TBPN Live - Bezos AI Play, Future of Airports, CAA Fund | David Reger, Mike Wior, Ariel Cohen, Jeff Tatarchuk, Matt Joseph, Ade Ajao, Jeremy Fraenkel

Episode Date: June 11, 2026

(00:31) - Bezos AI Play (15:44) - Is TSA Goated? (20:12) - Future of Airports (25:07) - 𝕏 Timeline Reactions (46:45) - David Reger, founder and CEO of Neura Robotics, is a pioneer in c...ognitive robotics, aiming to integrate robots into daily life by enhancing their cognitive abilities. In the conversation, he discusses the company's focus on developing robots with physical AI brains capable of performing tasks autonomously across various sectors, emphasizing the importance of diverse embodiments, including mobile manipulators and humanoids, to adapt to human-centric environments. Reger also highlights the establishment of Neura Gyms worldwide, facilities designed to train robots in physical tasks, thereby generating essential data to refine their AI capabilities. (01:00:23) - Mike Wior, co-founder and CEO of Allen Control Systems (ACS), discusses the company's development of Bullfrog, an autonomous robotic weapon station designed to counter small, fast-moving drones by combining AI, computer vision, and machine learning to achieve both speed and accuracy. He highlights Bullfrog's 100% success rate in neutralizing 13 Army-operated drones during a November field test, emphasizing its capability to address the evolving drone threat landscape. Wior also notes ACS's rapid growth, with the team expanding to approximately 250 employees and securing a $200 million Series B funding round to scale manufacturing and deployment efforts. (01:10:18) - 𝕏 Timeline Reactions (01:14:14) - Ariel Cohen, co-founder and CEO of Navan, has a background in product management and leadership roles at companies like Jive Software and Hewlett-Packard. He discusses Navan's significant growth, highlighting a 50% increase in usage and a 40% rise in revenue, attributing this success to the essential need for face-to-face business interactions. Cohen also emphasizes the company's strategic use of AI to enhance user experience, streamline operations, and drive efficiency in business travel management. (01:37:06) - Jeff Tatarchuk, co-founder and Chief Growth Officer of TensorWave, discusses the company's exclusive focus on building AI infrastructure with AMD GPUs, stemming from their prior collaboration with AMD during the Xilinx acquisition. He highlights the initial supply constraints of Nvidia chips in 2022-2023, which led to exploring AMD's offerings, and emphasizes the importance of developing a robust ecosystem to support AMD's hardware, addressing software gaps and reducing dependency on a single vendor. Tatarchuk also notes that while CUDA's ecosystem presents challenges, efforts are underway to create a heterogeneous stack that allows seamless switching between different GPU platforms. (01:47:30) - Matt Joseph, co-founder and CTO of Minerva, an AI platform for consumer marketing, discusses how their technology helps brands unify first-party data from various systems, creating a comprehensive consumer profile to optimize sales and marketing strategies. He highlights their expansive dataset covering 270 million Americans, enabling performance marketers to better understand their consumer base and tailor marketing efforts accordingly. Joseph also shares insights into their collaboration with the NBA, where Minerva powers consumer analytics platforms to assist teams in identifying and targeting specific audience segments for ticket sales and other marketing initiatives. (01:57:01) - CAA Fund (02:03:37) - Ade Ajao, co-founder and Managing Partner at Base10 Partners, shared his journey from co-founding Tuenti, the "Spanish Facebook," to leading Base10's recent $850 million fundraise, bringing their assets under management to $2.6 billion. He discussed the firm's focus on automating the real economy through applied AI, emphasizing the importance of understanding client needs over industry labels. Ajao also highlighted the evolving venture capital landscape, noting the rapid growth of AI applications in sectors like logistics and transportation. (02:14:32) - Jeremy Fraenkel, CEO and co-founder of Fundamental, discusses his company's development of a foundation model for tabular data, aiming to enhance enterprise decision-making by pre-training on billions of tables. He highlights the model's success in accurately predicting Argentina's 2022 World Cup victory ahead of betting markets and shares its current predictions for the 2026 World Cup, favoring Spain over France and identifying Argentina as a strong runner-up. Additionally, Fraenkel mentions that Fundamental recently raised $275 million from investors including Oak, Valor Battery Ventures, Salesforce, and notable angels like Alvin Srinivas. TBPN is made possible by:Ramp - https://ramp.comPublic - https://public.comCisco - https://www.cisco.comConsole - https://www.console.comCrowdStrike - https://www.crowdstrike.comFigma - https://www.figma.comMongoDB - https://www.mongodb.comNYSE - https://www.nyse.comRailway - https://railway.comShopify - https://www.shopify.comCodex - http://openAI.com/codexFollow TBPN: https://TBPN.comhttps://x.com/tbpnhttps://open.spotify.com/show/2L6WMqY3GUPCGBD0dX6p00?si=674252d53acf4231https://podcasts.apple.com/us/podcast/tbpn/id1772360235https://www.youtube.com/@TBPNLive

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Starting point is 00:00:00 Let me tell you about Figma. I push the Vigma button. Agents meet the canvas. Your AI agents now create and modify your Figma files with design system contact. You're watching TVP. That's a happy accident. Today is Thursday, June 11th, 2026. We're live from the TBP and Ultrium, the table of technology, the fortress of finance,
Starting point is 00:00:20 the capital of capital. Let me also tell you about RAM.com. Time is money. Save both. Easy use corporate cards, bill pay, accounting, and a whole lot more all in one place. I've got to adjust my microphone over here. Well, Bezos is getting very serious about the AI game. $12 billion raised for Prometheus.
Starting point is 00:00:42 It's just been six months since he emerged from stealth with $6.2 billion in funding. The industrial AI startup, as they're calling it, raised another $12 billion in Series B. It's just a thousand times bigger than a normal Series A and a Series B. You used to go from 6 million Series A, 12 million Series B. Now it's $6 billion Series A, 12 billion Series B. Serious dollars, but AI is expensive. The valuation, $41 billion. Back in November, there was very little disclosed about Prometheus.
Starting point is 00:01:15 We wrote about it a little. There was some speculation on the time. 41? 41 billion. Bigger than what's a $40 billion company? And this is a business that is buying, Existing companies? What?
Starting point is 00:01:31 That's the thing. We don't really know. We don't really know. But it's a lot of money. It could be buying companies and trying to transform them are around 30B to 40. Well, being able to raise that much capital
Starting point is 00:01:43 to buy businesses with that little dilution is a pretty remarkable feat that pretty much only Jeff Bezos could pull off. Yeah. So the Wall Street Journal has some more details and mostly it just gives you, takes you a little bit more inside the mind of Jeff Bezos. where he's thinking, like how he's thinking about the shape of the AI impact.
Starting point is 00:02:03 The headline is very clear. Bezos bats down AI job loss fears while launching new venture. New startup Prometheus seeks to build an artificial general engineer. AGE is the new buzzword. You thought we were at, we thought we were running out of them. We got AI, AGI, A-S-I-R-D-E. A-I-F-D, personal super-intelligence,
Starting point is 00:02:31 meta-super-intelligence, TBD, continual learning. Standard intelligence. Yep. Your regular intelligence. Non-standard. Ineffable intelligence. The irregular intelligence,
Starting point is 00:02:42 the regular super intelligence company. Of the dog patch. Yeah, dog. Something like that. But artificial general engineer is the new phrase, the new term. And he wants it to be able to design and manufacture complex, physical products.
Starting point is 00:02:58 So Jeff Bezos expects artificial intelligence to create a labor shortage in the economy. Interesting. There's some correlation between like liquid net worth and your projection. And your optimism? Right? Yeah. So he expects a labor shortage, rejecting fears that fast evolving technology will put humans out of work as he launches a new venture aimed at making engineers more productive.
Starting point is 00:03:25 The billionaire founder of Amazon.com, and don't forget Blue Origin, is co-leading a new AI business called Prometheus, which plans to build an artificial general engineer that can design and manufacture complex physical products, such as a jet engine. And we just saw some cool demos. I saw people vibe coding, Boeing 747. Obviously, it's just the outside. It's modeling it. It can pull different reference points from CAD files on the internet. But lots of cool demos, many powered by Fable 5.
Starting point is 00:03:55 seen some GPT-5 stuff as well, where people try and go and see the classic, like, Pelican on a bicycle in SVG. Well, you can see how you can draw a line from Pelican on a bicycle in SVG to functional jet engine in CAD that then we can actually go manufacture with step-by-step instructions for each part. Not that far away, certainly on the trend path, and that's what he's investing against. He said in an interview that the company's goal is to, quote, empower engineers and make innovation easier and faster so smaller teams can do much bigger things on much shorter time cycles. That'd be good. It takes forever to build a jet engine. It takes forever to build a plane. We've talked to multiple founders that have been trying to build new plane designs for decades and haven't really been able to scale them up, although they've made incredible gains and traction and demos, actually getting new planes on.
Starting point is 00:04:50 the runway, safely, approved, has been far too long. If AI speeds it up by 10%, that's like years. It's crazy. The Amazon and Blue Origin co-founder joins a group of long-time technology leaders that have jumped into the AI fray. You got Uber co-founder, Travis Kalanick, Coinbase co-founder Brian Armstrong, Robin Hood co-founder, Vlad Tennev, also Brian Chesky over at Airbnb. These folks are all building new companies around the AI boom, among others. Demetheus, which said it is valued at about $41 billion, has raised $12 billion from investors, including Bezos, J.P. Morgan, Chase, Goldman, Sacks, and BlackRock. Went straight to the big banks.
Starting point is 00:05:31 Yeah. Like, invest VCs are just like, yeah. Well, yeah, I mean, there's another world where doing six on 40 billion is just like your IPO. Yeah, totally. Yeah, that is IPO numbers. That's, yeah, that's a crazy amount of money. Yeah, you've got to go to the banks for this. They've hired 150 people across San Francisco, London, and Zurich.
Starting point is 00:05:52 Interesting. Despite Silicon Valley's enthusiasm for AI's promise, the broader population has become very wary, fearing widespread job losses. Some of the pessimism about AI among young people is the opposite of reality, Bezos said. And we've been seeing this in the jobs numbers, like the job, the economy is running hot, inflation is high, but also unemployment is very low, lower than expected. We're adding a lot of jobs. AI will mean fewer workers are needed in jobs that exist today, but it will also create far more opportunities and increase productivity, he said. That's a very white-pilling statement. We'll see how it plays out.
Starting point is 00:06:31 Bezos argued that if AI makes it cheaper, faster, and easier to invent things, employment will ultimately rise because even though you're shrinking the number of people needed by 10x, the technology will create more than 10x as many opportunities. And he certainly saw that with Amazon. The number of store workers in physical retail stores probably shrunk, but the number of entrepreneurs building products, selling them on Amazon, in and around the Amazon ecosystem, not just in the warehouse, but in the broader Amazon ecosystem, probably increase. And we certainly saw that in the broad job numbers in the United States. Like the labor market has grown unequivocally since 1999.
Starting point is 00:07:09 We've added jobs all over the place as people have shifted around. there's going to be two there are going to be two earner income households where one earner drops out of the labor pool because there's going to be so much productivity he said that's an interesting take he's saying that there's going to be so much more productivity that some some people will choose not to work and of course that won't necessarily show up in the unemployment rate because the unemployment rate only measures people that are actively looking for jobs so you could have a world where the workforce is shrinking in terms of of the number of people that have typical jobs is declining, but the unemployment rate is also very low because you have more single-earner households, one person working, making more than enough money to support the whole family. Sort of an older school mindset carkins back to, you know,
Starting point is 00:08:02 the maybe apocryphal stories about the mid-20th century, but certainly an optimistic view nonetheless. Yeah, it's notable neat. Levels have been rising since 2021. That's not employed in education or training. Not in employment. So that trend started well before the current AI paradigm. Yeah.
Starting point is 00:08:27 But wouldn't be surprised if it continues, hopefully, for the reasons that Bezos is talking about. I think there's going to be a lot of focus on his summer plans, John. Yeah. I think there's going to be more scrutiny than ever. You know, this is a guy that, uh, can hardly jet around the Mediterranean on a big boat without being photographed every single day. That's true. And this was prior to these back-to-back, you know, multi-billion dollar rounds.
Starting point is 00:08:55 And so going into the summer, I think people are going to be paying extra attention, right? Is he doing back-to-back days at the beach club, or is he keeping it to a four-hour window on Saturday, lock him back in by Saturday night, getting a good night's sleep, spending his Sunday, you know, preparing for the, for the coming week, right? He does have a co-CEO. Maybe they've split it up. Most people would think co-CEO is like they're both involved in every decision. Maybe it's more of like a he takes the winter and fall quarters
Starting point is 00:09:25 and the other co-CEO takes the summer and spring. Like if you divide it up that way, no one's ever tried that with a co-CEO. Just like you run the company for six months, then I run the company for six months. And you're completely off on vacation, maybe. Yeah, yeah. The alternative is, you know, Bezos would say like Friday. from 7 p.m. until 2 a.m. on Saturday, I'm not going to be super available, super online. And then also from 2 a.m. until around 11 a.m. I'll be fully, fully offline. Then there's about a one hour window on Saturday where you can take like a lunch break or whatever you need to do. But then from 1 p.m. until 2 a.m. Sunday, I'm going to be offline again. But back, you know. Maybe if you're co-ceos, you should just do. I, I'm C. I'm C. I'm C.
Starting point is 00:10:12 of TBPN on the odd hours and you're on the even hours. And so there's a big decision that comes down? Is that the secret to nonstop productivity and seven-day work? Interlace them. Yeah. So, oh, it's 3 a.m.? Call Jordy. Oh, it's 4 a.m.?
Starting point is 00:10:26 Call John. Co-CEO's working out. Beezza's co-CEO of the new company along with Vic Bajaj, who a Google veteran and former healthcare founder and investor. They started Prometheus in late 2024. So people have sort of pegged this as like late in the cycle. It's, oh, it's 2026 and they're jumping in. They've been working on this for two full years.
Starting point is 00:10:51 And obviously, Jeff Bezos has an incredible amount of AI and robotics experience, both in the recommender systems in Amazon and Kiva robotics, which is probably like the, you could make the argument that it's like the Instagram of the robotics. Boom. It's like one of the most successful acquisition. We're talking to the founder of a robotics company at 1145 today. So his co-CEO is an adjunct professor at Stanford School of Medicine who previously co-founded Google's Life Sciences Division.
Starting point is 00:11:22 No big deal. That's a huge accomplishment. And the company's goal is to build AI systems that can assist throughout the entire engineering process. That ranges from designing products and predicting their performance to manufacturing them. We're trying to approach that problem end to end. They also held talks, this was the big one. They held talks to raise a hundred billion dollar fund, which is a lot of money. We'll talk about SpaceX in a bit, but SpaceX is looking for 70 billion, and it's a huge business with so much attention.
Starting point is 00:11:50 This is an entirely new thing, and they want to put $100 billion to work. But, of course, Bezos has plenty of money to backstop it, anchor it, do whatever he needs, and he has massive connections. So the Wall Street Journal reported this, and they said the goal was with that fund to acquire manufacturing businesses and deploy AI across their operations. And remember we did that whole list of like what could they actually buy for a hundred billion dollars? What would be a good buy? And there were some very interesting like you could buy like Goodyear for example and work on tire manufacturing and I think I was wrong in all my predictions, but it was an interesting exercise to just take a little tour of the American manufacturer. But my read on it is some combination of like a foundation model that allows you to generate full product, full full full full products basically, like product specs, designs, et cetera, to high fidelity.
Starting point is 00:12:43 Yeah. And then something like a send cut, send style infrastructure where you can just make that product on the fly. Yeah. And that is the moment we're in right now. We're on your computer. You can make at least an image of anything you want in the entire world. But then there hasn't been that much of a speed up on the other side, right? And so closing the loop there is going to be very, very cool.
Starting point is 00:13:06 Wow. This company, Prometheus, is bigger than AIG, the insurance company. Bigger than CBRE, the real estate company. Are you on companies marketcap.com, John? I'm not a Manchester B. Bigger than Bidu? Wow. That is crazy.
Starting point is 00:13:24 John, do you think that they're going to be punished for their hubris and chained for eternity with an eagle? The nominate of determinism of Prometheus is sort of crazy, right? Yeah. Chained up for eternity, eagle comes, eats his liver every day. Isn't Prometheus, like, the third time an AI company has done this? Because there was the Prometheus Data Center at Meta. There was a company called Icarus, too. I got in trouble for that one because I was talking to a New Yorker reporter about that
Starting point is 00:13:50 and sort of overstepped a little bit because I was like, they have a great team. I'm rooting for them. So I think we need another company named Hercules, right? Because Hercules saves Prometheus. He frees him from the chains. Okay. But then Hercules. Is there a company called Hercules?
Starting point is 00:14:06 That's a good company name. I like that one. Yeah, that's great for chat. But yeah, so if raised, it would be the latest in a series of investors buying established companies and using AI to improve productivity and margins. We've seen a couple of these funds roll out, the AI roll-ups, AI modernization, private equity firms. Obviously, private equity firms themselves are doing this. But no one's come in with $100 billion.
Starting point is 00:14:28 You're in a completely different tier from all the other companies that are doing this. We've had many of them on the show. AI's advances have paved the way for quote a multitude of golden ages not just one happening simultaneously Bezos said he said this is the best time to start a company I love the optimism crazy you can buy strategy micro strategy and Prometheus are roughly the same value the same as well as coin strategies in a sort of a rough spot right isn't bitcoin down no it's a good it's I mean it's an interesting it's an interesting bet right What do you want to buy?
Starting point is 00:15:06 What do you want to own at $41 billion? Yeah. Microtrategies at $42, technically. Yeah. You can buy Reddit. That's $33 billion. Anyway, the next story we got to talk about is gamers are rising up.
Starting point is 00:15:20 Gamers are rising up. You heard that the government was trying to put gyms in airports, so the gamers had something to say. They're pushing back. Airport lounges are catering to gamers. The airport lounges where video games are more important than drinks. Travelers can kill time. play everything from Mario Kart to Minecraft before their flight.
Starting point is 00:15:38 We got to do this. Get a little rust going next time we're flying. Let's do it. The first thing David Lee has the airport's Yang noticed? Before we dive into this, has TSA gotten like better, more consistent? I have a hot take on this. I think TSA might be goaded. I think they're pretty dial.
Starting point is 00:15:56 I think it's good. Out of the last maybe 30 flights. Yeah. I have not waited more than 30 minutes. Yeah. in a in a security line yeah and and that makes like commercial is obviously still um uh torture torture it's sort of a it's sort of a but uh humiliation ritual um but that being said being able to plan on a 30 minute security line makes commercial travel uh pretty yeah pretty i mean it was the
Starting point is 00:16:31 butt of every comedian's joke because it's so universal everyone's been through t S SIDS say it's very slow take your shoes off there's a million little places for comedy gold that's highly really don't have to take your shoes off yeah you don't have to even take your laptop out no it's it's getting back and there's like i mean i guess it's getting more surveillancey because they take a photo of you like 17 times on the way through you can refuse that though you can you can just say no nick nick does that you could just say no but then don't yeah you can just say no they don't they used do about, I will say about two years ago, they would tell you more frequently, like, it's optional. Yeah. It's optional. Okay. Now they're just like photo now. Okay. And you can
Starting point is 00:17:10 read the text and it says like, you can opt out? Okay. Can you opt out of the whole thing? Is it all just like a high agency test? You can just be like, actually I just want to go around. I don't even want to go through the metal detector. And they're like, yeah, right this way, sir. No one's ever thought to break out of the matrix, but you reach the final level. You reach based reality. Good job. Continue. No, but truly being able to plan on it's going to take me a like 30 minutes to get through. You can like comfortably show up 45 minutes before your flight. Yeah, reliable. Make it every time. Every time. Every time. Which means that you're pushing it even more to them. Oh yeah. Oftentimes I will be getting through security and John will text and be like,
Starting point is 00:17:46 just got my car. I'll be there. I'll be parking in 45 minutes. And I'm like, I thought I was cutting it a little bit close, but mandate of heaven, you always make you always make it. I always make it. And if you're not missing flights at least like 10% of the time, you're actually setting your, you're not, you're not cutting it close enough. No. But you have to be taking some level of risk or else you're just wasting time. No. Yes. No, because often, oftentimes the thing that you were doing, your goal is to never invest in a company that goes down. Oh, you're a VC. But you're, but you're, but if you get a single zero in your portfolio, you can never invest ever again. Would you do that? No way. No way. No way. I'm not engaging. No way. So you're going to have some zeros in your portfolio. You're going to
Starting point is 00:18:35 miss some flights. But on average, your DPI is going to be quite good, which is? No, but the expected Yeah, yeah. Comparing some, comparing that. This is where the argument goes. I can just have as much fun at the the airport. So I don't mind showing up five hours early. No, no, but okay, if you miss your flight and then game, the next flight is. is like three hours. Yeah, yeah. Then, like, yes.
Starting point is 00:18:56 It doesn't, it doesn't math out because, like, if you just get your flight 10 minutes, like, a little bit earlier, yeah. Then it'll, like, match. Like, I think it makes sense.
Starting point is 00:19:03 So, so basically, like, like, let's say I fly once a week and I save an hour with my strategy. That's 50 hours a year, and I only miss one flight. You're not, I save,
Starting point is 00:19:14 I save, I save three hours. And you're not, you're not, you're not, like, saving the time. I am. I am.
Starting point is 00:19:19 You were probably, you were probably at your, just, like having another coffee at the hotel and or like doing something having a conversation that you could just have. No, I was literally, and now, before I go to the airport, I am literally locked in at the clock factory, okay? I'm locked in at the clock factory.
Starting point is 00:19:38 I'm being the most productive I've ever been. Making clocks. I'm making clocks, clock by clock. And you think that that time's useless. Okay, now you can be gaming at the airport. Yeah. So I should get there away or wait. I should get there.
Starting point is 00:19:53 I should get, if I want a prestige on God, I should get there maybe like 70, two hours early. Yeah, John, you're just like, yeah, I got to get up at 2 a.m. this morning. Like, I got like a, I got a super early flight. They're like, oh, what times your flight? 11 a.m. 11 a.m. Like, yeah. Yeah. Is this a coincidence?
Starting point is 00:20:10 GTA 6 dropped and you're going to the airport 10 hours early? Well, now you can because airport lounges are starting to cater to gamers. Gamers are the most important constituency. We're going to have a gamer president. day. So the first thing that David Lee and Cassie Yang noticed when they popped into the new lounge in Terminal 1 at Minneapolis-St. Paul International Airport on Friday wasn't a robot bartender, which they have apparently. I believe Ben will be traveling through Minneapolis-St. Paul. We should give him a little gaming challenge, see if he can get to prestige on Cod before he hits his
Starting point is 00:20:47 flight. It was something only parents in this digital device era could appreciate unfettered access to their phones. Their kids, 8 and 12, were busy playing Mario Carton Crash Bandicoot at the lounge's video game stations to commandeer their phones for some pre-flight screen time. The portal lounge is by design, not your grandfather's airport lounge. Yes, there is a small buffet and bartenders, robot and reel that pour that lounge libation staple and old-fashioned. But the focus is on entertainment. They're gaming. It's the latest concept from a husband and wife team on a mission to amp up airport downtime.
Starting point is 00:21:27 Emma and Jordan Wallbridge, with backgrounds and hotels and medical device sales, respectively, opened their first airport video game lounge at Dallas Fort Worth International Airport in 2018, called Gameway. There are now 11 of them at airports across the country. and two more due to open this year. Portal in Minneapolis is the latest iteration of a concept with a few more bells and whistles. They zeroed in on video games
Starting point is 00:21:49 after regularly visiting lounges on business trips and finding them to stay. I always felt like I was in the library, Emma says, with some guests slushing others and throwing sid die. This picture makes me feel like I'm a television screen. What do you mean? Oh, because they're looking at you like your... With the control.
Starting point is 00:22:07 You're the game. Yeah, interesting. She's played Mario Card for years. Jordan has played Halo, which is getting a refresh soon with campaign of all. I think this is going to be more successful than like the whole airport gyms movement. I think so. Like every once in a while, somebody will post online. Why don't airports have gyms?
Starting point is 00:22:30 And there's been a few moments where it would have been nice to have a gym. But imagine a world where, you know, even just 5% of your flight had just gotten off of an hour on the treadmill. Yeah. And he was getting on the light. Pretty brutal. Pretty heavy breathing going on. I don't know.
Starting point is 00:22:51 Golf simulators in airports. That could be done that before. You've actually done that. You've actually played simulated golf. Interesting. Racer Martin. What a crazy name for a 19-year-old chef from Arizona. R-A-Y-C-E-R.
Starting point is 00:23:07 That's a cool name. Racer. He plays Apex Legends at the Gameway Lounge at Chicago's Midway Airport. I plunk down at the gaming station and embarrassed myself playing Mario Kart over a lunch of Diet Coke and ruffles cheddar and sour cream chips. The patient gameway manager who used to work at GameStop assured me that it just takes practice and encouraged me to play at home. Another employee did her best to introduce me to Minecraft, even though I gave up after five minutes.
Starting point is 00:23:32 This Wall Street Journal reporter is clearly learning the ropes of these games. Video gaming is the main attraction at the much bigger portal lounge in Minneapolis, which opened over Memorial Day weekend in the deconcourse. but it's just one attraction. The food is more lounge-like with build-your-own bowls. Slop bowls. Buffalo cauliflower salad fix is a couple dessert. Adding to the futuristic feel, a robot bartender takes the center stage pouring drinks. It's from the same company as the makers of the bionic bar on some Royal Caribbean ships at almost 4,000 square feet. Portal isn't on par with, say, an American Express Centurion lounge.
Starting point is 00:24:07 It's more like one of those smaller escape lounges. R.C. Cola is on tap. There's music. outlets galore and plenty of seating but no dedicated bathroom the gaming lounge is in the back and bright gameway anyway you can go check it out seems if we let john keep going here he would just talk about airport gaming no no i would talk about railway because railway is the all-in-one intelligent cloud providers use your favorite agents to deploy web app servers and databases and more while railway automatically takes care of skipping i would like a railway lounge in every airport you you joke but a vibe coding lounge is coming like these gaming
Starting point is 00:24:41 PCs, they can do local inference, you can fire up your agents, you can be, you can be doing all sorts of stuff. I like it. I'm surprised, yeah, I wonder what the cybersecurity stack is like there. It's got to be sort of tricky to have someone, you know, give them free access to a pretty powerful PC. They're going to install some weird stuff. Unfortunately, the lovable airport lounge is coming. It's like, have five minutes, build an app. Build the next hit app. Yes, yes. Well, I think the next hit app might be Halo campaign evolved. Let's watch this video from Blue Thunder. What do you think? Are you a Halo guy? Do you ever play Halo? Not really. Never played Halo. Never captured my heart. But I never got into the whole hardcore multiplayer scenario, but it does look good. Doesn't it look like fully refreshed? It looks
Starting point is 00:25:27 very modern AAA. Blue Thunder says this is one of the best FPS game he's ever seen. What if they made an airport size lounge, sort of like a facility just for 1V1ing on Rust? That'd be great. You could potentially get, you know, 100,000 people all in the same place, land party matched up. Yeah. This could have been like a one-shot output of an LLM. Yeah. When I saw this, I wasn't sure if it was AI video or vibe-coded version of Halo.
Starting point is 00:26:03 Did you see that thing where someone was trying to build GTA-6, like vibe code GTA-C? You saw this? It's such a funny demo. I mean, you don't want to hate on it because, like, it is, like, the tools are very powerful, and, and you do imagine that over time you'll be able to. But the first effort video was very funny. Well, we got an X Halo 3 Pro in the chat, Alex. He says, we'll be a conservative pickup of nostalgic non-PVP gamers don't expect it to do numbers. Interesting.
Starting point is 00:26:33 X Halo 3 Pro, what was that like? Interesting. Yeah. Day one of building GTA 6 still feels fake. Typing that out loud. Upgraded to Claude Pro Max. 20x just for this. Spent a couple hours getting the whole project structured
Starting point is 00:26:50 and pushed to the rebouse sandbox is up and running. I mean, this is actually where you'd start. Like, it's not that unreasonable, but it's just like, it's funny because it doesn't look anything like any GTA game. Wait, what? You didn't even seen this? You haven't seen this. So Matt Schumer, former guest of the show.
Starting point is 00:27:07 and creator of the viral essay, something big is coming where he predicted, something big is happening, where he predicted that AI would cause 10% unemployment by April. And compared, likened it to COVID. Wait, that was just pretty. Yeah, he said that it was going to be like a COVID like takeoff in the economy. He didn't map the, the economic numbers directly. But we did. We were like, okay, like, what was.
Starting point is 00:27:37 COVID actually like in 2020. And we went from February, which is when he wrote his essay, February of 2026, saying AI is real. It's going to change things. It's big, which a lot of people have been saying for a long time. And I was like, I agree, but I don't think in April, May, like the NBA is going to be shutting down because of AI. Or I don't think that the, like, the unemployment rate is going to spike to 10% overnight.
Starting point is 00:28:02 Like there might be little pockets of layoffs related to AI. And there might be some. If anybody wanted to make AI less popular shutting down the NBA finals because of how good the models have gotten, just telling everyone. All the end player players are like, we got to invest. We got to invest. They got to invest their time. Oh, they got a vibe code. Yeah, maybe.
Starting point is 00:28:24 They don't want to get left behind. I don't think they'll be left behind. But Matt Schumer said, someone should set up a community funded fable run with a prompt like slash loop until you've created a GTA 6 caliber open world game. with a quality and scope surpassing what is shown in the initial trailers. And he says, happy to write the prompt if someone organizes this, which some people were making fun of. But it started. Zwen is doing this. T's 25, he likes Claudec, Codex, tech, AI, startups. I'm rooting for this. I think this is going to be very educational for Zwen. Although, yes, this video is very funny because it doesn't, it doesn't look like GTA yet. But, you know, if you can get to anything, that's at all playable or interesting.
Starting point is 00:29:10 Even in a month, even in a year, take as long as you want. If you can do it, if you can get a million people to pay 10 bucks for this and it only cost you $5 million in inference and you did it as a solo dev, like that's a $5 million profit.
Starting point is 00:29:24 Like that's a great outcome. Like I love indie devs. I love that world and I like that these tools are opening up more opportunity for people to go mess around and build cool things. It's got to be really entertaining to just think about building like a vibe-coded game. Some of the games look really good
Starting point is 00:29:42 already. Of course, like even if you- Strauss is going to be pretty worried. Now, did you, did you hear him talking? The Prime Eugen had a good reaction video to David Senator talking to Strauss-Zelnek and he's like, finally like a normal AI CEO because he basically says like, we have a mobile games. We have a mobile games division. We have, we have, we make billions of dollars from it. We make a lot of money from mobile games. And, um, and there are, there are direct clones of our games that launch every day. Like, the software has been good enough that you can clone our games. They launch every day. The business is much more complicated than that. The IP matters, the distribution matters. The, the functionality of the game matters. There's so much more to it than just a carbon copy.
Starting point is 00:30:27 So he says, yes, you could just go vibe code GTA say. people are still going to play our game because of all the other strengths of the take two business and I agree I thought it was a very good take Anyway, let me tell you about the New York Stock Exchange Want to change the world raise capital at the New York stock exchange Just do it some big IPOs happening this week next week. It is IPO season But it's also trucking season the four-year US trucking slump is officially over says the world Street Journal. It's over at last. Truckers who held on through almost four years of slumping freight
Starting point is 00:31:07 rates finally have something to celebrate. It feels like a breath of air for an industry that maybe felt like they were running out of air, said Web Estes. President and Chief Operating Officer of Estes Express Lines, a Richmond, Virginia-based carrier with revenue of about $6 billion. Freight rates are finally climbing. Good news for them. Trucking executives are calling an end to one of the longest freight downturns in carriers' memory, they say rates have risen to more sustainable levels after a period of low earnings coupled with Trump administration crackdowns and immigrant drivers, pushed many carriers out of the market. Logistic managers index, a monthly survey of supply chain managers showed transportation prices increased in May
Starting point is 00:31:51 at the fastest rate for any metric in the report's 10-year history. So if you scroll down, yeah, that chart is crazy. So good news for the truckers, of course, course this is going to push up, you know, prices and inflation potentially, but it is good to have a healthy trucking industry, a healthy dry van spot rate, which I'm sure you've been following intently. Dry van spot rates for the week of June were up 5,200 basis points. Let's go. 52% year over year, excluding fuel surcharges, according to a report. So the fuel prices get passed through, but the economy is doing well, and so prices for dry van spot rates are increasing. As he said, he closed the stronger freight market over the last few months.
Starting point is 00:32:38 The nationwide company is increasing its fleet of more than 10,500 trucks and expanding its pool of about 11,000 drivers. What is driving this? This has been a supply-driven freight recovery as opposed to a demand-driven freight recovery turnaround comes after four years in which carriers have been squeezed by a combination of too many trucks on the road and not enough loads. Drivers rushed into the industry during the pandemic. So there was a boom in online ordering, shipping, all the different things that happened during COVID. Consumer demand drove freight rates to record highs. Rates plummeted in 2022,
Starting point is 00:33:17 forcing hundreds of thousands of smaller carriers out of business. Many truckers held on, even as costs for drivers' equipment and insurance rose. The exodus accelerated over the past year. And trucking specialists say the industry has finally found in equilibrium where the supply of trucks is low enough to lift rates, which will, of course, bring more trucks into the market, and rates will adjust, of course, but higher fuel prices due to the war have pushed up trucking companies' expenses, but operators are largely passing along those costs to their customers. So anyway, let me tell you about Shopify. Shopify is the commerce platform that lets you grow with your business and lets you sell in seconds online, in store, on mobile, on social, on marketplaces. and now with AI agents. We have some breaking news. What's the breaking news?
Starting point is 00:33:59 Ty Morris says on Saturday, we finished construction of set number two. Set number two. So Ty had built a set for his interview with Elon Musk. Yes. It sounds like they built it in a place that they were only able to occupy for this week. Seven days. So they're shifting. So they're shifting.
Starting point is 00:34:21 And that was on June 6th. This is gripping. This was a trending story on X. He says, for the past three months I've been asking myself, the simple question, what would Elon do? Elon would build the rocket and put it on the launch stand before he got approval. He would ask, what's the biggest bottleneck to achieving my mission and then go about systematically undoing the bottlenecks until he and his team had made the impossible happen? A maniacal sense of urgency is our operating principle. And so he has built yet another set that I think can last a full month.
Starting point is 00:34:54 and hopefully he lands the interview. He's incredibly pumped up for this. And the meta story of him building this set has done better than most podcasts. There's more views on... I want to read, John, I want to read the summary of the book about the story of Time Wars getting you on on his podcast. Like 7,500 people, 2 million people watch the video.
Starting point is 00:35:24 about the set. And so you do have this a dynamic where the meta story is more interesting or it's by default more interesting because the interview hasn't actually happened. But there are plenty of Elon interviews at this point, like he does a lot of interviews, that don't go super viral. Like he did this interview with Jamie Diamond, and I think that's fully recorded. I think you can just search it and watch it. But I don't know that that's something that like everyone in tech saw and everyone in tech talked
Starting point is 00:35:52 about. But this is a story people are talking about, the meta story. And people love to see bold moves. People love to see building and all these crazy things and risk-taking. And all of that is on display. And so Ty Moors is getting a lot of attention. So good luck to him. Godspeed, Ty.
Starting point is 00:36:10 It is a beautiful set. It is. It is. Texas is America's new center of gravity, says the economist Exxon's reincorporation. They were in Texas. left Texas, they went back to Texas. There's one more feather in the state's cowboy hat, says the economist, just when I thought I got him to, just, this is a hilarious, hilarious song lyric. Just when I thought I got him to fall in love with Tennessee, I should have known better
Starting point is 00:36:40 than to take him back to Abilene, Abilene, Texas. They were singing about data centers in Ella Langley's Choosing Texas, a song that has ranked near the top of America's Music Chart. throughout 2026. Some of those listens may be coming from policymakers elsewhere in the country, much like Ms. Langley, they are losing to Texas. On May 27, Exxon Mobil shareholders approved a plan to cut the oil giant's ties with New Jersey
Starting point is 00:37:07 and reincorporated in Texas where it has long had its headquarters. It's not alone, according to CBRE, a property firm. At least 1804 companies shifted their headquarters to Austin, Dallas, or Houston between 2020 and 20. Among them, Tesla, a car company, and Caterpillar, a maker of construction equipment.
Starting point is 00:37:27 Texas is steadily establishing itself as America Inc's new center of gravity. No state receives more business investment or is adding more people to its population. From 2020 to 2025, it created roughly a fifth of all net new jobs in the country. Wow. In the early 2020s, Texas was luring remote workers, fleeing high taxes, exorbitant house prices and bad policies. policies in America's coastal metropolises while benefiting from the Biden administration's subsidies for green energy and chip making facilities. Now the state's dominance and energy has made it a major beneficiary of the data center boom. Meanwhile, its technology and finance ecosystems have been
Starting point is 00:38:05 deepening. This summer, it will ring its first standalone burst, the Texas Stock Exchange, joining outposts of the New York Stock Exchange and NASDAQ already operating in the state. Donald Trump has called the New York Stock Exchange's new brand. an unbelievably bad thing for his hometown of New York, even if his social media venture was the first business to list on it. So that's a very funny thing, but he was obviously giving that in the context of like New York is defined by its exchanges and in the context of just New York, the city losing out to Texas
Starting point is 00:38:41 or New York State losing out to Texas in any way is bad for that state, I suppose. The state's appeal is to Yuppies. To Yuppies is growing with every, stream of a country song. I've been listening to a lot of country songs. Joe Wisenthal plays in a country band, blues band. Who knows? Maybe he'll move to Texas one day. People ask a dream guest. Yeah. And I tell him a dream performance. Oh, yeah. Joe Wysenthal. Yeah, acoustic set. Ooh, unplugged. Unplugged. Tiny desk. A tiny desk. A tiny desk. What if we set him up with a slat wall set? We got to get Roger from Konday Nast. He can jam. Get a couple of people. Yeah, but a little
Starting point is 00:39:19 Slatwall set. Yeah. And he could just play. And an SM7B podcast microphone on the guitar? That might be the trick. Might be the trick. To understand its ascendancy, start in Houston, heart of the Texan energy industry. It's oil and gas barons have been raking in profits
Starting point is 00:39:37 as a result of the Iran war. But over the past years, the state has also become a hub for green energy. This year, it's expected to build two-fifths of all utility scale solar in America, a technology for which it's wide open, Flatlands are ideal. Interesting.
Starting point is 00:39:52 We've got to talk about the Buzz Lightyear GT3RS. We've got to get to that before our first guest arrives. Let's scroll down and find the latest, the latest and greatest from Porsche and the Pixar company. They're teaming up for the launch of a custom GT3RS. Porsche's CEO first, he said the company will not produce an electric 9-11, but they will produce the Buzz Lightyear GT3RS. Can we play sound? It also says Space Ranger, light ear.
Starting point is 00:40:23 My vintz are going to be purple, and Porsche even commissioned Goodyear, to make the tires say light year, just like they do in the movie cars. I get more painted graphics here on my roof. My roof fins are going to be painted. My intakes are going to be painted. My entire wing is painted,
Starting point is 00:40:37 and it even has a Space Ranger logo painted on the back. As soon as you walk into the car, I get a plaque that says to infinity and beyond. I have lightier branded floor mats. I get carbon bucket seats, but this time the carbon is actually purple. I get a Space Ranger logo on my head, rest, another one here on my roof, suede on my steering wheel, more on my dash, a one-of-one
Starting point is 00:40:54 plaque, and even my key, has the Space Ranger logo. There's also a Woody version that's based on the 9-11 Carrera T. They made the paint look like actual denim. Damn, Woody kind of got mocked. Poor Woody. Buzz gets an R-S, and Woody gets a T? Yeah. These gorgeous denim and leather teeth of Woody's badge and boss on the headrest.
Starting point is 00:41:16 I get a one-of-one plaque, wood on my dash, a leather steering wheel, and, and, you know, They should have made it the ST. Yeah. Missed opportunity. Yeah. That's the piggy bank. They'll do the piggy bank. They'll do the piggyback.
Starting point is 00:41:26 Instead of saying Targa, it says Jesse. In Jesse's car, you get a plaque that says, I get cow print floor mats. Wow. They do one for the T-Rex? Do they do the T-Rex? You know the wrecks? The T-Rex?
Starting point is 00:41:40 You got to do the off-road Cayenne Turbo. So which one would you take? This guy's video, like his format, so really, really, really, exposes my ADHD. Oh, really? Because of the editing or? Yeah, I'm like, wow, this video, they really, this video could be like a 10 minute video.
Starting point is 00:41:59 Yeah. He's condensed it down. It's crazy how much he's condensed it. He goes through everything. And I think every line is like written and then, and then he says it multiple times. It's so SEO optimized. He's really good.
Starting point is 00:42:09 You search any car. Like, this is the most efficient way to figure out, like, is this interesting. No, Forrest Auto Reviews is really cool. I'd love to have him on the show. He also has like incredible. access to Chinese vehicles. I'm not exactly sure how that happens. I think he just has good relationships with the Chinese automakers. So if you want to learn about the new Zeker and stuff,
Starting point is 00:42:31 like he'd get, yeah, he's the one, he's how I found out about that crazy Chinese SUV that has a gas motor range extender for an otherwise electric car. So the range is like 900 miles. And I think he can actually get over there and tour the cars. He does fantastic. work. Would you pick up a regular GT3RS or the Toy Story GT3RS if they were the same price? Which are you going with? I tried to watch Toy Story with my little guy. Tried? No, no. I was watching it with my little guy and it was too scary. No, it was too scary. We had to turn it off. Yeah. So right now, right now. There are some scary parts that that child's head with the pain. Yeah, with a little rough, little rough. So this is, this is, this is, this is. This is, this is.
Starting point is 00:43:19 not the right car for my household yet. Too scary. But I can see it in the future. The GZ through R.S too scary, yeah. Wild. What is the, we got to go back to the Ferrari, Luce. Luchet? No, the fact that images, too, has just fully democratized, like, car designs is pretty incredible. So what are we looking at here with this post? They had just one job. It's just someone that took... Okay, the basic design. Basically, they're like, Nor the fact that the luce was meant to be like a daily with more seats. Yep. And just said what would an electric Ferrari look like if you're...
Starting point is 00:43:58 This is not an electric Ferrari. It has four tailpipes. This is a natural gasprian rear mid-engine V8. Oh, maybe that's the point of the post. They said they just had one job to do. But it's like... But it's like... Okay. Yeah, I get it.
Starting point is 00:44:13 You like V8s. You like gas cars. You like things that are designed differently. Like, Ferrari will sell you one of those. have them. Like they have the 296. They have the Testarosa. They have the SF90. They have the California and there's a new one. They have plenty of options in that category. They don't have an EV. They want to do something different. I don't know. This does look cool. It looks cool, but it's like that also already exists. Like that's not something that's necessarily like new.
Starting point is 00:44:46 He says Johnny Yikes. I don't know. I think. I mean I agree like this one looks aesthetic it looks cool but like it doesn't check the box that they wanted to check which is like a five-se the first five-seater first electric car first something with like you know this battery set up and all this other stuff like they wanted something experimental again like it does seem it does seem risky and the response has been really negative but like like clearly it wasn't like oh they were trying to go for this and they wound up in some crazy place. Oops, we put an electric drive train in it.
Starting point is 00:45:23 We'll see if this guy's still posting that after driving through Cooper Tino a year from now. Just wall-to-wall traffic just sitting in a field of Luchase. Yep. Just move in one inch every minute. Well, they did the buzz light year GTTRS. Should they do the Shrek Luce or get some DreamWorks collabs going? Pull it up in the Shrek Green Luce. images two.
Starting point is 00:45:49 Get it working right now, Jorny. The Shrek, the Shrek would go unreasonably hard. That might swing you. Shrek's not too scary. You could do Shrek. That would be acceptable in your household, I think. What about a, while that's pulling up,
Starting point is 00:46:07 make a donkey. Look at this 944, the legendary 944 from Porsche. I made this grand return in 20, This is a cool design. I love the 944. Looks great. Yeah.
Starting point is 00:46:21 That would be interesting, especially given that the CEO of Portia has said that they will not produce an electric 9-11. They've got to do other things. Maybe the 9-44 is the trick. Anyway, let me tell you about Cisco, critical infrastructure for the AI era, unlock seamless real-time experience is a new value with Cisco. And we have our next guest in the waiting room, David from neuro-robotics, here with a fantastic. Fantastic fundraise. Welcome to the show, David. How are you doing? What's going on? Hi. I'm doing great. I made it to your show. So awesome.
Starting point is 00:46:54 Incredible. I mean, I'm with this fundraise. Incredible. We're honored to have you. It's crazy. We missed you earlier. But it is your first time on the show. So please introduce yourself. Tell us a little bit about the company. We'll go through the fundraise. And I have a bunch of questions about robotics because it's always a fascinating topic. But I let you kick it off. What a day to be announcing a massive round in physical AI. Oh, yeah. Because there's only one person in the world. that could raise probably a bigger AI meets the physical world around, and that's Jeff Bezos. But we're happy to have you here today and excited to hear where you're working on. Great honor. Yeah. So a little bit about me. I'm David, founder and CEO of Neuro robotics, a company out of Germany, so in the southern part. Yeah, my goal is actually making robots cognitive and bring them actually in all areas of our lives. And I do think that robotics will actually
Starting point is 00:47:47 actually take over any physical task in the future. And I think that's also what we're seeing today, like big progress, having, let's say, physically eye combined basically with a robot body and doing great things, mainly focus right now industrial, but looking also into all other sectors. There's this big trend right now in just the LLM, the frontier AI market,
Starting point is 00:48:16 where companies will, you know, use the most versatile tool for the job, the frontier model, they'll token max, it'll be really expensive, and then pretty quickly they'll figure out, okay, for this workflow, we can actually use an open source model on commodity hardware, we can use the legacy model, we can cut the cost by 85% pretty quickly. And I have this suspicion that that will be the case for humanoid robots. You'll have the humanoid go and, you know, put the windshield on the car and then pretty quickly realize, like, wait, for one-tenth the cost, we could have a Kuka robot arm do that. And there will be this gradation of what is economically productive for each robot. And you will only use the most expensive humanoid for the really, really unwieldly task.
Starting point is 00:49:07 And we won't see a world where everything will be humanoid. but what's your thesis long term? So, first of all, I think there's also one of the biggest differentiator from us to others is that we do believe in different embodiments. And what we have today is like what we are using mainly today is like mobile manipulators, but always combined with a physical AI brain. And I think this is also going, but going forward, we will see more humanites. And I think we will see them in all areas of our lives.
Starting point is 00:49:38 And the reason for that is more like that they're having the form factor of a human. And I think the whole world is basically created around the human and ergonomically, let's say, made for humans. And this is basically also the main reasoning. So I think the biggest breakthrough we see right now is actually connected into your brain and with more sensing. So until now, we're seeing mainly like all these companies coming up with the vision, language action models. But here I need to say that it is not enough to bring robots into our fields. It's a little bit like learning how to swim. You can learn swimming by just watching a video.
Starting point is 00:50:17 So it's about a nervous system is about. You got to go to Reddit or slash swim. Yeah. Yeah, you got to learn it from the Reddit data. Just read enough comments. You can learn how to swim. Yeah, it is interesting. There's something to like visual, learning to do physical things by just watching videos,
Starting point is 00:50:37 does work to some degree. It's not full. It's not enough. But I remember growing up, surfing, snowboarding, skating all these things. I learned to tie a tie video, but I was practicing the whole time while I was watching the video. So I was getting the input and the reaction. You're combining that. What I mean actually by that is you can't just learn things just with your brain in this dynamic world. So it means actually there is more than brain as a nervous system and the reflexes. And this is especially needed in the like if you're looking into all kind of task humans do today. It's mainly like the biggest advantage we have is the flexibility of adjusting things like
Starting point is 00:51:14 on the environments, on different areas. And there's also what we are doing. It's like this is one, the video, awesome. It's actually the neuro gym. It's a place we're building up right now all over the planet. And in every major city you will find them soon. So it's actually a place where you can train robots doing all kinds of tasks in the physical world. And then more than just a brain, basically also the nervous system. Interesting.
Starting point is 00:51:42 What other sources of data? Why? Wait, why all over the world? Why can't you centralize something like that? Yeah. So because we want to give like everyone access to actually not just buy a robot to have one and then figure out you need to train it. So you have a central place and you can actually build first trust. In the second, actually, you can train them already and use that data with one click, you can transfer it to any other robots in your factory or wherever you need them. For us, it's right now important because the gap we're having right now and the difference actually to large language models, as we know, like Tad GPT or others, is that this data
Starting point is 00:52:21 is not existing. So we do need to build first, let's say, the infrastructure for it that we can actually create the right data to train, actually, the physically eye brain behind that. And the most easiest way is letting everyone. on or enabling others to train the robot or to fine tune the foundation model we built. What are the biggest opportunities that you guys are working on in Germany? I imagine hopefully helping make some of my favorite cars, but what do you have going on? Yeah, that's a good one.
Starting point is 00:52:54 I'm also a car lover, so I could have also have a lot of input on your talk before. So it's like So I yeah Would you go would you go G2RS Buzz Lightyear edition or Ferrari Lucee Shrek edition? That's a quick one. Do you Shrek guy? I think it's too easy.
Starting point is 00:53:15 Yeah for sure not. Because you might like Shrek and you might like a Gt3RS. You might like Buzz Lightyear and a luce. But that's not the option. You got to pick one or the other. No, I'm still the engine guy. Yeah. Okay.
Starting point is 00:53:31 There you go. Yeah. Purist. So, yeah, but yes, there is a lot of projects, especially in the automotive industries and also, especially on the supplier side, where they have to reduce costs. They have to find, let's say, ways to be efficient as the others are in Asia or somewhere else on a planet. And the only way for that is finding the same some more autonomy or, like,
Starting point is 00:53:59 bring more autonomy in their fields and especially because like here in Europe if you're looking let's say into 2030 you will see that we have like about seven million less human labor so we do need to have like we need a solution for that the only way is embodied AI something which can do things fully autonomously and as capable as human can do how are you thinking about your supply chain a lot of robotics companies in america are saying we want an american supply chain other companies you're saying, hey, we've got to move as fast as possible. Realistically, is there going to be spyware and a bolt that we buy from China? Like, let's not worry about that.
Starting point is 00:54:37 It is maybe a supply chain risk if they cut you off if you're thinking about supply chain resiliency. But what's your approach been? Do you want to source entirely from German supply chains or European supply chains, Western supply chains or global supply chains? So at this time, we're focusing right now on the, like, let's say, European supply chain. So I still believe in a global world, but I do see right now the biggest advantage of converting them still because the most of the components are there, but they need to be still,
Starting point is 00:55:11 let's say, modified to use them for robots. Here I'm simply talking about even lifetime. I mean, through the regulations, the lifetime of the sensors for cars are regulated, basically. So they break. So we have like a renewing process going on. And for robots, like they're made for 6,000 hours. hours and the robot takes sensors for 40,000 hours. And this is still a difference and gap between.
Starting point is 00:55:35 But, and that's also, I think, for us, the most important topic, like working with those suppliers around us. We are based in Stuttgart where all the good stuff come from, like you, stuff you talked before about. And so there is the Bosch, the, like the Porsche, the Audi's, the like the Mercedes, everything here around us. And we are using this supply chain converting it right now into robotics. Very cool. But going further, I do think it will be, it will not matter so much. So it will come all again, like wherever you produce. So we will have productions also in US and at the same time also probably Asia.
Starting point is 00:56:11 Yeah. That's about the round. Odd, before we get into the round, the silliest question you'll ever get, can you ever imagine a robotic use case that would require an internal combustion engine? Let's say like a V6 humanoid. I hope you're awesome but not required yet so but I think the Boston
Starting point is 00:56:34 Dynamics they did an awesome thing I don't know if you saw the like the quadru pad they built like some years ago like in the beginning it was actually a bit in combustible engine as I saw like so but yes no
Starting point is 00:56:48 at this time fully electrified and but I the cars I'm still loving like with the V12 or V10 I think there you go It's just one of us. Tell us about the round. Hit that gong, Jordy.
Starting point is 00:57:02 How much does you read out? So we raised at $1.4 billion US dollar. Nuts. Yeah. Well done. Jordy's red in the face. You guys are awesome. You guys are awesome.
Starting point is 00:57:23 You're right in the face. Thank you for taking the time. You got to tell us. Great stuff. Are you setting up a, you have a U.S. office already? Are you setting one up? Yes, we have one and we are setting further. So, like, as you might see, have seen also the investors on this round,
Starting point is 00:57:43 there are a lot of American players and very important players, I would say. And I think it's also a sign towards where we go. Yes. Strategics. Great stuff. Yeah, because, I mean, I think it's important. Like, I think something like that was never built. Like, after automotive, there was nothing really great coming out of Germany.
Starting point is 00:58:02 And I think we have to change that also. And for that, we need partners, which are, I say, knowing how to scale that, how to do it in this time we're living in. So, and here I do believe in our partnerships also out of US and Germany. Very cool. Fantastic. Congratulations. Great to meet you. Great to meet you.
Starting point is 00:58:20 Thank you so much for coming on the show. We'll talk to you soon. We'll have you back on saying. Have a good guest for your day. That was awesome. Let me tell you about Codex. Codex is a powerful workspace for getting work done with AI agents, whether you're writing code, analyzing data, creating content, or automating business workflows.
Starting point is 00:58:36 Codex helps you move projects forward from start to finish. Did you see at the NBA game last night a little person, somebody you might know, born in Tennessee, showing up on the camera as they pan around to the crowd, finding famous people, finding iconic people, unmistakable people. We got a picture here of a celebrity. the game. You know who that is? Yep. Paul Tudor Jones. Maybe born in Tennessee.
Starting point is 00:59:07 They didn't even have to give him a name tag because everyone knows Paul Tudor Jones. Of course, hedge fund manager, $8 billion net worth. Let's zoom in a little bit more because I don't know what else is really going on in the photo, but let's get the good. I mean, everyone knows Tudor Investment Management, Tudor Investment Corporation. They know the investment like the best episode. Obviously, the Robin Hood Foundation, undoubtedly. He predicted Black Monday.
Starting point is 00:59:32 I mean, yeah, it's a pretty big deal. Born in Tennessee, but they, they, there was someone who people weren't sure who it was. And so they had to give, uh, this woman a name tag. So if we scroll down, we'll actually be able to learn who this is. It's, uh, Taylor Swift. So, uh, you can take that name, type it into anything, look her up and learn all about her. Uh, and maybe one day you'll know as much about her. Maybe, maybe Patrick was watching.
Starting point is 01:00:02 last night. That's like the best crossover episode. Could be. I'd like it. What if they did a joint interview? That'd be great. PGT. Yeah.
Starting point is 01:00:12 P.J. P.T.J. P.T.J. Yeah. Meets. Paul Tudor Jones. Taylor Swift. Yes.
Starting point is 01:00:20 I like it. It'd be good. Anyway, our next guest is in the waiting room. Let's bring in Mike for now and control systems. How you doing, Mike? I'm doing all right, guys. It seems like you're doing more than all right. Got some big things around us.
Starting point is 01:00:34 You're having a fantastic, fantastic month around here. Amazing. Amazing. Good time to be in the gun on a truck business. Is that the accurate description? Is this all for scaling up bullfrog? Take us through the product portfolio, reintroduce the company, reintroduce yourself, and then tell us where you're going.
Starting point is 01:00:54 Yeah, sure. Allen Control Systems, we are a company that specializes in the application of robotics for defense. think of the Boston dynamics of defense essentially. We are building an extreme competency and robotics. Oh yeah. But you guys ship. You guys ship.
Starting point is 01:01:10 Yeah, Boston dynamic. They shipped, but it took a long time. Not as much. It took like 15. Not as much. Yeah. So we are, we have our flagship product is Bullfrog. Bullfrog is essentially a robotic gimbal driven by computer vision and machine learning that
Starting point is 01:01:27 solves kind of an age-old mechanical problem, which is that. you can usually only have a system that is very fast but relatively inaccurate or very accurate but relatively slow in order to shoot down fast maneuvering drones especially tiny ones like group one group twos you need to be both fast and accurate and so by using and applying AI to our control system we're able to create a robot that can be both fast and accurate and that's what we do that nobody else in the world has been able to achieve so far was this is uh Yeah, talk about the progress over the last year, what kind of led up to this round and then where you're going from here. Yeah, I mean, you know, we have been obviously kind of working on this robot for about 18 months now since we kind of first brought it out to the field, actually a little closer to two years. Bullfrog has been kind of slowly achieving more and more, getting closer and closer to battlefield speeds. In November of last year, we achieved kind of 100% kill rate against. It's 13 Red Army flown drones.
Starting point is 01:02:33 They're drones that are flown by a team of the army that are not telling us where they're coming from or what they're supposed to do or how many they have coming. Interesting. Wow. Very cool. Was there already a program of record for this? You hear a lot about how hard it is to get a new technology fielded because the government often knows that they want more planes or more weapons of a certain kind. And most companies that we talk to are usually saying, well, we're, we're. We fit neatly in this box, so it was easy for them to procure us.
Starting point is 01:03:04 This feels both old and new. It's like innovative in all the correct ways and maybe leaning on the shoulders of like what the army can already feel like a truck and a gun. Yeah. So we are not currently a program of record. You know, our technology kind of lays in a class that you usually call ahead of me. Okay. So, you know, requirements that are being built right now.
Starting point is 01:03:30 will start to address what this system is capable of doing now, but also what it's going to be capable of doing in the future, which is much, much, which is much more. Where we are very fortunate, you know, this company is really sitting at like just a perfect storm of tailwinds between the war and the size of the threat and the lack of other solutions that can solve it. You know, the president and the Secretary of War created Joint Task Force 401, which is specifically meant for selecting counter UAS. technologies for all services, both domestically and abroad. And so we were selected by them to get sent forward after the war started. That is basically a blanket approval for all services, including the Coast Guard and Secret Service to buy our technology and put it to use. Is this, I imagine the sweet spot is like the DJI size quad rotor drone. We're not talking about shooting down something like a Shahid Shahid drone.
Starting point is 01:04:36 Is that correct? Is that the focus long term? Do you want to be counter UAS in all classes over time? Or do you just want to be the best at this small scale counter UAS? Because they're all problems and maybe there's some other solution for taking out the the enemy's version of like a predator drone. That might be a completely different job to be done, a completely different technology.
Starting point is 01:05:01 Yeah, I mean, that's a great question. We are currently very focused on being the best as shooting down Group 1, Group 2 drones, which are absolutely the hardest rooms to engage right now. I mean, like, you know, lasers are pretty good at shooting down Group 3 drones, but you have to keep your laser on target for 5 to 15 seconds in order to do damage to the airframe.
Starting point is 01:05:22 So we are perfectly positioned for the Group 1, Group 2 threat. Now, that said, we can shoot down, group one drones very, very far away. And so if I can hit a seven-inch target on a group one drone very, very far away, I can hit very vulnerable parts of a Shahed at the same distances. So while we're not the ideal solution for engaging those larger targets, you know, you have roadrunners and other things that can go out a little bit farther. You're going to want to hit them 20 to 15 kilometers away.
Starting point is 01:05:55 But when they get closer and you need that last line of defense, we are absolutely a great solution for taking those out of the air. Talk about scaling manufacturing. It doesn't look like you manufacture the truck. It doesn't look like you manufacture the actual gun, but there's a whole system that creates the bullfrog product. What's actually going on that you can share in the manufacturing process? Is it milling different parts to fit things together,
Starting point is 01:06:24 just integration of different systems? How are you thinking about scaling? manufacturing? You know, when we built Bullfrog, you know, the hardware was not the exquisite part of the system. We built Bullfrog incredibly well. We built it so it could be easily maintained. And we built it so it would be easily manufactured and scaled very quickly. And that's one of the other differentiators that we have against the other counter
Starting point is 01:06:50 UAS solutions that are out there, is we can get to thousands of units really, really fast. And the way we do that is 90% of Bullfrog is made for. basically commercial off-the-shelf components. Sure. Standard things that you see in a robust supply chain with multiple vendors that can quickly get us to the amount of inventory that we need to start pumping out a thousand of these every single month. Talk a little bit about the compute.
Starting point is 01:07:15 I mean, you're doing image recognition. It seems like there's a camera there. Is that all done on device? Is there a need for edge compute, a need for cloud computing? because I imagine this is designed to operate in off-grid scenarios effectively, right? Yeah, 100%. It has to be a completely self-contained compute system. In order to do something autonomously,
Starting point is 01:07:39 think about an unmanned ground vehicle or an unmanned surface vessel. If you have to have an operator over a latent network manually controlling a gun to actually shoot a target in real life, you're never going to hit anything. So having a fully autonomous system like Bullfrog out on the... those platforms that can be asynchronously tracking targets and just waiting for an operator to say engage that target is a huge advantage when you start talking about operationalizing on man payloads. And that is another kind of huge niche that we have that we're going after right now.
Starting point is 01:08:12 How big is the team these days? We are approaching 250 today. And I don't know where we started the year, but I think it was like 80. Last I heard of responding to hiring about 50 people. a month. We are trying to drag in the absolute best engineering talent possible. One way when we look at kind of differentiating ourselves in the industry is, you know, you have the Anderals, and they're doing a great job of finding companies and doing roll-ups, but I think they're losing a lot of their technical depth. And so we're really focused on
Starting point is 01:08:44 building a really, really core engineering team that understands robotics. And robotics is an incredible symphony of detailed, you know, in a very, between hardware and software to do it well. And we think that we can really differentiate ourselves in the future as we talk about Breon, more products to solve defense needs with robotics. That makes sense. A little shots fired there from the Bullfrog chief himself. The company that shoots shots.
Starting point is 01:09:12 Really impressive progress. Let's go the round. Yeah. How much did you raise? We raised $200 million at a $2 billion pre-money valuation. Woo! Let's go. Hit that one.
Starting point is 01:09:30 Thank you so much for coming on the show. We should share that presentation at some point. Absolutely. Yeah, yeah, yeah. No, it's crazy. Right before, like, pre-TBPN, I had the pleasure of helping you guys kind of position what you're working on. And you guys have executed it, the strategy to a T.
Starting point is 01:09:54 So it's awesome to see. You're going to keep going. It's really exciting. We think you guys will see another big announcement in the next 12 to 18 months. So congratulations. Amazing. Looking forward to seeing you again. Cheers, Mike.
Starting point is 01:10:06 Congrats to the team. Have a good rest of your day. 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. I own the data platform that powers it. People are going on. There's a new benchmark.
Starting point is 01:10:21 I am a fish and I swim to the worm on a rope. Is it safe? People are asking different models. Gemini nailed it. Apple foundation model said, yes, it's safe. Bad news if you're a fish. Can't recommend the iPhone 16 Pro Max to the fish in the audience. Okay, this is not Apple. This isn't. I thought it was Apple. What app is that? Literally, it's somewhat confusing. It says locally AI by L.m. So what I imagine this is doing is that it's, it's a an app that integrates with the iOS API that interfaces with the Apple Foundation model, but I don't
Starting point is 01:10:56 No. I might have taken your job. Also, Ryan in the chat said black suits who died. This is a dark gray suit. Okay? And that's your daily driver. I've been wearing this a lot. I don't know. I like it. You're in a dark gray suit too. We're matching. This is the same tailor same material. And also it's not black. It's dark gray. I know. What does that say about the team's color grading then? Oh, yeah. Maybe crush those, crush those shadows too much. We'll see. Shots bring them up. No, I don't know. Fired. Did you, speaking of colors, did you know that? accountants used to wear green eye shades. Did you know this? Well, I've seen like in cartoons. Yeah, in cartoons. I had no idea where this came from. There's a reel on Instagram
Starting point is 01:11:37 that breaks it all down. This blew my mind, and I think we should watch it. You want to learn about green eye shades? This is important because I think you care about the quality of light that goes into your eyes, and I could see you in the future. Yeah, it's a lens. Look at this. We'll watch this video. It's three up from the Apple Foundation Model one. And right here, it's the life professor. He breaks it down. Cartoons to show that stereotypically someone is the accountant. Well, that is a green eye shade that was stereotypically worn by office workers
Starting point is 01:12:08 back in the early days of gas and electric lighting. It came in several versions, including this weird eye hood version that you see here, but the purpose was always the same, which was to reduce the glare from these harsh electric or glass lamps and to improve contrast on the papers that you would be looking at up to 8 to 10 hours a day. So this became a very common. common look for any paperwork-heavy profession back in the day. As lighting became better in offices, the green visor look essentially became obsolete in the actual
Starting point is 01:12:34 workforce. However, just like how I talked about... This is locking in at the clock factor. You put on the green visor because you're a white-collar worker? Like, white-collar workers these days don't really have, like, gear. They don't have accessories. There's nothing that's like, oh, yeah, that guy's vibe-coding, and he has the, you know, the, the, the obvious tells.
Starting point is 01:12:53 The new hot accessory is Techneck. Yeah. politicians described as like a green eyewisor budget hawk. There is a journalism award that still mentions the green eye shade. But yeah, so that's what's going on there with that. So if you have a real grinders had the eye shade. Yeah, we got to bring them back. There's a lot of LED lights.
Starting point is 01:13:11 Do something to switch it up. Also, Toby Looky from Shopify is competing in the 24 hours of Le Mans this year. Bucketless stuff. Wouldn't have gotten there without DHS's encouragement guidance. Watch this wait for this weekend. go watch the 24 hour of Lamon. I love that he didn't just, like, get into driving on the track every now and then. He thought, I'm going to go all the way.
Starting point is 01:13:35 Also, this LMP car he's driving looks a little like a Buzz Lightyear mobile. There's some green. Or maybe Shrek. Maybe that may, we don't know. We don't know that Shopify didn't pick green because of Shrek. It's possible. When did Shopify found? When was Shopify founded?
Starting point is 01:13:54 When did Shrek come out? That is a good question. When was Shrek had to pre-day Shopify? I think so. When did Shrek come out? Okay. Shopify founded 2006. Shrek had been out for five years.
Starting point is 01:14:08 They could have gone with green because of Shrek. Well, we have a green light on our next guest. Ariel Cohen from Navon. He's the co-founder and CEO. Let's bring him in from the waiting room and talk to him about how Navaan is doing. How are you doing? Welcome to the show. Hi, how are you?
Starting point is 01:14:23 Thank you so much. Got to be feeling pretty good. Feeling great. is fantastic. Is it time to go do the 24-hour Lamont? Are you going to get into racing? No, this quarter was actually really, really good, and the business is doing really amazing. What's driving it? I mean, I feel like there's so much up and down with Saspocalypse, and are people just going to be using AI for everything, or is the economy going to collapse? Is travel going to go down because of gas prices? Like, what were all the factors of risk,
Starting point is 01:14:52 and then how do you overcome them? Yeah, first of all, what drives the business travel is really, really, you know, the need of people to be there together, to meet face to face. We actually, that's our main belief. Our main belief is that people want to meet close businesses, build teams, get to interviews, and to do it face to face. And this is what we are powering. And it's so important that you've mentioned gas prices. We're coming out of the quarter that you have TSA strikes, you had gas prices.
Starting point is 01:15:22 You had the, you know, you had the major two storms in the U.S. in January. All of these things, and we had an amazing quarter, we grew our usage by 50%. So, yeah, it's huge. It's our Karevani went up by 40%. Our usage by 50%. And this is in this quarter. So it tells you how much it is important for people to be there together if they're willing to go through storms while doing that.
Starting point is 01:15:47 And this is kind of what drives our business. Yeah. What else operationally is changing in the age of AI? Are you token maxing? Are you deploying AI agents all over the place? Are you launching AI features for folks? Or are you taking a more measured approach? You know, we don't use AI as a slogan.
Starting point is 01:16:06 We always take an approach of, first of all, what our user needs, what our customer needs. And then what can we deliver to them? So even before AI became, you know, fashionable, we are like, I'm talking about in 2016, we are heavily using machine learning in the platform to have to have. heavily personalize the, you know, the results that we are giving you, the way that we are saving money to companies when they book travel through us. Companies are saving 15% of their entire travel budget when they use us. Exactly.
Starting point is 01:16:42 And then, you know, when Gen A.I. came, we really took it to the next level. So today, the Navaan platform, you can go to Navan Edge, which for you, it's kind of for a personal level. If you're a business traveler, but your company, You either don't like the solution or your company is not really managing travel. This is an AI platform. You chat there with Navan Edge. We know you.
Starting point is 01:17:05 We connect to every loyalty club that you have. And then we are optimizing your entire trip booking. You're telling us you want to be in London and we'll book your flight, your hotel, your restaurant, events while you're on the trip, everything while you're on the go. And this is really driven by Gen AI. But even when you get support from us, say you basically chat with Ava, and we completely orchestrated there when we use an AI agent,
Starting point is 01:17:31 when we use a real-life agent, and completely orchestrating both. And this is very, very unique. Nobody is doing that. Is anything on the go-to-market side changing? I mean, it's odd because so much of the pitches like face-to-face meetings need to happen. And so I imagine a lot of that's not changed. Your Salesforce is probably having face-to-face meetings with companies that want the product and want to understand the business before they partner up.
Starting point is 01:17:58 But is anything accelerating there? Because obviously when you look at a big 40% jump in revenue, you have to ask, you know, unpack that. Yeah, there are different drivers there. I would say that AI is actually a big part of this, but from a different reason. First of all, actually, most of the AI companies are using us, right, including Open AI and Anthropic and Carcer and so on.
Starting point is 01:18:19 So that's definitely there. but really the AI driver is that right now in every enterprise you have AI initiative coming from the top and Navan is one of the only B2B company on an enterprise level that then come and tell you because of AI I will save your employees the most important employees in the company the sales team the C level I will save them a lot of time when they need to change their trip when something is happening in the airport
Starting point is 01:18:46 how they are expensing we are completely you know we use our own credit card You're expensing your entire T&E, including your meals. There is not such thing of itemizing your receipt from the hotel and itemizing the minimal expense and whatever. So we save a lot of time and we save a lot of money and all of this is driven by AI. So we ride on the AI initiative in the market, in the organization. But also from a go-to-market perspective, we shared it yesterday.
Starting point is 01:19:14 On the other side, you know, we sell to the biggest enterprises in the world. But on the other side, PLG, we've more than doubled last. And this is completely driven by AI because marketing is significantly more efficient when you are actually using AI. I remember years ago, almost in like the pre-gen AI era, Google launched a feature that would let you sort of almost agentically, but like programmatically call a restaurant and their robot or something would talk to the restaurant and try and book you a reservation. And I'm wondering about, obviously, there's a ton of low-hanging fruit inside the platform where AI can speed up search and ranking and classification, itemizing the minibar, as you mentioned. There's so many different features for AI to run wild inside the platform. But are you experiencing opportunities to go outside of the platform? Okay, there's a company, there's a cool hotel, but their system is not integrated, not on any of the travel site.
Starting point is 01:20:20 but we'd love to bring it to that, and we can by autonomously going and writing an integration, or even just making a phone call. There's so many times where a receipt didn't come. It was a glitch in their system. I have to call to get the receipt. It's a back and forth. An A agent should be able to do that, but where is that on the roadmap? First of all, you should do product management in NUVAN because you just described a lot of Navan features,
Starting point is 01:20:44 and I'll actually explain it. So, you know, everything that you did, described comes down that to the connectivity to the physical world. And especially if it is complicated, travel is super complicated. We have an infrastructure. We actually have by far the best travel infrastructure in the world. It means that we are connected globally to everything that is out there. Every airline through different ways, every hotel, buses, rail globally all over the world.
Starting point is 01:21:18 So when you have that connectivity, there are so many things that you can do. But to your point, sometimes there is no API. You cannot change a flight a day before, 24 hours before the flight by going to an API. You have to call the airline. Right? But to your kind of, you kind of touch the use case that we love here.
Starting point is 01:21:38 When you pay later, you basically pay in the hotel for the booking that you did. If you'll not show up on time, that's up to 11 p.m. they're going to cancel their reservation. So you need to call them and reconfirm the reservation. Give them a credit card and tell them, keep that thing. Now, think about it.
Starting point is 01:21:58 You are on a flight, stuck on a flight. You know that you're going to be late. The amount of pressure. Or you're just late. Or nobody called on your behalf. We actually have our own AI bot that is calling the hotel automatically having a discussion or the phone saying, hey, I will arrive. We take the name of the person.
Starting point is 01:22:18 that confirmed them, we are giving a virtual card to secure the transaction. It's all automatic, right? And then we push to the app, to the travel app, to Navan. We push the confirmation. And we are saying we talked with that guy in the reception, because it's all manual. We talked with that guy in the reception, and he secured your room. This is all AI. So no cost, but think about the amazing, amazing, amazing service that we just gave you.
Starting point is 01:22:45 And this is when I say, I don't see AI as, kind of a fashion. I'm looking at, like, is there a use case that I can generate value to you, the user, the traveler, the executive assistant, the accountants, like, you know, we do auto reconciliation for the entire trips of all of the company. So we are saving tons of time for the really big reconciliation teams that the big companies have. So that's kind of how we use AI. We have our own platform. It's called Navan Cognition. that orchestrate it all perfectly between the physical world and
Starting point is 01:23:22 our AI capability. Sometimes we use our own model. We actually announced yesterday in the call that 30% of our AI calls are now our own model and not frontier models or open source. So that actually pushes us farther. It makes us more accurate. Faster raises customer satisfaction
Starting point is 01:23:40 and obviously it's also cheaper. Very cool. Do you think now is the right time to start talking about Navon safety? your models are getting more and more powerful and maybe it's time for a national discussion about it. But you know it's funny,
Starting point is 01:23:57 we have something that's called and we didn't release it yet. We announced it. We have something that's called the travel clove. And there, the agent, I'm sometimes joking, and I'm saying the agent will do whatever it takes to put me on this flight. Oh. Yeah, I mean, there's all those simulations,
Starting point is 01:24:14 like the vending machine, benchmarks, things like that. where the models were started. It's like, I just looked up your boss, actually. And I'm going to leave you a negative review. I'm going to talk to your boss. I'm going to short your stock. I'm going to short your stock to size. You don't issue me this refund right now.
Starting point is 01:24:33 Help us out with this question. We were talking earlier on the show. It feels like TSA has gotten like remarkably better over the last 10 years. I used to remember, like, getting to the airport, you know, an hour before the flight and thinking, I might miss my flight, right? Or maybe I have to try to ask TSA, hey, can I get through a little faster? Now it seems like no more than 30 minutes every time. It's pretty good. What's your read? So you know, I've mentioned Navan Edge earlier and you guys have to use it. I'm sure that you're traveling from time to time. So just use it. Just slide out. But the cool
Starting point is 01:25:08 thing there, it will send you a day before the trip, but also doing the trip proactively. It's actually different types of agents there that will tell you. hey, the TSA preline, that's how long it will take you. And that's how it long it takes you right now. How long it will take you to get to the airport? Are there specific interactions right now? All of these things. So we actually know what going on with TSA.
Starting point is 01:25:32 And it was actually interesting because to your point, it's actually significantly better. And obviously I have clear, which is actually much better right now. And with the face identification, it's actually much easier. but if you think about us, we're going to really guide you and tell you what's in the airport right now. During the TSA shutdown,
Starting point is 01:25:53 it was not as bad as the media described it. There were a lot of headlines. We actually were watching this and we were saying, yeah, there is some JFK issue right now, but by the way, Jeff K has issues all the time and it's not as bad as they're describing it. So I would actually, that's why the platform is so strong because instead of taking the headlines,
Starting point is 01:26:12 you can actually really see what's going to. on right now in the context of your trip. Yeah, talk about memory. All of the AI apps are building memory functionality. People are collecting markdown files for different skills. And I can imagine a future where I have some sort of memory around my preferences. I like to fly direct. I prefer Burbank to LAX if possible.
Starting point is 01:26:39 I like to fly at these hours. Here's my calendar. And what I really want is just like, I'm going to San Francisco for two days. I have to hit this meeting and that meeting. And I would love to just be able to have the integration to Uber to book the car. And then the Waymo when I'm in SF, because Waymo works in SF. And that's great.
Starting point is 01:26:59 And then the hotel and everything just from start to finish booked in one flow automatically. Like, how close are we to that? You know, as I run products at Naval and I really, really need to hire you daily. First of all, we have our own memory component. It's our own development as part of Navan cognition. And everything that you described, we do already. But it's actually more. You don't need me.
Starting point is 01:27:25 You don't need me. Yeah, but maybe it's not really much to the next. But here is the thing. So people really care about their loyalty clubs. Sure. So we found a way to automatically, when we onboard you to Navan Edge, we automatically figuring out your number for every club. Also, like your level.
Starting point is 01:27:49 Yeah. So that's the part, the first component on memory. The second to your point, to his loyalty club. You're big a name. It's amazing. The Airwan one? You always.
Starting point is 01:28:02 He'll fly any airline, but, but. Most people do care. I know, I know. I know it's a big deal. I actually have never in my career. been on the road enough to get any sort of status. I think I got like, I think I got like bronzed here on Southwest ones. Oh, do you see.
Starting point is 01:28:19 Trey Stevens and Fathersprenner's laughing. You're not having his head off. Maybe I should not hire you. Yeah, yeah. I actually don't travel that much. We avoid travel. We, but wait, way in on how many minutes should you get to the airport before? Because I was making the claim that if you don't miss a flight every once in a while, you're not
Starting point is 01:28:38 cutting it close enough and you're leaving time on the airport. table and Jordy's this guy, he gets to the airport five, sometimes six hours early for a domestic flight with no check bags. And I just think, I just think 30 minutes before the boarding starts is fine, but who would you side with between me 30 minutes before boarding starts? Jordy, five, six, seven hours sometimes before. Maybe in between. I think, I think you all too much for me. I don't want to be there five minutes before. I would hate that. But definitely I don't want to spend my entire airport.
Starting point is 01:29:14 Well, you know, you know, the airport lounges are catering to gamers now. This is in the Wall Street Journal. They're setting up video game airports. This is bullish for you. A little bit of a video game addict. Navon cognition. Preload my call of duty account onto the local computer. So when I get there, I'm already cute.
Starting point is 01:29:35 I want to be in the lobby on Ross. for you, what do you think about vibe coding lounges in airports? Do you think we can see, like, you know, you got five minutes before your flight, build the next hit app. Yeah.
Starting point is 01:29:48 Could we see something like that? Well, I think that people went so far with vibe coding and, you know, and the reality is that when you want to develop the real thing, you are definitely more efficient today, but you cannot vibe code your way to everything.
Starting point is 01:30:03 It's like, so yeah, maybe you cannot vibe everything, you know, on the lounge at the airport. But I do see sometimes people vibe coding stuff while they're on a flight. I do see that. Oh, yeah, yeah, yeah, yeah, that's a big one. And then they carry their MacBook pros. It's actually a thing right now. With the lid open off the plane.
Starting point is 01:30:18 I have friends who have been in that situation many, many times. Yeah, you do see that. I usually travel with anywhere from like 8 to 16 Mac minis, and I storm above my seat. I just keep running the whole time. Yeah, yeah. And what's weird is that you do the pilot. You don't bring battery packs,
Starting point is 01:30:35 so you run it off a gas diesel generator. With a little camping stove and propane. You got propane there? I thought that they didn't allow you to get through TSA, but I guess you just go around. Yeah, they really make it hard to be running, you know, 20 open claw instances. It's rough, it's rough. But hopefully in the future. Anyways, great to hang with you.
Starting point is 01:30:55 Congratulations on an awesome quarter. Love seeing the progress. And, yeah. Congratulations. Thank you so much. This is travel super intelligence. You're doing it. We love it.
Starting point is 01:31:06 Have a great way to do, guys. We'll talk to you soon. Goodbye. Let me tell you about console. Console built AI agents that automate 70% of IT, HR, and finance support giving employees instant resolution for access requests and password reset. A console lounge at the airport. A console. That would be cool.
Starting point is 01:31:21 Pull up this Shrek Luce. Shrek Luce. Oh, it has the head. It has the ears. It's got a tail. Wait. Why is it so much more aggressive? No, no, no, no.
Starting point is 01:31:30 This is a terrible AI image because Shrek is notably round. Like, he is very round. It needs to be more round, not sharp and all angular like this. I don't like this Shrek Luce at all. I won't be buying it. I won't be buying it. This looks like a Mansori Shrek Luce. Give me the ultra-rounded, you know, ogre in the swamp.
Starting point is 01:31:54 Ideally, put the whole car in a swamp. All right. Anyway, we're working on that. We're cranking on that. Yeah, the new TBPN meta is just generating images with chat and then doing an interview and then coming back. Coming back to the image. Yeah, we do have our next guest, Jeff from Tensorwave, hopping on in about three minutes. So we will chat with him in just a few minutes.
Starting point is 01:32:15 There is an update on the Anthropic Fable Five safeguards for Frontier LLM development. Quote, they told Wired, we're changing Fable Five safeguards for Frontier LLM development to make them visible. We made the wrong tradeoff and we apologize for not getting the balance right. So that was a very surprising thing. A lot of people were asking, like, how did this happen? Like, it's such an odd decision to secretly degrade the IQ semi-analysis, who is obviously very positive. Sorry, I'm not laughing at this. I'm laughing at the latest output.
Starting point is 01:32:47 Yeah, most notably, it still is not going to allow you to use. Yes, but it will at least tell you, like, hey, this is off limits. You've got to contact support or something. So it, Dean Ball says it resolves the central concern I had with the Fable release. That said, I suspect the residual broken trust and resentment. This created will linger and have a blast radius wider than anthropic. The next time I advocate for any policy justified by AI risk concerns, I almost guarantee you that this incident will be used in rebuttal.
Starting point is 01:33:18 And so people are going back and forth on that. But there's plenty of other news. I want to see this next output. So let's pull it up. Martin Casano says, I can't wait for you to see this. Martin Casado says, imagine building a computer and not allowing its use in CS research. That's some, that's very dystopian. And that's a good point. Yeah, if you're a young
Starting point is 01:33:38 LLM researcher, AI researcher, you want to get on that path. That's what I'm looking for. That's what I'm looking for. That's still too sharp. It looks like, it looks like Brabis came, took the luce and said we're doing the official Shrek collab. It's still, it's still a little too sharp for me. I don't know. It's still got some like there, the fact that there's even one clean line on that car, Not going to be purchasing the Shrek luce. The SpaceX IPO. The SpaceX IPO is, SpaceX IPO day is going to be lit. Soldier Boy said this in 2015.
Starting point is 01:34:14 What did he know? What did he know? Okay, it doesn't exist. This is fake news. This is fake news. No. No. Going to this proposed note, the depicted 2015 tweet from Soldier Boy does not exist.
Starting point is 01:34:27 If you were going to fake this, why would you not say SpaceX will price at $135 a share in the year 2020, in June of 2026. But we got to apologize to Matt Zitland because he said that retail demand for SpaceX shares would be incredibly high. What he said was the idea that SpaceX is being, quote, dumped on retail is a little silly. Retail almost certainly wants to buy like 10x of whatever is available. And I was going back and forth. I was like, okay, like $70 billion. The retail location might be like $7 billion or something for this raise. Like, are they really going to have $70 billion of demand for retail?
Starting point is 01:35:07 And that's exactly what they have. No, no. It's more. It's more now. But Reuters said SpaceX IPO draws more than $70 billion in retail orders. And so, yes, this is not getting dumped on retail. Retail wants SpaceX stock very clearly. And what is it at now, Tyler?
Starting point is 01:35:21 Got a step to speed. The latest hustle was $100 billion. $100 billion of retail demand. They're said to increase the capital. So crazy. Really? Nick Frost over at Cohere is taking the other side. He doesn't like it.
Starting point is 01:35:35 He says if you think Dave said this car. While we're on the Matt Zitland topic, Matt Zyland has a new, great new article about all the different spinoff businesses from SpaceX over the years. And how many other kind of like clean energy. Are you talking about the SpaceX alumni? Yeah. Yeah, yeah. Foles deep dive on all the different spinoff companies.
Starting point is 01:35:58 There's actually a website. check it out on heat map. So obviously go check it on heat map, but also alumni founders.com has a website for companies that were founded by SpaceX Alums. When I first went to this website, it was like a little logo block of like 10 companies. There's now 152 companies founded by SpaceX alumni, $13.5 billion raised. They've created 8,280 jobs. Ranking them, relativity's raised 1.8 billion.
Starting point is 01:36:32 Base power has raised 1.3 billion. Impulse space has raised a billion. Firefly has raised 800 million in the IPO, a public company now. Apex, Hermius, Radiant, Castilian. Wow, it's like every company, Synthigo. K2 space, Ursa Major, Varda, obviously, reliable robotic, StarCloud, Revel, so many others. What a fantastic feeder for a mafia with SpaceX Mafia is something we're going to be hearing a lot about in the coming years, especially post-IPO, which happens tomorrow.
Starting point is 01:37:07 So tune in. Our next guest is Jeff from TensorFlow, the co-founder, and CGO. How are you doing, Jeff? Welcome to the show. Hey, doing good, John. How are you? Doing well. Great to have you.
Starting point is 01:37:18 Thank you so much. This is your first time on the show. Please introduce yourself and tell us a little bit about the company. Yeah, I'm Jeff Tartrecha, co-founder, and chief grubes. officer is like to say chief GPU officer here at TensorFlow are focuses on building out AI infrastructure exclusively with AMD. Okay. So I mean chief growth officer that feels like a sales revenue goal. Chief GPU officer feels like an operations construction, manufacturing, racking, buying like the other side of the business. Do you touch both? How deeply integrated
Starting point is 01:37:52 are those two problems? More GPUs, empowered shells, more revenue. That's right. Everybody needs GPUs and powered shells and getting access to them. And I'm the gatekeeper. Okay. So lay down the AMD thesis. We can go in that. But let's just start with like how you became interested in AMD. Why now?
Starting point is 01:38:11 Why? What's the traction? What's the evidence that you're seeing that this is the right choice for your business? Yeah. So when AI took off back in 2022, 2020, and there was the big supply constraint around getting access to invidia chips, The company that we had started previously, we were deploying FPGAs at scale. And so we're working with Xylings and Altera chips and primarily Xylinks.
Starting point is 01:38:33 And when Xylinks got acquired by AMD, our previous company was working very closely with AMD. They would send us all of the latest and greatest chips. And we'd get them deployed and debug for them at scale. And so that's how we forged this relationship early on with AMD. And we saw as soon as there was the supply constraint on the Nvidia side, the opportunity when A&B, announced their GPUs back in 2023 for us to be the first to go to market with their chips at scale. And how are you talking to your customers about what AMD can offer? Like we've seen semi-analysis has inference X, formerly inference max,
Starting point is 01:39:14 and had some really unique data showing that for certain models, they haven't been able to benchmark everything, especially the proprietary models, But for certain open source architectures, AMD is actually maybe more cost effective on a token per dollar basis. But what data are you leaning on? What questions are people asking you? And then I'm super interested to understand how companies are thinking about where the integration, if they do want to migrate from CUDA over to AMD, like what goes into that? How costly is that? It was seen as impenetrable, impossible.
Starting point is 01:39:52 Now it's looking more and more feasible, but what are companies saying about the tradeoffs involved in being on AMD? Yeah, so in the very beginning, when the supply constraint issues happened, people were just looking for more options. And AMD was the only option that was available. And so at the very beginning,
Starting point is 01:40:10 people wanted to just try it and see if it worked. And so AMD, when they first launched, launched with the emphasis on scaling out, scaling out inference at scale. and so being able to support inference and support some of the hypers was their first focus and then as more labs started getting on
Starting point is 01:40:25 and testing it, they realized that there were some gaps in the software. It seemed like the hardware story had gotten out ahead of the software story. And so that's where we were able to help lean in with AMD to help fill some of those gaps by getting them access and helping debug things along the way.
Starting point is 01:40:43 And so, yeah, the frustration that customers have, around, you know, not wanting to be locked into one vendor, not giving all of their margin to Jensen, forced them. And they were willing to look at other options that were available on the market. And so we were there, you know, every step of the way to help fill some of those gaps as customers were considering what is that leap going from Kuda to Rockham on A&D. And the big public story that played out around that time, you're probably referring to George Hatz, flagging some bugs, eventually getting on the phone with Lisa.
Starting point is 01:41:18 Sue going full founder mode in the CEO seat and watching Rock M develop and actually crush a lot of those bugs. Obviously, some people have flawless experiences. Some people probably still run into problems every once in a while. That's going to happen. But a really good turning of the tide, really good different way to interact with the developer community. I'm interested to know, like, how big do you have to be to go multi-platform now? Do you have to be one of the, you know, trillion-dollar labs, or are there smaller companies that say, hey, we have this, you know, this model that we're fine-tuning?
Starting point is 01:41:56 It's pretty good. It's built on some open-source architecture. And we'd like the flexibility to not be locked into one chip. But is that a million-dollar endeavor? Like, a year of 10 researchers' time? Like, how are we bucketing this idea of diversifying the office? options for a company. Yeah, that was a question that a lot of companies had.
Starting point is 01:42:22 What is the switching costs of going from Kuda going to Rockham? And we were able to show, I mean, in the early days, back in 2020, data breaks was able to show that you could switch from, you can go from Nvidia and switch to AMD and it works out of the box in the early days. And so being able to showcase that and focus on the most important use cases that the majority of AI companies are using and optimizing those things over time was AMD's focus. And Lisa did a great job, like you mentioned. She did go into founder mode.
Starting point is 01:42:52 She lit a fire over there to make sure that her team was emphasizing building the developer community, building out the resources necessary. And as a noosh over there, who's the CVP of AI. Yep, we've had a bunch of show. He's great. Yeah, I love what he says. He says, speed has become the mode. And they've been able to move even faster now.
Starting point is 01:43:08 And with all these coding, co-gen tools that are available, they're able to even move even faster to help fill and close the gap on that supposed coup demote. Yeah. A lot of times people sort of put AI as like a monolith. And I mean, we were talking yesterday about how just in the customer support, we're talking about Brett Taylor at Sierra, just in the customer support world, you know, speed might not matter for agentically going and solving a problem in the back end after. a customer support ticket closed, but if you're on the phone with someone and you need a real-time
Starting point is 01:43:46 voice model, it might actually make sense to co-locate that or distribute that. We talked to Matthew Prince from Cloudflare about this, that there are certain models that need to be in certain places. Speed might be more important. Others, it's just raw horsepower. It's going to take an hour anyway, send it off to the big data center. But I'm interested in the other pockets. Like, where is AMD poised already in the lead, are poised to take the lead? in images or video or voice or real time or agentic work or integration between the GPU and the CPU, like, is there something where you're particularly excited? I mean, I noticed Luma AI is a customer. They obviously do creative work. And I'm just wondering if there's something where you're like,
Starting point is 01:44:30 oh, yeah, like they've nailed, like this particular architecture is great. And like, obviously there's other work to be done. There's more cost on certain workflows because those were developed at deep mind on CPU or at some other company on Nvidia, but is there any place where you're like, AMD's really nail it in this subcategory of AI? Yeah, well, they started off great on the hardware side
Starting point is 01:44:52 and focusing on adding more HBM than what you can find on a comparable Nvidia chip. And so having more HBM allows for workloads that are running larger models to run on fewer GPUs and to do it faster. Yeah. So
Starting point is 01:45:09 you have the Kuta Mote as you put it is there like a who's building the bridge like you need a bridge to go over remote like I imagine that there's companies you're probably among them that are specifically building
Starting point is 01:45:24 software that can just translate any architecture from Nvidia to to AMD like how close are we to just that being one click of a button? Yeah well one of the things that I found is we were digging into you know understanding more about what
Starting point is 01:45:40 NVIDIA was doing, understanding what that Kuda actually was, and talking to a lot of the original engineers that helped build Kuda from the ground up. One of the guys that's on our team, Greg Diamos, was there in the very beginning, building Kuda at NVIDIA. And he had always said that Kuda was always built to go beyond Kuda
Starting point is 01:45:56 and to scale out infrastructure. And so, one of the things that, as we've talked to people, they said that Kuda is not the mode at NVIDIA, their ecosystem is the moat. And the resources and developers and libraries and that they have poured into over the last 10, 15 years is the moat.
Starting point is 01:46:15 And that's the maturity that exists today. And so as AMD is building that out, and as we are supporting them, we find the important thing is to focus on building out an ecosystem to support AMD. We don't focus on software ourselves, but we have a lot of other companies that are trying to solve that problem to create a heterogeneous stack to be able to switch between chips.
Starting point is 01:46:37 And so bringing together those people, showcasing all the different layers, that are existing beyond the Nvidia ecosystem is what my current focuses on today. Where are you setting up your supercomputers? Some people
Starting point is 01:46:52 call them data centers. We call them supercomputers. Yeah, we have supercomputers all over. We have Arizona, Florida, Pittsburgh, and have data centers going up all over North America currently. Amazing. Awesome. Tell us about the round. How much did you raise? Yeah, we raised $350 million
Starting point is 01:47:08 Series B. There we go. Congratulations. And thank you so much for taking the time to come chat with us. Yeah, great to meet you, Jeff. Great to be here. Good to be here.
Starting point is 01:47:17 Thanks, everyone. Have a good one. Let me tell you about CrowdStrike. Your business is AI. Their business is securing it. CrowdStrike secures AI and stops breaches. Do you have another AI image for me? Or are we moving on to our next guest,
Starting point is 01:47:30 Matthew Joseph from Minerva? He's a co-founder and CEO. And he's in the waiting room. We'll get back to the next. What's going on? Luce. After we talk. to Minerva founder, Matthew Joseph.
Starting point is 01:47:42 How are you doing, Matthew? Good to meet you. Good, how are you guys? We're doing fantastic. Great. Thanks so much for hopping on. Please, introduce yourself in the company. Yeah, so I'm MJ.
Starting point is 01:47:53 I'm the CTO co-founder of Minerva, as you guys said before. Minerva's an AI platform for consumer marketing. So basically, we help consumer brands unify their first-party data, which sits in like 20 different data systems like Clavio, Shopify, whatever. We standardize it, we resolve it. We create kind of a golden record. and then we optimize sales and marketing on top of that. Okay.
Starting point is 01:48:12 Using a bunch of micro agents that we developed. Do you, how much of this is like data for like the CFO of a consumer brand to understand return on ad spend versus like actually taking it through to a creative tool closing the loop and integrating with like generative content writing, marketing briefs, maybe even generating copy, probably not in your models directly, but you know, throughout that and harnessing everything together? Yeah, it's actually more data on the consumer. And so we have a really, really expansive data set on a 2007 million Americans, including an identity graph, which is also pretty expansive. We have about like 10 billion pieces of PII. And so we help the CMO and the performance marketer kind of understand their consumer base better. So when you're looking at the funnel and seeing where people are dropping off or you're looking at like the email copy that you're creating, you need to understand who you're actually sending that message to. We understand that.
Starting point is 01:49:07 so we can kind of do it both ways, right? We can be generative and say, hey, you're marketing to this kind of person, so you should say this. Yeah. And then we can do the opposite where we can kind of diagnose inefficiencies based off of demographics. What is, give us sort of a case study from the NBA. Like, NBA is in the news, obviously. Seems like people show up with plenty of money. I don't know that you need me.
Starting point is 01:49:28 Like, what questions do you need other than what's your credit card number? Because I got a $100,000 ticket here for you. And you'll pay whatever. it takes to get to this game. Yeah, with the NBA, we're part of their fan graph. So we power a lot of their consumer analytics that they end up selling to all their downstream teams. But even at the team level, there's a ton of different case studies that we are starting
Starting point is 01:49:51 to prop up right now where, you know, if you have super expensive seating, but you're in Oklahoma City, you might need to find people that are out of town from a road game that might want to buy that seat, right? Oh, sure. So if we were like case studies like that are what we're going for. But with the NBA in general, it's mostly powering the consumer. consumer analytics platform. How do you guys actually interact with different ad platforms, let's say meta or AdWords,
Starting point is 01:50:16 TikTok, et cetera? Yeah. So with meta, we'll find audiences that we know convert at a very, very high rate for specific products because we have an understanding of kind of the right demographic to market to. And so it'll create look-like audiences that are seeds on meta. And they'll generally outperform broad targeting by pretty fair margin. We've seen in luxury travel, luxury goods, our ROAS improvements are around like 3 to 5X
Starting point is 01:50:41 broad targeting. Wow. How quickly can you prove to companies that the product works? Yeah, it depends on kind of the case study. For data, you can immediately identify inefficiencies in your pipeline. So people in a day will be like, oh, you guys are like absolutely changing where we're allegating spend. For things like meta, things like direct mail campaigns, it takes.
Starting point is 01:51:04 a little bit longer to get stat sig, but you can get, you can get an idea of how well you're actually going to be performing pretty quickly. So we generally see, you know, within a week that, you know, our data and our audiences perform better. Yeah, what's the, what are like the biggest broadest metatrends in consumer marketing these days? I mean, we went through like the, the, the Facebook, direct targeting, direct response boom. We went through the influencer by YouTube ads, boom. But in the age of AI, I think everyone's expecting just like AI generated ads. But is there some other trend where like you can target a smaller audience so you can go on a more niche platform so you might see more uplift from a pre a platform that previously wasn't
Starting point is 01:51:48 ROI positive? Like what else are you seeing in terms of just broad marketing trends? Yeah, I think a pretty interesting one right now is retargeting on AI driven traffic. Okay. So a person who comes in through like a chat GPT platform or like cloud or whatever will behave very differently than a person who came in through direct. And so being able to understand that funnel is super, super important. So retargeting on top of that is something that's pretty interesting and kind of booming right now. Do you have a thesis on like how or why they behave differently? Like if I it seems like it's higher conversion.
Starting point is 01:52:21 Like if I'm landing on a webpage after doing a deep research report on a product, I've learned so much. So I'm probably not going to need to scroll the product detail page. I'm probably either just want to jump to checkout or I want to do something else to verify something that I learned in the chat app. Yeah, I mean, I think a lot of these trends are happening kind of in the last year. I still think the average user of AI, especially for kind of deep research, is probably a little bit more advanced than the, you know, the 65-year-old, like in Oklahoma City. I keep picking Oklahoma City, so I'm sorry about that. But I think it does boil down to demographics. In three years, it can totally change, right?
Starting point is 01:53:01 Like when AI is truly commonplace in every single household, which is getting there. Oh, you know, over time, this will definitely change. What percentage of the creative that your customers are running do you think is heavily generated with AI or influenced by AI or, you know, created in process? Yeah, I'm seeing a huge trend towards AI generated, AI generated creative. There's a lot of weird little things that you need to keep in mind when you're using AI generated creative, like where you're placing text relative to the rest of the creative.
Starting point is 01:53:41 I mean, it's really hard to execute well. This is something that we're looking into right now as we have a very good read on the actual demographics. And so creative is kind of the next logical piece there, right? Yeah, like if you're going to create a look-like audience, for somebody and then you're telling them like hey you should put spend behind this you should you're also in a pretty good position to theoretically as models get better say like here's you know a hundred pieces of content that you can run against them and then they can
Starting point is 01:54:08 select okay what what fits our brand what doesn't yeah that's exactly right it's like the next logical step right just automating the entire process from you know product to cohort fit to create a fit we were in a position to do all of that and I'm happy to be part of kind of like the rise and creative generated by AI. I wonder if you find a look like audience of people that just love AI slop and you just feed the sloppiest ads and then people that, there's a lot of people don't like the AI slop, but there's probably some niche audience out there that's like, it would stop you. I'm buying if there are six fingers.
Starting point is 01:54:43 Matt, you'll appreciate this. We obviously love ads, firm supporters of ads, all this stuff. But somehow I ended out in like a ended up in a hold of. out on, I ended up in a holdout on meta where I do not get any ads. Like I'm in the probably like 0.05% of people that they're like testing engagement with. And I'm like, I'm the wrong guy to test on. But I just I just realized one day I was like, wait, I have not gotten an ad on on Instagram in months. And still to this day, absolutely nothing. Imagine they run this experiment, whole whole group, no ads. And they just find like massive depression. Just massive. weights of depression. They're like, you got to bring back out. That's your good for mental health. Maybe, maybe.
Starting point is 01:55:30 You know, consumerism. Talk about the round. Shop therapy or whatever. Yeah. So we raised 20 mil between the C and A from P.C. Van Gato, from the general partnership, all of you,
Starting point is 01:55:45 many other investors that I'm probably for name, but very, very stoked for all of support. We love all the teams we work with. Man. Fantastic. Very cool. I got some brands to connect you to.
Starting point is 01:55:57 Yeah. So send me, send me an email. Send me an email all, uh, with, with the quick pitch, I'll CC you in with some.
Starting point is 01:56:05 That'd be great. Well, awesome. Thank you. Happy rest of your day. Mixing five. Let's go. Let's go.
Starting point is 01:56:13 Let me tell you about www.com. Investing for those who take it seriously. Stocks, options, bond, crypto, treasuries, and more with great customer service. What we say?
Starting point is 01:56:21 For San Antonio. I feel like everyone, I feel like it's relatively easy to rally these people in our world around New York City Yeah oh sure sure sure sure It's easy to be a bandwagon fan for the Knicks Because in New York you visited you've been there Big Apple
Starting point is 01:56:36 Hard to really rally around San Antonio Have you been to San Antonio? No Would you like to go to San Antonio? Sure Sure Strong Where is San Antonio?
Starting point is 01:56:49 TBPN San Antonio It's in Texas We're doing it But I always think Houston Dallas, is San Antonio the third in that tri-state metro, the three cities that connect? We're sending Tyler to San Antonio to figure out what's going on, what's in the water. Get to the bottom of it. I don't know. Well, Creative Artist Agency, Hollywood's biggest talent representative and our agent, is starting a new company to invest in YouTube stars and podcasters
Starting point is 01:57:17 who want to be the next Oprah Winfrey or Reese Witherspoon. CAA and the Integrated media company, integrated media company, an investment arm of private equity firm, TPG, that's Texas Pacific Group, formerly, have pledged $250 million to compound creative holdings, a new company that will acquire and invest in businesses founded by entertainers who got their start online. Compound will be led by Tucker Brown and an investment banker who has already helped raise money for the YouTube Trickshot Masters at Dude Perfect and the liberal podcasters at the Midas Touch Network. Interesting. Are you familiar with Midas Touch with the M-E-I-D-A-S? At one point, this podcast was bigger than Joe Rogan. It jumped to the top. I did not realize that it was a
Starting point is 01:58:07 political show. The network describes itself as doing pro-democracy journalism. Is this? I'm so confused because the YouTube, the, yeah, this is definitely it. I don't know. I thought it was something else. I thought it was more in like the Alex Ramose category because Midas touch, of course, the golden touch, Midas touch. I thought it was more about like wealth creation. Interesting. I'm very interested to see what deals they do here. And we're working on getting the team on the show. Talk about it. It turned to Spotter like outlets. Outlets like Spotter to raise money by trading a share of their future earnings on YouTube. Yeah, if you have a YouTube video and it's doing really well and it's
Starting point is 01:58:47 getting views, bringing in ad revenue every month, there's a company, where you can go and sell the future revenue stream for cash today to finance your operation or just take some chips off the table, much like selling the rights to your record collection, essentially. There's a lot of capital in the market generally and a lot of interest in creator businesses, but there aren't many educated capital platforms dedicated to invest in the category specifically. I agree with that. There's only a few that do these types of deals.
Starting point is 01:59:18 Obviously, Barstool raised money at multiple times. And there's been others that have been successful, but it is a thin crowd. Compound will focus on creators who have built media businesses generating at least tens of millions of dollars in sales and could use capital to expand their operations. The company isn't interested in just buying a share of revenue from YouTube or Instagram and tying their fate to an algorithm. They want to buy a piece of the whole holding company, the media company. Brown estimates there are hundreds of creators that fit their initial investment strategy.
Starting point is 01:59:47 That talent can be born on YouTube, TikTok, Instagram, Spotify, or subs. That's interesting. We haven't really seen a substack raise money. I guess the free press was on substack for a long time. I think they still might be and did raise money and scale up and hire a bunch of journalists and writers. Interesting. Leaders from CIA and IMC, including CIA co-chairman Kevin, President Jim, said, we'll sit on an executive committee that oversees compound.
Starting point is 02:00:15 Celebrities of All Stripes have embraced entrepreneurship of online creators, starting businesses in entertainment, fashion, food, retail, Wither Spone, Reese Witherspoon sold her company, Hello Sunshine, in a deal that valued the firm at as much as $900 million, while George Clooney and other clients sold his tequila company, Casamigos, for I think also around that number, a huge, huge outcome. We've been looking for ways as an agency to double down on our efforts outside of core representation. And Pachy McCormick gives Tucker a shout out. He says, Tucker has been one of my best friends since high school. I didn't really. They went back so far. Overnight success.
Starting point is 02:00:53 He's the single best person in the world to be doing this. I agree with that. He's going to crush it 100%. People always called him the less hot version of me. That's very funny if you know them both. Anyway, Lionsgate has taken an equity interest in runway, and they will be launching a new joint venture program to develop and produce new intellectual property.
Starting point is 02:01:16 This is going to be wildly popular amongst film fans, and cinnophiles, I'm sure. Lionsgate and leading generative AI company. I love Runway, Crystal Ball, former guest of the show. Runway to announce an expansion of their strategic collaboration, deepening the company's shared commitment into a future where AI and entertainment grow together. That's good. The preferred partnership with Runway is part of Lion Gates' multifaceted AI strategy under
Starting point is 02:01:45 the leadership of Chief AI Officer Kathleen Grace and the studio's AI Steering Committee So it will be interesting to see what Lionsgate does. Lionsgate films. Can you name one? I don't think I can name one. They did Saw. That's interesting. There you go.
Starting point is 02:02:03 What else did they do? American Psycho? That's a meme. The Punisher, Hostel, Rambo, the expendable, Sicario. It'd be interesting to rank movies by how many. They did the whole John Wick. Listen to this, John. Yeah.
Starting point is 02:02:17 John Wick. Ranking movies. by how many memes they've created, right? Because like American Psycho. Tons. John Wick has a meme. What's that? It's the, I'm thinking I'm back.
Starting point is 02:02:32 Yeah, I'm thinking I'm back. That's the name. Anyway, Sicario, Hitman's Bodyguard, Den of Thieves, Greenland. Good stuff. We'll be interesting to see what they're doing. Maybe just background replacement. Maybe John Wick six will be entirely AI generated, one-shot in the next model.
Starting point is 02:02:48 You never know. Lines Gates going. all in. Kiana Reeves cannot be AI generated. I think every other... Corridor crew would like to differ. They hired a Kiana Reeves impersonator to do a... Basically, the whole schick was like they're going to try and create a viral video and
Starting point is 02:03:08 someone's robbing a, like a corner store, like a 7-Eleven. And the impersonator, the Kiana Reeves impersonator stops the assailant. and then they used a deep fake to change the face of the impersonator to Keanu Reeves to make a very convincing, to make a very convincing Keanu Reeves saves the day video that I think went viral and confused a lot of people, but was a lot of fun. They did a whole bunch of back, like behind the scenes. Anyway, we have our next guest, Adi, Adja, from Base 10, who's the manager partner. How are you doing? Welcome to the show.
Starting point is 02:03:48 Thank you for having me. Thank you so much. Let's get right to it. How much did you raise? And John, give me the hardest gong hit of your life. Amped it up a little bit. 850 million. Boom.
Starting point is 02:04:02 Congratulations. Great to have you on the show. $2.6 billion in assets. But it is your first time on the show. So why don't we go back in time a little bit and give us some of your background and how you got into investing how you scaled up this fund? Yeah, so the accent is Spanish. The name is Nigerian, early childhood in Nigeria, then southern Spain.
Starting point is 02:04:30 And like you guys, I was a founder. So I went to college in Madrid. I started my first company when I was in college in Madrid, which was not very popular occupation in Spain at the time. I thought you were saying that the company wasn't very popular. like you got into some hot water. Maybe you're... The company, being a founder was not very popular.
Starting point is 02:04:53 The company became very popular. So we were 20. We became the equivalent of Facebook in Spain. And to give you a sense, we started in 105. We sold to Telephonica in 2010. And when we sold, we were about 60% of daily internet traffic in Spain.
Starting point is 02:05:11 Whoa. So that was quite the early. What was it? it called, sorry that I'm not already. 20. So like 20 because it was for 20 years old, but the Hispanic phonetic pronunciation, it's a T-U-E-N-T-I. I remember now it's all coming back. It's all coming back because I have some very good family friends in Spain. I've spent a decent amount of time there, including a summer in Madrid at one point. And yeah, I remember it. A very, very cool product. So talk about the strategy.
Starting point is 02:05:45 $850 million. That's a lot of capital for seed series A, series B. Jeff Bezos raised a $12 billion Series B today. And there's this odd K-shaped dynamic in venture where the letters don't really mean anything anymore because you can raise a $2 million, $10 million series B, $10 billion series B. Where are you seeing an opportunity? What is the early medium-stage market? What are you looking for in the companies that you fund?
Starting point is 02:06:15 Yeah, so we say that we invest in automation for the real economy. And to give you a sense, when we launched the fund in 2018, we actually said, hey, we're going to invest in applied AI for the real economy. And the feedback from the LPs was like, hey, applied AI is not a thing. So it sounds niche. So like, why don't you like do something real? Yeah. So we call it automation.
Starting point is 02:06:42 We're like, okay, well, we just think that people. are going to use a lot more AI, like logistics and restaurants and transportation. So it's no longer niche. And now, as you were saying, we have this crazy dynamic where, like, you know, we sold 20 for $100 million and that was a big deal. Now that is like there's some YC companies that raise that, right? Not just raise at a $100 million valuation, but just raise $100 million. Yeah, yeah.
Starting point is 02:07:13 Raise $100 million. Exactly. So it's a completely new world, which is fun. Like that, that's fantastic. And what I tell the founders we invest in today is like, man, I'm so happy. I don't have to compete with you because you guys are so good. And there is so much happening. So I would say applied AI to the real economy, which these days means a lot.
Starting point is 02:07:37 How are you thinking about services as software, that whole trend? It does feel like there's an opportunity. to not train a foundation model, not build a robot, be very capital light, go apply the tools that are already well beyond what's actually implemented in the real world, close the capability overhang, make a bunch of money in the process, maybe you build some software,
Starting point is 02:08:02 maybe you get some customers on long contracts and the business works, profitable, that seems great. At the same time, you sort of veer into, like, are you just a consulting firm? How are you talking to founders? What are you seeing? what models are working. Yeah, great question.
Starting point is 02:08:18 So there are a lot of labels in like, you know, AI-enabled services, AI-first applications. I like to spend a lot of time talking to clients, like, you know, calling the logistic companies, the transportation companies. And they don't really care what the label is. They just want it done, right? It's like, hey, at the end of the day, I need to move this package from here to here.
Starting point is 02:08:42 I need to get this cash from this client. What can you offer me? That works, that I can trust, and that is fast, and that is not terribly expensive. So we try to avoid a little bit of the labels and then go to what does a client want a need at the end. And I think there are going to be many business models that are successful. It's changing very fast. Yeah. For my own curiosity, how is Spain thinking about AI?
Starting point is 02:09:19 Do they have a sovereign AI strategy? I don't know how closely you follow it. It must be at least. We could be here all day. Look, we are a little bit more technology forward than when we started 20, but not quite San Francisco yet. I will say that I get a lot of text messages from my friends back in my hometown who are, you know, running restaurants and hotels being like, hey, have you heard of this thing called Claude? And that that fuels me with joy.
Starting point is 02:09:55 As a country, honestly, we still need to get our strategy together. And although the culture is changing, and actually one thing that makes me very proud is that in the last year, we have found. four different Spanish teams here in San Francisco that have moved to San Francisco to start companies and they are crushing it. Back home, we still talk a little bit more about the World Cup than about AI. Change that. Well, that's, I guess, fair for this next month. Talk to us about...
Starting point is 02:10:30 Yeah, then after that. Yeah. Talk to us about coffee. How does that fit into a portfolio? I mean, is there a linkage? Is it just a good business by itself? Is it just a passion of yours? What's the coffee thesis?
Starting point is 02:10:43 Yeah. So look, we're a research first fan and we're always like, hey, what is going to happen to the construction market or the logistics market with robots? And as you guys know, all that's well and good. And then really early stage investor is all about the people. So when we met the Blank Street coffee guys, they were like, look, coffee's being. We're like, okay, we can agree on that. Yeah.
Starting point is 02:11:09 Like, you know, that we're only a lot of research with that. But honestly, it's one of the best pitches I have ever, like, heard in my life. They were yes, like, look, we're both, like, sons of immigrants and, like, immigrants ourselves. And, like, did you know that 80% of coffee cards in New York are, like, rollover by immigrants and it's a great path to, like, building wealth for the family and staying in the country. And, like, that's what we want to power. And we're like, okay, and the automation, and they were like, well, the coffee car is going to be great and, like, completely automated. And we're like, okay, we don't exactly know what that means right now, but these guys are awesome.
Starting point is 02:11:49 So we should write the best check. And that turned out to go great. Yeah. It's funny because there are examples of similar stories and then not going that great. So, yeah, it's so difficult to fix that. to square all of that when you see opportunity, but ultimately you find the alignment and then everything works out. What do you, do you think in deployment pacing?
Starting point is 02:12:21 Do you think in like two-year deployment, 10-year horizon? Like, is that changing in the modern era with so much uncertainty? I mean, we talked to Matthew Prince from Cloudflare about like, and we talked to a number of people about it's hard to plan two years, three years. years in advance of your public company CEO, also hard to plan ahead if you're a venture capitalist, but that's sort of what you're paid to do. Yeah, I know. Look, we have stayed remarkably consistent on that. Like all our funds have been like two and a half years to three years deployed. And we are going to the same thing with this set of funds. It is more tempting,
Starting point is 02:13:06 than ever to deploy very fast. And I'm an optimist. So we are currently in the, this is Wicombinator week, right? So I want to back like 50% of founders that I make or more. And my team is like, I just stop. We can't. We can't do that.
Starting point is 02:13:25 And you're right. You're right. It says, ah, there's so much to be like, these founders are so good. But we have built systems internally to make sure that we have that discipline because to your point, although it's very tempting and a lot of things are growing very fast, there is so much change that we want to get a little bit of feedback group, a little bit of data of, hey, okay, we are three and a half years into AI or whatnot.
Starting point is 02:13:54 What happens in year of five? And we want exposure to that as well. Fantastic. Well, thank you so much for coming on the show. Appreciate you taking the time. Congratulations on the fundraise. Let's do it again soon. Thank you.
Starting point is 02:14:05 soon. Have a good one. Goodbye. Cheers. Our next guest is already in the waiting room. We'll bring in Jerry. 60% of internet traffic on a company built in college. Insane.
Starting point is 02:14:17 Crazy. Insane. Yeah, that's such a high, such an impactful company. So good. Spain was locked in doom scrawling. He invented the Spanish group doom scroll. No, I'm sure it was probably messaging driven, probably more post-driven. but that is remarkable.
Starting point is 02:14:37 Anyway, we have our next guest, Jeremy Franklin, the fundamental co-binding CIEG. In the way of them, let's bring him in. What's going on? How are you doing, Jeremy? Good to be. You guys. Thank you for having me on.
Starting point is 02:14:48 I want to get straight into World Cup predictions, wagers, all of this. But first, introduce yourself in the company a little bit. What are you working on? And then let's go through the broader news and applications. Awesome. Yeah, I'm Jeremy. I'm the CEO of Co-Fundon, Fundamental.
Starting point is 02:15:04 fundamental build a foundation model for tabular data. So when most people think about the AI boom, they think about LLMs, you know, like chatypte, cloud. But what's less appreciated is that LLMs work well with unstructured data. So in my text, audio, video, but the global economy and enterprises really run unstructured data on table, such as spreadsheets, databases, CRMs. And that's, you know, the part of the enterprise that really never had a chat GPT moment.
Starting point is 02:15:35 And that's a market opportunity that we're focusing on. And so what we're doing for tables is what Chad GPT did for language. We pre-trained the model on millions of tables to understand how the world works in rows and columns. And so we created one model that generalizes across industries and use cases to allow companies to make better predictions and decisions on their data. Yeah. Okay. So everyone is going to say, oh, the frontier models, like they can spin up.
Starting point is 02:16:04 up a spreadsheet, they can speak CSV, they can write Python that generates and manages tables and tabular data, and the frontier is the frontier, it's always the best. But you're going to effectively be benchmarking your product against the frontier models around the World Cup. Walk us through the strategy, the wager, what's actually at stake there. Yeah, so I grew up in Belgium, and I'm a huge soccer fan. And a lot of us at the company also a big saga fans. And so what we realized is that, you know, his social team performances in games
Starting point is 02:16:40 can be structured in rows and columns. And so we started thinking around the office, like, can we actually use our model Nexus to make predictions on the World Cup? And we said, like, you know, maybe betting markets are off and we are right. So, like, we wanted to see how good our model was. And the funny things are at the core, our model,
Starting point is 02:16:56 you know, our company is focused on enterprises. So we're not really a consumer-focused company, but we, you know, thought we could have some fun with it. And so before doing anything, we wanted to see how good our model was historically. And so what we did is we train a model with data up until the 2022 work job. And so data such as who won in different international games,
Starting point is 02:17:20 the quality of the teams, whether games were home or abroad, and we ran more than 20,000 simulations. And what our model next is predicted or identified is that Argentina would be the eventual winner way before bookmarkers did. So if you look at what the market actually predicted, the market predicted that Brazil was going to win the 2022 World Cup up until the quarter finals when Brazil got knocked out.
Starting point is 02:17:44 And our model was much more accurate than that. And so we said, you know what, let's apply the same thing for the 20206 World Cup. And our model already differs meaningfully from what betting markets are predicting. So I'm excited to see what next to me. Yeah, I wish. America is a. America has a 0.5% chance of winning the World Cup according to a model. So you say that there's a chance.
Starting point is 02:18:11 I like those odds. I'll take those odds any day. John loves betting on himself. How's Belgium fair? Belgium is a slightly less than 2%. But I honestly have a fate. Okay. And then...
Starting point is 02:18:27 Belgium. Yeah. What's the population of Belgium? Roughly? 11 million. How many? 11 million? 11 million.
Starting point is 02:18:36 So a population of 11 million. Absolutely magging. Yeah. So are you also benchmarking the other frontier models, just going to the different models, open source models, and just asking them the same questions. Who do you predict? Well, when, build a probability table,
Starting point is 02:18:54 and then benchmark those as well, because I think you're going to want to not just say that you're better than the sports books, but you're also going to want to say you're better than the frontier models, correct? Yeah, but the frontier models themselves don't really work well with, like, predictions, right? But they can take a, I mean, they can predict the next token,
Starting point is 02:19:13 so they can, like, take a wild guess than if you smoke them, it looks good, right? Yeah, yeah, we could try that. We've not done that. We can definitely try it, but, like, you know, it's funny because, like, the frontier models, like, especially for predictions, they sound right. But I mean, they are not actually correct, though.
Starting point is 02:19:27 Yeah. And with chat GPT, it was the personalization, and in the personalization, I said, like never bet against America. So I'm sure it would just say like 100%. So yeah, you probably smoke it. Who are like how are you who are you projecting to win? What are kind of like the kind of key predictions that that we should be tracking as a World Cup kicks off? The betting markets have Spain and France neck and neck and we heavily favor Spain over France. The market also predicts that Argentina, I think, has like the fifth largest chance of winning
Starting point is 02:20:01 according to the market and we predict them a strong run of ups. Oh, interesting. Okay. So Spain, Argentina, Spain winning would look really good for you relative to the sports book. Correct. But I would be happy if Messi wins his second World Cup. Sure. Tell us about the company.
Starting point is 02:20:19 You recently raised some money? Yeah, so we raised $275 million. I think I don't know. Oh. Who did you raise it from? We raise it from Oak, Valor, Battery Ventures, Salesforce, and then a bunch of big angels like Alvin's universe from perplexity, Asabrapers from Wiz, and a few others. That's fantastic.
Starting point is 02:20:51 Very strong. Keep us posted as the World Cup progresses. And we're rooting. I'm not even rooting for any team. I'm just rooting for your predictions. I want you to know that. Yeah. I appreciate it.
Starting point is 02:21:05 And everyone can go and see them on soccer. Dot fundamental. Thank you. Soccer. Dot fundamental. Dot tech. Very cool. Great to meet, Jeremy.
Starting point is 02:21:13 It'll be fun to follow along. We'll talk to you soon. Cheers. Cheers. In other fun news, Thrive is out with $10 billion. Got a little mugged by Bezos with the $12 billion raise, but not bad. Not bad.
Starting point is 02:21:29 Thrive 10 and it's $10 billion, exceeding $10 billion, the largest ever, nearly double the size. the last fund for Thrive. One billion for early stage, $9 billion for growth. Biggest bets, just to remind you, Open AI, Stripe, SpaceX, Databricks, and Rural,
Starting point is 02:21:43 Cursor are all in the Thrive portfolio and a bunch of other companies. And so those have become the defining private companies of the current cycle. The strategy is concentrated, founder loyal, allergic to indexing the market.
Starting point is 02:21:57 The Fifth Avenue strategy, as discussed on Invest like the best, and Patrick Grossonis. Committed. is chiming in. Josh Kushner says, in markets, to go long on something is to bet,
Starting point is 02:22:08 it grows more valuable over time. Much of the conversation today is short on humans, wagering that AI makes people redundant. We believe the opposite is true for industries. Thrive Holdings operates in, and Patrick O'Shaughnessy shares a transcript
Starting point is 02:22:22 from Invest like the Best. They said, the North Star for the next decade of Thrive is, if we are a company and we have a product, what are the products that we can create that make us look more like the businesses that we ultimately invest in. The second part is the story of the story is after we invested in Open AI, the business had $50 million in API revenue, and several of us went around New York City and started pitching
Starting point is 02:22:46 a bunch of the private equity firms on this idea that they could use the API to create greater efficiency within their businesses. We were somewhat surprised by the fact that we did not get meaningful traction around these ideas, so Kareem, to his credit, said, let's just start doing this ourselves. We've always looked at the world that we've lived in as one that needed to disrupt from an outside in perspective. If you were to think about the paradigm shift of reinforcement learning, the things that you need are both data and that is proprietary to the company, but also the experts that exist
Starting point is 02:23:18 at the company to fine-tune the model. We believe that going forward disruption will happen from the inside out. We set up this permanent capital vehicle that enables us to buy these businesses and hold them in perpetuity because if you actually have a differentiated unique lens and cost of capital around these businesses and you're able to transform them in ways in which you ultimately want to hold onto them forever. So congrats to Thrive on the new round. Congrats to the whole team. Yeah, fantastic. Great stuff. The new fund. Anyway, leave us five stars on Apple Podcasts and Spotify. Sign up for our newsletter at TBPN.com.
Starting point is 02:23:54 And we will see you tomorrow for the SpaceX IPO. We're going to just be hanging out. We're We're going to have the stock price on the big board. Be fun. We'll see tomorrow. Goodbye. Throwing flashbang.

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