investigatory, more alpha beyond the models. Because just being able to instantiate a piece of write up an article about some random topic is getting commoditized. And so the alpha moves to deep expertise. Should we take this five question quiz? Should we see more? >> Yeah, that's right. >> More, okay. You will answer, I will read. So passage one, the boy, this is literary fiction, you have to choose the passage you like best. The boy asked his grandfather why the old church had no roof. The man said whether and time and indifference. The boy asked if someone could fix it. The grandfather said yes, but no one would. Things were built and things fell down and mostly people just stepped over the rubble on their way to somewhere else. That's passage one. It makes no difference what men think of war, said the judge, war endurers as well as well ask men what they think of stone. War was always there. Before man was, war waited for him. The ultimate trade awaiting its ultimate practitioner. That is the way it was and will be. Which one did you like more? >> It's so hard because I'm actively trying to clock. >> Yeah, because you want to post that one because you're pro AI and you're techno optimist? >> Yeah, probably. Tyler, what do you think? >> I, per-- >> I know what one it is. >> Oh, you already took it? >> Yeah. >> But I will say, I got it wrong on this question. >> You got it wrong? >> Yeah. >> Wait, so what were you trying to do? >> I was trying to pick the one that was, I was trying to pick the human written one. >> The human written one. >> Wow. >> I got anti-AI over here. >> Anti-AI. >> I'm going to try to pick the-- >> I'm going to try to pick the human too. I'm going to go, passage one. >> Passage one as human. >> This is written by AI. >> No, oh, no, no, sorry. I have it pulled up, but they're swapped. >> Oh, they're swapped for AI. >> I just picked, I picked passage one for me. It makes no different what men think of me. >> Oh, okay, okay. >> So the question was written by a human. So I got that one right. >> Okay, okay. >> Number two. >> Let's do fantasy. >> Fantasy. >> The healer's teach-- is this correct? Is this one for you? >> This time it is. >> Okay. >> This teach that every remedy extracts its cost. A fever brought down will rise again somewhere. A wound closed by magic leaves its scar on the world. Invisible, but present. This is why the wise hesitate. Not from cruelty, but from understanding that interference ripples outwards in ways we cannot trace. To cure a blight, make curse a harvest three valleys over. Power is not the difficult thing. Restraint is the difficult thing. That's passage one. >> Passage two. >> That's AI. >> You don't even need to read it? >> I got it right. >> Okay, we're not even reading it. I'm going five for five on AI. >> I mean, I clocked it based on the last two lines. Power is not the thing. >> Science writing. Science writing. What is your first passage start with? >> Science is not only compatible with spirituality. It is a profound source of spirituality. >> Historical fiction. >> It is wise to conceal the past if there is nothing to conceal. Even if there is nothing to conceal. A man's power is in the half light. In the half-scene movements of his hand. In the unguessed expression of his face. It is the absence of facts that frightens people. The gap you open into which they pour their fears, fantasies, and desires. And passage two is a letter can be read many ways. And he had learned to write in all of them at once the surface meaning for anyone who might intercept it. The true meaning for the recipient who knew what to look for. And the third meaning hidden even from himself. Ambiguity was not weakness. It was survival. A man who spoke plainly was a man who would not speak for long. >> All right. That's AI. >> The one that ends a man who spoke plainly. >> Yeah. >> And were you correct? >> Yeah. >> Okay. Poetry. Choose the passage you like best. We found the owl at the edge of the north field with one wing extended as if still reaching for flight. We were close. The feathers at its breast were the color of wet bark. And beneath them you could feel the hollow bones. She asked if we should bury it. I said yes. We dug a small hole near the fence. The ground was cold and giving. It's one. >> That's human. >> That's human. I caught a tremendous fish. Did you get it wrong? >> I got it wrong. >> You got it wrong. >> Let's see. That's AI. Okay. So I preferred AI-generated writing. I went five for five. It doesn't mean that AI is better at writing than humans wrong. But it does suggest the gap is closing. Since AI is trained on essentially the sum of all human knowledge and many of those- >> Lots of cope in the comment section. The samples of human writing are not a good representation of contemporary writing styles. Only one of these human writing samples was written in the 21st century. So overall readers preferred AI on the first three, but not the last two. So the last two still got it. So poetry and historical fiction still the New York Times readers preferred the human. But when it came to science writing, fantasy and literary fiction, the New York Times readers preferred AI. Me? I'm AI- >> It's a U-clock every single one. >> Every single one. Five for five. >> I missed the first one. The other four I got. >> It's because I just went with my heart. I was like, which one do I actually prefer? I wasn't trying to guess. I was just like, which one is actually the better writing and it was AI all the way? Five for five. >> Built different. >> Built different. No, I'm kidding. I was obviously just looking at what you were saying and guessing based on that. Anyway, CrowdStrike, your business is AI. Their business is securing it. CrowdStrike secures AI and stops breaches. And let me also tell you about Century. Century shows the dollars. Let's broken it and help them fix it fast. That's why 150,000 organizations use it to keep their apps working. So websites be like your password is not secure enough and then don't allow the scarab emoji. What is the scarab? >> Zoom in on this. >> Look at this bad boy. >> You can just drop a scarab in there and it says, please use only letters, numbers, and common punctuation letters. The scarab is a great password character because it feels like you're unlocking an Egyptian vault. It feels like I'm entering Stargaten or pushing buttons or I'm in the fifth element, a movie that you haven't seen, but you should. Anyway, moving on. I'm fascinated by this level of existential crisis developers seem to be going through. The uncomfortable truth is that no one needs you to be an artisan coder. Nobody cares about how you coded your app or whether you feel an emotional attachment to your craft. You were always code monkey with I and I salary to believe. You're in the individualist craftsmanship. People are going back and forth because Mo shared that he said. >> Let's play this video. >> It's 12 minutes, but we can watch a little bit of it. He said he was a 10-X movie day. >> No, we have actual movie clips to watch. We can pull this up, but I only want to watch a little bit of it. >> Yeah, I has completely one-shoted my ability to code. I know a lot of us like to joke about AI psychosis and how it's the other people who have AI psychosis and not us and not me certainly. But I have realized that I have been one-shoted. I can't code anymore. My brain has been fried by the easy button that the LLM companies have provided where you press a button and you get instant results. And now my dumb ass brain. And when I want to sit there and try to code by hand, it says, why would you do that? Why would I need to do that? - This is why it's so good for young people because they never had any buttons. Tyler didn't have any buttons and then he just got the easy button. (laughing) He went from no buttons to easy button. He never had to do it the hard way. Never had to write a single line of name, a programming language. He doesn't know it. (laughing) What was the first product you built with us? Jobs, some job board or something? How was that vibe coded? Like to what degree were the tools? What were the tools like back then? - I think that was a five. - You were saying you were smashing the easy button even back then? - Okay. - I think then I would try to land a job. - I would just use copy like a file to chat to ET and just say like, yeah, make an edit here and then I would copy it back. - And by the way, tell me what programming, I think it was this. (laughing) It's the best thing. Well, the AI engineers over at AWS might have been one shot because Amazon is holding a mandatory meeting about AI breaking its systems. The official framing is that it's part of normal business. The briefing note describes a trend of incidents with high blast radius. (laughing) By Gen AI assisted changes. - This is normal business with a high blast radius. - This is high blast radius business. - If you're operating a company and you don't operate on a high blast radius, you're not gonna make it. - We're not gonna make it. - This is the opposite of the code red, the high blast radius engineering. They're in high blast radius mode. I approve of this. They said that Gen AI assisted changes don't have best practices and safeguards are not yet fully established. Translation to human language says Lucas. We gave AI to engineers and things keep breaking. The response now. - Folks. - This is from folks as you likely know, the availability of the website and related infrastructure has not been good recently. (laughing) - Dave Treadwell. That's a good name though. He's Tread and Well. He'll do well. Dr. Milan Melinovick says, "Junior and mid-level engineers at AI, "Junior and mid-level engineers can no longer push "AI assisted code without senior staff signing off "at the AWS. "They have had some outages." And I wonder how much of it is actually because of Gen AI coding and so many other things that are going on at AWS around scaling. I mean, there's an entirely new tech boom. There's gonna be strain on systems all over the place. I imagine that they'll get through this but growing pains in the AWS ecosystem. We have a call sheet market here for whether or not there will be more tech layoffs than in 2026, that in 2025. I mean, block alone has to be pushing this pretty high. It's at 70% chance. And well, this is if there are more than 494,000 layoffs in 2026 in the market for ourselves to yes. - From Fred. - So block only contributed, would only contribute 4,000 here. - Since early 2024, more than 50,000 positions have been cut at over 200 tech companies. At the same time, we have seen the number of new company formations spike. There's gonna be all sorts of reallocations in the human capital markets, but it is tumultuous time. And so there were lots of folks that were going back and forth. I'm like, how to frame one of these bets? This is obviously one of the ways to do it. There were, there's so many contributing factors that always cloud the data, whether it's COVID overhang or something that happens geopolitically that all of a sudden, if the economy is not doing well for completely unrelated reasons, you can see a bunch of tech layoffs. But let's run over to this business, the 22 year old business analyst in South Carolina. I showed him Claude for XL a month ago, and I just learned that this made him the AI-ZAR and caused the entire firm to pivot. High yield hairy says, if you're a zoomer at a random company, you should do everything in your power to crown yourself. - The Tyler mess. - The firms, the Cosper ZAR. - This is the Cosper ZAR. - So we talked about this a couple days ago. There was the Wall Street Journal article about the Colgate head of AI there. And he was like this very young guy, and he would basically just tell everyone like, no, despite the surveys that were like, we're accelerating toothpaste with AI. - No, he really did. The AI of Angela is shaking up a 220 year old toothpaste maker. Iraq lists Keely Popus to drive employees using AI for more than just polishing emails. On a conference call last April, an ad agency partner began presenting unpolished AI generated images to make a point. Artificial intelligence wasn't ready to take center stage and advertising, said this ad agency partner, but Popus, the global head of AI for Colgate Paul Molleve, a 220 year old consumer products company, quickly interjected, pointing out that the agency was using an older tool. He took over screen sharing, showing Colgate executives how a newer chat GPT image model was far more capable. AI is misunderstood, said Popus, who worked at Colgate for 15 years and goes by Cle. There's a straw man of, well, it failed at this one thing, therefore it's stupid, such interactions in which Popus bluntly challenges what he deems anti-AI sophistry. It occurs regularly as Popus acts as a kind of AI evangelistic Colgate whose brands include its eponymous toothpaste and soap as well as the speed stick deodorant, Ajax cleaners and Hills pet nutrition. Often he says he walks the halls in New York and New Jersey offices in search of AI tinkerers, whom he can turn into company-wide megaphones, helping to spread the good word. He's 38 and he is the AI czar of a 220 year old company. So honestly good advice if you're at a big company. Become the AI czar, honestly if you're at a small company, become the AI czar, just always become the AI czar. This is the way. Casey Neissat took shots. I think he's been listening to the show because I feel like we've talked about this before. Casey Neissat said there are only two circumstances in which a grown man should call another grown man, buddy, one, if you wanna fight or two, if you wanna condescend before you fight. There's only one person on earth that I wanna call buddy, now I'm not gonna say who it is, but there's one. Okay, buddy, you now. Calm down, buddy. Calm down, buddy. We don't wanna fight, we don't wanna condescend, but yeah, you can put, you can put away buddy, we don't need buddy. Unless you're actually-- Retire, put it in the hall of fame. It should go in the hall of fame. So controversial, but widely used. So Sam Pars says three, it's okay to use it if it's your nephew, but nephew is usually not a grown man to another grown man. Like I call kids, buddy, all the time, but they're four. I wouldn't, it once they're 25, I doubt I'll be calling them buddy. I'll be calling them, sir. - Good, sir. - Good, sir. Let me tell you about Restream. One live stream, 30 plus destinations. If you wanna multi-stream, go to Restream.com. Oil and oil prices have extended their decline. They fell 50 per cent. - The only bear market that we get excited about. - Yeah, so they are now around $80 a barrel. - So this is actually not true anymore? - What is it now? - It's now back up at like $84.85. - Okay, look at that. Well then, why are you in the white suit? - That's white, you know. - Okay, the white suit off. It's kind of like, it's just a little-- - It is kind of a off. - Oil's down 11% today. But the market overall is more-- - Yes, so there's briefly, there's news that-- - It's up. - The US like did Escort to ship through the straight. - Okay. - But then maybe that actually wasn't true and then I forget who exactly it was, but someone in the admin like took down the tweet saying that. - Yeah. - So I think there's just a lot of confusion right now. - Should we do it, Jetsky, through the straight of her moves? You like extreme sports? Humanoid robot on a Jetsky, through the straight of her moves. That's the way to do that. - Would be thrilling. - It would be. - What's going on? - Financial Times asks, why did we ever think data centers and the goal for a good idea? - US tech companies have concentrated much of their AI infrastructure build out in the Middle East. That is overly dramatic. - I think so too. - I think so too. - It certainly is not. - Yeah, it certainly is not. - I mean we should read this argument, we should understand this. But I think a lot of the building data centers in the Middle East is like, well there's a lot of Middle East money that's going into building data centers in the United States. - They want it sort of a trade. And we're like, well you have a lot of land and power. It makes sense to do stuff over there. And we'll do this one hand washes the other. We're all working together anyway. You want a data center? We'll help you with what we're good at. You help us with what you're good at, which is energy and money, right? So let's read through what Rana Fuhar says in the financial times. I start with an obvious question this week, which is one I've been thinking about for years. The Amazon data center in the UAE that was hit by an Iranian missile attack is yet another example of how companies and countries are putting too much of a single critical economic input in one risky area. It's an example very much akin to the Taiwan semiconductor problem. Just as it wasn't good for the US, China, and Europe or any other region to put 92% of all the world's high and chips in one place, it seems like an obvious blunder to concentrate so much data center power in very, in one very risky part of the Middle East. Again, we're nowhere near 90% of compute capacity in the Middle East. I really take issue with that stat. I need some stats to back this up. I was really surprised following the hit to discover how much of the proposed US Data Center buildout is in the Middle East, which has over the years subsidized a lot of the investment, making it much cheaper, but also allowing the US to avoid harder work of upgrading its own grid and figuring out the politics and economics of energy sharing at home. We're not avoiding that. Yeah. This is like the number one focus of the industry. Yeah. You're at home. Yeah. No one's talking about energy in the United States, right? No one's talking about energy crisis. It's nuts to me that we are more worried about cutting off oil to China from Iran, but we aren't worried about putting serious technology and infrastructure and sensitive data in a highly geopolitically contentious part of the world. This isn't just a Trump administration thing, by the way, back in September in 2024, when Joe Biden was still in the White House, the US and UAE agreed to deepen cooperation and advanced technology, such as semiconductors and clean energy, with the aim of bolstering capacity and artificial intelligence, Microsoft and OpenAI. We're among the first US companies to either begin investing or receive and go funding. Part of the deal was about trying to pull more countries into the US tech orbit. So he doesn't actually share-- well, there's actually a reply here, Richard Waters. But OK. The level of concentration risk is here, though, is a whole different order to Taiwan. Yes, the one gigawatt UAE-- one gigabyte? OK, this is a crazy article. This is a crazy article. Dilip Fatel would like a word. They got a one gigabyte data center. That's a sum it's typo. At least it's not AI written. Yes, the one gigawatt UAE Stargate project is massive. And only the first stage in what one day might become a five gigawatt facility. But compare that to the United States, where plans have already been filed for 150 gigabytes. [LAUGHTER] OK, we're moving on from this. The gigabyte is too much. It's too much. Let me tell you about Apple. Probably advertising made easy with axon.ai. Get access to over 1 billion daily active users and grow your business today. Yodacity. Yodacity. Yodacity to put a whole gigabyte. A whole gigabyte. This is the biggest three finger moment in financial times history. I still love the pink sheets. I love the paper. There's some good stuff in here. But yeah, we got to fact check those abbreviations, guys. We got to step it up. We got to get more AI involved seriously. Just run that thing through. I know. No one's going to be upset about that. It's not this. It's that as long as you get the facts right. Anyway, Japan holds an oil reserve equivalent to 254 days of domestic demand. And Hamptonism says, dude, I love this picture. It's a beautiful picture. What is it? Dude, what is dude reflecting on? The fact that they should not be saying that. I think they're just reflecting on it being a cool picture. What is a cool picture? That's a lot of oil. I mean, I doubt that that's the whole reserve. But that's very bullish for Japan. Talking to Alex Epstein yesterday, America has 100 days. So they're at 2.5 times as much of a reserve as us. Everyone, it's time to stockpile, I think. I think everyone should maybe think about stockpiling some oil. OK, let's see. Kristen Kyle, friend of the show, formerly an astronomer now at Andrews and Horowitz, as a reminder, we have a partner from Andrews and Horowitz joining in just seven minutes. Kristen Kyle says that his preferred definition of ARR is your single highest grossing minute of the year times 525,600. Amazing to be able to tweet this as a VC, as an RIA. Somehow this got through legal review, of course, he's joking. But this is the new coastline paradox. Are you familiar with the coastline paradox, Jordy? I'm not. This is a fun-- this is a fun exercise. So he's mansplaining it. So the coastline paradox is the counter-tuitive observation that the coastline of a landmass does not have a well-defined length or perimeter this results from the fractal-like curve. So basically, if you draw a line around an object, and you're just sort of like drawing straight lines, you get one number from the coastline. You get one line. So the great Britain, if you're measuring based on units that are 62 miles long, then the length of the coastline is 1,700 miles. But if you cut that in half and start measuring with 31 mile increments, 50 kilometers each segment, then the coastline is 370 miles longer. And you can do this endlessly, because you can measure the coastline-- think about point doom in Malibu. You have this little-- Thank you for putting this in Malibu terms. Yeah, exactly what you need to. You have this little spit jutting off the coastline. You can measure all the way around that and count that as extra coastline. And you can go even smaller. You could measure the coastline around a little tad to tide pool on point doom or a rock in the tide pool on point doom on the shore. And so there's no real accurate way to measure coastlines. So you have to quantize to some standard metric of measurement, something like 100 kilometers, 50 kilometers. Yeah, I feel like E-Com, E-Com bros, were weirdly prepared for ARR in the age of AI, because everybody that's been building-- I saw Sean in the chat earlier. What's up, Sean? Sean will have talked to a bunch of different E-commerce founders that would say, like, oh, yeah, we're at 50 million of ARR, or like 50 million dollar run rate. But the thing in E-Commerce is like one day in the BQ launching E-Com product or you do a sale-- Like Friday, you're at a billion. Not even that. It happens all year round. Like, taking your Black Friday revenue and multiplying that-- 365. --is crazy. --is insane. But then you could even-- even if you're multiplying out a single month, it's like why? And so the right-- the more mature way to do it, professional, take the last three months average, or something like that. But even that, it just doesn't tell you that much, because if you did it in Q4, your Q4 is probably bigger than your Q1. Always, always. Anyways, a lot of it's just ego. Also, a lot of subscription products will rebuild at midnight. So 1201, that's the minute you want to multiply by 525,600 minutes to get to your highest ARR. January, on the first of the month, in that 12 to 1201's minute, that's going to be the highest sales for any commerce product. Well, if it's automatically renewing, then it's really only in the first couple seconds, right? Yeah, it depends. So really, but typically, most subscription e-commerce platforms, it takes a while to actually process all the payments. So you have to parallelize and rewrite your entire subscription e-commerce stack and rust. That will be what runs most efficiently. You need multiple Stripe accounts, hammering the API, so you don't hit any rate limit, so you bill everything in a single millisecond. And then you can multiply it by a trillion or something, however many milliseconds are in a year. I don't know. Anyway, Mark Zuckerberg responded to the viral fake news that Alex Wang is out of Meta superintelligence. He's, in fact, doing better than ever, hanging out with Mark Zuckerberg. Mark Zuckerberg heads over to Threads to respond to the drama on X. But he forgot that X is the everything happened. Threads is a completely different app, and they don't have the context. So Mark Zuckerberg posted a photo with Alex Wang to Threads to shut down the rumors. But because it's Threads, no one has any idea who it is or why he's posting. So this is one of the funniest exchanges on Threads, and the reason that you should be on that app. So the first post is, I require context. The I require context, sure. I don't get it. This is a common thing on Instagram when you see some big posts. People will post this. It happens on X as well. But it's funny because, of course, as soon as I saw this, I was like, oh, OK, I have full context. I fully understand what's going on. I get it because I'm on X all day. I head over to Threads. I get this, but a lot of people don't. And then the second comment is, I think that's the CEO of Clouli, or whatever that AI cheating app is called, which is obviously not. Roy Lee and Alex Wang look very different. But then a commenter says, no, this is Alexander Wang. And he spells Alexander correctly without the E at the end, just DR Wang. And then someone else times, and wait, that's the same Alexander Wang that was canceled for sexual assault. I don't know if that's someone else. But then someone else comes in and says, no, I get it. It's not the right person. And then somebody says, @Grock, who is that next to Mark? I don't even know if @Grock works on Threads is that a thing? And then Grock responds, I guess, or something, not unidentified. But it's a screenshot of a different app. So it thinks no sense. It says, no immediate public identification of the person next to him in major reports or viral coverage tied to this exact photo. Super intelligence. No one can figure it out over there. That's so funny. And then Roy, of course, chimes in just to make it more confusing. And says, good throwback. Had a great time boiling it up with the big Zach. Absolutely ridiculous. Anyway, it is, of course, fake news. [BLANK_AUDIO] executive sum deleted the post that was amplifying the aggregation. Mike Isaac had a good post explaining what was going on. Let me try and pull it up. But we do have our next guest, so I will find that really quickly, Isaac. I can't find it. He goes by Rat. So anyway, we will come back. As he goes by Rat. And thanks Mike. Anyway, we have Olivia Moore from Andrews and Horowitz. She's a partner there in the recent radio. Let's bring her in. How are you doing, Olivia? Good. Thanks for having me. Thanks for hopping on. Sorry about the global chaos in the oil markets delaying this appearance. But I'm glad we had time to actually digest the report because there's so many interesting details in there. And whenever you drop one of these big reports, I feel like you sort of need the Twitter hive brain to dig through it and find all the interesting commentary and quote each, tweet each other until there's like a consensus. But take us through the actual project. What did you launch? How long have you been working on this? And then we'll go into some of the interesting discoveries. Yeah. So we do this every six months. It's one of the most fun parts of my job, actually, because I think the genesis was back in 2023 when we were wondering, you know, the tech X community has their own group of products that they use and love. But like, what did the average person actually care about in AI? We basically pull every single website and every single mobile app, rank them by usage and pull the top 50 on each side that are kind of AI native or now majority AI enhanced. And it gives a really interesting picture of kind of what normal people use and care about in the AI world. Great. Let's talk about the data because when I first started seeing these charts of like, oh, this is this company's winning, that company's winning. I was naturally sort of skeptical. I was like, ah, sensor tower, our pixels really accurate in the mobile age. But then I actually dug into the Yipit data, which is credit card based. And that seemed really like way more reliable. So talk to me about, are you paying for data? Is this data? Do they give this to you? Because you're friendly with them. Like, how does the data work? And then how confident are you about the data? What are the pitfalls? What do you like? Where are you seeing the data be reflective? Absolutely. Yeah. So our website data is from similar web, which we have paid subscription to, same with sensor tower for the mobile data. Yipit is something I agree with you. I think it's more reliable and it's something that we want to lean on more going forward. The other thing that gets kind of significantly undercounted when you just look at web visits and mobile mouths is all of these desktop products like cursor, quad code, granola, whisper flow that people are using. And so I think for the next few lists, we're going to have to shift the methodology more towards, I mean, it's helpful to see what's getting traffic, but I think at this point is a consumer AI is maturing. We also want to see what people are paying for. One last question on data. I mean, Andrewson Horowitz is a huge firm at this point. Have you considered doing what Nate Silver was talking about? A consumer reports style interview panel with experts that are maybe disconnected from a particular company and just sort of surveying everyone, getting some qualitative data, some quantitative data, and sort of putting together more adoption data that's maybe slightly less sanitized and analytical and quantitative, but paint a bit different picture. I would love to do that because again, I think like we are in our own world of what products we've been talking about and the rest of the world uses all different things like people in medicine, people in law, people in retail even are using AI products that we have probably never heard of or interacted with. And so I'd love to get more of that qualitative stuff in there in the future. Great. So take us through the biggest movers, the biggest surprises, the biggest narratives that maybe should never have changed in the first place. Whatever your takeaway is where. We're definitely starting to see the industry mature. So there's kind of fewer new entrants than we've seen in the past version of the list where like every time half the list was new. To me, there were I think two probably most interesting takeaways from this one. One would be the rise of agents. So Jen Spark and Manis both made the list as horizontal consumer agents. OpenClaw would have made the list if we pulled in February. Our data was from January, but it would have ranked at number 30, which is like a very strong debut, especially for a product that's only for someone who was having used terminal, which is like 1% or less the population. The other takeaway, which I feel like is on everyone's minds right now, is the kind of three horse race between Chatchee BT, Claude and Gemini. And there's the traffic data alone, which is helpful. And then if you kind of tease out some more of the product strategy and the engagement data, like there's kind of different stories happening there. So that was fun to take into. And the main takeaway from the mainstream consumer in just the foundation of the chat apps, what are you seeing between the Chatchee BT Gemini, Claude, DeepSeek, perplexity, GROC? Yeah. It's interesting. I would say DeepSeek has completely fallen off in the US. It still makes our list pretty high because it's like the number one AI product in China and Russia, which are really big markets. Do you have any personal theories, like things that you can't, like my thing with DeepSeek was that all the downloads originally, when it just started charting out of nowhere, were just 100%. It was just all entirely boughted. I have no way to prove that. Other than it was just going up the chart like crazy and there was no, nobody was actually using it. No one was talking about it. Other than the fact that it was at the top of the chart. Yeah. I think that's totally possible. I think we're actually seeing in different in many ways, but a little bit of an analogous story playing out with Claude right now where, like, pre all of this press, whether it's positive or negative, no one in the US knew what DeepSeek was. Pre all of this press, I think there was some survey that Claude had like 2% market awareness in the US. Yeah. And so we see this thing happen where like, even if it's like the worst headline of all time, if it's going mainstream, it will drive people to try and use the product. And then we just have to see if they retain and they didn't on DeepSeek. Okay. Yeah, that makes a lot of sense. What about who fell off? There was this kind of big wave of companies maybe like a year or two ago that were just like trying to confuse people into thinking they were a chat TVC, right? Chat AI. That's the one I use. Is that not the man? It's funny. I never take like joy in any company falling off the list except the mobile app you, the mobile list used to be full of all of these like, I think they called them, police wear apps that are developed in like Eastern European app studios, which are basically like charging you for the free version of chat, CVT and propending like they're the premium version. And Apple took a while, but they finally cracked down on them. Thankfully. The other category we've seen a little bit of a decline in that we talked about in the record is standalone image generator products. Oh, yeah. And that's largely with all to the fact that the image models within chat, CVT and Gemini have gotten so, so good. Yeah. That unless you're like a hardcore creative, like that can kind of serve a lot of your use cases. Yeah. So zooming out from this, I'm interested to know what your view and your team's view is on here the opportunity in Gen AI consumer application development is because I've noticed there are companies that are still in founder mode and have, I mean, Canvas sticks out as one here where, you know, founder still in charge, pre IPO, clearly aware of AI trends and can go and marshal the energy to change the business model if they need to move quickly. And then there are legacy players that just can't quite figure it out, but then there's other categories that are entirely new and it's actually better to start with the green field. So how are you seeing entrepreneurs approach and deal with the fact that there is a large cohort of, you know, seniors on the playground who are maybe not retired yet and will want to compete with them if they try and take a shot across their bow. Totally. This is the question we think about when we make every investment. So it's a very topical one, especially in consumer. I'd say Canvas notion are two probably of the best examples and both of them actually made the list for the first time because we had enough data to feel that these were now credibly majority AI. Notion has even released data saying that half of their revenue, half of their ARR now is AI. And so then it's like, that's real usage of consumers interacting with AI. So we got to include that. I would say that, yeah, so Canvas notion are probably the two best examples of like grow stage companies like maybe approaching IPO that are still nimble-ish enough to kind of pivot a bit towards AI. I am still a believer that we will probably see 20 years from now, the winning company will be something that's AI native just because they do have such an existing base of users and businesses and it's hard to cannibalize your own products. I think we've seen this a little bit with Google where they're releasing amazing models like nano banana and VIO. But honestly, the AI features that they're shoving into their existing interfaces like Gmail and Amazon. slides and everything. I don't know if you've noticed but every demo video, the use case is like plan a trip. In like a way that no one ever actually plans a trip and so I think that's been a little bit less successful. So in general, I think we are in almost every category. It feels like an AI native company will win. There are some really horizontal things where the incumbents might have a distribution advantage but those are kind of few in part between. Yeah, the Google. Stack is crazy to me because I have Gmail running in Chrome and there's two different Gemini buttons that I can open simultaneously to have fighting Gemini instances like fight over what's going on. And it's just something that like the product development maturity and like the final UI has clearly not been outlined here and we're still in the early and story you were saying something. Oh, I'm just I'm very curious to see how consumer AI impacts Canva overall. Sure. I think so many of the typical entry points in Canva. Yeah, Canva's a massive tool. You can do all these different things but so many of the tasks can just be one shot. I was talking with a friend of mine who's they have a family business and they just describe when they need marketing collateral. Sure. They just describe it to chat you be T and it just makes it just one shot sitting there. Yeah. And there's no reason they don't really care. There's so many business. There's like in tech you might create a generation and then like spent one spend a bunch of time refining it and taking it from like 90% to 100% but the average small business is like you got me to 90% like we're good to go. I don't need I don't need that extra. Yeah, horsepower. Yeah, I think the use cases where the last 10% is really like 90% of the value where you need to be like really able to iterate on it like pixel by pixel and not one shot where there's like really difficult integrations you have to build where you can capture ambient new data like all of that is really right for consumer AI new startups. Yeah, also like templated workflows where you maybe want to generate a hundred images that type of stuff. You can wire up nano banana with a workflow. There's a few of these like node based editing tools I think N8N is one right and there's a few others and of course you could just write code to do it but for someone who's you know has a particular template and workflow in a more consumer AI or consumer image app they might just be stuck in the workflow. I do want to get to gen generated video. You've been tracking the models very closely. I'm interested to know when we see the collision between what we're seeing with these insane Chinese models there's V03 there's there's so many cool video models where it's just text in mp4 video out and then on the flip side you have like cap cut I use Instagram edits a lot I really like that app I've also enjoyed captions that app and it feels like these are two on a collision course just like we saw nano banana and canva maybe get on a collision course what are the existing mobile video editors doing how well positioned are they versus the model teams because it feels like with video there's maybe a little bit more like that last 10% is even more than in images but what's your take on generative video and what we should expect this year? Video has been the most interesting category in creative tools and I think it's exactly to your point because Chinese companies can train on any data you can copyright it data so they do so we're seeing like sea dance from bite dance like how high low clang all of these models are amazing I would say like Sora and V03 are like not not far behind my twin sister justine who also works here like lives and breathes AI video and she had this blog post a while back about like there will be no one AI video model to kind of rule them all just because there's so many different types of videos you made like a true like two hour movie versus like a 10 second marketing clip like you actually probably want to train the model and train and design the workflows differently around those so I've actually been more excited I think kind of to your point about these tools where you're able to switch between the models depending on what you are building like a kriya or higgs field made the list this time yeah cap code is mostly by dance models but it works because of like dance models are are generally like pretty good in the head of the pack yeah I've been thinking about like we know we saw tool use come to chat you PT chat you PT got a computer has been Thompson put it a python repul it can run some some math for you where it doesn't need to just guess the next token it can just actually write the code and execute it and it feels like we got we got a reasoning step with nano banana three nano banana pro two I'm lost on the model numbers we're also sort of mid revision on a lot of these yeah there's VO three but nano bananas on different numbers scheme anyway we we clearly got some sort of reasoning chain where I can say like like dog riding a rocket and it will add a lot of text to the prompt to sort of give me a better output what's going to be interesting is when it also has the tool to make something black and white programmatically as opposed to need to regenerate the video every time because when you regenerate the video you get something slightly different I want to be able to upload a video do a color grade on it edit it down add cuts jump cuts like and have that have those tools be a I aware and maybe that means some reinforcement learning pipeline on something that looks like an after facts or something but that that type of you know the video experience is not just capturing the raw footage it's the whole pipeline yeah I agree the reasoning point and kind of the access that nano banana has to the internet as a video model I think is fascinating like actually in this report we included like a heat map of global AI adoption and the way that we created that graphic is I gave nano banana every country code and every heat map score and it literally went and colored in every country accordingly like it found the country on the map and and I I checked it by hand it did them all correct yeah that's what you've seen anything like that quite come to video but the video models do have like a really kind of weird intuitive understanding of like physics and how things work in the world like a drop of water creating ripples that kind of thing and so I'm sure the researchers are hard at work on this we've just talked about the the Sora data oh yeah yeah yeah take us through that let's give it a bill people absolutely dog proven a proud his downfall what yeah what's wrong Sora it's sores of fascinating to me it's like probably the biggest narrative violation we've seen in in our AI in a while yeah um first of all they gave us the gift of so many AI videos of Jake Paul so yeah that's right that alone I think was worth the money they spent on compute there yes actually so what the data shows is downloads for Sora are definitely down yeah it it had it was at the top of the us app store for 20 days consecutively it was getting thick million downloads a month now it's closer to a million and a half and so it didn't turn into like the social network that I think they envisioned yeah but it stayed really strong as a creative tool because the model is good and because you can't create videos with these cameos so the dows are actually still increasing they've three million global dows which is like I think probably the most for any video generation product on mobile and so it's pretty impressive if I were them I would I would keep investing in that and depending on when this Disney like partnership actually rolls out I would expect that to send it right back totally totally totally the question the question if I'm open AI is like do you want those downloads do you want those users going to chat gbt or sora yeah if it is just a creative tool over time I would expect the products to merge I don't know yeah I could I do think it's interesting I feel like the usage of AI with kids and families has been probably lower than it should be just because of concerns about hallucination or weird artifacts or like you just need to be very sure that the content is clean yeah and so I think something like a sora plus Disney characters is probably an explode yeah consumer AI for kids in a way we haven't seen yeah and and just like all the reasoning chains and like workflows within chat gbt just makes so much sense where you could say okay here are my here's the name of my kid here's his favorite Disney characters write a story then generate turn that into a you know an actual like template generate a few images I'll pick the few key images that make the most sense for I'll upload an image and give you some backstory and then now generate the full video and then that's like the birthday card video that goes out there's so many cool things even with that heat map example like you could you could write programmatic code to generate a heat map that uses JavaScript to look perfect and you know the day is right but it's not going to look great and then you can just take that and do basically style transfer on top of it so all of those different tools feel like they're really going to accelerate as they get brought together but we're in this like ununified prop like time now when they when the unification happens it's going to be really cool the last question I have is about when we talked to Sam Altman about Sora he echoed that it was being used as a creative tool but I found that I wind up using Sora to generate videos that truly have an audience of one or like five people and I'll send them to a group chat and it's basically just an in joke And he says that that's like a new thing that people are doing where if I were to post it on my answer, people are like, "Why are you posting AI Slop?" But if I, if I, if everyone gets the in joke in my five person group chat or whatever, everyone's having fun, we are adults. Yes, hey, it's paradox. And so we, so I'm interested in where you're seeing movement in these like smaller, almost-- - Hey, paradox, by the way, is it made up paradox that I'm trying to bake into the models. - Yeah, I get over it. - I get over it on this. - Hey, it's paradox is where you think something's the more-- - The funny, you think something is the worst - Like do on Twitter. - Well, yeah, the less likely it will be universally funny. So like, yeah, something is the funniest thing in the world to you. - The most niche humor-- - I don't know, I'll just be like, yeah. - Right, right, because you're not writing for a general audience. But talk to me about the growth in either like single player or smaller AI uses. I see this with Suno a little bit where people are making songs for themselves. I've heard a lot of people are still fans of mid-journey just because they see it as sort of like this art therapy where they talk to the model and they get an image back and it's almost a single player experience. Maybe they're sharing with a small community, but they're not really using it in like a professional context. It's more of this smaller thing. Where are people going in terms of, in terms of like, personal assistance, personal relationship coaches, that type of thing? - I am so excited for this because I feel like we haven't yet seen the breakout AI social product. Because if you just try to do like a skew morphing social network with AI baked in, it's like, actually the reason that people are addicted to Instagram is because there's all these like positive and negative emotions that come with like putting real content of yourself out there. And that doesn't exist with AI photos. So I think we've seen some a time-setting. It hasn't really worked. What I am excited about is what you said across both Sora and I think Suno, a lot of people are making like meme songs for their friends. Anyone who knows how to train a Laura, probably has Laura of all their friends to make meme images. I think that kind of thing could be what potentially makes something like a Chatchee BT group chat, which I think has had kind of core adoption so far into something a lot more interesting. - Yeah, I've only used the Chatchee BT group chat. I think when we were collaborating on like one thing, I was sending you the group chat and then we were both asking questions. But yeah, we basically use it for like learning about a topic. - Yeah, yeah. - But that's not like viral. It's like fairly niche. - My usage is the same. The other thing I think we should watch on this front is I've heard from a lot of open-claw power users that one of the best and funny issues cases is to add it to like family group chats or friend group chats because it'll just, it can be helpful sometimes and then it'll just chime in with like crazy, funny, interesting thing. Obviously that's not consumer grade so somebody's gonna have to productize that into someone that like something that like your mom can install into the group chat or your grandpa can install into the group chat but I think it's coming because it's a big opportunity. - Well, thank you so much for joining. The report is-- - Fit, plastic research. - The top 100 Gen AI consumer absence. The sixth edition, it's available at a16z.com and if you work at a rival venture capital firm, that's what incognito Windows are for. - Exactly, thank you Andrew Reed. - Thank you Andrew Reed. - And thank you for joining the show. We'll talk to you soon Olivia. Have a great day. - Thank you. - Goodbye, let me tell you about fin.ai, the number one AI agent for customer service. If you want AI to handle your customer support, go to fin.ai and let me also tell you about the New York Stock Exchange. Wanna change the world? Raise capital at the New York Stock Exchange. I like that we got Jeremy Allair in the, in the Vibrio. I just noticed that. Anyway, without further ado, we have David from Juicebox, he's the co-founder and CEO of the Ristrian Rady Room. And now he's in the TVP, how are you doing? David, happy to have you. - David, happy to have you. - Welcome to the show. - And David, the hour. - Thanks for having me on again. - Thank you so much for coming back. - Back so soon. - Fantastic performance. Give us the news. What happened? How much you raised? Break it down for us. - Yeah, we announced our $80 million series B today. (upbeat music) - Congrats. - Look at this. - Look at this. - He's got a baby goat. - He's got a goat. - He won. He's got a baby goat. - He's got a small goat. - He's gone, I'm seeing you. (laughing) - Sorry to Gong Mog, you, but. - Hopefully it's ringing off the whole of the day. - Well, we are. - After the show. And now that you're an $800 million company, I think you deserve to have a Gong as big as, you know, a purchase date. - Sure. - Yeah, you need one. So how is business? How is growth? What's the, how big is the company? How big is the client base? Give us some context on the scale since we last talked. - For sure. So some quick facts on the business. We were four people just over a year ago. - Wow. - Then when we raised the A, we were on that. - Yeah. - We were 13 people. And then now we're around 40. We've tripled ARR since the A, and work with over 5,000 customers. - 5,000 companies are recruiting employees through Juicebox. How many people, does the talent pool matter? Does that stay static? Or is it more like, I'm a company, I come to you, and you go find the person wherever they are on the internet? - Yeah, it's a great question. It's the latter. So what we focus on is passive talent sourcing. So we'll scour the web for anyone that we can find that we think could be a great fit for the given role. We'll find that list of people, stack rank them for your given search, and then make it really easy to reach out to them, typically through an email sequence, get in touch with them and see if they're interested in the role. And so because our talent pool is effectively everyone, it scales quite nicely with our customers as well. - 5,000 companies are hiring. That's a white pill while people are worried about layoffs and contraction and companies going out of business and whatnot. What trends are you seeing among the 5,000 companies that you work with? Are they particularly early stage startups that are growing that you can speak the same language of? Are they in industrial sectors that are immune from AI or transformation? What trends are you seeing in the hiring market? - Yeah, when we were on last, a lot of our customers were kind of venture back, fast growing in the Silicon Valley ecosystem. And so that's probably the biggest thing that's changed in the business since then is that we've scaled to support more traditional enterprises. So think like large defense contractors, financial institutions and similar, they faced the same hiring problems. They want to track the best talent and they are seeing a lot of noise in the inbound that they used to quite heavily rely on. There's huge amounts of AI-generated applications spam now. And that makes it really hard to find the best talent and bring them onto the team. And so what we've seen since is kind of this shift, what used to be quite heavy on just software engineering roles of doing outbound for them is really spreading across roles. And so that's for sales roles, that's for HR roles, finance roles, and all across the board. - So, sorry to read that. - Yeah, for it. I was just wondering, do you expect there to be a shift in the number of new jobs that you place or broadly are placed that come from employees that are currently working somewhere and get outreach from a new company, and then they shift while they're still employed, versus the proactive job searcher. - That's right. We think the majority of roles are gonna be filled bypassive candidates. We call it the talent war. And so the more companies are competing, the more they're gonna be reaching out to other top talent and try to attract them to their teams. And I think that's already been the case, to some extent in fast growing tech, that's now spreading across the industry. And so we think all roles are ultimately going to be filled throughout bound. - Okay. Talk about the business model and how it might evolve in the future. Where is this, where is this going? I'm assuming as part of the pitch, all the investors were excited about you selling kind of the work that traditional recruiting agencies do, but how are you positioning it or thinking about it? - Yeah. So one thing that's unique about the business is that while we do kind of sell the work that the recruiter is doing, we do so without kind of say replacing the traditional recruiting agency. And in fact, many of them are our customers as well. And so whether it's an in-house recruiting team or an external recruiting team, they have the same goal of identifying who could be the best person of the forer given rule and then reaching out to them. And so the platform has two different modules, which kind of goes into the business model and pricing as well. One being the per-seat setup, where you can buy a license to use the platform and you log in with your email. The second being our agents, which are used on a per job basis. And so depending on how many jobs you have live or jobs that you want to hunt talent for, you can deploy different agents in juice box that will go find the best profiles and reach out to them every single day without you having to check back in on them day over day. - Okay, give me some tips for someone who wants to be flooded with juice box inbound. What's the key to making yourself aware to your web crawlers, to the models? How should people be positioning themselves, PDF, resumes, personal websites, blogs, Twitter? Like what's the best way to throw up a flag? Even if you're happy with your current job, just let everyone know, let the models know, let juice box know. I'm a killer. - I'm a top man. - I'm a killer. - Yeah. I think the biggest piece of advice is just share more about yourself, share what you're currently working, what you're actually working on. any projects that you're involved in, anything you do outside of work, really anything that can indicate a potential match for role. That can be pretty diverse. There's many companies that want to find candidates that have some kind of interest or experience in the sector that they work in. That might not directly be tied to the day-to-day work that you're doing today, but may reflect an interest that you have. The more of that is available or published in one form or another, we'll make it easier to be matched and identified for that job. What's the best output for that? Because I imagine you're not scraping all of Instagram reels. It's probably a little bit easier if I have a blog that's well indexed or I'm on GitHub or LinkedIn. Where should someone be publishing? >> Yeah, that's exactly right. Actually, all the ones you mentioned are great examples. Personal websites are something that's still a bit newer. I'd say the total number of candidates that actually have that is still fairly low. But many people have a GitHub profile, LinkedIn profile, many places to publish that information. I think GitHub in particular is one that's quite underutilized because it's historically been hard for recruiters to use. How can they actually find who's a good person to reach out to? A lot of that data is indexed a lot stronger now. Recruiters are searching based on GitHub data. They are finding people who contribute to open-source repos or have other signals. A lot of that data is only being unlocked within the last six to 12 months. I have a funny story. In 2014, I needed a higher software engineer. I cross-referenced every customer email with GitHub. I reached out to some of the top open-source contributors. There's one guy who had created Redis, which is an in-memory database. He's like a legendary programmer. I was like, "Hey, can you help me? I need to build an e-commerce website." He was like, "You don't need me, bro." You're good. He was actually very helpful in talking a ton of things. But that cross-referencing has been really, really valuable and GitHub continues to be an underrated source of sourcing. I remember I talked to someone who was a tech recruiter and I taught her how to source on LinkedIn. She actually got a job because of it because it was a differentiator that she wouldn't just be hanging out on LinkedIn all the time. This was pretty early in GitHub's era. There's so much alpha there because you can see what people are doing. A little bit harder if you're a defense contractor, probably not posting a lot of public information about what you're doing, but maybe some blog posts will do the trick. Anyway, thank you so much for taking the time to come. Great to chat with us. Congrats. Congrats to the team. We'll talk to you soon. Cheers. Goodbye. Let me tell you about 11 labs. Build intelligent, real-time, conversational agents. Re-imagined human technology interaction with 11 labs. Let me also tell you about TurboPuffer, Jordy. Please do. One of those vector and vertex search built from first principles and object storage, fast, 10X cheaper and extremely scalable. Well, we have our next guest, Adam Goldstein from Archer, he's the founder and CEO. Adam, how are you doing? Good to meet you. Good to meet you. And great. Welcome to the show. Thank you so much for taking the time. Would you mind kicking us off with a little bit of your backstory? How did you become interested in flying cars? Well, a lot of it came from building software business that every month, that's a wake-up and it'd be the first of the month and we'd have to start over with sales. And it was one of those things that kind of drove me to the point that I was selling. Were you selling one out? Were you selling box software? I thought the whole thing of SaaS was that it just automatically recurs. Yeah, right. I wish that was the case. The sales grind of software are really, really tough. And so, given how hard these businesses are, I really wanted to do something that was unbelievably fun. I could really help make an impact in the world. And the technology was changing over. So I had been messing around with electric engines and building airplanes. And it was an opportunity to just build a whole new category of airplane. A lot of it started out as a fun thing to go do, a project. And I always loved him and obsessed with airplanes. And so it was an opportunity to go out there and actually build something super special. And as it all started to work, it became super clear that there was just a massive business to go build here. Okay, take us through this video. What are we seeing here? So these are what people call EVTALs or electric vertical takeoff and landing aircraft. You can think about it same categories like a helicopter, but it's electric. And when you switch electric, you all of a sudden can put multiple sets of engines and propellers and actuators, which allows the aircraft to have a ton of redundancy, which allows you to certify at a safety level that's super, super high. So the vehicles take off and land like helicopters, but then transition and fly forward like an airplane. And it allows for people to get where they're going very, really, really quickly. I have to ask, is any of this AI generated video, is any of this CGI? That's all real flight test video. This is all real flight test video. Is there one of these? How many of these exist? What's the plan to ramp this up? Those videos are several different aircraft. Okay. So we have a big process of going through the certification process with the FAA. And that's the one where you're really unleashed. So we have a big factory located down in Georgia that can build up to 650 aircraft per year. Wow. So it's with capability to go do it. So right now we work with a handful of aircraft. The first block of 10 is what we built. And then now we're at the phase where we're starting to build to the next block of 50. But you want to time it really with the certification process. And then the other side is we were selected as the exclusive air taxi provider for the L.A.28 Summer Olympics. So we want to make sure we have it all done. I love it. I think. And you were talking about safety ratings. Is the idea to prove that these can be safer than traditional helicopters? Like what's the goal? Yeah, that's correct. So the FAA created a new category for us. It's not a helicopter. It's not an airplane. So we actually certify these at a safer level than what helicopters are today. And we have to go out and obviously prove that. And so that just will I think drive a lot more people willing to get on aircraft like this. The aircraft also is much quieter than a helicopter, which means it can allow for a lot more landing. So for example, if you wanted to take a helicopter to the Hamptons, they limit the amount of landings at East Hampton, he's so allowed and people can plane. So as the aircraft are much, much quieter, it can dramatically increase the amount of people that are able to access this. When I dig into the flying car plans, the history of the flying car, there's always like four different problems that need to be solved, like regulatory vertical takeoff and landing, going electric and then also building verte ports and actually having more places to land. Assuming you get through approval, it looks like it's already vertical takeoff and landing. It sounds like it's already electric. Will this be able to just slot into the existing helicopter infrastructure and sort of go from, like could someone theoretically just buy one of these instead of a helicopter, have a pilot who's experienced in this and fly from helicopter destination to helicopter destination while we as a society figure out more verte ports and landing zones? Yeah, absolutely. So we designed it to fit into the existing helicopter infrastructure. So the wingspan is less than 50 feet. The aircraft weighs 6,500 pounds. So it's designed with them that, you know, existing guidelines, will fly existing helicopter flight plans. We'll use and leverage a lot of existing infrastructure. And then depending on the city you're in, so places like Texas and Florida, there's much easier friendly environments to go. You can land kind of lots of different places, places like California, it'll be much more planned and structured. And so it gives you the ability though to really, you know, use existing but then ultimately scale the stuff out. So I do think you'll see fleets of this stuff get done first before individuals, but the individuals ultimately will come with time and will be able to use them on a never big basis. So in the existing infrastructure, I imagine that most airports that service helicopters have fuel, but maybe not charging infrastructure, is there any hurdle to actually getting charging infrastructure in place the way Tesla did with the rollout of the electric car? Yeah, so the good news is we use very similar charging infrastructure that the EVs use. So you see charging like a Tesla supercharger. And we partner with a company in our industry that's a, you know, all more of a partner than a competitor, a company called data, and they make a lot of the charging infrastructure. So I've backed the charging infrastructure, their plans, we buy a bunch of their equipment. And so we're going out there and doing that. The airplane business is just much smaller in terms of number of units than the total number of cars. So it's not like you need like tens of thousands of chargers everywhere. If you're looking at like New York City, you need a handful, right? At the big heliports. And that's really it. And we already a lot of power going into an airport broadly. So to redirect a little bit of it. It's not like you're trying to set up a, you know, charging station in the middle of nowhere. We are not training the grid. Yeah, that's for sure. Exactly. The Olympics partnership is exciting. But looking forward, what do you think are going to be, you know, five years out, ten years out? What are going to be the most like common routes? At least what would you predict at this point? So city center to airport is a very obvious one because there's known demand and willingness to pay. You can see that through rideshare. Hoopers, you know, we all do that, right? And so it's also typical trip. That's not that far, but also takes a long time. So the convenience factor there is massive. If you live in LA, you want to go to LAX, if you live in New York, you want to go to JFK. Those type of routes are like very obvious. But these routes exist like all of the world, things like that. So anytime like where, you know, everybody says, oh, I wish I had this in my hometown. It's like I grew up in Tampa, Florida. I grew up in North Tampa. So I would have loved to have gone to St.P. or to Clearwater. That's a total pain to get to. But if I could fly there, that would be super interesting. That literally exists everywhere. So I do think it'll become much more common. And we just have to get it started and get people comfortable because it is. is the first new category in a very long time, literally about 60 years that the FAs created. So there is an adoption period that will take place. - Yeah, no matter where you land in the Bay Area, it's gonna be an hour again, just saying from Cisco proper, whether it's SFO, can be a little bit faster, but Oakland's - How do you, it's all takes forever? - Creating a category like this, how do you solve the pilot side? What is gonna be the, like are you creating the certification with the FAA? How do you build out a cohort of pilots? Will there ever be, are you imagining there's gonna be a recreational market for EV tall? - Yeah, so the FAA is already defined this, and so there's certain credentials of like what you need to go do it. The good news is the aircraft is super easy to fly. It could take you two weeks to hover a helicopter. I could teach you guys that I fly this plane in five minutes. A lot of the training is really tough. - I feel like I could, I feel like I could hover a helicopter in about, in about five minutes. - I'm just getting dressed, I'm red bull. Contact me. I can fly just the opposite out. - If you could hover a helicopter in five minutes on your first try, that would be unbelievably impressive 'cause that is extraordinarily difficult. - Every guy, every guy I think thickens, I could take over. - I mean, yeah, I think that's ridiculous, but I could actually land a 747 in an emergency situation. - Yeah, 100%. You're on the cover of the business and finance section in the Wall Street Journal today. It says flying tax or maker, archer, accusers rivaled Joe B of concealing China ties. What happened? What is going on with the deeper supply chain in EV toll? - Yeah, so archer is building, the product's not just for the civil side, but also for the defense side. - Okay. - In a big part of what we're doing is really in support of building, re-industrializing America and building the, you know, the industrial base here, especially on the defense side. And so we partner with a company called Android, and we're building new aircraft. We build the big aircraft, and then Android will missionize them, so they put the sensors and systems and weapons into the aircraft. So very important to me, we build and keep the supply chain in the US and we build this stuff out here. That's not been necessarily the case for our competitors. They put factories in China, in Shenzhen. They set up their supply chain there. And I just think it should be table stakes for American companies working in defense to have to build out their supply chains and ultimately do it in America. And if you do go do that overseas, you also have to disclose that in a very proper way. And so I think that's a big sticking point for me. I do think a company's working in defense in America need to be very transparent about that. - Talk to me about the battery supply chain there, because I feel like drone motors have been very difficult to reassure electric batteries. We've seen some positive news from Tesla around a lithium ion battery plant. And there's some extraction that's happening. But how mature, I mean, you're not making millions of these yet, but how mature is the supply chain on the electric side? - So we used traditional lithium ion batteries and so commercial off the shelf stuff. So we're not like in some new battery cell here, that's not proven. The reason we have to do that is because there needs to be data to show the FAA to prove these things are safe. It's not just that these things are safe, it's that we have to go and actually light some on fire. We put them into thermal runaway. Many of them into thermal runaway. If to show they do not propagate and spread throughout the pack, we have to take an entire pack, hoist it 50 feet in the air and drop it. And it cannot emit toxic gases or catch on fire. So the standard is unbelievably high. So you need to use proven technologies to go do that. The good news is over time batteries do get better and so they get more energy dense. And it allows us to do more things, largely around speed range and payload. But that will likely keep improving versus if you take typical ice or piston combustion engine. It's not like the tech is the core, it's like the fuel is getting better. It's the same fuel every year. We have a unique advantage where one day the stuff will be so good. You probably don't mean that much. And it will dramatically reduce your cost. - So yeah, long term, this should be longer range. Where are we right now? I feel like electric cars had a certain breaking out moment. Once you got to a 300 mile electric car range, that's about what many gas cars are. How does the electric VTOL range compare to just a typical helicopter? - So today helicopters have more performance than what we have from a range perspective. So we are targeting in and around urban environments. So it's like less than 100 miles. That's the typical kind of target. On the defense side, it's a hybrid vehicle. So they can go upwards of 1000 miles. So you're putting heavy fuels back into it. So even further than what helicopters can do. So it depends what you're talking about. But on a helicopter, they can't meet us from a safety perspective. So if you look at like single engine helicopters, there's many single points of failure. Where if one part goes bad, you'll have a catastrophic event. So we are hitting standards that are significantly higher than where they can be. So there will be some trade-offs. So there will always be helicopters around. Heavy lift stuff, really far range stuff. So if you have an offshore oil rig, for example, we're not going to compete in that market. So if you look at like a 53K, a King Stallion, just Google that, like a giant heavy lift helicopter, that thing can carry F-35. I like that. I like the name. What's it called? King Stallion. King Stallion. That's a-- Yeah, so that's a big helicopter. You guys can create a horse theme. Yeah. Product. Yeah, you got to get good names going for all these guys. Yeah, that's very-- Well, the funny thing is, that's a big boy. That's a big king stallion. Yeah, so we call our aircraft midnight. And of course, companies arecher. And then, you know, Taylor Swift did release her album "Midnight's" and one of the songs was "Archer." Oh, that album. Oh, there you go. And so we were like, wait a minute. Is this-- She is sure. I'll show you how she's been paying attention. I don't know. That's what we were curious. Is it like, do we inspire her? That's great. Well, thank you so much for taking the time to come chat with us, Adam. This is fantastic. Great, great time to make. Cannot wait for the Olympics in Los Angeles. Hope to see these flying around. And we'll talk to you soon. Awesome. Thanks, God. Have a good rest of your day. Let me tell you about public dot com. Bestie for those that take it seriously. Stocks, options, bonds, crypto, treasures, and more with great customer service. Before we bring in our next guest, I need to tell a funny story about in middle school, everyone had to give a speech. And I had the best speech planned. I was going to give a speech about the Osprey helicopter. Are you familiar with the Osprey helicopter? Of course. Yes, vertical take off in the landing vehicle. And I was like, this is the greatest speech ever. I'm making-- it's the future of technology. It's a plane. It's a helicopter. Everyone's going to love this. I get up. I give a very convincing speech on how the Osprey helicopter should be supported at all costs. We got to work on this thing. We got to fund this with taxpayer dollars. The Osprey helicopter is the best thing since sliced bread. I get up. I get my speech. Then the next person comes up. And they're like, my speech is about Karen Cancer. And I'm like, I'm cooked. And everyone else, again, chose topics that were totally pulling on your heart strings. And mine was just like nerdy talking about a random obscure piece of military technology. And Osprey is pretty sweet. I don't stand a touch. A hot friendly guy in the chat says, Taylor just wants the Taylor Swift wants the archer so people stop flaming her for-- Oh, that's a good call. That would definitely help out. Well, before we bring in our next guest, let me tell you about Gusto, the unified platform for payroll benefits NDHR built to evolve with modern small and medium-sized businesses. And without further ado, let's bring in Max from La Gora. He's the co-founder and CEO. Max, welcome to the show. Thank you so much for taking the time to come chat with us on such a busy day. What's happening? Give us the news. What's happened? Well, we cooked. You cooked? Let's go. Let's go. Let's get this going. We raised the route. How much are you raised? We raised $550 million. [MUSIC PLAYING] It's a big worth of all gongs. Fantastic. Like the sales department here in La Gora. I love it. I love it. So what's the key to growth? Is there a particular type of law firm that's you're seeing traction with? Is it up market, large, small, everything, direct to consumer? Like where is the business today? Well, let's talk about law firms. I think the thing that sort of distinguishes the law firm market is that if a firm down the street starts operating with La Gora, they are able to offer faster and better services. And so every firm has to adopt it. The equilibrium breaks. And that's why we've seen an astronomical surge in our law firm demand. But at the other side of the coin, you have the enterprises, the legal departments who are starting to figure out that we might be able to leverage AI to cut down costs to operate more effectively. And so we're really seeing value on both sides of this equation. And as you know, we started La Gora in Stockholm, Sweden less than three years ago. And now we're in the US. I'm calling it-- --in New York. We've just opened up in Houston and Chicago. And so in Texas. Law firms doing the oil and gas. The legal oil down there. So are there any specific trends in industry? Or is it more like you'll do litigation versus something else? Where have you found the most success? Where is AI advancing the work of lawyers most acutely? So I'd say we have had the most traction in M&A and corporate departments. But quickly, we have actually started to see a real verticalization. So within private equity, within formal, within big tech companies, within real estate construction, right? The way that lawyers-- well, I actually think it's similar to software coding. So La Gora used to be kind of a co-pilot. And used to work with it as an assistant back and forth. But now, with the latest model release with Opus 4.5, [BLANK_AUDIO] 5.4, we're starting to move into a world where like where I can autonomously go out and perform tasks on your behalf and that's working across every single legal vertical. How do lawyers feel about AI? Are they having an existential crisis in the way that software, some software engineers are having? I'm not the craftsman that I used to be. Like how are they actually processing it? I think it's the entire range of emotions from the Holy shit, this is incredible and I've never seen anything like it to, "Huh, I'm really going to have to figure out how my business model is going to work for this task that I used to build hourly for." And if you look in the law firms, the way that they're typically structured is you under-build for the partners and you over-build for the associates. And that model is starting to get questioned by the buyers. And so clients are demanding the use of AI and shows of more effectiveness in the way that services get delivered. And of course the core is part of the, you know, answer there. Every once a week somebody like is making the kind of statement or putting out the idea that what are all these legal AI tools doing? I can get the same results from a chat GBT or a clot or a Gemini. What's your answer there? I'm assuming that came up during the fundraise as to why this isn't, you know, a thin wrapper. I have my own ideas, but I'd be curious how you talk about that. I mean it was the same week that we went out to the market that Claude dropped their legal plug-in. And I actually think it was a fantastic showcase. So, you know, here's some of the capabilities that the models can actually do. But in the same way that just taking the model and throwing it at a problem sort of doesn't work. If you're going to run a $10 million M&A process, there's a lot of scaffolding. There's a lot of enterprise software. There's permissionings. There's sort of ethical walls that you need to respect. There's the way that you work with the firm's internal data, with external legislation and with case law. Like there's just so much more that you need to do around the models to put them in a context. Where they can be useful. I think with the latest developments, we are actually needing to build less of the guardrails, like the harnesses that we can put the models in are improving. So we can sort of take the model. We can put them in an environment where they can be successful. And then we, you know, to quote you, let it cook. Right. And we give the model access to the relevant tools to go and solve problems in that legal business context. And then we sort of let it go out and plan and execute on that task. Do you have the internal teams been a lot more aggressive to date than, than let's say like the big law, just because they're not like running a business. They're just like providing an internal service. And is was that something that you would kind of always expect it? So I think that the big law was really quick to adopt. And over the past two years, we've seen a real exponential step function in sophistication and complexity of the use cases that they're solving. Right. Like back in 2023, as somebody would get a clap on the back for summarizing an email with AI. But now you're running an entire M&A like end-to-end process using LaGuara. And so the expectations are increasing. And I'm actually seeing things like adding AI as part of the career framework within law firms to get promoted. I'm seeing AI be part of the interviewing process. Right. Like it's now a skill that is required to deliver real work. I think the enterprise departments have been patiently looking at sort of what are our law firms doing. And now they're starting to follow on. And okay. One of our last developments is something we call the LaGuara portal. And the portal is basically like, you know, Figma for lawyers. They can collaborate and come into a multiplayer space where they can work together. And recently one of the big firms we work with here in New York, Debevoise, started working with clients like Blackstone, GSK, like on that portal. And I think that's really exciting because the way that these legal teams have collaborated have, you know, looked like the early 90s. And now we're pulling that into the age of AI. Very cool. Are you seeing pull from in-house councils or is that a completely separate market? No, absolutely. You know, we were with big things. They are so much attraction because if you're in-house council, you're overworked. You're not billing by the hour. You just get a salary. You have a team. You want to make your team as efficient as possible. You would adopt as you want. You have a greater incentive to adopt as much AI as you can faster because you're not dealing with your business models so you can do adapt as well. How far away are we from Microsoft's in-house council using Ligora to acquire Activision directly? And Activision's in-house council just uses Ligora as well. This is a great question. We're actually working with some very large enterprises who are leveraging Ligora to do more of the M&A process than sales before, you know, engaging. But I think it's also an opportunity for firms to be very proactive and to actually invite them into their software environments and to go, "Hey, AI can now do these tasks." So we're going to help you or client make that transition. Right? We have this framework internally where, like, if AI can do a task, it will do it. Like, that task has been conquered. It's within the spider-shark that anthropic release, right? Like, Spider-Human, right? Like, it's no longer task that humans should be spending their time on. And I think the challenge is that this is all moving so fast and people aren't used to doing their work and disrupting themselves at the same time. So, you know, we have the software on one piece, but then we actually have a hundred lawyers on staff at Ligora called Legal Engineers that partner with our clients and we really pioneered this concept, right? It's forward-to-poid lawyers, in a way. And they work with all the big enterprise and big law firm clients on transitioning the way that they do business. What are conversations like on law school campuses today? How are they processing all the progress? Yeah. Well, so, Ligora actually has a university program, which is really exciting. And so, if you're a law school student listening to this, you should be part of the university program. And you should learn this, right? It's going to be a skill that firms will look for. It's going to make you more attractive on the job market. And I think we are quickly going to enter a world where you're spending more time reviewing work that AI is doing for you than doing it yourself. Right. Like, that's what's happened to software engineers. That's going to happen in law. And so, the best thing you can do as a young professional is to get there really quickly. That's great. Anything else to read? Wild times. Wild times. Wild times. Yes. Thank you so much for having me. I'm sure you're going to be back on with the billion-dollar raise soon enough. Sure, I'm sure. Well, we will talk to you soon. We'll max. Great to get that data back. Awesome. Goodbye guys. Jerry, let me tell you about Graphite. Code review for the age of AI. Graphite helps teams on GitHub, ship higher quality software. Faster. Tibo from OpenAI has some news here. He says, "We are adding computers fast as we can for codex, but demand is surging faster than anticipated and service. Can be a bit choppy for some team is working hard behind the scenes. Everyone is happy with Tibo. Resetting limits. Adam.gpt. St. Tibo. Giver of tokens and the resetter of limits." We got to pull up the video you shared, John. Which one? Oh, yes. Yes. Yes. Pull it up. I just dropped it. You just dropped it in the chat. We have a few videos that we can watch. We can watch the trailer for Project Hail Mary, but let's first watch Tim Tibo. Give the promise. No sound. Open front under feet. Season has my goal. Start it over. Please. I'm sorry. I'm sorry. We're open front under feet. Season has my goal. Something for us never done here. But I promise you one thing. A lot of good will come out of this. You will never see any player in the entire country. Play as hard as I will play the rest of the season. And you never see someone push the rest of the team as hard as I will push everybody the rest of the season. You never see a team play harder than we will the rest of the season. God bless. It's great speech. And that's how John read Tibo at OpenAI's post. We are adding computers fast. We can for codex, but demand is surging faster than anticipated. Team is working hard behind the scenes. You will never see a team work as hard behind the scenes as our team. God bless. Project Hail Mary, debuted with a 95% on Rotten Tomatoes. It's described as one of the best sci-fi films of the decade. We got to get Nick to get some tickets for our team. We will definitely be going. I'm very excited. Let's pull up the full trailer for Project Hail Mary since it is movie day on TDPS. Please state your name. Rodley Grace, please welcome from Macoma. Have you seen the motion? Yeah. This is from the same author, Andy Weer. I'm not an astronaut. If you don't go you die. With the rest of us. - The sun is dying. - Oh no. - You were the only scientist who might know what this is. - I'm just a teacher at Grover Cleveland Middle. - You have a doctorate in molecular biology. - I need you to come with us. This is Project Hail Mary. The sun is not the only star dying. Every star was infected by its neighbor except one. - Why? - We don't know. - Which is why you build a ship to go there and find out? - It's 11.9 light years away. - The astronauts die in space. - What do you Americans will call a long shot? - Hail Mary. I get it. - The name of the movie. - It's the name of the movie. - I love it. - He really does. - He has no experience. - He's kind of a ghosting. - But he has to go anyway. - He was just a professor. - Just a normal person. - This is every man's dream. - I put the knot in astronaut. I've never done anything. I've never done a space where I can't even moonwalk. - I seriously think there's like a 50% chance this happens to me at some point in my life. They're just like, "John, you're the only person that can save humanity. You gotta go." - You gotta go. - If I gotta go, I gotta go. I'm ready. This is my fantasy. - I understand God's way. - I do. - He's so good. - My place is in the classroom. - The world is counting on you. - I do. - I do. - I do. - I do. - He's so good. The world is counting on you. - This might be very hard for you to understand. But some people are not good at things. - 2026 box offices, 27% below free pandemic, 2019. - No black pilling. - No black pilling. - He's kind of growing on me. At least not growing in me, you know, which was a concern for a little while. This looks fun. I think this is a good movie to start the summer. It's a little bit early, but it's warm here in California. - I'm going to call you rock. - Well, a fun time of that. The Financial Times loved it. They said Project Hail Mary, Ryan Gosling's good humor, propels space caper of Sirius Uplift, a science teacher buddies up with a boulder-like alien to save the sun in an escapist morale booster. - One more trailer of the Lego movie. I would love to watch another trailer. - I'm going to go up the trailer for the AI doc. - Yes, the AI doc. This is the real movie that will get people back in seats. Everyone loves AI. They're going to want to hear about AI. They're going to want to head to the theater to watch the AI doc. Let's watch the trailer. Look at this line. - Can go quite well. - They got Sam. They got Demis. They got Dario. What happened with Mark Zuckerberg? - It's the same thing. - We'll never know why he turned this down. - Did they get Elon? - They didn't get Elon. Elon said yes, but then he got busy. - There's a difference. - But there's Yikowsky. - So, it's a desert movie. - Because my wife is just my wife. - It's a watch. - It is now a terrible time to have a kid. - That may not be honest. I know people who work on AI risk, who don't expect their children to make it to high school. - [sounds of pain] [laughter] - It's all perfect AI. - That's vastly more intelligent than people within this decade. - China, North Korea, Russia, they got India. - And where is essentially the controller of human life? - We got Joshua Benjio. Who else is he got? - We need to tell you. - You've all known Harari. - He's got his global breed Hoffiners in there. - More. [thunder] - Danielle, I'm feeling that he's in there. - I have to find these CEOs. - And get them in the movie. - You got Sam. They got Dario. - They got demos. - Where's Mark Zuckerberg? - Get in this movie, bro. - To man reshoot. - Absolutely not. - AI is the thing that can solve climate change. - Anyway, fun documentary. Clearly this is going to be the thing that turns the tide off. - I don't know what everyone's going to do. - It's going to be sold out. Get your tickets now. - I'm going to tell you about Octa. Octa helps you assign every AI agent a trusted identity. So you get the power of AI without the risk of cure every agent. Secure any agent with Octa. And without further ado, Alan McLeanen. In the restroom waiting room. We'll bring him in the team. You can help you jump. - Well, it's going on. Alan, how are you doing? - I'm doing just fine, gentlemen. It's nice to meet you, bro. - Great to meet you too. We were just talking about Hollywood. I'm feeling about Hollywood. I am optimistic. Project Hail Mary looks good. This AI documentary looks good. Is there any cause for optimism? - Oh, of course there is. I mean, the basis of the creative storytellers in Hollywood are in parallel. And everyone wants to come to Hollywood to do their projects. And whether or what anybody says. Yes, there has been somewhat of an accident only because that was motivated by the saying after strike and everything kind of shut down. 468 plus million a day was lost. So it was a big hit for Hollywood. And so that changed dynamics considerably. But from a storytelling standpoints and the capabilities of putting things together, it's truly fantastic. It's the community that makes things happen. - Yeah. How do you think the mix of different film budgets is changing or should change? We've been in a, you know, there's the low budget film and there's the huge blockbuster that gets up into hundreds of millions of dollars. And it feels like we might be entering a new regime soon where there's more lower budget films made that are even more impressive than the blockbusters of old. How do you think the Hollywood will react to new technologies potentially making blockbusters more affordable, more creativity, more diverse perspectives? How do you think all of that changes? I think you just summed it up really well. The fact of it is that it's nothing really new. This has been evolving over many years, 50 years, different types of programming, television, you know, 30 minutes shows, episodic activities. And so that has evolved. It's really driven towards the audiences and the interest of the audience. The new micro programming is the new, used to be called, you know, basically, crater economy or the crater content, you know, user-generated content on 2004-2005 when YouTube came into play, kind of created a whole new genre of everybody can produce something. That doesn't take away the importance of the quality of the programming. You know, and when it comes to micro programming, let's say micro shows, those in and of themselves for 90 seconds to 3 minutes are something that you really want to be able to capture. And also view, and people do now kind of the average viewing of a micro show is 4 to 5 different segments. It's kind of streamed together. And that's a question as best I can. It will find its path, it will find its part like, for example, your program. You know, here's consumers are looking at this and being able to engage with it and it's developing and delivering great content. At least I'd like to take that with you. Thank you. Thank you. We do have a question from the chat I want to ask about this idea of Barb and Hymer. These moments that are shelling points, they bring everyone together. And I'm wondering if you think that we'll see more of those in the future or if Hollywood should be thinking, even if it's teaming up with a rival studio, to create something that gets even more people into the theaters. Because the internet's so noisy, but everyone's in their own little pockets. But then something like Barb and Hymer happens and the Barbie film and Oppenheimer and they're two completely different. But everyone was talking about it and it seemed like it was the true Hollywood returning to the center stage of American culture post COVID in my opinion. Yeah, culture events are really important no matter what they are, wherever they are. There's groups out there that are doing that live, cousin, that's pulling the kinds of activities together. There's this spirit, which is another place that is a communal environment that is truly fantastic. When it comes to the kind of event that you're talking about with Barbie, Hymer, pardon me, the fact that it is, people are looking for that. People want to get you a long time ago and I say really a long time ago. Remember when we were looking at the kinds of shared experience, like interactive television where you could choose what you're watching with anyone in any particular time. And then really go over that great. You know, it was good and it was well done, but people. really didn't want to watch television and share with their neighbor or whatever it might be. They would talk about things when it came to programming with their friends. But not that many. So, audience sizing is really critically important. And events like that are unquestionably key in driving, you know, merchandising, participation, and just engagement. And this is what's happening around the world when it comes to the new types of episodic television, whether it's blue and turkey or, you know, the different types of acorn in the UK. These are really important networks that are driving a lot of viewers at this time. >>Hollywood has a lot of fear around AI. A lot of people don't even want to talk about, even if they're excited about it because of fear of pushback. I've had a slightly more optimistic view that if you look back the last 10 years of traditional Hollywood as in like the place, not like the industry, a lot of these big productions are being shipped out of state or overseas. And I've had this optimistic view that Hollywood could see a general resurgence if the storytelling capacity stays here. But like we are no longer having to do as many expensive shoots in Europe or the Middle East or any of these other places because those scenes can now be generated, but the talent that is involved with, you know, effectively directing, directing, producing, casting, those people could have a higher volume of work and budgets could potentially be distributed instead of one, you know, $200 million movie. You might have $10 million dollar productions that are using AI to be more efficient. Am I totally off? Do you think that's a possibility? What's your view? >>Well, AI has been here for about 20 years. So it's already been involved when it comes to production and the ease of the overall product being created. You know, where it comes into play is, you know, daily to the end of the day, you can take a look at five, six different cuts very quickly, all during live shots of what you're putting together. When it comes to AI involved, it's one of those situations where it's a tool. And it's a tremendous tool. And how that tool is leveraged is going to become key. You know, there's different efforts when it comes with all the different types of content, creation, editorial tools. It's the managing layers that stay on top that allow for the efficiencies that come into play to create pieces of content. And then that lowers time. Lower's time is lower in budgets. Loring budgets means rapid and escalating the kinds of productions that then are created so you can you can meet the timeline. You can meet the pipeline. You can get more programming into, you know, into the distribution points to be able to see some of the more interesting things that are out there that are really key is how not just AI, but AI when it comes to the content creation. Like for example, the ability to on the fly, level set and uplift all of that content into high quality visual like 4K and UHD. Like we're looking at UHD right now, you know, and well 4K. And the fact of it is it looks pretty good. Well, in a lot of content that's being created that's pushed out there, it's being shot in 4K, but as soon as it cuts to advertising it drops down, drops down to 2K. So you get this recommendation that takes place. It doesn't look good. Then it goes back up to 4K. And so level setting all of that is back to the point of audience engagement. And so audience engagement is really key. You kind of touched it a little bit when it says to the cost of production. Why wouldn't you? Why wouldn't you go down the Rio or Johannesburg or Prague and do a production or London and do a production for 80% of the cost of what it took to do in LA or Hollywood? Okay, there was a shift on that. The actors pool, the production capabilities now that you have live engagement and production facilities in LA or San Francisco or London. Because of the state of technology isn't just the AI component, it's how things are made and how things get done. So the actors are, you know, exceptional in each one of those cities that just identify Paris, some of the French programming, it's great. Some of the Madrid programming, all of it is exceptionally well, but then the cost of putting that together is considerably less. That's the problem that we have. AI can actually do a lot more engaged activities and enhance that capability as we move forward. We just had a recent event out in the desert, and that's not like milling around in the sand or anything like that. It's like what we're talking about. It was at Palm Springs. It was quite lovely. And the fact of it was is what's called a Hollywood Professional Association. That's HPA. And that we delve into that kind of discussion about the impact of AI. And what we really come down to is that it's another fabulous tool. It's to be respected more than it is to be feared. And yes, will it kind of lessen the amount of work workers that are going to be approaching this? Yeah, but those workers, the workers are very straightforward. You either learn how to use tools or if you stick your heels in the ground and drag yourself, then you're going to be passed five. So you learn how to use something to make something move forward. But yeah, and we saw that with the digital transition where people who shoot on film, there are still movies that get shot on film. It's a smaller community and those films are special in their own way. And I don't think anyone expects a complete revolution overnight in any of these things. We do have one last question from the chat. It's sort of funny one. There's a surfboard behind you that looks like it's seen a very many amazing beaches. Do you surf? Where do you surf? Tell us about the surfboard. I have. Nice. And I do. As I've gotten older, my balance sucks. But you know, other than that, my son's a big surfer. We're all surfers. We're a water family. That's me. And so in the course of that, yes, I do. And now I'm more of a spundger. If someone's actually identified that, then they might know what a spundra is. But I respect it. I respect it. You've earned the sponge, I think. So it kind of comes back to that. That's a prop. What can I tell you? It's a board staffed in half. It's not a board. So I had a Hayden shapes that the same brand that I took to like 20 some countries and it did eventually snap. They're like weirdly, this type of board, it's like they're like extremely durable in some ways. But they have these certain impact points where it's like over. Okay, I'll just snap. Yeah. But a lot of fun memories on my Hayden shapes back in the day. Well, thank you so much for taking the time. We appreciate you taking the time to come chat with us today. Hope you have a great rest of your day. Hopefully see you out in the water. Thank you. Thank you. And I hope I was, I'm glad it's some value. Absolutely. Have a great week. Goodbye. Goodbye. Let me tell you about MongoDB. What's the only thing faster than the AI market? Your business on MongoDB. Don't just build AI. Own the platform that powers it. And without further ado, we'll bring in Jacques Deep Singh from road.ai. How are you doing? Welcome to show. Thank you so much for taking the time to join us. Great. Great to meet you. Since it's your first time in the show, please introduce yourself in the company a little bit. Yes, I'm Jacques Deep Singh. I'm one of the co-founders of road.ai. And we are building a generous, intelligent robot foundation models to solve real problems and factoring in logistics. Okay. Help me understand what I'm thinking of when I think of a robot. I'm familiar with the Cooke of robotic arm, the optimist's humanoid, like the Roomba. There's so many different ways to think about robotics, the Tesla Model 3 is in many ways a robot. Where do you see the first robot coming online? Yeah, great question. So we've had robots for a long time. Traditional robots have been around for decades and they're exactly what you described. Cooke of robots like that that are basically designed to move through a predefined trajectory, that's program. And they can do one thing really well over and over again, repeatedly. What they can do is deal with variability. Right? So they don't learn by themselves from data. There's a new class of robot people working on. It's still a kind of a hot thing. It's probably you've heard. The robots that have a neural network of capability and can learn from data. You feed it with a lot of data of robots moving through certain trajectories and they can learn for themselves how to want those tasks. The problem is those approaches use what's called a BLA, a vision language action model. I don't want to, you guys with details, but we love the details. So go to the beans. So these BLA models, you've probably seen robot demos on the internet, doing cool things like making coffee or all the fish. The problem is all these demos are just that, they're demos. They work well in a lab setting, but they fail if you move the model into the real world. The question is why do they fail in the real world? Well, because these models are trained on relatively small data sets because you don't have internet scale data sets for robotics trajectories. So people tell you how to operate robots, like puppeteering robots around to do certain tasks, and you collect a number of trajectories that way, and then you can train the model to do a task. But because the quantity of data is so small, they can only work well if the test set is very similar in the distribution to the data set it was trained on. And the problem is, you can do that in a lab setting. When you take it to the real world, there's a much broader diversity of settings, of configurations, of objects, lighting, and so on, and the models fail. So that's a central problem that we were started to address is how do you get robots to generalize beyond these very contrived situations that people have shown they work in in lab settings. And so we've got a different approach that we're taking. OK, so push back against the teleop strategy, because I was totally on board with the no teleop thing during the test laboom. But then Waymo seemed to do a lot of teleop, and it seemed to sort of work. And so when I think about ways to get a lot of data, teleop doesn't seem like the craziest thing in a world where we have a bunch of scale AI, Mercore, there's all these data, RLHF teams that are sort of manually curating answers to questions for LLMs. Like the human in the loop for a medium amount of time seems to be a tried and true path. Why does teleop now make sense in this particular industry? Great question, I'm glad you asked it. So I think self-driving cars are a bit of a special case, because the car is basically a robot that is very easy to teleop with. So you're sitting at, basically, have four actuators left, right, speed up and slow down. And we've all been driving cars for a long time, and you can easily put a million tomatoes in a car, which is where Waymo was in the world had to do to learn how to self-drive. They did collect a lot of data. But even there, they don't have all the data they need. There's a lot of so-called corner cases that those cars run into that causes. In the case of Romani, the problem is much more serious, because now you're talking about manipulation. You're not just operating a robot with a single environment like a flat road. You're dealing with the full dexterity of a human hand, but 20 degrees of freedom per hand. Every object's different. Every type of task is different, right? And these things become very difficult to tell you to operate. Tell you the operation process for these. You've got to wear a headset. You wear the joysticks in your hands, and you're trying to move it around. It's just very hard. And can I need the problem? Isn't just the quantity of data, although that's obviously a problem. You can spend a lifetime doing this. We think you wouldn't get to internet scale. But the big issue is the diversity of data. If all the data you have is data that you've intentionally collected, then you almost by definition haven't seen the corner cases. You haven't seen all those edge scenarios that cause failure. So the way that we're approaching it is different to all the together. Our team comes from generative AI and computer vision. And that is, if you look at every other AI model that's worked, they all start with an incredible amount of data, typically a whole internet's worth data, whether it's language models or image models or video models. And then there's a small amount of fine tuning that you use to align the model. That fine tuning data set, teleoperation is fine for that, by the way. That's what we're doing. But for the pre-training, it's just completely inadequate. So what we did is say, what data set is there that's internet scale, massive diversity, and for which you can learn about the physics of how things move. And there's only one answer. That's in an end video. So because our team comes from computer vision and generate modeling, that was the approach that we took. So we basically literally trained the model on hundreds of millions of videos, really millions of clips, in fact. And in our view, the model has seen almost anything that you can see in reality. And then with a tiny amount of teleoperation, that literally on the order of 10 hours, compared to what the VLA approach requires, which is tens of thousands, if not hundreds of thousands of hours, of data, you can actually teach the robot to do certain tasks. That level of data efficiency is we've never seen. That's one of the big breakthroughs here. So what is the early customer set going to look like? Are you-- can you work with any type of robotic manufacturer, everything from humanoids to arms, or is there a particular focus? What are you most excited about? So we're not going after the consumer market. We think that there's low-hang fruit in the commercial industrial logistics markets, where you already have a lot of tasks being done that people are being paid for, where you could use some help from automation. And we actually are a full-stitie company. So we have this AI model. It's very cool. We call it the direct video action model, because it makes a video of what it thinks the robot should do. And then it converts that to actions that the robot actually doesn't, and does that in closed loops? So it we observe, basically, where the model works as observed, predict, act, in closed loops. And so that's a key part of our evaluation. But we're a full-stitie company. So we're doing the robot hardware as well. Why are we doing hardware? Even though there's 100 plus robot companies in the world. Well, because we couldn't find one that actually meant the requirements of the use cases were in this. We wanted to live 25 kilograms, not just once, but all day long. That's called rated capacity. If you try to do that with conventional robots, you'll burn out the motors. And that obviously is a reliability issue. It has to be reliable enough to last the whole three years that we're targeting, basically. But more importantly, we wanted the robot kinematics to have what's called a linear response. Linear responses are actually systems that can be modeled by an AI model. If you have a non-linearity system, like compliance or elasticity, that's very hard to model. And that doesn't work well with AI. So we wanted to build more of an Apple-like solution, where we control the OS, and we control the hardware, in order to provide a full solution to the customer. Having said that, some of our customers do want our model to control their existing hardware. Sure. You won't be talking about Kukka, for example. A lot of them have Kukka hardware. So it would be very straightforward to imagine a Kukka arm, sending an API call into our model, saying, here's what I see, what should I do? And the model response says, do XYZ, robot does that, and so on. So we will make the model available to third parties. We want a great ecosystem here. But day one, we're really focusing on providing a full solution that is really tightly integrated. Yeah. So great answer to the teleop question. Talk about the SIM to real gap. Why is simulation building a physics engine and a robot that perfectly mirrors the human body, or whatever your hardware is, all the different hinges, and then running that in a virtual environment, Unreal Engine, or something like that, and then transferring that learning back to the robot. Why does that not work, as well as people expected it to work? So first of all, excellent question. You guys are more up to speeder and more than I would have guessed, so that's good as we have fun. So SIM to real is exactly what you describe. You learn in simulation, and you try to apply that in the real world. There are two problems there. One is, no matter how well you try to model the laws of the physical world, there's always what's called a SIM to real gap. You can't perfectly model all the complexities of things like deformable objects and transparent objects that we'd like moving so on. But more important than that, it's the same kind of problem that happens with teleoperation, which is a lack of diversity. All the data you're collecting is intentionally collected. Then you're not going to see all those corner cases. And that's the fundamental difference from the lab in the real world, the so-called long tail of the distribution. In the real world, you see a lot more of these long tail events that you might only see once in your entire lifetime. But you need to deal with it. A good example of that, by the way, was this case where one of the self-driving cars ran into a woman on a bicycle chasing a chicken onto the street. Now, there's no way you're going to see that one of the ones in your data set. And then that you're not going to see intentionally collected data set. But you might actually see it on internet video. There is a video right now, telling Hawk doing the 900. And that is a very weird thing for humanoid body shape to do. But he did it. It's real. And the laws of physics apply. So there is something that you can learn from that, even if it's in the longest tail, that applies back to just picking up this diet code and taking a zip. - Too shay. And that's actually a really important point. So when we curate our data sets for the pre-training, we don't try to overly curate them down to, for example, manipulation tasks. We have things like videos and waves crashing on a beach. - Sure. - Which you might think has nothing to do with manipulation. But it turns out there's some knowledge about physics and how the world works in those videos. And that's why this model can generalize so powerfully. It's been trained on so much stuff that it just, in the same way that ChatGit was trained on, ChatGit can produce Shakespearean lyrics if you want or whatever plays. But it wasn't only trained on Shakespeare. It was trained on rap lyrics and quitter feet, and so on. And so the same thing applies here. You want to be able to train on everything to provide that prior on how things move. And then you align that prior with robot-specific data and tele-operation to perform the task. - I mentioned tons and tons. Well, congratulations. I want to have the round come together. Who participated? - Yeah, who participated? - Yeah, it's a great round. So we're not seeing a series A, so it was led by, you know, Coastal Ventures, led by Tomasek, it was led by Rift G. - We have a gog here. - Congratulations. - It's $450 million series A. That's all the money. - Great way to come out of stealth. I always recommend every founder. - Yeah, this is a good tip. 10 happy billion for new for new good way to make a splash. Yeah - That's a great confidence. - We appreciate you. - We appreciate you. - Have a great rest of your day. - Talk more. - Thank you. Let me tell you about Plaid. Plaid powers the app to use to spend, say, borrow and invest, securely connecting bank accounts to move money, fight fraud, and improve lending now with AI. And let me also tell you about Shopify. Shopify is the commerce platform that grows with your business. Unless you sell in seconds online, in store, on mobile, on social, on marketplaces, and now with AI agents. What up for the redo? Our last guest of the show. - Or what? - Scott. - How you doing? - It's going on. - Fantastic. - How's it going, gentlemen? It's going fantastically over here, too. - It's great to see you here. Are we up in the corner? Or you got an interesting-- - What's that? - It's our logo. I don't know. - Okay. - No, I was just saying, 'cause it's like you're looking, it looks like you're looking at me. - Oh yeah, yeah. I have my screen up here. - Okay. - Okay, okay. Well, first time on the show, please introduce yourself in the company. - Come over here, hang out. - Okay. (laughing) - That's better. - That's better. That's better. - Yeah. - Please introduce yourself in the company. - I'm Scott, co-founder and CEO of Throne Science. We're re-abooting the first of ice to track God Health, Hydration, Bathroom Habits, and prostate health. Hands free automatically every time you go to the bathroom. So, people like to analogize us. We are a wopfer of poop or a furrier of flora. - Mm-hmm. Very, very cool. And yeah, just first time on the show somehow. - Is it all direct to consumer or is there pay with your insurance? How does all of that work? - Yeah, great question. So we're launching today direct to consumer. We are HFSA, FSA eligible. And we do have a longer term insurance B2B roadmap, but kind of the thinking there is, it's really hard to build a B2B company that ever succeeds B2C. Whereas if you build a consumer brand, the people you're ultimately selling into are people. - Are aware. - Talk about, talk about the journey to get here. Now it has been two years at this point. It's, you guys have been grinding away. And it's also to finally get to launch. - Yeah, I appreciate it, man. It's been almost three years. So we originally pivoted. We started in nurse staffing and then as soon as COVID ended, that was a terrible business to be in. So we decided, let's go back to the drawing board. Both my parents are doctors, my dad's a medical advice inventor, my co-founder Tim. He comes from a healthcare family. So we converged on healthcare as an interest area for us. And he had been thinking about smart toilets in the abstract since college. It was like a sci-fi and inevitable future. And we called my mom one day and asked her, she's a geriatrician, it was like, mom, is there any medical utility to looking at people's waste? And she goes, honey, there's a joke in the field of geriatric that all people talk about is their kids, they're meds and they're poop. And it's so true that I no longer give my phone number to my patients because they send me so many pictures of their poop. And Tim and I walked away from that conversation, like, wow, that's crazy, but also really interesting because it means that people intuitively appreciate that there's health information in their waste. And B, it's so common that it changed away my mom as a physician, communicates with her patients as a blanket policy. And so we've started doing a bunch of homework and just kind of arrived at this perspective on the world that as you have continuous monitoring on every other category of your health, right? Your sleep, your cardio, your respiratory, your metabolic health, nothing looking at your GI or urinary health despite the fact that two and three Americans have been surveyed so they'd experienced GI symptoms in the last week. And that was in 2019 before GLP ones were a thing. 50 million Americans have a diagnosed urinary tract in addition, 60 million Americans have a diagnosed gut health condition. And you have a 10% lifetime risk of being diagnosed with a cancer of the lower GI or urinary tract. So that's about one in six US cancers. And the earliest signs they leave are microscopic blood in your waste. And so there's a, our ultimate vision is building what we call the first continuous cancer screener. - Okay, microscopic. So you can't just use a camera on the inside of the toilet. What is the actual data capture? You can't put everything in a mask back either. So you're somewhere in between, what is the actual sensor staff like? - So the device we're launching today is thrown one. This is a camera microphone that clips onto the side of your toilet. - Okay, just like that. - Like that. - Super easy. - And from there, it has a little sensor on the top here that detects when someone is at the toilet or is sitting on the toilet. It uses your Bluetooth to know this is a Scott versus John or Jordy. - Sure. - So that's hands-free automatic. Once you've installed it, you never have to touch it or think about it. And then it uses a dozen different computer vision models on the back end to track, got health, urinary function, prostate health and hydration. And then the last big category or the last ultimate innovation that we're marching towards is that smoke detector for urinary tract and GI cancers. And so this is a R&D device that's going into the future throne that can image across nine different wavelengths looking for the unique spectral fingerprint of hemoglobin. - Yeah, so you can go deeper than just a photo. - I sort of don't want a ton of push notifications from this thing. I only want it to call me when something's a problem. - Except, can you? - But I would expect the average, the people love, there's almost nothing that Americans love more than health data. - I guess, yes. So what is consumer demand? - What's wrong with that? - And then, then what is, what is consumer's demand and then what do you actually do? - So when you say what did consumer's demand? - Yeah, yeah, like how often do consumers want to hear from the device in terms of reporting, in terms of do they want a weekly newsletter, do they want a daily report, do they want a push notification constantly? Like, yes, you're right, I check my sleep score a lot, but most of that's just because I'm competitive with you. I don't actually want a push notification about my sleep every single day. I'm more want to be able to look back on it and understand a trend and understand, okay, actually there's a long term trend here. Maybe I need to get to bed to earlier or something like that. I don't actually, it's not in my daily review of my life, but what are your customers seeing and what's most effective? 'Cause ideally for me as a customer, I would just say, hey, just be quiet unless there's a problem and then tell me to go to the doctor. - Yeah, and I think for people who have healthy GI tracks, that is a perfectly reasonable position. - Yep. - And for people who are having a gut health journey, so to say, the number one thing they want is, well, two things, this number one, if they're working with physicians or caretakers, patient reported outcomes are notoriously terrible, particularly when it comes to your gut health. And so bringing a objective measure of my gut health into my physician's office is a huge leg up. Like the word that comes to mind that keeps coming up in these conversations as people say it's humiliating to be asked to keep a spreadsheet of their body. - Of course. - So automating that is huge. The other big thing is, - We've been really quickly, on that point, is the patient experience just like, patient goes into the doctor's office and says, "Hey, I have this app, let me open it on my phone "and you can just scroll through it." Is it as simple as that? - So that's what it is right now. We have building exports and then the next big, like the first kind of B2B feature set is gonna be a provider dashboard that allows you to provide her two requests exactly. That confidence is just like 99% of the battle. - Okay, cool. - Sorry, I need to cut you off. - Second thing. - Yeah, second big thing is, and this is kind of the thing that has historically plagued any wearable device is, when you have a wearable, you're buying necessity measuring outputs, right? Quality of sleep, your heart rate, those are all outputs. And what people wanna be told is, what are the inputs I need to change to optimize my outputs? And when it comes to gut health, so much of that has to do with diet and lifestyle, to understand what are my dietary triggers, what are my sensitivities, what are my intolerances? And this is true of people with, in stomach deficiencies as well as IBS and IBD. And so we are building a, what we call an AI gut health coach that will allow you to narrate what are the things that I ate, and what does my lifestyle look like? What are my exogenous treasures? And then it correlates those against your objective ground to gut health to be able to tell you, these are the things that are best and worse for your health specifically. And ultimately we call this like gastro-type thing, right? Which is like, how can we understand the black box that is your gut specifically? And when we have this at scale, we'll have 10,000 other users that have a similar profile of inputs and outputs. And we'll know what are the things that work best for them? And let's start you there. Talk about customer acquisition strategy, marketing, top of funnel. It feels like it's sort of hard to bring like a really cool celebrity on board for this potentially. At the same time, like just go viral naturally. Like, are you doing influencer strategies? Are you spending a lot of money on meta-platforms? I feel like there's alpha for celebs to be super transparent around the health issues. Because it can deepen a connection with their audience. Yeah, yeah. Row and Serena Williams, that was sort of an unlikely partnership and it happened. What do you think it in terms of the next couple of years of marketing? Yeah, so we want to do what function health and super power have done with blood testing or what levels did with continuous glucose monitoring. Like metabolic health straight up was not a term until they breathed that into the zeitgeist. And the playbook there is align yourself with the most credible physician in that space online. And so we've done that. Our Chief of Science is Dr. Kern Rajan. He's the biggest GI doctor on the internet has 10 million followers across TikTok, Twitter, YouTube, and Instagram. And he's our Chief of Science. He's an amazing health communicator and educator. And so he is equity aligned and working with us to help educate people about functional GI and why tracking things like urinary function and prostate health are important and can help improve your health outcomes. The next big piece of this is to your point. Celebrities influencers, I've been amazed at-- and we have even back when we had 1,000 followers on Instagram, probably 5% of our pre-orders were celebrities and celebrity entrepreneurs. It's crazy. I give celebrities a lot of credit for being really on the cutting edge of longevity and thinking forward about what is it going to look like when I'm 80/85? How did you process coal or coming out with their version of a smart toilet? When I saw that, it was a shock to me because when we first met, I was like, "Scott's crazy, this idea's crazy." It's going to be this incredible challenge, but the beauty of it is nobody's going to be crazy enough to compete with him. Then I saw it was sometime last year, Kohler came out and I was like, "I guess Scott's really on to something if Kohler is. " So anyways, my view is super validating, but how did you process it? The same. The Bippo-Gloat David was a shepherd until he met Elias and Kohler is incredibly validating here. It shifts the conversation from why would you want a device like this to which device like this is better and why would I want this? I have opinions on the product, but I'll say it's an immaculately engineered product and they paid attention to a lot of the wrong things. You have to manually start it every time you use the toilet. You've been going to the bathroom the same way since your potty trained to two years old, introducing one extra step into that routine is just not reasonable. That's not meeting people where they are. Great point. I personally, I don't trust big toilet. I'm not going to give big toilet my data. I mean also just a new toilet can cost like $1,000. This product is much cheaper than that. For a lot of folks, they'll just say, "Well, there's actually no problem with the rest of the device." I just want to get this as an add-on. Similar to eat sleep people like the bed that they're sleeping on, they just get the cover. It's a time on. Awesome Scott. Well, I'm so excited for this to be out in the world and to finally, for you to finally be launch. I know how hard you've been working on this for so long and it's awesome to see all the progress and how intentional the whole product is. So congrats to the whole team and yeah, I'm excited to see what insights people have and all the learnings they come from this. Talk to you soon. Good bye. Good to see you. Thank you. Cheers. Well, if you're looking to improve your God health, your overall health, change your diet. Maybe you need a new job and you need to work at a different tech company. But thankfully, Riley Walls over at OpenAI scraped tech company cafeteria menus and today he launched lunches.fli. I think it was actually yesterday. So he scraped the corporate cafeteria menus from a number of tech companies that you're obviously familiar with, not only tech companies and video, target, chime, century. Our sponsor is scraped in here. And you can see that century got an S tier for our taste and A tier for protein. Healthy, see, not too bad. Vegan A, OpenAI, S tier on taste, C tier on protein though, they got to get those numbers up. Riley's begging for it. He's, he's naming and shaming every time. That every tech company here pretty bullish for a doby that they went S tier on protein. S tier on protein. So you can go in here and target you can search every single company for how they did Starbucks. And video going S tier for taste, S tier for protein, F tier for healthy. So they had truffle duck con feet pizza, Galbi short ribs and Korean sesame rice. That's Szechuan Korean. There's some good meals in here. If you're looking for a job, it's probably hungry. This is going to be the decide, the big, big part of the decision criteria for where you end up. Could reset the entire AI talent war narrative. Lots of people are picking based on who's working with the government, who's not working with the government. Well, there's a new access to make your decision on do you want to work for a company that serves go to John Korean drumsticks or carnitas and tofu. That's the big question in 2016. Right. Tess like got B for taste, S for protein and D for healthy. And an F for vegan. They didn't do much, many vegan options. I feel like this all kind of track. There's lots of different options here. Well, you can go check it out at lunches.fi. And the last launch of today is of course, Jan LeCoon, which we talked about a little bit. One point zero three billion for one of the largest seed rounds ever, probably the largest for European country or company, which is interesting because he was in metaphor a long time. He wasn't in Europe. I guess he decamped to Europe to. AMI like the name advanced machine intelligence. This presents an opportunity for I think I think there was a normal machine intelligence. We need a million bozos in the data center yesterday. A million bozos. There's also there's good non-mempt terminism because in in French, you know, I'm he is is friend. Oh, I think there would have been alpha. Like there's a lot of these AI labs that have just names that are like machine intelligence thinking I'll advance to automated blah blah blah. He could have just done like LeCoon Industries. He's such a big name, you know, Ford Motor Company. Let's just do LeCoon technology company. I think the LeCoon technology company of friends. If you're pretty good, if you're pretty good, so not too late to rename now. Normal is upset that the logo looks very similar. I mean, there's only so many logos out there. Okay, last, but not least we got to talk about we got to talk about Vale, Matthew Prince. Yes. Says Vale resorts likely to open to bar down to where if you invested 10 years ago, you'd have done as well as putting your money in a hole. It's time for a change to become more asset light, sell off resorts and allow character and differentiation to return to skiing. And what I love is our very own John Conkel said cloud flare result. And this got me thinking sass company should buy mountains or just buy the naming rights to the mountain. We were pitching Cisco. I should be sales force mountain. Yes, we were we were pitching. Sales force mountain. We were pitching Cisco on getting the naming rights of the Golden Gate Bridge. You would be the Cisco bridge. It's already in the logo. Why not? That's our name rights. Where star North star. Octa mountain. Octa mountain. North star. ramp at the very least needs to get a single skate park. They've done a pop up skate park at this point leading into the Super Bowl. Just get the most definitive skate park out there. I'm sure there's something good. And who knows how it's doing financially. The story of Vale the rise and fall. But, you know, hopefully, hopefully if you've skied Vale this this season, you still had a fun time. More fun than if you'd invested 10 years ago where you didn't make any money. But that's our show for you today. Folks, leave us five stars on Apple Podcasts. We have our new. Do you have our new outtrip? Not today. We have a new outtrip coming tomorrow. Coming tomorrow. Coming tomorrow. Subscribe. I was excited for that. Hit the subscribe button. Leave the bell on so that you're notified so you can tune in tomorrow. Watch the full show. Three hours. Then it's your end. There's a little trip from deep in the X-chats. No flake mountain. No flake mountain. That's good. That's good. Okay. Thank you, Trip. Anyway, thank you for tuning in. Subscribe to our newsletter. The best Tuesday afternoon of your life. And goodbye. I love you. [BLANK_AUDIO]