Gpt5pro. Okay. Okay. It reasoned for 47 seconds. Okay. And it. This is. This is pro. You didn't do deep research though. I want to see you turn on deep research and do it. Well, this is the pro, which is research grade intelligence. No, no, no. That's not the deep research I'm thinking. No, no, no, no. You need to click on the little plus button next to the chat box and then check the box on. On Deep research. Do they still have this? I don't know. They might have deprecated this. I think it's still there. It's still there. It's still there. Okay, I'm doing a deep. You're doing deep research. No, no, this is good. This is good. Really verify. Just to confirm, are you asking for the current capital of California or are you interested in historical capitals as well? Let's see Current capital. Tell it to also design a website in figma. Think bigger, build faster. Figma helps design and development teams build great, great products together. Get started for free. While we're waiting for that, let's keep reading from the journal. Each gigawatt of capacity is expected to cost roughly 50 billion. Tyler. 50 billion per gigawatt. That's the number in the journal. Meaning the company is laying the groundwork for at least 1 trillion in infrastructure spending. Demand is likely to reach closer to 100 gigawatts, one company executive said, which. Would be 5 trillion, which is roughly the GDP of Germany or Japan. Yeah. GDP of Japan is 4 trillion. Germany is 4.6. Good luck. Good luck. Germany and Japan. You're getting left behind. You're part of the permanent underclass now. It's over for you. I feel bad for lighting the GPUs on fire for this. It says. Got it. I'll confirm the current capital of California for you and get back shortly. And it's. It's cooking. This is the real pitch for the. I'm getting my money's worth. Brandon Jacoby in the chest is breaking. Jordy discovers the UX issues of every foundation model company. Fix it, Brandon. Yeah, yeah. Aren't you doing consulting now? Brandon, you gotta get in the trenches. Yeah. All these folks. If the labs haven't hit you up yet. If someone who spends 10 hours a day studying this, it's reading Wikipedia. Just like, how many drops of water did this use? How many fish had to go find. Some other holes, it should come back. And it's like thought for 15 minutes, made two species extinct. Lit 7 gallons of diesel on fire. Okay, it's checking all the sources. It's good. I like a detailed report. I like to know that the AI did its job. Don't just sit there, clanker and riff off cache based retrieval. I want the deep research every single time. Even for one word fact. Even for one word fact. I want you to be sure. I don't want any hallucinations. Well, I mean this is, this is a tough question to A lot of people that aren't from the west coast or the United States would say, yeah, what's the capital of California? Yeah. San Francisco. I was using this as an example about. I remember being. I must have been like 7 years old asking, like figuring out that Sacramento was the capital of California. And I thought that was the funniest thing ever. Yeah, it is. It is hilarious. All right, I got it. It thought for 101 seconds. That's not that long for deep research. It went for four sources. It did 19 searches. So this, this is why, this is why I can't trust. You know, everybody keeps screenshotting these Google trend reports. Yeah, I'm not sure that Google has figured out how to exclude, exclude agents because they, this just did 19 searches for a single fact. Yeah. And so if you're looking at the growth of queries on Google, you would think, and if a lot of people are asking this kind of question, every single keyword is going to be spiking. Well, if you want to get your brand mentioned in ChatGPT, you got to go to profound. That's right. Reach millions of consumers who are using AI to discover new products and brands. Get a demo. I don't think we've figured out the final form of what financing for COMPUTE looks like, said Sam Altman. But I assume like in many other technological revolutions, figuring out the right answer to that will unlock a huge amount of value delivered to society and delivered. To OpenAI shareholders for sure. Yeah. It is an interesting question because Dario was talking about how each training run looks great by itself, but when you put them all in one structure, it looks like you just have this never ending money pit. Because you spent $100 million on a training run, you made a billion over the next two years, you spent a billion on a training run, you made 10 billion over the next two years, you spent 100 billion on a training run, you make a trillion over the next year. And there's a question of, okay, how long until it just completely maxes out? Are there diminishing returns to these things? But even if the trends hold, you still wind up with this, like ever Growing money pit that should act as like some sort of slowing down force. You would I think when you, when you dig into this quote, I don't think we figured out the final form of what financing for compute looks like. The question is like will this actually be a novel financial instrument or it will be remixing something that Wall street has used in mortgages. Maybe it's debt, maybe it's that. Who knows. GPU backed securities. The Tuesday announcement made it clear that SoftBank, once seen as a formidable OpenAI funding partner has scaled back its ambitions. In the data center build which the Wall Street Journal reported in July, three new sites, one located near Abilene, another north of El Paso in New Mexico and a yet to be announced Midwest location combined with an expansion to the Abilene complex will be capable of delivering 5.5 gigawatts of capacity. Those will be built by Oracle. The other two smaller sites, one in Lordstown, Ohio and the other near Austin, Texas will be built in partnership with SoftBank and generate 1.5 gigawatts of over the next 18 months. The first completed data center called Building One painted a pristine white that contrasts with the reddish dirt surrounding the site is larger than two Walmart supercenters. Doesn't feel that big to me but certainly huge. Entering yeah the 1100. They said 1100 acres earlier in the article. That's under 2 square miles. It is. Yeah it is. How compressed. This is huge when you're walking around but you know we're not in okay we're we're losing Yosemite over this. Yeah yeah we're not in the you. Know in the full tarot forming I mean Elias Sutzkever told the what it was the San Francisco Chronicle that we could, he could imagine a future where the entire earth is covered with solar panels if the trends continue. Gabe, Gabe in the chat says shout out to Lordstown Ohio factory used to build Chevys. Yeah. Your thesis or take re industrialization is happening. It is. It's a lot less jobs and it's data centers. Yep. But the white pill there might be that if we can build big data centers really quickly in you know at the scale that traditional infrastructure projects would have taken 10 plus years. If we can do that in a few years it could create a precedent where somebody could decide you know what I'm going to build this, this new rail line in two years. Is a Walmart super center really one mile long QSBS rollover saying that that the, that the building's two miles long? Well no I was saying. I was saying the site is. Is 1100 acres. It's not. Which is like 1.1.7 huge square miles, so obviously massive. But I don't think the building itself is anywhere near that. Well, fiber lines snake across the data centers and under.