Intel Chips and Weather AI

Anthropic is filing confidentially for an IPO at a nine hundred sixty five billion dollars valuation, which is the same valuation of their last round of funding. So what is the top those investors get? That's a great question. Also, Microsoft is unveiling something called MAI thinking one. This is the very first reasoning model Microsoft has unveiled without having to rely on open AI or anthropic or another player. Nvidia has just unveiled what they're calling Cosmos three. This is their very own model for physical AI reasoning. And Intel's Crescent Island AI chip is going to ship this year. It is undercutting Nvidia on cost and cooling. So is Intel going to make a huge comeback and is NVIDIA going to suffer? Strava has just put their API behind a twelve dollar a month paywall. They're blaming zero code AI apps for this and we have some weather AI news. Winborn's Weather Mesh six is out forecasting the E CMWF. They have four hundred balloons that are feeding this model and it has some pretty incredible results. Anthropic has just filed confidentially for an IPO on june first. That is today a few hours ago before I record ed this. Also remember, this is just a few days after they closed their sixty five billion dollars series H, and that series H, if you do remember, valued the company at nine hundred sixty five billion dollars. So this makes them one of the most valuable private companies in the entire world. Now, what's interesting is that they have an absolute battle royale going on between OpenEI and SpaceX because Open Eye is valued at eight hundred fifty two billion dollars according to their last round of funding. So now they have surpassed that. They're over one hundred billion dollars more valuable than open AI , but SpaceX is looking for two trillion dollars in valuation, apparently. So Anthropics revenue is, I mean, if I'm being honest, it's really exploding. I think they hit a forty seven billion dollars run rate. That's up from nine billion dollars at the end of last year, twenty twenty five. So we're not even halfway through the year yet, and they're already going from nine billion dollars to forty seven billion. That is a massive jump. This filing that they just have done essentially allows them to refine all of their risk factors and all of their financials privately before they publicly disclose this to everyone. This is a very standard move for these mega cap IPO candidates. The company's Mythos model, which they previewed in April of this year is still under restricted access. There's thousands of high severity software bugs, and the EU cyberc Sureity Agency access is planned for this as well. If you use AI or interested in using AI to grow and scale your business, something that I do every single week, I have a school community. It's called AI Hustle and every week my friend Jamie and I break down all of the AI tools that we're using inside of our businesses, all of the strategies we're employing, how much revenue we make from different objectives. And we post it all there and it's exclusively over on our school community. It's nineteen dollars a month and we basically help people grow and scale their business and grow and scale their career using AI tools. This week we recorded an entire episode where we break down Jamie, my friend, how he got access to chat GPT ads, what it looks like inside of the platform. It's like a YouTube video kind of tutorial so you can see everything going on, what his return on his ad spend was, how much it costs per click, what he's advertising, how the target ing works, which is really fascinating. So if you're interested in how the new ads inside of Chat GPT work, how much they cost and you want to see an inside scoop on that, go check out the link in the description to the AI Hussel School Community. It's nineteen dollars a month to get access to it. And if we raise the price in the future, it will never be raised on you. So I would love for you to join the community. We have over three hundred members. It is a ton of fun. People share what they're working on or a great community. So if you're growing in scale in your business, if you're vibe coding tool s, we'd love to have you in the community. Again, there's a link in the description. So SpaceX is also, like I mentioned, planning to file their own IPO on june twelfth. Some people are saying this is to steal the Thunder from Anthropic. I know they've been working towards this and maybe they're worried that Anthropic going first would steal their thunder. But for the june twelfth IPO, SpaceX is looking to get two trillion dollars. They're trying to raise seventy five billion or more . But what's interesting is we also have Anthropic paying them over fifteen billion dollars annually for data center capacity. So this is a very interesting competitor customer kind of arrangement that we have going on. Anthropic has blasted past open eye on paper so far, but maybe OpenAI will be able to raise more money or increase their valuation by the time that they're actually trying to come to their IPO. Microsoft has just unveiled MAI Thinking One. This is the very first reasoning mod el and it's also kind of the co pilot super app that they're building right now. It's the first time that they built something without relying on another company's AI output. So they had a big like a big announcement at Build, which is in San Francisco, the Build Conference. And right now, I think they're just basically trying to show everyone that look, we are not going to be dependent on open AI for the enterprise. We can build our own fully proprietary reasoning systems . They say that they did not use model distillation for this. So they like, I think even XAI admitted that they had used some of OpenAI's outputs to train their model with model distillation. This was kind of a trend that I think a lot of Chinese firms showed the strategy for if you use model distillation, you could get your AI models to learn much quicker and cheaper. Opening or Microsoft said that they did not do that. They built this from scratch, they weren't copying anyone else's outputs. They are also launching a Windows eleven developer mode with pre installed tools and a distraction free environment, plus a bunch of image models that the MAIMIGE two point five and MAIME two point five flash. So a bunch of exciting AI stuff coming out of Microsoft, I hope to see them as a bigger individual player. It would be great to have another competitor in the space. Nvidia has just unveiled Cosmos three . This is a brand new model. It's a foundational model and it basically lets robot s reason about their actions before they execute them in any predictable real world environments. This right now I think is putting NVIDIA against a bunch of other competitors that are doing similar kinds of things on exactly Google Deep Mind, physical intelligence, all of these are in a race to basically build this general purpose embodied AI , really something that can move robotics beyond just demos and actually doing reliable autonomous operations. I think everybody knows that this AI, chat, GPT, clawed, whatever, this is all incredible technology, but the next step is robotics. So Cosmos three works by basically having robots mentally simulate outcomes against a learned world model. And then they select the highest probable action. They can then predict and act, they have that kind of capability. And this, I think, is what separates them from a lot of the household robots and kind of warehouse robot s that you see around. This is really interesting, right? Like these robots are sitting there, they have these real world models in their brain and they're like, if I take one step, this is the likely predicted outcome. If I take one step to the left, this is the likely predicted outcome or seven likely predicted outcomes. So it can choose an objective and then it can, you know, predict all the outcomes of all the ways to get to that objective and then pick the best one. This is really crazy. I'm sure in some way our brains are also kind of doing that, but we just do it so instantaneously we don't think about it. So it's really cool that we're starting to see some of that tech now move into robots. The model was presented at the International Conference on Robotics and Automation. This is basically Robotics' biggest larg, est kind of annual gathering. They're bundling Cosmos three alongside their Isaac and Omniverse tooling. These are kind of synthetic data pipelines . You know, this is going to make they're kind of focusing on chip stales and their integrated stack. There's a bunch of competitors like physical intelligence and skid AI that don't have all of that . So this is a big advantage that NVIDIA has. The next thing I'm excited about is Intel because they're going to, I think Intel it's a great American company. I have friends that have worked there for years . You know, for the last twenty years, it's been interesting hearing stories from them on how the company has evolved. But one thing I will say if you look at the stock price, if you look at kind of where intel was ten years ago till today, it feels like Intel has had a bit of a bad down ward trajectory. So I'm really excited when I see Intel on the way up doing some exciting stuff. They have announced that they're going to ship their Crescent Island AI chip. There's going to be limited qualities of it, but they're going to be shipping it by the end of the year. And the big thing that they're selling is that it's undercutting NVIDIA and AMD by using cheaper LPD R five memory and air cooling. So they're doing that instead of some of the more expensive HBM and kind of liquid cooling systems . This right now, I mean, they're directly targeting inference workloads. So wherever wherever like memory , bandwidth demands, all of that are looser, it's going to let Intel chase more of a price sensitive market segment that NVIDIA's dominant kind of training focused chips aren't going after because Nvidia, let's face it , it's very, very expensive. So what's interesting here is the Crescent Island. It took about eighteen months for them to develop it and it's going to be manufactured in Intel's own fabs. I think a lot of people are excited about the new direction of Intel. If you look at just their share price, they've surged more than two hundred percent this year alone. They have a new CEO Lip Boutan who replaced Pat Geslinger last year and is aggressively rebuilding their AI silicone road map, so I think that's a massive reason why the chips might actually qualify to be sold in China under the U. S. export controls. That is a really big revenue door. It's largely close to NVIDIA and AMD because of a lot of the trade tension with Beij ing. So this could be another reason why Intel could be making a lot more money. All right, we got to talk about Strava because they have just put their API behind a eleven dollar ninety nine cent paywall. They're blaming zero cod e AI apps for this. This just started in June. They're ending their free tier that they used to have. Basically they're blaming a four hundred forty eight percent spike in developer applications year to date. They say this is all driven by zero code AI app builders that strain their infrastructure without contributing to its cost. That is crazy. When you think of all the software and all the tools out there, all of these APIs that people are able to use , if you're giving away a free API to your data or to your tooling and you're not getting any revenue out of it, it's really hard to maintain. Those could be incredibly expensive. So honestly, this is not a shocker to me. I know for my own startup, AI box, we have an API so people can, you know, we get we have access to over eighty different AI models. You can take our API, plug that into other tools to access what we have. But you have to have an AI box account and you have a have to subscription because when you're using the API, you know, you're using tokens to use AI tools. So we make money when people use our API , the companies that they're, you know, the end AI platforms and tools that they're using also make money and that kind of makes a lot of sense to me. But if Strava was giving this way for free a zero cost, yes, I can imagine how I would be very abused and I'm not shocked twelve dollars a month isn't that crazy or twelve dollars isn't that crazy. So the wearable and device integrations from Garmin, Apple Watch, and Wahoo are still going to be free. Only third party app builders are going to have to pay that monthly fee. Struv also simultaneously launched a direct integration with Anthropics Cloud. So basically you can create pipelines and you can see all of your workout data, your heart rate, your GPS, all of that can get plugged into your AI assistant. You don't have to pay for that. So individual users, if you're just like, Hey, Claude, like how, fast was I running? What are, you know, what's my heart, what was my heart rate this morning? That kind of stuff. It will still do for free. But if you're trying to build an actual app and have that data integrated, you got to pay for it. I think it's very similar to what's going on with Reddit in twenty twenty three. They made an API paywall which ended their third party clients. A lot of platforms are saying, look, there's so many AI scrapers out there. They're all extracting a lot of value, a lot of data from our platforms. They're not paying us anything. This makes a lot of sense. I think Twitter did the same thing when Elon bought it. So I'm not shocked that Strava is doing this if I'm being honest. Okay, we have to talk about AI and the weather because there was a really interesting report that said windborn systems they re,leased something called Weather Mesh six. This is an AI weather model and it claims to beat the European Center for Medium Range Weather Forecast. This is like the gold standard right. It's basically the best in the world. So it's better at surface temperatures and a bunch of other variables , but this new Stanford startup said that they're able to beat it with their AI model and their kind of secret sauce. Their secret edge is that they have four hundred balloons that are feeding raw sensor data directly to their transformer model. It's then bypassing the government data pipelines and all other AI forecasters have to use. So I mean, they just basically put up their own four hundred balloons and they don't have to use any of that government data stuff, which is crazy . They have six updates every hour at three kilometer resolution across Europe and continental United States. That is compared to the six hour updates from traditional kind of physics based system s. Windborn's balloons, they operate from fifteen global launch sites and they supply proprietary atmospheric data that major labs. So we're talking Google Deepmind and a bunch of other people , they cannot get access to this. Only they can. So they have this kind of proprietary data because again, they're putting up the physical balloons . They actually raised twenty five million dollars in eighty five million dollars valuation back in twenty twenty four and their customers are Noah NOAA, the US Air Force, US Navy, and a bunch of commodity traders, which I think is a hilarious customer, right? They're trying to get like forecast to see like is the weather going to destroy the wheat yields