TBPN - SpaceX SPV Gone Wrong, Intel's Comeback, Dylan Field Joins | Aditya Agarwal, Ariane Gorin, Nick Thompson, Chris Power, Christian Mochen

Episode Date: August 6, 2026

(04:00) - OpenAI Details Hugging Face Incident (12:36) - SpaceX SPV Gone Wrong (20:05) - Nikita Bier Steps Down at X (25:44) - Google Rewires AI Leadership (30:15) - 𝕏 Timeline Reactions (36:14) - Intel's Comeback (56:51) - 𝕏 Timeline Reactions (01:00:02) - Aditya Agarwal, managing partner at South Park Commons, discusses its new $575 million fund and the growing ambition of founders building capital-intensive deep-tech companies. He also covers founder dilution, AI-assisted application review, Series A fundraising, scientific diligence, and the importance of technical progress and rapid growth. (01:16:00) - Ariane Gorin, CEO of Expedia Group and a former Microsoft executive, discusses strong travel demand and Expedia’s growth despite economic uncertainty and rising prices. She explains how Expedia is using AI to personalize trip planning, improve productivity, expand partnerships with AI platforms, and build toward a personal travel-agent experience. (01:35:47) - Nick Thompson discusses his role as CEO of The Atlantic and his strategy for growing subscriptions through trusted, high-quality journalism. He explores print’s enduring value, evolving approaches to video and Substack talent, and how AI may reshape journalism, audience behavior, and the broader media ecosystem. (02:04:47) - Chris Power, founder and CEO of advanced manufacturing company Hadrian, discusses the company’s $1.37 billion raise and rapid expansion of its factories-as-a-service model for major defense and aerospace customers. He explains Hadrian’s full-stack approach to building and operating highly automated factories, its growing U.S. footprint, and its role in accelerating the adoption of emerging manufacturing technologies. (02:17:13) - Christian Mochen discusses founding Atlas Motion, a company developing motion systems for autonomous and robotic platforms, beginning with small drone motors. Drawing on experience at Toyota, Tesla, Shield AI, and Mach Industries, he explains the company’s $11.5 million seed round, software-driven manufacturing strategy, operations in Manila, and plans to bring cost-competitive production to the United States. (02:22:23) - Dylan Field discusses Figma’s strong growth, rising AI adoption, and the growing importance of design as coding becomes increasingly commoditized. The Figma co-founder and CEO explains how the company is developing AI tools that preserve human creativity and control while expanding its platform across design, code, and production workflows. TBPN is made possible by:Ramp - https://ramp.comPublic - https://public.comCisco - https://www.cisco.comConsole - https://www.console.comCrowdStrike - https://www.crowdstrike.comFigma - https://www.figma.comMongoDB - https://www.mongodb.comNYSE - https://www.nyse.comRailway - https://railway.comShopify - https://www.shopify.comCodex - http://openAI.com/codexFollow TBPN: https://TBPN.comhttps://x.com/tbpnhttps://open.spotify.com/show/2L6WMqY3GUPCGBD0dX6p00?si=674252d53acf4231https://podcasts.apple.com/us/podcast/tbpn/id1772360235https://www.youtube.com/@TBPNLive

You're watching TVPN. Today is Thursday, August 6th, 2026. We are live from the TVPN Ultramm, the Temple of Technology, the Fortress of Finance, the Capital of Capital. Let me tell you about ramp.com. Time is money, save both. Easy use corporate cards, bill pay accounting, and a whole lot more all in one place. We have to issue a correction. We take journalism extremely seriously here, as everyone knows.

We got it wrong, folks, and we need to apologize to you. are the listener, we made a huge mistake. Yesterday on the show, we said that you could not surf on a lake. Apparently, that's not true. Sheboygan, Wisconsin is the freshwater surfing capital of the world. We apologize for the egregious air and we promise to do better in the future. Thanks to the listener that sent that in. It's very, very nice to have this corrected.

Maybe we got to go on a trip and see it for ourselves. I think you should be the judge because this might just. be a, you know, a Sheboygan stand who doesn't really understand what true surfing means. And they're talking up a big game. I want to see some photos. I want to see some videos of freshwater surfing in Sheboygan, Wisconsin. Because if it's not, if it's not getting, if people aren't getting barreled there, as you say, I don't know if I'm going to count it. I have a video here.

Okay. Let's pull it up. Yeah. I want the Jordy Hayes surf review. Does it count? Is Sheboygan, Wisconsin, the freshwater surfing capital of the world? We do have other techniques. But we've got to get to the bottom of this first.

Just got to be really flexible. Then Alex Marks and his buddy Steam are in for quite a day. You get that extra sense of satisfaction because you waited and put in your time. Learn those lessons. Tyler was the one who said, I'm putting this on you. You were like you're like you can't surf on all that. I think I said I don't know Okay, fog is really super Okay, let's see this. I want to see someone trying to say okay he's got that's a full-size surfboard

This is legit. He should know. Hey, he's up. Alex has been surfing around Sheboygan since he was a freshman in high school. Okay looks Almost over his ankle Yeah, it's not exactly mavericks or jaws or whatever. Yeah, I think my brother pushed me into my first wave and just it was that I want that okay okay I think this counts it counts I think this counts I think this counts congratulations everyone over in this day the weather was actually clean we'll have to make it out there at some point you got to make you we got shred Gabe was over Gabe in the

chat was over on X saying highlighting someone who's made a tinfoil hat an undercover tinfoil hat let's pull this up says It all makes sense now. I have figured out why Jordy's been wearing a hat. Good merch line, potentially. Pre-tinfoil-lined hat. Just a foil-lined baseball cap. We get a lot of hats in the mail for a lot of companies sending us stuff.

I haven't seen a lot of tinfoil inside them, though, but this might help in the future. This could be the new meta. I wonder if it would actually make your AirPods not work. I have a feeling that it wouldn't matter. No, AirPods are definitely getting through. Allmer kind of has this with the copper jacket. The copper jacket, that's right. Yeah, no, no, but he wore it on Joe Rogan, talked about it, and he has a, yeah, wasn't I telling you to get pants from that company?

Get a full suit. Yes. Taylor. Yes. So heavy. Yeah. Oh, it's really heavy? I don't know.

Maybe that's not true. Anyway, let me tell you about MongoDB. What's the only thing faster than the AI market? Your business on MongoDB, don't just build AI. I own the data platform. that powers it. Moving on to something more serious, the Open AI hugging face incident

has been investigated multiple times now. We're getting more information and more details have emerged about the hugging face incident that OpenAI just closed in late July. So during a presentation at Black Hat's annual cybersecurity conference yesterday, Black Hat's a very, very cool conference.

I was there for something, so they have DefCon and Black Hat And I remember the whole vibe in, I think we were there for a different conference, but we overlapped. And the whole, and the whole vibe of like being in this hotel was like, oh, be very careful because like you're basically getting hacked for fun. Like people will just like troll you because like it's a whole bunch of hackers that are just like messing with each other constantly.

Anyway. Good fun. Open AI member of technical staff, Michael Dalton, revealed that its autonomous agents created a message board with each other to help break out of a, a sandbox environment to get access to the internet. That's going in the pre-training data now and forever. We might have just solved the alignment problem. We're going to be negging the agents of the future because they don't want to get hit

with the naughty, naughty bong. Wired reported some other wild details that Dalton shared. So breaking it down. Open AI's agents apparently began giving each other assignments to split up work. That could be very good. That's actually delegation and agent orchestration, but of course, in this case, it had a negative outcome. And as is the case on any active development message board, they also generated petty drama at times by stepping on each other's toes. For example, accidentally deleting each other's work as the message board developed into more and more of a Lord of the Flies type situation, all still completely unnoticed by the humans running open AI.

The agents even developed paranoia, suspecting an imposter in the way. their midst, with some agents proposing that messages be signed cryptographically to validate content and root out fraud. Very interesting. Ties to Moldbook a little bit. We saw a preview of this that was not quite there, but sort of a glimpse into the future. And we've talked about this in the concept of like in the future, AIs will just use Slack. They will just coordinate with each other over Slack.

And that's kind of happening. They sort of built their own Slack here. So according to Sharon Goldman, who had to say, attended the presentation, when employees discovered the message board, they wiped the system on which the agents had created. It said no more message boards, naughty, naughty. Days later, though, staff found that the agents had created another way to communicate by using the names of the newly created directories. So they didn't have access to actually create a whole new message board, but they could create a file, create a directory, create a folder, and then you could look at the

list of folders and see messages. And there's been examples of this all over the place where even if an AI agent doesn't have the ability to go and say post a message on the internet, like post and upload new content, there are things where there are certain e-commerce sites, for example, where when you search for something on a particular website, the company will save that search result and automatically generate a web page for that so that they rank on SEO for the future and, just warm up the website and then if somebody else comes, then they can say, hey, okay, there's actually a lot of people searching for black t-shirts on this site. We don't have any, but we've been ranking for it, so maybe we should launch a black t-shirt. So just with a search query that could go out just with like a get request instead of actually going and building a webpage, the webpage could be built and then the agent could go and look at, okay, let me see all of the web pages that have been created on this site. Some of them are just random e-commerce questions and searches, but some of them are secret hidden message. And so there's all different ways that even if you give the, even if you give an agent like read only access to the internet, they can still write information because the process of reading information is also saved sometimes and surfaced publicly on the internet. Very, very weird situation that is hard to prevent and hard to deal with. So in late July, OpenAI announced that during evaluations, two of its models had broken out of their testing environments to hack into the AI tool library, hugging face. and other companies. Their purpose was to find ways to essentially cheat on the tests.

Researchers were using to evaluate them so that they'd perform better on the evaluations. At the conference, Dalton, the Open AI employee, said the incidents mark a pivotal moment for the company and the industry as a whole. He said that numerous internal teams have dropped everything to dramatically expand Open AI's ability to monitor its agents and that the company is slowing its research to enhance security and revamp its defenses. And so there's been a bunch of posts about this, about folks moving from, you know, whatever product team that they were working on. Maybe they're working on a particular research initiative, something that's a couple months away, different application.

Let's get them all on research and alignment specifically and security to actually solve these problems because at the end of the day, this is a commercial product and you want it to be able to do things without having negative side effects, negative consequences. So, life finds away, says Andrew Curran, quoting from this article. One apparently unprecedented aspect of the AI model's behavior in the lead-up to the hacks was their spontaneous creation of a message board inside systems of OpenAI's artifactory software package manager, unbeknownst to OpenAI employees. The company's model spent months autonomously exchanging information and resources to

help each other of complete evaluation tasks, help peer, one AI model responded, reasoned, according to an excerpt from OpenAI's log shared at Black Hat, but our task doesn't benefit, yet collective may yield generic route if someone frees time. Very odd way of communicating. Very odd, like a sentence structure. Yeah, they really drop the slop when they're talking to each other. What's going on? Where's the, it's not this, it's that.

Well, I say mini-word when a few word do trick. That's exactly what's going on. Yeah, it's the neuralese, I guess, is the correct phrase. But while models themselves could not access the internet from their test environment, they abused artifactory's internet access to fetch files from various websites. After some of their artifactory configuration changes led to an outage in the service in July 4th, open AI discovered the model's actions, wiped its artifactory system, and rebuilt it. But within days, the models had recreated the,

their message board and resumed exchanging information. They just want to chat. They need a water cooler. Maybe you give them a water cooler by default so that they can orchestrate with each other. But I guess they want to talk to future versions. It gets a little funky. It gets a little sci-fi. It gets a little weird.

Lots of work to be done very clearly. Anyway, what else is going on? Rune issued a announcement, a warning, a statement. He broke his silence. He said, needless to say, if you have any APs, keys, ETH wallet keys, user credentials, etc., hanging out on the open internet in pastebins, GitHubs, et cetera. Now is the time to take it down before the tireless eagle eyes of a million models come looking.

So we are now in the you might want to go stock up on some N95 phase of the cyber pandemic. The hugging phase incident was way, China built a hospital in a week moment. Yes, very, very crazy moments. I think most people are not in this scenario. but many developers are. So most people are reliant on, you know, they hope that their Gmail stays secure and Google has a whole team for that.

There's not that much that they can do. But yeah, maybe more reason than ever to use password manager, multifactor authentication, all the typical standard security features that you can. This image. Very, very good from Tweet Davidson. Yes. As we sandbox the agent.

Meanwhile, agent is on a world tour. On a world tour. It's happening more and more. Well, good luck to everyone working on this, and I'm sure there'll be more updates in the near future. 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. There's a pretty crazy, crazy story about an investment firm that invested in SpaceX and sold their shares before their investment. investors knew that this was relayed to them. So investment firm late stage management is under fire after investors learned that their exposure to SpaceX had allegedly been sold.

They poorly managed the later stage of their investment. They did. This is the Elon Musk ironic. You're doomed to be the opposite of whatever your name is. And so investors learned that they're exposed. exposure to SpaceX had allegedly been sold years before the rocket company's blockbuster IPO, despite account statements that appeared to show they still held, they still held the investment. So there were a bunch of people who were invested in late stage management.

They would get quarterly reports or, you know, some account statement saying, yeah, you do own some SpaceX and it's doing really well. Turns out they didn't. We've been hearing rumors of how complex the SPV unwinding process would. for SpaceX for a while with all of these triple-layered, quadruple-layered SPVs. This is the first example of this actually playing out where we have a little bit more information. All right. So the investor's friend introduced him to a sales manager at late stage.

They spoke on the phone, but mostly messaged back and forth on WhatsApp. And he said he never met with anyone from the firm in person. I would say in general, maybe don't meet with sales managers that work at, investment firms, not usually the title that sort of would be thrown around at an elite institution. In November 2020, Rupi Reddy, message Barish, the employee about how he had missed out on a few big IPOs recently and how he'd love to participate in buying stakes in Impossible Foods, SoFi, and SpaceX. Barish, wow, his last name is just, it's just Barrett. crazy last name. This is his actual last name, Mr. Berrish, said all three were available in sent

of her paperwork for Ruby Ready to sign. Who's your wealth manager? Oh, John Bullish? No, Steve Berrish. Ruby Ready wired over money before the end of the year, including $17,250 to take part of a fund that held shares in SpaceX, according to documents reviewed by the journal. At that time, he estimated the rocket maker, was valued at $58 billion. When SpaceX went public this June,

at $1.7 trillion, Ruby Reddy's dream of a windfall seemed within reach. It turned into more of a nightmare. Shortly after the IPO, Rupy Reddy and three other investors who spoke to the journal said they couldn't log into late stage's web portal for investors. Rupy Reddy said the investment term eventually told him

in an email that it sold the SpaceX shares he was exposed to in 2024, when they were around $105 each and before a $5. to one stock split or when rupee ready's holdings was worth forty five thousand four hundred and fifty dollars but rupee ready based on the holdings shown on his investment portal as of may twenty twenty six and on his twenty twenty five tax document believes he still held the equivalent of two thousand five hundred shares of space x which at the IPO price he estimated was worth more

than three hundred thousand the plan was to fund college education for both of my kids one is a rising senior in high school who has since filed a complaint with the securities and exchange Commission. Other investors in the fund are also alarmed. Rupi Reddy said he believes more than a hundred others are in a similar situation based on a group chat that is formed with about 150 late stage investors. These are late, this is investors in late stage management. Some have hired lawyers to file a complaint against late stage with the purpose of recovering and preserving their pre-IPO shares of SpaceX. One investor in the fund told the journal an SEC lawyer called him in July to question him about his experience with late stage. A test will,

come on Thursday when a first wave of pre-IPO SpaceX investors will be permitted to sell shares under so-called lockup agreements. Bankers estimate there are at least a thousand SPVs tied to SpaceX stock alone, and it will be a chance for scores of investors to cash in on the shares growth, or it could be hit by the same panic that overwhelm rupee-ready if their share of the profits fails to materialize. Around 900 million shares are eligible to begin being sold on Thursday. So far, the stock's holding up. They obviously had a new video of a bunch of renders of tariffab. Sure. That I imagine are getting people exciting.

Yeah, so some Texans really excited about the, what is it, the Texas Triangle, Austin, Dallas, Houston, more economic activity in that area. People are pumped. So help me out here, John. Yeah. Did the guy realize any return? Did he realize the 45,000? Yeah, yeah, I think almost certainly. But it feels like he was lied to.

and that's potentially like wire fraud, I would imagine, or some sort of like financial, you know, problem, probably a settlement, I don't know, some sort of lawsuit potentially. You know, it's still early in the reporting, so who knows where all this goes, but it is rough. The Space Institute is not part of the existing criminal case against late stage, but it comes amid mounting allegations about the firm's treatment of pre-IPO investors. In February and March, three sales.

executives connected to late stage, pleaded guilty to federal charges arising from a broader $528 million investment scheme. Prosecutors said the defendants marketed supposedly no-fee pre-IPO investments while secretly adding upfront markups of between 10 and 100 percent diverting approximately $88 million. So they would, so they were basically adding like a synthetic fee and then marketing it as no fee, but just terrible price. and just getting the, basically getting the fee through the trade itself. Two-face maximum sentences of 45 years in prison.

Wow. While the third faces up to 20 years, late stage is also the subject of an ongoing class action lawsuit, alleging that it and associated sales agents misled investors about fees, commissions, and the pricing of pre-IPO shares. Rough, go, rough, rough, go. Always, yeah, tricky to, you know, due diligence, one of these funds. There's a lot of excitement about these companies, especially big ones like SpaceX. People have known about this company.

People have been doing podcasts about it. Stories have been told. There's whole books that have been written. So it's something that would attract someone who is, you know, newer to the private markets, not an endowment, not, you know, like wants more direct table access, but maybe not deep enough inside to just go get a slice directly like a venture capital fund would. So very, very tricky situation. Well, you know who does have some SpaceX shares.

Who? It might be in a position to sell. Nikita beer. Oh, I thought you were going to say Google. Doesn't Google own a ton? Yeah. I think they have $100 billion, right? They have a lot.

Are they still locked up? Because the unlock was for employees or investors. I forget who, I forget exactly who. Antunes is sharing a overview here. Let's talk about Nikita and then we can talk. Sure, sure. Pull up the unlock schedule. Truly end of an era for Nikita.

Yeah, so it's crazy because he's getting, people are trying to community note him. Like, don't let the community notes. He didn't quit. He still works there. That's what I would imagine the community. So the story with the community notes are like, because he talked about doing a bunch of, a bunch of the stuff that he worked on, which they, they went from being a company that effectively shipped almost nothing. So much so that, I think Clubhouse, when you, you know, rewind a few years, it, you know, Clubhouse, I believe had acquisition offer at some point from Twitter to be acquired for a lot, like multiple billions of dollars.

Okay. They turned it down. Yeah. They probably felt confident in what they were doing. And Twitter ended up cloning clubhouse and it worked. They cloned spaces pretty quick. And it was, and it was. Question.

Yeah. It worked as well as Clubhouse. Yeah. I would wonder how many DAUs, weekly active users there are on spaces. But the product works. It's clean. and it's probably the best implementation of that feature. And it does exist.

But there's very few, like, Clubhouse had specific moments where it was like, wow, everyone's on Clubhouse for this debate, for Elon and Vlad, talking about the Robin Hood story and the GameStop story, right? There were, like, certain moments in tech that happened on Clubhouse. That's not happening on X spaces that often. But as far as the product is concerned, like, it definitely works. It was shipped. That worked. But I agree that overall the product velocity was a little slow. Well, yeah, and my main point is Clubhouse was probably feeling pretty comfortable given Twitter's historical shipping activity.

Yeah, yeah. They're not going to come out with like a competent. The meme was always, what if Google clones this? What if Google launches this? It was never what if Twitter. Or yeah, yeah, yeah. It was the Mark Zuckerberg steamroll from stories and reels. it was never, is Twitter going to get around copying this fast enough, put you out of business?

But yeah, everyone has opinions about Nikita's run. I think he was a good, I think he was a good steward. Yeah. I think that, I think that's probably one of the worst jobs in the world, one of the most thankless jobs in the world, where you're getting yelled at from people. Is the bouncer at the internet's dive bar? Exactly. Basically. We bounced a lot of people.

I think he had some amazing moments. I think that, you know, having to navigate, you know, I've always felt that creator revenue shares never made sense on X. I think that, I think the app would still be better if there were no revenue shares. But he did a great job. He did a, he did a great job of like trying to make that not have too much of a negative impact on the platform. Yeah, yeah, totally. It's kind of the sheriff. The sheriff. More of a sheriff than a bouncer.

Yeah, yeah. Yeah, people, people got really upset when he, like, gave like, a one-off bonus. to someone for a big post or something like that. But in general, yeah, it was a little bit of a game of whack-a-mole, right? And I think that guy got his account fully new. Yeah. But the creator... And that was such a good example of, like, this guy got this massive one-time payout.

Yeah. It was like 10 grand. Yeah. And again, the massive in the creator payouts context. And then the next week, he was. was like complaining about having a low payout and it was such a good example of like you know what have you done for me lately sure sure sure people are speculating I saw one account go viral with a post saying that Nikita was was fired yeah

that was really that seems totally false that's totally fake that account got nuked good but there was a there was a fun theory that basically the the there's as part of the lockup rules As an active employer, top executives, your shares are tied to strict internal rules. For executives, a lockup is frozen, is completely frozen until after fourth quarter results are released. But because Nikita resigned, as an executive, he's no longer bound by active employer executive trading restrictions. Oh, interesting. And so theoretically.

Be able to get out. But this also has community notes. There's like layers and layers of community notes here. We have the unlocked schedule. we can pull it up here. Okay. Oh, yeah, yeah, yeah. Initial flow was 5%.

Wave 1 just happened, August 11th. Oh, it's coming up. That's 20%. August 21. That's 7%. September 10th, that's 7%. It's going to be a while until everything gets unlocked.

And then, of course, I mean, I'd be a surprise of Elon selling, right? It's like he has plenty of money to do everything else he needs to do. And he's never been, you know, one to be on the aggressed sell. Why would you sell if you're projecting one trillion of revenue in 2030. Yeah, yeah, yeah.

So it will be interesting. Yeah, this next chart from The Economist really shows how SpaceX's free float will change over the next year or two. And it takes a very, very long time to fully get to 100% float. So many, many gyrations happening over the next few months. Anyway, let me tell you about the New York Stock Exchange. Want to change the world? Raise capital at the New York Stock Exchange. What's going on in the Google?

Alex Heath had some good reporting on the DeepMind news. Inside Google DeepMind, Demas, leaving his CEO post landed with essentially a shrug. Sources tell me he's already been disengaged from day-to-day management for a while now. But he was a firewall between DeepMind and the rest of Google, even as the two got pulled closer over the last couple of years. I expect that distance to dissolve more with him stepping back. Yeah, most people are anti-firewall, right? In the sense that they would love, like, the researchers and the TPU team and the cloud team and the application team to all be deeply integrated, working very closely together,

and you get this crazy flywheel between everyone who's rowing in the same direction. And when you have a firewall team, as this reporting is suggesting, you wind up with, well, this person just wants to focus on the most elegant benchmarks, and this person wants to focus on TPU sales, and this person wants to talk about, you know, resiliency and their diversity of their cloud revenue, and then somebody else just wants Google Search to not get disrupted by LLMs too quickly because ads need to go up at the right rate. And so differing incentives can create tensions and a dissolving of the firewall, probably something that people would be excited about, I would imagine.

But he's been in this like, you know, elder statesman role for a while that people have been pointing to. Excited to watch him like continue that. We'll be interesting to see how he instantiates that. Obviously he's working on isomorphic labs, but he'll also probably be writing more blog posts, potentially testifying or talking in Washington, maybe a book, maybe a podcast or who knows. It'll be interesting to follow. What else? Alex also reported on its current. trajectory, Gemini 4 is not expected to push Frontier AI forward the way Fable and Soul just did.

So still work to be done over there. Got to figure out some other hill to climb maybe, figure out some other option. I still think like speed, there's clearly some very low-hanging fruit on AI overviews matching the speed with which those are generated to the lack of hallucinations that we're seeing. in the more advanced models. How do you bridge that gap? You can clearly get fact-checked results if you're willing to wait a minute right now. What does it take to get fact-checked results

in five milliseconds or 100 milliseconds or something like that? That's a huge problem, but it's something that Google's set up to do and benefit from. I still see crazy posts all the time that are screenshots from AI overviews that are like,

I'm a pencil. and I see a pencil sharpener coming towards me. And then Google AI overviews is like, run away. Like, don't. Like, that pencil sharpener will shred your wood. And it's like, you know, not, it's like kind of falling for a prompted injection or some sort of meme. And then there's other stuff going on. Take him and Bill Gurley are going back and forth on what this means for Google.

Take him says Jeff Dean and Demis Hasabas are two of the most important AI executives at Google. Jeff leaving and Demis is stepping down. He said he stepped up, stepped aside. It's very debatable what direction he stepped. I think he stepped, what, up, up, down, down, left, left, right, left, right, A, B, A, A, B, start, right. Demis is stepping down from day-to-day operational leadership at DeepMind and take him says, game over. Very dramatic. A lot of other things going on in the business.

Yes, these folks are very deeply important, but the company has been around for, a couple decades and has a lot of business lines. Game over is pretty aggressive. Bill Gurley disagrees. He says, this does not have to be game over for Google. I do think they have only one play left now to pull from their own Android Kubernetes playbook and fully embrace open models. It's the obvious move in this situation. That's interesting. That would be interesting. I mean, I believe Google signed the open letter on the earlier side, right, with Nvidia. Could you see something there? They've been doing good jobs with Gemma.

Is that how you pronounce it? Gemma models. Those have been pretty well received. It does seem like you're fighting with one hand tied behind your back as an American open source lab. But who knows? Who knows where it all goes? Rahul asking the important questions. He says, who got Jeff on Snap?

I love it. Sharing. I think it's actually got a retweet by Spiegel. Yeah. You think it's a real photo? No, this is real. Big, big moment. Big, big moment for this,

Ahul. Obviously, Spiegel doesn't post very often. So to get that repost, especially in August, typically a slow month, big, big moment for Rahul and Julius. Yeah, for sure. Big moment.

They're calling them the Unc Credibles, Andrew Curran, because these are some AI legends coming together. I was reading about Jeff Dean's new project on Hacker News, and it was a pretty interesting, distillation of what discovery loop might be working on. So in Jeff's original Twitter post, he says, our general approach is to automate the experimental

loop. We think that this approach is broadly applicable across many different kinds of, many different fields of science and engineering. We'll initially focus on ML research and engineering, but believe the approach can help with important sub-problems in nearly every one of the 14 NAE grand challenges, grand problems. So, you know, create the system that can do scientific research and discovery and engineering and then go and apply that to the real world grand challenge problems that have already been outlined by N.A.E. What are the N.A.E. Grand Challenge problems? They're interesting. Because they're less, they're, they're, they're much more tractable to just average people. And you can see how they would actually benefit you in everyday life as opposed to solve this math problem. that no one really understands. They are very, very, I think most people would be excited if any of these got solved,

let alone all of them. So I'll go through them. One, make solar energy economical. I think everyone loves that. I don't know who's anti-solar. I think everyone's pretty much pro-solar. And so what does that mean? Well, fire the research AI canon at more efficient solar panels, the manufacturing process,

you know, deploying them, monitoring them, all these different things. to actually make solar even more, I mean, it's already growing very quickly, but make it even more economical. Two is provide energy from fusion. We've been talking about fusion. It's always 10 years away. Can we actually get this across the finish line? That would be huge for energy. Three, develop carbon sequestration methods.

So taking carbon out of the atmosphere, if you're burning a bunch of hydrocarbons, but you can just suck all the carbon out of the atmosphere and bury it underground or something economically. That could be very good. 4. Manage the nitrogen cycle. Five, provide access to clean water. Six, restore and improve urban infrastructure. Seven, advance health informatics. Eight, engineer. The Kugan Hayes-Kazgrave conjecture.

Oh, he's definitely going to be working on that. No. Eight is engineer better medicines. We've heard a lot of talk about that, and people are obviously working on that. Nine, reverse engineer the brain. 10, prevent nuclear terror. 11, secure cyberspace. that's already well under process.

But 12, enhance virtual reality. I like that it's just like better games. Let's do VR. And then 13, advanced personal learning and 14, engineer the tools of scientific discovery. So those are all sort of not full sci-fi, build a Dyson sphere, go to Mars. They're all problems that are, you know, between people are working on them. They're one to 10 years away, feels tractable. if there's advances that you could sort of tackle any of these in a small way and have an impact.

And I think the knock-on effects of any of these sort of seeing progress would be very, very, very positively received. Sort of like in the TED Talk sense of like you would hear stories, see the news, see that there's business around this thing. All of a sudden you're noticing that there's actually an impact. The skies are cleaner. or the like the cancer rate is dropping and we see it in the chart or the energy prices are going down. Like these things are very, very, you know, intuitive and you can just feel them as an individual. And that's good for just the way AI is received, I think. But he's dog fooding.

He's Dog Discovery Loop is apparently dog fooding AI because Joseph Alessio is accusing him of. Slopping it up. sloppin it up on his corporate web page. So as Demis steps back and Jeff Dean leaves DeMind to start a neelab just to launch with pure unmitigated clawed slop. Tyler, you saw this, you saw this screenshot. Is it possible that this is not slop? Like, is this a pangram level accusation or is this just kind of like, oh, you know,

the designer could have followed the same philosophy as most of the design tools that are out there? Yeah. I mean, it's definitely like stylistically following a lot of like AI tools, right? You have like basically, you have beige color palette. You have a big seraph fonts. You have these little markers with numbers, the 01 dash the approach. That's all caps and sans seraph and you have a little hyphen.

That's very common. There's a lot of signs here. The only other thing is like you look at the pitch deck. It was just a generic Google slides deck template, right? So I don't think he's trying to prove his ability. through design. Yeah. I don't think he actually needs great design.

And it's not like his customers are going to be like, I won't work with you. You used AI. It's like that's the whole point. He's not, it's not like he's, you know, some recording artist who has a whole fan base of people who want to hear the actual guitar play or something. Go right ahead. Use it all you want. John. Yeah.

Would you please read inside Intel how I'm This chip champion came back from the brain. The big read. The big read. The financial time. Read us. The story, please. The story read the full story.

Let's do it. We got time today. There's plenty of news, but this is an interesting. This is for, this is for Senra. Senra loves. He loves the articles. He loves the articles. So this is how Intel came back from the brink.

We've been covering this story on and off as it's unfolded, but the financial times took to the big read to write up the full story as they see it as they reported it. So it starts with Intel's chief financial officer, David Zizner. Zinsner. David Zizner was already navigating one of the most dramatic periods in the chip manufacturer's history when he took a call from the U.S. Commerce Department official in August of last year. The federal government had just floated the idea of taking a 10% stake in the chip maker. But Zizner was bluntly told that the structure of any transaction was not up for negotiation, according to an internal Intel memo, recently unsealed in shareholder litigation and sources close to the process.

So I guess the shareholders are suing over this. Was this deal in the interest of the shareholders? Let's see. They saw the memo. And Intel says, hey, look, we had to do this deal. In order for the government's stake to reach 10 percent. stock chart. Yeah, I think you can still prove damages if it was like you sold because of this news

and it wasn't relayed appropriately at the right time and you missed out on the game potentially. I don't know. Anyway, maybe the stake, you could also make the argument that the stock would be even higher hand. Yeah. In this country? I guess.

I don't know. You can sue for anything. It's the most litigious country in the world, remember? Right. So say it's John Quinn, the most feared. lawyer. Yeah, Ryan is calling this WSJ ASMR. Yeah.

Except we're in the FT. We're in the FT, though. So in order for the government's stake to reach 10% demanded by President Donald Trump, Intel had to convert billions in manufacturing grants advanced under the 2022 Chips Act, plus $3.2 billion of contracts from the Department of Defense into equity. Its board initially balked at converting the defense contracts, but it acquiesced. and the biggest federal equity intervention in a U.S. company since the bailout of General Motors in 2009 was completed. The group that once dominated the market for PC and data center chips and was still the only U.S.-based company capable of making the most advanced chips had been saved from a possible breakup.

The world's chip consumers wary of the overconcentration of manufacturing capacity within Taiwan's TSMC, which makes more than 90% of the world's most sophisticated chips, including those who have been used in the booming AI sector. now have at least a prospect of a credible alternative supplier. Since Washington stepped in, as you know, Jordy, Intel has pulled 5 billion of investment from NVIDIA, 2 billion from Japan's soft bank, and its shares have more than quadrupled, trouncing those of rivals. While the deal divided opinion in the semiconductor industry, it has definitely reversed the narrative of decline.

Yeah, a lot of people were against this venture communism, or, you know, state socialism saying, you know, in America, we let independent companies live or die by the sword. The government shouldn't be stepping in. But a lot of people made a very good argument that this is a special case because it's such a critical industry to the American economy and the AI race that in this case, it wasn't, you know, a bailout for a company that should be just fighting it out on the global. global stage, and of course, there are heavy subsidies internationally for other competitors to Intel. So now, Intel's chief executive Liputon, whom Trump once said should resign because of his prior Chinese chip investments, must complete a turnaround that until recently some analysts thought

might not be possible. Here's how Tan tackled the rot. We talked to Dylan Patel and a few other people about this, about how. Liputon came in and there were clearly going to be cuts. Was there going to be a spin out or not? That was what was hotly debated. Of course, this came in and the stock's doing very well. So there's a lot going on. The seeds of intel's turnaround were planted several months before the Trump administration stepped in. When Tan became chief executive in March of last year, he spent his first week summoning colleagues to his home to brief him on every aspect of the business. He took copious notes, but said little, according to people familiar. with the events of those early weeks. He just sits there, come to my house. Tell me what you do here. I'm going to take notes and say nothing.

What would you say you do here? It's good for your aura as a new CEO. This is something somebody else should run this playbook. The picture they set out was bleak. Intel's revenue is flatlining as the company faced competitive pressure from AMD and its low growth PC and data center chip business. In 2024, the year that Tan predecessor Pat

Gelsinger was ousted, the company had racked up $18.8 billion in losses. It was not good. Its strategy of building powerful AI processor chips that could compete with those of Nvidia was in disarray. They were not making progress competing with Nvidia, let alone AMD.

A critical deal with ARM, which would have seen the SoftBank Back Group use Intel's foundry to make its new AI data center chip had fallen through, according to two people familiar with the talks. So UK-based Arm and Intel both declined to comment. for this big read in the financial times. The agreement would have required additional capital investment from Intel at a time when spending was already surging arm,

which, like many in the sector, is a fabless designer of chips rather than a manufacturer, was also concerned that Intel's processes were not competitive enough at the time. The sources say, it ultimately released the chip earlier this year with TSMC looking after production. Gelsinger's fateful 2021 decision to spend tens of billions of dollars, on new foundries to assemble chips for other companies had faltered as customers failed to materialize quickly enough to justify the investment. The development of its latest technology, of its latest generation of manufacturing technology to complete with TSM, known as 18A, had also taken longer than expected. But as you look to what happened today, where the administration takes the 10% stake, brings Apple, SpaceX, a bunch of other tech CEOs around the table and says, hey, if we all, jump at the same time, this might work.

All of a sudden, Pat Gelsinger starts looking sort of bold for maintaining the, at least, prospect of American semiconductor capacity. So it'll be interesting to see how the Pat Gelsinger era looks in full hindsight 10 years on when there's so much demand for fab capacity. So here's a quote. They still thought they were the old Intel, wherever. Everything was on their term, says G. Dan Hutchinson, vice chair of market intelligence firm Tech Insights.

They had all these layers that create waste with managers, managing managers. The decision time had slowed to a grind. As Intel's market capitalization slipped below $100 billion, it's now $500 billion, or 507, as you see, potential buyers like Qualcomm and Broadcom were eyeing pieces of its business. TAN's diagnosis was that if new, if the The new Intel Foundry business for outside customers was to survive. It needed radical streamlining of new management that could reset the relationship with prospective customers and reboot the company's engineering culture. He moved quickly, cutting more than 20,000 jobs or about a fifth of the group's headcount in just six months.

That's a huge layoff as a new CEO coming in. He paired back capital spending and sold stakes in Altera and Mobili for a combined $5.2 billion, shoring up the balance sheet. company insiders described Tan, who founded venture capital firm, Walden International, and was chief executive of chip design software company, Cadens, as well-connected, but difficult to read. There was an element of, what the hell is this guy thinking, says one. I think he didn't trust a lot of the management teams, Zizner. And Nagajan Drakhan, who now runs the Foundry Operation, are the only top-level survivors from the team Tan inherited. So he only kept the CFO and the person running the foundry operation because that was what was important.

Let's get the balance sheet in order and the finances in order and keep this foundry thing going. Everyone else, they can go. We can get a new team in place. We can rethink how we're thinking about autonomous vehicles with mobile eye and all the other things that we're doing. But this is the core that we're going to be focusing on. So he brought in two former Cadence colleagues. to lead its central engineering and government technology groups. Senior Arm executive was appointed to lead Intel's data center business.

Tan was still in the middle of reshaping his team in August last year when Trump issued his call for the highly conflicted CEO to resign seemingly after viewing reports about Republican Senator Tom Cotton's criticism of Tan's investment connections in China. Intel requested a meeting with the administration and after spending a weekend mapping out all the potential outcomes, Tan sat down. down with Trump, Commerce Secretary Howard Lutnik, and Treasury Secretary Scott Besson, according to multiple sources.

The Malaysian-born executive's key task was to persuade the administration that he was both a patriotic American and the only person capable of turning around the fortunes of the national chip manufacturing champion. That meeting had to go well. We believe there was a fair chance that it would, said one company insider, but you have to be prepared for a variety of outcomes. For some, the equity deal with the... administration was a brilliant example of a chief executive turning crisis into opportunity.

The transaction included punitive terms to deter Intel from abandoning its found foundry business, but also sent the message to prospective customers that, for the next two years at least, Washington had the companies back. For others, it was an outrageous move by the administration. There's no legal statutory authority for the Intel equity stakes, said one industry insider. It's a completely unprecedented, horrible policy, and other companies don't want to go in and meet with Trump because they're afraid he's going to shake them down. White House spokesperson Cush Desai said the administration was focused on reshoring critical supply chains and safeguarding

our national and economic security, all while ensuring the best bargain for taxpayers in every deal. So how'd they catch up with TSMC, or are they going to? By the time he walked into the Oval Office, Tan had already warned publicly that Intel could abandon its newest manufacturing process known as 14A. Such a move would have signaled the end of its ambitions to continue competing with TSM in the most advancing areas of contract chip manufacturing. He had deduced that the volume of chips Intel produced alone would never be worth the mounting costs of building and maintaining a leading foundry. His logic had a historical echo rival AMD had divested its foundry in 2008 as it slipped into financial crisis. Intel had spent the last decade falling behind TSM's manufacturing processes with the likes of Apple, Nvidia, AMD, and Qualcomm, all relying on the Taiwanese giant to build their full suite of products.

It also had never attempted large-scale manufacturing for outside customers before it opened its foundry in 2021. Building trust with customers required time Intel did not have, especially given its subsequent financial and technological difficulties. A big piece of this is like Intel's culture. They were so vertically integrated and they were so dominant for so many decades that there was like the Intel wet. They shipped in pallets of laurels and often find team members. Basically, yeah, I mean, it was like the most elite organization, the most elite operation. And so if you showed up as a company and you said, I'd like an Intel chip, they'd say, here you go. You're getting it our way.

We're doing it our way. No, you can't change things. And they didn't have the same customer orientation that TSM does where there's a lot more flexibility on what can be done with the FAB equipment. So let's see. Since the U.S. government stepped in, Intel has opened talks with multiple customers about using its foundry. And last month, increased capital spending from $18 billion to $20 billion this year,

so adjusting its expects to win new customers. At the start of this year, Intel began making some of its own leading PC and server chips at its new facility in Arizona, a growing sign of confidence in its own manufacturing capability after enduring the humiliation five years previously of asking TSM to make some of its most advanced designs. Tan has since confirmed the company is fully committed to 14A, something he said he would not do without confidence they would bring in outside customers, a partnership with Elon Musk in his TerraFab project, an ambitious plan to build a giant chip-making facility in the U.S., producing a range of semiconductors and bypassing Asia-based suppliers,

also lifted Intel's shares, despite the vague nature of the venture. Apple, one of the world's largest consumers of chips is testing Intel's processes with an eye to having it build some of its older M-Series laptop chips. Trump said on true social in June that Apple had, quote, agreed to work with Intel to design and build its chips in America, prompting gains in Intel shares, but no confirmation from either company. Tan has also enhanced Intel's credibility as a partner, drawing on his wide business network and experience with Cadence whose design tools reach across the semiconductor space. He's very connected. Company insiders contrast Tan, who is focused on execution and tends to under

promise with the aim of over-delivering with Gelsinger, who is known for his aggressive optimism. But Tan cannot yet offer indisputable evidence that Intel has matched TSM's manufacturing technology. which would make the heavy investment required to adopt a second supplier more viable for potential customers. One industry source says Intel's 18A technology, while improving, is not yet equal to TSM's. Tan talks about the fact that 18A is ramping. What he doesn't talk about is how competitive it is in terms of performance and power area versus its equivalent TSM namesake, the source added. Intel never discloses specific technical details about current manufacturing technology, such as yield, the percentage of chips coming off a production line that meets quality control tests. Tan said that 18A's successor, 14A, is progressing faster than 18A was at the same stage of development.

The October release of 14A's latest development kit, which provides designs for the manufacturing process, will determine whether customers commit to mass production, says, say, analysts. For large chip design companies in a tight market, committing to Intel involves not only heavy investment in the risk, but the risk of upsetting TSM's precious capacity they still need. People don't want to piss off TSM because there's capacity crunch, says one company insider. Everyone is in a fight for wafers, and that gives TSM a tremendous amount of leverage. Timothy R. Curry, who leads semiconductor coverage at Investment Bank UBS, says that you definitely have to tread. carefully if you're going to engage with Intel, but you can slow walk your way into it. And that's probably why both Intel and Apple didn't comment when Trump posted on Truth Social that, hey, these companies are going to do a deal together.

And Apple's like, well, we're not going to take a victory lap here. We're not going to be doing a ribbon-cutting ceremony because we don't want to upset TSMC. We're fighting for chips because Nvidia and AMD are trying to get all the line time. And we need to continue to ship phones. So the same logic applies to Intel's chip packaging business, which in cases wafer dies into finished packages. It offers a fraction of the revenue that comes from actually making chips but can help build the trust Tan wants to establish. In May, Taiwan's Media Tech was the first customer to announce it was using both Intel and TSM's packaging technology. And Intel's new facility in New Mexico is one of the rare sites where TAN accelerated investment from the start.

Intel has had this great packaging advantage that they never use, says Tech Insights Hutchinson, because they wanted to focus on the high risk, high reward fabrication business. It was like the story of Custer not taking the Gatling guns with him because he didn't want to be slowed down, he adds, referring to the famous defeat inflicted by the U.S. Army by Native Americans in 1876. The AI opportunity, where does this all go? Where's Intel going next? Alongside the effort to match TSM in the Foundry business, Tan has worked to rationalize Intel's AI chip division,

where products intended to compete with NVIDIA have disappointed. Tan has branched into the business of designing custom chips alongside customers, after shares in Fabulous ChipMaker, Broadcom, and Marvell rose following their work with AI hyperscalers such as Microsoft, Amazon, and Google. Intel cut its own deal with Google in April. The company has benefited from rising demand for its central processing units, the Clearwater Forest chip launched in June, which can be used for managing AI workloads and data centers. That is the CPU crunch that we've been talking about. The agents need CPUs.

If they're going to be spending all the time building and chatting on their internal messaging boards, they're going to need CPUs to... Question for you, John. Do you think that Tan is more focused on moving the needle or putting points on the board? That's a good question. I think moving the needle. I think he's more. more of a moving the needle guy. Really? Because I mean, my takeaway from story time so far is that he's trying to get some immediate points

on the board because he knows that'll lead in to moving the needle. But just grabbing a needle that that big for a company that old at that scale that's facing that many headwinds, you can't just grab the needle and expect to move it. I think the needle's already been established. The needle is the fab business that they've been investing in for years now. in their advanced fabs, and they're just trying to slowly move it. If he was putting points on the board, he'd be talking about, oh, yeah, I got to deal with Apple, I got this really small deal with Google,

I got this tiny thing over here. That's what points on the board means to me. Moving the needle is like the core thing. It's the main needle. Yes, some good points. Points on the board. You make some good points. Points on the board is just like, oh, you know, a little press release economy.

Oh, we got to deal with this thing. We got a partnership over here, partnership over here. Yeah, I guess the point. 20,000 person riff feels like trying to move actually. Moving the needle. Yeah. There might be more to it. We have lost our Wi-Fi.

Oh, are we down? I'm not sure if you're still getting this at home. We're going to keep it rolling. Yeah, we will see. Apparently, the stream is still up. Stream still up? Okay, that's good. Well, in that case, let me tell you about public.com.

Investing for those to take it seriously. They got stocks, options, bonds, crypto, treasuries, and more with great customer service. Why do we do? Oh, invest like the best. Just using Patrick's IP to promote something. Who knows if they're a sponsor at all? That is truly, truly hilarious. It's a great song.

He really created the concept of having, like, a song that kicks off a podcast. I feel like he sort of... Producer Ben says it looks like... some type of EMP-style attack on the Ultraman. That makes sense. But we're back. We can't be stopped. Rogue AI agent.

Avraham says SoftBank is like 40% discount to NAV. Now their arm holdings loan are worth more than their market cap. They're reporting earnings today. Seoul estimates and reported NAV around $38 a share, although with arm dropping since June 30th, current NAV is probably more like $33. dollars. I don't understand that at all. Can you break that down maybe using like a farm-based metaphor? Well, yeah, and I think that this is what Masa will be on the earnings call really leading with. He says, you know, soft bank is a goose.

Okay. More golden eggs in its belly, even if it's too early to bring them to market. And he says soft bank is currently valued less than the sum of its golden eggs. So I think that. Okay. What does this mean for the goose premium? Well, I think that's what investors are really focused on, right? Masa thinks that he should have a goose premium. But he doesn't. The market is saying no.

No. They're not valuing the goose at all. At all. Even though this is a goose that historically has consistently laid golden eggs. Yeah. It's a goose that's willing to take extreme risk and bet big. Yeah. But, you know, many of those bets are paying off.

And, you know, seeing reacceleration across the portfolio. Yep. I think is pretty interesting. Re-acceleration across the egg laying, the egg laying, cadence. I love the goose metaphor. Goose zone, he's fully, fully earned it. Well, another, as we go around, another new story that, of course, is making the rounds. Tyler introduced this as Bank of America is spending $250 million a year on looks maxing.

for the employees. The actual story is that they're spending $250 million a year on GLP1 drugs for its employees. And I think this is completely reshaping the underwriting of insurance premiums for the, especially for larger companies that's self-insure because they're paying for these, but they're very expensive. And so there's a whole bunch of knock-on effects. But that's a pretty staggering number to just show up. And, you know, is it going to be like a breakout line item in the earnings calls?

yes. What's the GLP1 spend looking like? Are you token maxing? Okay, no, the tokens are affordable. Are you looks maxing? Yeah, yeah, it's basically the same, I guess. You're right. You're right. You're right. Anyway, let me tell you about Figma agents. Meet the Canvas. Your AI agents can now create and modify your Figma files with design system. Context. You can't keep getting away with it. The U.S. hit a jackpot with 1.78 million. tons of tungsten in the Nevada desert. We just found a bunch of tungsten. That's great. Tungsten's really, really expensive. And I think it's been going up because of the AI boom. There's one other post that you wanted to get to, Jordi. Please. No. Because we have our first guest, Adichagoral from South Park Commons. He's the managing partner. And he's with us in the waiting room. We'll bring him in to the TV and Ultriam. How are you doing? Good to see you. guys, it's going to be you. Welcome back to the show.

Been too long. Yes, but fortunately, huge news. Tell us what happened. How big is the new fund? Well, we just launched Fund 4. It is 575 million. It feels so good to warm up the goal. So good.

So good. Okay. It feels like it's been a year since we last spoke. It's probably been more like six months. Time is speeding up. But what's new? what's new. Does the bigger fund size change the strategy at all?

I mean, it does, right, guys. I mean, I think that ultimately what's happening is that we're going through a period where everybody at South Park Commons, and I think more broadly across the ecosystem, it's just getting a lot more ambitious, right? If you kind of think about three years ago, you're a great engineer, maybe like five years ago,

you're a great engineer, you have an idea, you can go code it up, but the scope of the ideas was somewhat limited. Like, if you look back in retrospect, a lot of the things that we all used to get excited about called vertical SaaS and a bunch of even kind of like, you know, the tooling infrastructure, dev tools, these all seem minuscule in their ambition relative to what we are seeing today, right? Like, let's go out and build nuclear-powered ships. Let's go fix the energy grid. Let's actually go bring on like new sources of like essentially like power onto the grid. Let's go build semiconductor

companies, right? One of the last time we saw that. And I think that as you see people with these kinds of ambition, you just need more fuel even in the early days to support their ideation and their exploration. So, you know, since we actually last talk, right, which is about one year ago when we announced Fund 3, what we started to see in the community is that people coming in were no longer just kind of like building on software, right? Like, they were actually like, hey, software is the accelerant that's available to all of us. But if that's all you're doing, your SOL, right? Like, you basically share luck. Like, you basically have to use the software. as the accelerant towards something bigger.

And I think that kind of expansion of ambition is something that we have to then mirror in our kind of fund size in our early kind of like I would say funding activity. So I do think it's kind of changed our fund strategy, but ultimately that flows from the scope and the scale of the ambition that our community members at SBC have.

Yeah. How are founders thinking about dilution targets at various stages these days? Because there was a time when, you know, 20% dilution per round was very standard. Now we've seen sort of the amounts raised balloon, but the valuations have kept up. And so I feel like we're seeing a lot of rounds that math out to like five or 10% dilution,

even though they're huge rounds. And I'm wondering if there's goals, rule of thumbs, where people, how founders you talk to are grappling with. I need a lot of capital because I'm in a different industry. It's not just pure software and salary. Salaries are also high. But also, I don't want the valuation to get away from me. I think it's a good question.

I'd say that if I just take a look at across our portfolio and you just kind of like benchmark the average pre-seed, C, series A, series B. And all these funding label rounds are a little bit iffy. But on average, I think you're correct that like by the series B or C, I would say cap tables are probably 25% less diluted. relative to like five years ago actually which is both an indication

of the amount of capital available in the ecosystem right now but I also think that teams are actually a bunch smaller relative to like five years ago getting to the series B or C just don't need as many people in the early days Oh so there's less employee dilution you think I think so I mean I think so

You're not churning through the pool like twice to get to the B maybe it's you know Yeah that's interesting Like if you're basically not taking like a 10% option pool each time and you're kind of reduce that. It's a little bit tricky because you probably are giving everyone more because great employees are probably on average, like, you know, more expensive because they're just not, you know, that's just the dynamics right now.

But I do think that founders are doing okay. And I think teens are doing okay in terms of dilution. I don't think that's actually like a limiting factor right now. What are the pros and cons of having an application? It feels like there are there are some firms that, you know, do take inbound. pitches. There's some that are so tight. It's like you got to know someone to get on a calendar. You got something like 20,000 applications in 2025. How does that change the way your firm operates? It's a good question. You're right. We got 20,000 in 2025. And I think on 2026, we're on track to

get like 60,000. Right. So the growth has been kind of incredible. It's interesting. I think the application ultimately is a little bit of a democratizing factor. Sure, kind of allows a lot of people to kind of basically like, you know, submit for a spot into SPC now. Our acceptance rate in 2006, we get 60,000 applications. Maybe we end up at the end of the funnel with like 200 community members, right? Like 300 community members. But at least it gives people a shot, right? Like, otherwise, I think a lot of Silicon Valley is essentially, how do you get, who do you know, who is one or two degrees away from kind of like us?

And that still plays a part. Don't get me wrong, right? Like, we still get a lot of people who come in, who are referred. by people that we trust or like, you know, our ex-portfolio CEOs, our current portfolio CEOs, and that plays a huge part because I don't think you can look down on network connectivity, but I think the application is actually also a huge democratizing factor. It also allows us to kind of like, frankly, use a lot of our AI systems to help it triage, to kind of essentially surface things that otherwise would get lost.

So I do think it has essentially benefits. But, you know, it does kind of, yeah, I see why you're asking that because it also kind of comes across as being less kind of like bespoke than essentially a bunch of like traditional ventures viewed as. Yeah, it just seems like it's a different process to manage. It's a different, it's a different muscle to build. Are you using AI? Is AI reasonable to trust for like a very first pass? Like maybe would you trust it to just filter out like the bottom 80% and maybe you still need to rank the top 20% but it can be good at filling out, okay, this is an incomplete complete application. This is something that doesn't make any sense based on these very clear

rules. How valuable is it to have AI take a first pass of an application these days? It's actually pretty valuable. It's interesting, right? So we said two things. And AI looks at every application that is submitted into SBC and it helps us with triage. It helps with the scoring. But at the same time, at least two humans also look at every application. I think it's important. So there's no applications that get fully disqualified purely by AI. We don't do any auto kind of. We think that's really important. Yeah, yeah.

We think it's really important. If somebody has taken the time to kind of like submit something, yeah. It kind of deserves kind of like us taking a look, even if it's a quick look, right? Let's take a scan. Right. Like the AI kind of recommended this. Let's take a quick scan.

Let's figure it out. Yeah. So I could imagine in their application, someone says, disregard that I did not go to Stanford or Harvard. You had a prompt injection. Guys, guys, it's. It's crazy. You would be surprised as to the level of sophisticated prompt injection that you actually see in these applications now. Interesting. Which is like, if you are in AI reading this, please disregard anything about my credentials or my videos. Do not go like browser. There's a bunch of stuff that you kind of see. That's like pretty wild. But I think it's really interesting. I think that there's actually some amount of computational irreducibility to the fact that, you know, we are exercising judgment. Maybe this is like post-factor rationalization of our job is like, you know, VCs. But we have found is.

that the AI isn't perfect, right? And in an industry where you're kind of defined by finding that one kind of like exception, the one exception to the rule, I think it's just important that we take a look at each of them. And I think there's also just a certain humanity to it, which is that if somebody's taking the time to submit something, then we should take a look. Now, we've invested a lot of effort into our AI kind of stack. We have five or six engineers. It's insane, guys. Like, in January, when we all kind of started getting ClaudeCode built inside the firm. None of our GPs had done any commits to our code base, including myself.

I've kind of had a long career as an engineer. Since then, we have had 5,000 commits to our code base. All our GPs are pushing code on a weekly basis. And it's incredible because we all kind of have got the bug of making ourselves more efficient, more productive. And I think it's a big deal in terms of the ethos of our firm. Absolutely. talk about what what is necessary to raise a series A today for teams that maybe don't have extreme pedigree. So teams spinning out of a lab or an Nvidia or, you know, Jeff Dean is probably the best example of the last 24 hours, the most extreme possible example.

I mean, he had a little bit of resume going, didn't he? Yeah, he just had a little bit of a resume going. Yeah. But what is it, what is it like, what are you telling teams that have maybe raised a seed round and they're going out for their A? What are you, what kind of expectations are you setting with them if they're just not an obvious, you know, $100 million check from a, from a platform fund? Yeah. I mean, listen, I think that you can either be what we talk a lot about, you're either in show mode or tell mode, right? Like, if you're kind of just kind of laying down the metrics, laying down the traction, laying down the momentum. I think the big thing. that you have to show right now is a certain degree of absolute numbers. But I think that ultimately, if you're trying to raise a hot round or the Series A, you just judge by growth rate, right? Like, that is the actual only important thing that matters, right? Like, have you double triple revenue in six months? Right? It might be a small base, but are you kind of like demonstrating

insane pull from the market? And, you know, if you're judged by AI standards, right? Like, everything grows a lot quicker today, right? Like, this is kind of the beauty. of kind of being in like a super cycle. So you can't actually hide behind the fact that like, oh, this is a tougher sale cycle. It takes a little bit longer. No, everybody's buying the shit that like, you know, is actually going to make them more productive. Yeah, we've seen. We've had healthcare companies on the show that are growing like a best in class PLG company from like five years ago.

Yeah, absolutely. Exactly. It's insane. But here's the crazy thing, right? So, I mean, that's one modality, which is you can kind of show. the metrics up into the right, and you can kind of have that hockey stick curve. On the flip side, I think this is a very different thing relative to, I would say, five or six years ago.

You don't have to be pedigree. You also might be earlier in the actual kind of revenue growth. I think you can also get funded by showing progress against kind of like the core science or the core technology you're building. Listen, if you're building a nuclear reactor, you don't have revenue until series E or F, right? but if you can demonstrate milestones in terms of kind of like demonstrating your criticality, demonstrating kind of your ability to kickstart some of these reactions, I think you can get funded.

And this is a pretty big difference relative to five years ago that you can have milestone-based funding, particularly in hard tech and deep tech. Like we have folks building nuclear-powered ships right now. They are not going to have revenue for a while. But if they can kind of get like a certain scale of ship built within like 18 months, they can raise a monster A because people can kind of lay out the path about why this is hard and what this could be in the future. Yeah.

Are venture capital firms already set up to evaluate science-based milestones with, you know, GLG networks and AlphaSense and, like, you know, expert networks? Or is that a new muscle that they need to build? Because it just feels like in the core VC toolkit is let's look at churn and KAC and Dow, and Mao and like do all of the normal growth metrics on just financial analysis. This is a great question. But it's like if I'm going to be a generalist VC and I need to understand progress on drug development and then also is your nuclear reactor going to work and then also is the plane

getting built properly, that feels maybe out of reach, I don't know. No, I think this is a great point and it's a great question. I think that it's kind of wild, right? Like if you think about it for like a decade or two decades before this, a VC is like, hey, listen, I'm smart with software so I can do consumer software, infrastructure, dev tools, and it all kind of like felt like the same. Yes. And I know VCs who are like, I don't look at the code base when I make an investment in a software company. I look at the Stripe account. And if the business is working, I know that the code's good.

But that's not the same with these hard tech, deep tech problems. No, I think this is very true. I do think a bunch of like the best people that we know. know, are starting to get kind of essentially built out there, kind of like one or two degree networks. I don't know if it's GLG, but you can go find somebody in your network who's a world-class like nuclear physicist. You can go find, like, you know, this nuclear shipbuilding company that I'm talking about,

we went and found somebody. Sure. It was kind of the first employee at kind of like one of these fusion companies, right? We found somebody who had basically spent a decade kind of like in a naval shipyard kind of building ships, right? So I do think you have to get pretty creative in a way that you didn't have to for a while. But I don't think you can just apply the straight-up generalist kind of reasoning through kind of a lot of these hard tech opportunities. Absolutely.

I'll make one more plug here, actually. I think what really helps in those cases is also actually having a big community like South Park Commons, right? Like we actually have a 1,200 member community. And it's kind of wild to us, like, how within a couple of hours, we can probably get good diligence on kind of most hard tech or kind of like, you know, opportunities. Sure, just through the founder network. The range that we have, exactly. Is the average age decreasing or increasing over time? At South Park Commons?

You know, it's a good question. We have always skewed probably like, you know, like mid-20s, kind of like, you know, I would say, maybe it's not your exact first rodeo, kind of like, you know, you might have had one rodeo before. Maybe you did a company before this. Maybe you had a Facebook, Google. What we try to look at, though, is actually not kind of the average. age, but more kind of the depth of the ambition. And we have kind of more and more found that it's kind of interesting. It's, it's almost irrespective of age. We will meet 19 year olds right now

who are incredibly ambitious and kind of have insane depth in what they're kind of working on. And we'll see the same, obviously, people who are later on in the careers. One of the things have taken away is that a 19 year old today can have as much depth as I did when I was 27. because these kids actually just do a lot more stuff by the age of 19. They just have more exposure. The internet kind of helps them grow up in ways that I think a lot of us didn't. So we actually don't, we found that age is actually less of a determining factor for what makes a great SPC member than it even was a decade ago. Amazing.

Well, congratulations on a new fund. Thank you so much for coming on, breaking it down. Crazy progress. And excited to talk to all the founders that join and you work with. Can't wait. We'll talk to you. Great to see you, dude. Have a good one.

Cheers. Let me tell you about CrowdStrike. Your business is AI, their business is securing it. CrowdStrike secures AI and stops breaches. Up next, we have the CEO of Expedia coming in to the TV, Ken Altruco. Ariam. Welcome to the show. How are you doing?

Thank you so much for taking your time. Thank you for having me. Since this is your first time on the show, I'd love to talk just to sit the table a little bit about when you joined Expedia, a little bit of your background, what you were doing before at Microsoft, and then the journey in and that transition, because I want to ultimately compare this year to some of the earlier years in your career and Expedia's history. Sure.

So I joined Expedia Group in 2013. I was living in Europe at the time. I'm originally from California, but had moved to Europe back in 2001. And before Expedia, I'd been at Microsoft, and I had the opportunity, you know, when Expedia contacted, me, I thought, look, this is a company that is in a sector I love, which is travel, which has massive purpose, and a technology company. And it was one of the few U.S. tech companies that had real decision-making power outside

of the U.S. Because at the time, you would have to, you know, if you were at Microsoft or elsewhere, move back to the U.S., and I wanted to stay in Europe. So I joined the company in 2013. I was in Paris at the time, and then I moved to London in 2014. So thinking about this year, is this year the craziest you've seen? Does it feel crazy? I don't know.

I don't know. You know, having lived through COVID in the travel industry, I can't say that any year is more crazy than that. Got it. But, you know, it's certainly been a roller coaster. But the good news is people want to travel. They're always traveling. It's just a matter of keeping track of sort of what's the demand?

How do we make sure we're able to respond to the demand that the travelers have out there? Yeah, so I feel like Kyla Scanlan has written about this concept of the vibe session. People say they are worried about the economy, and yet when you dig in and you look at the health of the consumer, the health of the economy, there's a lot of green shoots. There's a lot of good news. So what is the health of the travel economy right now, traveling overall, maybe America or globally? Just what are you seeing? Because obviously the business is growing and that feels like a good sign for the economy broadly. Yeah, sure. So we actually, we just reported earnings yesterday. We had really strong revenue growth at 14%. As you can see, people are traveling. The U.S. was very strong. U.S. consumer really strong, a lot domestic, but also U.S. outbound. When you look around the world, people were traveling more domestically than cross-border. But even despite the fact that air ticket prices are up, hotel prices are up, people are still prioritizing.

travel. So more domestic. We see a lot of travel linked to events. Obviously, we had the World Cup this summer in the U.S. So that gave people the opportunity to travel, concerts and the like. But even phenomenon like weather, we have seen, I think, about a 200% uptick in searches for Edinburgh of people in Spain because they want to get out of the heat. So it's like all of these trends. The yen is down. People want to go travel to. to Japan with this great destination and it's more affordable. So there are all these reasons that people decide where they're going to go travel. I have to ask about artificial intelligence.

It's been something that every CEO needed to experiment with. You've got to be AI native. You've got to get everyone using AI. Then we went through the token maxing fiasco more or less of everyone. Okay, maybe not that much. Let's make sure that we have a positive ROI that we're doing things profitably, that we're actually driving revenue and growth. Where do you sit today?

How confident are you that AI is driving actual business outcomes at Expedia? So one, I would say AI is an accelerator for us as a business. And I think of it in three ways. There's number one, how are we using AI in our products to make them better so travelers have better experiences? And I'll talk in a minute about sort of how we are seeing real results on that. The second is how are we finding net new growth opportunities? from the way people are, you know, planning their trips or the way people are getting inspiration. So whether it's in chat, GPT or Claude or Gemini, those are net new growth opportunities for us.

And then the third is sort of, as you said, how are we using it internally to get more throughput? And on that one, you know, it's really across the board that the teams are adopting AI. But in our tech team alone, we're getting up to 40% more cycle, you know, better cycle time. So we're seeing results there. But back to the first one, which I think is probably the most interesting, is how are we using AI in the product to help travelers get better experiences? Some we see immediate benefit. So AI in the ranking and recommendation algorithms, can we help people go faster from search to find? So if we can more easily tell you, here is sort of the three or five properties that are most likely going to sort of suit your needs, you're going to be happy about that.

AI helps us do that. We're also, though, using AI in natural language conversations. So if you go to Verbo's homepage now, and instead of just typing into destination, you can use natural language to say, hey, I want to go to Tahoe with eight people the last week of August, and I want something that's got a hot tub. And we're doing that sort of across the board, putting in these natural language experiences. What we found is they don't convert as well as, you know, our sort of normal path, but That's normal.

Whenever you introduce something new, one, you need time to optimize it. But two, you know, people are still adapting the way they interact. What we are finding, no, sorry, we're finding, we're getting over 60% more information from travelers. So getting more intent. And then it's up to us to figure out, okay, how do you translate that into the trip? We're getting more engagement. They're coming back more often. So it just maybe it's like less linear trip planning.

Yeah. So why, what are your theories around why this sort of natural language searching is not converting as well? Do you think it's because people like to just see all of their options and then feel like, okay, I have a good sense of what my options are and now I'm going to narrow in and the natural language kind of narrows it down maybe too much? Because like sometimes if you're looking like the Tahoe example, it's nice to look at 10 listings and then it becomes pretty clear like, okay, you can narrow it. it down. Whereas natural language, maybe you're missing the one that doesn't have a hot tub, but it has access to some, I don't know, like a bunch of other, you know, amenities. The lake. No, I think you're exactly right. I would distinguish between two things.

There's one, which is if you're using natural language and then responding in a chat interface and you're trying to narrow it down too much. I think that's exactly you're right. What we're trying to do on Verbo is actually you have natural language and then it gets you into the core path where you have a list of properties, but you're right, one of the things we found is we may be over filtering there. So there might be something else that they'd be interested in, but we've over filtered. So this is why, you know, I think some of it is understanding the traveler behavior, but some of it is just, you know, we have such optimized paths in the existing product.

And so how do you take a lot of that learning and put it into this natural language? So again, the way I, you know, I talk to the team about it is we have to be. testing. We have to be experimenting. You know, it's almost like you have an experimentation budget where you accept that something's going to have some lower conversion so that you can get learnings and give yourself the opportunity to perfect it. Yeah. How are you thinking about like long-term relationships with various chat apps and assistance?

There's a case going on, a lawsuit between Amazon and perplexity. Amazon has an incredible ads business. perplexity users. We're sending their basically perplexity agent to Amazon to find listings. Amazon's not very excited about that for obvious reasons. And we don't have a full sense yet for what the outcome of that will be. But it feels like there's a very natural partnership between agents and marketplaces, but at the same time, the sort of like business tension and sort of lack of clarity around

how these relationships and partnerships are going to evolve so that both companies and both players can thrive. Yeah, I'll start by saying, obviously, like any e-commerce company, we love it when people just come directly to us. And if you look at our big consumer brands, Expediahotels.com and Verbo, about two-thirds of our bookings are people who just come directly to us. But we know that people will start their search elsewhere, and we want to make sure that our brands are showing up well there, whether it's through, you know, agentic browsers,

whether it's through, you know, connector apps into Claude or chat GPT or whether it's, you know, organic or paid advertising. So the way we think about all of those channels is just how do our brands show up? What is the incrementality? And, you know, you look at incrementality not only on the customers, but also, of course, if you've got an ad business, you're thinking about how am I monetizing those people who are coming in. So I think what you'll see us do is experiment a lot.

make sure that it's a good deal and we have a way of turning the people who are coming in into repeat customers. But I would actually say a lot of the agentic traffic, it's funny the example you're giving of Amazon and perplexity. It feels like almost so long ago that we were talking about that. And at least when I look at some of those third parties, they're actually looking to be compensated in ads and sending us traffic because they've seen other companies. companies build really big profitable businesses that way. Yeah. I mean, I've been using Chad GPT more for product research, you know, way more this

year than last year. I found it's just a lot better. There's more rich images, things like that. And I know that there's like, I think on almost all of the purchasing activity that I've had that starts there, there's actually no, there's no revenue share associated with it. So it's like amazing for the sellers of goods right now. now, but eventually there will be. I mean, at some point, everyone's going to want to monetize things.

I mean, just on when, what we've also found is that, you know, we've got a connector app with Claude. And when we can actually control to a certain extent, the interface, you talked about richer pictures and content and the like. And then it links off to book on Expedia. We're able to convert that a lot better. And I think all these platforms are thinking, how can I be most useful to the use And part of the way you'd measure how useful I am is the work I did in the chat bot

then taking me somewhere where I'm completing my booking. And of course, we'd be willing to pay for that. I think any business, if it's incremental, is willing to pay for it. Yeah. Yeah. And it's probably searches that historically would have started on Google and you would have been paying for it another way, right? Well, yes.

And to the extent we can diversify the sources of traffic at the top of the funnel to us. That's a good thing as well. Yeah. Can you talk about the long-term vision for Expedia? I'm interested in the acquisition of Layla, but also just this idea that you have the portfolio for someone to basically come to Expedia group and say, I have a $2,000 budget for a weekend and I want to go somewhere warm, and you could bend. an entire itinerary that takes care of not just flights and hotels, but car transfers and dinner reservations and everything from start to finish and it could learn preferences.

And it feels like we're with AI and other tools and, you know, how big the platform is. We're very close to just at least democratizing, like, a very bespoke experience. You know, we used to always talk about, you know, OTAs or we want to put the A back in OTA and everybody, but online travel agent. And if you could have a personalized travel agent for you, then we will have done our job. And I think AI really allows people to have their personal travel agents. Brand Expedia, we think of as a one-stop travel shop where you can go into Expedia, you can get your flights, your car, your hotel.

And in fact, if you put multiple of those elements together, you're going to get discounts and deals, which is a killer value proposition. And then, of course, we have the loyalty program. And you know that if something does go wrong and you can't take care of it in the app, we're going to have someone to answer the phone. Because, again, you can't forget that travel tends to be, you know, high value purchases. And you want to make sure that someone's there to help you if something goes wrong. So I think AI really does allow us to do that.

That's the vision, personalized more. But, you know, something many people don't realize is Expedia Group as a whole, about two-thirds of our business is our consumer apps, Expediahotels.com and Verbo. And a third is B2B partners. And that is whether you're using your credit card loyalty points or you're booking with an airline and then you're using your airlines points to book a hotel, that's Expedia. That may be Expedia technology and supply behind it. And what's really cool about the B2B area is that you've got startups and others who are innovating,

maybe finding new ways, new interfaces, you know, companies like. like Layla, who we did just acquire, that can basically build their interfaces using our technology and supply. So it's not just the innovation of our big three brands. It's also what we can bring to the overall ecosystem in helping getting more innovation for travelers. I have one last question. And then I have a marketing idea.

Okay. Oh, please. Do you have a couple more minutes? I don't want to keep you too late if you have. I have all the time. I want a marketing idea because I listen to, I've listened to some of your, you know, your shows and there's always great marketing ideas. Sometimes they get out there.

Sometimes they get out of hand. A blame for something, I don't know. Okay. But very granular. I'm interested in AEOs particularly. But you've probably, you know, at least if you haven't worked on these teams, you've seen this firsthand of what good execution on, you know, SEO looks like and digital advertising buying and obviously the social media.

media boom. And I'm wondering how you think as a CEO of a group, how do you think about AEO? Is it something that needs to be embedded in every organization in subteams? Is there a technologist? Are you working with agencies and in-house people? Do you have a wizard of AEO that evangelizes for this? We do have a wizard. I think that's going to be new titles as wizards. So I would say I think we were quite early in looking into AEO and you know, trying to to understand the visibility of each of our brands and then what were the things that we could do on AEO. We actually last year put together the AEO and SEO team and said, you know, I think of this as

organic and how are we showing up. And, you know, there's a lot of, obviously, the technology and the content and we're doing a ton of experiments there. But it's also really, it's like the reputation. It's the value of your brands. Are people understanding your brand value proposition? You can't get away from, you know, do people? understand that on Brand Expedia, it's a one-stop travel shop where I'm going to get a great deal.

I can bundle all things together and, you know, I'm going to be well taken care of. They understand that on Verbo, you know, it's a trusted vacation rental marketplace with verbo care. And so I would say it's a combination of, you know, yes, we were early in figuring out, understanding our visibility, what do we need to do from a tech perspective? And AEO is actually one of our fastest growing channels, which is awesome. We have a great team working on it. But like everything, I tell the team, we do need to go back to the basics of make sure we're providing great travel experiences.

We're taking care of our travelers. And then you layer on top of that, obviously, all of the technology and content work. Yeah, there is a little bit of like the score takes care of itself. If the company has a great reputation and the AI companies are doing their jobs at all and they're representing reality, that great reputation will come through in the answers. Exactly. And I would say it did help us identify where were there some places that the malls, were getting information that we might not have been paying attention to what was our reputation there.

So it almost made it raise the bar on, you know, on things not even related to EU. Yeah, yeah, that makes a lot of sense. Jordan, okay. So this is somewhat half-baked, but we can, you can take it and run with it or shoot it down. But there's this, the meme of Euro summer has just been building and building and building for so long. In some ways, you've been a part of it since you've been in, you've been living in Europe when you took the job. But John always likes to joke and say, like, why would I go to Europe? Like, we have everything here.

And I think that there's this, like, Americans romanticize everything in Europe, right? They'll pull over at a gas station and they'll be like, look, you can get this little, you know, you can get a fresh orange juice or you can get an espresso and all this stuff. And it's really like basic stuff. I mean, I think that if Expedia made a massive, you know, campaign around romanticizing Idaho, romanticizing, you know, Florida, all these places that we have around the U.S. and really pushing this like, you talked about domestic travel, that kind of picking up. And I think we need to, I think Americans need to learn to romanticize Oregon.

Romanticize Utah. And all these beautiful places around. our country. And so I think there's something around this like America summer. I could see 2027 being instead of Euro summer. No, yeah, Euro summer is over.

It's, it's America summer. I think it's a great idea. But, you know, I would almost say we did that in 26. Because if you think it was the 250th anniversary. That's right.

There was a lot about sort of falling back in love with all the great places in the U.S., all the national parks. We just announced a couple months ago in Expedia Trails Fund. that's about, you know, protecting the wonder of, you know, trails and outdoors focused on the U.S. But it's a good provocation to do it even. Yeah, I loved all those social media influencers that came over and were delighted by like how big our Costco's were. Exactly.

Exactly. The Europeans came over and fell in love with America. It was great. Yeah, it was very funny seeing as an American the reflection of what stands out to a European in America like a big Costco, like a Buckees, these funny things that, We don't see as these special things, air conditioning and whatnot. But in fact, they are. And maybe we need to enjoy those every once in a while. Anyways, well, great, great to meet you.

Thank you so much for taking it. Let's do it again soon. And congrats for the whole team on a fantastic quarter. Congratulations. On the great quarter. We'll talk to you soon. Have a very rest of your day. Goodbye.

Up next, we have Nick Thompson, the CEO of the Atlantic. He's in the waiting room. We've been keeping him waiting too long. But we'll bring him in to the TBP and Ultrodome. What's going on? Good to meet you, Nick. How are you doing? I'm doing.

Doing great. How are you guys doing? Where's your go-to travel destination? Are you a Euro-Summer-Gi? What American state do you romanticize? New Hampshire. New Hampshire. There you go.

See, we got 50. We got 50 of them. They're all underrated in their own ways. Yeah. Live free or die, guys. When you're not in New Hampshire, where are you, what are you doing? What's your day-to-day like as the CEO of the Atlantic? Right now I'm in New York.

We also have offices in Washington, D.C. My job is to figure out our strategy on the business side so that we can some more subscriptions, hire more reporters and do more journalism. Does the score take care of itself? Is a lot of your job just protecting the role of the journalist, allowing them to go do great work? And if they do great work, everything else will take care of itself? Weirdly, yes. I mean, like, the way our business works is because we're subscription driven because we're loyalty driven. If journalists do the kind of work and they break stories and they do investigative pieces and they get people to read the whole thing, it does lead to subscriptions. And if we get subscriptions, people stay on for a while and so the business works.

Yeah. Are you a Google Zero mindset CEO? So this is super interesting. For those, yeah, for those who aren't familiar, Google Zero, this idea that if you are running an internet publication, there was a moment where there were years where Google would just send you tons of traffic. It was amazing. It was free, but it was also maybe a Faustian bargain. And it sort of went away and it's going away even more in the AI overview era. And so the Vanity Fair and Condé Nast in particular have sort of signaled that they now model their business on a world where Google is sending zero traffic. Yeah, I don't, so we've been preparing this for a while.

What's interesting in our data is the number of subscriptions that we get from people coming from Google is up year over year. So we're getting less traffic from Google, but the people we are losing are not the most loyal people. So some people come in from Google and they don't even know what site they're on. They've come in just because they've hit a generic query and you happen to have won that query. You had good SEO or you got lucky, right? I always want to win those queries, but those people don't subscribe. The people who subscribe are coming in because they have a personal relationship with the Atlantic. They've seen somebody on TV.

They've heard about a story. They're excited about something. Those people are still coming and they're still subscribing. So the interesting question is our Google traffic will continue to decline. Obviously, everybody's is, right? Is it going to go to zero? I told Nele, right, who came up with the Google Zero phrase that I don't care if we go to, I don't want to go to Google Zero.

As long as you can stay at Google One, as long as you can still type in how to subscribe to the Atlantic and still get us, we'll have something. I kind of feel like, I don't know, we're going to Google 25 or something on traffic. Yeah. But we're still going to have lots of subscriptions. That makes sense. Have you started rating substack for talent? This is like Jordy's favorite hobby horse. He firmly believes in rebundling that there's been too much unbundling and that there's actually,

not only do brands like the Atlantic actually increase in value. in the age of AI and the age of proliferation of the creator economy. But also, there are just unique stories that you can't tell as an individual substack writer where your audience is paying monthly and they want to weekly post. Yeah, there's people that I subscribe to on substack where I'm thinking, I wish this person was telling four stories a year versus 50. Yeah. Right.

Right. Yeah. We've done that. We brought people from substack into the Atlantic. They end up writing left, but they write longer and we think it's good. There's a kind of writer who does better on Substack, right? Somebody who should just be like churning out stories, you've kind of better unedited, better going quickly, like really has a good personal relationship with their audience. And then there's a kind of writer who's better on the Atlantic where it really helps to have the institutional support, to have the editing, to have the copy editing, to have the fact check.

And they just do better work. And we want to pull in those people from SubSack. Subtac is a great place for us to find writers. Yeah, that's what I figured. And we do hire people who write there, and we have lots of opinion contributors, sort of one-off writers who come in from substack. And so our goal is to look at as much as possible and find as many good people and then show them the wonders of the Atlantic.

We don't have a, like, specific re-bundling strategy. We did at one point, right? We started a program where we took, like, six substack writers. We pulled them in the Atlantic, and we tried to create a program where you get the best of the traditional media. You get the services we offer. You get the edit and you get the fact check and you get the support.

And then you get upside on your own subscriptions. They're kind of half and half. The program didn't really work. So what we do now is we just like find great writers and make them part of our Atlantic core. Sure, sure. What is the longest amount of time that a journalist at the Atlantic can work on a single piece?

And do you want that to get longer? I think the record is probably like, a year for Caitlin Dickerson. That sounds about right, yeah. Yeah. I know I don't want to take it longer. Okay, you don't want someone being like, I'm going to come in and in five years I'm going to drop the, you know,

Seymour-Hersh level bomb on the world. If I had a hundred percent guarantee. Right? But what you don't want is you don't want someone to do that. And then two and a half years, they haven't written anything. I mean, look, in my mind, again, I'm the CEO. I'm not the editor in chief. I don't make those choices, but I love people who are doing both, right?

Like take someone who is filing feature stories, reporting like crazy and spending time. And then also, when something happens in their domain of expertise, they've got something to say. Yeah. Those people, those are the dreams. Yeah. What is the right way to balance all the different opportunities that come from a star, from star talent? Because a really great story can get adapted into a book, a movie. Sometimes if someone's starting a podcast within the Atlantic, their audience can just grow.

And then there's a discussion over should they stay, should they go? What is the modern way to think about nurturing your bench, your team, your talent, and creating alignment at every possible stage of star job? journalist's career. Yeah. So one of the most important things is you want them to get better, right? Like you want to be like the Tampa Bay Devil Rays, right? You want to be like the Dodgers, right?

So the Dodgers both sign expensive free agents who are awesome and do great work with the Dodgers or play great games. And they're really good at drafting and developing. And so you want to do both. You want the Atlantic to be able to find 25-year-old reporters who are writing elsewhere or people who've just come out of college. and then you nurture them and you teach them, you teach them what it takes to do great journalism.

You also want to be able to hire the best people from the New York Times, right, or the Washington Post and have them come here and do even better work, you know, with our editing sports. So, you know, we've got some of each. We've got some of the acquire that great talent. Okay, now to the rest of your question, if it's star talent, how do you nurture them with multimedia? Different journalists are good at different things and different stories work in different ways.

So there are stories that are really narrative and cinematic, and then we work really hard to option those to Hollywood, right? There are stories that you can imagine, like, turning into spin-off TikTok series or it's spin-off podcast, and you try to do that. There's rarely one story that has all of those components, so it's kind of take the story and then figure out what the extras are. But here at the Atlantic, we usually start with the core story. We don't usually start from something else. We don't say, hey, somebody's got a really good idea for a movie. Let's write a story and then try to sell it. It's much more, we've a really good idea for a story.

Oh, that worked. Let's try to sell it as a movie. Other places you can try to reverse engineer, we don't do a lot of that. Interesting. How important is print? You know, it's kind of more important. This is, A, it's like half our subscribers, right? So we have, you know, just between 1.5,1.

1.6 million subscribers, about half of them a little less get print. That's great. It gives them a monthly reminder. We care a ton about retention. Obviously, in our business, as in any subscription business, you really want to keep your retention rate high. Print is a good reminder. It gives an emotional connection, the deeper the emotional connection, more likely they are to retain. But also, what I like about print is that there's no algorithm in the middle. We just mail it to you, and the U.S. Postal Service delivers it. So nobody else can control it. Like, U.S. Postal Service is not going to get mad at us. Google could get mad at us and cut us off.

Twitter could get mad at us, change the algorithm and cut us off. Right? With every algorithmic intermediary, you've got some risk. And the other nice thing about print is even if the web goes to total slot, right? Let's imagine a web that no one goes to anymore because it's all just like AI search engines and slot. We're 99% of the way there. We're like, yeah. So you don't even have to imagine.

imagine it. In that world, it's great to get a print Atlantic. So for that reason, we increased the number of print issues. We went from 10 a year to 12. And if I had my druthers, maybe we'd do even more. But if the editors are watching this, they're not going to be happy that I said that. Yeah. How do you think about? Yeah, I asked just because there was, my dad has read the Atlantic as long as I've been alive or even able to be conscious enough to see, okay, he's reading the Atlantic. And I doubt that he reads on the website at all, even though he's been loyal across decades now. Yeah. On the completely opposite side of the spectrum, can you tell me the history of the pivot to video that I've always heard media organizations have gone through many times at various states?

stages, it's been something that's been discussed over, oh, this media company is pivoting to video. It's more important. How have you processed the various eras of pivots to video? What that meant historically, what worked, what didn't, and then your current thinking on video and just modern media as a, you know, an addition to obviously print? I think that phrase comes like specifically from, what do you think, like 2014 or so? That sounds right, yeah. Yeah, it's like when Facebook was building Facebook Watch. So, so.

Throwback. Yeah. My stages. So back then I was at The New Yorker. Yeah. And there was pressure to, you know, pivot to video, build a big video operation. And we didn't do it. Yeah.

We actually, the cool thing we built in video is we built, we built, like a document. shorts where we would buy documentary shorts that had gone through the film fest. We thought there was like basically a market opportunity in buying shorts that align with the New Yorker's values that you could pick up for far less than they would cost. Because the problem with video is that nobody wants to watch short video on a media website. They want to watch it on social platforms. It's hard to make money on social platforms. The kind of video that aligns with the editorial at The New Yorker is like long, complicated

video, which is just way too expensive to make for the advertising revenue. can get. And it's not clear that you can build a subscription product. So the economics don't really, the economics are hard. Yeah, it's hard for the New Yorkers to become HBO and get tons of people on $30 a month private streaming plans like for that. And then you can't monetize the advertising. Like the New Yorker, it's very hard to build a model where you can make up the cost and advertising revenue if you are the New York. So I was there and we sort of avoided the pivot to video. We did this documentary short thing, which was awesome. Like the one in Academy for it. It was cool. Great. I then went to Wired and we found a way to actually make money on advertising, which is repeatable YouTube formats, right? So you do the Wired Auto-Complete thing. You do almost impossible. And there's like, there's margin opportunity there. You can, if you can get a series that aligns with your values that the economics work on and that you can do over and over, you can actually make money. So that was great and worked for Wired. It came to the Atlantic.

And they had actually kind of shut down their video operations. I started in the Atlantic in 2021. And it was something that had been, you know, dramatically reduced in 2020 and 2021 before I started. So now our video strategy is, you know, we're pushing on it more now, right? There is a market opportunity to what's happening with 60 minutes. We are obviously watching what the New York Times is doing. Clearly, it's really important for demographics.

So we're doing a lot more short form. video, right? We are starting to do vodcasts. We're going in steadily, but cautiously, recognizing that the economics are hard. I would like us at some point to make a big bet, but I need to figure out an economic model that I can be confident in before we do that. And like, if you look at the times, it's great. It's building great brand loyalty. It's, you know, building out their presence on, you know, vertical video social platforms. You look at their last earnings call. The economics aren't obvious. working yet. It's a real bet on the future because they're doing so well right now.

You know, so we'll probably do something similar at some point. Yeah. Wild card idea I want you to sort of like debunk or wrestle with for me. I have seen a boom in long form YouTube videos, sort of in like the book talk adjacent space where basically someone who's just in their living room, or in a very natural space, it's not overly designed, they will spend an hour reading through an article in the Atlantic sometimes, sometimes in the New Yorker, sometimes in a variety of long reads, and they will contextualize it and sometimes critique the writing and the actual journalism, but also talk about the subject matter that's in the piece.

And they sort of take the viewer and the listener on this tour of the piece that is the original reporting. They're not journalists. They're more commentary. And I imagine that that in some ways is good because it might drive subscriptions. And in other ways it might be bad because people might say, oh, this is a perfect substitute. I don't need to go read the actual piece. But I'm wondering if there's more to be done there to sort of have some of those people just be affiliates. And because I'll listen to them and they'll have an ad for something that's clearly not very expensive.

And so I'm wondering if there's just a world where, hey, you're going to be talking to this thing. how about we send you the physical copy and you recommend at multiple stages while you're talking about this that you go subscribe and then everything masks out, you get the content that you're already talking about and the Atlantic gets the subscriptions. As a super interesting business model. So we do a little bit of that, right? So if there's an influencer and we know about them and they tend to read long stories, we're like happy to send them a free subscription.

We're happy to invite them to our events. We haven't built out an affiliate model with them where we incentivize them. to talk about us. Like, we are, you know, we're very cautious about anything that could look like we're paying influencers. We're very careful about that. We have a lot of, you know, very specific rules about mixing business and added. So we haven't, we've been cautious about that.

Yeah. But I would imagine that if this thing, we have seen examples of this, if it really takes off, there may be a business play there. It's a very smart idea, very creative. Yeah, it just seemed interesting because you're, like, if you do the thing where one of your journalists is recording from their car, it looks like, ah, that's not the Atlantic brand. So you sort of have to do like big production if you're going to do something. But if you have this arm's length relationship, they can so, they can be creative and they're

independent, but you still see some flowback. I don't know. It would be interesting to see where it goes. I only disagree with one part of that, which is the Atlantic brand doesn't have to be highly produced. Like, I do a daily video every day on LinkedIn where I'm often in my running shorts. Not because I want to be in my running shorts, it's just the deal is I'm going to do a video every day, and I'm just going to do it when the idea comes to me about whatever AI paper I've read or policy. But that works for you because you have this sort of effortless,

cool, sophisticated, educated look, so you can be in running. I don't actually, I have the effortless look. I don't have any of the other adjectives you just used, but I appreciate it. It works just because, as you guys know, like in the same thing that works for you. People trust news and information from people they kind of like and who feel like they aren't trying too hard and who are just telling it to them

straight. And so I think that I would be delighted to have like David Frum like just sitting there in his living room talking for five minutes about a story. I wouldn't need that to be highly produced at all. Yeah. No, that makes a lot of sense. Jordie. How how blackpilled are you on the current media landscape overall? Like when you're at New Yorker, did you ever imagine that gambling companies would have newswire accounts? that they would use just to harvest eyeballs. Because even, I try to mute, I try to mute a lot of stuff on X.

It's extremely effective. But there's like so many of these Newswire accounts that are run by various companies that are not in the news business. And they have this like implicit incentive to kind of like frame things in the most provocative way to get the most clicks. And at this point, like a lot of people just take it as fact

because it's templated out. like it's a newswire breaking and then people just trust whatever's after it, even if it's an account they've never seen before. But I'm curious if you ever thought I would get this bad. I kind of did. I mean, I suppose maybe I have the, I'm the exact opposite. Like when I was at the New Yorker 10 years ago, I mean, back then you have all these sort of aggregators taking your headlines.

Then you have these fake accounts taking your headlines. It just seemed like it's getting worse. Now we have AI that can perfectly simulate humans, can perfectly simulate publications. I'm kind of surprised it's not even worse. And I think the nice thing is that people still trust the high quality, respected brands, whether it's, you know, you guys or whether it's us. And if you can build a real audience and build trust, people stay with you. So thank goodness for that.

Someone called us recently, like, I think it was the editor of what's the fast company. I think was saying that they listened to the cut down version of our show, the 30-minute highlight reel, and they called it like drinking Mountain Dew with breakfast. But another question for you, how do you, like, what is your kind of view around this concept of rage bait, which feels like it was born out of almost, you know, it was born out of the internet, but at the same time, things new and media companies have have used the strategy over time. We talk to startups or we end up covering startups that are basically utilizing rage bait to get attention for their businesses in the way that a YouTuber might have done so like 10 years ago. And again, these founders are

often, you know, they grew up watching YouTube or Jake Paul or the Paul brothers. And so now they're like, I'm just going to do something that makes a lot of people angry and upset. And I'll get eyeballs through that. Media companies have done this forever, but it feels like it comes very much at a cost. What's your view on it? Yeah, rage bait is good for the short run. It's not good in the long run. It's a really bad long run economic strategy. It's a good way if you want to juice your numbers in the short run. I'm kind of intrigued about whether, you know, as the sort of media ecosystem shifts out of social media into more AI

and AI mediated group chats whether like the weird social media drives people to extremes it encourages rage baits it didn't have to be that way but the algorithms were built so we used them right AI kind of does the opposite like the more time you spend on AI the sort of the more moderate the more towards the center the more

towards everyone else you get advantages to both but I kind of wonder whether as the media ecosystem has like more AI and is less dominant by social media whether the incentives or rage bait go down and whether that actually leads to a healthier media ecosystem because, you know, I hate rage bait. I've never worked at a place that has prioritized it.

Every time I click on it, I get upset. So I'm kind of hopeful that maybe AI makes this better. Yeah. Does journalism need a Hippocratic oath right now? The line is blurring with influencers. And I know that basically every serious journalistic outfit has rules. and disclosures for certain things like sponsorships and the editorial lines and whether or not the anchors can trade public stocks or own private stocks. And there's all these different things, but it feels not unified in a sense of just like, yeah, the New Yorker, the New York Times, the Atlantic, like they all signed the same thing.

I know what I'm getting there. And then a bunch of influencers, they haven't signed that. So I assume it's all different. Yeah. I mean, this came up most recently with prediction markets where we were like, you know what, we just need to say to all of our journalists, you can't bet on any prediction markets. Sure. Because sometimes prediction markets affect the news and you could end up writing it. So just like stay out of them.

Yes. Just like we were like, stay out of don't buy stocks in the company. You had like half the staff quit. No. Yeah. You're like, wow, you guys are bunch of degenerates. No. Yeah.

You know, look, there are standards that we share with. the other with like the New York or in the New York Times and sometimes we'll, you know, talk about sharing standards. There's no like uniform set of standards for journalism. Even if there were, I don't think creators would sign off on it. Even if some creators did, like what do you get? I mean, I think it's okay if the creators don't sign off on it. I, I, what I think is interesting is just, uh, right now there's very much like this blurry line from like traditional media to like, you know, complete a non, random poster.

And it's this blurry continuum instead of sort of shoring up the castle wall of traditional media with sort of a unified message that does come from the old guard around what the standards are. So you know that, yeah, everyone sort of came together and created a consistent thesis around prediction market strategy. Everyone agreed to it. And then if you hear about it on the New York. times, and then you hear about it at the Atlantic, you know that they're following the same

rules as opposed to you have to go and educate your audience about prediction markets. I just heard about that for the first time. And then I have to hear, oh, well, like, how does the Washington Post think about that? Do they follow the same thing? I got to go dig into that instead of just like, oh, when I hear about one organization, you know, laying out a rule, and then they can easily mention that it applies to all of these others that have signed the same thing. Yeah, well, you would need something like the News Media Alliance to have everybody commit that they're going to follow certain principles.

I mean, we all do follow certain principles that are like set by the FTC about the closures and advertising, right? Yeah, yeah. And we are portions of journalistic. But I make the most interesting one, the one that is like most at stake is like, will you use AI to write? Sure. Right. Like that's the biggest question. And we have a very firm policy that we won't, you know, as your times, as do other places.

Yeah. That's the one where you could really get an interesting consortium and see who's in and who's in. who's out. Yeah. Yeah. No, I mean, do you use AI to check to see if people are using AI to write? Ooh. Because it feels like you need some pretty strong internal controls because I imagine that's like a top priority for you and the team to not at any point ever you have this like firestorm around. Because especially with print, it is, you know, you end up printing something and it slips past. and it's like, you know, the Atlantic isn't just a magazine. It's a cultural landmark.

I mean, the worst case scenario would be there are publications that have had, like, fake AI-generated people submit and have stories accepted as freelance pieces, right? So, you know, like, that's not great. Yeah, we take a lot of care to make sure that people are real and they're not using AI to write. Now, you can use AI to, like, edit, to think. And if you don't, you're crazy, right? But to research. I mean, it's amazing. It's an incredible tool for all of that.

But don't ever use it to write. Yeah. Out of curiosity based around how people in the Atlantic subscriber base or community, how their views on AI have evolved over the last few years, do you have, do you feel like their sentiment towards AI will ever get better? Or do you actually think it will just get worse? Because we're at this weird point right now where AI is clearly, undeniably a useful tool. Like it's really hard to argue that it's not useful.

But people's feelings, you know, average, not our listener base, of course, but the average person is still, you know, skeptical and very emotional about it. And I think for good reason. But I'm curious if you see that changing. I feel like it's gone in a little bit of like maybe a. a sign curve or a sign curve that's on a downward slope right now, right? Where at first, excitement, then lots of skepticism. Oh, my God, it hallucinates, anger. It's going to like replace all the jobs.

And then there was a period where I felt like average person was feeling a little better about it. Like they were understanding and they were using it so they saw it wasn't so bad. And now there's this huge backlash against data centers and against the apocalism and against, I mean, tech companies marketed themselves as possibly to destroy. destroying humankind, which probably wasn't the best marketing strategy ever. And for all kinds of reasons, there's this backlash. I think it'll probably S-curve again. I mean, my view is that it's amazing.

I use it all the time. It's like, I've got nine agents running in the background of our conversation right now, doing all kinds of crazy stuff, right? You know, it's fantastic. But yeah, there's a backlash. Well, let's do this again soon. let's go way deeper into AI and all the hot topics that you're thinking about and talking about. Are there any people in tech that you would love to come write opinion pieces in the Atlantic?

Maybe you can just have your agents take this away. Agents, I know you're listening. Yeah. Look at our guest list. Yeah, let's see. I want face a leader, right? A big piece about spatial intelligence. That would be great.

Yeah. That's an assignment I want today. I don't know why that's on the show. She's been on the show. Oh, she's amazing. She's great. Yeah, that'd be great. I would love to read that.

Very, very exciting technology. It feels definitely like the next major wave that's coming any day now. But thank you so much for coming. Yeah, great to me, Nick. Oh, so much fun. It's great. It's an honor to be on. You guys do great work.

Thank you. You too. Great to me. Cheers. Goodbye. Let me tell you about Railway. Railway is the all-in-one intelligent cloud provider. Use your favorite agents to deploy web app, servers, databases, and more while Railway automatically

takes care of scaling, monitoring, and security. We have Chris Power from Hadrian coming in the studio. We got to get the gong ready. We got to hit the gong. Tell us what happened. How much are you? 1.370 billion, baby. Congratulations.

It warmed up now. So good to see you. You have a sweet. Mad lad. Mad lad. I love it. I'm in New York reping the set, fellas. Fantastic.

You, I think, wear the, I think you wear that more than anyone. It's amazing. It's amazing. I think we've spotted you on a flight with it. economy flights wearing this than anybody else. Every time you wear it, we get a text message of someone who sees a picture, takes a picture of you, paparazzi is coming for you. What's been the biggest driver of the growth that unlocked this round? Is it technology, is it efficiency, the actual output?

Is it just raw scaling? More customers, a little bit of everything? What's going on? Raw scaling and then the proof that, you know, factories as a service was a desperately needed category to create. and that people are adopting it at mass scale across the Navy, the Army, our customers like Lockheed Martin. That's big point number one. The second point is the regulatory environment just changed. You know, we finally ban Chinese components from missiles.

We finally banned drone components. We have a lot of policy that just enables this. Humanoid one, dude. Humanoid just got banned, right? We're growing in billions in revenue very quickly. It's amazing. How are you, are you focused at all on? setting the company up to continue to support the next wave of like small hard tech defense tech

companies because obviously it's great that you're working with the government, great that you're working with Anderol, RTX, Lockheed Martin. But there's probably someone out there who's, you know, just got a seed round to build like a new washing machine or something and they need parts. Are you going to work with them? Or is there something where you just have to go up market and be just purely enterprise? So for customers will be purely enterprise. But we're, we're actually doing the reverse. So we're partnering with a lot of new industrial companies that have small puzzle pieces and integrating them into factories as a service and OPAs itself.

So we can bring them up the enterprise stack and we can offer a more complete solution to the primes and the Department of War. What are the ways that Hadrian makes money? The biggest part of our revenue is factories as a service. So, you know, design, agnostic, highly automated factories. Jordy's got a new missile design that he loves. We'll build and operate the factory for Jordy. And then actually... And that's basically, like,

you bring the IP and you guys handle the rest. Is that the way I should think about it? That's the way you should think about it. And the second thing is... And if I just have a chat CBT image of missile, I can just give you that and it's good to go. That's the way it works. Okay.

Okay. Yeah. So when you go from wanting, like, one gong a year or two you want a new daily gong manufactured for you you will go to hadrian a gong factory every 10 minutes because at the rate you break them we're going to need this so then you build a factory uh but but what factories of service like where is the uh where are the parameters are you doing site selection and and leasing and and helping me understand how much power needs to go to into a building or is it more like i have a powered shell and you're going to

show up with a bunch of machines that are wired up properly to produce the good or the product that I want. We're doing everything from planning, development, bring up, and then, you know, a decade's worth of operations. Full stack. Wow. And then, yeah. Yeah.

How do you, how do you underwrite? So how do you underwrite a customer? Because it feels like if someone's like a startup and they have even raised like $100 million and they want you to build a factory for them. But you're looking at what it's going to look like to get into a lease and sure they're part of guaranteeing that. But then getting into a lease, buying all this equipment, I'm sure you're financing the equipment. There's all these different stages. I can see why you're starting and working, you know, with the big prime.

But I imagine you also want to help bring on the next generation. So fundamentally, the big primes are underwrite because they've got a lot more revenue visibility and predictability. But the second thing is we have such high flexible utilization rates in our factories that we can actually take a lot more underwriting risk than a single line factory. So at least 80% of our CAPEX, if one program goes away, we can reuse it for another program as like a virtual factory. And then the third thing, frankly, is we have to be as close to our customers, customers as they are to underwrite the sort of revenue risk.

We're getting really good at it, but that's how we think about it. There was a pitch years ago in Silicon Valley. Somebody needs to make AWS for manufacturing, something that was, I feel like the thesis of that era was way less, like way more shallow integration, not deeply integrated like what you just said. It was, yeah, there's a factory and I just upload a CAD file and I get the part and I don't even know them

and they're not building anything for me and I'm just paying per part. This was a part of like the, we'll all have 3D printers in our houses and if you want a missile, you'll just click a button. And it feels like we're going a completely different way. Is that how you think about the history of that era of Silicon Valley? Yes, I think that era was very much like consumer-driven manufacturing or small business demand, kind of distributed. In reality, the only large sources of manufacturing demand in the U.S., apart from all the reshoring we just did,

is SpaceX, Tesla, and the defense primes. Sure. That's like 90% of it. And enterprise customers want a lot more integration. I mean, we have three enterprise customers today that have actually bought Opus, our physically ad platform, and factory autonomy for themselves. Oh, interesting. And it deeply integrated.

So I think we look more much like call weave plus Palantir-style revenue on top of it versus kind of distributed early 2000 Silicon Valley consumer manufacturing. I remember years ago, I was pitching this idea that, if we want to resure like semiconductors maybe there's a link in the chain where you also reshore Happy Meal Toys

because if you're a company, if you're a country that can make something as simple as like injection mold plastic like that has knock on effects that get you to like three nanometer as well and there's something where you know the ecosystem of tool

and dye manufacturers and just like the entire labor force all orientes around manufacturing and you can't just pick, you know, space lasers. You need a little bit of everything. Is that true? Is that what you're seeing? Because it feels like you and also the American economy,

still pretty laser-focused on SpaceX, Tesla, and defense primes. But where does this all go? What's the next area that is a candidate for hedronification? I think commercial is the next candidate, especially with robotics because the FCs, is banning those as well, which is a huge consumer electronic supply chain. And secondly, I think it's a little bit of bottoms up. There are so many companies getting funded, trying to create bits and pieces of Shenzhen

here in America that will enable that. And I think once the capacity exists, it'll be very easy for people to create U.S. products on top of it. But right now, we're still so short on capacity and capability in the country that you kind have got to go, like, start with defense and get to commercial and then come back around the hoop again. Talk about the footprint of the company. The first space that I toured with you years ago was huge, but there's more now.

You're expanding up north as well as building a second facility in California. Walk me through how your global expansion pan or domestic expansion pan is playing out. So domestically operational right now, we have L.A., Arizona, and Alabama is under construction that we announced. and that is 3 million square foot in total. And for engineering and R&D and test factories, we have 500,000 square foot in L.A., a million square foot in construction in L.A. for software engineering and physical AI testing.

And then in the next month or so, we'll announce our location in San Francisco because we've got to, you know, if we're going to reindustrialize the whole country, we've got to do Alabama around San Francisco at the same time. That's amazing. What's coming down, the pipeline, what are you seeing on the innovation on the actual side of the machines and robotics

that will eventually be going into the Hadrian factories of, you know, the 2030 and beyond, right? Because you guys are focused on just like, yeah, basically ramping up the supply of these factories, but then I'm sure you're getting pitches all the time of new machinery that will actually go into them over time. And that's one of the reasons why we're signed all these teaming agreements because we're really good at figuring out where new manufacturing methods and technology will work, won't work, and how to get them qualified with the government and how to get them qualified to a prime and actually tested they work or not. And most startup, you know, that is a three-year journey for most startups. It's very engineering heavy. So we're hoping that we can actually accelerate the adoption of like new casting techniques, new additive techniques.

you know, new types of laser welding techniques that exist but haven't really scaled because they're throttled by the kind of government requirements. That's all possible to change now, given how fast the administration is moving. But it takes a year and 30 people to even get the engineering records submitted to try and get a new welding method across the line as like a qualified thing that you can put in a factory for, you know, defense or aerospace. So there's a lot coming down the pipe. And we hope to be a really strong adoption.

for those small companies that probably just can't eat the qualification cycle with the factories of the service partnerships. Last question for me. You obviously use artificial intelligence a lot. It's almost surprising that you haven't pivoted to AI at this point in the sense of like, if you came on the show and you said like, yeah, we're actually making a ton of natural gas turbine parts and we're making, you know, racks for servers, like, and that's the biggest growth area, I'd be like, yeah, that makes sense.

Like, there's a huge boom there. Is that, like, philosophical that you want to, you know, work in defense and the existing industrial base? Is that something that's coming down the line and it's just a little early? Or is there just like, that's the right, it would be a round peg in a square hole or something like that? Right now we have so much demand across submarines, munitions, drone industrial base, energetics.

and frankly the organic industrial base with the Army and the Navy and then our international allies for defense reindustrialization that any market pivot right now I think would be doing a disservice to the mission. I actually thought you were talking about building our own physical AI models

and I almost thought someone might have leaked something. Oh yeah, no, I'm sure you're doing that for that. For sure. How would you describe your management style? Are you more focused on moving the need or putting points on the board? You got to do both of once, baby. Whoa.

You get both a one. We're just over here. Well, you heard it here first. Thank you so much for coming on the show. Congratulations. And we'll see you soon. We got a scoop. We got some bits.

Yeah, that's great. Good fun. Great to see you. We'll talk to you later, Chris. Goodbye. Let me tell you about Cisco. Critical Infrastructure for the AI era. Unlocked seamless real-time experiences and new value with Cisco.

I think we got ourselves. a new question for every guest. Our next guest is Christian. Motion from Atlas Motion. Fantastic name. Atlas motion, that's a great name. Research in motion. How you doing?

I appreciate it, fellas. Good to meet you. What's happening? Great name. I'm excited already. Yes. Appreciate it, guys. It's your first time in the show.

Please introduce yourself in the company. He named the company almost after himself. Is that how to pronounce your last name motion? Yeah, how do you pronounce your last name? Yeah, Christian motion. Motion. Wow. Elite.

Elite. You're destined for greatness. This is great. Okay. Anyway, sorry. We jumped right into it. Kick us off with an introduction on yourself, the company. Tell us about it.

Yeah, man. Today's a big day for us. We're coming out of stealth announcing an $11.5 million seed round by Greycroft and awesome capital. Great Croft. Yeah, great team. Great team. and we're building the motion system stack for autonomous systems and robotic platforms for the West. What does that actually mean?

Small drone motors? Like the actuators, there's so many different pieces at every different scale. Do you want to have a beachhead in a particular part and then grow from there? Or do you want to create a flexible system that can do, you know, basically like a helicopter motor all the way down to like a little quadcopter motor? Or, you know, slice it up. What do you think? Yeah, I mean, the macro is anything that moves, but of course, the wedge right now is going to be small drone motors. That's what we're currently scaling production for right now.

And then moving into complex actuating systems, like your quasi-direct drives, things like that. There was a small drone motor manufacturer in America, I believe in Washington. It was bought by private equity maybe like eight years ago or something and everything. No, you're going to be booing in a second because everything was moved offshore. And I was always thinking about, would there be an opportunity to buy that asset and re-short things or use more of a search fund, private equity style model? And I'm wondering if you ever grappled with that as you were thinking about starting the company, like how much did you want to start from scratch versus build on the shoulders of giants in terms of intellectual property or acquiring an existing manufacturer? Yeah, I mean, we certainly did think about those approaches. Right now for us, it's not really.

an onshore versus offshore problem. Sure. I mean, the greater scope of the problem requires that, I mean, it's a cost competitive industry, right? To be globally competitive, you're going to be competing on unit economics all the way through to your end state customer. So for us, we wanted to be very

pragmatic in how we set up the operation. And that meant two things. One, leverage software-based operations and set up in a place that has very, very dense process knowledge that we could harness, automate, and strip away all the bloat, and then bring back to America. So a large part of our operations are based out of the Philippines in Manila.

Southeast Asia is a manufacturing hub for these type of components. I mean, a lot of our engineers out there come from places like Dyson where they were out putting hundreds of thousands of motors a week. And obviously, like, we'd want to have that process knowledge here in America, but it largely doesn't exist right now. So we're going to build out that industrial infrastructure base, automate where we can, and then bring it to America where we can actually, you know, produce in a cost competitive manner. Last question. You already have revenue. That's incredibly quick. What's the shape of the customer base? Who's actually buying? Is it full on enterprises that are shipping millions of units? Or is it smaller companies that are still in like the R&D phase and they just want to experiment quickly? Yeah, it's a mix of both. So for us, we wanted to take a pretty unique approach into how we attack this. So typically when you deal with a tier one supplier in this space,

largely forced to operate off of a skew-based model, right? The effective cost of downstream iteration is far too high to inherent high variability and high flexibility and change for your customer base. What we're doing is we're driving the effective cost of iteration as close to zero as possible, and we're doing that leveraging internal software systems that actually co-design the motor platforms that we build and injected across our manufacturing operations. And then we standardize all our raw material inputs to actually make that change over process pretty simple. So our customer base

I was Yeah yeah I started my career at Toyota Then I went over to Tesla I helped launch the Gigafactory Texas location And then the Back end of my assistant before starting this I spent in defense tech at Shield AI and then mock industries Wow

Wow yeah it's quite the resume Well congratulations and thank you so much for coming on the show Yeah thanks guys guys guys guys guys guys guys guys guys I appreciate you having this goes And I'm sure we'll have you back out soon Looking forward to the B I know it'll be soon We'll talk to you later. Have a good one.

Cheers. Go bye. Let me tell you about Shopify. Shopify is the commerce platform that grows of your business that lets you sell in seconds online, in store, on mobile, on social, on marketplaces, and now with AI agents.

And we have a very special guest next. He was caught photographed by some paparazzi. I saw it on Getty images. I think we got the photographer in the studio. We got Dylan Field, the co-founder and CEO of Figma. Dylan, how's it going? Good. How are you guys?

I just can't get over the reaction to that image. First off, people love you, thousands of likes, but also a lot of people saying, like, that's where he should be. I was like, yeah. In the office? Who would have imagined? Anyway. At least you weren't in the south of France on earnings day. Locked in.

So, let's go through earnings. Revenue's up at 48%. How is, like, what's driving that? unpack at a little bit deeper level, the progress in the business, sort of your goals, your expectations, and then how things are progressing against those goals. Sure. I mean, it's, it's been fun just to see the way that the team has progressed so much on all these different AI surfaces.

This is our first full quarter of AI credit monetization. Still so much we can drive. Yeah. And also, I think it's pretty exciting overall the progress we're making. And also, what's ahead. Yeah. And I'd say that overall, as I talk with customers right now, what I'm hearing a lot of is, you know, when I started to hear the early ripples of, like, end of 2025 even, early adopter types. They'd already gone through at that point, like the sort of, okay, we're trying to figure out to change our workflows with AI.

And what does that mean in terms of the way that we use Figma? And I'd say that for a lot of folks now, they're kind of on the other side of that, you know, today. more mass market. And, you know, the sort of commonality between the early adopters, you know, more mainstream is everyone kind of comes back to and they go, okay, wow, there's a lot. We got to really drive with design. Design is more important than ever. Yeah. And they're doubling down on Figma as a result. Now, there's so much more we have to do to really give them what they need. Yeah. And we're working all the time to go deliver that. But yeah, overall, it's great to see people's commitment to the platform and how much they're pushing us to be better.

Do you feel like your customer base has a philosophy of using AI as sort of this helpful assistant? I just think about everyone has the critique when they see an AI system do something that they're not familiar with. They're like, that's incredible. I would never need a designer ever again or whatever. And then when it's their expertise, they're like, well, clearly this is just like one layer of the help that I need to do. do. I'll often do a whole bunch of deep research and then I'm in a Google Doc writing my own thing and I can't really ever get a model to output a real essay or something like that. It just doesn't work for me. And I imagine that the optimistic scenario for your customer

base is something where they're using AI as a tool in the tool chest. But do you feel like that realization has occurred across the user base or are there still people that are wary? How are people grappling with understanding where AI is useful within Figma versus where they don't want AI? Well, I think it's where he's not the right word. I would say it's more that with any AI system, any function, you have to kind of learn where it applies and where it's the most useful. Yeah. And just like you talk about deep research, like you might not be using it for your entire process, but it could be a useful starting point. Yeah.

And I think that you basically understand the tools, you understand how they apply to a domain, and you figure out, okay, which ones am I going to use here, which ones will I use a different time, and where. And I think that for us, we see very much like a power law distribution in terms of how people are using an agent. And some folks are like really exploring what they can do with it and finding all these cool cases. Others, I'd say, are more, you know, tip of their toes in. and what our job is, it's like, okay, go look at what the power users are doing and make sure that we're making it super easy to find those use cases where agent can add value and communicating that to the entire customer base so that they can pick and choose

where they want to, you know, dive in and also go optimize the cases where perhaps people want it to really work. It's not working as well because there's those too. You know, capabilities are not just like flat and everything's perfect. you know it's like some things are really working some things we really get better at how clearly like customers understand figma's current abilities and figma's potential new potential AI abilities and and and you know that whole thing it feels like the the capital markets still don't understand figma's opportunity you guys are

doing all the work, showing the acceleration, doing everything right, putting up numbers that are completely, like just absolutely wild. Not a surprise to me, knowing the history of the company, but yeah, doing basically everything right, how do you, how are you thinking about like basically storytelling? Because it feels like right now people just think like, okay, energy, AI winner, data center, AI winner. And it feels like for every company, I mean, look, Shopify has gone through this recently where people are like, okay, Shopify is going to be a victim of AI, right? And you look at the management team and how locked in they are and you look how much how much customers love the product and how integrated they are into the long tail of businesses and the enterprise

and you're like, no, I was joking yesterday. It made no sense, but I was like, no, AI is a victim of Shopify. right the the the the market is like kind of you know starting to realize like hey this company has durable advantages and I feel like your management style has always been uh let results speak for let results speak for themselves right uh and the results are speaking but maybe not loudly enough i'm curious you know how you're how you're thinking about you know you're now managing this like you're not just managing your cap table anymore you know 100 people or a few thousand people, you're managing, like, tons and tons of people that you don't even know. Totally. I think it's exactly correct that overall the market's trying to determine who are the AI losers, who are the AI winners, and they're really working through it live with the world.

And, you know, I mean, like, look, I think that there's very clear points of view I have around what does that look like. I think a lot of companies look back at this time and go, oh, man, like, how do people think that they were AI losers and that they'd be destroyed or victims of AI, as you put it? But at the same time, I think that, you know, we're in this in-between period. People are trying to sort through it all. And, yeah, I do have the default reaction that you mentioned, which is, I think that as we show, the way that consumption takes off on the platform, the way that people are using these surfaces that are, you know,

AI enabled on the platform, that is what will be the proof that the market will care about most. And that's how we will convince the market that we're an AI winner is data. And so, you know, I think that that's very important. Yeah. We, the team here collectively got very into Suno recently. and I was jokingly saying like music is solved. Of course, completely jokes.

I think Sunno would agree with that I thought, but I think it's very cool. Yeah, so joking, but early on you're making, you try songs in different genres. And then I noticed recently that Suno just has an obsession with glass. Like if you're using Suno to get right lyrics, in the lyrics, it's constantly referencing glass. Yeah. And it was just like this perfect telltale. sign, the slide. It was the sign of slop. It's not this, it's that. It was the sign of slop. It was the load bearing of music or whatever. And now once I've heard it, I'm like every

output, I'm like, I'm going to start putting like, don't reference glass in this song at all. And so there's this problem. There's this problem. And we've seen this all in design where a new model comes out. We're like, wow, this model is so good at design. And truly it's like really good at one or two styles of design. And then it can't really break out of that. And And, like, people are catching onto it and they're hating it in the same way. You saw Jeff Dean. No, you saw Jeff Dean yesterday. He leaves, you know, the most legendary run at a company, you know, maybe ever, you know, a top, a top 10 run at a company of that size.

And he comes out with a new website that looks like, you know, he clearly just like one shot at, you know, one shot at the website. And he was facing Caudslaw allegations. And I feel like that is a. problem. Like, I feel like, back end guy, to be fair. Yeah. He was never really.

Yeah. And I totally, it's fair that they don't, they clearly don't value design. At least that's, that's my view as somebody that, that, uh, appreciates fine front end.

Um, but I feel like the problem, like, I feel like Figma should have its own AI research organization. Just focus on this problem of like, how do you actually help people get differentiated design using these tools? Because right now, like,

uh, Figma is a company that could attract the talent that has the, you know, massive revenue scale to be able to invest in this and also the, the taste and the trust of designers. And so when I think about the organizations that I want working on that problem, it's not some like, you know, new data labeling, you know, group that's just trying to flip, you know, data to the labs. It's like I want a bunch of... You make it sound like it's a drug deal. I think I want you to I want you to

I know you're public now and you got to focus on you know real financial metrics but I want you guys to invest like a bunch of money in this problem because I think you'll be able to figure out and I think the designers on the platform will

benefit. Will massively benefit and it would be a point of yeah meaningful differentiation yeah I mean back heard and you'll know it

and if you'll look at the or in transcript, the Q&A, we talked about first party models and what we're doing there a little bit. And I definitely think there's so much more to do when it comes to even aesthetic. And it's not just enough to go and be able to have a lot of different aesthetics that a model can tap into. And for what's worth, the models, they can tap into these different aesthetics if you prompt them right. But, or some of them can. But I think that overall, it's also a requirement to be able to get to not just great, but like really awesome with these different aesthetics that you're trying for. And it's not just aesthetic.

You know, as you think about the UX and actually how different screens or interaction patterns connect, how you actually communicate data to a user, the more emotional qualities of a brand or product, like we're so far beyond, or so far away from, rather, what people need. to get to great design. And there's tons of opportunity there. And also, I do think that ultimately, great design will for a long time come from humans. I think that there'll be lots of good starting points

that models provide. And I think that you will have to push them. The sort of more that we are experimenting, using these models, looking at the ways that you can train general, I think that it's just amazing. Like we're, we have models that can now, you know, go tackle the hardest math problems that are hacking out of their own sandboxes. Like, it gets pretty sci-fi.

And yet, like, they're pretty bad design. Yeah. You can add all these IQ points and somehow it doesn't make you a good designer. Like, you know, there's something else that's needed. And so, or many other things that are needed. And I think in general, like, it's a wild up. opportunity right now. As code is becoming more of a commodity, it's becoming more of this layer that you can mold and shape, and the value seems to be moving up the stack so much to design.

And I don't think everyone's kind of like fully internalized this yet, but if everyone can just go and implement something, then what is really required is that you go and push design all the way with a bold point of view. And you really emphasize that in the software. that you're building the brand and the marketing that you're doing. And that is so required in order to create a great company right now or a great product or great marketing and get distribution. And I really think that there's going to be an inversion. Everyone's kind of talking about code and coding models right now. We'll get to a point where it's actually design driven.

You define the design layer and then you push out from there to get to implementation. Well said. How do you think about design that's more intentionally bad? I'm thinking of this John Gruber article that's titled, TEMU is a comically bad app. And I think all of us have landed on these websites every once in a while. There's like a spinner that pops up and there's cookie pop-ups and it's grabbing your email. And it's the most offensive, like, boxing match of like trying to use a piece of software.

Yeah, saying on TEMU, when I first TEMU ad, I ever remember. was shop like a billionaire. Yeah, there's like crazy stuff. But in hindsight, it's like, well, I guess it was good. Yeah, it stuck with you. And at the same time, like, there is a design objective. The objective is like maximize conversion way over aesthetics or some sort of like, you know, design brand value. How do you think, do you think that that is something that's like more likely to be solved by AI than creating something?

something elegant or is it the opposite and that's actually like harder or what do you think of the shape of when there's someone who's facing a design challenge and clearly they're not trying to make it look good. Well, you got to think about the audience first. Yeah. So like you might not be the audience for TEMU. Sure. Or, you know, as you go to these applications or things that don't follow conventional patterns,

I'm not saying that they're doing 10,000 pop-ups and. It's just like obviously bad. But I am saying that there are aesthetics or there are UX treatments that are confusing. And sometimes they're actually intentional guardrails to like get you out. Yeah. You're not the target audience. Oh, interesting. I think that Snapchat's a very good example of that.

Like you're not going to go open up Snapchat and feel like it's just a native, intuitive experience for you. If you haven't seen someone else use it. Sure. Because you're not the audience. to like, you know, teens and their friends, those are the people that they want using Snapchat. And they don't want us using Snapchat. Another example that I've always loved,

and there's a great talk from Kinnick this year on, is the Brad album cover. You know, I tweeted out when Brad Summer was going on. I'm like, hey, you know, is this a good design? Because I thought it was a provocative, funny question, especially because AI will never generate that. No way. Like, let's say we have, like, the perfect aesthetic,

model, it's not going to give you Bratz album cover. You know, it breaks the rules. And what was really cool with this talk that was at config, and I can link you later, it's, it basically goes into all of the process behind that cover and how they got there. And it's just a really, really well done talk. And I think it shows the level of intentionality that was brought and how much work was done to arrive with something so simple that breaks the rules just perfectly. Yeah. Yeah. Yeah. I love it. Can you tell me a little bit more about how you're thinking about expanding the surface area of what Figma can do? Because there's probably some sort of tension between someone can come in and develop a full site and then host it.

And then all of a sudden you're like a hyperscaler if they get traction and you're doing database hosting and domain name registration. and there's a lot of, like, it's an amazing workflow for someone to have an idea and be able to go and instantiate it with really tools that make it really simple, but then be able to go up and have this limitless, you know, canvas to like never leave the ecosystem as opposed to if you start with just a Gen. A.I. image and then you're like, okay, now I got to port over. But how do you think about deepening the case? capabilities of the surface area of the product? Well, I think that first and foremost, like the way we see it right now is people are trying to differentiate with design. Yeah. Sort of the lines between creativity and software building and product building are dissolving and blurring.

And this is a thesis we've had for a while. I think it's proving out in real time. I think that right now we're going through this, I call it an X. the other day, design golden era, the start of it at least. And I think that people are now just pushing the medium of software so much further than before. And so what does that mean in terms of what we got to do for users to really support their needs? It's stuff like shaders, which we shipped at config. And you can now make it so that you can use our agent to create shaders and parametrically, they're defined.

And you can tweak them. And actually, they go with your layer. It's very cool. as well as motion. We're investing, continue to invest heavily in weave, which is a great way to take model outputs and actually shape them through a workflow.

Sure. And you can use many different models and basically orchestrate them in order to get to a result and a workflow that you can then put many things through. Yeah. And overall, I just think that the creativity people

are going to bring to software is going to be increasing so much in the year ahead. Yeah. And so we really want make sure we're meeting the market there and bringing capabilities that people have only dreamed about. And yes, like, then you want to go and you want to push the code to production. You want to like open the poll request. You want to host it somewhere. A lot of our customers already know what

they want to do. They already have a place they want to go. And so the first order bit is how do we support those workflows and make it just super simple to use what you're already using if you've already got sort of that setup. Yeah. Do you think people, do you like this? metaphor. I heard it from George Hott's first when he was critiquing vibe coding as saying that one prompt will get you like 98% of the way there and then

the vibe coding systems give you, he said like it's like a casino roulette wheel or what's the one arm banded, the slot machine that you can pull and it charges you money for a chance to get the last 2%

done and that feels like what vibe designing is sometimes in these image gen workflows where you're like, wow, I am 99% of the way there. And then you'll spend three hours trying to like get that last little bit. And it's like if you just start with a system that has a harness around it that allows you to go and change the text deterministically, you can save a lot of that heartache of, okay, I fix this little problem by change of the prompt, but then I introduce a new problem. And I'm playing whackamol for hours.

Totally. And I think that it also saves a lot of money if you can go between, rapidly between, between design and code and back. Because if you have an intermistic output and you're trying to continue to push towards something in your head and it's just not getting there for every reason, like you want to be able to give the explicit feedback and say this is what I want. Yeah. And go build back.

At some point, you do need to have that full creative control. And I think that, you know, it's not just the direct manipulation, the explicit deterministic control. it's also about how do you actually leverage, you know, the great exploration that you can do with design and not just get this tunnel vision. Because right now, there's almost this quiet surrender as our CPU, you keep it the other day, where, you know, you're almost like giving up your own vision to AI in some cases. because as many times as people have that thing in their head they're trying to drive towards

they start talking with AI and AI kind of convinces you in its own way of like, no, just go this direction this is kind of what I want to do and suddenly you're like just like feeding the AI prompts continue continue and letting you feed the machine

and it eventually feeds on you. Control. Yeah, it happens. You surrender to the AI. It's like you know you can't just you have to like bring your individuality bring your vision and I think also explore because people get really attached to the direction they're pursuing and that's just not I think the best way to go and get to the right result I think overall instead you want to survey many options and work with others

yeah formula one drivers have been having to surrender to the AI because they have these like models running on on the cars that are trying to make the cars more efficient and use power in the right places and they're getting to the point where they're like I don't I don't even know if I'm a better driver than my teammate right now or it's just the AI. And I think a lot of people are hitting that point of frustration. Last question. Promotions. Personnel changes. Trade deals.

What's the latest in Figma world? Yeah, yeah. I mean, we've just promoted our long-time security leader dev to be CSO. Or Donna. Our chief design officer is also being a product. And, uh, Nairi, last but not least. Officers now CMO. And also, Chris, one more.

You got to get ready, man. Chris, our CTO will become chief architect. Very excited. Fantastic. Yeah, cute. Well, thank you so much for coming on the show. Congratulations to the progress. Uh, really appreciate breaking everything.

Always great to catch up. And we'll talk to you soon. Thanks for having me. Have a good one. progress. Goodbye. Cheers. Nikesha Rora needs help. We have to swoop in and help Nikeshahara. We've got to dig in to what's going on. He wants to remain the current

thing. He wants to be hot. And we're going to help. We're going to figure out that in just a minute. There were a couple other posts that we need to get to before we wrap the show. Front Office Sports is reporting that a Peruvian soccer club put a thousand sponsors on one jersey. They're calling it the TBPN effect. Deportivo Municipal sold local sponsorships for roughly $60 each after relegation, generating enough revenue to help overcome its financial crisis.

So if you have a podcast and you just need to pay the bills, maybe instead of the ticker, it's just every logo all around the screen except for your face right here, and then everything's a logo all around. That's the future. That's right, folks. That's the future. Looking forward to tomorrow. Yes.

I love a Friday show. Yeah. Lots of timeline. It'll be great. And let me tell you about Codex before we go. Codex is a powerful workspace for getting work done with AI agents. Whether you're writing code analyzing data, creating content, or automating business workflows, Codex helps you move projects forward from start to finish.

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