TBPN Live - China's Acquisition Spree, TikTok's Survival Deal, Intel Slips | Tuhin Srivastava, Bryce Strauss, Max Spero, Russ d'Sa

Episode Date: January 23, 2026

Sign up for TBPN’s daily newsletter at TBPN.com(02:08) - What China Actually Imports from the West (11:58) - Sony and TCL Form Alliance (17:08) - 𝕏 Timeline Reactions (21:19) - TikTok Deal (31:41) - Tech Giants Hit by Spying (34:36) - 𝕏 Timeline Reactions (43:02) - Google and Epic Games Settle (46:21) - Crypto Prepares for Quantum Threats (49:20) - 𝕏 Timeline Reactions (01:00:34) - Tuhin Srivastava is the CEO and co-founder of Baseten, an AI inference company that has experienced significant growth, raising $150 million at a $2.15 billion valuation. He discusses the rapid adoption of AI models by enterprises, emphasizing the importance of infrastructure to support scalable and efficient AI applications. Srivastava also highlights the challenges enterprises face in deploying custom models and the role of companies like Baseten in facilitating this transition. (01:17:17) - Bryce Strauss, co-founder of Nominal, discusses the company's partnership with Pratt Miller Motorsports, emphasizing the integration of Nominal's engineering software into the team's race operations. He highlights the challenges of endurance racing, such as managing fuel consumption and data analysis, and explains how Nominal's platform aids in optimizing performance through real-time telemetry and decision-making. Strauss also notes the broader applications of their technology across industries like aerospace and defense, underscoring its versatility in handling complex engineering problems. (01:30:48) - Max Spero, co-founder and CEO of Pangram Labs, discusses the company's mission to detect AI-generated content and its rapid growth since launching a Twitter bot in late 2025. He highlights partnerships with platforms like Quora to maintain content authenticity and addresses challenges posed by AI-generated misinformation, emphasizing the importance of accurate detection tools to preserve the integrity of online information. (01:50:59) - Russ d'Sa, CEO of LiveKit, discusses the company's recent achievement of becoming a unicorn with a $100 million Series C funding round, valuing the company at $1 billion. He attributes this success to the rapid growth of voice AI and LiveKit's pivotal collaboration with OpenAI on ChatGPT's voice mode, which transformed their focus from video conferencing infrastructure to AI. D'sa emphasizes the importance of user experience in voice AI, noting that personal assistants should exhibit human-like empathy, while B2B applications prioritize reliability and efficiency. (02:07:39) - WSJ Mansion Section (02:18:55) - 𝕏 Timeline Reactions TBPN.com is made possible by: Ramp - https://Ramp.comAppLovin - https://axon.aiCognition - https://cognition.aiConsole - https://console.comCrowdStrike - https://crowdstrike.comElevenLabs - https://elevenlabs.ioFigma - https://figma.comFin - https://fin.aiGemini - https://gemini.google.comGraphite - https://graphite.comGusto - https://gusto.com/tbpnLabelbox - https://labelbox.comLambda - https://lambda.aiLinear - https://linear.appMongoDB - https://mongodb.comNYSE - https://nyse.comPhantom - https://phantom.com/cashPlaid - https://plaid.comPublic - https://public.comRailway - https://railway.comRestream - https://restream.ioShopify - https://shopify.comTurbopuffer - https://turbopuffer.comVanta - https://vanta.comVibe - https://vibe.coSentry - https://sentry.ioCisco - https://www.ciscoaisummit.com/ai-virtual-summit.htmlOkta - https://www.okta.comFollow TBPN: https://TBPN.comhttps://x.com/tbpnhttps://open.spotify.com/show/2L6WMqY3GUPCGBD0dX6p00?si=674252d53acf4231https://podcasts.apple.com/us/podcast/technology-brothers/id1772360235https://www.youtube.com/@TBPNLive

You're watching TVPN. Today is Friday, January 23rd. It's casual Friday, apparently. It's casual Friday because I got the semi-analysis jacket on. Zoom in on this. Normally, I'm the casual guy. I thought I'd let John. Thank you. Thank you to Doug.

Thank you to everyone over at semi-analysis. This is fantastic. It's extremely comfortable. And I look like I'm ready to go to our data center. It's built for Abilene. I feel like this is built for Abilene. You throw this on, you're ready to go. see what the hypers

are up to maybe wire up some GPU racks do whatever you need to do incredible I love it so thank you to everyone over at Semianalysis

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low this thing it's got it's a phone it's so heavy feel how heavy this is it's a fantastic

presentation yeah It has a certificate of authenticity in metal. The Arc Pulse exclusive edition, Titanium Opal Damascus. The new iPhone has really been testing my case-free lifestyle that I've been running for... Yes. Oh, yeah. So many years now.

It's super bullish for cases. Like my phone's only a couple weeks old, maybe months old. And it's just completely destroyed on all the corners. It's really bad. So born from a fascination with precision engineering and material mastery, the Ark Pulse, titanium opal Damascus unites advanced metallurgy with sculptural intent. Every case is forged from over 100 individual layers of titanium, purged with argon gas, bonded at temperatures exceeding 3,000 Celsius.

So thank you to everyone over at work with this fantastic case that has been delivered with his own case, a series of cases. It's sort of a Russian nesting doll situation. So do you have news or can I tell everyone about ramp.com? Time is money. Save both. Easy-use corporate cards, bill pay, accounting, and a whole lot more, all in one place. Couldn't have said it by myself. What do you want to chat about? What do you write about today, John? I wanted to dig into the question that we had with Joe Wisenthal yesterday. What does China actually import? Obviously, this was off the back of Davos, Vice Premier Haley Fang, highlighted China's determination to become the world's market. They said, hey, we're the world's factory, but we also can buy stuff. Send us your stuff. We'll buy it. But what are they going to?

going to buy. So he said boosting domestic demand was now on top of their economic agenda. This is in their 15th five-year plan, something like that. And we were going back and forth. I'm like, what are they actually importing? We were saying semiconductors, but, you know, obviously there's chip deals and GPU bans. Now, interestingly, China, like the number one trade deficit for China is semiconductors. And it has been since 2005. So they want to, they want to buy semi-competters. conductors, obviously U.S. trade policy oscillates. But semiconductors are the single biggest deficit for China. In 2020, even before the AI boom, China imported 350 billion worth of semiconductors, which was more than the value of the crude oil it imported that year. And it's been the largest

importer of chip since 2005 and accounts for huge chunks of revenue for Qualcomm. It's over 50% of Qualcomm's revenue, I think, and over 25% for Intel. So everything that you get from China, if it's an electronics product, it's some gadget, it has a chip in there, that's probably going to be made in the West, you know, fabed in Taiwan or made in an Intel fab, sent over to China, assembled. But then sent back out. And then sent back out. Exactly.

So they aren't imported there. Energy is a big driver of the trade deficit with China. China imports 74% of its oil supply and 42% of its gas supply. Soybeans, which you mentioned in iron ore, also big categories. The iron ore obviously goes into a lot of, again, the factory, the world's factory. Why can't China make enough soybeans in China? I don't know.

It must be climate related. They love making stuff. Yeah, I don't know. That's a good question. We should dig into that. Luxury was what you said, and you were right. Luxury is a clear net import category for China. Estimates are around $100 billion annually.

Now, it's not the biggest driver of their trade. deficit or trade surplus. But it is, and it's also not critically important in the way chips or oil or soybeans or iron or are. But it is an important story. And almost all of Chinese luxury good imports are from European conglomerates. You've got to think LVMH and Caring. It's not strategically important, really. And the foreign luxury market in China, so European conglomerates sending their goods to China. It actually completely fell off a cliff in 2024. Imports went down about 20 percent based on more international shopping that was happening, travel, and domestic boom. So domestic Chinese luxury brands are on the rise. Lau Pu Gold is now drawing from the

same customer base as Louis Vuitton, Hermes, Cardier, Bulgaria, and Tiffany. Gucci is closing stores, I think around 18 stores are closing. While the local champion Songmont is seeing significant growth in their handbag business. So China does want to be the world's market, but they're also buying domestic a lot. The other dynamic that changed recently in the East versus West brand dynamic has been the acquisition of successful brands by Chinese companies with more competitive supply chain. So Morris Garages started in the 1920s and became synonymous with affordable British sports cars under the badge MG. Are you familiar with MG? Not super familiar. We got to pull up some videos of old MG's to show you.

My family actually had one when I was a kid, a really old one. Are you for with MG? I think my grandparents also had one. Yeah. No. It was like a cool, it was a really, really cool, like British, not luxury, not high end, but a true driver's car. So we'll pull up one of these videos while I tell you about the brand.

It's changed hands a ton. British Aerospace owned it at one point, so did BMW. But the MG business just collapsed because Britain had a lot of sports car manufacturing. They had Jaguar and Land Rover and Aston Martin, and there's a whole bunch of other companies. But the MGs, the old MGs, they still look great. Here's the video of one of them. Jordi, give me a review. Would you pick one of these up?

I like the soundtrack, too. There's a good song for an old retro video about an M.G. These were iconic back in the day. Yeah. I like it. It's got a nice silhouette. Yeah. Certainly a throwback.

sort of a Porsche Speedster style. I like it. But eventually the company failed 2005 and the brand was sold off to Nanjing Automobile Group, which was rolled into SAIC Motor, which is China's largest state-owned automobile manufacturer. And so the acquisition, it actually worked. And sales of new MG motor models have picked back up. Since 2019, MG has been China's most exported car with more than 80s. 88% of sales happening internationally. So they bought the brand. Any idea? Any idea where? Europe, Canada, basically everywhere except the United States. They sell them in England.

So the MG brand is still well better known in Britain. And with the new models, they're selling pretty well. We can pull up a video of the newer MGs because they have a sports sedan. They actually have, I think, like sort of minivan as well. But here's a review of the sports sedan. You see the quad exhaust. House of the world has never seen this. Look at this, they have this crazy tail fin that comes out.

They have a lot of like fun gimmicks on here. But there's the MG brand. Still alive and well, thanks to China. Looking MG cars on the market. At the front you can see the LED headlights with a striking DRLs, 19 inch alloys, sleek fast back profile with aerodynamic lines around down this 4.9 meter long car and frameless doors. At the back we have wide hips with flow.

with flowing LEDs with not two, but four exhaust tips. And surprise, they actually work because this Chinese car is not electric. Finally, I know. And after all that sportiness outside, in here you find... Yeah, it does. The rear end's nice. 375 liters of space with a liftback design. So it's super easy to load and unload stuff.

So this car is not just sporty. It's also daily friendly. They also have a sports car that we can... pull up that has some very interesting features. It has some scissor doors. It's electric. There's, there's a reveal video that we can play here. Look at this. This is the MG, it's like sportsster, speedster, something like that. Cyberster, that's what it's called. The cyberster. Look at those doors. That's kind of, it's, it kind of rips. It looks. Tyler, I mean, we've been, we've been wanting you to, to, for your next car to make sure the doors to go up.

Yeah. to kind of like establish dominance in the studio parking lot. I don't know if I can rep the Chinese. No. Yeah, yeah, yeah. Let's play the review of the Cyberster from Forest Auto Reviews. I really like this creator. He does one-minute vertical video reviews of cars from start to finish.

So it could be essentially compressing like what normally a 20-minute. And this is an electric drop-top sports car. And he just goes through everything really quickly. The electric thing aside, this thing is gorgeous. You have these awesome looking headlights. I get these gorgeous body lines. but I think my favorite part has to be the way the door opens. I just come over here, push this button.

And it just pops right up. So cool, but don't worry because if it's gonna hit something. It's hard to get those doors. BMW I-8, that's the only option in America, really. They really are cooking here. They are. Paddle shifters in an electric car. It just changes your drive mode.

But you could imagine with an update, you can do the synthetic DCT. Yeah. Digital DCT, which has been very popular in the Ionic 5 and, Tons of storage back there. See, you really gives you like a full tour of the car in just 60 seconds. In the back you get literal arrows as your taillights.

This can do 323 miles on just one charge. It does 544 horsepower and because it's all-wheel drive, if I put it at a speed. You cannot buy these in the US. No. 3.1 seconds. And then he rips it out. Boom. Loses some traction there.

You get Brembo brakes. And if this were sold in America, it'd be $41,500. That's not bad, right? That's a kind of a steal. Anyway, quickly, let me talk about Century. Century shows developers what's broken and helps them fix it fast. That's why 150,000 organizations use it to keep their apps working. So this trend has been going on with American or storied brands, European automobile manufacturers selling to Chinese companies. Volvo changed hands from Ford to China's Zhigang-Zhi Li Holdings

group. In 2010, the deal valued Volvo at 1.8 billion. And it also basically worked out. Sales have grown from half a million vehicles in 2015 to over 700,000 vehicles in 2023. And when I told you this, you were like, what? Volvo? I couldn't believe it either. Jili also bought Lotus, the maker of the Lotus Elise, the Avizia. There's a bunch of other sort of like more affordable sports cars, ultra-light sort of tossable cars. And so Lotus is also another British sports car manufacturer to wind up in China. And so the basic trend is like China excels at developing efficient supply chains, streamlined manufacturing operations. And it doesn't stop with cars. They're doing it with TVs now. So on Tuesday, Sony announced that they would be spinning off its home entertainment

business, which includes the TV brand Bravia and to their Chinese rival TCL electronics holdings. Sony is selling a 51% stake to TCL while the brand will remain Sony. The display technology will be TCL. And so Sony's been falling behind Samsung, TCL, LG, Xiaomi in terms of TV shipments for a while. But the brand still holds a ton of value. Like Sony TVs were the best a decade ago. And still today people like the software a little bit more. And the Sony brand, it still has the aura of the Walkman, the PlayStation.

It's just beloved electronics. And you see the Sony logo and it's just way more familiar than TCL. You think Japanese excellence? Yes, you do. And so Sony has been falling behind on the manufacturing front. TCL has been basically delivering a much stronger value prop on a price to quality basis. And the panel technology is loved and very competitive. But there's just more faith in the Sony name.

So the Chinese manufacturer is effectively pulling forward heritage and brand legacy by buying the name. And this feels like a trend that will continue for a while. China's fantastic and quickly grinding down manufacturing learning curves. developing high quality products at affordable prices. But creating an iconic brand, it just takes decades. And so it's better to buy than build. So smart. This is the one thing you buy instead of built.

And so Western companies, after getting beat up on margins and seeing their market share slowly shrink, I think the Sony TV market share was like dropping to less than 1% while I believe Xiaomi is at like 6%. I didn't even know Xiaomi makes TVs. Yeah. Phones and cars and apparently they make everything. It is such an interesting dynamic because you have. have, like, you know, Western brands and manufacturers that have just been saying, like,

yes, China is out competing us on manufacturing by, like, 2x, we're getting destroyed. We need, we basically need tariffs and things like that to protect, to protect market share, et cetera. Yeah. But the one thing that they'll never have is brands, right? Because it just takes so long, you know, building up the Volvo brand is not just like an advertising budget. It's time, and it's their safety record and all these things that go into that. It's also like who buys it.

If you out compete just on manufacturing long enough and then you're, and then you get these opportunities to actually buy the top brands. Eventually you can actually own the full stack. Yeah, yeah. So we've got to look at one more M.G, their hypercar. It's a concept car. Probably will never ship, but I want your review on whether or not you would step into this and take it for a spin.

This is the MG hypercar or supercar. This is from Supercar Blondie. And Supercar Blondie has an uncanny ability to get access to every concept car ever made. I'm constantly seeing Supercar Blondie content about cars that feel like they barely exist. So it's single-seater. Single-seater. Like, this is like a competitor to the Valkyrie or something. Valkyrie's two-seater.

But, yeah, it's like a crazy, like, I mean, this is probably just for show during a big conference. something to turn heads and draw eyes, but pretty remarkable to see this from M.G., the company that made these open-top roadsters in the 1920s. Yeah, I mean, it just looks like pretty close to a speed tail. It does look like a McLarence Speedtail. Which is also the center seat. Also, McLaren's speed tail. Inductive charging.

Have you seen this? No. So there's a pad that when you drive over it, it will charge the battery. And I think that's also available on the new... So it's still a trickle charger. It takes eight hours, but you don't need to plug it in. And I think that's also happening with the new Porsche SUV EV, maybe the Cayenne EV. Ferrari should pick that up.

Ferrari loves to put their trickle charger. Tesla should pick it up. Tesla's the obvious one. No, but Ferrari is notorious for being like, oh, that thing you need to use every time you drive your car. We're going to put it buried in the trunk. You're going to need to crawl in. Yeah. I mean, the, like, the Tesla charging, remember the robotic arm, the snake that was going to, do you remember this? Tesla was at one point teasing, this might have been like a decade ago, but they were teasing basically a robotic snake-like arm that could go and plug in the car, like autonomously.

So you would just pull in, and then at some point it would just go and plug in, and they never shipped it. You're looking at me like, I'm crazy. I've never heard of that. But I think they should also do the, you know, there's the Chinese EV where the battery explodes at the side. That thing is crazy. Yeah, yeah. Can we pull that?

Yeah, yeah. You know, if you're next, you pull up next to your ops, your enemies, you just hit him in the shins with your battery. Yeah, yeah. Okay. Jordy,

I want you to try and pull some of that up. But first, I'm going to tell you about turbo puffer, serverless vector and full-text search, filled from first principles and object storage, fast, 10x cheaper, and extremely scalable.

Do we have any luck? John Arnold says, I don't know if Chinese manufacturers will ever make money, but I came away not wanting to invest in any manufacturing business in the rest of the world. And Ian Roundtree says, I'm going to keep investing in American manufacturing. So people are still pushing it. There's also big news.

Anderl is bringing a one million square foot union-built campus along with 5,500 jobs to the city of Long Beach. The office of Mayor Rex Richardson, the Long Beach mayor, posted this. over the next three years, Ander will be building this. This is the largest private investment in Long Beach history. And it's a major vote of confidence in Long Beach's leadership

in aerospace and advanced manufacturing. It's accelerated by 28 and grow Long Beach in action. Great work. Lex, love to see it, says, Daniel. It's fantastic. And what a banger. A thousand likes on this.

Everyone's happy about the new Anderral campus in Long Beach. Anyway. I have this pulled up on futurism. China unveils EV that can violently eject its battery in case of a fire. Okay. Send that to the team. I'll tell everyone about public.com investing for those that take it seriously. Stocks, options, bonds, crypto, treasuries, and more with amazing customer service. Okay, if you scroll down this video and we can see this in action and see what kind of situation.

Yeah, this is so wild. I remember when this video went viral. It's like, what is the point? Oh, it's because if it crashes it's going to burn, it'll shoot it out. But, oh, that just sees, like, so, so dangerous. But at the same time, people, people, you know, watch these videos and they think, like, oh, this is, like, widespread Chinese best practice when really, like, this is probably, like, their gundo equivalent, you know, just, like, a couple dudes. It is interesting that they're, like, we don't just need to get it 10 feet away. We need to get it 30 feet away.

Yeah, yeah. Because you could just, like, gracefully drop it out or something. or like slide it out sort of slowly with a little pusher, but they have to shoot it out like a cannon. That's amazing. Anyway, Gemini 3 Pro, Google's most intelligent model, yet next level vibe coding, state-of-the-art reasoning, and deep multimodal understanding.

And speaking of Google, I think we got to watch the video about AI industry news. Every two weeks, one of these models is destroying someone else's model, and we found a fantastically funny video on Instagram. Reels that we will play for you today, folks. So let's play the comedy. Google just destroyed Pinterest and Chad GPD. Chad GPD destroyed Perplexity and Google AI.

LinkedIn AI just ruined WhatsApp AI, meta AI. No. IRCTC AI just destroyed Uber Rola AI. Wow. Wow. Really? It's so good. What is that last one?

IRC-T-C-A-I. He's just making up acronyms at this point. But it really is so true that, like, there's just a time-honored clickbait title of, like, destroyed in all caps. I used to do it on my YouTube videos, always went viral. It's been proven.

I was taking credit for inventing that format on YouTube. Brandon Garell put me in the truth zone and said that, I did not, in fact, create that. That was created long before the BuzzFeed. The BuzzFeed era and is potentially time honored. Anyway, I will drop the video link in the YouTube chat.

And while you're doing that, I will pull up the linear lineup and tell you who we have on the show today, folks, because we have a great lightning round coming up. We have Turin from Base 10, Bryce from Nominal, Max Sparrow, the AI Slop Janitor from Pangram, and then Russ closing out with LiveKit, some fantastic,

funding rounds coming up. Linear, of course, is the system for modern software development. 70% of enterprise workspaces are using linear with agents, and you should be two. That's right. What's going on with TikTok? TikTok is sort of the reverse, honestly. It's very interesting. You have this dynamic of like the American companies or the Western companies, MG and Sony selling to Chinese because they have great manufacturing. And then TikTok, you know, we want America wants control over the algorithm, over the data, security, and so you have a Chinese company

that's now going to be operating in the US, and the Wall Street Journal has a piece here on it. First, I will tell you about Lambda. Lambda is the superintelligence cloud, building AI supercomputs for training and inference that scale from one GPU to hundreds of thousands. So the agreement was negotiated to comply with a 2024 law requiring the company to do a deal

to address US national security concerns. Of course, it was a total like, well, they won't they, for all of 2024. with TikTok. And then also in 2025, we were constantly tracking, like, when will this happen? It took years and years and years and years. Like the actual TikTok should divest discourse is now like three or four years old. Lots of people have been working on this for a long time. But Rome wasn't built in a day, and TikTok was not divested in a day. But TikTok officially established a joint venture that would allow it to keep operating in the United States. The company said Thursday,

resolving a year-long fight to address Washington's national security concerns. Under the terms of the deal negotiated by the Trump administration, the popular video sharing app will be operated by a new U.S. Entity controlled by investors seen as friendly to the U.S. Its data management and algorithm training on American users will be overseen by Oracle, the cloud computing giant that has safeguarded its data for the U.S. for years and has close ties to the Trump administration. The deal was negotiated to comply with a law passed in 2024. President Trump delayed the implementation of the law a year ago after starting his second term to keep ticker. to take the United States. He signed a series of executive orders to extend the deadline

for completing a deal until it was met Thursday. Trump said in a social media post, I'm so happy to have helped in saving TikTok. He thanked Chinese leader Xi Jinping for working with us and ultimately approving the deal with a capital D. He could have gone the other way but didn't and is appreciated for his decision. Trump and TikTok's investors and allies

pushed the deal through despite lingering concerns among lawmakers and security hawks that China could still influence the new entity through TikTok's parent bite dance. Yeah, so it makes sense that this took so long. It sounds really simple. Just divest, but in reality you have to

effectively rebuild an entire app, right? Yeah. It's got to be, it's going to be like a new app, figuring out the logistics of that. There's also just a ton of hair on the deal, right? There's a huge revenue share that's going back to bite dance in perpetuity.

that is obviously reflected in the valuation. And then the other factor is like if you have a U.S. TikTok now and then you have normal TikTok, if I'm on the U.S. TikTok, am I sharing content to international TikTok? If I'm on the international TikTok, is it sharing my content back into the U.S. app? How does that all work out? And so there's a lot of stuff that still needs to be handled.

I would say like most of the social media app, pretty much every social media app that you use. If you just cut off all international content creators, the experience on the app would get worse. So there needs to be like some content still flowing back and forth, but figuring out how exactly that works is still in process. Yeah. TikTok CEO, Show Chu, said an internal note to employees.

The majority American-owned joint venture will operate under defined safeguards that protect national security through comprehensive data protections, algorithm security, content moderation, and software assurances for U.S. users. The whole TikTok debate really erupted when TikTok CEO, Shochew, was in front of Congress and was not really acting like he was the boss, basically. That was the main criticism. It felt like he didn't have full control over the entity because, of course, it's a subsidiary of Bightance. And some of the U.S. lawmakers were pressing him on how much.

control he actually has. Did they send the right person to the congressional hearing? But it seems like he's held on and he's done well. He's also Singaporean, by the way. So, you know, easier to, you know, be a part of the new U.S. TikTok organization and allay any concerns of Chinese control, which is certainly at the heart of the administration's goals here. So who's in the deal? You got Oracle, you got private equity farm, Silver Lake, you got Abu Dhabi based MGX. They will each own 15% of the new entity, while TikTok investors will own about 30%. Other notable investors include J.D. Vance's former firm Revolution and tech executive Michael Dell's family investment office. Dell's getting in the deal. Vance spent a brief stint at the

firm founded by AOL co-founder Steve Case during his time as a venture investor, which preceded his 22 Senate campaign. I didn't realize that JD had been at revolution. I know he was, he had a separate venture firm, but I didn't know that he was hanging out with Steve Case, the former co-founder of AOL. Vance has said previously that the deal values the new entity at about $14 billion. A lot of people thought that that was really, really low given TikTok's immense growth, but there is another side of this, which is that TikTok, I don't believe, was ever monetizing or as profitable as the its competitors, YouTube and and Instagram. And Mark Zuckerberg and the Google team were not like exactly slow to move and launch

competitive products. And so a lot of the, you see this continuously where Snapchat comes out, stories is on a tear and you're looking at the Snapchat growth curve and you're like, this is going to kill, this is going to kill Facebook. It's going to be the next Facebook, and Mark Zuckerberg needs to acquire it. He puts in an offer, gets declined. And it looks like it's over, but then the Instagram team moved really quickly. They launched stories, and that effectively, you can see in the chart, stories launches on Instagram,

and people stop moving on to Snapchat. And so a lot of people went back who were on Snapchat. They went back to Instagram, and Instagram continued to grow, and Snapchat, it did in the flatline, but it definitely put a dent in their growth. And I think the same thing is true for TikTok. like TikTok, a lot of people who just want that format, vertical video, endless scrolling slop, they can get that down. We got American-made troughs all over the place.

Everywhere the eyes can see. So the investors are paying the U.S. government a multi-billion dollar fee for arranging the deal, a concept Trump previously called a tremendous fee plus. Interesting. TikTok said it had 200 million users in the U.S. up from its 2024 estimate of about 170 million users. So decent growth, but I don't know.

I mean, 200 million in the U.S. is a lot. That's pretty much everyone. Yeah, I guess the question is, will they ever get the rest of the U.S.? In the way that YouTube, you could assume, has, like, effectively? You think they have, like, 300 mil? Yeah, I would assume that... I don't know, there's a lot of Philistines out there.

There's a lot of Luddites who are just like, no, I want DVDs. I want VHS tapes. Anyway, Trump touted his popularity on TikTok earlier Thursday, posting on truth social, that his posts on the platform, TikTok, get more engagement than posts on TikTok competitor, Instagram, which is owned by meta platforms. Trump said that TikTok helped him win the second term. For what it's worth, that's always been the case, right? Like, TikTok has always had allegations that they were boughting, like, as a platform effectively. people would go on there and they'd be like getting a tremendous amount of followers, tremendous amount of just engagement broadly far more than than they would have on Instagram

with the same content. And some people would say, oh, that's because the TikTok algorithm is so good. And there certainly are a bunch of very real people on TikTok. I don't mean to say that it's all bought it. But the experience of using TikTok, a lot of creators, will just naturally have six times as many TikTok, followers as they do Instagram followers. Yeah, yeah.

It does seem like the algorithm is set up to, like, serve you more content in a 10-minute session because you're more quickly scrolling. And then there's also accounting issues. Like on some platforms, if you just scroll past something for even one second, that counts as a view. On other platforms, it might take three seconds. On other views, other platforms, it might be 10 seconds a minute.

You might need to watch the full thing. So there's always like accounting abnormalities there. Anyway, if you want to stream on TikTok because it's American O, now you want to bring some Oracle-focused content to TikTok on live-stream. Some SaaS-focused content. Get on Restream, one live stream, 30-plus destinations. If you want to multistream, go to Restream.com. This might hit you like a sack of bricks. Yep.

But breaking news, J.D. Vance is younger than Future. That is a crazy step. 22,000 lights. Future is straight up an elder. He's an unk. No, he's beyond. Oh, yeah, he's an elder, I suppose. Yeah, you're right.

He's, uh, not quite an OG. Oh, no, it goes, it goes, then OG, then elder. Right. Yeah. Right. Gen Z are arriving to college unable to even read a sentence, says Fortune, reposted by Unruil Wales. See if you can read this.

See if you can read this. See if you can read this. Try and read this. Wow, he can't. He can't, he can't do it. Slopped. I just, I need like some subway surfers or something. Yeah.

Yeah, I'm going to need some subway surfers to read this next sentence. Anyway, Gusto, the unified platform for payroll benefits in HR built to evolve with modern, small, and medium-sized businesses. Get on gusto. We have some drama that's continuing to unfold in the, in the payroll space. The Justice Department opens a criminal probe into Silicon Valley spy allegations. subpoenas seek information on allegations that deal valued around $17 billion, recruited a spy inside a rival company. This is a huge story last year.

And then it's been pretty quiet, and both companies have just kind of been chugging along. Spending a lot on legal. Yeah. So the Justice Department opened a criminal investigation. Grand jury subpoenas were sent out in recent weeks by Craig Massachian, the U.S. Attorney for the Northern District. of California, the document show they seek information related to a spying operation that

Deal allegedly ran inside a rival company, Ripley. An Ireland-based Ripling employee in case you've forgotten. Keith O'Brien alleged in an affidavit filed in April that Deal CEO Alex recruited him and gave him instructions for what information to take from Ripling. O'Brien alleged that other executives were involved in the spying plot, including his father, who is Deals' executive chairman and chief strategy officer, a spokeswoman for Deal said the company isn't aware of a criminal investigation, but is willing to cooperate with authorities. That's an interesting statement. The Wall Street Journal is reporting this, and you find out

from a Wall Street Journal reporter. That's wild. So the company has previously said, we deny any legal wrongdoing and look forward to asserting our counterclaims. So Deal says we didn't do anything wrong. Of course, the affidavit from Keith O'Brien is extremely dramatic. There's that whole, like, you know, oh, send that watch to London, we're going to be like James Bond. Like, it's a really dramatic read. And you can go back and watch some old TVPN episodes if you want

to hear a full take on that. Yeah, it's interesting. They're not, they're... Yeah. Yeah, I wonder, I wonder what information is actually available kind of publicly on this, because like obviously in a situation like this, you have both sides that are kind of like feeding the media their side of the story.

But what we do know... of the facts of the facts here, like the Justice Department did open this, because the Walser Journal confirmed that the Justice Department opened the investigation. So, anyway. It didn't stop deal. I think a lot of people weren't expecting this to actually have any type of like criminal component. Yeah, I think a lot of people were just expecting like a lot of drama, a lot of, you know,

and they would eventually just like settle. Exactly, settle. And like the worst case was like, okay, maybe it's like a, like a, you know, like a series D size payment for Rippling, but they're both going to just keep grinding. But it seems like it's going to the court, so we will see. Maybe there will be, maybe there will be, you know, courtroom sketches of these folks. Yeah. Anyway, Nick, the chief opening eye leader, has some breaking news from CNBC. Open AI chair, Brad Taylor, says AI is, quote, probably a bubble, expects a corruption in the coming years.

And Nick is, his camera role is truly just filled to the brim with images of Sam Altman in various, like, you know, double. The guy has probably the largest collection of Sam. Rare Altman, so sure. He has every photo that's ever been taken of

Sam. And Nick just says, LMAO. Yeah. But anyways. This can be true, like, you know, who knows? I wonder what more of the context was that. I mean, a Brett Taylor quote, taken out of context, turned into a headline. And then it's like, nowhere, of course, would Brett Taylor be like, oh, yeah, I think, I think LLM usage is going to fall off a cliff.

Yeah, it's like, yeah, yeah, there's a variety of different companies and kind of subcategories that could be overheated. Yeah, you could take, you could, you could easily dig into that. And he's like, there's a bubble in like seed stage valuations. I can't get an angel check-in at less than 50 pre. The bubble can take a lot of different shapes and stuff. Who knows what he was actually commenting on? Anyway, CrowdStrike, your business is AI. Their business is securing it.

CrowdStrike secures AI and stops breaches. Another clip from Demis from the Big Technology podcast. He's taking shots at open air, according to Yuchin Jin. I think actions be louder than words going back to the original conversation we were having with, you know, Sam and other. claiming AGI's around the corner. Why would you bother with ads then? So that is, I think, a reasonable question to ask.

But I think, look, from our point of view, we have no plans at the moment to do ads. If you're talking about the Gemini app, right, specifically. I think we are going, obviously, we're going to watch very carefully what, you know, the outcome of what Chachapit is saying they're going to do. I think it has to be handled very carefully. but I think action speak louder.

There's a reason. Post-AGI, the clankers need to advertise to each other. You've got to do ads for the clankers. Ads are fun. I mean, the thing here is, like, opening I has to not only, like, figure out how to actually implement ads within the product, but they have to build out all the advertising, like, infrastructure, the platform infrastructure in order for people to run campaigns successfully and at scale.

So Google already has all of that. It is far easy. Like, it is what do you think it's like, 100? times easier for Google to turn on ads in Gemini. Right? They already have all the customer relationship. Literally any company that advertises online, it's already working with Google. And so it's really just like you can just flip the switch. And so I could easily, you know, don't have any inside knowledge, but I could easily see Google just like having it all basically ready to go.

And it literally just being like, okay, we can launch this whenever we want. There is an interesting steel man here. Let me try and do it. So, Sam, I might need the helmet. I might need the helmet, but I think I'm good for now. So Sam and others, well, first let me tell you about advertising. Vib.com, where D2C brands, B2B startups, and AI companies, advertising, streaming TV, pick channels, target audiences, and measure sales, just like on meta.

So the steel man on Sam Malton and claiming that AGI is around the corner, but we still got to do ads. Well, around the corner, even if that means six months, like if you have an incredible capital expenditure to get over that hump to create AGI. It's only six months away, but you've got to do that last data center and you've got to raise that last 50 billion and all of the investors. Yeah, it's easy to say, like, we don't want to do ads when you have hundreds of billions of dollars in existing ad revenue coming in, funding everything that you're doing. So anyways, I think this is, you know, I mean, we can also debate whether or not ads will exist post-AGI.I. I would argue

that they would, but what do you think, Tyler? There was that headline about how Open AI, maybe they're thinking about, like, taking a percentage of the share of, like, the discoveries. I don't know how they would actually do that, or if it's like they're being serious at all, but that's like much more AGI-I-peeled, right, than ads. Yeah, yeah, oh, yeah, that's a good point.

So they're doing both. They're doing both. Anyway, New York Stock Exchange. Want to change the world, raise capital at the New York Stock Exchange. Just do it. Just do it. apparently Vimeo almost everyone at Vimeo

was laid off including the entire video team I would assume that most of their team so unfortunate I have some fond memories of being a teenager when Vimeo was like really

Vimeo was so differentiated it was where you there was like a level of quality that it wasn't just like some random short films in my case it was like surf yes yes yes yes

it was like if somebody was putting a ton of effort into making like a surf movie or, you know, some snowboarding movie. It would be on Vimeo. Yeah. And they wanted higher quality footage. You could get higher bit rates, 4K, HD. Like, they were really on the front tier of that. Yeah, I remember watching a lot of ski videos there.

There were some great ones. And also just like it was a place where people would put their short films. They had the Vimeo like, you know, awards with the little wreath laurels that you could rest on. But eventually YouTube just went everywhere, all places, the ads went away for the people that care about that because they had premium subscriptions, and ultimately the quality on YouTube just got better and better and better, and now you can get 4K really high bitrate rate on YouTube, and it's indistinguishable from Vimeo. So fewer and fewer and fewer ways to make a case for consumer adoption, essentially.

I certainly would not recommend anyone who's making video content distribute on Vimeo. I put everything on YouTube because YouTube has a massive audience and it's an aggregator. Yeah, discoverability is just so... Hyald Harry has the meme for the moment. He says, but now we shall both surely drown, said the frog. All right, said the scorpion. I don't think this is exactly right. Like if you buy, if you're a private equity firm and you buy an asset like this,

and you lay off the team. Like, you're likely, there are still people that are going to be trying to extract the value from that asset. It just might be a team in a different section of the firm or an outsourcing agency or something else. I would be surprised if this means that Vimeo is shutting down.

I would imagine that they're trying to continue whatever business relationships they have and whatever subscriber base they have. Anyway. Banjo says Vimeo was cool, but if you know about Vimeo, it probably means you're old. That's true.

That's certainly true. You know about Vimeo? Yeah, I know what Vimeo is. What's the last thing you watched on Vimeo? I have no idea. Yeah. But I remember, yeah, it was like artsy films would be on there or something.

Yeah, that was good. Anyway, App Loven, profitable advertising made easy with axon. Dot AI, get access to over one billion daily active users and grow your business today. What is all this? So Matthew Zitland says, my basic model of modern artificial intelligence labs is that they are like emotionally intense graduate school programs, but with unlimited money. Matt Levine is writing about this.

And Mary says, my friend is dating a guy who works at one of the frontier research labs in SF. And his sole job is to think and come up with a big idea every six month. Capital B, capital I. So his workday consists primarily of long walks spent pondering. That's a good job. very Wilmenitis coded. That's amazing. I mean, that seems like, honestly, in the age of research, in the Ilius Sitzkivir world,

like this is probably a good use of time as opposed to. There are plenty of people that will lock in and, you know, improve, make minor improvements to the consumer application or the consumer side of the business. But. Yeah, in a world where you have, you know, infinite minds, when you're a manager of infinite minds, what did Satya was quoting. Yeah. Notion, co-founder.

Yeah. probably just walking, pondering, thinking about what the next set of tasks to assign to your infinite minds. Well, Epic Games and Google apparently have a secret $800 million Unreal Engine and services deal. And the quote in their scoop, quote, sorry, I'm blowing this confidentiality. What a crazy quote to give to a Verge reporter. But we're going to dig in. Addy Robertson and Sean Hollister have the story. Judges questioning whether Epic games and Google are settling their long-running antitrust fight, partly because of a previously unannounced partnership involving the Unreal Engine,

Fortnite, and Android. In a hearing in San Francisco today, the court revealed that Epic and Google have struck a new deal that apparently includes joint product development, joint marketing commitment, and joint partnerships. California judge James Donato expressed concerns that the agreement, which he indicated would involve Epic, quote, helping Google market Android and Google's newly, quote, using Epic's core technology could have led Epic to soften its demands for changes to the overall Android ecosystem. Donato allowed Epic and Google to keep most of the details of the plan under wraps, but during

the hearing, he quizzed witnesses, including Epic CEO Tim Sweeney, an economics expert, Doug Bernheim, on how it might impact settlement talks, revealing some hints in the process. Quote, you're going to be helping Google market Android, and they're going to be helping you market Fortnite. That deal doesn't exist today, right? Donato asked Bernheim, who answered in the affirmative. He also described it as, quote, a new business between Epic and Google. Sweeney testimony cracked the mystery a little further. He referred to the agreement as relating to the Metaverse, a term Sweeney has used to refer to Epic's game Fortnite. Epic's technology is used by many companies in the space Google is operating into

train their products so the ability for Google to use the Unreal engine more fulsome. Sorry, I'm blowing this confidentiality, Sweeney said. Oh, that's a great line. Yeah, I mean, we've seen a number, what was it? What is the deep mind model that plays the games for you that I'm in the market for because I don't have any time to play video games, so I need an AI agent to do it for me. They have a number, so they have Genie 3, which generates basically a 3D world. that you can walk around in.

I think it's Seema 2. Seema 2 will play the game for you, and both of those should, in theory, benefit from using Unreal as the backbone. Elon's probably pretty excited about that as well, right? Why? Because he likes to play on accounts that are... Oh, yes, yes.

Oh, yeah. Oh, yeah. So instead of needing to hire someone, you could bot your account. People already do that with, like, AIMBots and stuff. Usually you get banned, but it makes a lot of sense in terms of training Google's generative AI models, use Unreal, create a bunch of virtual worlds,

walk around in those, interact in those, use them as reinforcement learning environments for agents, and then bake that out into a bunch of different models that can be used for a bunch of different things. I'm super excited for all this, but it's just funny the way it's coming out. Anyway, if you need a reinforcement learning environment, you gotta go to Label Box.

Reinforcement learning environments, voice robotics, evals, and expert human data. Label Box is the data factory behind the world. world-leading AI teams. So Coinbase established an independent advisory board on quantum computing and blockchain, quantum computing, if built at scale, have the potential to reshape entire industries. We were talking to Kathy Wood about this a little bit yesterday, from finance to health care to material science and national security. For blockchain, the stakes are especially high. The cryptographic foundation that secures digital assets today could be challenged by the advances

of the coming years. At Coinbase, security is our highest priority and preparing for future threats, even those many years away is crucial for our industry. Most people, I think, handicapped the quantum thing at like 2030, 2030, 2032, 2040. I think Kathy Woods' estimate was 2040 for serious quantum adoption, even if you get on a Moore's Law-type adoption curve. But, yeah, Nick Carter's been super vocal on X about quantum just being like the biggest headwind to like further Bitcoin price appreciation. Yeah, I mean, there's also this question.

Maybe I'm just like very, I'm like, super out of the loop, but like if you can crack, like, whatever, the Bitcoin or any, like, blockchain with quantum, like, surely you can also just get into, like, you know, banks or, like, tons of, like, things that are, like, probably way more important than crypto. Yeah. It's like, if we have a world where you have, like, these incredibly powerful quantum computers, like, is crypto actually the most important thing that you need to be worrying about? Or is it, like, the nuclear codes that are...

So... Surely those that are stored... Yeah, you're probably right with the nuclear codes. But in terms of just like fiat stored in a bank, there are a series of backups that are offline. There's even paper backups at certain points. And so like the financial system, although they probably don't want to talk about it, it does have the ability to effectively roll back. So if there was like some massive quantum hack and like all the Morgan Stanley or JP Morgan accounts or Goldman Sachs accounts were like drained, they would just be like, let's revert. But you can't do that on a blockchain necessarily.

So, but there is still the dynamic of like, what happens if you crack Bitcoin, like, how much are you stealing? How many new bitcoins are you doing? Yeah, I mean, really, if you, like, steal any Bitcoin, Bitcoin just goes to zero. Probably. But that's obviously still a threat. Even if you just have some malicious actor who's just like, I'm going to take out a short position on Bitcoin, tank it and profit from that, that could potentially be disruptive, certainly disruptive to the coin-based business. So good to see them taking it seriously. Anyway, MongoDB.

Choose the database built for flexibility and scale with best in class embedding models and re-rankers. MongoDB has what you need to build. What's next? Let's go to Scott Besson. He was complaining about the food in Davos, and he did an interview on Real America's voice, I guess, with Jack. So again, if you're looking at Davos as though it's a bunch of kick streamers. Yes.

That is the correct. He's effectively. That is the correct frame of mind. effectively been just clip farming. Yeah, yeah. This whole time. Okay, let's watch the Scott Besson clip. Certainly they don't want carnivores here in Davos with the food.

You're not a huge strain of the food here, I heard, by the way. You know, I know, no. And no, I know if you remember a couple years ago, one of the recommendations from the Davos elite was we could all be eating bugs and insects. Yeah, the insect food. Yeah, right. I tell you, after a couple of days of the food here, I may switch to bugs and insect. You'll take it

It's a food Unless that's what it is Or I'm telling you Cricket snacks fell off They did You remember They were really People were really pushing this

They were saying Oh the protein content Is so high And I think humanity Rejected it Pretty hard You know You know the story of Magic Spoon

Were they going to put Cricket No They did a previous company Called Exo That's right It was an American insect food company.

They made some protein bars using cricket flour from pulverized house crickets. House crickets? House crickets, I guess. That sounds like you're taking the pets. They did a Kickstarter in 2016. They raised $55,000, which was more than their $20,000 target. They raised $5.6 million in Series A funding. I wonder from who.

There's an article in the journal. There's an article in Business Insight. That's I'm honest. Knaz invested, no way. Legendary rapper Nause invested in a company that makes protein bars out of crickets. Okay, so on the exo protein site,

all their bars are sold out. No, a couple, you can still get banana bread cricket breakfasts. Company was acquired in 2018. Okay. Aspire food group. You can get salted caramel. Yes.

Cricket bars. Okay. And you can just get one pound of cricket powder. You can get a quarter of them. They should just get into selling live crickets. Just, Just deliver them. Get your enemies' addresses and just deliver them.

No, but so I think they... 1-800 crickets. I think they would... The team certainly found a niche, a weird, like, you know, breakthrough, you're going to get a lot of earned media with a bizarre ingredient like that, but the ultimate traction, I think people just have an aversion to bugs and they just conjures, you know,

images of bugs crawling around. Blood memories. You don't like it. Yeah. And so they sold the company, but then they started Magic Spoon, the not cricket base. Which just immediately ripped. It ripped.

It was fantastic business. And I'm sure you've seen a ton of, you know, podcast ads about Magic Spoon and everyone's familiar with that company. So, you know, if you're in crickets, if you're in bugs, pivot to cereal, I guess. And that's what Besson's saying, saying he wants Pop Tarts, Pop Tarts,

basically, Magic Spoon. Magic Spoon might even make Pop-Tarts. I don't know. Anthropic published a new Constitution for Claude. The Constitution is a detailed description of our vision for Claude's behavior and values. It is primarily written for Claude and used directly in our training process. Was it written by Claude? Did Claude write its own constitution?

That's a good question. You think, yes. Rahul over at ramp said, basically, TLDR is, I love you, you love me. We're a happy family with a great big hug and a kiss for me to you. Won't you say you love me too? You really know the Barney song. It's amazing. I didn't just sing it as a kid. I stopped. He studied it, John. He studied it, yeah. More importantly,

Buzzballs. Incredibly important. Thank you. Is selling a $35,000 diamond engagement ring shaped like its drinks. The ring will be auctioned on eBay starting February 3rd. How is it actually going to be, is 35K like the... Opening, opening bid? Or maybe it's $35,000 worth of diamonds.

It costs them $35,000 to make it, and they're going to be. to make it and they're going to put it on eBay starting price a hundred bucks and then it'll get bid up I guess I don't know yeah um proceeds will from the sale will benefit a heart related charitable cause it's kind of odd for an alcohol brand to be like we're I don't know that's cool I mean if you're if if anyone out in the audience is wanting to propose and like doesn't really know how to is struggling to figure out like the right kind of like moment or way to propose this is like toss a buzz ball out of the box. That's a woman in your life.

Toss the buzz ball at the woman in the dream. Yeah. She has to say yes. Yeah. Is this rage bait? Is this good marketing? Do you think this is good for Buzzball strategically? What do you think?

I don't know if it's, I mean, I find plenty of moments to talk about Buzzball already. Okay. Unnecessary. I mean, it is gimmicky, but the whole brand is sort of gimmicky to begin with. And so it doesn't feel out of context. It doesn't feel like they're trying to be. be a serious company and then they did something wacky on the side and I'm confused. This is like feels within the buzzballs lineage within the buzzballs brand,

brand world very much so. Anyway, whoa. If you're heading to Cisco AI Summit, be sure to bring some buzz balls because on February 3rd, Cisco is bringing together leaders from Nvidia, OpenAI, AWS, and more to discuss the future of the AI economy. We will be there. We have to see you there. We will be there for a stream. What?

Do you know who came up with the idea for Buzz Ball? Absolutely not. I have no idea. A public high school teacher. What? Merri Lee Kick, a former public high school teacher, has become one of America's richest self-made women after selling her ready-to-drink cocktail business, BuzzBalls, for at least 500 million.

500 million? What started as a side hustle has now transformed into one of the biggest brands of the United States. Ready-to-drink cocktail industry. Kik founded BuzzBalls in 2009, inspired by a simple idea, while grading papers by her pool. I thought, I shouldn't have this glass container out here.

I should have a plastic pool safe type of cocktail. From this spark of inspiration, Buzzballs was born. Fun, high-proof cocktails served in colorful, plastic, spherical containers. Buzzballs quickly gained popularity is an asshole at supermarkets, liquor stores, and convenience stores. She says, I've been living the American dream. We've built a legacy. We've become a contender in a space where women never went.

Bruelly. That's really nice. Brand has grown intentionally distributing 29 countries with an estimated annual revenue of $500 million. Wow. This is an incredible story. Monster company. In April of 2024, the drinks firm, Sazirac. Acquired buzzballs in an all-cash deal.

No way. Though Kicks suggests a figure is much higher. No way. She's an absolute dog. It is also cemented to replace among America's richest self-made women with Forbes estimating her net worth 400 million after taxes. So yeah, of course. She's going to 10x that. Just get it in the market,

raise some mag 7. On her next idea. Run it up. Kicks journey is remarkable because she never raised money from investors. She bootstrapped her business. She used the small inheritance, maxed out her credit cards. Where is the founder's podcast episode about her? And took out a loan from a local community bank to get started.

I scraped and scrambled, she says. I took every bit of every penny I could find and poured it into the business. That's incredible. Amazing story. unique company started making a profit in the second year with one million in sales and 100k in profit. Not bad. By 2014, the brand was expanding quickly and the drinks were sold at major retailers by 2019. Annual sales were over 100 million. Get her on the David Center. Wow. I mean, she's elite. Akita Buzzball success was owning its supply chain.

She's integrated on day wide. Most like D to C founders in California, like can't figure out how to get off a copacor. She moved production of the patented plastic spheres and the spirits used in buzz balls in-house to ensure the brand's quality and reliability. Despite many investor offers over the years, Kik held onto her company until she found the right partner. I wanted somebody that was going to come in and have big guns. Big guns. She explained Saz Rock, which owns over 400 brands, brought the resource and expertise to scale buzz balls. Wow. The Kick and her family are still part of the business.

I didn't sell because I didn't like what I was doing or wanted to leave, she explains. I sold for the exponential growth and because it's selfish to hold it back. It really has legs. From a teacher grading paper by the pool to a multi-millionaire, Mary Lee Kicks' story shows the power of a good idea and the determination to make it happen.

That is an incredible story. You got to get her on the show. I love it. Let me tell you about console. Console builds AI agents that automate 70% of IT, HR, and finance support giving employees instant resolution for access requests and password resets.

And before we move on to our lightning round, let's debate Kylie Robeson's latest post. She says, do you think if the AI company's IPO this year will get insert frontier lab arenas like the crypto.com arena? What do you think? Should there be a Gemini arena, an anthropic arena, an open AI arena?

Should they do this? Is this good for their brand? they're already buying Super Bowl ads, so it doesn't seem out of the question. What do you think the probability is? Yeah, I feel like these type of advertising on an arena like that, you typically see this with like somewhat commodity, like products that are in large markets, but are, you know, in the case of like crypto.com, they're just, like, the products, crypto.com is very interchangeable with Coinbase, right?

It's a place you can go give them USD and you can buy Bitcoin or whatever digital assets you want. And so they're really just competing on like brand entirely. And like currently the way that you're seeing the market evolve, like I don't know that. Yeah, they're competing on technology. Like how does the model actually answer? What are the benchmarks that are competing on product? Like how does the app work? How are the mechanics?

What can you do? Can you generate images in there or not? Can you generate video? How good is the video? Does it do deep research quickly? Like, there's a million different things. How's the voice mode? Like, they're definitely playing like a product race right now.

Yeah. There is a marketing. Yeah, I guess the question is at the same time. Was there any of like the OG search companies? Did they ever get out? Oh. Did Yahoo ever have a... I don't know.

It's interesting. But I do know that it's interesting that she mentions the crypto.com arena here in Los Angeles, the former staple center, because crypto.com is not a public company. So there's nothing that says that you can't buy an arena before you go public. Who knows? Maybe we will have a Vanta Arena by the end of the day. Automate compliance and security. Vanta is the leading AI trust management platform. And I'd love to head to the Vanta Arena no matter where it lands. Anyway, we have our Lambda Lightning Round starting now with Base 10.

We have Turin, the co-founder and CEO of Base 10 in the Restream Waiting Room. Let's bring him in to the TBPN Ultrida. How are you doing? Hey, man. How are you doing? Good to see you. Welcome back. Welcome back. Thank you. Thanks for having me again. You've been busy. You've been busy. Give us the news. Yeah, look, we've had a crazy year. We're 10X of last year. 10X alert. Hit the gong for the 10X. Sorry to interrupt.

All right, back to you. Last time I was gone here, I've thrown you about our series D. We've raised on series D now. We've raised $300 million, $5 billion evaluation led by IVP and CapruG, with the participation from Nvidia and a few others. Look, it's just being, just to remind you guys what we do. AI infrastructure platform, we focus on production-grade inference serving the fastest-stroying companies in the world. So a bridge, open evidence, cursor, notion, clear gamma, writer. You look at that crop of companies and how they're growing, and, you know, we're playing a supporting role

and making sure that they can run their models as fast and reliable as possible. And just on the back of that, we've realized how big this could potentially be. Yeah. Go ahead. Take us through how quickly enterprises are ramping up running their own models. Like if we go back to 2022, Google had Palm internally. They hadn't really launched Gemini. OpenAI had GPT3 and then they launched JetGPT.

but Microsoft had, you know, they were vending GPT4 through, through Bing and stuff. But big companies were not really running their own large language models. Is that roughly correct? But now it feels like we're in the hundreds of companies. But out of the Fortune 500, like how many companies are actually running their own models at this point in time? Yeah. Look, I think it's still relatively small, but growing rapidly. I think, you know, if you go and look at, like, when we go and speak for enterprise customers,

it's still incredibly early. But I think what they are doing is that they're looking at, you know, these other companies that, you know, you know, you and I would probably agree that are the future Fortune 500 cutting in their lunch. And if they don't, like, figure out how to move at that pace, I can't just be left behind. And so, like, what we focus really, really heavily on, you know, those really fast-growing companies, because we think not only are they going to. to be the future Fortune 500, but the Fortune 500 are going to look at them as like,

how do we bring these models up to speed as quickly as possible? Yeah, and so, I mean, that makes perfect sense in the case of a company like Cursor, obviously, they have a ton of training data, they have a need for a custom model. Are we years away from someone like a Coca-Cola or, you know, developing their own? How does that play out? I think, look, there's two things that are happening, right? which is, like, if you go look at opening eye anthropic adoption at these companies, it is there. Yeah, it is definitely there.

Once you have proven out these use cases internally, then you start to think about better, faster, more specialized, more secure, running on-prems, all these sets of problems. And so, you know, that is coming? Like, is it like six months away? Is it 12 months away? Is it 18 months away? Yeah. Who knows? I think the other trend that is pushing the enterprises online is RL.

which is like how do you take these open source-based models and RL them and get them to be as good, if not better, than these frontier models for very specific tasks. And that's a big focus for us as well. We recently made the acquisition around that. But we do think that will be a big driver of enterprise of adoption. Okay. Walk me through the pushback from a large enterprise that says, yeah, it's great. I can train a custom model on my business.

But I looked at the smaller models for a variety of benchmarks. And it feels like the big models just sort of are better at the small models tasks as well. Like I should just use the latest and greatest big model for everything because the frontier is better at the specialized tasks as well. It just one shot things. Yeah, totally. Well, I think, I think policy a lot of the times they'll be valid then. Okay. Yeah, I don't disagree with you.

I think what you will see, though, is that as the frontier is getting better, open source is already. You know, if you go look at the open source models that are out there today, like the Geelands, the Qans and the deep seek, it's not like they are 18 months behind. Yeah. You know, someone argue that they're, you know, within a quarter and for certain tasks are better. The complexity actually comes around, honestly, from enterprises. Not so much, like, can I get a better outcome? Yeah. It's, hey, these largest lab companies have massive inference teams.

Sure. Do I have the skill set to be able to run the service at scale within my premise with all my enterprise requirements? Got it. That's ideally where we can help in and be that partner to them to bring them online. Okay, so walk me through what it looks like when a Fortune 500 company says, okay, we're getting off of just a generic model. We want to do something that we have control over the inference. We're working with Base 10. We're doing, you know, we're doing some custom RL.

There's going to be some proprietary data in there. Who's involved? Are they hiring you or consultant to set up the RL environment? Who's doing the training? No, no, no, no. Walk through all that. Yeah, I think just engineers and infrastructure engineers. I think that is like one of the realities right now.

I don't think engineers who don't know how to grapple with AI. I just, you know, they don't know if they exist in the future, to be honest. But that being said, like, for a lot of with engineers, It's like, hey, how can we make it as easy as possible for you to take this custom model, deploy it, scale it up, either, you know, in our cloud or within your own cloud. And so that is, you know, the job of the software. We have a really amazing forward-deploy team that is very happy, very happy to help if necessary. But our goal is also just, you know, to enable them to do these things. And that is happening.

I think it's early, though. From your view, do you think we need more neolabs? like based on the conversations that you have with customers. Yeah, yeah. Okay. No, look, more models are great. I think more people developing models are amazing. Look, I'm making a bet with my career with this company on the long tail of models

and that they're existing models outside of, you know, two amazing companies. And so I think more people developing models gives consumers and developers more choices down the line. And like, look, do we need more of the same? probably not, but like, you know, all these companies have their own takes on the problem. Help me understand your current thinking around model routers, routing inference across big, heavy-duty models that might be very expensive, like using all parts of the parade of frontier.

What are you seeing on the inside? Are companies trying to handle parceling out the workload? themselves, or do they want that to be something that's off the shelf that you sort of provide? What are some of the tradeoffs that people are considering these days? Yeah, look, I think it's a spectrum. I think, you know, the most advanced companies are 100% doing that. They're breaking up their tasks, almost like model by model, and then figuring out how to route.

I think less sophisticated folks or people earlier in their journey probably better. But it are relying on other people to do that. You know, the model companies are doing this themselves. I think the place where I struggle a bit is like, you know, some of these routing things are just, you know, routing for failover. Okay. Because, hey, model just stopped working. Sure, sure, sure.

Like, we believe that, like, reliability, like, should be table sakes for serving models. And, you know, ideally, you don't have to build across what happens when X model provider falls over, a Y model provider falls over and have that time. And that is a different routing problem. Yeah. Routing based on capability is happening. It is happening. Outside the model, it's happening inside the model.

And as the long-tailed model comes online for specific model tasks, I think there's more and more going to be the case that is being handled by an inference company or inference platform like base and as well. I mean, that certainly happened in the database market. Like you have a big Postgres installation. You don't have a MySQL installation there as like a backup, but you might have a Redis casting layer in front of it, right? Yeah.

So what is, help me understand. understand that at the hardware layer. I know you have some insight into NVIDIA's strategy here. I'm very interested in how you or other partners, other folks in inference might be thinking about the future of NVIDIA's big, powerful racks versus their more legacy chips that might be depreciating, but you can still run a great model on it versus some of the more exciting stuff that's happening with GROC in the future. Yeah, yeah. I don't have a ton of that you describe you, they're very good. I can hypothesize.

Look, they're amazing partners to us. I think we are chip agnostic and we think, look, every every task and every will have different requirements from a latency perspective, from a cost perspective, even what type of model

runs on it. And so yeah, so we use H-100, we use A-100, but we also use B-200 and G-B-200s. And as, as, you know, we get these new types of chips, or across the Bites, we will be working on them as well. So, like, if you think about the NVIDIA and Grof stuff, you know, what are they solving for?

It's like, you know, it's kind of breaking out pre-fill and decode. You're using GPUs for pre-fill. You know, there's a compute-bound problem. You can saturate the GPU. You can do batching and have really good throughput. But then you have the LPUs or like the GROC chips or the decode, which are memory-bound. You're not doing a lot of new math per token.

Why this is hard is that that's a pretty complex orchestration problem between handling workloads that are doing stuff on GPUs and on LPUs, and I think Nvidia's, you know, obviously built amazing software around this to break out refill and decode Dynamo is the name of the software. You know, we work pretty heavily with,

but like, I think that would just be a new type of chip that the ship providers provide. And, you know, I think one thing I don't think you can understate is how much, how much, how powerful Nvidia supply chain is Kuda is and their ability to be dynamic with architecture is changing. And I think, you know, we have very, very much bought into that ecosystem and what that enabled, especially

for inference and customers. Can you give us your take or any insight on how companies at the application layer are kind of wrestling with the late, like laziness specifically? Like everyone at this point is experienced, you know, a product like asking, you know, basically, you know, wanting a product to be able to do something that you know it can do and then, and then, you know, running into this like laziness element. What, what do you mean by laziness? I don't quite get that. I would say, like, you know, thinking about, let's pick the biggest, not to pick on anyone, but like the biggest consumer AI app, Chachabit, right? Like, everyone, is experience asking chat chbtee to do something that you know it can do and like sometimes it

will just kind of like circle around or like not really get to the thing that you want it to do even if you're paying for it on like the max plan or something like that and so and so i would like i would assume that every company at the application layer that gets to the point where they're caring about margins is like starting to get to the point where they're like okay like you don't always because sometimes the model can be lazy and you're like great like you got me you got me what I needed and I can just move on yeah yeah other times it's like wildly frustrating because it's like you know asking if like it's like asking an employee to do something at five o'clock and they're like oh like uh you know yeah isn't that like to me that's

like what defines a great application like a company right like the oh sure yeah the the ones that aren't good are just wrapping around you know gvety and you or whatever model and you know you as a user are left to figure like deal with that laziness. I think the best application layer companies, you know, it's like serving the right amount of intelligence for the task. And setting up the harness and how to use it for the problem that your user is asking you to solve for them or you were trying to solve. Like, you know, if open, if a company like open evidence was just, you know, doing something the lazy way, that would not only be really, really expensive, but they wouldn't do a really good job of solving that problem for their

users. And it wouldn't be a great business in a long term. But like, you know, what makes these companies so good at how they use the models, how do they use multiple models, and how they architect that to the thing the user is asking them, and then layering in how do we do this efficiently so we can make a business out of it? To me, there is going to be a great divide in solving that laziness problem. I think it's a good way to put it at. You said two things that I'm sort of having trouble reconciling. You said that you're chip agnostic, but then you also praised the dominance of the Kuda ecosystem.

Is it getting easier to implement LLMs in a way that run on multiple chipsets? We've obviously seen really strong performance from DeepMind on the TPU stack and Anthropics talking about TPU now. But for a long time, the narrative was like, oh, it's going to be really cumbersome to re-platform off of the Koot ecosystem. How are you thinking about just multi-chip architectures these days? Yeah, I mean, look, I think it is getting easier. but it is not easy.

Welcome to entrepreneurship. And like, you know, it's a, and like, look, you're sitting on top of like, you know, that's why like, like, Nvidia is such a great partner for us. It's like sitting on them doing this stuff. You know, we were, I mean, did you guys play people or anything like that when you're growing up of Madden? I was more of CounterStrike, Call of Duty.

But sure. But did you start? StarCraft. Yeah. It's pretty amazing that when we are doing stuff or GPU, they're downloading from this. A website looks exactly the same as the Nvidia driver. page from the early 2000.

That is also amazingness of it. It was like how much to that is and how powerful it is. And I think that is, you know, yes, it's getting easy. And like, like, a diversification is great everywhere downstream, but also like, Invinia is just amazing at what they do. And, and, and being able to run a model on AMD does not necessarily mean that it will inference at a lower total cost per token or vice versa. It might be a little higher on certain models, blah, blah.

And so, yeah, there's all these different tradeoffs, but that's why companies come to base 10, correct? Totally. And that's why the open source ecosystem is so important, right? That's why, you know, like, you know, you mentioned databases earlier. Like, I think similar to databases, at the, in the fullness of time, open source has the fastest run times. And so I think that, like, with InVIDIA, you will see that, which is like, you know, you know, it's going to be really good at running supplement and video chips. This is going to be in video. who's going to be really good of stuff running stuff on the AMD chips.

It's going to be AMD. And so working with these providers of chips, I think to get the best runtime from them is very important. And I think, like, this cross-compilation stuff, while important, you know, I'm a little skeptical, I'd say. It's just like, you know, like, it's fanciful for me to think that we would be better at running software on Nvidia's than Nvidia. Or better at the lowest level,

obviously, there's all the orchestration and software stuff that we are building that we think is very important. but we also very, very invested in those ecosystems. Well, I believe in you. I think you can do it. But, you know, I take your point, of course. Well, congratulations and on the progress. Thank you so much to take the time to hop on the stream. And have a great rest of you day.

I'm sure you'll be back on every day now. Hopefully not. Yeah. Thanks for having me and appreciate you guys. Yeah. We'll talk to you soon. Goodbye. Phantom Cash, fund your wallet without exchanges or middlemen,

and spend with the Phantom card. Up next, we have... Bryce. From Nominal. I believe Bryce is the brother of the previous guest from Nominal. Cameron McCord. Technology brothers. Not we.

No, not brother. Sorry. Co-founder. Got it. Well, you know, you build a business with someone for a while. People just assume your brothers. But anyway. Second spouse is what I like to say.

Yes, yes. Really. Exactly. Thank you so much for taking the time to come back. Where are you calling in from? Guys, hello from Daytona, Florida. No way. You are in the garage, you're in the pits at the Rolex 24.

So we are here. So we are here. So I'm a nominal company Cameron, Jason and I co-founded. We announced our partnership this week with Pratt Miller Motorsports. That's amazing. Congratulations. Thank you. Thank you.

Great timing. Oh, come on! Come on! That's fantastic. Yeah, if you don't know who Pratt Miller Motorsports is, you know, they are the heart and soul of the Corvette Racing Team in the MSA race series. So, you know, this is full on heavy metal sports car racing. This is American Dynamism right here. This is an...

Amen, I'm about 30 feet from a McLaren. You know, this entire garage is full of probably every... every famous sports car you know, but I don't know if you know, but the most dominant of them all for the last 30 years has been this yellow Corvette right here and that yellow Corvette. Incredible. Look at that. Wow. There we have a nominal thicker.

There we are. Incredible. So, how's good stuff? Have you caught any of qualifying yet or have you just been too locked in? Yeah, this is the epitome of forward deployed because we just sent a founder to make sure this went perfect. But it's been really fun. Yeah, I've been here for a couple days.

We are, so I think, like, last night, we were running our late-night practice sessions. So Daytona itself is a, like, brutal race to start the season. It's a 24-hour race. I'm not sure if you, like me, have now seen a Best Picture nominee, but in the F-1 movie, Brad Pitt's F-1 movie, the first seven or eight minutes is actually Sonny Hayes, Brad Pitt, racing here at the Rolex 24. And it's him racing the night shift. So, yeah. Amen.

But yeah, him racing the night shift. So, you know, last night's practice session, every team gets one night to go out and actually, like, see the race conditions at night. You know, different temperature profiles, totally different, you know, race profile. You have like, I found out, like, a turn five right here. You have headlights from the parking lot that you have to deal with. Oh, interesting. Yeah, it's been a wildly interesting journey. but, you know, on the, you know, on the nominal partnership side,

it's also been just really fun to see, like, you know, we've had a lot of wonderful meetings and things about strategy and race strategy and this and that, but, like, you know, we are watching it come alive here. So a lot of the practice and qualifying and everything else has come back to, you know, how do we help them use a lot of data to win? And the pressure's on, right? They're going for the fifth, fifth win this weekend. Is that right?

Impressive. Yes. We've been following a little bit. Mostly the Shopify team. We're really recruiting for Toby. And there was actually really funny. There's a lot of tech people out there. It's great.

There is, yeah. The tech community here is like small but strong. It is like the epitome of motorheads. Yeah. You know, it's people that late in life, you know, found thermodynamics in their life and are like, this is the coolest thing ever. This is way cooler than Kubernetes.

It's the best. It's the best. Yeah. And for us, we're, the timing is great. We were at the track with a friend of the show, Paul on Sunday, and we were just doing

like really quick laps. We'd go out for like five, you know, five, ten laps and then take a quick break and kind of like settle down. And we'd be spinning out on like the fifth on like the fifth. And like realizing like actually like when you're going, like these endurance races, it's... Also just like from an

engineering perspective, you know, you take the car out for a couple laps and you let it cool down. and check the tire pressure, like 24 hours is endurance, not just for the humans, but for the actual vehicle. So can you talk a little bit about what goes into bringing that level of performance to the vehicle, what your role is, who the key players are in your world? Who are you interfacing with? Yeah, oh my gosh. Okay, so, yeah, 24 hours is brutal. You are right. You know, the rest of the season, there is a 12-hour race in the season. I think that's in the spring, but, you know, the rest of the season is one, two, three, four, five, six hours, and you know, you rip the car as hard as possible.

So I think 24-hour race, the strategy you're bringing in is much more around, you know, of all the things you have to care about more than anything, the cars get beat to hell, but it's fuel. You know, it's like, this bad boy will burn a full tank of fuel about once an hour. And so a lot of the pitch strategy, a lot of like the totality of the race comes down to really like managing all 24 hours well. And so our role in this, you know, we come a lot. alongside this absolutely elite engineering team and help them, you know, make those, make those calls.

Sometimes it's the highest level, you know, do we need to switch drivers earlier? Do we need to do something else? I have a, let me leave another. Oh, okay, I got a fun one. Last night, one of the things we were looking at is I can't give away all the secrets, but I know everyone says they do this, but Pratt Miller like actually does this. It does it better than anyone else. But last night they were talking about, you know, managing fuel from a, like, consumption standpoint. So think, like, you know, we're watching how throttling is happening, much for other things. Think when this comes into play is the car is, you know, you're behind someone else.

And your goal ends up being, how can I get them to stay on the throttle as much as possible? Because if they burn more fuel than I burn, and we both go into the pits together, the long pole in the tent of a pit stop is refilling the tank. So they refill for. five seconds, we refill for one second, and we run right past them. Interesting. And that's the type of stuff. Like, that is not a, like, trivial thing to do. Like, that is complex math happening. That's tons of different telemetry, you know, like, nominal. And to be clear, like, Pratbiller has been building elite software here for 25 years. I was in, like, the third, the second grade when

they started building race software. You know, like, this is much more around, like, teams like this are amazing because they just are obsessed with winning. And so this whole partnership has really blossomed out of that openness. You know, like, we have plenty of wonderful, elite, amazing customers that have interesting things that they've built. And like, you know, there's a journey with getting them to like really adopt the way that we think engineers should work in nominal, where Pratt Miller's like, okay, cool, I have all of this like, it's an engineering, it's an engineering sport. It's an engineering sport. Like, I imagine a lot of those engineers could go in a second and walk down to El Sondow and be hired on the spot.

Amen. The amount of people that have left the Pratt Miller team to go to like the Anderals of the world, there's a lot. So this is like, please stop. Please stop poaching. But zoom out for me and try and make a little bit clearer the involvement of nominal in this, how the product's being used, where the end points are. are you working on manufacturing new parts for the car, managing supply chain, testing,

like what else goes in and then maybe contextualize it with the work that you do with other defense contractors and other businesses? Yeah, totally. So think like Pratt Miller selected us and brought us into things, like, how can we transform engineers and all of their partners? So they don't just build these two cars, but they also build three more Corvettes in the field for other teams. You know, how can they come in and like rethink?

fundamentally testing, telemetry decision-making across race operations. So these are producing terabytes and terabytes of data this weekend. You know, we have to do a whole lot with that during the weekend to make really good calls. And way more importantly, we need to like catalog and index and manage like all of this volume of data. And then like, you know, what we do for the team is like it's not just about these 10 races a season. Like you win when you have the same system integrated into your driver's zone. Pratt Miller's also been way far ahead in the way. way that they think about driver sims in the

sports car racing league. So all of the data from the driver sim is making it back into nominal. You know, we're helping them do like actually like rethink the like procedural operations of that and automating a lot of pieces of that. And this is like almost verbatim, you know, how companies

in aerospace and defense, how companies in energy, you know, how our customers go get this work done across the board. It's just they have like win or lose on the line. So they just they rip it out of our hands. What about the other simulations that go on during a race series. I'm thinking back to the F1 movie. Most people are familiar with the scene where the F1 car is in the wind tunnel. Everyone can visualize the wind of

the smoke flowing over a vehicle. Is that the type of data that someone could pull into nominal and then analyze? Or are you acting more as just like a data layer and then there's another visualization software that would pull for that specific task? I imagine that there's a lot of point solutions still in place. But how do you fit into that? Totally. Okay, I'll tell you about the old world and we'll go to the new world. Sure. They have a team here that manages like all of the Corvettes on the field. So not the Prattmiller race team. It's like the forvettes racing team.

You know, I last night was sitting with them and watching them click through somewhere between six to eight different pieces of software to like root cause a problem. A little bit of analysis here, a little bit of data management here. Go find the thing over here. Like nominal has been built on the principle of like clarity really, really fast comes with an in-the-in stack. It is how you manage the data. It is how you monitor the data, and it's how you analyze the data. So, you know, these engineers happen to nominal, and they're doing everything from figuring out, you know, yes, wind tunnels and other things are important. That's, you know, it's ultimately like small, small, small parts of the team thinking about something like aerodynamics.

You know, like way more of the team is thinking about, you know, how are these settings affecting, you know, this particular force? So it's pressures, temperatures, voltages, vibration, video data, log data. you know, all the different, where people use in it is multimodal, you know, like all the different types of angles that you need as an engineer to make a judgment call. But at the end of the day, it's like, you know, we want to help them make really good judgment calls and then have a really good record of why. And if they can do that really fast, like we've kind of succeeded in the partnership. You mentioned like terabytes of data coming off the car.

What's the telemetry like? Like, how is that actually, is it like over there? Are they connected to Wi-Fi? Like, how do you get the data off the car? while it's on the track. Oh, man. That is a fun, complex thing. Okay, so, you know, every race league actually just has a lot of regulation here.

So, like, NASCAR, you can't pull any data off the track. F1 has, like, a mesh network for the car just ripping streams all day long. Yeah. Huge, really high data rates, like, and all the things. Sports car racing is actually, like, a really interesting middle ground here, where they do have telemetry coming off the car that, you know, engineers are sitting in double-decker, you know, fold-out pit stations. Yeah, with everything around them. It's like there's like

they're monitoring the situation. The situation monitors. We love it. It's the epitome. Yeah. And yeah, so they'll have data come off the car. But then the really interesting part is like it can't be that high rate of data. They are only allowed to bring very specific sources. Yeah. And then every time it comes in for a pit stop, they'll do things like they put an umbilical into the car and that is like actually how they have a secure communications line with the driver. The rest of the race, everyone can listen to everyone else. Oh, no way. But if you want to, if you want to give your driver a little edge, you plug in, wire headphones. Amen. And then if you

want to get the high, the high volume data off, there's a technician that goes in and like, you know, pulls out a data stick and puts in a new data stick. And all that starts go getting processed in nominal and another tool. So that's the, that's the fun. That's amazing. Well, good luck to everyone. Thank you so much for taking some time out of a busy day to come chat with us. Yeah, so many more questions. This was awesome moment. Well, that's great. My only ask is, please, please, I need you to, if you don't have a team in MSA,

I need you to pledge allegiance to the Yellow Corvette. I'm down. That's all I think. I'm running for the weekend, Rolex 24. We'll watch it. I love an American manufacturer. He loves, he's got his eye on the ZR1 X already. It's a good car.

Anyway. Great stuff. Great hanging, Bryce. Thank you so, my all. Have a good. of your day. Finn.AI, the number one AI agent for customer service. If you want AI to handle your customer support, go to fin.

com. And up next, goes you in the chat. Forward deployed CEOs. That's the new meta. I like it. Our Lambda Lightning Round continues with Max Sparrow. What do we call them a slop janitor, Pangram Labs? Yeah, Slop Janitor, Pangram Labs.

Max, how are you doing? Thank you so much for taking the time to hop on the show. How you doing? I'm great. I'm great. Yeah, just cleaning up slop on X. It seems like it. When did this project start?

I feel like I've been started. I've seen most of the viral stuff in the last few weeks, but have you been building this company for a while? Give us a little bit of the prehistory. Yeah, so the company's been around for about two years. We've been building models to detect AI generated content. Sure. And just building, doing a lot of the research and trying to be the most accurate in the market.

Sure. But it wasn't until like end of 2025, December 29th, actually, was the first day where I launched the Twitter bot, and it's really just blown up since then. People are using it on articles, on basically all these long-form posts that people are just posting slop online. So are you already monetizing it? Because I imagine you have a ton of attention, a ton of people that wind up on the tool. I interact with it mostly through, I see the screenshots that people post or I see your post.

But are there businesses who have an incentive to partner with you? Are you talking to big platforms, small companies? Like, have you started like what does the business look like today? Yeah, yeah. So individuals can either sign up for a free account on Pangram. They can get a Chrome extension and check things in the browser. Or you can pay $20 a month to get access to a lot more checks. Yeah.

But we also work with internet platforms. So one of our biggest customers is CORA. Oh, yeah. So they send most of their content through Pangram just to understand, like, is it AI generated? or not because that's against their policy and they want to keep the platform high quality. And so, yeah, we've had a number of API users, a bunch of different internet platforms, large and small. Are you worried about people basically, like, either like officially RLing on you or like

basically DIY reinforcement learning by just generate me an essay, go into Pangram. It's at 100%. Make some changes and remove the m-dashes. Okay, went down to 70%, rewrite a couple sentences and just keep. iterating until I get it down to zero percent. People are trying. I think that's part of the fun is like that this is such an adversarial space. And so like part of keeping up with it is just making sure, yeah, we're robust to these GRPO attacks and this like RL on the model. Yeah. Does it make you mad when people are sharing an article on X and it's obviously written by

AI, but they're just like, this is the best, this is the most well written essay I've ever. I've ever read on this topic. Change my life. This changed my life. Infuriating. And the person probably spent like 15 seconds just typing in chat GPT. Make it really deep. Make it really good.

Yeah. Oh, no. The worst one that I read was this like the one that went viral about the like supposed Uber Eats or DoorDash whistleblower. That's right. Like they wrote on Reddit their entire post was AI generated. They're talking about how like, you know, the company's so evil. And I think it went viral.

just because people wanted to believe that it's true, even though it was like obvious slop. Wait, were you able to clock that as AI just personally or with pangrum? Because when I read it, it didn't jump out to me as AI generated, but there were other flags that just seemed like factually inaccurate or just inconsistencies and like logically. To me, it immediately read like fan fiction. It was like, I'm in a public library.

Yeah, yeah. Burner laptop. It's like, who does that? Like, you can just post on Reddit anonymously. Like, Reddit is not going to come and, like, arrest you. I don't know. Anyway, yeah, how did you clock it? Personally, with the tool, both.

What were you thinking? Yeah, yeah. I was reading it. I'm like, this reads like a story and not like real life somebody writing this. And then I checked it with Pangram, said 100% AI. I went to the comments. And there were already other people were saying that, you know, this is obviously AI. Okay.

Yeah. And then, yeah, talk. about the impact, like, are you, is this an AI safety project? Do you think that there's, there's like a societal, you know, disaster that comes from AI slop? Is it something we'll adjust to? Is there a white pill good outcome here? How do you, like, process the, the, the, like, philosophical part of your work? Yeah, so, I mean, I think a lot of the big labs are already doing a great job on the internal AI safety side, which is making sure Claude doesn't go out and, like, autonomously decide to,

kill everybody. But I think there's this like application layer that like external AI safety of like, can people use AI for harm? And I think this is a great harm that people just like aren't really like thinking or even trying to tackle. I think like this threatens the internet as we know it today. If you're aware of like dead internet theory of just the idea that the internet is just going to become bots talking to bots and it's like a ghost town where people can't participate anymore because their voices are drowned out by bots. And I think we're very much at risk of this if we don't have any technology to solve it. What do you think about the inverse? I posted that you could probably drive someone insane by just quote tweeting everything that they say with the

100% AI pangram screenshot. So I write a daily newsletter and I write about 500 words and I always, I never use AI to write it or even proofread it. There's typos in there. But people will still accuse me of using AI. And so we're like, maybe we need to live stream me typing it or something. And I don't know. It just doesn't matter. But it is sort of infuriating when you take half an hour, you write out some thoughts. And then someone's like, oh, this is AI or share the prompt.

Even if they're joking, it's like kind of gets under your skin. What do you think about that? No, it's annoying. And I mean, I think that's another reason why, like, we're building this technology. Sure. There are other AI detectors out there that have 1% or 5% false positive rate. Sure. And so they'll, like, incorrectly flag a lot of things, even like the Declaration of Independence.

And so we, so Pangram has a 1 in 10,000 false positive rate. Wow. So the goal is we are almost never flagging something incorrectly. If we say it's human, like, we know it's human. Yeah. Are you working with any of the big dating apps yet? I can imagine that this is something they'd want in kind of like actual, like on the user side as you're uploading, because they want to not have AI generated content because I would create a,

bad experience for users broadly. I cannot say. I've heard some, like, about some issues from people who work in dating apps. Sure. And I think the issue is growing. I heard an interesting story from a former dating app engineer who said that they had bot problems 10 years ago. People would just go and write a Python script to just swipe on everyone and just send

like basic messages. And he said that when they detected bot activity, if they ban them, the botter would just create another account. So what they did was they put them in like bot hell, basically, where they would only talk to other bots, which is a funny solution because then their system says, hey, I'm still on the app, it's still working. I'm still seeing all the API requests, everything's working.

But they're just only interacting with their bots. But you can imagine getting false positive in that and just it being the worst experience. You're like, I didn't meet anyone. Everyone out of this app's a bot. So there's a whole bunch of funny new things. I do want to ask about image generation, image detection, that somewhat relates to...

Yeah, yeah. So, yeah, what I was trying to get at is, like, where... I assume over time, like, most written content will have been run through some type of model before it's published, almost like a spell check, even. So I'm trying to think about, like, where do you really not want AI content, right? Like, I don't care if somebody uses a Gen AI to make, like, a headshot, right? Because, like, if they just want a headshot that looks somewhat like them,

Yeah. It's not big, they might go into Photoshop anyway and add some color correction and increase the contrast. Yeah, it's just, it's just pimple or something. Not that big of a deal. But where I do think is like the probably the most pressing issue right now,

it's just like anything news related. So if you're, if you're sharing things that are like news or or any content that people are using to understand the world, like I could imagine, like are we moving to a world where you'll have to add like a pangramm watermark to the post? Like, is that the kind of behavior that we want? Because, like, if you just, if, if an AI generated image goes up, two million people see it. And then six hours later, it gets community noted and says, like, okay, this is, this was, uh, generated by AI.

It's too late. Like two million people, like, you know, may have thought it was real. That's a huge problem. And actually, like, this is happening today. So, uh, if you know, like, all the, like, the Russian troll farms or they're, like, posting comments and, like, news articles. They've basically, Russia has expanded this to basically just use LLMs that they fine-tuned themselves. And they've, we've seen news websites come out of Russia that just have 50,000 articles that are completely AI generated. Most of them are like normal news. And then some of

them are really pushing the like pro-Russia anti-Ukraine stance. And they're just posing as like random like Oregon local news. And yeah. And the, And these are crazy. And they're popping up faster than we can take them. Yeah. We can identify. Did the White House, the White House shared an AI generated image?

AI modified image. AI modified, but got community noted on X, got quote tweeted. But yeah, I mean, it's an increasing, increasing issue.

What is the state of potential bots on other platforms? It's great that you've got the bot working on X, but it seems like we really need it on Facebook. If there's a couch the size of a room that is in the shape of a gorilla, there should be pangram in the comment saying this is AI generated. So the elderly generation perhaps is protected from slop. So next up for us is Reddit and LinkedIn. Okay. So I think Reddit, there's a bunch of viral posts that are AI generated.

I think people know that they can karma farm an account and then sell it to a bot farm or something. And on LinkedIn, I think it's just funny because, like, people are, like, genuinely posting slop. Like, they're not bots. They're just, like, posting AI slop every day. Yeah. What is the state of wiring up a bot on a modern social network these days? I feel like a lot of the APIs have closed down a fair amount. Is it something where you need to have a relationship with the business to actually run a, you know, a useful bot that I would say,

As a user, I want this. It's not malicious activity, but you're still getting API access. You could slop yourself if you wanted to. You have the access. So what's involved in actually spinning up a bot and keeping it online and keeping it posting regularly without hitting rate limits? So for Twitter is actually pretty easy. I mean, besides having to pay $200 a month.

And then if we pass some limit, well, now they have usage-based API. But otherwise, before this, the next tier up was $5,000 a month. which is absurd. But I spoke with some of the X people. It's still doable for a startup that has funding if you're growing. It's not completely prohibitively. But you can't do that as a hobbyist. Sure.

But yeah, it was not too bad with X. And then the other platforms seem to be a lot more locked down. So LinkedIn, I've been waiting for API approval for two weeks now. And Reddit kind of same thing. But I mean, Reddit seems to be pretty bot friendly. So I think we'll get there eventually. Yeah. I've never seen a reply bot on LinkedIn, but have you been surprised by conversations with any of the platforms?

Because in some ways, they just want more content that's engaging. And so there's kind of like this dilemma where they might say like, yeah, we're looking to crack down on fake imagery. But in reality, they're like, okay, this is driving engagement. This is not like, you know, it's it's like, even with X, people have always said like, do they really want to crack down on bots or like do they just say they want to crack down on bots? Or like, do they just say they want to crack down? down on bots because in some ways, like, it's just driving notifications for people that might not otherwise be having a lot of activity. One man's slop is another man's fillet me on. The LinkedIn, trust and safety folks, seemed so resigned. It seems like they're having such a bad time because in every single text box, there's a little, like, write with AI button. So, like, in, I want to compose a post.

I write 20 words and then have it expand it out into, like, a long essay. Or same with, like, in-mails. they'll AI generate in-mails that are customized for the person's profile. And so, like, they can't actually do anything around, like, AI slop or using AI as a signal because it's so integrated into the platform at this point. And I think to the detriment of the platform, like, the quality of content there is so low now. How many words? How many words of text do you actually need to detect if something's AI? Yeah, I've seen some people tag Pangram with, like, someone will post, like, one sentence.

It's just like, I don't know if it's a hallucination or something, but it's a funny, funny meme. So our official line is 75 words, but I made it smaller for Twitter because obviously there's so many short posts. And typically what is going to happen is just going to say it's human. Like unless it's like really obviously AI or like as an AI language model, comma. Sure, sure, sure. Yeah. It almost doesn't really matter because like I really want to know if something's AI if it's really long.

Yeah, yeah, totally, I only want to read this for the most part if I know that somebody put it in a lot of effort to, like, you know, actually say something. And there is the flip side, which is like, if someone does a really cool deep research report in one of the LLMs and they just shared a link to it, and they're just like, hey, I was interested in this particular research report, I generated it. You can just click here and read exactly what I, what the prompt result was. I might be down because I like reading deep research reports sometimes if I prompt them and I might be interested in what you prompted. The funniest short Pangram request is always someone will say,

you know, is this article AI? And then Pangram will come back and say, yeah, it's 100% AI. And then someone will say, is that is, is the request to call Pangram AI? And Pangram will say, no, it's not. No. But anyway, so what's next, what's next with the business? What's the state of the company? How large is the company? Where do you see this all going? So far, we're, I mean, we're pretty small. We're still seed stage nine people. But since July, we've grown 25X in terms of users and number of queries. There we go. Nothing like 20. We've seen a lot of interest basically in this consumer level interest, just like, I want to know what slop or not. I'm not. I'm not. I'm not.

like a teacher. I'm not a writer. I just want to know that what I'm reading is authentic. And so what's next for us? My opinion, look forward to a Chrome extension that's like ad block, but for slop. Oh, I like that. Automatically slop, block everything that's slop on your, on on the internet. Do you own slop or not.com? I do not. You should. It's not for sale. It's not for sale. Somebody else, somebody else beat you to it. But. Uh, well, yeah. Well, congratulations on the progress. virality. I love seeing it and thanks for all the hard work. It's really, really doing good for the world. For sure. In the slop era.

Thanks so much. Have good rest of your day. We'll talk to you soon. Bye. Let me tell you about Plaid. Plaid powers the apps you use to spend, save, borrow, and invest, securely connecting bank accounts to move money, fight fraud, and improve lending now with AI. Next up. Next up.

Actually, our next pause. We'll be in the re-stream waiting room. Still waiting on Russ from Live Kit. In the meantime, we have some massive news. Johnny Carson's former L.A. estate just listed for $40 million. Whoa. A little teaser of the mansion section, we will be getting to it later in the show. But the Los Angeles estate that late-night TV legend, Johnny Carson, once called home,

has hit the market for a dash under 40 mil. All proceeds from the sale have been earmarked for three charities, Cedar Sinai's Medical Center, the David Geffen Foundation and Share, which supports disabled, abused, and neglected children. Compass is sharing a listing. He's a longtime host of The Tonight Show, and he died in 2005 at age 79, an absolutely legendary talk show host.

Big inspiration for me. If you haven't listened to the Johnny Carson episode of Founders, you absolutely should. It's fantastic. Also, we previously reviewed his other house, the Malibu compound that recently, hit the market for $110 million. Still sitting on the market.

So originally built in 1950 for Mervyn LaRoy, the late film producer and director, best known for his work on The Wizard of Oz. Have you seen The Wizard of Oz? Yes. Wow. But I think I was like forced to watch that in school at some point. Yeah, the Yellow Brook Road, Dorothy.

It's Toto. It's good. The estate rests, this particular estate, rests on 1.5 acres in the prime Eastgate Enclay. a gated driveway bolstered by a security booth empties at an expansive motor court with two garages with room for four vehicles, with sprawling stucco and stone-accented structure at its center offering six bedrooms and 11 bathrooms. It's 9,000 square feet across single level. It's introduced via a marble-clad foyer with access to an elegant wet bar-equipped living room that wraps around to a cozy wood-paneled den. I like that wood-panel den. I like the sound of that. You love a wood-panel den.

wood paneling generally. Ideally, mahogany, the official wood of business. We need a mahogany sponsor. It's truly huge missed opportunity. From there, mahogany's strongest soldiers. We love mahogany. From there, a spacious living room sports, a fireplace, and pocketing doors spilling out to a pillared loggia, loggia, I'm not familiar with that word, while a formal dining room connects to a kitchen with an Eden Island and a breakfast nook, a soaring rotunda, flows to a posh primary estate, which has a fireside sitting area and dual walk-in closets and baths. It has a tennis court.

Of course. A basement with a wine cellar, detached two-story guest house that once housed Carson's office. The amenities continue outdoors, the manicured grounds, host a sun deck encased pool and spa flanked by an open-air cabana with a fireplace as well as a lighted tennis court and a viewing pavilion holding a kitchenette and powder room. So you can view the tennis that's played. Per of the Wall Street Journal Carson had to convince Joanna to relocate from the east coast to the west coast. She was truly a New Yorker at her core, so it was hard to move her out to California.

The nephew said, who's the trustee of the state. How about one and a half acres in Bel Air? Will that do it? Not a bad, not a bad option. Well, there are some other stories in the mansion section, which we should go through. First, let me tell you about railway. Railway simplifies software deployment, web apps, servers, and data. is running one place with scaling, monitoring, and security built in.

I loved hanging with Jake yesterday. He is potentially a Joe Rogan Sea. Yeah, fantastic, conversationalists, fantastic. The way he breaks things down, tells stories. I really enjoy that conversation. He'll be back. He's on a generational run. And congratulations to him again on the good news.

So the Call of Duty creator, Dave Anthony, has a custom Bel Air Mansion. It just sold for $22 million. And we will tell you more about this. property after our next guest joins because we have Russ from LiveKit in the TVP and Ultradem. Welcome to the show. How are you doing, Russ? Yeah, Jordan. How are you doing? Good to see you. Great to be back. Yeah, thanks so much. First kick us off. Give us the news. What happened? Dude, the news. Live Kit is a unicorn. Whoa. Whoa. Whoa.

A $100 million series, it's a $1 billion valuation led by index ventures, Salesforce altimeter's in, red points in, and you're now a billion dollar company. How does it feel? It feels amazing. Is the job finished? Is the job finished? Yeah, yeah, true overnight success. True overnight success.

No, definitely not. It's a day's zero, but yeah, it took 20 years. It's pretty incredible. What were the key growth unlocks, the key KPIs? What was the first slide in the deck that got the deal done? Is there a break in the graph, or has it just been continual growth and you're ready to take the next step? Yeah, I think it's really been kind of, I think voice AI has really just started to grow and explode. And, you know, I kind of, I sometimes refer to us as the accidental AI company because we never meant to be an AI company.

We were video conferencing, live streaming infrastructure. And then we started to work with OpenAI on chat GPT, voice. mode and everything changed at that moment. What do you see as a key user experience UI features to a great voice mode experience? I deliberately daily drive all of the major LLM platforms now and I'm starting to notice little subtleties about does this one have the ability to go back 15 seconds, forward 15 seconds, make it like a podcast player, more familiar UI, what do you think is the most important for a potential customer to, if they're implementing a voice experience, how much should they make it feel like

a podcast versus, you know, an avatar that they're interfacing with? What's your feeling on that? I think it depends on the use case. So I think if you were to separate it into two broad buckets, I think that there's like the personal assistance, right, that you kind of talk to as a friend or a companion. For those kinds of use cases, I think, feeling very human-like. So latency, I think, is an important factor across both like B2B use cases and B2C use cases. But I think especially true in the B2C use cases, you're, you kind of expect that an assistant you talk to is going to feel like talking to a human being and have a like a level of empathy that is not always necessary in a B2B use case. So for a B2B use case, I'll give you an example, like if you're trying

to do patient intake at a hospital using an AI. Call it on the phone, really the job to be done there is to get on my doctor's calendar, right? Do you need it to sound like a human or to respond with the absolute lowest latency possible? No, you need it to be reliable. So you need to make sure that it's going to actually, you know, qualify the user calling in, make sure they have insurance, figure out what's their, you know, affliction and then get them onto the doctor's calendar,

you know, 99.999% of the time or 100% of the time. And so the reliability of the voice agent is most important for the B2B use cases. And then maybe like the empathy and realism is more critical for kind of these B2C use cases. What are your predictions or keys to success with the new Siri? There's been a bunch of news about Apple did a deal with Google. They got the best model. They got a great model powering it. But there's a lot of work that they need to do on the actual voice experience side.

What would your best practices be for Siri V2? Siri V2, I think like the two most important things. I think the realism aspect is going to be there. I mean, if they're using a model from Google like Gemini Live, their kind of voice-to-voice models quite good. It feels quite realistic. Maybe one area where it could use a bit more, it could use a bit more empathy in some places, I think,

and they just acquired a company called Hume in the space, which has a pretty strong. Yeah, that's right. Yeah, yeah, yeah, the licensing deal. So that model has a lot of, like, emotion and does, like, sentiment analysis in real time. And so I think that'll be an important unlock for Apple as they're using the Google model for this new Siri.

I think the other thing is just having access to the right knowledge and reliability. The thing that just kills you with the original version of Siri is it's not reliable. It can't do half the things. Sometimes it does like a web search when you actually just want an answer. So I think the reliability of it and making sure it has access to the right tools and can invoke those tools at the right time. I think that's going to be another critical thing. But, you know, Apple's pretty incredible when they focus and try to nail an experience.

So I think they'll get it done. One interesting thing about Siri is there is a woman who voiced Siri. There's like a singular voice. And I think everyone, no matter how much they use Siri, if they hear the voice, they're familiar with that identity. How do you think about companies that offer either one singular. voice and they just build a brand around it and that is really an embodiment of this particular AI system. They give it a name and a personality and it has one voice versus giving the consumer the option to have multiple voices or even steer the voice over time with like real time

sentiment analysis. Yeah, I think it depends again on the use case. So I think I'm glad you brought this up. So for Apple, for like Siri 2.0, right, we're talking about, we're talking about a digital assistant or a voice assistant that is running at like the scale of the entire world, right? Like Apple devices are everywhere. And so when you think about delivering a great experience at scale like that or at that level of scale, you have to think about kind of how do you meet the user where they are. So to speak on voices in particular, it can't just be one voice. I mean, like it has to speak different language as well, right? That's one thing. It culturally like, you know, you have to think about accents and like some of the paralinguistic cues, you know, if I say, um,

or the way that I, the way that I speak also varies, or the way someone speaks varies across cultures as well, varies across languages, there's different customs. And so if you're trying to build a voice assistant that can meet the needs or feel like the right experience at the scale of the entire world, you have to go really deep on kind of all of these different aspects, conversational dynamics, what are the right voices, do they have the right. accents, do they speak the right languages reliably? All of that stuff matters. And so that's something that at Apple scale and scope, they have to solve that for something that's a bit more contained. Like at a hospital in a particular part of the U.S., you may not have the same kind

of constraints or requirements. What's your opportunity in robotics? It's the next big wave. I think that like robotics has kind of this 80% overlap with voice AI in that you can think of like a humanoid robot, which are a lot of the robots that are getting built now by companies, you're not going to interact with that robot with a keyboard. You're going to talk to it, and it's going to have this additional capability

where it's going to have eyes and be able to see you and move in response to what you. you do and your actions. And so you're going to talk to that thing and that's the overlap. But then there's a lot of other new stuff that you have to do in the robotics use case because it has vision and because it has limited connectivity. So that robot may be out there in the field. It may not always be able to connect to the network. You may need to be able to do things kind of locally or on a local network if connectivity is compromised. So there's like a lot of opportunity to build in the robotic space. It's still a bit earlier than I would say voice AI is now

in terms of like how it's scaling up and being adopted. But it's a wave behind voice AI that I think is going to be even bigger than voice AI. Are you tracking benchmarks around latency? I'm interested to know what you think about the progress to reduce latency in voice interfaces and particularly what the bottlenecks are. Do we need to just distill models down further? Do we need to just distill models down further. Do we need custom silicon? Are there going to be dedicated chips, ASICs for inferencing voice models? Because I'm not sure if you've seen those Instagram reels where people are doing like the human impression of chat GPT voice mode. And they sort of like pause. And it's funny. I thought you're going to talk about the guy who's like, I'm lying in front of the train tracks.

Oh, no, no, no, no. You've probably seen these. You're seeing your product in action. Honestly, it's a great ad for voice mode. But it feels very much like we're almost in like the dial-up internet era of these voice interfaces where there's this like little delay and that's clearly going away. But I'm interested to know like technically what what needs to happen to remove the delay from voice interfaces. Yeah. So the way to think about it is that there's kind of a bunch of different components to this end-to-end experience of like I speak. Yeah. Model thinks, model speaks back, right?

And along that kind of path, you have the network latency. I'm speaking only to the primary components. There's a bunch of little things too in the middle as well, but there's network latency, so getting the voice for me to the machine, wherever it's located. Then there's like the process of understanding, when am I done speaking? That's called turn detection.

Like, when have I done, am I done sharing my thoughts? And then the model can now speak back to me or think in the, and speak back to me. So they're the step of figuring out when is the user done speaking. That introduces some latency. Then there's the actual inference part of it. And it depends on whether you're using a full voice-to-voice model, so a model that takes in voice directly and spits out voice, or whether you're doing a cascade approach where it's the first model converts it into text. The next model is the LLM. And then the next model is taking the tokens coming out of the LLM and turning it back into speech. If it's the

kind of the cascaded approach, then you have like three different spots where additional latency can come in, right? Like there's three models here. They all have to run, and then they have to pass information between each of those models. So there's another latency or place where latency creeps in. And then when the model finally spits out voice, whether that's from a TTS model or from the voice-to-voice LLM itself, then you have latency of the network where the AI's voice travels over the network and then is played out on my on my phone. And so it turns out you can actually like shrink the latency in each of these different components. Where are you going to get the biggest bang for the buck? I would say there's two places

where you get the biggest bang for the buck. The first one, three places. The first one is that kind of three models or one model. So is it voice going straight into the model and then being processed and then spit out or are you actually doing this kind of like handoff between three different models, that's the first spot where you're going to get a big reduction in latency. The second place where you'll get a big reduction in latency is on the turn detection piece. So figuring out, like, when is the user done speaking and having the delay be as short as possible between, okay, the user's done speaking, let me pipe the data straight into the model, or maybe I'm already streaming it into the model, and then it's deciding when the user's done speaking

and has its response ready to go. And then the third place is on QR, So like you have many, many people that are trying to hit these models at once. They're all using voice mode or et cetera at the same time. How do you figure out how to load balance that workload, that demand that users have, that speech data that the users are sending to the model? How do you figure out how to make sure that there's a model already waiting and consuming that speech versus making a queue up and wait? And then this person goes and gets a response and this person goes.

So doing the load balancing across those GPU workloads is another. And then as you mentioned, I think, like, you can get a speed up on the model side from hosting it on better hardware or, you know, chips that are dedicated to a particular type of architecture. Yeah. Yeah, that makes sense. Yeah. That's exciting. Are you focused, like, you're raising a lot of money right now. Is this focused on OPEX, CAPEX?

Are you going to build your own data centers? Have you confronted, like, the build versus buy debate internally? Yeah, I think for data centers, I mean, we have really healthy margins now, so there's no pressure to go and, you know, build our own metal yet. But we'll get there over time. You know, that's something that we've always talked about eventually, kind of fully vertically integrating the stack. But, you know, I think that the capital for us is going to be used in two primary ways. I think the first one is that we started our life as like network infrastructure. But it turned, and that used to be the product that we used to be the product that we used to.

sold even for voice AI companies, but it turns out that like when we had, when we were selling voice network infrastructure, someone would say, well, how do I, uh, how do I like test this model? You know, I built it with your software and now I'm running it on your network, like, but how do I test it? We're like, well, go over here. Uh, use this vendor and figure it out. Like, glue, glue this stuff together. And then they were like, well, you know, use this vendor. And then they're like, well, how do I observe it? And like, you know, all the data generated, like, which I use data dog, what do I do here? And we're like, well, you can kind of piece it together this way.

And we kept hearing this over and over and over. And then we said, okay, well, we're just going to start building out all the pieces. Because right now, building a web application is very familiar, very easy. And you usually have one single platform that allows you to build out the entire thing, right? Like NextJS has kind of become this default. NextJS and Bursale have become like the default platform for building out a web application. But a voice AI application, a robotics application. a robotics application,

these things are actually very different from a web application. It's a completely different architecture. At the top of the iceberg, it looks like, oh, well, instead of typing and clicking a mouse, now I'm talking, and the AI can see me. But just that kind of change at the input layer underneath changes everything about the underlying architecture of how that application is built,

and all the infrastructure you need to get that thing built. And so what we're doing is we're really building every single piece of that across the entire development life cycle so that you can start with LiveKit from Zero, just a dream, scale to the moon in production in reality with LiveKit. And you don't really need to go anywhere else. You can do everything within the platform. And so the first part is just building out this product, right? The surface area of it is much wider than where we started. So that's the first thing for the capital. And then the second thing is really investing in Devrel and some go-to-market around education,

like helping developers understand how can they leverage this platform to accelerate what they're trying to build. It's like lots of sample apps and workshops and things like that, events to make sure that people know that there's this tool that's kind of magical and can accelerate their roadmap and their kind of progress towards the vision of what they're trying to do. do. Yeah, makes sense. Well, congratulations again. Thank you so much for taking the time to come chat with us. And I'll get a whole team. Yeah, have a great weekend. We'll talk to you soon.

You too. You too. Appreciate it. Go bye. Let me tell you about Figma. Figma make isn't your average vibe coding tool. It lives in Figma, so outputs look good, feel real, and stay connected to how teams build, create code-backed prototypes and apps fast. Back to the Rob Report. Call of Duty creator Dave Anthony's custom Bel Air Mansion just sold for $22 million. It was down in price. They first listed it 18 months ago for $27 million and subsequently it underwent a number of price drops. He was the pioneering video game writer, director, and producer. He offloaded the residence in the posh Bel Air neighborhood of Los Angeles. He acquired 15 years ago in 2010. He paid $3.5 million for it, did some renovations. Now he has sold it for $22 million.

The sprawling brick and limestone home sold to an unidentified buyer, repped by F. Ron Smith and David Berg of Compass for $22 million, which is a lot less than the creator of the Blockbuster, Call of Duty Black Ops franchise originally wanted. However, it's still a whopping $18.5 million more than he and his wife paid for an existing 1940s house on the Hillside property before raising it and embarking upon a custom rebuild in 2018. So they bought it in...

When did they buy it? They bought it 15 years ago, and then 18 years go by. Then they do the custom rebuild. Wow. Completed in 2022. Fantastic. You're a fan. It's set on a gated and hedged hillside parcel spanning almost three quarters of an acre.

The Orindothan designed abode now offers seven bedrooms, eight full baths, and two powder rooms in roughly 9,000 square feet of H-shaped living space across three levels. English country inspired interiors by Marie Carson and ML Designs Sport, plastered brick walls and floors, clad in wood imported from Germany's black forest, plus smart home and security systems. Standing out on the main level is a fireside living room with a vaulted oak beam ceiling. John, if you've seen Star Wars, you'll love this room. Have you seen Star Wars? I have seen Star Wars, Jordy.

I've seen all of them multiple times. I am a fan. The kitchen is outfitted with a fossilized stone. Eat in Island decor and sub-zero appliances and a windowed breakfast nook with built-in banquet seating while the primary suite has a projector and a retractable 100-foot screen. Wow, that is a big TV or projector. A seating area that opens to a balcony and a marble bath anchored by a nickel soaking tub. Lower level features a soundproof movie theater. So they have a hundred-inch projector in the master and then you go downstairs and there's a soundproof.

movie theater. This guy liked media. Makes science. Film enjoyer. Maybe he was playing Call of Duty on these on the movie theater screen. It has cashmere recliners in an entertainment lounge with a bar and a climatized wine cellar. And upstairs a mere gym in a dark-hued

study. We love the dark-hued studies here. This is the second one we've found so far. It's also soundproof. It has a wet bar and bookshelves concealing a server area that doubles as a panic room. Interesting. Outdoors, the grounds, host a tiled zero-edged pool with a Baja shelf and spa, grilling station, fire pit,

conversation area, and fountain with lights and jets, choreographed to music. Interesting. There's also cobblestone motor court flanking a two-car garage. Born in Liverpool, England, Anthony relocated in 2004 to Los Angeles, where he worked on Call of Duty, one of the best-selling video game franchises of all time, with more than half a billion copies sold to date. His breakout came in 2010 with Black Ops, which he directed, and wrote. He also wrote and directed the sequel. He went on to launch the gaming studio Deviation Games, which recently closed up shop. As of now, he's reportedly pursuing a new challenge professionally.

Well, we'll have to have him on the show and get the update of what he's doing next. Have you played Black Ops? I have. I have played Black Ops. I enjoyed Black Ops as well. Tyler, were you a Black Ops kid? Yeah, Black Ops 2. Black Ops 2 is the one? Yeah, I guess Black Ops 3 maybe.

Sort of underrated. I've always been a fan of the single player. the experiences, I think more than the average. The multiplayer is still like fun. You mean like zombies or campaign? No, campaign. I feel like there was actually one call of duty recently.

You would be just a campaign guy. I like campaign. It's very cinematic. It's like a James Bond movie. You know that meme of what Greenland's going to look like? And it's from, I think it's from Black Ops too, where they're on the snowmobiles and they're shooting people through the forest.

That's an iconic scene. I like the big set pieces. I like the stories. Yeah, it's not the, it might not be the heaviest. That's probably the most memorable campaign moment in any... No, it's definitely no Russian. Yeah, no Russian. Did you ever play that, Jordy?

Wow. No. Fake gamer over here. Which version was it? It's in modern warfare, right? I actually don't know. I don't know either. I think it's modern warfare.

But yeah, no Russian is, they go, it was a very controversial scene. That one was super dark. Because you play, you go behind the scenes and you're embedded as a Russian, you're doing like a false flag attack, basically. And your job is to, like, shoot a bunch of people in an airport, which is very aggressive, very controversial. Super dark. But certainly memorable. As is Shopify.

Shopify, the commerce platform that grows with your business that lets you sell in seconds, online, in store, on mobile, on social, on marketplaces. And now with AI agents. Let's head over to Montana. Okay. We're going to Montana. The booming mountain town with Montana's most expensive real estate. Once a remote ski outpost, big sky has transformed. to a destination of wealthy homebuyers.

In southwestern Montana near Yellowstone National Park is Big Sky, mountain community that emerged around 1973 with the opening of remote ski area, Big Sky Resort. Over time, big Sky is transformed from a scattering of residences and businesses into a true town. Lately, the 10-year Big Sky 2025 plan added new world-class ski infrastructure and modern luxury residential resort to reshaping the property landscape. This is helping push Big Sky to the top of the state's price charts with a median listing of 3.05 million in December. Despite this growth, the community keeps an authentic Montana feel.

Dressing up still means putting on cowboy boots, jeans, and maybe, just maybe a cowboy hat. Town Center is a newer commercial and housing hub with a mix of dining, shopping, hotels, and recreation. Nearby, the established Meadow Village has a small business area. let's give it up for small business areas around and a residential field together these two districts have merged into big skies growing downtown lone mountain ranch this historic guest ranch with a western vibe dates back to 1915 so before i guess the town actually formed it's known for antler adorned horn and cantle restaurant we got to give some tips to folks who are heading out to big sky there are memberships that you must obtain big sky has three exclusive ski-in, ski-out, private residential clubs. You got the Yellowstone Club. Spouted in the 1990s, offers classic timber aesthetics, private ski terrain, and a Tom Westcoop designed golf course in addition to a variety of housing options. Montage Big Sky Resort

opened in 2021 and is within Big Sky's Spanish Peaks community, which you mentioned. It has 139 room hotel and private residences. Ownership provides an opportunity to join Spanish Peaks Mountain Club. And then there is the one and only Moonlight Basin Resort on the grounds of the Moonlight Basin Club. Yeah, this just open. I have two friends there right now. It looks, it looks incredible. And they have homes. Montage is set up where I think it's only fractional for their residences, whereas Moonlight Basin or the One and Only, you can actually buy entire homes. The business model of just buying a bunch of land for cheap and then building a bunch of homes and selling them. It really is sort of like a Montana forever environment. You know,

Silicon Valley talks a big game about like building new cities. California forever. You head out to Montana and they're like, yeah, we built three of these like just recently. We built like whole cities. Ski season is obviously the big headliner. Big Sky's calendar is actually a tale of two high energy peaks. Winter at the ski resort spanning 5,000, 800 and 50 acres, and one of the largest in the U.S. is the undisputed king. But in the summer, the Big Sky PBR claims the throne as the premier event. It brings together the world's elite bull riders to an outdoor arena in town center, pairing the raw grit of professional bull riding with pyrotechnics and mountaintops sunsets.

We've got some advice for the buyer. The majority of the full-time residents typically live in the vicinity of Meadow Village or town center where there are more condominiums. a real estate broker says. Within a quarter mile outside downtown, there are single-family homes, part-time and second-home residents, and on the other hand, often buy in the mountains where there is ski access. Bullis suggest keeping an open to mind. Some prospective buyers initially want a single-family residence, she says, but even those

who thought they needed a four- or five-bedroom house may be swayed by a well-designed condo aesthetic or the convenience of being able to easily lock up and rent out the unit. Alex, Alex Waters, who we were with on Sunday with Paul. He is running the racing program out at Willow Springs. He's setting up a new members club in Bozeman that allows you to buy garages, which means that you will have a primary, or not necessarily a primary, but you will have a residence on Montana, which means you can get away with not.

Oh. There was a loophole with you could set up an element. I'll see in Montana, buy a car, and then avoid the 10% sales tax or whatever it is. The old Whistling Diesel, but that's been getting cracked down on. It never really was obvious that it was legal at all. I think it wasn't, I think it wasn't. It also aesthetically was a little offensive to some people. They said there was sort of a carve out if it was like, oh, you had to do it because of certain

regulations, like a certain car couldn't get approved. but there were a lot of people that were like, hey, you bought a $800,000 car, why can't you just afford to pay the taxes, the sales tax or whatever? Why are you nickel and diming? Like, can you really afford that Lambo if you can't just put a California license plate on it?

It always had like a little bit of like an aesthetic, like you're skipping. Well, some people were doing that specifically because their cars wouldn't pass smog in California. Yeah, if they're old or retro, like you sort of get a pass. Graphite. Code review for the age of AI. Graphite helps teams on GitHub ship higher quality software faster.

Hey, I did a graphite. Did you see Amman is headed to sea? No way. Got a video here. Okay, let's play it. Hold up this video. Amon at sea. They're calling it a philosophy.

Is it a... It's a boat? It's a cruise ship. Let's play this. Looks nice. Got a nice big bedroom. This is on a boat? Is this AI slop? Is this AI or CGI or is this real?

We need to know. Let's go to the comments. Oh, the goat. I honestly thought that goat was in the video. That did fool me. The horse. That is a big boat. Wow. That's a big boat. It does look like they actually built this thing. Will this get you to go? They're gentrifying cruises, John. Incredibly, absolutely incredible. You truly nailed it. Wow.

The comments, adoring. People love it. Amangati is the embodiment of space and seclusion, comprising just 47 spacious suites. The yacht is imbued with the same quiet elegance as Amman's sanctuaries on land, with unparalleled surface from the onboard team, attuned to discussion in detail.

So it's a big yacht, John, but it's a lot of people. Yeah. You're looking at hanging out with, like, it's over 100 people with the staff, I would assume. You've got 47 suites, a couple people. for suite and then staff. That's a lot of people to be on a boat.

I'm sure it'll be an amazing experience. Are you signing up? I would. I've been anti-crues for a very long time. I think that they might be an over-rotation against cruise culture. It's been degraded in many ways where many cruise ships, the aesthetics are very like, okay, you're just basically drinking gambling the whole time, and it's sort of like boring and bland.

And it's certainly not the correct cultural way to visit a country. Like if you're just like, yeah, I've been to, you know, France, no, I didn't go on land. I was just on this boat drinking and gambling the whole time. It's a little bit, it's a little bit, it feels uncultured sometimes. But I think that certain cruise ships might offer specific things that people might enjoy. It depends on what you're, what you're going for and what the community will be like on the boat, what the goals are.

Who knows? Maybe it's all slot machines on the Amman. I stayed in Montenegro for a couple weeks once, and it was so funny because you'd just be in like the most quaint little village. Yeah, yeah. Like by the sea. There's tiny little boats out. It's totally idyllic.

And then just like this massive cruise ship would just like roll into the port of this tiny town, and it would kind of kill the vibe. I like the smaller boats. I like a catamaran. something you can scuba dive on. I guess like my big question with the Amman cruise is, like, if you're staying at Amman, it's probably think like 50K for the week for a room, especially during peak season. And so assume, and like renting like a pretty nice yacht with a full staff that's private.

Yep. It's like probably. It's around the same. Yeah. potentially like slightly more, but I'm not sold that this is going to be that creative a trait. Well, so the thing is. Especially if you're going with friends.

You're just like, do you want to go on the Amman, do you want to go on the Amman boat? Yeah. And you're sharing it with a hundred other people. Yeah. Or do you and like friends want to get your own boat? You might like hanging out with other random people that are there on the Amman boat. Like there might be serendipity that comes from the community. That might be a act.

I've met some cool. I've met some cool people. What if you get like 100 of your boys? Yeah. You just load the whole thing. Yeah, yeah. Maybe like 200. Pack them four in each suite.

You know, you take the mattress off the bed and then half the dudes sleep on the box spring and then half the dude sleep on the mattress. That would be such a funny bit around on the Amman. Yes. Is basically pick the most like figure out like what is like the least desirable dates like next year for cruising in general. And then all of your friends book it at the same time. It's like a better. It's like a turn of the offside. Yeah.

would be good. But yeah, I mean, there's nothing wrong with looking one luxury suite. It would be cooler to rent like, put it on your crew in there. It would be cooler to rent 10 yachts with your friends all at the same time. Yeah. And then just like park them and hang out. I like the idea of just smuggling as many of your boys into one room as possible. Just being like, sir, you, you selected just two guests.

Why are there 14 dudes in your room? Why do you have 30 sets of luggage? Why do you ask for a seventh cot to add to your, to your room, sir? What's going on? You're like, don't worry about it. The other thing with Amon is the most like first world problem ever. But like some of the menus are just like so, you know, makes sense.

But like so focused on like sushi. Okay. So raw fish heavy. Sure. That at some point you're like, I need to venture out. By like day five, you're like, I don't want sushi. I think that is the actual value prop with the Amon is that you're, you're potentially reducing the standard deviation or like the variable experience.

Because if you're chartering something privately and you're getting a private boat, you might have an amazing captain or you might have a mediocre captain. You kind of got to figure out the reviews and process that. And then, oh, the chef, how are they doing? And then all the crew, are they all good? Whereas Amman, you kind of know that there's like a standard that's being held within that group and that everyone will be trained to the same standard, that there will be an organization that's maintaining

some sort of base level of experience. And so, I don't know. Anyway, 11 labs. Build intelligent, real-time conversational agents, reimagine human technology interaction with 11 labs. We had some breaking news yesterday. Caroline Ellison has been released from federal custody. She, of course, was involved in the FTX drama that erupted a few years ago.

She's out. And Martin Screlli, quote, tweeted us into the oblivion. Ratioed us by, Changing our, changing, you didn't even use nanobanana pro. He just scribbled all over our trading card and said snatched. Honestly, it worked. Yeah, I was thinking like that felt very fast. It does feel fast.

It does feel fast. But I'm excited to see what she does next. Will she build something? You know, we've seen some other folks get out and go on to redemption. And we will see. Hopefully at some point she tells her story. It'll be interesting to see her side of it. Maybe she has convincing arguments.

I heard she wrote a book. Really? There was some leaked. I don't know how true it is, but currently she was writing. Okay. Well, Jay Yarrow is sharing. Joe was highlighting Intel sold off after earnings yesterday. And Jay is particularly disappointed because he says,

I'm a U.S. citizen. And our sovereign wealth fund owns this one. Yeah, a bad day. Bad day. We all lost something today. Bad day to be a U.S. citizen. Should we talk about... The news on Intel really quickly.

Intel posts loss after spending increase. Swung to a loss for the fourth quarter on Thursday and forecast further losses in the first quarter as the company spends heavily to ramp up production of its latest chips. Company reported a net loss of $333 million for the last three months of the year. And analysts were expected. them only to lose $294 million, so they lost more than expected.

Revenue was $13.7 billion, and a year ago, it was $14.3. So revenue is declining, losses are expanding. It's a bunch of bad news. Shares fell 6.7% in after I was trading. The CEO, Lip Bhutan, said our priorities are clear, sharpen execution, reinvigorate engineering excellence, and fully capitalize on the vast opportunity AI presents across all of our businesses. The CFO said industry-wide supply shortages

were a factor weighing on results and said the problem would worsen in the first quarter or 2026 before starting to ease in the spring. Well, I'm rooting for Liputon. I'm rooting for folks over at Intel. I'm rooting for the American taxpayer who owns a little bit of Intel, so good luck to all of them.

Let me tell you about ACTA. Octa helps you assigns you. every AI agent of trusted identity so you get the power of AI without the risk. Secure every agent, secure any agent with Oct. Well said, John. We should talk about this out-of-home campaign. Open AI has purchased a ton of billboards. They have hit San Francisco.

We got a whole bunch of folks at Clay, Valfos, Decagon, Unified GTM, and Christina, of course, from Vanta, is sitting there on the billboard. I like the aesthetic, the black and white, the big, there's a lot of white space in the design. It's not too cropped in. I think they executed these billboards very well. And it's fun. Opening eyes such a, it's easy to collapse it into. It's just an app on your phone. It's a singular business, but they do have a lot of partners all over the startup ecosystem. And they are paying tribute to them with this out-of-home campaign. I like to think about the 10 people left in San Francisco that have never heard of AI or Open AI or TATGBT and they're just very confused,

walking around, looking at these nice pictures. It really is for the builders. It is another example of San Francisco billboards being very insular insider jokes. Like, you know, there aren't that many people in many cities that would be able to identify all these founders by name or know these companies even, especially at the size they put there. They didn't even put taglines. They just put this person's name building this company. You have to know.

It's an if you know you know campaign. But I think there's a lot of people in San Francisco that do in fact know. So congratulations to everyone that is sporting their fits on a billboard in San Francisco now on Anthony Eyes time. Let's head over to Fay Lee. Yes. According to Natasha at Bloomberg, she's in the fundraising market. Yes. With talks, early talks, advanced talks, we're not sure.

but their talks to raise 500 million at 5 billion. I do think, when you think about the leverage that founders like Faye-Faley have to be going out and raising this much money this early and just still being like, sorry, the most I can give up is 10%. It's like they all want to do these 10% or less. She deserves the goat sound effect. She deserves the goat on the screen. She's a true goat on the screen.

We got a goat on the screen. Former TBPN guest, very happy to have. I've chatted with her. Her company, World Labs, has been posting some very interesting demos. Obviously, there was that box that you could see a virtual 3D world inside. That was very cool. And the way she talks about it is funny because it makes me feel like she's a gamer. And now I just want to get on Rust with her and experience whatever game she plays.

Because she's sort of becoming an important player in the future. of video game potentially, the future of gaming, the future of the Metaverse. And I wonder, I wonder if she has any favorites or has, has, has, has, has, has dabbled on, on Cod late at night, on voice chat, screaming at people. What's, what's going on with, uh, so green oaks, Altimeter? Yes. Have initiated a trade dispute with the government of South Korea. They're suing South Korea of unlawfully attacking e-commerce giant. Koupong.

Koupong. Yeah. I think Neil went into detail on their investment in coupon on Invest Like the Best. Yes, yes. It's a great episode. It feels rare to have the venture firms be doing the lawsuit or to initiate the trade dispute. It's interesting like where this lawsuit is sitting because typically, you know, if you back some company and then they get into dispute with the local government,

the company is the one that's sending their lawyers. But in this case, it is Green Oaks and Altimiter. But people are coming out in force supporting Neil Meta. Gary Tan said, Neil Mehta is who you want by your side when it gets real. Not a lot of investors would go up against a sovereign to defend a founder. South Korea's government is about to find out that Americans don't take well to being bullied. And Brad Gersner gets in the replies with the American flag and the salute.

Let me tell you about cognition. They're the makers of Devon, the AI software engineer. crush your backlog with your personal AI engineering team. We're sure. Substack. What's going on with Substack? They're going into television. They're going into television.

They're taking on big TV. They say, according to Max, they're launching Substack TV app on Apple TV and Google TV. Users will be able to watch video posts and Substack live streams. I think this is so much of Substack's opportunity right now is just that X is rolled into XAI and is like not operating, you know, as like a pure play standalone company. And so, yeah, I think they're making the most of it. It has been definitely ramping up the video functionality. We've done some live streams there.

There's a lot of opportunity. And it's a very interesting community. I think that's the strongest thing about substack is just that it's a very high signal place. Like if you were, you know, the substack experience is not scrolling random posts, random creators, but I feel very confident about if Substack were to serve me a random piece of content that was doing well across the Substack network, I would enjoy it because the creators that choose to be on Substack, there are just so few.

Yeah, you could see a new kind of like, we were talking about Vimeo earlier, the dynamic that you used to have between Vimeo and YouTube where Vimeo was like a superintentional place. You can see something emerging again where like Vimeo is like maybe. or sorry, Substack TV is like a somewhat more intentional version of YouTube. Just because it is like based on like your actual audience less around just like raw discoverability now. Yeah. Logging onto the Substack TV app and like seeing exactly content just from the people. Yeah.

And also with Substack, if you're trying to create like a signal on a piece of content, the fact that people pay is really, really high signal. Like, it's hard to clickbait someone all the way to putting their credit card down and being like, I support this creator and I'm willing to pay, you know, five or $10 a month for who knows how long. And so that just feels like a really, really strong signal to pull across the network if you're surfacing things. It's like, yes, this person isn't just good at clickbait. They're not just good at driving traffic. They're not just good at thumbnails and titles and hooks.

Like, they are good at creating such a response from their community that their community puts down their credit cards. And in the case of, like, Emily Sundberg would feed me. Maybe they pay more than they have to because people really do enjoy the relationship they're having with the creator. And so Subject has been very, very unique in that. Anyway, there are always more posts. Did you see these people clearly have not read Rokka's Bassel? Yes, what they say? They're tearing up the Waymo's in SF.

That's not good news. We can pull up this video here. They're really jumping on this. This is a new one because Waymos have been in the past. That's the two words I haven't said put together before. They're really breaking the windshield. Wow. What is this?

Did the Waymo drive through a particular protest? Did these people just, do these people just descend upon a random Waymo? And also like, this is a crime. This is property destruction. Yeah, what would your mother say? Yeah. Also, I'm just thinking about like the Waymos aren't cheap. You're going to be hit with like a $500,000 bill, even if you just have to pay for repairing the Waymo. Very, very odd. But of course, people are calling to give the Waymo's weapons and people. That is the rallying crime attack. I don't think Google will be doing that anytime soon. I think there were other ways to solve this. But it is terrifying if the bird and lime, the Bird CEO, if he was looking at this, would be having a little bit of PTSD. You remember Bird Graveyard that account? Yes, yes, yes.

The autonomous technology really needs to get put through the ringer. Although a lot of, I mean, the New York City bikes seem to have been, you know, made it through the whole destruction phase and seem to be continuing to exist at least. Anyway, what else? Sam Schaeffer had a post here that I wanted to read through. He said, I'm waiting for bangers to post. The at bangers account on X apparently has not been posting very often. He's waiting for the Tesla Roadster. He wants another Starship launch from SpaceX.

He wants Apple's folding iPhone, and he wants Daft Punk to be resurrected. I thought it was a good list. I think another Starship launch from SpaceX, that's, like, for sure going to happen. Apple's folding phone, maybe next year. I don't know. We'll have to talk to Mark German about it, but it seems like it's coming. certainly working on it. The Tesla Roadster, that might be a ways away. That feels like that project has been fully mothballed in favor of other things like Optimus and data centers in space and whatnot, but I would still love

a Tesla Roadster. There's still something, it is remarkable, how few electric sports cars there have been. Obviously, there's the hypercars like the Ramatson-N-Avera and the, what is it, the Ferrari. There's a few other, like hypercars in the electric world that are like a million plus. Ferrari has like this really weird. It's a pinning arena of Batista. The Batista is, oh, I think over a million dollars in fully electric and has not been met with positive reviews from the car community. But if you put that, that level of performance in something that costs $200,000, it is a

different equation. And I mean, you take the cyber trucks aesthetics and you take those type of design risks. And if it's low volume, you could at least create something. that's, you know, curious to see on the street. And a halo car would be, would be fun. I'm excited for that. Anyway.

Funny story out of, from semaphore, Liz Hoffman writes an entrepreneur's 13 hours in Davos jail. The food was phenomenal, says. Sebastian Heinemann stint as a suspected terrorist started in the most Davos way possible, hunting for something to eat. The 31-year-old entrepreneur and first-time World Economic Forum attendee was scouting for a salmon roll at a party hosted by Digital Life Design. Tuesday night at the Grand Hotel, he set the prototype of the machine he hopes to sell a verification device to fraud-proof money transfers on a pillar. When he came back, it was gone. Hotel security was waiting to tell him the police had some questions.

I'm the idiot in this, Heineman founder of startup Vertico readily admits it's a black cube with hot glue blobs and wires coming out the side. He left it unattended in a small town police state. What followed was 13 hours in the custody of the fatigue clad, but unfailingly polite Swiss belief we spent all week thanking in broken German. Semaphore reviewed his release ticket from the police, which said that Heinemann was noticed within W.EF. 2026 security zone with a tech device that seemed suspicious and its use for illegal purposes could not be excluded. And anyways, the view from a Davao,

jail. So at the Belvedere Hotel Security, there's this detective mid-40 Swiss who searches me extremely thorough. They handcuffed me and put me in the back of a BMW. Nice. Nice. Swiss police riding in style. I meet another officer who has the best English. The jail is right next to the

train station. They bring out a fingerprint scanner and the guy tells me, I want to see if you're an international spy. I asked for my lunesta pills because I have insomnia and he said, I can't give it to you because I don't know if it's cyanide. Whoa. This is insane story.

You walk into the office and there are two cells, everything is all painted white, very antiseptic and Swiss. There's a metal bed drilled into the concrete and a toilet sink combination. I love this founder's like there just like hustling, trying to get some customer interest and just goes to Davos jail. And it's like, well, I may as well make the most of it. Try to try to get a story out of this. Anyways, there's a metal bed drilled into the concrete and a toilet sink combination. They said it was spring water, so the water was good to drink. the food was phenomenal.

Better review than Besson. Scott Besson. Yeah. They brought it from the hospital, apparently. Chicken lasagna, amazing. The only complaint I have was the smell. The next morning they bring this guy named Chris, a technical expert.

He says, come out here, explain your tech. I do my pitch. I say, look, I'm not a very good hardware engineer, but I'm a great user of AI. I was one of the top users of Cursor last year. I did 43,000 agent runs and generated 25 billion tokens. We open my machine.

Chris and I go line by line through the code. I don't know the language the code was written in because it was written with AI. So Chris actually explained the code to me. They come back and they say you're free to go. You can take all your stuff with you, but you're banned from Davos between now and 6 p.m. on Friday. I'm going to apply for another hotel badge next year. So anyways, insane story.

Don't bring your hardware device that you don't fully understand with a bunch of hot glue in a plastic box. very, very, very sketchy, but it got a good story out of it. The other interesting takeaway from Davos, Alex Heath, summed it up in the Sources.News newsletter. He says, after my conversations with AI leaders this week in Davos, I came away with the impression that the industry has collectively decided to gang up on open AI. And so you saw Demis and Dario hanging out talking about how much they are open to collaboration. open to pausing, if that makes sense, open to working together, and, you know, Elon on stage,

but not a lot of open AI love from all the other lab leaders. Sort of an interesting dynamic, the anti-open AI alliance. I was also following the Calci market on will Elon win his case against Open AI? The volume's gone up. It's now a 58% chance that Elon wins his case against Open AI. So like we're getting close to 50-50. The market's pretty stable. Nothing's really moved it significantly one way or another.

But I'm sure it'll be moving a ton later once we have more news that comes out, more back and forth, more people sharing facts and figures. There was some reporting from the New York Times on Cash Patel's demands for a work trip to the UK. A lot of people were getting very angry about this. But I want your reaction, John. So every May there's a Five Eyes conference with the head of every intelligence agency. This year it was in the UK. Cash Patel is going.

And the lead up to that, his detail that starts making crazy requests. You can tell me if these are crazy. He's got special requirements on everything. And the Brits are getting pissed. Before the conference, his staff says he's unhappy because he doesn't like meetings in office settings. What he wants is social events. He wants Premier League Soccer games. Now, that's deeply un-American.

He wants to go jet skiing. Okay. He liked that. He liked a helicopter tour. That's fun. So, yeah, I wanted to ask, is this fair? He wants to go and develop, you know, relationships with the... I think you need to go much further.

You don't want to ask to go to some soccer match, do some European nonsense. You want to ask for American football match. Bring the NFL over there. Yeah, the Super Bowl is happening. I want the All-Star game play to your while I'm in town. Yeah. Bring the Patriot. I also think you're excited about helicopters.

You're excited about jet skiing. Why not combine the two? Combine the two. What's that? Like, bring them out at the same time. Oh, okay. Head down to the lake. Yeah.

Down to the lake. That'd be good. Or the river, right? And just be zooming around together. Yeah. Jumping off, you know, trading places kind of thing. What about wing suiting? Let's get some wing suiting.

Yeah. Some bungee jumping. I want to do, you know, that Red Bull jump from space. That's what I want to do on my trip. We're going up to the edge of space. Felix Baumgartner. Yeah. I'm jumping out of the weather balloon into the central London.

Yeah, that's a good bit. You're going to tour another country and meet with people and say, like, actually, I want to go to space. Very high up. I want to go to space. I want to go to space. In other news, Eric Jorgensen has announced pre-orders for the book of Elon Musk. It's 61 days until the launch.

David Sentra, who got an early copy, and it says it's awesome. He highly recommends pre-ordering. If you're not familiar with Eric's previous books, he wrote the Almanac of Naval Ravacant, which did sit fantastically well, sold a ton. Jack Butcher is involved in the book of Elon. That should be very fun. And Naval wrote the foreword, which is very cool. Equipment chair, we're in public today. IPO.

YC. Winter 15. They say from Missouri to 373 locations nationwide, 7,700 team members. And 8 billion of fleet under management, they built the operating system. Construction has been missing. Our friend Mitchell from Lead Edge is a big investor. That's right. In equipment share. We're working on getting the CEO on any day now. But congratulations to the entire team and cap table at equipment shares.

That'll be fun. Well, it's time to plant the bomb and wind down the show. Thank you so much for listening and tuning in today. We hope you have an incredible weekend ahead. Only three more sleeps. until we're back here. We'll be counting them down. Leave us five stars on Apple Podcasts and Spotify.

Sign up for the TBPN newsletter at TPPN.com. Visit some of our sponsors. Look in the description. Go browse around on their websites. There's a lot of good stuff. A lot of good stuff. Thank you to our whole team. Yeah, thank you to the team.

Tyler. A bunch of legends. Ben, a whole crew. And thank you to everyone in the chat. We will see you on Monday. Cheers, folks. Goodbye. work brothers. I'll see you on the next one.