NEWSMAX

All of that and what else is going on? Oh, you wanted to talk about Anthony Pompliano's new agentic podcast on Wall Street. The show is called Best stocks and it's 100% AI generated. Each episode is based off the agentic research articles. Synthetic AI content will be more popular than human created content, he says. And he had it covered in Axios. I could see a daily version. Yeah. So a lot of people are, are. Best Stocks is kind of a funny name because it's like the most generic for a finance podcast. Yeah. What's your, what's your finance podcast called? Called Best Stocks. But I, I think that historically, you know, the, one of the main downsides of the podcast was that they always had this lag. Right. They were recorded, edited, and then eventually published. But people. And so like, in some ways, TV remained competitive as a place where if you wanted to understand what was happening in the markets, you turn on cnbc. Right. It's always on. You can always kind of get an update there. And so I think that like real time podcasts, that was part of, part of what I think helped us get some traction early with the show was that we were publishing every single day. So it was like kind of a real time look into the markets. I, I think that this show, I haven't listened to an episode yet. I'll try it on the way home. But I wouldn't be given the popularity of. I think this. There's like a real time, like politics one that, that is done very well on Apple podcasts. I think that, I think that this show could find an audience. Right. It's basically Notebook lm. Yeah, but. But a little bit more curated, probably a little bit more opinionated. Yeah. You don't have to like wait prompting yourself. And I would expect this to get some level of traction of people just wanting to turn something on, understand in real time what's happening. And it uses obviously the existing distribution, so we'll see. But not as bearish as some of the other people. Well, let's.

Is different. Yes, it's. It's sort of already. It was already a public company and they're just adapt. They're doing like a massive pivot. I don't think they will make any progress at all. No, I think that it is entirely a meme. I woke up this morning, I was like, that is really funny. You know, taking the. The taking. Allbirds became a meme. Right. The company was basically dying, but the meme really remained strong. Yeah. And it's kind of making Allbirds in some way just like became such a part of the unique uniform of Silicon Valley. It was something that Silicon Valley was mocked for. And to take that corporate shell and make a mockery of our industry again feels. Feels quite fitting. And so anyways, I'm incredibly the shoes. Even Dave Portnoy said, I don't get it. He loves a meme stock and he loves a meme stock. Can we play this video? I have no idea how the actual stock will perform. Are you pulling it up? No, I don't have it here. I think you had it. But the Allbirds. Com still.

Mentioned the community notes system. How do you think about distributing findings once you actually have reached a conclusion? Yeah, so this is the principal flaw of courts. So courts issue a judgment, but they have no distribution mechanism. Sure. And we have something called a fire blanket. So we have an algorithmic posting system on X so that every single claim that is under investigation, we immediately fire off a tweet that says this claim is under investigation. Please see the full case file. And then when the similar claim is retweeted at some later point in time after adjudication is complete, we then say that claim is false or that claim is true. Please see the full analysis that was done. So it intercepts the spread of disinformation as it is happening. Very cool, Jordi. Anything else? Excited? Follow.

Claim could be baked into the Society's like mind share before you have. Yeah, so that's the fundamental problem about news media today, is that false information spreads six times faster than true information. And so the incentives for generating clickbait content is very pronounced. And we've known this for a very long period of time. And so by compressing the legal process, which often takes 10 or 20 years and costs $10 million, as we learned in the Hulk Hogan lawsuit, down to something driven through software and artificial intelligence, down to a couple of days, we can adjudicate factual disputes much, much quicker and much cheaper. The whole process on objection can cost as little as $2,000 and can be done in as little as 24 hours. So is the business model to sell directly to people that want to contest claims that are made on the Internet? Yeah, exactly. So if the New York Times writes something inaccurate about you guys and your wonderful podcast, you can file an objection. Then human investigators will investigate the story line by line, source by source. They'll call everyone quoted in the article, and then they'll present that information to an AI jury. And the original author, of course, has the opportunity to respond and say, hey, my reporting was good, it was high quality. But we live in the era of data. And I think it would be wonderful if every story published by the New York Times included the long form recordings of each interview. I've done thousands of media interviews. Journalists always record them, but they never publish them in full. And so being misquoted or, you know, an anonymous source, these are the tools that in particular print journalists use that have seen a massive degradation in trust. Yeah. Have you been following the Satoshi.

Person from Union Square Ventures to come on the show. That's true. Yeah. How many. How many. How many partners are there? Like, how big is the investing team? I guess is better question. There's about. There's about eight of us, and the whole team in general is under 20. So we're a small team. Like I said, we're all in one office and we talk a lot. You know, when I was at Spotify, Gustav Soderstrom, who I think you've had on the show. Yeah, yeah. Had this famous saying inside of Spotify. Everyone in Spotify knows this saying. Gustav says, talk is cheap, so you should talk a lot. And what he means by that is the cost of getting something wrong is actually way more expensive than the time it takes to actually talk and align and earn the right to go invest or spend or bet on something. And what I've always loved about USV is they have a similar philosophy. They talk a lot. It's a small team, but they spend a lot of time together, forming their point of view on the world. And to your question earlier, I think that's what's given them the edge. Yeah. Well, they're very, very lucky to have you and excited to see what you guys do together. It's great to see you. Thank you. You too. And by the way, congrats to you guys. Thank you. Thank you. We're very excited. Come, come. Come see us when you're coming in, and we'll do the same. I'd love to. I'd love to talk to you. We'll talk to you later. Have a great rest of your day. You're the man. Thanks, Sean. Thanks, Jordyn.

How are you thinking about wearables these days? It feels like the meta Ray Bans are having like an inflection point. There's, you know, Apple's coming to market with stuff. There were a few startups that, yeah, the health side aura. Whoop. Yeah, I've seen. It feels like it's maybe under covered, but have you processed any of that as like an interesting endpoint for technology broadly? I think there are a couple interesting aspects about it. Jordi, you mentioned earlier at the top of the App store, we're seeing the same three apps now for, you know, the past two years or whatever. You know, hardware, which I think has often been thought of as too hard. Right. You always hear the term like hardware is hard. And so venture capitalists often ignore it. You know, we might want to rethink that a little bit. Hardware could be considered a wedge now. Right. Maybe it's. Maybe it's actually a defensible layer where if, where if you can actually have a successful product there, that's going to be a lot harder for a massive foundation model lab to go and replicate than, you know, leveraging their distribution for a new form of data collection or whatever the case may be. I think there could be some interesting edge model or edge data out on a hardware device that is pretty defensible. So that's something interesting I like about it. I think the other thing that's interesting about it is you guys have talked a lot. I've talked a lot about how context is king and finding these edge data sources is really, really unique. And that's obviously something that has been pretty fascinating about granola. They're capturing these conversations that you can't really capture any other way or aren't being captured any other way. And so that provides a lot of model to, or a lot of value to the model. Hardware offers a similar opportunity. Right. Where using hardware, whether it's the glasses or maybe something else completely, a pen, an oura ring, you're capturing an edge form of data that the labs can't really see unless they have that hardware. So I actually find hardware to be quite compelling at the moment, and I think it actually is an area of opportunity. How are you seeing startup culture change in terms of like, who's hiring? I'm thinking.

I actually don't need all of the hydration. You can just, you can just send the prompt. You guys are a remote company. Do you think that gives you an advantage in the AI era? What are the ways? I think the biggest advantage we have is every last bit of work exhaust is documented. So all of the stuff is inside of Slack. All of our meetings are recording every last inch of work that happens. There is a written trace of that. We can put chatbots on top of that, we can put LLMs on top of that. And that creates a whole bunch of institutional knowledge that accelerates the work. So a new person coming in can literally figure out is there a standard operating procedure for this, Is there a skill for this? Is there whatever to do this thing? You don't have to go chase people down in offices and tap on shoulders and hope that the campfire wisdom finds you. So I do think remote companies have a big advantage because they do tend to have so much of the work has a digital exhaust. Yeah. How.

All right, we gotta close. We gotta close out farm people who are doing schizo edits now. It's in the timeline. 4,000 people liked it. I missed this. You. You missed this one. Look at this. I. I imagine this says, oh, this is the. The pig pageant. I've seen people direct their pigs with the. With the little guides. We have some SD Kid here. Oh, it is SD Kid. There we go. It sounds like in that genre, but the. The background is crazy. The. The rotoscoping is extremely sloppy, but that is the essence. All right, enough of that. So edit. Yeah. Gonna give you a headache. Enough of that. Enough of that.

Speaking of Meta, Meta Platform's CEO Mark Zuckerberg reportedly moved his desk into the AI lab, working directly with Alexander Wang and Nat Friedman. Zuckerberg is reportedly coding throughout the day. There's a story in the New York Times about AI sunglasses. I feel so sorry for my AI sunglasses. And it opens with this anecdote of about trying to use the glasses to identify. What is it? Some sort of bird, it says. One afternoon on a sunny stroll, I stop to admire a bright red cardinal singing its heart out in a tree. Hey, Meta, I say. What kind of bird is chirping in that tree? My sunglasses make their little ding dong noise, analyzing the world. Finally, they speak. I don't see a bird in the tree or hear any chirping, they say. I point directly at the bird, which is still chirping. I don't see a bird in the tree where you're pointing, my sunglasses say cheerfully. Just bare branches and sky. For several weeks, this is how it goes. The disorienting sense of chatter with a toddler who is drifting off into nap time. Look, it would be easy to dunk on my very expensive, staggeringly incompetent glasses. Critiquing AI these days is like shooting fish in a barrel. And I mean poorly animated fish that keep sprouting human fingers inside that barrel. And so yeah, it's a very interesting read because it's clearly like there's so many times when you're interacting with an old legacy model in a particular, in a particular endpoint where you're not getting the most frontier intelligence and it can really throw you off. Andrej Karpathy had this whole take about people that used like early LLMs that would hallucinate and haven't tried the latest coding models to really understand how powerful the technology is. There's this big division and so you sort of have to do both. Acknowledge that diffusion takes time. Actually rolling these models out to device levels like glasses takes time. Yeah, it's interesting with Meta because it feels like their glasses. I'm getting served a lot of videos. Oh yeah, people are using them as GoPros. Yeah, but they're just cameras. Yeah, as cameras. And I know a lot of people that use them as AirPods replacements. Like they use them just to take phone calls, listen to music because then they don't have anything in their ears and it's just more comfortable for them. They even have clear ones that they can wear on. It doesn't really work on a plane because it's too loud when they're just in the office. But actually getting the AI features, these devices is true. They have humor bench. Oh, yeah. Hey, Meta, I said one day, tell me a joke. Why did the baseball go to the doctor? Why, Jordy? It had a little rundown in its batting average. Rundown? I don't really get it. Swing and a miss. Yeah. It might be better in this case just to pull from the bank of vetted jokes. Yeah, you don't need to generate one. Siri did that early on. Look up. You can just look up some of the best jokes. When Siri initially launched, they had comedy writers write out a whole bunch of jokes. And when you ask Siri tell me a joke, it would just pull one off the shelf. That was handwritten by a human about Siri. Aware of the context, aware of everything. I'm now I have triggered Siri, so I'm in trouble on my laptop. But it is just very interesting. Apple, of course, we touched on this. They Mark Gurman has a report on the upcoming AI Smart glasses. They'll come in several styles and colors. A few of those frames seem like they're direct competitors to Wayfarers. Will be very interesting to see the ecosystem integration with Apple. And Dan Primack has a take here. He says Apple isn't burning mountains of cash on GPUs or investing billions into Frontier Labs, but it still may win the AI race. Success from the sidelines. Sort of a contrarian take at a time when Apple doesn't really want to talk about AI Right now, they're clearly in this rebuild moment, really don't want to talk about AI. But they have partnerships with OpenAI, Anthropic and Gemini at this point. They're using AI tools all over the company and it feels like they internally are starting to feel the AGI, but at the same time have a very unique strategy of not overreaching and it could really work out for them. So it's an exciting time and an exciting story to follow. Well,

The TDP and Ultra Realm. There he is. Let's hit the gong for you. We're going straight to the gong. Oh, man, I love that. I love that gong. Thank you, guys. Thank you so much. Thanks for having me. Reintroduce yourself. Tell us where you were and where are you now? Yeah, of course I'm.

In other news, Uber is now going back into Robo taxis. Uber commits 10 billion to robo taxis and strategy shift. Uber's committed more than $10 billion in buying thousands of autonomous vehicles and taking stakes in their developers breaking from the asset light gig economy business model. To avoid disruption from Robo Taxis, the ride hailing app has aggressively increased deal making over the last, last. Over the past year, announcing partnerships more than a dozen providers, including China's Baidu and US based Rivian as well. Here's the kicker. Yes. As well as plans to launch Robotaxi services in at least 15 cities in 2026. So they're going to be putting Rivians on the road autonomously. Or maybe they'll do a deal with one of the other Robo taxi providers. Rivian seems like, I mean, great cars, really beloved. Everybody says, like the autopilot in Rivian is, is great. Yeah, but so it's also great in Tesla and we don't see robotaxi scaling, truly scaling yet. I don't know anyone that's ridden in a robotaxi, but things are moving quickly and, you know, but it is 2026 right now, so that is a very aggressive timeline to actually launch Robotaxi services. But maybe that means more of like partnership with existing Robotaxi providers. We'll have to dig into it and we'll talk more. Market likes it. Stock is up 6.8% today. Yeah, I mean, the stock has been trading down as Waymo and Tesla expanded services. It sold off, Uber sold off. And When Waymo raised $16 billion, Uber sold off again. And when Zoox planned major expansion, the company Uber sold off as well. The Stock is down 23% in the past six months and investors are starting to get concerned about autonomous vehicles. So Uber is responding well without.

From Wolf of Wall Street. The name of the company, Newbird AI. It's a cutting edge AI native cloud infrastructure firm out of. Well, they used to be out of San Francisco making sneakers. But forget that, John. They are now awaiting imminent deployment of next generation GPU compute clusters that have both massive enterprise and consumer applications. Now, right now, John, the stock trades on the NASDAQ at about the price of a cup of coffee. And by the way, John, our analysts indicate it could go a heck of a lot higher than that. And John, one more thing. They're up just 160% today. Yeah. What a wild. What a. What a wild time. Well, stay safe out there. Do your own research and.