TBPN - Something Mini is Coming, Anthropic's $20B Round, Ackman’s Meta Move | Bryan Johnson, Andrew Huberman, Matthew Zeitlin, Joon Sung Park, David Risher, Todd McKinnon, Alexander Ksendzovsky

Episode Date: February 12, 2026

Sign up for TBPN’s daily newsletter at TBPN.com(02:05) - Something Mini is Coming (10:28) - Anthropic's $20B Round (20:11) - 𝕏 Timeline Reactions (28:51) - Where the WB Deal Stands Now (36:44) - Higgsfield Accused of Ragebait (49:20) - Ackman’s Meta Move (01:03:54) - Bryan Johnson, a tech entrepreneur and founder of Braintree, is dedicated to extending human lifespan through his "Blueprint" protocol, which includes consuming three tablespoons of high-polyphenol extra virgin olive oil daily, accounting for 15% of his caloric intake. In the conversation, he discusses the health benefits of this regimen, emphasizing the importance of specific types of olive oil for longevity, and introduces his "Immortals" program—a comprehensive, data-driven health initiative designed to optimize biological age through personalized protocols and advanced monitoring. (01:34:01) - Matthew Zeitlin, a correspondent at Heatmap News, discusses the significant energy demands of data centers, noting that large facilities can consume as much electricity as entire cities. He highlights the challenges utilities face in meeting this demand, including the need for substantial infrastructure upgrades and the potential impact on electricity prices. Zeitlin also addresses the environmental concerns associated with data centers, such as increased emissions and water usage, and emphasizes the importance of balancing technological advancement with sustainable energy practices. (02:03:14) - Joon Sung Park, co-founder and CEO of Simile, discusses the company's development of a foundational model of human behavior capable of simulating society at both individual and population levels to predict outcomes. He highlights applications such as enabling Fortune 500 companies to interact with agents representing real people, allowing for more accurate market predictions and decision-making. Park also emphasizes the potential of these simulations to model entire markets or nations, aiming to enhance policy and product development through a deeper understanding of societal dynamics. (02:15:15) - David Risher, CEO of Lyft and co-founder of Worldreader, discusses the company's record bookings and profits, attributing this success to a strong focus on customer satisfaction. He highlights Lyft's strategic initiatives, including international expansion and the integration of autonomous vehicles, particularly through a partnership with Waymo in Nashville. Risher also addresses the challenges posed by market volatility and emphasizes the importance of maintaining a clear focus on data and long-term goals amidst fluctuating stock prices. (02:31:41) - Todd McKinnon, co-founder and CEO of Okta, discusses his journey from leading engineering at Salesforce to founding Okta in 2009, aiming to address identity management challenges in the emerging cloud computing era. He highlights the company's growth to a $3 billion annual revenue with 6,000 employees, emphasizing the increasing importance of identity management amid trends like AI and remote work. McKinnon also shares insights on the surge of interest in AI agents across industries, stressing the need for secure implementation and the evolving role of software engineers in a rapidly expanding software landscape. (02:47:11) - Alexander Ksendzovsky, a neurosurgeon and neuroscientist, has been cultivating neurons on electrodes for two decades. He discusses leveraging the superior energy efficiency and adaptability of biological neurons to enhance artificial neural networks, aiming to address the energy challenges in AI computing. Ksendzovsky emphasizes that this approach is not science fiction but a current, deployable technology, with his company actively integrating biological networks to improve AI model performance and efficiency. (02:55:15) - Andrew Huberman is an American neuroscientist and tenured professor of neurobiology at Stanford University School of Medicine, where he studies brain function, behavior, and visual system plasticity. He is the creator and host of the Huberman Lab podcast, which translates neuroscience and health research into practical tools for sleep, focus, fitness, and mental health. Huberman is known for bringing academic research to a broad audience through long-form interviews and solo deep dives on science-backed protocols. 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You're watching TVVIA. Today is Thursday, February 12th. We are live from the TVPAN Ultron, the Temple of Technology, the Fortures of Finance, the Capital of Capital, Ramp.com, baby, time is money, save both. These use corporate cards, bill pay accounting, and a whole lot more all in one place.

We have a great show for you today, folks. We're taking a little tour of the health world. We got Brian Johnson and Andrew Huberman on the show. Of course, we also have Matthew Zitland, June Park, David Risher from Fitt, from Lyft is coming in. Todd McKinnon, from Octa. We have a number of other folks joining the lightning round. It should be a fun show.

But first, I have to tell you what linear is. Not only do they sponsor the lineup, but they are the system for modern software development. 70% of enterprise workspaces on linear are using agents. So something big happened yesterday. There was a massive viral article. And do you know how big this, something big is happening, how much that grew.

It went big. I was getting text about it. It has over 100,000 likes now. We were looking at it was like 50,000 likes. How many views? I think it's over 100 million now. It's quickly becoming the most red thing in the world. I don't know.

It's crazy. 75 million. 75 million views? They're saying that only 200 people actually read it, but everyone has an opinion. Everyone has an opinion. I had an opinion. I wrote a piece about it yesterday comparing saying AI is not like COVID.

I kind of got one shot by the COVID analogy just from a mathematical perspective. Spent a lot of time talking about the difference between experimental growth and sigmoidal curves and logistics curves. But I enjoyed it. I enjoyed talking to the author on the show. And Wilmanitis had a great rebuttal as well talking about these are tool-shaped. What are they? Tools-shaped object. tool-shaped objects.

Just the idea of getting your workflow set up. It can be a little bit of a nerd snipe sometimes. There's a whole bunch of news. But the best reaction for two, something big is happening. It's got to be John Palmer, something small is happening. I was reading this this morning, actually laughing out loud. So we'll read through it. John Palmer says.

Yeah, you were reading it to yourself. And then you just started belly laughing. And so then I started filming. and then I asked you when you were reading. I was filming you. No way. Sent that to John. Oh, I missed that.

To get his reaction. I was dying. To you reacting to his. Yeah. Before we read through this, let me tell you about re-stream. One live stream, 30 plus destinations. If you want a multi-stream, go to Restream.com. So think back to 2014, a little over a decade ago.

If you wanted a burrito, you had to get in your car and drive to the restaurant. You had to stand in line. You had to talk to a person. If someone told you that one day, a stranger would bring you a burrito to your front door because you pressed a button on your phone, you would have said that sounds dystopian and also incredible. Then over the course of about three years, it just became normal. And this was before Chipotle started skimping out on the portions too.

So it was really, really good. I think we're at that same inflection point right now, except of instead of burritos, it's your entire job. I've spent the last two weeks reading about about AI and watching clips of people building things with it. I live in this world now. The future is being shaped by a remarkably small number of people. A few hundred researchers at a handful of companies.

I'm not one of these people, says John Palmer. I work in crypto. But I am close enough to feel the ground shake. I follow several AI researchers on X, and I also recently purchased a Mac Mini. I haven't set it up yet, but I think you can understand what I'm saying. I know this is real because it happened to other people first. Here's the thing nobody outside of tech understands yet.

The people sounding the alarm aren't making predictions. They're telling you what already happened to them. I am relaying this information to you secondhand with conviction. For years, AI had been improving steadily. I absorbed these improvements fine because I wasn't really paying attention, to be honest. Then, apparently in 2025, everything got much faster and then faster again. I know this because I watched a three-hour podcast about it last Wednesday. the host was visibly shaken.

I could tell, because he wasn't even able to finish a single pint of Guinness. Digging shots. Then on February 5th, two major AI labs released new models on the same day, and something clicked. Not for me personally. I was at a birthday dinner for my wife's co-worker, but for the people who tried the models that day, it was apparently a huge deal. One guy said he tells his AI what to build, walks away for a few hours, and comes back to find the work done. this will very likely be what my life is like as well. Once I set up my magnate, AI will be doing things while I'm in the other room. That's potentially huge. Huge. Let me give you an example so you can

understand what this looks like in practice. A guy on Twitter built an entire app just by describing it. The AI wrote the code, opened the app, tested the buttons, decided it didn't like the layout, fixed it, and only then said it's ready. I'm going to do something. I'm going to do something like that with my Mac Mini, some type of cool app or something. I'm still figuring it out, but I have all the hardware. And I'm definitely going to optimize my setup with all types of skills and plugins. I'm not exaggerating. That's what my Tuesday could look like, potentially. But I tried AI, and it wasn't that good. People would say this. They say this. I tried AI. It wasn't that good. Here's John Palmer's response. He says, I hear this constantly. I understand it because I also thought this, but the models today are

apparently unrecognizable from what existed six months ago. Some of the people who are saying this have hundreds of thousands of followers and make sure you're not on the free plan. You have to get on the pay plan. That's key. How fast is this actually moving? Let's answer to that question. In 2022, AI couldn't do basic math. By 2023, it could pass the bar exam. By 2024, it could write working software, and by 2025, some of the best engineers in the world had handed over most of their coding work to AI. In February, 2026, you can make AI send you a morning summary

of the top posts on Reddit from your Mac Mini. Here we go. What should you actually do? I'm not writing this to scare you, says John Palmer. I'm writing this because the single biggest advantage you can have right now is being early, early to understand it, early to buy the hardware, early to subscribe to the paid

tier and ask it to make a meal. You can start using it for real work. If you're an engineer, give it a meal, a meal plan. A meal plan. A meal plan. Oh, a meal plan. Yeah. Actually, make a meal. That would be cool. If you're an engineer, give it a GitHub repo. If you're in finance, give it a messy spreadsheet. If you're in other industries, definitely figure out what you can give it, then give it that. But give it something for sure. I just need to think about it more. Mention it to your coworkers. Right now, there's a brief window where most people are still ignoring this. You can be the person ignoring it less, which puts you ahead. Be the person who walks into a meeting and says, I used AI to do this. analysis in an hour instead of three days. It's fine if it actually took you three days. The point is people will respect you. Get a Mac Mini. This is point number three. I think this one's based on. By the way, you can actually get a Mac Mini on DoorDash. You can, just like a burrito. It's important.

Every single account I've seen posting this stuff has a Mac Mini. It's the ultimate tool for this stuff. You've got to get your financial house in order. I'm not a financial advisor, says John Palmer. That said, I did just spend $599 on a Mac Mini plus AppleCare and $50 on Claude Tocons. But if it gets too expensive, have a backup plan to switch to an open source Chinese model. Fourth, watch the podcasts. Actually, don't just watch, study, TBPN, Dwar Cash, etc. The good thing is that these shows are several hours long, so you can basically fill up your entire day.

You're watching them. Or making them. Or making them in our case. Rethink what you're telling your kids. The standard playbook, good grades, good college, stable job. It's over. Tell them it's likely not looking good for the... them. Go to your four-year-old and tell them. It's not looking good, buddy. It's not looking good. It's not looking good. What I know, I know this isn't a fad. The technology works and the richest institutions in history are pouring trillions into it. I know this because I've seen it mentioned pretty frequently over the last few months. I know the people who will come out of this best are the ones who start engaging now, not with fear, but with curiosity of sense of urgency. Ideally, a Mac Mini. The future is already here. It just has a knock. It just has a knock.

on your door yet. It's about to. And when it does, I will be ready. My MacMini will be unboxed. My agent will be configured. I will describe what I want in plain English. And it will appear. I just have to optimize everything first to make sure my setup is super legit. If this resonated with you, share it with someone in your life who should be thinking about this too. Most people won't want to hear about it. It's too late. You can be the reason someone you care about buys a Mac Mini. Oh, so funny. Banger. Such a banger.

So, so good. I really. No words. No words. I did. Let's see how Codex is doing. I gave, I went and I described in plain English to Codex 5.3, medium. Build me an app.

An amazing app. The best app ever. One that will win awards and make me a legend in Silicon Valley. An award-winning app. An award-winning app. And it appears to be working. Let's see. We'll check in on this.

I need to run it. No, it's running it. I don't know. It's describing it. It doesn't, it hasn't said what it's thinking of doing. You don't need to know that, John. You don't need to know that. More seriously, John Palmer's post feels like a response to Will's essay tool-shaped objects, which is fantastic. We won't read through Will's whole essay because I think you should read it yourself. He might be coming on the show soon. Yeah, we're going to get him on the show tomorrow, which we're excited about. But we do love reading a Willmanitis essay, lace. with tons and tons of advertising. We know that that's one of his favorite things. And we'll read one right now for the New York Stock Exchange.

Want to change the world? Raise capital at the New York Stock Exchange. Amphropic. Emprophic is nearing the completion of a deal to raise more than $20 billion in a funding round led by investors, including Peter Thiel's Founders Fund, D.E. Shaw and Dragonere. Let's dig in. of course, being a little bit silly with the pronunciation, Sydney over on X,

which said British AI researcher be like, Amphropic. So I'm going to start integrating that into my sentences as well. Anthropic is nearing the completion of a deal to raise more than $20 billion in a funding round led by the group I just mentioned. The deal is set to value Anthropic at about $350 billion, nearly doubling its prior value,

and could be announced as a real. early as this week. The funding round includes a range of investors, including Co2, Singapore's GIC, Microsoft, Nvidia, and has become a who's who of Silicon Valley and Wall Street investors. I think it's worth kind of talking about this just from a PT lens. I don't know if you want to break it down, given that he's your former boss. Yes. So Founders Fund is known for the Monopoly Thesis. Like, there's a power law. You want to be in the best company in the category. You want the best ownership.

Put all your money in that one. Yeah, I'll go all in famously. They did some other social networking deals, but obviously, like, Facebook was the big one at Seed, and that was enough to return that fund many times over. And so the whole thesis of the fund for a long time has been, like, this concentrated bets, concentrated bets. AI has been an interesting one. They're now in three major labs because they have a huge position in SpaceX, which now owns XAI. And so they're in that lab, sort of coincidentally.

Peter Thiel, I believe, is listed on Wikipedia as a co-founder of OpenAI, or at least he was like an initial donor and got like a co-founder title. And so has been involved in OpenAI for a long time. And then they invested, I believe, in like the $60 billion round right after, right when ChatGPT was launching. There was a big funding round that happened. And it was an odd deal because the company had not yet converted. It was very unclear what Microsoft would get, what the employees would get, what the investors would get, what the nonprofit would get,

because the nonprofit was going to keep a stake. And so it was this like wild bet. And I know a lot of investors. It was a leap of faith. It was a leap of faith. A lot of investors were scared off because there was, you know, what am I investing in? Like, I'm not getting shares. I'm getting units.

and it was like a very odd structure. And I know many investors that were scared off by that. They were like, yeah, the product's amazing. I'm kind of a unit. An absolute unit. I'm an absolute unit, but I'm used to buying shares. Yeah, exactly. So you had to do a lot of sort of leaps of faith.

At the time, I was sort of trying to, I mean, I was enjoying Chachapiti. I thought it was an important product. I didn't really have fully full, full. thesis around like the aggregation theory and you know maybe there would be a winner take all in consumer AI any of that I was just looking at the team because at the team at the time it was Sam Altman who'd founded and sold a company in this like aqua hire then worked at YC been a successful investor and it was just like all green flags for like if it wasn't all the baggage of like open AI and stuff just like if if someone with that resume came to you and was like I'm starting a company

you'd just be like, yeah, you check all the boxes. Great. And then you have Greg Brockman, who was the CTO of Stripe, hugely successful company. And so it's like, wait, you got that guy to come be your co-founder? Okay, that's great. And then you have Ilya, and you had a whole bunch of other folks who were just really, really top tier just in terms of like founder quality, like worth backing. And so you did have to put the valuation out of your mind because it was so not, so disconnected from like startup valuation. But in terms of just, is the team high quality. It seemed like it checked all the boxes

and that they would figure it out. They of course ultimately did. There was another sort of interesting thing just about the thesis at the time, how big can this be? What is the market? What are the opportunities for really, really huge categories? A lot of founders funds investments like SpaceX.

It's like this massive category that's very, very hard. But if you crack it, it's going to be, an entirely new market. Social media was certainly that as well. And so that made a lot of sense. Obviously, they're in X. Now they're in Anthropic. Sequoia is also in all three. And the interesting thing is, like, PT has given a number of talks where he's sort of been anti-AI. You've seen this whole thing about, like, crypto is libertarian, AI is communist, and that AI is like a consolidating force. He's never been one to say, like, oh, how, the tools are so amazing. It's been a lot of, like, Is this just doing your homework for you?

He's not putting out threads about using his Mac Mini. I don't even know if he has a Mac Mini. You should send John Palmer's piece to PT. Just flip it over. Yeah. Say, hey, I think you should read. I think you should read this. You know, I think you kind of understand this.

You did invest in DeepMind. Yes. Like, you know, more than a decade ago. Yeah. The DeepMind deal was wild. So Demis met PT at a party, I think. And instead of pitching him on DeepMind, he said, let's play chess. And so they played chess and then Founders Fund invested in DeepMind very early in...

Do we know who won? I don't know, actually. That might be DeepLore. I'm not sure. But DeepMind, the initial pitch was like this counter force to Google a little bit or like this like renegade group of AI. It's the same thesis over and over again. It's like, let's get the Pure Play going. and then it always gets tied in with a hyperscaler at some point.

But Google acquired DeepMind in 2014, January, for 600 million. And founders fund owned more shares than the co-founders who had split up and then all the employees. Because they had, again, developed like a very concentrated position. Okay, apparently here's some of the lore. Knowing Teal was a chess player, Demas struck up a deep technical conversation about the relative strengths of the Bishop versus the knight. So they were just talking about chess. They didn't actually play.

Maybe. Really quickly. Let me tell you about Century. Century shows developers what's broken. It helps them fix it fast. That's why 150,000 organizations use it to keep their apps working. Apparently the first investment was two and a half mill. You can't get deals like that anymore.

You can't do anything with two and a half mill. It's a nightmare. It's a nightmare. It's a nightmare check site. Wasn't the initial Facebook check? Was it $100,000? or was it a million dollars? It was like not a lot for 10% of Facebook or something like that. It was crazy. Yeah, wild, wild times. But so, yeah, I mean, reading into this, does this say

that the Founders Fund team thinks that there's like a divergence in the market, that there's actually two, there are actually two markets going on here, one in consumer AI, advertising, knowledge retrieval, the other in code and developer tooling and code gen, and that Anthropics has actually carved out a separate space, so they're less competitive than people think. Maybe they're just more competitive, and it just makes sense to get into both. We'll have to talk about them once the deal closes,

and everyone's ready to chat. Tyler, do you have something to add about... I was just going to say, Scott Wu ran back that playbook, right? He did. Didn't he challenged PT and chess, and then Napoleon and poker? Wasn't that the...

Yeah, yeah, yeah, yeah. And it was like, if I win, I get my terms. If you win, you get your terms. And we have some breaking news. What's the breaking news? Anthropic has formally announced the round. Let's go. They said, we've raised 30 billion, so they upsized it. 20 was. They are now at a $14 billion run rate. Wow. With this figure growing over 10% annually in each of those past three

years. We'll see if they got another 10x in them. Dylan Patel on the show last week felt fairly confident. Yeah, yeah. I mean, yeah. The big shift is that, yeah, I mean, the biggest update for me is that the forward-deployed engineer thing is like very real. And even if the tools can build themselves, there's still so many blockers to actually rolling these out

that you're going to need a lot of people inside these organizations who are actually playing with Mac minis on the. weekend and getting obsessed with these tools and then bring them into the enterprise because it's very easy for a lot of people in Fortune 500 companies to just show up and do their job the way they always do it because no one gets fired for switching things up. But if you roll out some tool and it doesn't work the way you intended or it sucks about a bunch of your time, even if you're just, I have eight hours of work to do in my traditional system, where do you get the extra hours to automate your work?

It takes time and that's where the forward deployed engineers come in. So great gig for anyone who wants to go, implement enterprise agentic workflows, because that will be the theme. Let me tell you about phantom cash. Fund your wallet without exchanges or middlemen and spend with the phantom card. Let's pull up this chart. Andrew Kern over on X pulled it out. We can see Anthropics run rate revenue growth. Wow.

You can see here quite the pop from $0 in 2023 to $100 million in Jan of 2024. To a clean $1 billion in January 2025 and now sitting at 14 billion. This is acceleration. This is true. Are you feeling it yet? True acceleration. Are you feeling it? Dario sort of underplayed 2027, I guess.

Or I guess he said that he was like, I don't think we have another 10x. If they go to $100 billion. Well, he said like we've been 10xing. Yeah. You know, we'll see if we do it again. Yeah. Like wink, wink. If they hit 140 billion run rate by the end of the year, that would be insane.

But strange times. Strange times. You love this effect. That's all, folks. I mean, Tyler's been saying stuff along this lines for some time. Octa helps you assign every AI agent a trusted identity, so you get the power of AI without the risk. Secure every agent, secure any agent. We have a CEO of Octa coming on the show.

Pump for that. back to the timeline. There are more... More in Anthropic, Nathan Lambert was quoting their announcement from yesterday saying, we're committing to covering electricity price increases from our data centers as Anthropic to ensure rate payers

aren't picking up the tab. We'll pay 100% of grid upgrade costs, work to bring new power online, and invest in systems to reduce grid strain. That makes sense. Yeah, Nathan's saying maybe this should have been their Super Bowl ad. Yeah. Yeah, it felt like,

Like, when you looked at, when you kind of look at clearly how much energy the industry put into the Super Bowl and what the net effect was for the average American, I don't think any, I don't think the average American came away from that, like, having more positive feelings towards AI. Yeah. If anything, they were like, I'm sick of this stuff. Yeah, yeah, yeah. The meme was like, oh, beer ads, like, refreshing. Yeah. But yeah, it would have been good to focus on this. Microsoft did this, what, a couple months ago, the news was on January 14.

So just one month ago, Microsoft announced that they were going to do this because there was a 267 percent wholesale electricity price near data centers and local communities were starting to push back. Some $64 billion in projects face delays or cancellation because of opposition. So it's pretty easy to say, hey, my electricity bill is going up. I don't want a data center in my county, in my city, and you call your city county representative, and they say, I don't like the slop either. I see a bunch of junk that doesn't seem that valuable.

Why do we need it here? It's not going to create that many jobs. It's not going to be that good for taxes, blah, blah, blah. And other companies that do this, too, Google had their clean transition tariff, and Amazon also pays a surplus above electricity costs already. But Microsoft was unique because they timed it and did a whole press cycle around their initiative, and the volume was much higher.

The other interesting fact from that previous report was the anti-AI issue is remarkably bipartisan. Data Center Watch claims that 55% of Republicans and 45% Democrat in affected districts. So 55, 45, 45, so it's not really like a red, a right issue or a left issue. Like there's pushback on both sides. Like when the data center comes in,

it's not just, oh, it's all green flags in a Republican district. No, both are pushing back. They're also going in on super PACs, right? So Anthropics is putting $20 million into a super PAC operation that is meant as a direct counter to the Open AI, super PAC operation. The midterms are a battleground between these two rival AI labs, says Teddy Schleffer at the New York Times. And so we're going to see some attack ads. It's like

Sam and Dario are running for election. And we're going to see some... Be the president of AI. Yeah, this person can't restore the economy. What do you think, Tyler? Yeah, but I mean, we just said that like overwhelmingly on both sides, there's like a lot of pushback, right? So it's like, what are the actual differences between their approaches? Yeah, that is interesting. Maybe, I guess, Maybe Anthrop will be more like about the China chip issue. Yeah, it feels like they should be more in alliance than against each other. Yeah, it's like crypto, there's a crypto super pack. Yeah.

It's like the big one. Yeah. There's no like big AI one right now. Yeah. Yeah. It would be weird if there was like a USDC super pack and then a USDT super pack and they were like fighting each other and just constantly surfacing bodies that are buried in the closets or skeletons in the closet because every time there's a successful attack.

on Open AI, yes, people might be like, oh, okay, I like Anthropical a little bit more, but most people will just come away being like, I don't like AI. Yeah. So if they're attacking each other, that could just be bad for both, maybe? I don't know. But we'll see, we'll see what they run. We'll find out. We'll see what they do.

Ben over on X says, if you were falsely accused of a crime and it went to trial, who would you prefer to listen to the arguments and give the verdict? And the options are a jury of your peers or Claude Opus 4.6, there's been 2,000 votes and 63% of people prefer Claude. Yes. Might be the audience here. Yeah, a little biased. Ben does work at Orchid Health, engineering whole genome embryo screening,

so I wouldn't be surprised if that's his audience. But I don't know. I don't know. I think the jury of your peers will be around for a very, very long time. I think that that will be something. I mean, they still have courtroom stenographers. I think Claude's going to be around a long time too. Yeah, okay.

If you're thinking in centuries maybe, but I mean, the courtroom sketch artist. We've had cameras for 100 years. I'm not saying that I think this will ever happen. Yeah, okay. But you'd prefer it. You would ideal it. I mean, how many jurors will be sitting there being like, okay, Claude, how should I vote? I haven't really been paying attention.

I've been playing Candy Crush. I've been vibe coding, my optimal workflow. codbot. Really quickly, fin.a.I, the number one AI agent for customer service. If you want AI to handle your customer support, go to finn.a. Will open AI or Anthropic IPO first as of late last year,

it was sitting at 75% of people on call. She thought that it would be OpenAI. Now it's flipped. Almost 70% of people think that Anthropic will get out the door. It is narrowing. It is narrowing. But I expect these to kind of fluctuate.

just with the headlines. It's all red meat for Michael Grimes. I got so many text messages about his move back and being like, it is the most bullish thing for late stage growth technologies that he's back at Morgan Stanley. Like, you just like, if you had any doubt that there will be major, major blockbuster IPOs,

it's Michael Grimes being back at Morgan Stanley. So very excited for that. Really quickly, Gusto, the unified platform for payroll benefits in HR, built to evolve with modern, small and medium-sized businesses. Teja over on X says I turned on MetaI's auto reply for Facebook Marketplace.

I listed an item for $75. And when someone asked if it was available, the AI replied asking if they wanted it for free. It's elite. It's all just a bait tactic. So hold on. There's a community note. Yeah.

We got to dig in. It says Meta AI only suggest one reply. So this is a typo in here. Only suggests one reply for every message of the listing. then you can edit or say that this one is manually written by the user. So some fake news, but still funny. I mean, Taye Haas responding to Taylor, do not trust community notes. This happened to me, no idea why the community note appeared.

Meta AI only sends one message. I cannot edit it, but I can unsend it. Whole Mars catalog. Stop talking trash about it publicly, and it might stop giving away your stuff. That's on you, buddy. That's on you. Rocko's Basilisk. This is Rocco's Basilisk.

What's up with Warner Brothers? Where do we stand? Console.com first. Console built AI agents that automated 70% of ITHR and finance support, giving employees instant resolution for access requests and passports. The situation intensified this week as Paramount CEO, David Ellison, and a vocal investor made new moves to thwart rival Netflix's plan takeover. The storied Hollywood asset and the home of Batman, Harry Potter, and the White Lotus.

Paramount, a long rebuffed suitor for Warner Brothers Discovery, enhanced its 77.9 billion all-cash offer for the entire company. Tuesday in an effort to bring Warner to the negotiating table and ultimately abandoned its deal with Netflix. Also an all-cash transaction valued at $75 billion. Cleveland investor and Kora Holdings entered the fray by acquiring a small stake in Warner with an eye toward increasing its holdings and pressuring the company to negotiate with Paramount. I wonder if they're friends with the Ellison's. Paramount's gamble. Paramount is hoping its latest pitch. can persuade Warner to ditch its agreement and sell its movie and TV studios and HBO Mac streaming service to Netflix. Unlike Netflix, Paramount also intends to buy Warner Discovery's cable networks, which includes CNN, TBS, and Food Network. But Warner has so far shown little interest in engaging with Paramount, telling investors that Ellison's previous offer was not even comparable to the Netflix agreement. On Tuesday, Warner said its board will review Paramount's new offer, but isn't modifying its recommendation regarding its agreement.

agreement with Netflix. The company advised shareholders to not take any action now regarding Paramount's amended tender offer. The bar for Warner to reopen talks with Paramount is very high, given its contract with Netflix. A massive termination fee. Paramount said it would pay the $2.8 billion. Let's give it up for multi-billion dollar termination fees. Warner would owe Netflix should the agreed to deal collapse and pay a ticking fee of 25 cents a share to Warner shareholders for each quarter its deal hasn't closed. We got ticking fees. Ticking time bomb.

Some stakeholders are holding out for Paramount to further boost its bid. I'm not surprised, given that they've repeatedly said with their offers, this is not our best and final offer. Analyst from Raymond James wrote in a note to clients that many Warner Discovery shareholders still expect Paramount and its backers to raise its $30 a share bid by $2 to $3 a share. So everyone is waiting around saying, let's get those numbers up. And remind me of how Paramount is doing right now. They have UFC, correct? And the experience watching UFC was a downgrade from pay-per-view, but cheaper? What was the takeaway?

Well, I mean, I don't think we can, like, give an analysis of Paramount as an entire business based on the... The experience was not as good as paying for the pay-per-view. And was that because you had to go through all the... You had to jump through all the hoops to sign up for Paramount Plus, and you weren't already a member? No, the, like the viewing experience was different because it's now subscription and ad supported, whereas previously pay-per-views had ads, but not nearly as much. Okay. So the thing you're missing now watching is like in-round commentary, walkouts, things that, like, hardcore fans really like.

Is there less Joe Rogan commentary? Basically. Brutal. Brutal. That's extremely bare. The markets are reacting. Paramount's down 7% today. That might be a good day. Of course, not just reacting to this analysis of the UFC viewing experience.

Yes. But no, the stock dip was apparently in reaction to the breakup fee. People being like, oh, great, you're going to pay even more. Let me tell you about app love and profitable advertising made easy with axon.a. I get access to over one billion daily active users and grow your business today. So for now, Paramount's move Tuesday to Sweden's offer could push Netflix to increase its bid for Warner. Paramount needs to test Netflix's pain threshold without having to bid too high. The revised offer does exactly that without further constraining its balance sheet.

For now, the ball is now with Netflix. Warner and Netflix are focusing on getting their deal approved by the Justice Department, as well as regulatory authorities in Europe. As part of its investigation, the DOJ is looking into whether Netflix has engaged in anti-competes. competitive practices. Last week, President Trump reversed course and said in an interview with NBC News that he didn't think he should weigh in on the deal and would instead leave it to the Justice Department. I've decided I shouldn't be involved. The Justice Department will handle it. Trump said in the interview, he previously expressed concerns about the size and scale of a Netflix Warner combination,

saying the combined company would command significant market share, but he's clearly been watching YouTube. And he just says YouTube's too dominant, too many watch hours on YouTube. It's fine. Let it rip. That talking point probably worked on him. We'll see. Paramount said Tuesday. That said we did in talking to Ashley, what was it on Tuesday? Ashley wasn't super excited about having basically one fewer buyer on the documentary side. But he said it was already so cooked that.

Yeah. He was black filling hard. If you want some white pills, our newsletter, TbPN.com, has a list of AI white pills. You may have missed. There's a number of them. so go check them out, digging through the archive, finding. Basically, the vibes on the timeline have been miserable. Everyone's like, you know, a fast takeoff, permanent underclass.

Tyler Cosgrove is not blackpilling. He thinks that we're in the fast takeoff. There's been a lot of white pills. A lot of white pills. Recursive bio-lapsing. They're like, they hooked an AI agent up to a biolap. That is a white pill. Yes.

No, I agree, I agree. But I understand that a lot of people might see it as a black pill. Erica over on X posted that Eileen Gou to join Benchmark as a senior associate when she returns from the Olympics. She photoshopped this. Of course, we did not put this out, but it's a good bit. Eileen competes for China in the Olympics, even though she's a U.S. citizen. And an American student? An American student.

Bill Gurley responded. I know a lot of Americans do this. I have a buddy who was able to go play ping pong in the Olympics because he had dual citizenship. It wasn't even like a dual citizen. He just like his parents were from another country. So he was able to go beyond that team because a lot of the other teams are like way less competitive. So it's like you wouldn't make the U.S. team, but you want to play anyway. So you go with the other country.

I think with Eileen, it's because the sponsorship dollars she can make by being a Chinese star. There's all these Chinese brands. I thought you couldn't. She's a global star. You can just get paid? You can get a bunch of it. Not to compete in the Olympics, but broader endorsement deal. Yeah, yeah, yeah, you're on the Wheaties box.

Getting a gold medal is like UBI because you'll be able to do... You'll be turned into a Lubu, potentially. Well, yeah, in this case, in this case, yeah, but Bill Gurley actually responded. What do you say? And said, I can't believe you actually found out about this. We were planning to keep it a secret, but he wrote it in Chinese. He's leaning in. He's leaning into the meme. Interesting.

We... Turn post notifications on for Wendellian response. Gurley will be coming on the show. Yes, we're very excited. When his new book drops, we've got copies. I don't know how embargoed it is, so I haven't been talking about it. So we're not going to share it with you yet. But moving on, we should talk about public.

We should talk about public. Public is investing for those to take it seriously. Stocks, options, bonds, crypto, treasuries, and more with great customer service. We got to talk about. Amazing ad that Leaf over at Public put together all about teaching kids the power of compound interest, a very different positioning from many other platforms. And I, you know, it was all AI generated. He made it in like two seconds, I guess.

But it was like still emotional because the idea hit me because I'm a father. But yeah, it's good stuff. Anyway, we've got to talk about Higgsfield. Yes. We've had the founder of Higgsfield on the show a couple times. They've been accused of rage bait, basically. Yes. I think that's what's going.

More than rage bait. But, uh, but, uh, Rush, uh, Rob. in Forbes has the daily cover story. Oh, wow. All the racist videos and payment problems, the dark side of this AI startup super fast growth. Influencer marketing has helped AI company Higgsfield hit $300 million in annual revenue run rate in just 11 months,

but misleading marketing tactics and a social media strategy based on shock has led to backlash among creators. In late January, Tim Soret, a London-based video game director received a message on a social media site from the marketing team at Higgsfield, a fast-growing AI generation startup. This is the biggest moment in Higgsfield history, and we want you to be a part of it, Red, the $1.3 billion startup whose tools are used by some 15 million creators in ad agencies to churn out four and a half million video clips every day.

It was about to launch a new tool called Vibe Motion, which uses AI models to convert text prompts into motion graphics. You like good vibes? You have motion? Use vibe motion. The offer of Sorrett shared the startup social media posts along with video clip from pre-assembled marketing materials, the company would pay him $200. But Zorat, who has spent years designing graphics, both manually and with AI tools,

could tell something was off. Videos Higgs field had shared with him lacked the visual quirks of AI. He's like, this is simply too good. Interesting. And he quickly realized that some clips in the media kit weren't generated with AI at all. I said this was a huge alpha in just taking a cinema camera, filming yourself, and being like, this is AI generated and I'm raising. It's fraud, but alpha.

that's not alpha. Don't do it. But there was a moment, I mean, this happens a lot with open AI stuff where people will see a video and they'll be like, wow, they definitely have a new model. And it's like, they also have a production budget. Like they can just hire actors. Well, so when Sam Blonde launched Monaco yesterday was his video AI because it looked, it was 50-50 for me. Yeah. Like there's definitely, there's definitely, you would just rip a direct camera.

Oh, I know. You obviously could. But clearly the models are good enough where you could, and it's kind of a funny thing, if you're launching an AI company to show, like, I made this with AI. It's that good. It's good enough. Anyways, so they get it, this guy gets a media kit, says, hey, can you share some of these AI outputs? But he found out and said there were video templates that appear to have been lifted from a stock site in Vato in which the startup had pasted its own logos.

While Saurit didn't share the videos, others did circulating the stock video templates. on X to promote Higgsfield. Wow. All this hype is fake and it's bot, so it told Forbes. Higgsfield's co-founder and chief strategy officer, Maahi, told Forbes the Media Kit was created by an employee in the startup's marketing team for ideation purposes and was inadvertently shared with creators saying the company's processes went haywire. With its library of 400 presets of camera motions and visual effects,

SF-based Higgsfield offers an easy way for creators and advertisers to produce cinematic short videos. through text-based prompts. You guys already know this. Mah, he says, we fully admit that we push the envelope. We learn from what works on platforms like X, and very explicitly, it's more controversial content that gets attention.

So that's translated into hockey stick revenue growth. Last month, the startup claimed it doubled its annualized revenue to 200 million in just two weeks, driven largely by subscriptions from its 300,000 paying users. By early February, its annual run rate crossed 300 million. CEO Alex told Forbes that he, hopes to reach $1 billion by the end of the year. After raising $80 million from firms like Excel and Menlo in mid-January,

the startup is now in talks to raise funny again. But that rapid growth appears to be driven by aggressive, shocking, and sometimes misleading marketing tactics. Anyways, they're moving very quickly. It was interesting when we asked Alex about his margins. He kind of, he seemed kind of, he gave kind of a concerning response. he immediately was like... Yeah, well, when you're reselling a model,

you are at risk there. At the same time, like, with a different business model, with a different customer acquisition flow, it's possible to have good margins on top of models if it's deeply embedded. But I've actually been getting served a whole bunch of Higgsfield spawncon or like how-to videos that are,

Amazing. A lot of them are Testaments to the power of the underlying models like nanobanana. I saw there's this cool video where this creator was talking about how hard it is to film yourself Like let's say you want to do one of those like cool like I'm locked in videos which I really enjoy And you want the camera to be here getting a profile shot of you and then flip around go behind you over your shoulder then spin around show your face then go inside the keyboard that can be a really really hard shot to get you might need like like an automated camera, a robot, like you need a Kuka robot arm to do that move. MKBHD has one, but they're very, very expensive, hundreds of thousands of dollars, not every creator can afford one. And so he was basically showing this workflow where he will film himself on a tripod here,

move the tripod, move the tripod, move the tripod, and then put in the start and end frames into Nanobanana Pro, and then it interpolates those and does the sweeping move. and because it's all in motion, there's motion blur, and it has two reference frames of like Jordy's side and then Jordy's back, it actually looks perfect. And it doesn't need to come up with as much imagination, so it delivers really well. And a lot of those have been sort of those little, like, fun,

like tools or like workflows have been promoted by influencers, and then they'll say, like, comment, and I'll send you the prompts or I'll send you the workflow, or I'll break it down, or I have a course or something like that, info products on top of these things. And I haven't really jumped in, but I've seen those and been like, I would love to make that video of me

or my dog or whatever, my car. It's a fun thing. And for the right person, that's going to actually work as a marketing ad or work as content for them. Really quickly, let me tell you about 11 labs. Build intelligent, real-time conversational agents. Reimagined human technology interaction with 11 labs.

Also, I've got to tell you about 11 reader because I used it this morning in the car. to read or dictate the Wilmanitis essay, and I really enjoyed it. So shout out 11 reader. Can it do Will's voice yet? No. We should get Will to license his voice. We really should.

Will, the author. I had the option to pick a few different voices. You can clone your own voice, but you can't clone someone else's yet, because it makes you read, like, certain text. So the iconic voice collection, it serves to you and says, do you want to do? Michael Kane, who's a British icon, Bert Reynolds, the masculine iconic storyteller, Richard Feynman, raw genius, Sir Lawrence Olivier,

and Dr. Maya Angelou. And I picked Bert Reynolds, the masculine iconic storyteller. So he led me. Here's maybe where Higgsfield kind of crossed the line. Apparently they shared, they were sharing a Google Drive folder with the creators that had popular children's characters like Shrek, Moana, and Mickey Mouse saying things that are, hear on the show, but sound a little, a little racist.

And then non-consensual deepfakes of public figures like Sydney, Sweeney, and Zendaya, and President Trump. So, yeah, the challenge here is, like, companies like Higgsfield are competing with these Chinese open source models that have no rules. They'll generate whatever you want. Yep. And clearly, there's an insane amount of demand for video models that have no rules. Of course. And so this isn't surprising, even though it's wrong. Yeah.

It's, I mean, it goes back to the BitToran Napster analogy where, like, the demand for things that just can't be done legally is really, really high. And you have to, you can't, you can't view that as a business opportunity because, of course, you'll see really, really high demand for completely free music. If you're not paying anything, right? Yeah. You'll see really high demand for generate Mickey Mouse character. The question is, the business question. question is, can you actually do the deal? License it. Make sure all the stakeholders and all the legal parties are represented and happy

with the deal and everyone's paying. If you're just throwing out free IP violation, you're going to see huge demand. But it's probably unsustainable. Yeah. So they did launch a program called Higgsfield Earn, which was basically like a clipping thing. You could make stuff, share it, depending on how much engagement it got. You'd earn some money. That led to them getting banked.

And for Macs for their account shut down. Whoa. I didn't realize that. So, yeah, we'll see how this nets out. I mean, Alex, I'm sure, will, I would hope, would adjust course. Yeah. He is, they're clearly very talented in a lot of things. Yeah.

That sounds like they've been blurring the line. I mean, for what it's worth, I still think that, I don't know how fast you would get steamrolled by the labs, but I do think that there's an interesting opportunity. right now for like a little bit of what CapCuts doing plus Nanobananas Sora stuff where you have a lot of video generation, but then you also have the ability to lay over just actual text, actual motion graphics. And if you pair up some of the more deterministic tools, like basically tool use, like how how chat GPT can also do a math problem in Python and be 100% accurate, you can imagine if you if you want to just draw a rectangle on top of the video that you've generated or make it black and white. That's something that doesn't require a generative AI model. You can just call a tool

that has the same functionality as Premiere Pro. And then it'll just do that. But you have to actually wire all that up, make it all work together. And maybe that's where this goes. And then I don't really know how defensible that is, but we'll see. Yeah, I was just going to say, like, I mean, you're kind of just describing like a rapper, right? Yeah, exactly. At least in the text field, like, it seems like rappers, at least of late, like, have not been, you know, people are much less bullish on rappers now than they were, like a year and a half ago. Yeah, especially the huge problem. I don't know, SD kid. Pretty good.

Yeah. I like that. Let me tell you about Lambda. Lambda is the super intelligence cloud. Building AI supercomputers for training and inference that scale from one GPU to hundreds of thousands. The other really hard thing about the video wrapper, the video. app is that many, many video producers, they start fresh every day. Like, when we edit Diet TBPN, our 30-minute cutdown of the show, like, the project is

started from basically a clean slate. And so actually shifting from one software to another is really, really easy. I mean, you still have to learn the new tool. It has to be better. It has to have all the features. But it's not like, okay, well, there's all these networks of documents. there's a system of record. It's different if you're editing a movie over two years.

You're probably not going to switch tools mid-movie. But if you're a shorts editor, you can switch from Capcut to Instagram edits, like their video editing tool really quickly. You can go over to After Effects or Premiere. And you can just be like, for this video, we're using this. This happens to us all the time. We'll have a video editor on the team who's like,

oh yeah, they use DaVinci Resolve. And it's like, it doesn't even matter to us because it's like, Oh, yeah, they just use that, and then they plug in and then they deliver a video file at the end. They render it out. Anyway. One more thing on Higgsfield, I would expect that Disney comes after them, too. They're generating Disney characters right now.

Disney invested a billion dollars into Open AI as part of this licensing deal, one-year exclusive. They would expect that pressure to come soon. Let's move over to Bill Ackman. But first, let me tell you about Shopify. Shopify is the commerce platform that grows with your business and lets you sell in seconds. online in store on mobile, on social, on marketplaces, and now with AI agents. Bill Ackman makes a big bet on META. Pershing Square disclosed a roughly $2 billion position in META.

Hedge fund manager Bill Ackman likes Mark Zuckerberg's chances in AI. Pershing Square revealed the stake at an annual meeting of one of its fund on Wednesday. The position amounted to 10% of the firm's capital at the end of 2025 or roughly $2 billion based on past disclosures. Meta shares are down about 13% over the past six months, a decline that Pershing Square attributes to investor concerns about the sums the company is spending on AI. Perching's thesis revolves in part around AI boosting Meta's content recommendation and personalized ads and potentially unlocking new opportunities and wearables

or AI digital assistance for businesses. They're Ben Thompson-filled. Keep reading. I'm going to pull up... Meta's business model is one of the clearest beneficiaries of AI integration. Pershing Square said in its presentation. Ackman tends to concentrate his stock portfolio in a small number of high conviction bets. He only had 13 different positions at the end of 2025,

including other big tech companies, Alphabet and Amazon. What did you say? You just like me for real. You co-tweeted this, right? Yeah, there's a, I mean, I didn't like really anything. I just posted a Jeremy Giffon. You created this post, and you photoshopped Jeremy's name on there because it was your idea. came from you.

What did you hear me say? Yeah, I just want to give him credit. He said, the idea that it's hard to beat the market is mostly trotted out by money managers. What they really mean is that it's hard to do when you manage other people's money because it's difficult to get paid for doing the obvious thing.

I think it's substantially easier than most people think for the person solely running their own cash. So, Ackman is charging two and 20 to own the MAG 7. You love to see it. But a lot of people don't have diamond hands. He will diamond hands for you

by holding you. Alphabet, Amazon, and meta, apparently. Let me tell you about Railway. Railway is the all-in-one intelligent cloud provider. Use your favorite agent to deploy web app, servers, databases, and more, while Railway automatically takes care of scaling, monitoring, security. Speaking of meta, Rayban, Maker, Luxottica, says it more than tripled. Meta-I-Glasses sales in 2025.

Take off. The French, Italian IWA brand said it sold over 7 million AI glasses last year, up from two million that the company sold in 2023 and 2024 combined. Wait, so sorry, say that number again. How many did they sell last year? Seven million devices last year. I think I'm starting to see them.

I mean, Ashley Vance came on the show and was wearing them for fun, but also for good content. He's going to actually include that content in the stuff that he makes. It's a video maker's tool, so it's a prosumer tool. He, of course, had a whole bunch of other nice cameras here, but that is another tool that you can't replace. He doesn't want a GoPro strapped to his head. That doesn't make any sense. Then you have

the extreme sports. I'm going skiing in a couple weeks with a bunch of friends. I'm sure I'll see a pair of the vanguards out there on the slopes. And then you just have the funny people on Instagram reels saying, computer, give this guy a great day. Like that, that comedy is great. Did you see that that guy ran into another creator that was doing the... Yelling at him? Yeah, yeah. Computer, computer, give this guy a bust down AP, something like that. It was just like very, very funny. And every time I see one on a truly viral Instagram real, I'm like, okay, there's something here that's unlocking a different form of video.

Not unlike when we saw the first GoPro go out. And we started seeing truly crazy first person video of surfing, which like was just impossible. Or like, I made, I would go scuba down. Speaking of surfing, I went surfing with Rocco Baselis. Rocco's Basilis. Yes. The Luxottica exact and air who led the project with Meta. Yeah.

He took out a new pair of the Oakley's, and we did lose them briefly, but we recovered them. They need meta crokeys, right? Isn't that what they're called? Crockies. Yeah, you need the meta crokeys. Let's get on that Zuck. But anyways, Bloomberg reported that Meta and Luxottica were discussing doubling production to at least 20 million by the end of this year to meet growing demand. So they're selling.

They're selling. Give them credit. Give Zuck some credit. And again, I saw somebody had effectively jailbroken their meta-ray bands and they hooked it up to a Mac Mini and they were buying stuff. I've talked about this at least once on the show. But again, there's, it's funny to watch somebody jailbreak a device to do something that the device will obviously do like in the relative near term.

That's like the part of the entire thesis behind the. device. Yeah. Well, I mean, I don't know. Will it actually tell you when you get an eye message in the next three years? Is that coming? I don't know. It might not.

Those wild gardens might hold for a while. Do you think the meta-ray bands will outsell sunglasses broadly? Or is the TAMs sunglass buyers? Everyone has one pair of sunglasses, so you sell one pair of these to all the people, or is it, and some people just don't like sunglasses so they don't wear them? or are they like Tam expanding in some way? They've got to be, ah, that's a good question. Yeah, and I will give you, assume the next version,

the version beyond that is like truly indistinguishable. Yeah, so my framework has been that the immediate market of people over a billion people that just wear glasses daily so that they can read feels extremely in reach, right? Because you're wearing this all day long. why not add some functionality to it? Totally. Certainly there'll be some Luddites that just want the analog magic

of just a pair of plastic with some glasses in it. But then, yeah, I don't know. It's funny, I love the way sunglasses look, but I've never been a sunglasses guy. I just don't. Really? I rarely, rarely wear them. I still, once or twice a year, we'll buy a pair

because they look cool, and then I don't actually end up wearing them. I like sunglasses when it's bright out. I just like the functionality of them, but I do lose them constantly. Oh, you're one of those guys. Yeah, I'm a sunglasses loser. But the question is like if you comp to the Apple Watch, like it feels like more people are wearing watches than before the Apple Watch

because watches were sort of like a niche. You had to be into watches to wear one because everyone had the phone in their pocket and they were like, why do I need a watch? And then once the Apple Watch came out, a lot of people were like, well, I want a Super Watch on my wrist. I want a computer on my wrist. I want the iPhone. Bus down Apple Watch. I think we're onto something. They're doing Orange. They're doing Armes Orange. They're selling very well in China. The bus down. They did the gold. It was $10,000. Do you remember this? And it flops, right? The Apple Watch edition. It was $10,000. Gold plated, solid gold, something like that.

I don't know if it flopped. They did discontinue it, but it... Getting roasted in the chat. I like sunglasses when it's bright out. Jordan doesn't like sunglasses when it's right out. That's the hot tape. That's the bold statement. Heavy hitting analysis.

But I like the idea of the bust down Apple Watch. Get it at 100K. The problem with the gold Apple Watch was that you buy this thing for $10,000 and it immediately loses all its value because it doesn't even run. the latest software and it just stops working after like five years, which is ridiculous. Like if you're spending $10,000 on a watch, you want it to be useful in 100 years. You want it to be around for a long time. Should we read through Jeremy's actual response?

Oh, did he post again? Because I read his, oh, okay, so he did talk about this. Really quickly. Label box, R. all environments, voice, robotics, evals, and expert human data. Label box is the data factory behind the world's leading AI teams. And yes. Jeremy says, responding to action.

men charging two and 20 to own the mag seven he owns google amazon and meta he says this is good capital allocation but it requires permanent capital people don't actually want the best returns they want to feel clever and do some some like weird little thing that makes them feel interesting or different or something but sometimes you just got to do the obvious thing and just be really strong on it i always admire those managers who have been paid two and 20 for like 40 years to just own berkshire it's awesome because they were right but they were and they were providing a service the service is that the LP does not have the personal confidence to own Berkshire on their own. So they actually need to pay a huge premium for someone else to give them the confidence to own Berkshire. It's just a tax that they

pay for not having the conviction to do it themselves. And I think that that's great and solves a real problem for a lot of people. I love you. Well said. Let me tell you about CrowdStrike. Your business is AI. Their business is securing it. CrowdStrike secures AI and stops breaches. We got one more post. Yeah, yeah. Before we. we bring in our first guest. We can pull this up. People are reacting to the men's luge doubles.

They're saying it's one of the most baffling things I've ever watched. National champion speaker says, how do you find out you're good at this? What's the conversation look like? I really want to know. I didn't know this. Doubles is funny. I guess I may have seen this before.

I remember as a kid watching singles. But this is baffling. There's also something called skeleton. Like what are you, what are you? I think it's an evolution. I think it starts with like a toboggan and you have like a bunch of people essentially in like a rowboat, you know, in like a long, like if you're doing crew, you have like four or five people. And then you're just like let's do one less. Let's do one less.

Let's optimize and reduce weight. And then they're finally down to just two people and they're basically just on this like sled together. And yeah, I guess you get here. But very, very funny. What else is going on in the Olympics? personal injury attorney in his 50s is on the cusp of becoming the oldest American Winter Olympian in history. All he needs is for one of his teammates to slip and fall. This guy is elite.

Remember the last Olympics where there was that great meme that came out where it was like the one person with like all the gear and all this other stuff? And then the random guy, I think from Turkey who just showed up and was just like and just like was, I think you won the gold or something. I don't know. That might have been too poetic. But modest proposals. It's an incredible tweet. I feel like being a personal injury attorney is probably a great gig if you're in one of these kind of fringe Olympic sports.

You want to have some flexibility in your schedule. You want to be able to make enough to reinvest into the sport. This guy is clearly locked in. This guy is amazing. Okay, so Rich Ruhonan is a 54-year-old personal injury attorney who plays an indispensable role for the U.S. curling team. He cooks the players' omelets before important matches and grills steaks.

after huge wins. He handles the early morning grocery shopping so they can sleep in. What a team player. He chauffeurs them around in a rental minivan. He even pays for some of their flights and hotel rooms. But those aren't his only jobs. He is also the most unlikely curler at the Milan Cortina Games, where he could become the oldest American athlete in Winter Olympics history. And just in case people don't believe that someone nearing retirement age could possibly be an Olympic athlete, Rojohnen answers the question on a homemade t-shirt. I'm not the dad and I'm not the coach, he says. But he is an American curling legend.

Rojohnen first appeared in the national champion tournament in 1998. He's been doing it for over 20 years, maybe. Won it a decade later and has been a fixture in the sport since long before any of his teammates were born. What he had never done was curl under the sport's brightest lights. Rohan just missed qualifying for the Olympics several times. His most recent heartbreak came before the 2020 Olympic Games when the U.S. trials mixed in doubles. 2020.

22. When the U.S. trials mixed in mixed doubles came down to the last shot, Rohan decided to focus on his law practice in the senior circuit. At 50, he finally gave up on his Olympic aspirations. I honestly thought it was over four years ago, he said. Well, I probably thought it was over eight years before that. Then he got an unexpected call. He's back.

The captain for one of the nation's up-and-coming teams was battling a rare autoimmune disease and needed a substitute. On paper, the Gen Xer wasn't the most natural fit. The other curlers were all in their mid-20s, roughly the same age as Rohan's children. He even has a few decades on Team USA's coach. A few decades. But on ice, he blended right in. So when Skip Danny Casper recovered from his illness in return, Ruhon stuck around as the alternate. it. Team Casper then qualified for the Olympics and became Team USA.

Rohan says throwing the rock at the Olympics would be the single greatest moment of his entire life. Rock. My kids know it and my wife knows it. I'm going to start using, I'm going to put on curling at home and just start using some of the hardcore terminology. Yeah. Just be like, ah, I can't, I can't.

You know what happened a couple decades ago, because on CNBC, which, all the hedge funds watch after the market closed, they would just roll over to NBC coverage when the two companies were together. And they would show curling just because of the time change, that's what was on. And so all these Wall Street guys became obsessed with curling and got really into it, started playing bets and stuff. It's a fun story. Yeah, I wonder how big is the gambling and sports betting around the Olympics? I don't know. I saw some numbers for the Super Bowl. It was really, really big. But you have to imagine that the Olympics is also huge. While you look that up, let me tell you about turbopuffer, serverless vector in full-tech search, built from first principles on object storage,

fast, 10x cheaper, and extremely scalable. And our next guest is here so we can come back to Olympics coverage after. But let's bring in Brian Johnson for the TVPN Ultradome. I will tell you about vibe.com while he walks in. We're D2C companies, B2B startups, and AI companies advertise on streaming TV, pick channels, target audiences, and measure sales just like on meta. And you might be doing some advertising soon because there's a huge launch. How are you doing? Hey, I brought you guys a gift. Thank you. What'd you bring? Are we doing shots? We're doing shots. Amazing. Amazing. Yeah. Have you done a shot of olive oil? I haven't. Take out our... I've never done a shot of olive oil. What are the benefits? Break it down. Why would I do this? I like olive oil on a steak.

Yeah. I mean, is olive oil a part of your life? Only in the cooking context. Yeah. But I should just be drinking it? Not doing shots yet. No? What, what are the benefits? And what is this? Did you grow the olives? Is it cold pressed? Just this much? Should we not? Should we not do a little bit more? No, no. I want to. No, no, no. This is live TV.

15 ML. Yeah, this is, this is the precise still. 15 ML. 15 ML. One tablespoon. Okay. And this is going to do for it. It's the, I think it's the superfood of superfoods.

Okay. It does, I mean, just like you look down the list of things it does. Okay. It's just good for almost everything. Okay. So. Is it high calorie? How many calories?

120, 130 calories. Okay. Calories don't scare you, though. No, I mean, it's 15% of my daily caloric intake. I think, I consume more. olive oils than any food. Yeah, how many, how many, like, shots is that roughly? So, 45, so three tablespoons a day, 45m. 45m. 3 shots a day. Okay. So one with every meal. One with every meal. Okay. Well, cheers. Cheers. Cheers. To Brian Johnson,

blueprint. Cheers. Cheers. Down the hatch. Delicious. That is good. Smooth. Very smooth. No problem. I could do that. No bite. And so, and so I just drank 15 milliliters of, of, of, uh, of, uh, of olive oil. And I'm going to live forever now, right? Basically. So now I can go back to dieterate and nicotine. One shot at one. Do you feel the sting now?

A little bit. I do. I do. Like a little cough bubbling up. Yeah. Yeah, perfect for broadcasting. Yeah. It's a good sign of a good olive oil.

So we source this and both hemispheres. It's always fresh. Oh, okay. So it comes off. Yeah. Yeah. Yeah, we're more specifically. This one, um, uh, this is some chili.

And the brand is called snake oil. very funny. How does this fit into the overall blueprint, what do you call, empire at this point? I mean, the whole thing on blueprint is we are trying to basically say, what is the evidence say for what you can do to be healthy? And we just went after the best foods,

the best therapies. And what I've found is basically most things don't work. Most things are bullshit. And so we've tried to narrow in to focus on the most narrow number of things to do, and olive oil just stacks. It's like one of the very best things you can do in life. Is part of why this isn't pushed more aggressively by the sort of health industry is that

it's just kind of hard to deliver. A lot of people don't want to just be consuming oil. And that's kind of like the bit is that some people are selling pushing snake oil. Yeah. That's yeah. I mean, yes. I mean, people I think have a natural aversion to fat still. There was a long period of time where fat was bad. And you saw marketing 30% less fat, 40% less fat. So people think, olive oil fat therefore bad. Yeah. So there's like hang-over. I had a buddy that had internalized that so much

that he was on an almost entirely fat-free diet. He got his labs done. He had like low, his test was in the low hundreds. All he did was add like an extra avocado a day. That was the only thing he changed. His tests like went up like by pretty meaningful multiple. So walk me through, you know, average American might spend, I don't know, $10,000 a year on food,

What does it look like to get into the blueprint ecosystem at that order of magnitude? Then what can people do at $100,000 a year? And then I want to hear about the million dollar a year all in plan. Well, we announced that today. Okay. So it's called Immortals. Immortals. A million dollars a year.

Okay. And it's my exact protocol. It's your exact product. My doctors, my concierge team, all the testing infrastructure. So blood work too. Everything. Every test, every therapy. And so it's, I mean, this has been really hard to build.

because it hasn't existed. So we just had to scour the evidence, build out the infrastructure globally. And this is basically when someone says... I've got no feedback. Let's turn that speaker off. Sorry, we're working on bringing the soundboard to life in the TBP and Ultram.

Sorry, continue. Yeah, so the... I guess, like, if you look at it through different frames, like one is we measure probably around 250 to 300 things that kill me. It will kill you. It will kill you. They actively kill you. Okay, everything in the gas station.

Yes, basically. I mean, everything in the modern world. Yes. And so if you look at it from like, don't die, okay, so what things actually cause you to die? And then if you look at it from the positive things of what makes you live, that list is probably like 250 things that kill you and 250 things that make you live well. And if you take on that burden as an individual to say, I want to do all of these things that make me, avoid the things to make me die and do the things that do make me live, well, that's a, like a herculean task. So this program basically takes all of those things, makes it easy. So you just show up, it's like, what do I do?

And the system tells you what to do. Okay. Yeah, what is the, what does the program look like more specifically? Like what, how is? Does it start with blood work? It's very, so you're doing three people, right? Yeah, three thoughts. Three to start, what do their weeks, months, year look like?

So we'll do first, it depends on who the person is. So we have an interview process because the person needs to be willing to, to work. Yeah. You can't just, like, show up and, like, give me a pill. You have to put in probably around, like... I was promised immortality with a single shot.

Yeah, yeah, yeah. Yeah, you're telling me... That's why it's called snake oil. Yeah, I got the best. So we have an interview process. We'll make sure the person's willing to put in the work that they've got a pain tolerance. You know, they can, like...

You know, like, they have to be willing to do stuff. You know, sometimes therapy's hurt. Yeah. Sometimes it hurts to be hungry. Sometimes, like, so there's some discomfort. And then they, uh, we'll choose the three people. and then we'll do a comprehensive baseline. So for me over the past five years,

we are counting yesterday. We have a few billion data points on me over the past five years. And so then if you say what of those few billion data points are usable, probably a few hundred million. But still we have a few hundred million data points. And so what we've done is to date,

I guess like years ago, that existed in spreadsheets and files. We've now set up an AI system where we take all the context and now we have this inference engine to say like what relationships can you find in all this data. And so what we're building is an AI, a Brian AI,

that basically watches after you 24-7. So you start, you do a whole bunch of comprehensive baselines where are you at in the world, and then we start doing targeted protocols. Like how do you isolate cardiovascular health and how do you look at, you know, so on and so forth. You're going to find issues as well where the person may have a surprise finding,

how do you address that, they'll have some anomaly. So then we just get after it. We just say, like, how do you basically take the baseline measurements and make all of them better? Yeah. Do you want these people to be local? Can they be anywhere? Anywhere.

Cool. Are they all over the world or U.S.-based? Is there advances? We're open. Open to everything. Okay. Interesting. How are you thinking about AI?

When I think about a product like snake oil, I think not a lot of AI disruption risk should not be sold off in the SaaSpocalypse. You're not going to vibe code an olive tree. the land exists, the tree exists. You have to select it, press it. There's probably a lot of people involved that there might be some automated ERP system at some point. But how are you thinking about the impacts of AI on your business, your life?

I know that that's a big piece of the don't die philosophy is that we are going to go through a change, but how are you processing the most up-to-date advances in AI? Yeah, you're exactly right. It is like this olive oil we source from farmers all around the world. that go through extensive screening. We test every single molecule we manufacture. We third-party test.

So they're all very manual processes. And then on the other side, we have AI where you take all the data, you do the inference engine. You try to find new insights that's never been found before. But we're this really weird mixture of leading edge AI and duct taped together of all the manual things. Like, we'll go into someone's house. You measure from mold and toxins and water toxins and air toxins.

You look at materials in the house. So it's still very manual and automated. So it's kind of a cool world where we're insulated to some extent in terms of software. You just stand it up. You're very vulnerable to speed. Where this one, you're dealing

the physical world constraints. You have to bring together all these different disciplines. Yeah. And there's also this interesting break in that if you want to measure the change in someone over a year and you want to do a year-long study,

like even if you have a million Einstein's in a data center, you have to wait a year to get those results. I'm sure there's more things that you can do digging up historical data, all the data that you have. But there is just this natural break on progress when you have to wait for results and then feed that back in. 100%. Makes sense. You talked about testing. What are you finding in organic products? If something's organic, do you just automatically assume that it's not going to kill you? I assume it's worse than not

organic. No, I'm serious. This is a junkyard dog theory. I'm vindicated. It's true. Honestly, organic only looks at, you know, a certain subset of toxins. It's not all toxins. And then it's a very limited screening protocol. So it's really a marketing tactic. When we test organic, it typically performs worse than non-organic, on many variables. So, no, I think it's worthless. I really is as a marketing protocol. And I would say more broadly, I don't trust anyone. Literally, I don't trust marketing. I don't trust brands. Trust no one. I don't trust technicians. I don't trust Practitioners, like, when we go out there, honestly, it just, that's why this protocol is, we've built it in such a meticulous fashion. We don't trust it. We don't trust ourselves. Just trust the data. Do our protocol. See what it produces. But when I go in the world, it's like, this is scary.

Where do you get things like produce, things that aren't necessary? You know, you're not going to add apples to the blueprint website, right? If you want to eat an apple, what do you do? So there's no safe place. Exactly. Brian Johnson. Yeah, we... No safe place to eat an apple. No apple is safe. Like we, you know, people identify, like, you know, like plant-based proteins, have high toxins.

Like, because they isolate that because you can test it. But if you eat a carrot, you can have the same, if not more toxins. And so it's just that this fresh produce is not measured. So people freak out of what they can measure. But if you, we've been testing fresh foods and packaged foods and, like, toxins are throughout. Yeah. And so it's just a very skewed perception on where toxins are at. But I typically buy, with a farmer's market, we'll do, you know, airwam, do whole foods, when we test these fresh foods.

So we do want to start growing our own. But even then, it's hard because you're in LA, it's a little rough. And even those systems themselves, like, someone will try to get an escape route and say, like, well, I've got, you know, I have a cow and a pasture, fred, irrigated, whatever. Like, they can escape the toxins within the environment. So it's just very, very hard to create an isolated, non-toxic. There's lots of toxins at risk out in the real world. Talk about other risks in the real world. Have you ever been frame-mogged?

Sure people have tried. That is so good. We should put that on the list. That escaped our risk. For a million bucks, you've got to protect me from frame-mog. That's like the first thing that I want from a protocol. Yeah, what a blind spot we had. We should have picked that one up.

Yes. How are you processing the looks-maxing virality that's going on. It feels like very tangential in some ways. There's some, there's some overlap. I've seen, you know, the looks maxers say, don't worry about the macros or the micronutrients or the toxins at all. All that matters is how much protein you're getting because they have a very live, live, fast, die young, but there's still some overlap and that they're trying to look good. We've talked about this before. Well, yeah, in many ways, I feel like you've been, you've been looks maxing. You wouldn't necessarily call it that, but you can just see, you, every,

every now and then a photo will go viral where it's like you every six months and people are like, wait, it's working. So in some ways it's kind of marketing. There's a lot of work kind of under the surface that's contributing to that. But at the same time, it's very clear, like people want you to look better every month or they're going to say, like, hey, can I really trust this guy? Yeah. I mean, there's two things. One is I'm like you guys, your disposition towards advertising, you know, it's like yes and.

Yeah. Like if someone's out there doing their thing, you know, like more power to them. And like whatever their jam is, if they're doing, look-smacking, like, do your art and be beautiful. That's great. And so, yeah, I'm very much a proponent of, like, let humans be beautiful in their manifestation. Sure. Like, we're basically, we're saying that, you know, as we all realize, like, something's happening in the world right now, it's big with AI. Yeah.

In some form or fashion, it's evolving the world. And our primary hypothesis is as this evolves, the major shift is humans are going to want life. Like, you know, if AI takes our jobs or they take what we do and we want to find new identity, there's going to be a major shift towards don't die. And it's going to become probably the most dominant ideology in the world very quickly because we're going to be pointing ourselves towards vibrancy. That is an interesting encapsulation because it does feel a little bit like the two paths meme with the dark castle and the bright, you know, palace, in the sense that a lot of the looks maxers are saying they're black-pilled.

They don't believe that there will be a future. So health actually takes a back seat to looks because that's what helps you get ahead this year, this month. And it's very short-termism. It's very short-term thinking. You've always framed it from day one around very long-term thinking. So even though I think people might say, oh, well, like, he's trying to look good. That guy's trying to look good. They're similar.

There's actually a huge divergence in the philosophy. At least it feels like that. I don't know, Jordy. What do you think? I had another question. Please. Take it down in your direction. So you have this, you're starting with the ultra-premium product, the million dollars a year, and I can see all the justification for that.

I imagine you want to go more and more kind of like down market over time so that somebody, if they have a million dollars or $100,000 or $10,000 or $1,000 or $100 can kind of benefit with the program. It feels like there would be an insane amount of demand. for something like right today, a $1,000 program, something that's effectively a PDF that somebody could pay for, download. And because they paid for it, we talked about this yesterday because Ty Lopez was in the news because of his whole, like, Radio Shack debacle.

And I was saying when I was probably 18 or 19, I paid for a PDF of a workout plan. And because I paid for it, I followed it really closely and I got a lot more value for my money. Whereas I feel like for you, the second that you launch like a traditional info product, you will be attacked, even though, even though I think that at $1,000 you could put something together that would provide somebody potentially tens of thousands, hundreds of thousands, right, just because in the health game,

if you just buy a PDF and then that gets you to sleep an extra hour a night for the rest of your life, like the economic value creation or the money that you're not spending on hospital bill, or things like that would be tremendous. How are you thinking about that? Because, again, I think that there would be value there. For me, paying, paying again for that $1,000 product that I could just kind of follow and learn something from, the value would be there.

But how are you thinking about it? Yeah, that's exactly what we're doing. And so the target audience we're after is those who want to say yes to health, and we say, do this. Yeah. So we're not, if you, if you want to go out and find, source your own peptides, inject yourself, you know, and like do your own protocol, like do that.

We are going to deliver autonomous health. And so like there's self-driving cars, they're self-writing software, this is autonomous health. So we're building AI that just says, do this? And so do you remember early on when Facebook did that study where they said 300 likes on the platform and they could predict you better than your partner could? This was like the first time social media showed the power of prediction. And so there's an equivalent question for us is, how much data do we need on your body,

like of blood, of wearables, of whatever, to predict you better than you can? And how do we stitch this together? So I think the free version is like some minimal viable amount of data that goes into our AI inference machine, and we then say, do this, and we can get higher yield than anything they could ever do themselves. And once that happens, once you take away more, you're like, I'm never getting into with a human driver ever again.

It's very clear. So this would be the same thing where once you deal with the immortals of the product, you be like, I'm in. Like definitely is the better control system than anything I can produce. How are you thinking about wearables? Most of the people that come on the show, or be rocking an Apple Watch, maybe a whoop or an aura. It's very, very common. At the same time, it's missing visual. It's not like pulling in, it's not like the health decisions that somebody makes every day

can't always be picked up here. It'd be great to be like, okay, what did this person eat? What time did they actually go to bed? All these different things. What do you think the future of health wearables is? Yeah. So that's exactly, again, what we're building with this first three people and immortal. If you say, so my life over the past five years has generated a few billion data points.

A few hundred million are useful. that has created a dimensional representation of a human that is higher fidelity than anything ever produced in history. And so we've taken that model, we're going to replicate it with others, and so we're going to try to basically

cast this gigantic net of data capture. We'll bring it all in and say, where's the highest signal inputs, and then we'll scale those things. And so, like you're saying, we may find that lighting at bedtime

is an incredibly important factor. and like, you know, right now people don't really think about that or the lighting environment in the room and you can do like specific photon counts. Yeah. And so we're going to try to tease out like where are the little teeny tiny things that have this gigantic yield. But it's all about data collection.

It's about the inference engine and it's about people who are willing to say, yes, I'll follow the protocol because it's inherently better than what I would do myself, or that it's guessing. And then we'll have everything... Did you ever think about a program where an actual live human just follows around the person in the program

and is effectively there 24-7? kind of like effectively a nanny for the human because it's like, hey, like, you say you're doing everything right, but like right before bed, you had a phone just blasting light in your face. It feels like that's kind of what you can get to with wearables over time, and you can probably get there today. But I think a lot of people, even if they do a program, will still be kind of sneaking little things in throughout the day that are working against them. And they even forget, you know, they're like, I do everything you say. Like I, you know, I finished my fondamil the day four hours for bed and blah, blah. And I can't sleep.

You're like, you're hiding bright lights before bedtime. Yeah, exactly. I can't sleep. Like, what do you do before bed? I'm in my bed, like, you know, scrolling, TikTok. And okay, well, that could be the source. What's the current thinking on peptides? There's a variety of them,

simiglutide all the way down to Reda. What's the most up-to-date, like, evidence or benefits costs that you've seen? I mean, generally, peptides are fantastic. They are drugs, drug equivalents. They have drug-like effects sizes. And some peptides have done the clinical work like Dezepotide. Sure. But then there's a whole bunch of the class of peptides

that we have no human data on. Really? Yes. So the thing... The people are taking a lot of, right? A lot of... So we're going to get some human data. Is that currently RETA?

Is that the one that's, like, not... I don't know about RETA, but... Or there's like even different ones, like that I'm not even thinking of. There's a lot. Okay, there's a lot. There's like a long tail of like all sorts of slightly different, slight one molecule change or something. And it's currently, it's all the rage.

Yeah. The Chinese peptide thing is a whole meme in San Francisco. It's a whole thing. Yeah. Yeah. And so my take on this is if you do it, like, you know, be cautious because we do not have them characterized. Like when you hear about a drug that does blood pressure control, you hear all the benefits

and then you hear like in the commercial you hear like this may cause. Yeah. Or kidney damage or like, you know, like you hear all the side effects because it's been well characterized. So it's been, it's gone through clinical trials, you understand the pros and the cons and you make that tradeoff. With peptides, you don't know. Yeah. It's like your bro-buddies like, it does this amazing thing. And the whole supply chain is incentivized to only mention the fact of like, hey, by the way, this could do this terrible thing. Yeah. So if you're doing it, proceed with caution because they're not characterized, we don't know. It's not to say they couldn't

have benefits. It's that you don't know. And that's the worst thing in health is the blind spots. People want to chase the positives, but rarely adhere to like, you know, there could be some downsides, so it keep costly. Wasn't that the name of Marty Mokorey's book, Blind Spots, the new FDA Commissioner? I'm pretty sure that's what he called it. Do you have confidence in the FDA right now? Do you have confidence in the FDA's ability to actually collect all the data and make good recommendations? Because there's some things where I totally agree with you. I'd much rather take the one that's gone through FDA trials been approved.

It tells me the downsides. But at the same time, people are like, but I also got all this sugar. in my cereal for years. Like, do they sleep at the wheel back then? Like, what's going on? Yeah, I'm guessing that we, like, the FDA has a very valuable purpose in society. They do, they do good work. I'm guessing.

They stopped the literal snake oil, famous. Exactly. Yes, they did. Yeah, like, they've had a positive role. I think that we will exceed them in value in many core areas. Okay. Because they can take, you know, well-structured, well-funded clinical trials. Yeah.

But then other things like peptides that are very promising. they're not going to have the clinical work. So what do you do? So if we could get, you know, a certain number of people in the platform who are doing peptides, great. And if they can start adding dimensionality to their bio-collection, we could have the most valuable data set. So it's immortals is the product. That's the high end right now, but then also the free version we're building. And our goal is to create the world's largest data set across all these sectors.

And then you basically can create an ecosystem where the person could be paid for their data. So they collect the data, they're starting through the experimentation. companies come in and buy the data they give out. So we're trying to create this financially incentivized ecosystem where in the world right now, you can't go anywhere without somebody or something trying to take advantage of you. It's just everywhere.

Try to think of a company that genuinely acts in your best interest. Unequivocally, always shows up to act in your best interest. Diet Coke. It's always there when John needs it, except for the flight attendants. says, how about Pepsi? Yeah, that's true.

We're going to try to stand in that role where we're also jaded because everyone's trying to take advantage of us. So we're going to try to stand in that role that you can unequivocally trust us. We will always act at your best interest. And if we do that, then I'm willing to share my data. I'm willing to engage in the platform and do the exploration. It's a high bar. I want to run through kind of a lightning round of questions.

What have you learned from Ray Pete? That there's a lot of repeaters on X. Yeah. And they really want... You to follow their... Yeah, they do. They want you to peat out? They do, yeah.

So they're definitely evangelists for... Ray Pete has a lot of evangelists. Carrots, underrated, overrated. Yeah, carrots are great food. You know, they're not benign. Like, no food is benign. It has... Yeah, pros and cons.

Thanks, that. What else do you got, Georgie? Where would you live if you weren't a public figure? And you could just optimize for health. Yeah. You know, Kate's here. Hey, Kate. Hey, Kate. Yeah. We were just having this conversation. She's from Australia. We were just having this conversation trying to figure that out. It's really an interesting question. Yeah. Yeah. L.A. is certainly not the place if you're purely optimizing for health. Yeah. Yeah. That's very true. So it has been top of mind for us. And we are trying to figure out,

what if we did something next level, where would we go and have we do it? I would have an answer yet. Yeah. Yeah. Yeah, I think it's. it's an important question. There's data on golf courses. I don't know if you've seen this. I have. If you live near a golf course, it reduces your life expectancy

because they use such heavy pesticides on the golf course. How close to the golf course? It's one of my town. That's probably not great. These studies were done on, like, people that live in, like, a golf community. So, like, you're living on the golf course,

and they're basically, you know, golfers just wanted to look pretty. They're not asking, like, hey, what did you do to make it look so pretty? Yeah, how are you, uh, golfing?

What are your long-term kind of concerns around the health of us being in this studio? 11 to 2? Rubber smell? Yeah, you smell it? Yes. So that is... I think it's these things. Honestly, I love that question so much.

I would love... And I've thought about it a lot, and I would love to work on this because I have an LED light right here. It's so... It's so... It's laughing in our head. I don't know about these lights. Maybe you can consult on our next video. We're moving soon, so...

I would love to come in here and do a comprehensive analysis. Oh, my God. No, it would be so good. No, the air quality. I mean, we spend a lot of time in here. And we plan to spend a lot of time. Brian's going to come back and say, you guys have 10. We're going to make 10 years.

You're like 9, 8, 7. I mean, first of all, your CO2 levels for sure are too high. Sure. I can fill the CO2, right? Kate, do you fill the CO2? Yeah. Yeah. So the space is too small.

I have those in my, yeah, I have the meter in my house. Yeah. I'll move around to the different rooms to kind of track it. And I got a hole, like, I've, done a bunch of work to the HVAC system. And over a thousand is going to impair your thinking. Totally. Wow.

So by the end of the stream. But that's obvious from the stream. You watch it. Like these guys take so like. I like sunglasses right out. What do you think? How are you thinking about parasites? There's tons of health influencers that will make parasites their whole thing.

And that like every, the solution to every problem is like got to fix a parasite. Yeah. How are you thinking about them? I've not done a deep dive into that. I don't know. These are people who have parasites and they're trying to rid of them.

The argument is everyone has them. Some amount are probably helpful because they'll like eat heavy metals and then you'll eventually kind of release them, things like that. But you should do a deep dive on that. Do you think, how do you cycle supplements? Right now I'm taking althenein, glycine,

and a number of other things before bed. it's been super effective at getting REM and deep sleep up for me. But I'm curious when you find a supplement that is working, and it's measured in my case, how should you cycle it? How do you think about cycling it to make sure that you continue to get the benefit? Yeah, this is one of the questions we're asking the inference engine, is because we've done a whole bunch of these different cycles.

And it's difficult because it's never truly a, a non-confounded experiment, right? There's always some confound. And so when you're trying to tease out little tiny signal, you do need to be robust about the analysis. So we don't know. Like, you know, we have like some

short-term data on that, but it's not strong enough that I think I'd express an opinion. So we're hopeful that the bigger data sets will give us insight. Same kind of question on fasting. I've started, I inverted the fasting schedule because we do the show.

We'll have like a big breakfast at 8 a.m. We'll have, I'll have a second, at around 2.30 and then I won't eat until the next day at 8 a.m. So typically somebody might start eating at 12, have another meal around dinner, and then wait until the next day. So I flipped it. Any learnings from that personally? The marker I would look for that probably is.

And to be clear, part of the reason is I actually, there's a functional reason, which is the way that we do the show, I need to be like powered up. Fueled up to then podcast for three hours. Yeah. But then I also don't like having a big dinner and going to bed. Yeah, yeah. You guys work out in the morning together.

Yeah. 6.30. Yeah, at 6.30, huge meal. Huge meal at 8. 8 to 9. Yeah. Anyway, thank you so much for coming on the show. This is fantastic.

Lots more to talk about. Yeah, we can go all night, all day. Let me tell you about MongoDB. Choose a bit of this. We'll finish this at the end of the week. Flexibility and Scale with best in class embedding models and re-rankers. MongoDB has what you need to build. what's next. And without further ado, we have Matthew Zaitland, the correspondent from

HeatMap News in the Restream waiting room. Let's give it up for correspondence. I'll tell you about Figma while we wait for him. Figma make isn't your average vibe coding tool. It lives in Figma, so outputs look good, feel real, and stay connected to how teams build. Create codeback prototypes. Apparently, Tyler tested the CO2. We're at 790. We're at 810 right now. 810. And rising. You caught us on a load. It's going up. It's going up. He said a thousand. He said I was good if it's under a thousand. I was told to see what it was at the end of the end of the show.

Okay, okay, because we will add more CO2 as the show goes on. Edge in the chat says, Jordy has three days and one. He's figured out how to manipulate time. You are manipulating time. Anyway, we have our next guest in the Restream Writing Room. Let's bring him into the TBP and Ultridome. How are you doing?

Sorry to keep you waiting. What's happening? I'm doing great, guys. Any opportunity to follow up Brian Johnson is one I will take. It is a fun story. He was your opener. I mean, you've clearly been doing a lot of looks, maxing. What's working for you?

You know, I do friends. Actually, John and I play a poker game with a Ray Pete, Ray Pete, an accolite. So I've been at least hearing about peeting, you know, forever. Early. I've been, I immediately resonated with the work of Ray Pete. Yeah. Have followed a lot of it myself. I think it would absolutely astonish and scare,

Brian Johnson, how much sugar I have. That's kind of the main... One of the main takeaways from Ray Pete's work is that sugar is not nearly as bad as many people would say and may be actually great in a lot of ways. So I've been running that experiment. We'll find out. But it's great. I have a two-year-old at home, so I can't eat cookies around him.

No, I can't... It's a... Then he starts asking for them. It's getting in the way of my peeding, actually. I had a friend who had a bunch of kids and wound up just upset. with dark chocolate because it was the only thing that was at all sweet that he could eat that the kids wouldn't immediately go for and consume all of. The explaining to my four-year-old why I can have cookies before bed, but he can't is not going

well. That's a tough one. Yeah. I'm still waiting for that level of cognitive development from my son. We're not really at the explaining stage yet. Yeah. Well, anyways, it's great. It's great to me.

We've covered a bunch of your posts over the last six. six or 12 months and always always enjoyed them. Why don't why don't you give a quick intro on yourself and then you know we can talk about all the stuff that you talk about. Yeah my name's mad Zeeland. I'm a reporter at heat map. We're a climate and energy focused newsroom. We report on climate and energy every day and I mostly write about you know energy policy generation a lot of data centers. You know we've kind of really reoriented what we're doing around data centers. That's where all the demand is coming from. Yeah, when did that reorientation actually kick off because it felt like it became a story sort of mid last year, but have you been tracking it

longer? Like, when was the inflection point? So I think around like summer of 2023, I wrote a story about how just load growth was coming, that we'd essentially had flat electricity demand for in the 21st century. And when I wrote the story, it was more about electrification of cars and home heating, you know, heat pumps, stuff like that. Yeah. Stuff that climate people are really interested in. And then, and data centers to some extent, also factories or something I was really looking into as a big electricity demand. And then, yeah, it's, I mean, it was since the launch of GPT3, it became pretty clear that data centers was, was where it was at as far as the load growth story was.

Yeah. And then how, like, how widespread is the focus of AI data center energy consumption? because it feels like if it's going up next to your house, you're going to be calling your representative. But for a lot of people, it's abstract, they maybe see an Instagram rail, some slop, and they're like, I don't like it, and I don't want my rates to go up.

We've been kind of wrestling with this because, in general, I think AI is very good. There's a lot to be excited about. I think that more intelligence having people globally, being able to access intelligence, even if they're accessing a little bit of slop, is like genuinely good. But at the same time,

I understand the people that it's like, what's the benefit of having a data center in your backyard? It's like actually probably close to zero, or negative, because it doesn't, I don't need the data center in my backyard. It's not exactly pretty. We're not making them look like cathedrals yet.

Maybe we should. And I can just, if it's out somewhere that I've never even been to, I can still get all the benefit of it. And so, so yeah, I think these are things that the whole industry. is wrestling with, politicians are wrestling with, and for good reason.

Yeah, I mean, so the way we kind of, I like to look electricity prices. That's kind of a nice, solid thing to focus on. And obviously, they've been up in a lot of parts of the country. You know, you guys are in California. I grew up there. I hope you don't have a pool at home, you know, anything around heating or something like that, a pool or something like that, a disaster as far as prices go. But no, where we've seen electricity prices.

You're saying we've got to replace the pools with data center. Exactly, exactly. You need a blackwell rack. Or just a stack of Mac minis. Of course. John can send you over a Mac Mini. But no, where we've seen kind of electricity price increases, California has been a big one, and the Northeast have been big.

Those are not areas with lots of data center development. I think it's in part because the prices are so high. Where we have seen both data center development and price increases has been kind of in the mid-Atlantic Midwest areas. This is Virginia. This is Ohio. This is Indiana. This is areas where they're all in one electricity market called the PJM Interconnection.

And the way this market works is that these utilities have to procure capacity in advance. And that market, that capacity market and the ability to get new generation online there has been completely messed up. And so we're seeing these auctions generate billions of dollars of revenue for the existing generators. and that is directing, that is translating pretty directly into higher prices. New Jersey has probably seen their prices, residential prices increase, you know, say 20%. And that's because they're in a system that is not incorporating the data center demand that well. But there are other parts of the country where electricity prices, you know, haven't gone up as much. How have you been reacting to some of the big AI companies, some of the hypers, just start to put out statements saying that they will pay

above market rates, subsidize energy. Do you think that that's, going to be effective? Can you just do that and then keep the prices stable? Also, a little bit of grid history here would be helpful because it feels very intuitive, but I believe like we sort of have a common carrier rule where even if I'm doing, you know, research and you're watching Netflix, like we still pay the same price. We don't put like a moral weight that I'm aware of, but any of that would be helpful. Yeah, so typically, you know, residential users pay the same kind of kill per kilowatt hour rates. Sometimes there's time of use differences, especially in state like California. But to get to this point about, and then industrial users often pay

as well, those would be the data centers. What they mean when the data centers say they're going to pay for their own electricity, it's not just like the literal electricity, the electrons they use, but when you bring on a gigawatt-sized data center, and that's like putting a whole city you know, on, a gigawatt can power 800,000 homes. That's like putting a whole city on the grid. So this requires a little bit of a lot of upgrades to the whole system, a lot of new equipment you have to buy. And those typically system costs are spread out to everyone on the system. And this is how electricity, utility

regulation and pricing has worked for like over about 100 years. This guy Samuel Insull, who worked for Thomas Edison in Chicago in I think the 20s, basically came up with a version of this idea. And so in theory, having new sources of demand over time, lower prices for everyone because you have a big electricity buyer that can deal with those kind of distributed system costs. But in the short run, you know, they're incurring lots of new costs and new infrastructure development to the systems as a whole. And so I think what the Microsoft has made a commitment to this, an Anthropic yesterday did, you know, you can't, you know, do a utility rate case and a press release. But what they are committing to, I think, is that in their

electricity rate that they pay, they want to get all of those extra system costs that they're incurring to just be onto them. What about the other stories and pushback to Data Center Buildout? How did you process the whole water risk hype cycle? It feels like there was a lot of fear, and then there were some more statements from Google, some studies. How has your community and you personally, like, processed that narrative. Yeah, so, like, this water issue is, I think, kind of a surprise for a journalist covering this space. It is definitely something that people, especially people online, are, like, really interested

in, you know, it's actually pretty easy to track how data centers can affect electricity prices, how data centers can affect water usage in any kind of systemic sense. It doesn't really show up that much. The water usage isn't that great. But it is definitely something... But the numbers sound great. The numbers sound great. Yeah.

We're using a hundred million gallons. Yeah, that sounds like a lot. Yeah, but you know the typical golf course. Yeah, well, golf courses are extreme. But, you know, household usage of water is huge, you know. And if people, individual households use the water over a year sounds really, really big. Yeah. I think there's some issues around construction and water usage, but those are obviously more temporary.

Sure. Yeah, but it's definitely something that people are concerned about. And so I think these hyperscalators are really going out of their way to kind of talk about being water positive. They're really kind of leaning in on the water aspect. But I think the electricity aspect is much more where the rubber meets the road. And they have to make some commit, you know, one gigawatt data center, people think it costs about $50 billion-ish dollars. Obviously, the vast majority of that is the chips. But, you know, 10 to 15 percent of the lifetime cost of that is electricity. And you're paying all these extra grid costs. That means with like one of

these really, really big data centers that all these companies are rolling out now. And they're volunteering to incur what could be hundreds of millions, if not billions, of quote-unquote, extra costs. But that just might be the price they have to pay to get approval from the state governments to build these facilities. Who have been some of the craziest beneficiaries of the general energy, the boom in sort of energy demand due to AI? Anybody that was just kind of like sitting around a few years ago and then, you know, just kind of like tripped into making like $100 million or a billion dollars due to having... Yeah, I mean, there's two great examples of this that are kind of on the opposite ends

of kind of technological sophistication. One is Caterpillar, which we obviously associate with mining and construction. You know, anyone I think with boys at home probably has some Caterpillar toys. They can probably identify all the equipment they use. but they also have a business called solar, which builds these kind of small turbines, small gas turbines. You know, the big gas turbine and a power plant is, you know,

hundreds of, hundreds of megawatts of capacity. These are a few dozen, maybe, at the biggest. And they're kind of used for, like, remote power start, often in the oil and gas industry or, like, you know, compress on a pipeline or something. This business has gone huge. And they're now a huge supplier to data centers because they're so desperate for power.

I mean, Elon Musk, AI is a big innovator here of realizing that great connection studies can last for years. But if you just kind of pile up these small inefficient turbines, you can get the power going really, really quickly. Caterpillar's a big supplier to META in Ohio, the Socrates Project, I think, is a few hundred megawatts. And Williams was actually a pipeline company, is kind of assembling all these kind of turbines and reciprocating engines, essentially like giant car engines.

to power these data centers. And so that business has been doing incredibly well. Car engines do you run on gasoline? Diesel? Natural gas. Natural gas. Yes. What kind of environmental studies have been done if a data center sets up in your backyard

and they've got a bunch of these gas turbines and they're running, is that like, you know, if you can, you move away or does it dissipate quickly? Has there been any kind of significant stuff? I mean, these turbines are less efficient and dirtier than, you know, a very large-scale turbine system you would buy from a GE-Vernova or a Siemens. I know with XAI, they were kind of really munking around with these rules about how you could only have it up for 364 days. By the time, the EPA certified it, they were already moving to Mississippi. I mean, these systems are not really designed to kind of be to function as power plants in the same way that, like, a power plan is, but people are so desperate for power that they are going to be using them.

I mean, it feels like there's going to be a variety of backlash, a variety of pendulum swinging. The hyperscalers were very focused on net zero, clean energy. Now it feels like they're trying to go as fast as possible, so there's a lot of natural gas, but then they're also still firing up nuclear projects, more wind, more solar. How do you see the mix, like shifting over the next couple of years. Do you think there's any sort of white bill here? The biggest hypers, your Google's and your Microsoft especially, and Meta and Amazon do have these sustainability commitments, these 100% renewable power commitments. They still are procuring lots of clean energy. Google bought a clean energy developer pattern for $4.5 billion at the end of

last year. And what they do is that, you know, in some cases they get the natural gas turbines And they also buy, say, solar projects in a similar area. That's what meta is doing right now in Ohio. But, yeah, I mean, they do these reports and, say, Microsoft's emissions have gone up a lot because there's consuming a lot more power. And they've gotten way more adventurous and the stuff they're willing to invest in because the scale of their power needs have really changed. So I think all four of the biggest hyperscalers have nuclear projects going on. Google's a big investor in enhanced geothermal. We just talked to Jeff Lawson yesterday. He raised, what, $450 million to do, not nuclear fission, traditional nuclear, but fusion, which is...

Yeah, he's doing the lasers. Yeah, lasers, which is, you know, he said there's no science risk, and I hope that there's not, but it feels like, you know, it hasn't really produced energy on the grid just yet, so it is, you know, very forward-looking, but Google Ventures is one of the investors, because they're, and they also have a deal with Commonwealth fusion systems and a bunch of nuclear projects as well. Yeah, that's fascinating. What can you tell me about the nature of the pushback politically against data centers? I was looking at this data center watch stat, 55% Republican, 45% Democrats in affected districts. So it feels like I don't want a data center in my backyard is not a left or right wing issue. No, no, it's a fusion. It's one of these kind of fusion issues. We've done a lot of great reporting at this. We have a pro service called HeatMap Pro that really focuses on this stuff.

Okay. And what we found is that, yeah, it's like it's, it's anyone who's kind of distrustful of institutions in general will tend to really not like a data center in their community. Also people who, it also brings together Democrats or Republicans because people who oppose renewable energy projects, which at HeatMap is what we were kind of born to start tracking. Sure. Was local opposition to renewables. Interesting. The same people are opposing the data centers, and they're using the same techniques. They're opposing, say, rezoning agricultural land into industrial land.

Something really common with solar panels, same things going on with data centers. Same type of people are opposing it. And it's interesting because at the highest levels of politics, you know, the administration right now is very pro, the data center AI buildout. You know, they have, you know, they have Sam Alman at the White House announcing, you know, multi-billion dollar investments in this stuff. And yet a lot of data centers are built in Republican areas. That's typically where there's enough space. They tend to kind of be in exurban areas.

And yeah, they get a lot of local opposition. It's been a lot of local opposition, Indiana, and a lot of local opposition in Kentucky. Virginia, this is really kind of transforming the politics around there as well. So Open AI has a pack now. Anthropic has a pack now. I think for the drama heads in the chat, We hope that they're just going to fight with each other endlessly and make content for us.

But assuming that they want to bring about support, broad support for their data center buildout efforts, what would you recommend? What's the playbook for an AI lab that wants to build a gigawatt data center somewhere in America? Where are they going? What promises are they making? What promises can they keep? What would you recommend? Yeah, I mean, we see this in the kind of renewable and nuclear space a lot.

is essentially you do a lot of kind of expensive, extensive, long-lasting local engagement with the community. And like, look, if you're a data center developer, you're going to end up, you know, building a lot of high school gyms. You're going to really have to get the local people there on board with their project. Because typically at the state level, you actually, governors like data centers, you know, they provide tax revenue. Unions like data centers, the IBEW, the International Brotherhood of Electrolet of

electrical workers, very pro-Data Center, and they're a pro-Data Center force in a Democratic Party. But oftentimes these decisions are made at these kind of community board meetings, zoning meetings. And for them, you really have to convince that you're providing something on the ground because what Jordy was saying at the very, very beginning, there's no benefit in terms of what the data center produces to having it near you. Yeah, there's no local AI movement. I want my... I want low latency inference.

I want it in my backyard. I'm a YIMBY. Give me a massive data. The data center. I was hearing bad stuff about living next to a golf course. T up one gigawatt data center right there. I'm good to go. I like the idea of grown inference.

I like the idea of showing up to the local T-ball league and being like, why is the team called the core weavers or something like that? So nuclear power plants famously do this. Yeah? No way. I mean, the Simpsons parodied it for, you know, you have the isotopes or whatever. Yeah, the isotopes. And you do see this in communities of nuclear power plants.

But the thing about data centers, they don't provide very many jobs. after they're constructed. Yeah. So that part is very difficult to get over. I have the solution. Sorry to interrupt. The solution is you get, they have the data center, and then there's just a big room with a bunch of peloton's, and you can just go in there and just generate energy for the data center,

and you get paid that way. So we get a gym, jobs, and a data center in one space. Be good. I mean, I think Brian Johnson, for one, might support that, although, you know, as we know with the 49ers, they don't like being by an electrical substation when they practice because they're worried about the injuries from the EMF. So that might be a tough cell. Demy, New York for me.

What's it like living there? Oh, I love it. I've been here for over a decade. You know, it's back. It's too cold right now. There's too much snow, which is quite weird. I cover climate change. Where is this so-called global warming right now?

who knows. But no, it's great. People are on the subway again. Really nothing to complain about. You know, apparently bonuses on Wall Street were great in last year. Our projected budget deficit almost got cut in half magically in a few weeks. So what could you complain about? There you go.

What was your review of Davos from an energy perspective? From a tech perspective, it felt like, oh, like Davos is like a real place that needs to be taken seriously. like every company should be figuring out their Davos strategy for next year, whereas like previous years were sort of quiet. Yeah, I mean, Davos used to be the place where they would, you would hear the most bogus sustainability commitments, you know. And for better or worse, they kind of stopped doing that. I think as it's gotten more serious, they've stopped, you know, you're not hearing that you're going to own nothing and be happy anymore. So it just seems more serious. And, you know, as obviously, as a newsroom and a reporter that's focused on climate change,

like I have a point of view on this, but also like I just like seeing people deal in reality. Sure. And I think Davos is more of a reality-based place now, which I, as a reporter, it sounds as great. That's good. Yeah. Jordan, you have something? How, you said something which is funny because you cover, you cover climate change, like, professionally, but you said there's snow.

out, which is like we're supposed to have climate change. Doesn't feel like we have climate change. But like how is kind of the broader clean energy industry even processing? Like how are they processing that? Because that is kind of like more like the average viewpoint of Americans. Like it's cold this winter. No climate change here. And that's obviously like, you know, you can have, you know, different spikes and your kind of like lived experience is not are entirely representative of kind of. But it might inform who you vote for or what you vote for. Yeah.

I mean, one of the great ironies of climate policy in the United States is that some of the strictest decarbonization standards and rules and restrictions are in the Northeast. Maine, Massachusetts, New Hampshire, Vermont. They're really into decarbonization. They're really into preventing climate change. Yeah. And then in Florida, they don't really seem to care that much at all. And obviously, that's the place that's most at risk in the United States from high temperatures and rising sea levels. So yeah, I mean, just an issue where, I mean, this is something that people in the industry complain about a lot.

Well, now they're complaining about it. This stuff is super politicized. And, you know, I think a lot of people in the industry are when a Republican as president really wanted to say like, oh, this is not about politics. It's not about climate change. This is about clean, fast, cheap energy. You know, solar is the thing we can get on the grid, the quickest. Solar and storage, what we can get on the grid the quickest. But yeah, I mean, it's funny.

the biggest, the most successful green tech entrepreneur and the biggest solar maxi in human history is Elon Musk. He's also the second or third biggest Republican donor of all time. The Republican party has tried to dismantle a lot of tax benefits and programs that benefit Tesla. And he doesn't seem to care that much. So yeah, I mean, people's politics are really kind of often override everything else. And that's not, obviously, that's not something unique to climate change, but it's a huge challenge for these businesses. Yeah. What are you tracking on the solar panel manufacturing supply chain? We talked to the CEO of T1 Energy. Seems like there's some green shoots, but even his optimistic case was, oh, maybe we get to like 1% production relative to China. I mean, yeah, China has solar and batteries. The amount of kind of time, energy, and money that has been devoted to that has been immense. And every time, it's a big.

balloon squeezing effort too. I'm sure T1 and first solar is the other big American solar manufacturer can talk about this. We try to you know put tariffs on Chinese made solar these factories start popping up everywhere. They pop up Malaysia, Cambodia, Thailand, Indonesia and then we start putting tariffs on those factories because they're owned by China. But it's tough. I mean they're the cheapest they're the cheapest panels they get done the fastest and yeah these domestic solar manufacturers are really similar to the car companies ex-Tesla. They're very dependent on government policy. You know, the developers, if they could, would just buy Chinese

solar panels. Yeah. But, you know, there's a lot of political reasons why they're being encouraged and now, because of these tariffs, yeah, to buy American ones. Yeah, we were a friend Casey Hamer who says like, hey, look, if they're going to be subsidized and then we need to buy, buy, buy, buy, buy every solar panel we can. And we're like, that's, uh, that's one choice. I know. I, I, uh, I talk to Casey for stories to. Oh, yeah, he is a mind expanding person to talk to. I I mean, yeah, but it's true because it's just tough. You know, if you're trying to get everything onto solar and batteries, you don't want to then disemploy an American supply chain, especially because with energy right now, American energy is largely domestically produced, which is a huge change from, you know, 10 to, from, you know, 15 or so years ago. And so if you're trying to have a climate policy that encourages solar, you don't want to then also disemployed, you know, lots of.

of people. Zoom out a little bit for me and tell me your prediction or feeling around like long-term energy production capacity in America. It's been flat growing very low rates, nowhere near the rollout of phones or electric cars or compute. Like everything else is growing exponentially. It feels like you're going to watch a, you know, a sharply exponential line crash into a linear line. What is your feeling around this idea that we might actually start seeing 10% growth rates

in energy production nationally? I mean, just look at how hard it is to build a data center, which is just a warehouse with computers in it. And then think about building power plants on that same scale. I mean, people have a lot of trouble building solar power, which is zero emissions and it's fine. It just looks weird. Imagine trying to do that with gas with gas power plants. So I would say we're going to go. But what if I have a billion AI lawyers in my top? Just suing everyone left.

I show up into town. I sue everyone. Make friends. Well, I mean, this is a serious concern. You know, litigation risk is a huge issue with energy projects. And one can only imagine what Harvey could do with filing, with, you know, gumming up the NEPA process for infrastructure. Yeah.

Well, thank you. Yeah. So I think it's more like we're kind of growing at half a percent a year. Yeah. Maybe two, maybe 5% some years. Okay. And then would be tough. Okay.

Well, that's the next bottleneck after the chip bottle. Well, I have something. So your friend, John Palmer, is also our friend. We read his fantastic piece. To me, it was more impactful than something big is coming. Something little is coming. It hit me like a ton of bricks. It really hit us hard.

But he just announced that Stripe is acquiring his company. Oh, no way. Hardy Dowza. I wanted to ask, can we hit the gong with you for our, friend John. Oh, this is an honor. Oh. Congratulations.

Congratulations, John. This means you have to start buying in bigger, more frequently. Yeah. You have to call my worst bets. No more excuses. All in. Poker game? All in.

Texas hold them? No limit Texas hold them. No limit Texas. We're actually thinking that maybe the guys we could get together and start a podcast. There we go. I think we would call it all in. Yeah. I think it's probably a good thing to call.

Yeah, kind of like a poker themed, a little, talk about a little business, a little politics, little tech, energy, geopolitics. I think you guys would have something there. Yeah, I would wear expensive sweaters, and yeah, it would be great. I would be the first one to subscribe. Well, it's so great to finally have you on. Come back on when you're going to publish your next story. Yeah, we'll talk to you soon. Thanks so much.

Have a good one. Cheers. Goodbye. Let me tell you about Plaid. Plad powers the apps you use to spend, save, bar. and invest securely connecting bank accounts to move money, fight fraud, and improve lending. Witt now with AI. Is there any other breaking news, Jordy?

Anything we need to talk about before we enter? I'm super excited for John Palmer and the Party Dow team. It's funny, John and I didn't meet until last year, but we used to kind of have this tension because I had a company called Party Round. He had Party Dow. We were both in that 2021 era. I was doing sort of a team of rival situation.

Crypto kind of stunts with party round. He was getting quite a lot of attention. We both raised from Andresen. Oh, okay. But now we're, now we're buddies. And very happy for the whole team. Turned business partners. And very bullish for Stripe Crypto.

For sure. And that's why he's probably in Cloud 9 writing long form jokes, which is great. Like, oh, yeah. Shocking the Internet. Shocking the Internet. Well. Well, you know what time it is. it's time for the lightning round, the Lambda Lightning Round.

That's right. Bring down the second Gong Mallet. Fire up the Lambda Lightning Round. Let's bring in. I'm going to tell you about Vanta. Automate Compliance and Security. Vanta is the leading AI Trust Management platform. And we will bring in June Park, the co-founder and CEO of Simile.

Welcome to the show. June, how are you doing? What up? Hi, everyone. Great to be here. Welcome to the show. Dude, you know you mean serious business. Look at this behind you.

I love the whiteboard. We are big band. Please, first time in the show, introduce yourself, introduce the company. Yeah. So, really excited to be here. I'm June. I'm the CEO of Simile.

Simile is a company that is building foundation model of human behavior. They can simulate our society from ground up at the level of individuals and populations and predict its outcomes. We use the technology

to create products that enable people to talk to millions of similes, we call agents. That represent real people. Yeah. I'm super excited about this. Yeah. When we were working to get you on the show, I was thinking about it. There's been so many times in my career where I was doing something like launching a product or launching a campaign or talking with a founder that was doing one of those things.

And like oftentimes you have a really strong sense of how something will do after you've built up some intuition. But I've always thought it was crazy that for some, you know, think of like a physical product company. You have to spend a year and all this time and money and then just launch it and be like, well, I hope people like it. And it feels like with enough data and maybe a model like you're building it simile, you could get to the point where like you can get a much more accurate read on how society or a niche will respond to something without having to actually make the thing. Yeah. What was the first thing you built for the company? So for the company, we work with vendors that actually connect us with real human subjects. So we actually partner with people and get their data.

And what we found was if we have rich data about individuals in our community, we can actually create really a high fidelity simulation of these people. This was on the basis of the research that we've done at Stanford, where we led agents and simulations-based research. And what we're now finding is that this technology can actually create insights for our decision makers. So our core product basically is one that allows our Fortune 500 customers to actually interact with and talk to these agents that represent these real people that we collected and basically provide insights. So that's the platform that we're creating.

What's your thought on game engines as a piece of simulation? I've seen some economic research that maybe used Unreal Engine, but is there a role for simulated worlds or deterministic worlds that are then puppeteered by agents? in any of this? Is that just like a different fork of research entirely? No, I think it's all connected. In fact, we actually started our research when we published the Genderative Agents paper, which introduced the idea of creating simulations and agents.

We actually demo this in a game talent. One, because we thought it was so visceral and so fun, but also at the same time, if you want to create a simulation of our entire world and how our society might get shaped in the coming decades, then you really ought to be modeling not just people, but also the environment and the model as a whole. So there's absolutely a place for these kind of game simulation

like characteristics to this field. Basically the idea here is down the line, can we actually create simulations of the entire market, entire nation. That's where we're headed. So, yeah, what are some of the case studies that you've seen with large companies? Is it something as granular?

Should they charge $2 or $250 for a particular product? Or is it more broad? Like if we do a Super Bowl app, Will it convert? Or, you know, we're just predicting the future. Super Bowl ads are such a good example where you're spending maybe a million, 8 million on the buy, you know, half a million on creative, all this stuff. Social.

And then it'll either get people to hate you or love you. But we should be able to predict these things better. And obviously, historically, there's focus groups. You could try to get a reaction, but we're still at this point where sometimes you just need to do something. thing to see. Indeed. In fact, as somebody who's running this company, I actually simulated how today's conversation might go.

Really? Because of you are so well-known online that we could actually get in a bit to actually see how conversations like this one actually might pan out. So I could be better prepared to talk about some of the topics that we wanted to cover. So core use cases today actually does cover things like, so we work with Fortune 500 companies that have earnings call. many of them have come to us and said, can you actually create simulations of, let's say, earnings call that's going to happen?

And there, basically the idea here is can we simulate each analyst who might actually ask questions during these earnings calls, all the way to how CEO and CFO might be able to respond to these questions. That's a common ask. So these are the kind of simulations that we create for that particular use case. And what we find is we can actually predict eight out of ten questions on average for these earnings score, like the actual questions. that will be asked.

And we can actually simulate how the conversation might flow from that point on. So you can test out different strategies. But beyond that, one of our sort of customers right now is CVS. CVS, of course, a large retailer. And there, CVS has been

working with a simil to create simulations of hundreds of thousands of their customers. What they want to know is, let's say, CVS has new product. They have new store layout. They have new concepts they want to test. These are the kind of things that CVS today might go to a large

human panels, but instead they can now work with Simile to get insights that's much more granular and that's much faster to gain. Now, another example here, Gallup, is sort of a long-send polling company, has been working with Simile to create digital panels of their human panel members. So if they want to ask questions to that panel, but for whatever reason, they are not reachable, then you can actually come to Simile to create simulations of that panel. What's the moat?

How do you think about, like, in the earnings call example, A lot of earnings health transcripts are already in pre-training corpuses, and you could dump them in and sort of do a quick fine-tune or even just throw it in the context window. And if you're a public company CEO, you could probably just ask any of the frontier models. What do you think the analysts are going to ask? And is it that that strategy only yields two accurate questions and you're at a higher benchmark rate? Or do you think that there's a different piece of your business that the big labs won't go after? So fundamentally, the model that we're trying to create is different than what Big Labs might be interested in today.

That we are less interested in creating intelligence that's superhuman, that's super rational. But instead, what we're interested in creating are models that actually model people's irrational half of their brain. These are people's values, preferences, taste. And the way we go about doing this is a true combination of modeling and product frontier. So, similarly, it's unique in that we as a team actually is composed of both of those talents. So myself and my co-founder's Michael Bernstein and President Liang are all researchers who have been making contributions at the frontier of AI ranging from generative agents to generative AI and foundation models.

And there, the core mode here is, what are the best kind of data that we can collect? And then using the data to create the most high fidelity agents that represent the people we have interviewed, collected data from. And then we overlay that on top of amazing product. So here, one of the amazing part about the models that actually map people's values and preferences is the better model immediately means better insights for customers like CVS and Gallup, so that there's an amazing alignment between the modeling frontier and product frontier, which is not something that we see every day. So it's a true combination of those two things coming together that makes similarly special. Yeah. What, uh,

What do you see progress scale with more? Are you compute constrained, or is it much more about data constraints? So we are trotting the frontier on both front. So down the line, so today we model hundreds of thousands of people who signed up to participate in these studies. And then our customers, of course, they have appetite to down the line simulate millions. Our goal, eventually, is to ask ourselves, what would it mean if we can create, of 8 billion people, the entire Earth. That's the future that we're headed.

So there, certainly there's a question around what is the data, but also how do we compute these kind of simulations efficiently? Yeah. Are you worried about getting too accurate that life just becomes boring? This free will is free will real? Do we have free will? Are we living in a simulation? It's like you've read, you went to the end of the book and you read the last page and you're

just like, ah, like. Yeah, there's something fun about actually this discussion. So I don't know if you all have watched The Matrix or I don't know how many of the audience actually have watched The Matrix. I love The Matrix. Amazing. I have seen that one. You have seen that one. Jordy hasn't seen a lot of movies, but he's seen The Matrix.

There's actually a quote that I actually like quite a bit that I think it's actually quite profound. It's something that the Oracle says, which basically is you're not necessarily here to make a decision. You've already made that decision. you're here to understand the decision and why you made that. And that sort of captures essence of simulation, right? The models that we're creating isn't merely trying to predict the future, although we are good at that and that is one of the core capability. But what to me is more important is understanding why we made a decision that we created

and end up creating these kind of bottom-up simulation, where we can actually go back and actually trace through the audit logs of how society might unfold is actually an understanding. amazing way to gain that interpretability layer of our reality. So that is to me the best way to shape the future. If you want to shape new policies, new product that would actually serve the people that is in our society. The best way is actually to understand those people and then actually communicating with them at a scalable way to basically create those policies. So that's how we view things. How would you do you raise? Before that, the chat wants to know, do you think

Do you think if you worked with clavicular, the live streamer, you would be able to predict whether or not he would get frame-mogged if he went to different locations or maybe universities? Like maybe you could have said, don't go to ASU. Just don't. Just don't. How much did you raise? So we raised $100 million from index and other participants. We're also really excited to invite Andrews, such as Andrew Carthy, Pfei, the very exciting. they're very excited. Okay, that's great.

Big dogs. But ultimately what we're excited about is that there is a vision that I think is extremely compelling, that this is a vision that this particular team having worked in towards for the past five years

that we can create with the technology that we have today really high fidelity simulation that can actually provide insights to create better society. Well, thank you so much for taking the time to come chat with us. Congratulations on the massive round

and all the progress. Great to meet you. You keep doing good stuff. Keep tearing through the Fortune 500. Don't be afraid to send us some alpha if you're predicting anything about us. Let us know. And I like this. I think you're starting a new meta.

Somebody in the chat said it's kind of the Jensen, Steve Jobs combo effect with the outfit. I like it. Looks good. It's great. Well, have a great rest of your day. We'll talk to you soon. Goodbye. Cheers.

Let me tell you about Gemini 3 Pro. It's Google's most intelligent model yet. state-of-the-art reasoning, next-level vibe-coding, and deep multimodal understanding. Up next, we have David Risher. He's the CEO of Lyft, and we're going to ask him about the Ferrari Lucie. Ferrari Lucch, yes or no? Is it the ideal Lyft mobile? Yes? Yes. You like the Johnny Drive, the Johnny I've inspired interior. You're down? I am down. I mean, I like innovation. I like cool new stuff, so why not? Give it a try. I've not been in one, though, to be clear. Yeah, I don't think anyone has. I mean, They did a PR, you know, a day.

They didn't show the exterior of the car, but they did let some journalists come and twist the knobs and hear the click clocks and stuff. I'm with you. I like that there's some fresh ideas in there. And I hope the other manufacturers adapt as well. What's the freshest idea you have for 2026 for Lyft? What's happening? What's happening in your world?

Oh, dude, a lot. Well, so we just announced earnings, which is always kind of an interesting time. So record bookings, which is great and accelerating. Record profits, which is nice as a business. Over a billion dollars in cash generated, which again is nice as a business. And the only reason I start there is because to me it says, like, this is customer obsession driving profitable growth, right? Like I took this job maybe almost three years ago now. Actually, fun fact, I was sort of convinced to do it on Valentine's Day three years ago.

So it's coming up right on that magic moment. And my wife and I had such a romantic evening talking about Lyft that night. But anyway, so the point is like, it's amazing. It was a thing of beauty. But anyway, so yeah, and so here we are super well positioned for 2026. Why? Because international expansion, that's a fresh thing. That's a big deal for us.

Autonomous vehicles, self-driving vehicles, that's a super, super big deal for us. So we've got a couple of big, what we call growth vectors in the business. Yeah, what's the biggest, what's the market? it internationally that's still ripe for ride sharing to come. Yeah, so it's really interesting. You know, Europe is an established ride share market, of course, but there's still a huge, huge taxi market in Europe. And it's really interesting.

Like if you look at the total mobility, like outside of people driving their own cars in Europe, still a ton of people every day pick up the phone and super old school, call the phone number and get a taxi to their house and stuff like that. So that's actually a big transition thing that's happening that we're really kind of helping powers, that's kind of moving from offline to online. And then just like all over the world, I mean, self-driving cars are going to be a big deal for all of us. And I look, you know, three, five, ten years.

You know, it'll be five percent and then ten percent and then twenty percent and then fifty percent. And then that's going to be huge. Oh, and bikes are always big in Europe too, even bigger than the U.S. How are your conversations like with other public company CEOs right now? We're in this period of insane volatility. And it seems like no matter what, management team says on an earnings call, you're going to have, you know, some massive volatility. But yeah, what are those conversations like?

I'm curious. Do you guys have a little group chat where you're like, I'm going in. I'm going in. I'm going in. Wish me luck. What's going to happen? You know what? We don't actually have those conversations that much just because they're kind of boring.

You know what I mean? It's sort of like everyone has the same level of frustration, of course, where it's sort of like, oh my God, you know, everything seems so volatile. And it's so weird. I was actually just thinking about this yesterday. I mean, what happens right now, I don't know if you guys know this, but what happens is you come out with earnings. And then, like, for example, again, we had so record,

you know, bookings, record, rise, record profits, you know, good, good, good, good, good. Okay. So for like the first 30 seconds, headlines say, you know, whatever, lift beats on profits or, you know, highest rides ever, something like this. And then there's some market reaction. Now the market reaction might have something to do with some totally different different thing, you know, some weird, or cruel thing that some bot, remember, it happens after hours. So some bot picks up some weird, cruel thing that doesn't fit in the model, and then all

the sudden, you know, starts selling shares. And then, you know, the sentiment turns. And this is all after our stuff, super thinly traded. Okay. So then the headlines get rewritten in real time by other bots who are not reacting to the news of the earnings. They're reacting to the reaction of the news. And that just to sort of- And then they're creating, so they see the stock price move. And then they're creating a written narrative of why it's happening that then gets turned into an article that then other people are reading. 100%. And remember, a lot of people don't read much beyond the first paragraph. And so they'll just see this headline, which used to say, you know, lift beats on profit or list beats, whatever.

And now, you know, lift shares down, you know, 10% or whatever it is. And so it's such an interesting thing. Anyway, it's a little bit of a meta point. But like right now as a society, it's like we're almost reacting to the reaction more than to the thing itself, which is a little bit mind-bending. Yeah, that's Yeah, that's super fascinating. We're reacting, we're letting the bots react

and then deciding how we feel based on that. That's exactly right. And the funny thing is, the bots are reacting for their own algorithmic reasons that might not particularly be well plugged into any reality. Anyway, you can go on in this for hours,

but it's a little, like at the sort of super, like, species level, we're kind of like letting the machines take over a little bit. We're not forming our own opinions. We're letting them tell us what our opinions should be, and then reinforcing that, which is a little bit, a little counterturb. But anyway, like, of course, some version of this has gone on for a long time.

It's just sort of exaggerated now. I remember this is something I work for, as you guys know, Jeff Bezos for a long time. And, you know, Amazon, for example, back in the 2000s was, you know, $6 stock or something like this. And people would ask them, like, how do you stay, you know, sort of focused? And he's like, the good news is, like, I know the data. And this is how I feel, too. Like, I was in a meeting yesterday about our self-driving car initiative. It's amazing.

And I was in another meeting yesterday about our Super Bowl performance. It was amazing. We were up 13% year-on-year. We picked people up faster, and we were down 20% in surge pricing. In other words, our prices were 20% better than they would have been if we'd had our search pricing algorithm from last year, which is great because it means that we're able to do this at a lower cost to customers. So, like, I see the data, and I see how well-position we are right now.

So my last thought on this is this is now my new favorite CEO tool. Back to your point, you know what these are? Noise cancelling headphones. Yeah. I was canceling it. Can you unpack a little bit more of the Waymo partnership, talk about how that's progressing, and just broad rollout your plans,

how fast do you see that becoming meaningful and growing? For sure. So I'm going to zoom out one click, and just to sort of remind everyone. So I'm super bullish on AV's autonomous vehicles entering the ride share space. And the reason I'm so bullish is because they're market expanding, and we see this in market after market,

when AVs come in, people take more rides overall. Because it's cool. It's a cool new product. It's kind of fun. It's sort of futuristic. It's reliable. So it expands beyond the current population of people who take rideshare today. And then the cost over time will become lower.

You know, for example, insurance costs are lower. That'll be pretty obvious. So it's nice when the market. market expands and when your cost of doing business goes lower. Okay, so then you ask about Waymo. Waymo, of course, is the leader here in the United States, no question. And we have a very specific partnership with them announced in Nashville. That was literally one of the meetings I was in yesterday. We were talking about all of these different ways where we're integrating across the two platforms, everything from fleet management to demand generation. And, you know, if we get a ride, or are we going to, you know,

ask Waymo to take it, or is a human driver going to give it, like all these different, you know, sort of details that you have to work out when you're doing a deep partnership, which we expect to go live later this year. The expectation of that partnership certainly that we have, and I believe that Waymo has as well, is that this will scale beyond just Nashville, but Nashville is very much our focus right now. I'll tell you one last thing. Takedra, who's the CEO, of Waymo was just on a show yesterday, and she was asked about this partnership, too, and it was nice to see her also being very enthusiastic about it and saying, you know, the thing that I think should be obvious to many people, which is even if Waymo wants to go it alone in some markets like they're doing here in San Francisco,

it's really helpful for them to have a demand gen fleet management partner like us in a place like Nashville and hopefully elsewhere as well, because it allows them to really focus on what they want to do well, which is create the world's safest driver, that's the way they call it, and not have to worry about all the other details of a ride-chart network. So anyway, stay tuned. We've actually broken ground on the big depot. I mean, we're doing all this sort of work.

And in the next couple of months, we'll start to roll rides out in, in Nashville. What is, talk about, I'm super curious to actually understand like what does the depot look like.

What is, what is the process, what are all the things that goes into it? What are, what are the jobs, that kind of thing? Yeah.

So the first thing is, it's big. It's big. You know, it takes some space. Because you have to think, I mean, you're talking about hundreds,

is something that has to be able to clean, maintain, charge, you know, tune up, all these different things. things, repair in some cases, you know, couples, hundreds of cars, hundreds of hundreds of cars.

And, you know, like at 2 o'clock in the morning, you know, these cars are not necessarily going to be out on the road. So you've got to have a place for, you know, hundreds of cars to sort of go through this cycle when the, when the demand is low. There'll be real jobs there. And actually we're hoping. And we have something called Flex Drive there, which is our own fleet management subsidiary. And that kind of is the basis of this thing that we're kind of building it around, let's say. And so some of the folks working at Flex Drive, you know, we'll transition into doing this A-B stuff. We'll also, frankly, end up hiring some drivers in the community who kind of want extra money

and know a lot about cars and so forth. But, yeah, I mean, think of it as sort of a big, very kind of modern, you know, kind of, let's say, there are also some pit stops around the town that just do charging. But think of it as sort of charging and maintenance, but done for kind of, you know, 2026 and beyond instead of. Yeah, so, yeah, that was going to be my next question is, is do you have, for a city like Nashville, you have one major depot. You have some charging stations.

Would you ever break out the depots, basically having, like, multiple spaces for storage, whereas, like, one for a Nashville-sized city is, like, one facility going to be enough to kind of, like, I know what you mean. I think, you know, one big central and then a couple of satellites is probably right. It's sort of tricky to cite these things, because if you put them too far outside of town, the good news is it's cheap, but the bad news is they've got what we call deadhead miles, so just miles going back and forth with probably no rider in them. So you have to find a place that's kind of the right,

you know, ours is kind of near the airport, all this sort of stuff. And then you want a couple. And then it's got to have a lot of power too, like literally electricity. Like we work with the utility to figure out what's the place that can support, a fairly big power load. And then, so anyway, that becomes your central thing, and then you have a couple of satellites around them. How do you think about the scaling and rollout of self-driving vehicles

just broadly in America? I think a lot of people lean back on what the AI systems can do, incidents per mile, and there's a lot of smooth curves there. But in a lot of AI world, we're running into the real world. Is there enough energy for this data center? Are there enough chips for this new model or this new training run? At a certain point, how are you feeling about the ability of the OEM market, the car production supply chain? even things like regulation,

like how do you see all of that playing together? What's the most important thing to focus on? I mean, you're literally laying it out. Like, think of this whole thing. You've got, first of all, you've got to have great tech that works at scale. Without a driver in it, they can go for a long time with no instance.

So that's a very, very important thing. Then you have to have an OEM, right? And that OEM has to be willing to make an investment, right? Because it's not just like, cool, let's just take the same lines and just, you know, throw us some aviation. stuff on at the end. It's like you want to design production lines that build that AV. And think about what, you know, you can see this with Waymo, right? Like Waymo literally

is receiving, and I'm talking about the Jaguar platform that they used mostly so far. You know, they're literally like receiving these kind of half-built cars and then kind of disassembling them and reassembling them. It's very complex. So you want to be able to build that in a very cost-efficient way. So OEMs have to have to be willing to make a big investment there. Then you've got to have the regulations line up. And that's a city-by-city state-by-state thing, right? So we just signed an agreement. This is outside of us. We just signed agreement with Hamburg, Germany, that'll be the first city in Germany and one of the first in Europe to say, yeah, we welcome A-Bs onto our roads. Here's the kind of framework we have to use.

Anyway, so that's got a lot of them. Then someone's got to buy these things and finance these things. It's got to be financing. By the way, these things might last three or 400,000 miles, but unlike the normal used car, they'll have zero value at the end. Right, zero value. No one's going to buy a used AV that's been on the road for 400,000 miles and uses old tech. So, okay, that's a whole financing model that people have to figure out. Then there's got to be, all the stuff that we were just talking about, all the fleet management stuff. And that's physical world stuff, right? That's like who's going to charge these things?

Who's going to reboot them when they need rebooting? Who's going to clean them when someone, you know, throws up in the car, all these things? And then who's going to maintain them. And then you have to have all the demand, you know, management and so forth that we're pretty good at. So I think your analogy is a good one, which is that, and it's why you see so many tiny pilots, which are all kind of hand-built and artisanly done. But when you think about scale, it really is going to be years, and years and years until all of these things line up in market after market after market.

Yeah, I don't know if that exactly answers the question. Do you track the AV rollout in China? What's the timeline for manufacturers to just be a B-Y-D that can just plug into a platform, a Chinese equivalent platform like Lyft and just start earning autonomously? I mean, I will say this is an area where it's just flat-out China is. ahead. Flat out China is ahead. It's maybe slightly different with the question you're asking, but when I talk to AV, so if you're in the business of producing AV technology, you know, it could be a mobile eye, it could be a wave, it could be any number of people who are producing this technology,

independent of the OEM. When you talk to them, their biggest frustration, I'm actually going to quote one of them right now, is saying, we talk to, quote, Western manufacturers, and it really doesn't matter whether you're talking about VW or Stalantus or Ford or whatever, just Western manufacturers. And then you talk to Chinese manufacturers. And in China, they're talking one to two years. And then that same conversation with a Western manufacturer is a five-year conversation. You know, it's a 2032 conversation instead of like a 2027, 2028 conversation. So the short answer is, you know, there's good AV tech from a lot of places.

But frankly, the OEMs are in very, very different positions in terms of their ability. to spin up quickly and get a platform out that actually works. Well, congratulations on all the progress. Thank you so much for taking the time to come chat with us. And fantastic shirt, by the way. We love the shirt. Coming in strong. Well, thank you, gentlemen.

It means a lot coming from two fashionable guys. Yeah, in the plain white shirt, I'm really taking a risk today. I mean, you're bold. It's on brand for you. You're bold. Yes. In a world of plain black T-shirts of tax. black. There you go. White collar shirt does kind of stand out. So thank you. I appreciate it. Hey,

congrats to you guys on all your progress and your Super Bowl ad. That was amazing. Thank you. That was a lot of fun. It was a good time. A lot of fun. Slightly smaller ad than yours, but we're working our way up. We're getting there. No, dude, you got to start, you know, step by step by step by step. I will tell you, I did zoom in on all the logos there. I was looking for the lift logo. It must have been hidden. I don't think I saw it. Anyway, it was a small oversight. Somebody's is getting fired. Tyler is looking into it right now. We're going to send you evidence if it's in there. If we, but we might have made a mistake, it's possible. Also, there were a few that were behind certain letters, and so they got to the glanced.

And that was it. I looked very closely. I'm pretty sure I was hidden. It's no problem at all. I'm not holding it against you. We'll figure it out. We're taking it personally. Good thing the Super Bowl happens every year.

There we go. 61 is just around the corner. There you go. Great to see you, David. Have a great rest of you guys. We'll talk to you soon. Cheers. Thank you.

Let me tell you about cognition. They're the makers of Devin, the AI Software Engineer. Crush your backlog with your personal AI engineering team. And without further, ado, Todd McKinnon from Octa is in the Restream Waiting Room. Welcome to the TV Good Elton. Todd, how are you doing? I'm excellent today. Thank you so much for having me on. Thanks for joining. Thanks for joining. First time on the show. Please kick us off with an introduction.

I'm Todd McKinnon. I'm the founder and CEO of Octa. Yeah. And yeah, I'm excited to be here coming from the office in San Francisco. And I feel like my hair is not nearly good enough to be on the show. It looks fantastic. What are you talking about? I mean, since it's the first time, would you mind going back and telling us the little bit of the history, the story, I love these like founder journeys. So you can give it, you can take as long as you want or as short as you want,

but whatever you haven't gotten sick of talking to people about. Yeah, it's interesting. It's a lot, there's a lot of echoes in what's going on today with AI. But 17 years ago, I started Octa the same year, the same year Steph Curry was drafted.

No way. I don't know if that makes it seem like a long time ago or not that much time ago, but 17 years ago, Octa really is the Steph Curry of the enterprise. It is. I've always said that. Yeah, I've always said that.

Lots of people. Yeah, it needs better supporting cast around him maybe, but I'll take it. But, yeah, I mean, how did you even come up with the idea? I think a lot of people start a company. They think, like, I'm going to build something for myself. I'll go consumer because that's hot and trendy. Like, what was the inciting element, like the problem that you identified? Well, I was running engineering at Salesforce.

And I was working with all these customers that were adopting Salesforce. and then I looked around and I said, hey, AWS is launching, Google Apps for Domains, which was called back at the time, is launching. I said, hey, you know, there's really going to be a cloud version of everything in IT, and it's probably a great time to go out and start something new and build something that would be needed in that world. And we settle on this platform for identity management, which seems maybe pedestrian or incremental.

But at the time, people had these applications like Box and Salesforce and didn't really work well with their Windows login and Windows PC, And that was our wedge to get started to what now is a $3 billion year company, 6,000 people, and a really important part of the world. Was this in the sweet spot of venture capitalists during that time? I mean, Salesforce pedigree. It feels obvious in hindsight. But what was the pitching process like? Well, it was very different world because we were in the, you know, aftermath of the financial crash.

Yeah. And venture capitalists were, you know, where's our capital call is going to be returned? Are we going to have any money? Like, are we going to be, so people were very reticent. We actually were the first company to raise money from Andreessen Horwitz. No way. So, Mark, yeah. You were the very first company?

The very first company. Wow. And on the first investment, it's Octa, that's insane. I mean, congrats to you, but also Andreessen. A lot of people are like, yeah, the first investment I made was not great. Public company. Wow. I mean, I'm sure they had plenty of personal.

The first fund has Slack and. Yeah, it's a great fund. Yeah. Niceras in there. Yeah. And then Skype, wasn't Skype in the first one? Yeah, but Skype's a weird one because it was like a take private and then an IPO or something or sell. Yeah, I remember like talking to my friends that they're like, oh yeah, you raised Andresa and Horowitz.

That sounds great. They did that weird Skype thing where they bought it eBay and took it and worked out okay. Yeah. Yeah. Yeah. But at the time, you know, it was people thought, oh, it's not, maybe it's not big enough. They said, oh, you're providing a single sign on for cloud apps to your, you know, Windows domain, is it big enough?

And it's like for the last 17 years, it's like, you know, is it a big enough market? And every four or five years, more cloud and then mobile and then what happened with the really focus on security and how important identity management and passwords are to security. And now what's happening with AI, COVID remote work, identity just becomes more and more and more important. And now with AI, we're on this precipice of that and a huge catalyst for identity. That's why we're so popped up and excited about what's going on. Yeah.

So let's get right into it. Please. You, Octa Powers identity for biggest companies in the world. And we're at this inflection point right now where people are effectively adding agents to their workforce, and oftentimes those agents are playing the role of humans in some way, functioning with different applications, working across the company. Like, how are all those conversations going?

how are organizations adapting and how are you guys fitting into it all? Well, on a personal level, I've never seen anything like it, the level of interest. The uniformity of the interest from customers in every vertical industry, in every size company, they want to do something with AI and they want to invest in agents, and it's quite a tidal wave of interest. I think now what really gets exciting is how we continue to turn that interest into actual revenue and actual usage of the new products. But the precondition is there.

People are definitely interested. I think what's happening is it's not a huge shock. You know, boards of directors and CEOs, they all read X. They know how excited everyone is about this. And they're like, oh, give me some of that, right? Come on. I'll take one million agents, please. Yeah, exactly.

Yeah. And then the poor people put together these prototypes and these demos. And we're kind of like hacked together. And they had access to every piece of data in the whole company. And they're like, that's awesome. Put it in production. and the developer are like, wait a minute. I don't care.

Put it in production. I told my board I was going to have an agent and this is an agent. Go, go, go, go. And so what we're trying to do is trying to help them manage that and help them, hey, track these things, make sure whatever these agents are connecting to, you know how it's connecting and lock it down, make it secure. So when they go into production, it'll actually work. Yeah. What kind of general horror stories have you heard at companies?

Is it, yeah, is it an agent that can effectively go and pull data somewhere that they shouldn't be able to? Prompt injection, like, give me a refund. There's so many different risk vectors that are, you know, I'm saying most of the time when this happens at a company, hopefully it's just internal and, like, you can correct it quickly. But it doesn't feel like we're that far off from, you know, a company not being ahead on this kind of stuff. And, you know, having an agent that can just query their own internal data and having some type of bigger leak. But obviously, you're working to prevent that. It's very simple.

the agent was hooked up to multiple data sources and to get access to more data than you wanted, you just need to ask the agent. Prompt injection sounds, it's something cyber people say to convince software engineers. It's maybe a hard thing to prevent, but we're talking about simple cases where the agent has too much access

and by a couple prompts, you can get it to tell you the customer information of a different customer. So we're, And luckily, I think, if you zoom, sometimes in Silicon Valley, we're so obsessed with the latest and greatest. We think that everyone has fully agentic customer support and fully agentic everything. But the reality is most companies are very early. So it's a good time to layer in some maybe controls and some visibility into what these agents can connect to and the data they can access.

So we can avoid some of the really bad messups going forward. Do you think that ClaudeBot now OpenClaw sort of Mac Mini agent, personal open source story is useful in concretizing what is going to happen in the enterprise over the next 12 months for you. Has it been a reference point in discussions with leaders that you work with? I think it is. It's another catalyzing event because I think in some cases, people are a little bit behind on the power and the business value that could be delivered from these agentic systems. And I think when they can, I was just at my kid's soccer game the other day, and they were talking about claw bot. They were talking about, you know, and just these weren't tech people.

They're on the sideline. And I think they were talking about how powerful it was and how they're going to get restaurant reservations. And I think that catalyzes the side of the equation, which is go, go, go. And I think, unfortunately, you're also going to see more security issues and more connections that were exposed. And MacMany with personal data. It wasn't a new MacMany. It was like your family MacMany. And now your family MacMany is, you know, the details are all over the web. You're going to see some of that.

And so we have to get both right. We have to get the business value and get people headed in the right direction and then also put the right controls in place. How do you think business models evolve in a world of, you know, potentially millions of agents, companies aren't. aren't really used to running payroll for millions of people, identity for millions of people, some people are. But how do you think all of that change is going forward? Well, I have a bunch of super strong thoughts on this. Some of them, which are maybe counterintuitive. I think, first of all, I think in five years, there's going to be way more software engineers than there are today. Whoa. And it's a little bit of a trick answer, mainly because I think there's going to be way

more software. Okay. And, you know, they'll be more productive, but you'll have more software engineers. I guarantee you all these companies, meta, Amazon, Google, Anthropic, they'll have more software engineers in five years they do today. And double-click on that. Do you think it's that we're going to see more computer science degrees become software engineers in the traditional sense, or that designer that you have, that PM, that business

leader, maybe even your CFO, all of a sudden, is a software engineer or is critical? creating software? I think, so I think what a software engineer does, but I'm not trying to cop out and say all people are going to be vibe coding and that's my software engineer account. I mean people building and architecting software and knowing in terms of how it works. They're not going to be writing as much code clearly, but I'll give you a secret. For the last 30 years, we've had integrated development environments that are helping us write code more efficiently. This is a whole other level, but it's not a new thing to get better tools to help us make software. So there's going to be more software engineers, but there's going to be

even more than the increase in software engineers, there's going to be way more software, which is super exciting and super daunting. Now, back now, if you layer on, you know, are people going to build all their own software or buy software for vendors? I think that is unequivocally. They're going to buy more software from vendors, for sure.

Yeah. Now, the tricky part of... People have to, people that are just bearish on enterprise software have to remember that there's been open source equivalence of like almost every major... platform forever. It's like you could just pick it off the shelf and run it and maintain it. It's easy, right? Yeah, and I think kind of like there's going to be, this kind of goes back with my first thing

I said about more software engineers. There's going to be more software. So there's going to be more packet software. There's going to be more custom built software. Like, for example, there'll be a lot of, I think, people use, companies using these software development tools to build the applications that have to span the multiple silos and the multiple systems. Right now, these companies have a very hard time of building something that goes from SAP to content management to Salesforce in an end-to-end process. And maybe there'll be more customization and more vibe coding and more people doing clod coding to build that. But the core vendors and all of the core data sources and the core business logic and processes, that's going to get bigger and bigger. I'm 100% convinced of that, which is dangerous.

You should never be 100% convinced of anything. I'm trying to make a point here dramatically. No, I love it. Last year and continuing into this year was all about coding agents. Do you have, based on the conversations you have with Fortune 500 companies and things like that that are maybe slightly outside of just like San Francisco tech, like what other forms of agents are you most kind of bullish on for this year? Orchestrators or orchestration?

I think it's, so back to my, what I started talking about, before. Now, by the way, I don't think that the vendor lineup of established software companies is not going to change. Just because I think there's going to be more and more vended software sold, it doesn't mean that the people that are leading all the categories right now are going to be leading. I think one of the most exciting things about what's, I mean, this is an amazing time in our industry. And personally, it's super motivating for me and for our team. But the most amazing thing is every leadership category is kind of for grabs. You have, I mean, how crazy is this five, 10 years ago thinking, oh, AWS might not be the number one infrastructure provider.

Yeah. I mean, that's crazy. You thought that was locked in, but you see Google and Oracle and these companies, that's up for grab. You see, and I think the same thing is true for all of the category. So it's not like there's no potential for disruption. I mean, in our world, it's very possible that if you look in cyber, that in five or ten years, the biggest category in cyber is identity. Yeah.

I mean, that's pretty exciting. Right now, it's, you know, firewalls and sock and. endpoint, but it could be identity. And everyone sees this. You pile all the network sees this and service now sees this. They're doing acquisitions. And that's exciting. But anyways, back to my point is that it's exciting things could change. And the real exciting agenic or the new type of software, I think, is the type of software that crosses all these silos. If you think about it, that's what people were uniquely good at doing. They were uniquely good at doing, okay, I'm going to look in this system. And I know about this little corner case and this.

other content management system and I can apply some intelligence on that and go back to update. That was very hard to do for packaged application vendors because they're inherently in their own silo and they have to make things comply to their own business rules and database. And it's very hard. I mean, I worked in enterprise software for all the years before I started Octet. It's very hard for an HR company to think about end to end or a Salesforce automation company to think about end to end. So I think this agentic systems that can cross these silos is a very, very exciting

opportunity. Last question for me. Is 2026 the best year to move to San Francisco in history? Oh, now you've got me, you're getting me really worked up now. My strong conviction. I love San Francisco. And I think all of these people that said San Francisco is dead and it's a mess was totally overblown. San Francisco is an amazing, beautiful place. And no matter, you know, is the government perfect? No, is any government perfect? No. But it's an amazing place. And all the people still want to come. come here. Yeah. You look at, I mean, how many people moved to Miami are now coming back? I mean, where are the great new companies being started? I think so I love San Francisco. Tech is just ping-pogged. Behind me that says San Francisco? Yeah, you got a bridge.

You got a bridge. Hey, we think somebody, we think somebody should, we think, literally gold. I mean, everyone should know that the Golden Gate is not really gold. Yeah, but whatever. But your gate is gold. Well, we think you should, you should sponsor, you should pitch the city to sponsor the Golden Gate Bridge. Yeah. Let's put a huge octetide. It's wide open. Let's put an it is. It's a big metaphor. Hanging. Hanging on. Hanging on. hanging under it. For your identity as you go into the city. This is great.

We can connect Marin to Fort Point, yeah. Yes, this is integration. This is fantastic. Well, thank you so much for taking the time. Yeah, great time. I'm a busy day to come hang out. We'll talk to you soon. Come back soon.

Bye. Thanks. Let me tell you about Cisco. Critical Infrastructure for the AI era. Unlock seamless real-time experiences and new value with Cisco. And without further ado, we have Dr. Alex and. Brodowski from the Biological Computing Company, finishing out our Lambda Lightning Round.

What's going on? How you doing, Doctor? What's going on? It's good. Good to see you. A lot of whiteboards today. Yes, I'll ask you to explain that shortly. First, give us an introduction on yourself, since it's the first time on the show.

Yeah, absolutely. So my background, I'm a neurosurgeon, a neuroscientist. I've been growing neurons on electrodes for about 20 years. I spent the bulk of my career studying how neurons and brains process information. First in humans by implanting electrodes in the laboratory by growing neurons, as I mentioned, on electrodes. Really quickly, when you say growing neurons on electrodes, does that look like a petri dish? Is that organic? Is that meat space? Or is this a digital representation of the neuron? So there's no neurons on this, but this is the dish that we grow them on.

Okay. You can see it here. Yeah. The little box in the middle has about 5,000 electrodes. Wow. And yeah, and we grow them on there. They're alive, and we use them to process information as computers. They're biological.

These are cells that are all connected to create the neuron. Fantastic. What can you do with it? I feel like a lot of people are pretty happy with their Nvidia GPUs. What do I need a biological computer for? Yeah, absolutely. So first of all, neurons and brains are, extremely more energy efficient than silicon.

It's well known. And our first application is to help solve this energy, this looming energy crisis that's happening. Second of all, neurons can change the way they're connected to each other. So, as you all know, current hardware is rigid. It doesn't change. Whereas as you're learning about our products and our company today, your brain is changing the way they're connected to each other.

So we're leveraging all of that for compute. How much of this is a science project? How long will you be in R&D? What is your timeline? I mean, we're no, we're not afraid of science projects here. We talk to folks all the time that are, give us timelines like we're going to be live in 2035 and we love that. But it feels like you're making some pretty advanced progress. So talk to us about how the business shapes up when you see this going into production, what the milestones are. Yeah. So I have like a big note here. Sticking note on my monitor. This is not science fiction. This is not research. You know, if I was going to get anything across, that would be the thing, right? We're doing this now.

We're deploying it. Yeah. So far, our products are twofold run. We're using the biological network to create a software layer that plugs directly into A&N's artificial neural networks now to make them better, better, faster, cheaper. Okay. So that's currently happening. In addition, and you asked about what this thing is,

this is what we call our algorithm discovery platform. So we're using real brain cells to identify what's coming after the transformers. So what we do that is we build state of the art models in house. We parameterize them. We ultimately use the biological network to understand neuroscience principles and define the neuroscience principles that can be plugged into these state of the art models. And we do this in a loop. And in the end, these plugins improve them and make them better, faster, cheaper.

Do you have any reflections on the shortcomings of current AI models, why they differ? There's that sort of famous quote of like you don't need, like a teenager can just learn to drive a car in like a month of, you know, a couple hours in the seat. And yes, we're able to train Waymo's, but on an energy and time perspective, like on an apples to apples basis, you're effectively, you know, doing like a million. hours of training, and you don't have to give a human a million hours of training to drive a car. So what is different about the current structure of AI systems versus the way humans actually learn? Yeah, absolutely. So that's a bit of a history lesson.

So going back to the 1950s where we had the first perceptron, McCullough Pits, neuron, that was actually based on how we understood at least at the time, how neurons function. Fast forward to the 1980s, back propagation, won the Nobel Prize a couple of years. years ago, that's when a divergence happened. At that point, as back-reprovocation is not a real neuroscience principle, and that's when this divergence happened. And ultimately, since then, software and hardware became very unbiological in the sense that, again, it's rigid in the way of process information.

At the same time, though, interestingly, around the 1980s, neuroscience flourished. We started to be able to grow brain cells in a dish. We started to understand what the neural signals coming from brain actually means. This is the basis for a lot of the brain computer interface companies that are currently out there. And so three years ago, when we started the company, we said, okay, well, you know, now we're going to take a 2026 approach and understanding of how neurons process information. We're going to apply it towards novel AI systems. How do you keep the neurons alive? What do you feed him?

yeah so um they live in a media it's got proteins um it's got sugar in it it's it's actually relatively simple it's Pete it's Ray Beat it's on the Pete diet it's got sugar geordie you're you're gonna prove this is it great your super food yeah yeah these these techniques have been kind of perfected over the years again is one of the things that allows us to do this we can buy for over a year yeah um yeah sugar protein any any olive oil any fats? We got we got some Brian Johnson steak oil right here. You could put that in there. Definitely some olive oil. We'll try it out. What a yeah coming like fast forward to the end of this year. What are you what have you done that allows you to feel comfortable taking like, you know,

Christmas off or New Year's Eve, something like that? Yeah, that's a great question. So customers, collaborations, design partnerships. You know, right now, the adapter product that we have plugs into video generation models. And so, you know, we are open to working with any foundational model lab that's compute constrained. And so we can make them more efficient. Which is every lab. That's right. Similarly, as I mentioned earlier with our algorithm discovery platform, we're looking for partnerships with the hyperscalers.

I mean, you know, they have research arms that are interested in what's coming after Transformers, right? And so we'll take the holidays off once we're working with them as well. Well, you raise some money. How much did you raise? I'm very happy to say. So we raised a $25 million seat. Seed. Not bad. There we go. What's after a mango seed? What's bigger than a mango seed? Because I think of a mango seed as like eight. This is like a watermelon.

Yeah. Watermelon has small seeds. Watermelon big fruit small seeds doesn't apply. Mango is the biggest seed. It's just the end of the road. After that, you just go giant AI seed round. Well, congratulations. And thank you so much for coming on the show and breaking it down for us. Yeah, come back. Like, as you guys have throughs and things like that, come back on. You don't need to have fundraising news to come on and talk about biological computing. You guys come to the lab. Yeah, that'd be awesome. San Francisco and Mission Bay. You guys are always welcome. come. Amazing. See some brands. Thank you so much. We'll see you soon. Great to meet you. Have a good rest of your day.

Let me tell you about graphite. It's code review for the age of AI. Graphite helps teams on GitHub ship higher quality software faster. And without further ado, Andrew Huberman is the founder of Huberman Lab. He's here in the TVP and Ultradown. Welcome to the show. Here we are. Cheers.

Cheers. Podcast in a can. Can you hear me? Yes, we can hear you loud and clear. Give us the latest on Maturton. Matayina, Yerba Mote. Yeah. Zero sugar, cold brew, Yerba Mote. I'm half Argentine, so I've been drinking

Mate since I was a kid. Okay. It's got caffeine, and it's a super smooth arc of caffeine. That's why I love it. Yeah. But the zero sugar, cold brew, yeah, we made five different flavors.

It's organic. BPA, BPS, PFS free cans, because a lot of people worry about that stuff. Yeah, smart. Nobody wants the credit cards worth of microplastics in their brains, testicle, and ovaries. And it's free of all that.

and it's awesome. I have very high caffeine tolerance, so I drink, no joke, like four to six of of them a day, but most people do just fine with one or two. I'm right. I'm right with you. I don't know. It's crazy. So we have like such a regimented schedule that my caffeine intake during the week as I wake up. Yeah. I don't follow your protocol around waiting. I get right into the Yerbaugh-a. I actually have A-B tested it. I noticed, I personally noticed no difference whether I get started. So you have one in the car before the gym? I have one in the car on the way to the gym. caffeine before the gym is such a hack, and I don't do it, and I need to get back into it. I don't know.

Sometimes it's tough. How underrated is caffeine as a performance-enhancing drug in the gym? I feel like that's good. Well, look, if you have anxiety issues, you should be careful with caffeine, but if you don't, caffeine's great. It's definitely a performance enhancer, so much so that, you know, the people that regulate this stuff in sport, set an upper limit on the milligrams of caffeine that you can ingest. Yeah.

But what I cut off the caffeine intake at about two people. PM. But listen, I also drink caffeine first thing in the morning if I'm going to work out in the first two hours of the day. And that's about three, four days a week. I do that. Other times I, you know, I wait a little while. So it's really an option. But I love your, but I also drink coffee. I'll have a couple of espresso. And I love it. I mean, but like you guys, I'm get up, hydrate, electrolytes, caffeine, family, work, work, work, work, work, work, work out, work, work, work, work. And then by eight o'clock or nine o'clock, if you cut the caffeine out earlier, you're going to crash on a steep cliff, and it feels great as you fall asleep easily. Yeah. I always stop it. I always stop basically when

the show ends. That's when I'm having my last caffeine for the day. I sleep amazing and then get it started again. Yeah, the challenge is on the weekend because in the week, our schedule is so regimented. And then on the weekend, it's a little more flexible. And I'll start feeling if I haven't had my fourth year, but by like 1 p.m. My fridge at home is filled with mutter. Yeah. Because if I don't, like not a good dad. I mean, in South America, you'll see people drinking Yerba after meals because it helps with digestion. It's a mild appetite suppressant. So if you, like I like to work out fasted, it's not going to kill your appetite, which is good because, you know, we still need to eat. Everyone's like trying to eat less these days, it seems, but still need to get the nutrients.

And then it's high in antioxidants. It's got a lot of positive benefits. And it's not necessarily an alternative to coffee. You could do both. But it's not an energy drink, quote unquote, but in the sense it doesn't have alpha-GPC, touring, all those things that a lot of energy drinks have. Not to knock on those things, but, you know, I think Yerba coffee, it's a great. The challenge is making traditional energy drinks a habit. You're like supplementing a bunch of things that you don't necessarily, like you have to understand you're signing yourself up to be like constantly dosing supplements

that a lot of people just aren't fully aware of because they just look at it. They're looking, how much caffeine does this? have and not really paying attention to the other stuff. How is the business, oh, sorry. No, go ahead. I was just curious about the state of the business distribution. I mean, you have a massive audience, so the logical place to start is direct to consumer, but the final boss of almost every consumer product is retail.

How are you thinking about the rollout of the product? Yeah, it's going great. I mean, we partnered with Matina, so I'm a partial owner with SciCom. You guys know Rob and the rest of the guys at Sycom, Andrew Wilkinson from Tiny. Oh, yeah. And we are available online through Matina, through Amazon. We launched in Whole Foods in Costco, Canada, and in sprouts markets just recently. And pretty soon it will likely be everywhere you look.

And people love it. You know, I'm very happy when people say they love it. It's delicious. You know, 90% of the world's adults drink caffeine every single day. It's the most popular drug in the world. And most people need it to function pretty. pretty well. But recent study showed, they looked at coffee, but a couple of cups of caffeine coffee per day, it seems like it can offset some of the dementia risk. Now, there are, I mean,

it was with a study like that, there are a bunch of, you know, issues. It's not necessarily causal, right? People drinking caffeine, probably working more, focusing more, more cognitively engaged, et cetera, et cetera. But as long as it doesn't send you into a spiral of anxiety, you know, caffeine is quite good for you. That's very clear. sort of random but do you have any insight into what what different groups of Olympic athletes are doing there's when I've seen some I've heard some stories like there's such a range with these athletes where you might have like an Olympic snowboarder who's like you know hardly sleeping and just like having some energy drinks and heading out there and then you have like the guy that's doing like

curling is like, you know, the most regimented or whatever. Obviously, everybody's different. But what do you think the, what do you think the best athletes in the world are doing this Olympics? Like what's, what's cutting edge that maybe normal people aren't thinking about? Yeah. So, I mean, this also showed up in the NFL a little while ago, but people are taking vasodilators. You know, Viagra and Tadalafil commonly goes by Cialis. You know, Tadalafil is a vasodilator. lowers blood pressure. And, you know, people know of it as Cialis for erectile dysfunction, right? But it was originally developed as a drug to improve prostate health because when you vasodilate, when you, you know, dilate the vasculature, you get more profusion of the prostate. And you need

profusion of the prostate, avoid infections, but other things as well. So it, the basic takeaway is that most every male, 40 and older, should probably be taking somewhere between 2.5 and 5 milligrams of to dalafil, not necessarily for erectile function, although it will augment that as well, but to lower blood pressure and to improve vasodilation for the brain, for the prostate. And I'm not saying this as a biohacker or a podcaster. We had our head of male sexual health from Stanford. His name is Mike Eisenberg. He's an MD PhD.

He is best in class in terms of male sexual health endocrinology, et cetera. And that's his recommendation. and it's one that most every male, maybe 35, but at least 40 and older should take just as a preventative, you know, strokes. So you don't think that'll, people are taking it, athletes are taking it as effectively some type of performance. Yep. To lower, to lower anxiety pregame to, because it lowers your blood pressure a little bit.

They think it might be a performance enhancer by delivering more blood to the muscles. You know, you have to look at what's on the band list. And there's obviously lots of things on the band list. And then they're going to be the things that people are going to use because they're not on the banned list. And they'll be banned in the next Olympics. That's often how it goes. So I pay a lot of attention to this over the years. If you looked in the 90s, you saw things like bromocryptine, apomorphine, things that people who know those names will augment acetylcholine, dopamine, in order to improve fast transmission of neurons and alertness and focus for getting quickest out the blocks and sprinting, for instance.

Those drugs are now banned. Okay. you'll see in sports where staying calm is an advantage. Any shooting sport, for instance. Most of the banned drugs are things that lower heart rate. Imagine skiing up to a target, picking up your gun and shooting. The less you're shaking, the better. So there's a bunch of banned drugs, and then there are all the things that people will take to lower their blood pressure.

And some of those are not banned. And this is kind of how the cycle goes. We heard about the skiers injecting their penises in order to expand their bulge size, I guess it were, in order to get a little more air resistance in order to perhaps capture a little more air time. That was, I hit the press mostly because it's kind of, it's kind of humorous when we think about it. That was real. But if you look at any sport, you're going to see this. You're going to see this.

You're going to see peptides like BPC 157, I believe it's banned. But that's a naturally occurring gut peptide, very hard to test for because you have tons of it circulating. And the synthetic versions may or may not differ from that version as much so much that you can detect. it. Yeah. Interesting. You have a question about peptides broadly? Yeah, I would love, I would love like an update since we last talked.

Probably tens of millions of Americans have jumped into the fray. It's taken over San Francisco. Chinese peptides is like a whole meme in tech. And I think everyone's wondering, Faustian bargain, at what level should they be experimenting with these things, what type of research they should be doing? what is the what is the current thinking around peptides broadly okay i'll hit the the key bullet points here for the novices and for the officinados so a peptide is a short chain of amino acids you know so insulin's a peptide so when people say peptides they're generally referring to things

that people take by injection or orally in order to augment some effect healing a growth hormone release uh etc um just as when we hear the word steroids i mean estrogen's a steroid hormone. But when we hear about steroids, we're typically thinking about androgenic steroids, right, testosterone, et cetera. Okay. So when it comes to peptides, some are FDA approved, right? Some are made by drug companies have passed through their patent. Many of the so-called growth hormone secretagogues, Tessa-Morellin, Ipermerellin, these are things that cause the pituitary to release more growth hormone. These are been tested, FDA-approved. Most people are not getting them from drug companies. They're getting them from either compounding pharmacies, which are a lower cost alternative, that

there isn't as much stringency in terms of purity. So it varies by compounding pharmacy, or from what we call gray or black market sources. So when you say Chinese peptides, what you're talking about is you can go online and buy peptides that are listed or labeled as for research purposes only. And that's what a lot of people are injecting. And that is a concern. And I, you know, I'm not saying this because of my relationship to Stanford or anything like that, but I'll just say, I do not think anyone should inject peptides that are labeled as for research purposes only because, even if it says 99% purity, the 1% is likely to be something called LPS, lippi polysaccharide, which can cause inflammation.

It's not a good thing to be injecting. Maybe one injection doesn't do anything, but when you're injecting every day for five, you know, five days a week and for a month that you can start running into some issues, autoimmune effects, and so on. That said, let's just acknowledge what people are doing. And there's some peptides that have very impressive results for which there's essentially no human, good human data, lots of animal data, and lots of anarch data out there. For instance, people will claim, although there's no really good clinical trial, that BPC 157,

which is a synthetic version of a gut peptide, can accelerate their wound healing. What's the problem? We don't have a control experiment. It acts systemically. So I can't inject it in one elbow, not the other. If I have two elbow injuries and say, okay, it worked better for this one, not the other. people claim it could be placebo but people claim that it helps them study where they break both of your arms but it but the issue is that it goes through your whole body yeah yeah you know and it

it increases vascular growth it increases nerve growth it increases cartilage regrowth from the animal studies we know that so the logical backbone is there people are using it like crazy the lethal dose is very very high i don't even know if anyone's achieved a lethal dose the one study that was done in humans it looked at, believe it or not, BPC enemas at very, very high doses for a gut, like a colitis issue, I believe it was. Listen, I think you have to just decide what your margin for risk is. The other one that's very interesting that not a lot of people are talking about is pinealin, which I've tried it. I don't take it any longer. I tried it for a little while, and it doubled my REM sleep. I was getting close to three hours of REM sleep per night. It's thought to increase

regeneration or the health of pinealocytes, the pineal, which make melatonin, and so on and so forth. the big one, the peptides that's going to change everything. I think I tried that, the one you just mentioned last week. I was hanging out with David Senra and a friend of ours had it. And I think it was in a capsule form. I expected it not to work very well. Friends said it works fine. I tried it.

No effect on my data. Is that, how do you think about different form factors? injectable only and on an empty stomach, meaning not having eaten in the previous two hours, 30 minutes before. Because that's an issue. That's an issue because it's a great market right now. People will just be like, yeah, I'll sell you a peptide in this capsule. Technically, it's what I'm saying it is, but I'm giving you it in a form factor that doesn't actually work. And so it's all placebo. But I just looked at the data and I was like, I tried this two nights in a row. It had zero effect. And I don't think a lot of people. I doubt it was pineal. And sometimes they'll throw some melatonin in there. you feel quote unquote

an effective for some people. You got to get it from a compounding pharmacy or a reliable source. I'm not suggesting people do it. I actually stop taking it because, and this is not a promotional, but I take AGZ, which is their sleep formula.

I help design it. My sleep on AGZ is amazing. Amazing. I'm getting two and a half hours of REM sleep per night. I get tons of deep sleep. I feel great. So I don't need pinealine.

But the peptide that's going to change everything, and this is more up your guys's alley because this gets right into the business sphere, is Lily Lily has a patent, Eli Lilly has a patent on a peptide called Reda Trutide. Reda Trutide is sometimes referred to as GLP3. It's a triple agonist of the GLP1, which we're all familiar with, glucagon and something called GIP, I believe. If I'm wrong, someone will correct me, of course.

The interesting thing here is that in a phase three clinical trial in humans, it caused up to one-third loss of body weight. So a loss of one-third of body weight in about. six months time. And it seems like there's some degree of muscle sparing. It works phenomenally well for weight loss. The bodybuilding community has been onto this for a long time, right? Bodybuilders always get there first. Then what happens is in Florida and the United States, doctors who work out in gyms with people who know how to gain muscle and lose fat quickly start experimenting. Then it goes into their high-level clients.

Then it shows up in Hollywood. Everyone lies or avoids answering the question of how they got so jack. They talk about eating chicken breasts, and they're actually taking growth hormone andcipianate and Wynastrol and Retrutatide, a redatutide, excuse me. And then everyone hears about it and they start, you know, whatever, looks maxing it. And then it's a big giant mess out there. Here's the deal. We are looking at a potential change in the laws around peptides such that buying peptides

would become illegal. I actually think this is a terrible idea, but the motivation behind this is largely because Lilly owns the patent. People are already injecting Reda True Tie. They can buy it out there. They're taking it maybe a third of the dose that's recommended in the trial. And they are seeing phenomenal results at fat loss. Not a week goes by where I don't get 100 questions about Reddy at True Tide to my phone, my personal phone, let alone email and et cetera. So the reason why peptides might soon become illegal to purchase through even compounding pharmacies, let alone gray market, is because Lily would like to protect the domain over that patent. This is going to be a trillion dollar drug, trillion dollar. But people are already taking it. I've never tried it, but people I know who have taken it said it works phenomenally well at a fraction of the dose. So today I look at- What are some benefits that outside of weight loss? Are there secondary- Reduced alcohol appetite,

reduce impulsivity, perhaps. Remember that the receptors for these things are all over the brain and body. And, you know, the other GLP agonists have been looked at for alcohol use disorder, for binge eating disorder, and for a lot of, you know, behavioral and impulse control disorders because a lot of the receptors are rooted in the hypothalamus,

which controls a lot of impulsivity type behaviors and anxiety-related behaviors. So, you know, my stance on things is, you know, do as you wish, but know what you're doing. But with the important caveat that if you are an adult and your body is fully formed, you are in a completely different landscape than if you're 14, 18, 20. You know, I worry very much. We're hearing more and more about young people, especially women in the past,

but now also young guys who are thinking, oh, you know, they've got to take TRT. That's crazy. You know, I've talked about the fact that at 45, I'm 50 now, at 45 years old, I started taking a microdose of sippinate, micro dose, but micro so I maintain fertility. I've checked that. I take HCG, et cetera. Never in a million years would I suggest anyone else do that in their 20s or 30s

unless they have a serious issue. With peptides, there's the risk of where you're getting it from, purity, right? But there's also the risk that if you're augmenting growth hormone in your teens, your 20s, you can really mess up your hypothalamic pituitary body axis, all the organs of your body in major ways. You know, shut down fertility. You get, if you come off these things, you, you, you, you, you, you, you, you, you, you, you may revert to a state, a, you know, a depression, et cetera.

I just think the whole looks maxing phenomenon is really, really dangerous and foolish, especially in people younger than 40, right? It's just... Well, especially because there's a way to looks max without hitting your face with a hammer and or, you know, taking... Hitching 99% of the way there. Also, see, you need to evaluate kind of where you are at the very end of puberty. Puberty is a very protracted thing.

You know, I hit puberty when I was 14. I didn't shave until I was 20. I swear my head and face change shape, you know, over time. You got to let people develop over a long period of time. If you introduce exogenous hormones or you start blunting estrogen or you start, you know, because guys will say, oh, they have too much estrogen or something where they start taking peptides. I mean, you can really throw off the trajectory of your physiology. And then you're the person in your 40s and 50s, often who looks much older.

This is the thing that people don't realize. that there's always a dynamic tension between the things that give you vitality and the things that extend your life. For instance, if you take growth hormone, you'll feel more vital, you'll gain muscle more easily, recover from injury more easily, you'll lose visceral and body fat. Guess what? You'll also age more quickly. The reason bigger dogs die earlier than smaller dogs is they have higher dosing of growth hormone and IGF1. It's well established. So you get vitality, but you lose time. With testosterone, you have to ask yourself, what are you gaining? What are you losing? If you can go from, you know, having no energy whatsoever to the ability to work and exercise,

increase libido, et cetera, well, then you're probably gaining years if you're doing those things. But I'm very concerned about people just, you know, trying to get a whatever, an angle, jaw line, you know, abs, et cetera. I mean, it's because of phones, right? People are taking photos themselves. I mean, I'm old school. So I feel like if you're a guy taking pictures of your abs and posting it online. like you need to invest the money in a psychologist, not in it in its peptide. But that's just a, you know, that's a generational thing, right? I think I'm more impressed by what people can do with their physicality,

trying to hit it, some numbers, some lifts, some running, some hiking, some rucking. And then, but this over emphasis on appearance on social media, I think is going to cause a lot of destruction for people that try and chase that. Do you get questions from parents who have teenagers that are, and they're considering giving their teenagers HGH? All the time. So people who have kids that are much shorter than their peers, nowadays, often, I'm not suggesting doing this, will delay puberty in their kids. They'll sometimes give them growth hormone. We know that some of the drugs, the prescription drugs that help with ADHD can blunt growth at high dosages. There's actually a very interesting drug that went through phase three or is at the end of phase

three now, which is designed, excuse me, designed for excessive daytime sleepiness called Sunosi, which is kind of a dirtier hit of the dopamine and epinephrine and a little bit serotonin receptors that is promising for ADHD. That's a non-infetamine ADHD drug. that's very interesting that might be a good alternative to some of the Adderall Vivance, etc. Of course, you need a doctor's prescription

for these things. I'll just throw out a name. I have no formal affiliation to him, but there's a YouTube channel, a guy, we had him on the podcast, Dr. John Cruz, K-R-U-S-E, who has covered every aspect of adult and child ADHD from behavioral tools to the different drugs,

the amphetamine-based drugs, Sunosi, and all of those. Modafinil, very, very, high information content, short videos, 10 to 15 minutes, nothing like mine. You know, mine will cure insomnia. So I send parents there. And look, I can say, what are you doing giving your kid growth hormone? But like, I don't know, I was never the tallest in my class.

I was never the shortest. I'm, you know, 6'1 if I stand up straight, you know, 511, if I slouch. And so I do understand why people feel like they need to do this for their kids based on what you hear out there. But when you start playing at-home endocrinologist, and now it's very easy to find a physician that will work with you on these things, you are, you're, you know, you're playing a dice game. And you're playing it. So you have to think real carefully about when and if to do these things. But ultimately, you know, parents decide and kids decide. Switching gears. I want to talk about cannabis. I was about to ask. Yeah. Are you guys fans? Be honest. No. I'm not a fan. No.

I mean, I grew up in Northern California, so it was always, it's funny, wine country is like cannabis country, you know, it's less visible than, you know, the vineyards and things like that. It used to be expensive, difficult to obtain, laced with oregano. Now it's like industrialized, available at the push of a button. And, and I mean, the New York Times is writing that you see these charts, like the number of hospitalizations. That was never a thing in the 90s. that I remember. And it feels like we're on the cusp of really just rediscussing this as a society on are we in an epidemic? Do we need to have a more national conversation? But what are you seeing in the research and in your world about how big the problem is? Yeah. Well, as a personal stance,

I'm largely for legal but regulated. That just has my personal stance. I only just throw that out. That's just me personally. I've hosted two guests, one clinician, one scientist. about this and I did a solo episode. I did the solo episode. And in addition to making some small errors in there about receptor affinities and things like that, I made a statement, which was based on the literature I was seeing, which is that there is a population of people, especially young males who have a predisposition to schizophrenia or bipolar, meaning they have a first relative with those conditions that are

at very high risk for cannabis-induced psychosis, some of which doesn't reverse, which is really scary. I got accused of misinformation by traditional media. Not, you know, not like being off misinformation. And I'm going to keep my hands under the table because my response to that I think they can understand. Yeah. So misinformation. Those are the data. Journal of American medicalists. Yeah. I witnessed a close friend. And at this point, everyone has the anecdotes as a kid. Yeah, me too. Yeah. Well, now the pendulum is swung back. Yeah. And those same publications are saying, it can cause psychosis. Okay, look, so there's more data. I get it, right? And the media game is a whole discussion into itself. So I had one guest come on,

very thoughtful guest, a researcher from Canada, who explained that the psychosis is often caused by an over-ingestion of too much THC. And in his words, just to be fair to him, because he's a serious researcher, a serious scientist, said that when people smoke, so if they inhale it by vapor smoking, they tend to hit a plane of high that's not excessive, and the risk for psychotic episode is lower. Then the clinician I brought on said that he's not observing that. He's a clinician Keith Humphreys from Stanford. He's not observing that. He's an expert in addiction of all kinds.

And so what we do know for sure is that THC concentrations are very high. It's very easy to over-ingest through an edible versus through inhalation. Look, I think that the issue is how often and how much and on what genetic background is somebody doing this. Now, the problem is you don't want to be part of the experiment. You don't want to be the person that discovers that you have a predisposition of psychosis by smoking high THC weed. We see the same thing with Kratum. So with Kratum, you've got Kratom products that people will say, oh, you know, Kratom help them get off opioids.

And I don't deny that, right? You've got activist groups that are pro-Kratom. You also have people who will say they took so-called Kratom products, which are isolates of the molecule. This is what we tend to do in this country. We find an interesting plant that has some psychoactive properties. and then, I don't know, maybe pull the nicotine out of tobacco, concentrate it. Next thing you know, they're making money and you're putting in, you know, five pouches a day. They'll take kratum the plant, which is chewed, the leaves are chewed.

People will say, oh, it's kind of a balance between alertness and calm. They'll isolate kratum, then they'll do kratum isolates. And now you're getting people who are having opioid-like addiction to crate them isolate to synthetics. Likewise with THC, you had a balance between THC and CBD in the plant, different strains, et cetera, et cetera. It was a kind of a community for a long time. This has, you know, it even has religious uses, et cetera, and cultural, you know,

relationships. And then all of a sudden, it's like, no, we've got really high THC concentrates that you can buy at the convenience store. And then people with a predisposition are having psychotic episodes. Here are a couple things. I'll say one thing facetious and then a couple things serious. One, I really love to compete with people who like cannabis. Because unless they're a martial artist,

or a creative, like a musician, you're going to blast past them. So, you know, it's kind of like recommending great Netflix series to your competitors, right? Yeah, or remote work. I recommend. You're going to work. Okay. Now, that's the facetious side. The serious side is, you know, a couple of guys or friends, gals, too, getting together

and smoking some weed. And one person is like, oh, this really calms my anxiety, makes them feel as if they can engage socially. And the next thing you know, they're losing motivation. for a bunch of other things layered on top of social media, the challenges of life, as they always existed, but also nowadays. And the next thing you know, you've got somebody with some serious mental health issues

and a full-blown addiction. I do know that my colleagues that work on addiction, Dr. Anna Lemke, who's an MD, who wrote dopamine nation, Keith Humphreys at Stanford, they'll tell you that many, many more people are coming to them, of all ages, saying they struggle with cannabis. I will also say that you're not going to get REM sleep if you are ingesting cannabis,

certainly within a few hours of sleep. Anyone that quits cannabis will tell you that their REM sleep, their dreams are just comes back like crazy for many months, if not years. And you need REM sleep to offload the emotional load of prior day experiences. So I get it. And then the last thing is that there's always the comparison to alcohol. I actually did a post about this on X. But it's crazy, right? I mean, I've talked about alcohol before.

Zero is better than any. Two per week you're probably fine. If you're going to drink more, do more things for it to, you know, support your lifestyle. I'm not a teetotaler, do as you want, but know what you're doing. But people always say it's better than alcohol, as if you had to pick one. And maybe you do. Maybe in order to socialize, people feel like they have to pick one. I don't know.

I've always been able to say whatever the heck is on my mind without any alcohol or drugs. So you don't want to be around me if I were drunk because I'll tell everyone everything, you know, but no, I do it anyway. And I think it's just an issue of I get it. In your teens and 20, late teens and 20s, college, 30s, when you go to a bar, you don't want to sit around and necessarily sober. I get it. So what are you going to do?

You can have a couple drinks or weed. Which one is better? It really depends on who you are. And the comparison is just kind of a fool's errand. You're never going to solve what's better. But there are many, many more people smoking or ingesting, high THC cannabis. And you have examples of people who are extremely successful, extremely ambitious who use cannabis. But those people probably need it to not go over the peak of anxiety from their,

from their ambition. They're using it to stay in a healthy zone. Whereas people that are, you know, have more apathy, they're less motivated. They should stay away from cannabis, in my opinion, if they want to make something of their life. I completely agree. That's great. Yeah. Yeah. Hard to fit into a post on that. I'm curious. So, so, there's been a lot of studies on the impact of social media on people. mental health, right, young people, teenagers. What about, and then right now, one of the most popular words in the world is, or phrases, brain rot, right? Are there any large-scale studies being done on the impact of consuming an hour or two hours a day of short form

video? Like, what are you tracking? Because if you just look at the data, YouTube has, I forget the exact number, but the average person in the world is watching, like, meaningful amount of shorts every day. So some people are watching hundreds and hundreds. Others are watching zero or maybe a few. But there's a range. Yeah. Well, I'll just offer a tool that I think is very useful. I mean, I don't have problems with behavioral restraint, but I do have a lockbox for my social media phone. So I took an old phone. I put social media on that phone. So if people text me social media links, I can't open them. It also means that when I take out that phone, I'm posting or commenting or doing that. And I keep.

it in this lockbox, which is like a supermax prison, you can't even code out of it. It has a no code out setting. And I'll leave it in there about 20 plus hours a day. And it's just great. It's just great. I mean, your productivity will go through the roof. I mean, it's getting very easy to blow past your peers now just by avoiding being on social media a little bit more.

I mean, David Goggin said this. It's like, it's easier than ever now to be successful if you just don't do certain things. Whereas in the past, it was like, what do I have to do to be successful? Like the shortest productivity self-help book will be, you know, lock your social media phone in a box for 23 hours a day. And then I do think that, so I'm not aware of any studies looking at one to two hours per day. I do think that when you approach social media or you're getting online, I think it's important to realize that the brain has an absolutely insatiable appetite for short form video. but its appetite for long form audio is also very high.

This is why podcasts continue to grow in their reach. People don't want to hear audio turning over quickly unless there's video associated with it. So I try to get on social media at least once a day, maybe half hour, 45 minutes at the most. But I'm posting and commenting. I think at the moment where you forget time and you're just like, and it's sucking you in is the time where it needs to go back in the lockbox. But listen, I listen to you guys. I listen to news on social media. And I think that's the world we're in.

I think that some people also can be on social media and experience some distance from it. Other people are more kind of pulled in emotionally to what's going on. It depends if you're a creator and people are commenting about you or you're actively engaged in the conversations or if you're simply an observer. But I think an hour and a half a day should be the upper limit for anyone that actually wants to accomplish something in life and probably more like 40. five minutes to an hour, unless you're watching news if you're learning. How do you know if you're learning? What we know from neuroplasticity studies is that if you reflect on something the next day, you're likely to not forget it.

It sounds sort of trivial, but most of learning is anti-forgetting. In fact, there was a beautiful study done where they have people read a passage once, twice, three times or four times versus reading it just once and then self-testing on it in their mind at some point later. And the self-testing in your mind, what do I remember? What don't I remember? I forget that part, extended the memory of what was in that passage out six months to a year in some cases. So the reflection on what you saw is the key.

So if you think, okay, what did you see yesterday that was of interest where you actually learned something of value? Then you're actually learning from social media or a podcast. But if you're just getting inundated with sensory information, forget it. That's called entertainment. You're just numbing out or they're rage baiting you. And, you know, I mean, between what happened, between. like the Minnesota stuff, right, then the Epstein thing. And then, you know, the next political whatever, you know, the amygdala is just getting

hammered. And we know when the amygdala is activated, you're getting many more sort of bits of memory stored. So but you're just getting the peak of that information. You're kind of getting a summary. So look, your brain real estate is your most valuable real estate. What are you going to put in there? What are you learning?

And so I would say take a walk. and ask yourself, what did I learn on social media today or yesterday? And there's actually some learning to be had. Like, I've reflected on what I've seen in this Epstein thing. There were a lot of scientists there. There were a lot of people that buried his offenses so that he could come out as this kind of like science, finance liaison, varies. I mean, it was wild how this could happen, right, after a conviction.

And so there's some consideration to be had, but you need to get away from the content in order to think about that and then return to it in a way that's, that's, that's more, I think, nuance and they can serve you as opposed to just getting, you know, rage baited into it all. Yeah. Never get rage baited. What excites you about AI? Anything? Yeah. I'll tell you where I'm using AI. I've wrapped my book. I'm doing edits on it right now. And I didn't use AI to write my book. But what I think AI is great for is for designing little exams for yourself for exactly what I just described. So I will have, I like Claude. So I'll just ask Claude. So I'll just ask Claude. to say to test me on um give me a 20 question multiple choice test on um the microbiome as it relates to

the solo episode that I did plus you know some recent work from my colleague Justin Sondenberg for instance at Stanford perhaps the best researcher on the human microbiome in the world and and cloud will give me questions and I'll go oh that's cool I remember that or wait that's where my knowledge falls off what percentage of the vagus nerve is is uh motor descending okay those things like are important to me, maybe not you. And so I'm using it to consolidate information that I've learned prior that I might otherwise forget and update my knowledge. And then I'll go to the papers, make sure the papers are actually what's linked there

because, you know, as we know, AI can hallucinate. I think that's fantastic. So it's a teacher. I'm using it to self-test, which I know, based on a lot of literature, can help stamp down memories. So that's one way that I'm using it. I think I love the AI that's woven into eight sleep that is now. I'm no longer adjusting the temperatures. It's doing it for me. Love that. Awesome. I'm giving it my blood tests. And it's helping me navigate that. I mean, I had a blood lipid issue that was very slight, but I wanted to keep it in range. And so I started taking natokinase. I have no relationship to any company that sells it. Boom, right back into rain. And AI helped me understand what natokinase, what sort of shifts can occur. I love Claude. And I don't, you know, I mean, I'd love to work with them, but I don't have any relationship to them.

now. So love, love, love what they're doing. And I just think it's super exciting. I'm not afraid of AI, but listen, I'm born and raised in Palo Alto. So like heretical to say you don't, you know, I'm excited by the most recent tech. Last question for me and we'll let you get out of here. Tell us about the fish behind you. Oh, yeah. So those are my discus fish. They're freshwater discus. And next to me on either side, it was octopus on this side and there'll be another octopus on that side. Very cool. Octopus died after two years. They're lay eggs, they die. That's just what they do. It's very dramatic.

Cannibalized her tentacles, everything. They're big drama. That is drama. Yeah, yeah. They remind me of some online influencers who are always trying to call attention to themselves, but in the end, it's self-destruct. It self-destructs. Is it just relaxing to you? Is there, tell me more about why fish. So I've long been a fan of Aquaria since I was a kid. And it's just the goal of setting up an ecosystem that's really in balance. And it's made me very tranquil. I've always had them in my office in my lab.

Yeah. And then some years ago, I discovered a guy named Takashi Amano, who unfortunately passed away some years ago, but he developed this thing of aquascaping where it's really emphasizing the plants and the fish and the lighting. So we built these black box rooms. I'm living, so I moved into an art gallery. I converted a three-story art gallery into a living space. I have a gym, my fish tanks, octopuses, a loft upstairs.

And then in my basement is a no phone, no electronics zone where I draw do illustrations and I prepare for podcasts. and I have it set up with these warm incandescent red lights. My girlfriend and I like to go down there and listen to music and just hang, like get totally away from the world. And I just love the feeling of kind of being underwater a little bit. And they relaxes me. And I've got a bulldog puppy that was born a week ago

and he's going to be here soon. No way. More flora, more fauna is always good. Let's bring the gong for the bulldog. Bulldog. Name? Got a name yet? Yeah, Strummer after the great Joe Strummer from the clash.

I went to New York last weekend. My girlfriend and I went to go see Meet the Breeds, 140 purebred dogs, everything from the little teacup ones to the Bull Mastiff's that look like Burt Kreisher. And everything in between. And after we left, we just looked at each other and we're like, mudded bulldog, which is what I had before. I love all the different breeds. They teach you a lot about nervous systems and temperaments.

And Bull Mastiff is the perfect dog for Bird. I think he's got a couple of them. But for me, it's always going to be the mudded bulldogs. I don't think I'll ever deviate. Very cool. Amazing. Thank you so much for taking time. Great to see you.

Great to catch up. Great to see you guys. And congrats on the Super Bowl. Yeah. I hope to see you in the Olympics. We will be in the Olympics. We are. We are.

Amazing. And so Matayana's logo will be in there. Right? Yeah. Awesome. Yeah. Maybe we got to get Matahina into the Olympics. I got to talk to Rob.

Yeah. I have an idea. minute, but Rob's the whole team's. The whole team has it. Look, the whole team has it. Here we go. There we go. Love it. Yeah, yeah, we open the show. You're watching TBPN with these every day. Thank you so much. Thanks, guys. Appreciate you today. We'll talk soon. Take care. Goodbye. And with that, we do have to jump on with Tokyo. So is there, are there any post- Any other news, Tyler? Did we miss anything? Andrew Reed said literally everyone's capitulated on the AI trade. There's definitely no bubble. Surely now is the

perfect time to declare victory. Claude Codode is growing 100% month over month. Wow. 2.5 billion run rate. A hundred. Is that good? Is that good? Yeah.

There's also the Codex Spark came out today. That's like the first opening eye model running on Cerebrus. Yeah. I tried it out. Oh, you did. You got it working? So you're on the pro account? Is that the $200 month?

So you need pro. Yeah, $200 a month. Okay, I'm on that. 5.3 spark. Okay. I was on X high, which is like the highest. you know they all the reasoning tiers. Okay, I think I need to hit the update button.

Yeah, it's super fast. It's like so much better than, really? Like I tried. Codex Spark, here it is. Yeah. I think I tried 5.3 in Codex like maybe a week ago.

That was the last time I used it. It's like, unbelievably. It's so much faster. That's amazing. Okay. So this is apparently what they had internally. I think Ruin posted about this a couple weeks ago.

Yeah, yeah, yeah. No, he was really baiting it because he was like, it's slow, it's slow. Like, you know, this could take us years to figure out then it ships a week later. classic. I love it. Well, Tyler, build me an app, an amazing app. The best app ever.

Right now. One that will win awards and make me a legend in Silicon Valley. That's my prompt. And I'm waiting for Codex 5.3 Spark extra high to one-shot it for me. We'll check in with that tomorrow. Anyway, thanks for watching. Leave us five stars on Apple Podcasts and Spotify. Sign up for the TVPN newsletter at TVPN.com.

and we'll be back tomorrow for a Friday show. We've got to press it twice. The bombs still going. We love you guys. Thanks for hanging out with us. Can't wait for tomorrow. Great show. It's been an honor.

It has. Have the best evening of your entire life. Yes, and we'll see you tomorrow. Friday. Goodbye. Nice work, brothers. I'll see you on the next one.