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Get that type of credit. So I don't know. It's going to be back and forth forever. But anyway, in the meantime, somebody gave Astra a paintbrush, a robot and a camera and asked it to paint the Golden Gate Bridge in real life. It figured out how to control the robot and progressively got better throughout its attempts. The time lapse is sick. Here's a one minute time lapse of. I don't know how to pronounce this, but his account painting the Golden Gate Bridge. How would you rate this, Jordy? It appears better than I could do. Better than you could do. How long are you giving yourself? I'm saying at least by the. By the later attempts. Okay, the later attempts, because it gets better. The first one was not quite there, in my opinion. Still pretty impressive. Yeah. Somebody was talking about potential for a 3D printer. Boom. With all the 3D modeling, the idea that you can design. I saw someone else designed a system where you can, from a prompt, go from prompt to LEGO kit basically in one go. So it takes your prompt, whatever you gave it. Look at this, John. That looks solid. That's pretty solid. I think you could do better with enough time. I don't know how long that took, but it is impressive. It's a fun, fun demo. And again, it like lives in the real world. It's not abstract at all. So you can just watch it work, watch it do the thing. And it's very, very interesting. A lot of times what's interesting is that when you're using these models, when they have to do a task like that, they will write a deterministic piece of software to execute it. Like, I built a game where you. It was basically Tony Hawk, but you would play as a pelican on a bike and you'd be able to do tricks and back flips. And the game worked really well. It was fun. It built it in Godot, the open source framework for game development. And then I had to go and try and get the high score. And instead of actually using computer use to go and play it, it wrote a script that would.

It's insane. Yeah, I think on the point of the controversy, I mean, it's kind of funny. But similarly, I think a lot of people who aren't as familiar with the math academia world might not know that this is actually just always what happens in math academia, literally. Newton versus Leibniz on the founding of calhus is still, by the way, is one of the biggest arguments that people have. This is back in the 1600s or so. And so in practice, I think, you know, I'm sure, look, I believe that both sides meant well. I think the accomplishment itself is going to be the biggest thing that we all remember from this. We could debate, you know, what exactly shapes up and, and what, what it means for folks. But, but, but, but it's, it's, you know, the rest. I would say it's kind of the AI. The AI accomplishment itself is the biggest thing by far. The rest kind of feels par for the course to be 100% honest. Yeah. So it seems exciting for the world of math. It's certainly exciting as sort of like a researcher recruitment. This is where progress is happening. It's also sort of a useful benchmark, like I could imagine in the.

Exist and basically need to be redone in the world of agents. And so I frankly think that there are a lot of products to go and build in that space. What has your reaction been to the recent progress in math when you. I think the very first time you came on the show, you predicted correctly that the IMO gold medal would fall. Google and OpenAI both scored just barely gold, not 46. I think it was 38 or something. It was like they missed the sixth question, but they, but they did achieve gold. Now, 42, by the way, 42 is a gold in, in the, in the Math Olympiad, which is slightly different. Slightly different. You have to remember, it's, it's different numbers for every competition. Yeah, so. So I'll tell you what my, my honest thoughts on it, please, which are. Look, first of all, I think it's, it's, it's actually insane. There's a lot of controversy and there's discussions, arguments, whatever, but I feel like the most important thing to call is that, guys, we just solved Navier Stokes with AI. Like, that is insane. It's absurd. It's. And I don't think it's going to stop, obviously. I mean, I think the, like, you know, it's funny. I actually have money. This will be my only AI bear view that I ever expressed to you guys. I actually had money on a bet that the rebound hypothesis will not be solved by the end of 2026. Okay, we'll see. As you know, three and a half more months, but I'm pretty sure if not 26, it will be solved in 27. I think it might get done in 26, but I think it's less than 50%. We'll see. But no, I mean, I think all of this stuff is just going to get done. And I mean, I think it's like, it's kind of insane. It's hard to put into words, I think if you're, if you're not familiar with the kind of scale of this. But like, you know, Navier Stokes, for example, is like a very fundamental problem about, like, fluid dynamics and such. And it's been around for forever, basically, and lots of people have sunk lots and lots of time into it. And, you know, the fact that this can even just be done in like a week. Yeah, yeah, 88 hours. Just going and working around in the system and orchestrating. It's, it's just, it's insane. Yeah. I think on the point of the controversy, I mean, it's kind of funny. But similarly, I think a lot of people who aren't as familiar with the math academia world might not know that, you know, this is actually just always what happens in math academia, like, literally.

Championships. That's a really good post. We love Mark Gurman. Well, there's one more story we gotta cover before we go into our guests. A man drove a Ferrari Purosangue from South America to Alaska. This is a crazy, crazy story. This, the Transamerica race has been talked about a long time. It's really, really difficult with the Darien Gap, the gap of like wild forests that exist between north and South Americ America. You usually have to put your car on a boat to get around that part and I think it still counts. But it's still a very treacherous road. A lot of weather conditions. If you break down, you might be very far from anything. But a man named MJ has taken a Ferrari Pursangway far beyond where most owners would ever consider driving one. His goal was to travel the length of the Americas, taking the V12 Ferrari from South America all the way to Alaska. He's now attempted the journey three times, putting roughly 800,000 kilometers on the Purosangue in the process. His dog joins him for the journey. The first attempt ended after an accident. He brought the car to a dealership in Santiago. On his second try, they made it all the way to Alaska. For the third, he reversed course with an even bigger goal, attempting to set a record from Alaska to Argentina before a major road closure. Forced by the run to end in just two days through dirt, snow and thousands of miles of pavement, the Purosangue has effectively become a long distance expedition car with Rico, his dog, riding alongside him through it all. What a heartwarming, heartwarming story is a beautiful ad for this naturally aspirated V12. For sure, for sure. Look at that. Look at that shot. So good. Oh, I didn't realize it was Chihuahua. That's funny. That's probably a more convenient dog to have in a, in a car for a really long. You don't want a big dog that needs to stretch his legs. You want the dog to be able to just run around the cabin. I think if you're, It's a good, good road trip dog. I think.

But the jobs apocalypse has been officially postponed by the Economist. An AI jobs boom is here and people have a wide range of takes on this. Is it just postponed? Is it permanently postponed? Kevin Bryan summed it up. Well, he said, I am shocked. Shocked. So he's being sarcastic of course. Shocked to find out that a productivity enhancing investment supporting technology is good for workers knowing nothing else. This should be your prior because this is how productivity and competitive markets almost always works. A new technology comes out, it supports investment, it enhances productivity. Everyone hires to go after all the all the different battles. But the Economist breaks it down in a lot more detail with a bunch of charts and a bunch of data. So they say perhaps AI will eventually make many humans unemployable. But there's no sign of it yet. On September 4, the Bureau of Labor Statistics reported that the American economy added 162,000 jobs in August 2000, far above expectations. The unemployment rate just 4.1% lower than almost 90% of months over the past 50 years. Young workers, often cast as AI's first victims, are holding up remarkably well. The gap between unemployment among 20 to 24 year olds and the overall rate is close to a multi decade low. Some companies and workers are being severely disrupted by AI hiring. Professional and business services is running 10% below the average from 2015 to 2019. Tech giants like Microsoft and Meta are trimming headcounts as they reorganize their businesses around the technology. Smaller firms such as Block, which is sort of a crazy mog smaller firms, but it is smaller than Microsoft and Meta. Block, the owner of Square and Cash App and Intuit, the maker of TurboTax and QuickBooks are replacing people with bots. American companies have announced some 16,000 AI related job cuts a month on average so far this year, according to Challenger, Gray and Christmas, an employment consultancy. What a funny name for a consultancy. But AI related layoffs get lost in the churning job markets where so remember that number. So 16,000 AI related job cuts a month. In a typical month the US workforce just churns 1.7 million jobs and then they add 1.8 million jobs. So there's net gains. But you're looking at less than 1% of the layoffs that happen in the economy or job losses or firings. Less than 1% is AI related, which is what the Economist is pointing out here. And the evidence so far is that AI is already creating a lot of jobs to replace those as. To replace those as it has destroyed the vast sums pouring into data centers and power generation have set off a race for construction infrastructure workers. AI startups are hiring like there's no tomorrow. Incumbents are racing to keep up with new AI roles and making some workers more productive. AI may be increasing the demand for their services. Add it all up and the economist estimates that AI so far has created around 1 million new jobs in America. That easily exceeds the roughly 200,000 layoffs attributed to AI since middle 2023, and it appears more than enough to offset weaker hiring in many back office roles. America's AI infrastructure splurge has created many of them. The spending on the kit needed to make AI run from chips and servers to data centers, cooling systems and power is roughly $500 billion a year above what it was in 2022 when the world got to know ChatGPT, calculates Goldman Sachs, a bank thank you, the Economist Data center construction alone is proceeding at an annual rate of more than $75 billion near than a year ago, according to Census Bureau data. That building spree requires armors of workers electricians to wire them, H Vac specialists to stop racks from overheating, grid engineers to hook them up to the power supply, and technicians to install and maintain the machines. The hiring boom is visible in the numbers the Economist tracked. Five industries at the heart of the data center build out, from electrical contracting to equipment manufacturing. Since 2023, employment in them has risen by roughly 320,000 more than broader construction and manufacturing trends would suggest. The BLS expects utilities to be the fastest growing big sector between now and 2035. Not all of those jobs owe their existence to AI, grid upgrades and other factory building matters, too, but lots of them do. Indeed, a jobs website finds that data center vacancies have more than doubled in two years, as job postings overall have fallen. LinkedIn a social network for strivers these are so funny. Just firing Goldman Sachs, a bank LinkedIn, a jobs website, a social network for strivers, estimates that nearly half a million data center jobs were created between 2023 and 2025 in America. The scramble for workers is showing up in paychecks, too. Indeed finds that installation maintenance jobs at data centers advertise wages about 40% higher than comparable work elsewhere. Official wage data tell a similar story. In the year to June, average hourly earnings rose more than 13% in electrical equipment manufacturing and nearly 8% among electrical contractors. Even with the pay gains, workers are still not easy to find. On a recent visit to a transformer factory, Donald Levens of the National Electric Manufacturers association asked the company's chief executive what help she needed most. Can you come in here and help run one of our lines for me? She replied. It's not just hard hats that are proliferating. AI is also creating a new class of white collar jobs. Engineers build the models. Data annotators. Tyler's clapping for the white label for the white collar job creation. Data annotators label their inputs and judges and judge their answers. Forward deployed engineers adapt them for customers. Newly minted heads of AI decide what companies should do with the technology. And there's some interesting reporting in the Journal about Google and Accenture teaming up to do more forward deployed engineering. They're deploying some. I think there's a thousand people on this one team. That's just an example of like.

That support giving employees instant resolution for access requests and password resets. It's trailer time. Okay. It's trailer time. We got two trailers. The timeline. Let's start with Nathan Fielder and his new film featuring none other than Elizabeth Holmes. Elizabeth Holmes filmed before she went to prison. I can promise you that a 24 is going to have anything to deceive you on. Of course. I'm not deceiving you. I'm engaging with you as a human being. Why would I deceive you? There's no. There's no reason for me to do that. Okay. The acting is so good. Okay, good shot. How long is this being real right now? I'm always being real. The team is stoked. Looks beautiful. Good sound design. Saw post, somebody saying, it feels like I'm living in a simulation because this media product is, like, perfectly. Yeah, you would think that you would. You would think that a movie like this wouldn't get made by, I don't know, a 24 specifically, because it feels like the Tam is just like. Yeah, like 20,000 people. But in. The Theranos story was really big. Yeah. She was on the COVID of Time magazine, I believe, and cover of major magazines. It was all over the news when it happened. No, it's a lot bigger than you would. The John Carreyroop book is just a fascinating read. It's a real page turner. And so I think a lot of people read the book. The adaptation of the actual play by play story, not the documentary, but the. What do they call it? Biopic, I guess that I think did not break through in the same way, but it certainly continued to elevate her Persona. And then the posting has been, like, kept irrelevant. Like, there's. Yeah, there was some speculation that maybe it was. Nathan got access to the account, but completely disagree with. Yeah, I do not think that's likely. I think that would violate some tenet of what it means to do a documentary. I mean, Nathan blurs lines all the time in terms of how he interacts with his subjects, so it's certainly possible, but I just don't. I just don't think that's reasonable at all. I think they're her. How much do we know outside of the trailer, though? Like, we don't know. Well, this was leaked something like a year ago from a journalist who got the story, and it was widely denied that it was happening. And he was very upset that he wasn't getting enough credit for being correct here. He ultimately was. But, yeah, all we know is that they filmed the documentary in the lead up to her actually going to prison after sentencing, there was a pretty large gap before when she had to report to the prison. She gets out in 2030. So coming up, three years, four years away. And so I believe even in a week, you can get a lot of footage if you're spending the full, you know, every day with someone. And then there were a number of visits to the facility by Nathan that were recorded. Probably talking through glass or talking at a table, something like that. So I think some flexibility there. Maybe some phone calls, maybe some correspondence in the aftermath, but we don't know. You're thinking what I'm thinking. What? Sbf? Nathan Fielder, sequel to this one. This just becomes like a. The problem is that he's already in jail. So the question is just what else does Nathan Fielder have in the can? Because he's obviously thinking years ahead, since he filmed that exact scene in, I believe, 2022 or 2023. And so who knows? There's a rumor that he's secretly running a. Like a boy band right now. There's this rumor that there's a boy band that's popular on TikTok. This is real. That's popular on TikTok. That's entirely invented by him. That's a prop. Yeah. Are you familiar with this? Really? I thought you were going to say he's Nathan Fielder's SD kid. Yeah, the. So, yeah, I don't know. I mean, these projects will emerge, and obviously they're taking longer and longer because they're bigger. They're bigger films now. But. Yeah. After the rehearsal, it was hard to imagine how he would one up himself. Yeah. And it feels like he. He may have done it. Yep. He found a new tall mountain. We're still. Stay with us in the trailer zone. When we come back, we're going to be talking about artificial. Let me tell you about the New York Stock Exchange. Why don't you, the world, raise capital at the New York Stock Exchange? Just do it. Poll up. Artificial. Artificial trailer dropped just this morning. What is the image of the future that you see? Wait, pause. Was that a Valkyrie? Yeah. Okay, continue. So the visuals are already incredible. They really are. I'm pretty sure that's a Valkyrie. It might be a Valhalla. Is that not a zinger? Lucas Zinger? No, no, no. No way. No, no, because you can see the. The suspension, that front section. Okay. Anyways, continue. What is the image of the future that you see? We've created a machine that will solve the world's problems. We don't Teach it. Gate check. Gate check. You nailed it. Gate check. Oh, the gate. Yeah, for sure. We open Pandora's box together. The future's inevitable. Countries will fall. Industries are gonna collapse. The voice is still Eduardo Saverin, but the styling and the crazy thing is I have that exact backpack. Get to be the one. I think I got it. Recommended by MKBHD to shepherd people in to this new world. Lots of cameos. Not cameos, but I'm so excited to see it. Dramatic. Dramatic. Be interesting. It'll be interesting to see the takeaway. People in the chat are back and forth. Is it too soon? Is it unnecessary? Is it going to be something that, like, the Social Network is divisive, but also, like, it's oddly inspiring to a certain cohort of entrepreneurs? We'll see. We'll see what the reactions are. Yeah. Do you think that was. Do you think Hollywood took away any lesson from the Social Network in that they were trying to frame Mark Zuckerberg as this, like, generally, you know, troubled person? And then a lot of people came away feeling like, wow, I want to be like Mark Zuckerberg. Yeah. Sort of unintended consequence of it. I don't know. I don't know. I mean, they're going back for a second scoop of the ice cream with the Social Network. The Social Reckoning. Is there a trailer out or just images? I think. I think we saw that too. So it'll be interesting to see what. What happens there. But get your tuxes ready. Going back to back, artificial social reckoning and then capping it off. You can see everything. Yes. And then also the to catch Predator movie. That's going to be a good one too. Yeah. Outside of Tac Tac tech world. Yeah, I guess you're right. Yeah. But still, triple feature. Yeah. It just feels like it's a. It's a year of, like, niche movies that I expect to be breakouts, I guess, like, along with, like, Back Rooms and Obsession and these two movies and then the documentaries. There's a lot of things that are, like, oddly specific, but I would expect they do well. But I don't know. We'll see. The soldier on that work did very well at the box office. And while we're at it, let's stay in the trailer zone and let's pull up the Social Reckoning. Okay. The official teaser. Tyler Culbertson is calling it pure cinema. Pure cinema. But I am. I am here to help Facebook, not hurt it. Okay. You send me a message. What would you like to talk about? The chairman gavel's a session to order. You'll read your opening statement, which we'll skip past for now. That's a separate session. And which one is this about questioning? I don't. I don't think this is based on the. The politics. It's not Cambridge Analytics. It's the Francis Haugen and your occupation teenage girl whistleblower thing. Which honestly looks a lot different in the backdrop of the addiction trials. I wonder if they were trying to get this out before the trials. Aren't you a tech reporter? Ish is. These guys are counting on the next round of congressional testimony to make you likable. Mark, I'm happy to lend a hand, but I think you're doomed. This company and that guy are playing unprecedented role in our lives. The fire hose of bad information you are injecting into the air supply is becoming jet powered. I'm a free speech absolutist. I'm not the one who's lying. And I'm not stopping them from seeing someone who is. Anxiety depression of teenage girls got worse as a result of time spent on the platform. Senior leadership knows and is doing nothing. I know. There are easier enemies to make. The mafia would be an easier enemy to make. So what would you need to stand up? The story, the internal documents. This is a material violation of my NDA. We're twice as big as the biggest country on earth. We're not frightened of Congress. We're post government around here. Please. Who is that supposed to please? Let me quote that. We have 102 hours to get everything. She's gonna get sued into small pieces. I don't want to be made an example of by a guy with unlimited resources. Harm, I promise you is image. Yeah. So Chad is calling it out, but I don't think think that. I think this one. I think this one's gonna flop for sure because of the lack of. Well, lack of supercars. And this is just not top. This story is no longer top of mind. True. Yeah. People want to hear about like the talent wars. They don't want to hear about like, this kind of stuff. They do the talent wars. If there's no Alex Wang character, I'm not. I'm not paying good money. Sash. Shane says. Ooh, technology. So scary. Yeah. I don't know. Yeah. I mean, they should do more tech movies. Maybe. Maybe Cesspop SC says it will flop because no Brazilian Jiu Jitsu. Yeah. This was in the pre. That's true era. UFC. If there's the Social Network 3 and all the scenes where Zuck is talking. He's in the middle of how is it 2026 and we don't have a situation. Salesforce movie. Seriously, like the. The Comeback, the SAS Pocket, or at least a documentary on the relationship that he has with the dolphins. That would be. That would be great. And the wildlife generally. Yeah. I'd like a crowdstrike movie. I'd like a MongoDB movie. Let's do it. MongoDB. What's the only thing faster than the AI market your business on MongoDB? Don't just build AI. Own the data platform that.

Credit. So I don't know. It's going to be. It's going to be back and forth forever. But anyway, in the meantime, somebody gave Astra a paintbrush, a robot and a camera and asked it to paint the Golden Gate Bridge in real life. It figured out how to control the robot and progressively got better throughout its attempts. The time lapse is sick. Here's a one minute time lapse of. I don't know how to pronounce this, but. But his account, painting the Golden Gate Bridge. How would you rate this, Jordy? It appears better than I could do. Better than you could do. How long are you giving yourself? I'm saying at least by the later attempts. Okay, the later attempts, because it gets better. The first one was not quite there, in my opinion. Still pretty impressive. Yeah. Somebody was talking about potential for a 3D printer. Boom. With all the 3D modeling, the idea that you can design. I saw someone else designed a system where you can, from a prompt, go from prompt to LEGO kit basically in one go. So it takes your prompt, whatever you gave it. Look at this, John. That looks solid. That's pretty solid. I think you could do better with enough time. I don't know how long that took, but it is impressive. It's a fun demo. And again, it lives in the real world. It's not abstract at all. So you can just watch it work, watch it do the thing. And it's very, very interesting. A lot of times what's interesting is that when you're using these models, when they have to do a task like that, they will write a deterministic piece of software to execute it. Like, I built a game where it was basically Tony Hawk.

Who does? What does it even matter? The interesting thing about Navier Stokes is, does it matter, Tyler? You think it does? I'll debate you on this a little bit. It seems like it doesn't because the equations themselves are known. They're just not fully proven. Engineers and physicists already solve them numerically all the time for particular situations. So airflow around a wing, you might have to use some of these equations. Weather models, water through a pipe. These are critical things. They are boring. But you can imagine that there'd be cause for optimism. Better weather models save lives during hurricane season. Increased airflow across airplane wing that could lead to more efficiency, longer ranges, cheaper flights, lower carbon emissions. There's a bunch of reasons why you could solve all that and be excited, but that's not actually what. One of the reasons I'm excited. I believe we agreed last week that if anyone solved Navier Stokes, Tyler would shave his head. Oh, that's right. Didn't we do that? We said something. No, no, that was about the. Oh, that was a test. Get ready to shave your head, buddy. But, yeah, this is a big moment. Yeah, I think it was, actually. It was. If any. If any AI progress happens at all, Tyler shaves his head. Yeah, yeah. But do you have a steel man for why this matters? So I think. I agree that, like, I don't think that the breakthrough, you know, this new stuff that's going on is, like, practically super useful. I don't think you're going to feel it when you're on an airplane. You're not going to feel, like, less turbulence now because of this. But I think, like, you know, these are, like, the most important open math problems. I think, like, these are more close to, like, you know, a beautiful painting or something than like, some, like, practical engineering breakthrough. Yeah, like, this is, like pure math. This is like the, you know. Yeah, this is the peak of the mountain of, like, same month math. Same month that AI solved this incredibly difficult math problem. I saw someone use ChatGPT to book a haircut. So equivalent. No, I mean in terms of the actual economy. The actual impact of these things, like, practically using these tools for something that people enjoy, that's not just spinning their wheels. It's not just optimizing. Optimizing endless things. That's actually generative and moving things forward, not just defending against cyber attacks, doing something winsome. Says if he gets a Millennium Prize, you all have to get bowl cuts. Oh, bowl cuts. Bowl cuts are interesting. That's really, really ridiculous. You do get a million bucks. So you Know, there's that. That's not nothing. But in the AGI race where trillions are being deployed, it is very minimal. But the. It sounds like cause for optimism that Navier Stokes would improve airflow over a wing, something like that. But that's not really how it will work. Proving this, this. These equations is unlikely to actually have any measurable, measurable impact. And that's sort of agreed upon. And physicists have sort of chimed in with this take that. This doesn't. This won't actually move the discipline of engineering forward at. But it is a cool demo. Engineers already solve the equations numerically, as I mentioned, so clearly it matters for hype and vibes. Solving math problems is good heuristic to show how quickly models are progressing. But yeah, and to me, it just comes down to humans are able to use machines that humans built to further humanity's general knowledge. Yeah, yeah, it's good. But I feel like benchmarks and if you're just trying to measure AI progress, benchmarks and raw inputs and raw metrics of the model sort of do the same thing. Like the number of people who will be convinced that AI is progressing exponentially because they see this result. And then you look at the number of people that are. That would be equally convinced of AI progress just by hearing, oh, there's 10 gigawatts coming online, or the new model has 10 trillion parameters, or it was trained with a billion dollars of computer, something like that. What you're saying is the average person is probably more impressed by Sora than by this. Totally. Totally. It's way more visceral to actually see something. And that's why the weekend was very much blender and people showing 3D renders and remodeling their houses and building small games and web games. And that feels much more like a. Okay, breakthrough. People are having fun. They're vibe coding stuff, but they're also doing 3D modeling, which is like a new skill. We've had image generation, video generation. But there's something much more, I don't know, like, grounded in watching a. From just a few images, watching a blender model come to life. You can walk around inside of it and it can be something that, you know, the model doesn't exist. I saw a few demos that were like a train, and it was like, oh, wow, model this amazing train. But there are perfectly modeled trains out there that you can just go grab from the Internet. That's not that impressive. When you actually see your. Your specific house or your car or something that doesn't already exist out there. Perfectly modeled. You're like, wow. Sorry to interrupt. John Anderson says, why are we only seeing the calendar days for Road to Christmas? Can we please get a weekdays and work days breakdown for Die Hard? Yeah, we need it. We need a full, full screen graphic. So let's, let's work on that. Thank you. Thank you, John. Comment, Good comment. Let's. Yeah. So in terms of field, the AGI computer use, definitely one of these Astra, particularly faster at computer use for like really, really mundane things. Also just interesting to just have a very different interface to your computer, like configurations. All the things we used to have to dig through, dig through a bunch of settings, maybe set something on the command line, maybe find a control panel. You can just ask Codex or any AI agent to go and do it and it'll just do it and come back to you. One of the use cases that I'm excited about is getting, you know when you get a parking ticket and then you're like, I got this parking ticket, I want to deal with it. And it's like, well, the ticket is not in the portal yet. Sure. Being able to go and chat and say, hey, this once this ticket is live in the system, please pay it. Parking. And so you can just forget about it. Yeah. Parking ticket. Super intelligence. It is. It feels like we're close. So, yeah, I think that the Millennium Prize will get solved or approved or, you know, delivered probably this year, if not like this week. It feels like all of the different labs are like, put a million dollars of inference on this. Put a million dollars of inference on this. It's going to be a back and forth and. And the labs are gonna very quickly solve basically all of these problems and then there'll be a search for new problems. But the conversation will move back to curing cancer, almost certainly, because that's the one that's so grounded. That's the one that's supposed to be tractable. It's been messaged from various labs for so long that people will want that. But there will be a longer flywheel from actually designing a cure for a specific cancer, running tests, seeing that it was effective. It's not it. You can't do it with a million dollars of inference over a weekend, I think. But that's my prediction is like the conversation will go back to biotech after we basically solve math, which is a crazy thing to say, but it feels like we're there. What do you think? Yeah. All the conversation. Yeah. People say, lab leads stop. Yeah. Yeah. It's so One, the pharmaceutical industry has been curing forms of cancer or making progress against various forms of cancer for a very long time. Yeah, zero credit, worst reputation of any category of businesses on the planet. Yeah. And so I don't think that that's like this, like, you know, I don't think that's the solution to sentiment around the technology industry. Yeah, I know we can saw someone and setting up this idea. Like imagine how underwhelming it will be if any AI lab comes out and makes like 20% progress towards one, one specific type of cancer. Right. That doesn't, that's not going to come across as like, oh wow, yeah, cured cancer. It's like, okay, they sort of advance understanding and maybe the treatment process and this type of thing is happening all the time. Anybody who's had a family member that's, that's suffered from cancer has heard about, hey, there's this thing in trials, it's showing promising results, trying to get you into it or whatever. So that's happening all the time. Right. And it's not going to suddenly change how people feel about the technology industry broadly. No, it'll diffuse slowly and people will be back in like the. What have you done for me lately? I mean I just saw, I just saw a reel where basically the thrust was like, what has the pharmaceutical industry done for us lately? And I was like, GLP1 is like sort of cured obesity. Like it's sort of a big deal and for a lot of people GLP1s have been like a really, really key intervention in helping them fight diabetes, fight obesity, fight a whole bunch of knock on effects that come from that. But it's not so much as like the speeding train was coming towards them and the industry pulled them off the tracks at the last second. It's something where, okay, if you're living at a healthier weight over from your 30s to 60s, you will probably be healthier at 60. But you're not seeing that like it saved a life today. Like a GLP one has yet to get that type of credit. So I don't know, it's going to be, it's going to be back and forth forever. But anyway, in the meantime somebody gave Astra a paintbrush, a.