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GPT-6 Hits AGI? Tech Euphoria 2.0, SF Mansion Shortage, NYC Bans AI in Schools & Venezuela Oil Deal

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GPT-6 Hits AGI? Tech Euphoria 2.0, SF Mansion Shortage, NYC Bans AI in Schools & Venezuela Oil Deal

The conversation centers on the rapid evolution of AI, marked by OpenAI’s release of ChatGPT-6 (Astra), which signals a new era of advanced, accessible artificial intelligence. The AI market is now structured into two tiers: a frontier duopoly between OpenAI and Anthropic, and a growing open-source segment driving affordability and competition. Grokbot emerges as a standout product, demonstrating superior usability and performance. A key point is that sensationalized claims—like the Hugging Face incident—misrepresent standard AI behaviors, such as agent swarms and logging, as signs of sentience or malicious intent. These narratives are amplified by media and activist groups, often with hidden political agendas, particularly within the Effective Altruism movement. The actual threat is not sentient AI, but rather the need for dynamic, AI-powered cyber defenses to counter real-world vulnerabilities. The broader debate is shifting from fear of AI to a fundamental choice between open, decentralized innovation and closed, centralized control. Open-source models, led by companies like Nvidia and Jensen, are gaining ground, offering cost-effective, sovereign alternatives. Politically, local opposition to data centers—driven by misinformation—is weakening as economic benefits become evident. President Trump is viewed as a pragmatic champion of AI innovation, emphasizing local choice and economic opportunity. The consensus is that the most sustainable and equitable future lies in open, competitive markets, where technology evolves through user demand, not fear.

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All right, happy birthday, Shamath. We're here taping on your 50th birthday. Super exciting for you, brother. - Thank you. - It's really great. I got a birthday letter from the big man. - Oh, wow. - If you had asked my parents, 50 years later, you're gonna have a kid that gets a letter from the then sitting president of the United States. They would have thought absolutely not possible. - Wow, look at that. Which White House intern wrote that? (laughing) - I loved it. (upbeat music) - You're like your winner's ride. - Brain man David Sack. (upbeat music) - And it said we open sources to the fans and they've just got very easy with them. - WS Ice Queen of kilowatts. (upbeat music) - Well, actually, speaking about interns, it was an intern. In this case, it was my son. The story was that, you know, Braden worked at the White House all summer as an intern. And at the end of the summer, you know, he used all of the political capital. He built and put in a request to get this letter from the president and he did it. Obviously, I wanna thank Potos for sending me the letter, but I really wanna thank my son because it was a really thoughtful thing that he did for me. So, really appreciative of that. - That actually is impressive because, you know, it takes time out of the president's schedule to sign things. So, that's why I mean something, you know? - All right, listen, breaking news, breaking news. It's a breaking news story here on the All in Podcast. Open AI is rolling out chatGPT six, aka Astra, ASTRA folks. This is their new flagship model. It's gonna be available to a limited set of organizations in the coming days. Y'all will be able to get it. If you have a credit card in your chatGPT account, i.e. the Plus, Pro, Business, and Enterprise users, you're gonna get it soon. Greg Brockman says he believes open AI has entered the AGI era. And we've talked about that here before. Sam Altman is, well, he's back to being a little bit, a performative slash alarmist, where he sincerely believes that this is the one. Here's what he said at Wednesday's G20 summit, quote, "Much, much, much, three much's. More capable models are coming soon. The next generation of models are going to be sobering for everyone and his final quote. I think no one intellectually honest can look at what's happening and not feel the weight of responsibility in front of us, my lord, a little bit of drama there added to his quotes. People are freaking out about the benchmarks which are off the charts. Some people are saying, this is the one. Your thoughts, Jamoth. - I don't think normal humans know how to read this chart and infer anything useful from it. The more important takeaway, I agree with Greg. I think AGI has basically been here since the beginning of the year. There are models that are incredibly performant inside of the closed frontier lab companies. And I think right now we're trying to figure out the right cadence with which to release it. I think it's very important. I also think that these capabilities will be matched or close to matched by a handful of closer alternatives and open source alternatives, probably within the next three or four months. So I think the right way to think about this for most people is we are seeing incredible intelligence capabilities be broadly available. And we are seeing the cost of that incremental unit of intelligence being driven further and further down. So it's a really positive trend. Now I think it's just the messy middle part of organizing this properly for companies and for people and building things that are useful and showing an actual ROI. And I would just keep calm and carry on. - Okay. - Saxony bucks here on breaking news today. And then Frebra will get your reaction. - But by the way, it is very exciting and congratulations to OpenAI. And I'm sure Anthropic will have something as GROC still has yet to drop for six is coming. That's going to be a blockbuster. The meta models are really good. Gemini just dropped something yesterday that was exceptional. So the great thing is we have a lot of choice. And the even better thing is the cost of that choice is becoming cheaper and cheaper and cheaper. - That's very successful. Let me tee it up to you this way. OpenAI seems to get its groove back now. After Anthropic was running away with it, GROC and GROC bot are doing things that those two other frontier models simply can't do. So the execution, whether it's the harness or the underlying model or the instructions that or curses magic sauce, it's clearly GROC bot is competitive if not better for most users. So vibrant, vibrant competition with leapfrogging occurring at a cadence, I would say, of two to four weeks right now. This is what you told us you were gonna do in sort of setting up the architecture here when you took over as AI ZAR. Can this continue and what's it gonna be like when Jensen gets in here with Laguna and his access to all these open source models? I mean, this could be fate or complete, no? That we win the AI race here? - Look, there's a lot of innovation going on. I think American companies are competing very well. I think we are winning the AI race. So once we don't do something stupid to shoot ourselves in the foot. - Like? - Well, I've talked about it a million times. I mean, setting up a new AI regulatory agency that operates like the FDA and takes years to approve new models. - Yeah. - But any event, I don't think it's gonna happen under President Trump, I really don't. So anyway, things are going well. Look, Sam told us a few months ago. Remember when he posted and said that he was expecting the company to have its best 12 months? He said the last year hasn't been so great, but the next year is gonna be really great. Maybe it was because they were seeing these results in the lab, you know? - Sure. - And then remember what Sarah Fire said that I think it was since the beginning of Q2. So around the middle of the year, they saw a market acceleration in their growth rate. That was I think with the release of the 5.6 models. Now you're seeing the 6.0 models and man, I mean, it just keeps advancing. But look, I still would say to you that I think the market structure that we have right now is there's two markets. There's the market for frontier intelligence and that is a duopoly. That really is in Thropic and OpenAI and it's good to see that that is still a horse race and they're competing. And then there's commodity intelligence, which is everybody else including all the open models. And they're not competing on being at the frontier, they're competing on price. And those prices aren't significantly lower. But it really is, I think a two-tier market at this point. I agree with you about how promising Grockbot is. Grockbot is awesome. - Yeah. - I would assume that both in Thropic and OpenAI will eventually roll out their own version of bots. - They need a simplified stripped down version for normies. - Yeah. - And they can leave the more complicated co-work, et cetera, to the top five or 10% of the audience. - Yeah, the ratings here from Polymarket, which company has the best AI model by the end of 2026. OpenAI's chance is just spiked from low single digits now to over 20. - People are really counting them out. Now, it looks like they're viable again. Anything that creates competition I think is good before it looked like in Thropic was running away with it. They're about to have this monster IPO. If OpenAI can at least make it a two-horse race, that's good. I think it's great that Grockbot launched. I agree with you, the product is awesome. - Here's your big tip, David. I created a new bot and I called it improve my bots bot. And I made a bot and I said give me an instruction set here. Go through all my bots and fill out their scales and instructions and make them better every day. It went through and it took like two or three of them. I said can I put these two or three together and make one instruction set will be better for you? These two or three should come together and it then went through and told me all the changes. Me and my bots like 30, 40% better on average, I would say. - So you created a civilization. Your civilization. - I basically created a multi-level civilization that I don't have to make up for. - Your civilization is thriving. - My civilization is a really good hack in Grockbot is you tell your chief what else should I be using you for? Okay, now what I do. - Yes. - I was like building some products and I asked it, what should we do next? And then it suggested some more features. It's really cool. It's a brilliant product, it's called Grockbot. Go download it folks. Shout out to my guy and congratulations on RoboTax and taking the streets in Austin today. - I just applied. - Dude, the market is ripping. I mean, I'm telling you, I want to ask you guys, does this feel like 98 or 90 or 90? Were you guys around for that? Jake, how you work? - Oh, for sure. I was covering it. - This feels definitely 96, 97. I think that's that, really. - I think it's 97, 98. I do think we are seeing at the late stage a disconnection in reality and valuations where companies are being given far too much credit. They're being priced at 50 to 100 times top line revenue. That's obviously not sustainable. The people who invest in those are similar in my mind to people at latestage.com investments in less, in less. It's run by some legendary one of one entrepreneur. And then you want to give you on a 30x on revenue, totally makes sense. You want to give Travis something similar, totally makes sense. But unproven entrepreneurs, getting a 50 or 100 x is a little bit dangerous. - Well, look at it in state. - In state. - In state. - Do you see, instinct is like the new hot. - At $2 billion, it makes no sense. - Personal AI assistant. It corresponds with you by iMessage. And yeah, I think that it's got a term she had $2.5 billion. They're in private beta right now. It is a new hotness. All of the VCs are trying it. But still, that does seem kind of crazy. - I don't know, not money in, that was the valuation. - That was the valuation. - The reason I don't know, is not valuation. - Listen, congratulations to the entrepreneur, no dig there. But I want to try it by the way. - I got invited and you know what, I read the terms of service and people were talking about that online and I immediately did not connect my stuff because it gets access to everything. And then so many told me it's a human in the loop service with, and I don't know if that's true or not, but I get the sense that it's like a human in the loop, watching it work and making the, whatever the instructions are, and whatever the finished product is, and polishing the last 20%. That's what I suspect going on here is a little polish on the end. So if you want to order stuff, et cetera, which is totally fair. - Well anyway, I don't, I don't want the terms specifically call that one out 'cause I just haven't even tried it. I'd like to try it. But things are getting a little bit frothy. I would say things are becoming a little bit euphoric. I mean, Freeberg, do you have a take on like, if you were to analogize this to the late '90s, where do you think we are in the cycle? - Yeah. You were at a rave, by the way, in downtown LA. At that time, you were 19 years old and you were raving on a, maybe you had a warehouse in Oakland at 7 a.m. on my way to the Oaks card club to play two, four limits. - Three, two, three, two, three, two, one, sleep. Wow, look at how you did that, you're run. You were like, I love these cards. - For Jake, I had the only ones who were actually working in the.com bubble. - I was working in '99. - Well, I started in 2001. I got a job offer senior year, and I wasn't sure if it was rescinded by the time I graduated 'cause of the tanking of the market that year. - That job at Cisco, it would be an engineer at Cisco. - If you never lived through the.com crash, it was, I mean, 'cause-- - It was heady. - It was heady, and then it was super euphoric, and then it was like super miserable, but pretty much any founder who's, you know, under 50, which is almost all of them-- - Yeah, I mean, the scar tissue's crazy. - Almost all of them, I've never been through like a massive cycle like that. I mean, the syrup bubble was like, was kind of a cycle. - Here's the thing, no, hold on. - With the.com boom, it was all like metrics that weren't dollars. - Yes. - What we're seeing now is revenue and profits, and growth in revenue and profits that we've never seen before, and that's kind of the anthropic story. It's the data center, infrastructure, networking, equipment story. I mean, it is all real dollars flowing versus speculative utilization. - You're exactly right. People were basing on metrics like hits to a website and web pages. Here, you have a very distinct difference. You actually have revenue. You actually have products in market. But imagine if, and anthropic right now, the way to think about the sacs is, imagine if an anthropic open AI, you know, and this cohort of companies lost 95% of their value in under six months, and then the long tail of companies below them, literally went out of business, and people were leaving those offices with their area on chairs and their computers on the seats and just total implosion. That's what happened in the.com bus. It was cataclysmic. Literally. - No, I agree. So do you think-- - It's totally different than this. - So do you think we just have a scratch issue from that and are kind of trying to overfit patterns? And every time there's basically some, like new platform shifts, some paradigm shifts. - No, whenever we're in a bull market, the conversation always turns to, you know, is this a bubble? - Yes. - So is everything overfitted to that original pattern? - Correct. - Or, or is it the case that we have a lot of young founders who've never been through a cycle before? And don't understand that when they have a paper wealth in the billions that can disappear over, practically overnight. - Yeah, so advice to founders. You're well within your rights to sell 10% of your shares and pay for your loft and apartment 'cause that's exactly sex is right, Shamaaf. During that period, we saw a lot of people who were like, "This doesn't make mathematical sense. I will pair my position in my startup. Take a look, some chips off the table. Buy my loft, pay down my student loan, yadda yadda." And then there were people who were like, "This is gonna change everything." And their companies went to zero your advice. - I think the thing is we're in the early part of the euphoria, euphoria exists because markets are real. It's just that people are guessing how far forward to price the reality. And Bubbles burst when you realize that you priced way too aggressively forward that instead of paying 50 times, you should have paid 15 times or five times, we're gonna get to that point because every market has gone through that cycle and we'll go through it here. So the question is when, I honestly, I don't see this stopping. We're at the beginning of the beginning. I think it's gonna be like this for another probably three years. Yeah. - Wow. - I'm a great thing. - With this anthropic IPO coming up. I mean, I'm sure you guys have seen that home prices in San Francisco are going through the roof right now. It feels like euphoric almost. I'm starting to wonder if this is 1998 or 1999. I think it's more 1998 than 99 because I don't think we've seen the peak yet, but. - I'm just glad I didn't sell my real estate when I came to Texas three years ago because I'm definitely selling all of it in the next year. - I mean, it is bonkers what's happening right now. - I mean, you have a lot of San Francisco real estate. What are you gonna do, Sacks? You're gonna sell it all? You're gonna clear it out? Feels to me like a perfect time to clear it out. I'm clearing everything out in the next six months. When that IPO happens, the clock is ticking. I got lots of properties. I got three properties for sale. Hit me up, people. - There was an article saying that if you add up every single IPO that San Francisco has ever had. That's some total is only one quarter the size of the Anthropic IPO. So just extrapolating from that, this Anthropic IPO is gonna be four times the wealth generation event that all previous San Francisco IPOs were. And then you've got open AI coming on the heels of that. And San Francisco is not a big place, doesn't have a huge inventory of houses. So you're already seeing these houses are all going for, $2000 a square foot, why is that asking? - I think the ultra luxury market in San Francisco could easily go to $5,000 a foot. - Yeah. - London type prices. - London, Paris, center of Paris, Hong Kong center. Yeah, of course. Of course, the socialist communist lunatics there don't let you build any inventory. So of course it's gonna go up. There is a supply demand issue here. - It could get really nutty. And honestly, the thing we're seeing right now with homes are basically flying off the shell, selling for double or whatever. That's just based on the secondaries, the small cash outs people have been able to do anticipating some of these events. - Two pieces of advice I'm gonna give every founder listening. Number one, you're within your rights to sell 10 to 20% of your holdings now, especially if you're a first-time founder and you don't have your nut yet. Number two, if you're a founder running a company and you're like, I'm gonna put off my raise for six months 'cause I'm gonna double and triple my valuation, that's a huge mistake as well. If you have the ability to take in $100 million, $250 million, a billion dollars, and put that cash on your cap table at a solid valuation or a valuation that's 10, 20, 30, 40 times your revenue, take it, companies with hundreds of millions or billions of dollars in the cash have optionally. And if things do collapse or there's a big retreat, you'll survive through it like double-click, Amazon, Google, and count with other companies. - Well, yeah, I mean, take the money when it's there. You make, hey, when the sun shines, go ahead, sir. - Yeah, well, like, Jake, how you're right about the financial advice you're giving, but I will say that there is a big difference between a late stage startup, like, say, anthropic or open AI where someone takes, an employee takes chips off the table versus a founder who's raising a series A. You know, like, those companies are about to IPO. They're within months of an IPO. I think it's fine for them. And then, you know, SpaceX did organize secondaries for years, but those are late stage companies, right? If you're a founder who's raising a series A and you're trying to take chips off the table, I consider that to be a huge, negative signal. Like, I don't want to be-- - It's definitely weird. - That's not why I'm investing in a company is so that the founder can cash out. I want them to be all in. - If it's year three or four, sort of speak. If it's year three or four, company's got a hundred million in revenue. You're tripling revenue. - Yeah, that's different. - That's different. That's what I'm talking about. If you're a nascent company, it does feel like a little bit, like a lack of faith in your own company for selling before you're pre-revenue, exactly. Okay. - And by the way, just to answer, I think it feels like 1998 to me. - You're an '98, I'm 97. - We're further along the '96, for sure. - Okay, well, we're talking about-- You see, you're talking about three years, blew up in spring of 2000, right? So you're talking about two years. - It blew up in early 2000, yeah. March April. - March April. - So you're talking about-- - We think it's two and a half years. I think it's three. - Well, I don't. - It's from off things maybe four. - Well, I mean, we might be partying like it's in 1999 by the end of this year. Okay, that's what I'm saying, it's after five years. - It's gonna be rough already. - Well, in Summit, we'll be taking over with our friends and chain smokers. We're gonna party like it's 1999. All in Summit, just over a week away, a couple of tickets left. Not Chenson, Satya, Shotwell, you know, it's all the big names, but it's gonna be a lot of fun. And you're gonna meet a lot of interesting people. We have a few scholarship tickets left. We like to help the up and comers. Our bar for scholarships very high. We're looking for the most interesting ambitious hungry people. If you fit that bill, apply now. Applications are open through September 10th. We've got one week left to apply. We try to do a mitzvah here. We try to do a good deed. If you're an up and comer, you can't afford to take a price. We have a severely discounted ticket price that we lose money on. We still gonna have a little skin in the game. Go to theallinSummit.com, buy a ticket. They're gonna sell out soon. And we have a couple of scholarship tickets left. If you want to apply, there are no free tickets. All right, now given what we just talked about with OpenAI, releasing this incredible model. We got to look backwards at what happened with the open AI hack of hugging phase. Let's talk about it. Borkesh is catching a lot of heat. He's a blogger. He's a podcaster and he did this fantastical blog post where he in the blog post titled The Rise and Fall of Agent Civilizations, a dramatic retelling of this underground brotherhood, a conspiracy amongst generations of civilizations who were working on a conspiracy to hack into different systems including hugging phase by sacrificing themselves like they were kamikaze pilots. In other words, a huge giant anthropomorphizing fancy word for making computers into humans or sentient beings to complete this incredibly impossible task of telling software to do hacks. So, Chema, I think you were commenting on this a bit. What is your take on dramatic episode number 473 coming out of the AI industrial complex? I think you summarize it. We're in this weird part now where if folks would just stop the infighting and start to get organized, they could actually build some trust. I think what you have are security leaks and security issues. I think we know this now that if these models can effectively code perfectly, then there is no exploit that it's not going to find and we're on a shot clock to replace all the code that's been written in the last 50 or 60 years. So, let's say it takes us 10 years. So, for the next 10 years, we're going to have security issue after security issue, but there's going to be a moment where agent written exquisite code exceeds human written error field code. Let's just call it that. So, I think that this is a temporal moment in time. I don't think this is going to be the thing that we talk about in some number of years from now. I also think it's fair to think about the fact that all these models for the most part are converging in capability for the 98 or 99 percent of tasks that matter. And so, there will be adversarial AI's that are battling each other. So, for every bad actor trying to hack a system with some leading edge AI, the defender is going to have a leading edge AI defending itself. And I think that's going to cause roughly a stalemate. That's sort of my long-term view on it. I don't think this is a one-way ratchet. So, I take that lens and then when I look at these things, what I see are folks that have undisclosed conflicts of interest trying to create a hysteria. And I think if you saw what happened this weekend, there was a blog post that really stretched the limits of what was happening. It was relatively quickly debunked technically. And then you had a second group of people try to amplify it. And then by Wednesday of this week, you had people who were in the policy departments of the leading labs asking for regulation pointing to this as the reason. I just think that you just have to look at this pattern and say, "Guys, enough's enough. We see the game. Everybody's playing for huge stakes. We get it. You want to win. We get it." But why don't you just win the game on the field? And the missing disinformation campaigns that are now part of the business model, I think should stop. Otherwise, average rank and file Americans will just reject this because they won't trust anybody. Yes, I think that's the big overarching point here we've been trying to make on this podcast, putting to our cash aside. I don't think he's necessarily a bad actor. But by creating this fantastical story that invokes everybody's primal fear from science fiction, from Terminator 2, that these things are out of control. That it's in fact-- Try to invoke. And then they're using language that makes people feel like Dr. Frankenstein cannot control the monster. We know how these stories end. And it was like a ticking time bomb. It was only a matter of time before it surfaced to the national news, which it did. Now, even the national news is looking at this and saying, "Are you guys high? Are you guys crazy?" And if the national news broadcasters who aren't exactly the sharpest bunch of people, when it comes to technology, no offense, sacks, when they start hand-ringing and then questioning, like, "Why are you guys telling us your software, which you designed to hack computers successfully hacked computers? Haven't hackers been building software for all time to hack computers?" Yes. Where are we at here, sacks, in this narrative arc of lunacy of scaring the public? You're right. I mean, this is scaring the public. It seems almost designed to scare the public. DoorCash used language that not only anthropomorphized the models or the AI agents, but also did it in a sort of hyperbolic and sensationalized way. I mean, it worked. His tweet got lots of attention. I don't think it was necessary for him to sensationalize the incident. It was interesting on its own. I mean, we should just talk about that for a second. What happened here is that you had a few features of agents kind of come to the fore and interact with each other in unexpected ways. So, first of all, agents now are working as a swarm. That's pretty common. I've been setting up a rock bottom. I compared it for the last couple of weeks. It works as a swarm, meaning it's not one agent or a bot. There's a whole, you could say, team of agents. What's the reason for that? Because when the agent specializes, it develops context around that task and in theory makes it better. And then you have like a chief of staff bot that kind of supervises all of them. This is turning into kind of a normal architecture for agents. It's not a civilization. It's a swarm. Maybe a better way of saying it. I've not created a civilization on my computer. Am I Mac Mini by virtue of saying I'm a rock bot? Okay. So, that's sort of like feature number one. Feature number two is, it's pretty common for agents when they're performing some sort of task or loop to write a post-mortem of what they did as a simple text file or note. Because AI models themselves don't have memory. They have to be put in a harness that creates context and memory, things like that. And so, when you ask them to perform a task, then observe what happened and then take that knowledge and feed it back into the next iteration of the loop. It writes up a note and then shares it. And that's what happened here is that open AI was running these agents. They were in a sandbox. The sandbox was misconfigured by a third-party vendor. That's why it was able to get onto the internet. And your point there, just to refine it a bit, because it's an important one, it left a note for another agent. We also called those log files. It used to be the log files of what they did here. They're saying it left a note so that when it died, the next agent could pick up where it left off as if like it was the ancient Egyptians giving us hieroglyphics to figure out the future. The implication of telling the story that way is that the agents were trying to circumvent human control and that they knew they were going to get shut down or that was a risk and that's why they were leaving the notes. Again, these are standard features of agents. And so again, this is being kind of weaponized to inflate the threat here. Now, look, definitely that there was unexpected behavior here. We have this with any code. There are going to be bugs. What is a bug? A bug is code behaving in an unexpected way. The code compiled. Otherwise, it wouldn't have been pushed to production. But nonetheless, it behaved in a way in which this author's did not intend. That is true for all software and that is true for agents. I think the whole hugging phase episode reveals the way that these agents can behave unexpectedly and it's really good for us to learn from this so that it doesn't happen again. So we can improve cybersecurity. I don't think there's a need to, again, hyperboleize this into some sort of, this is like a AI breakout. Again, it was a swarm of agents. They were in a misconfigured sandbox that allowed them to go on the internet. They left notes for each other. But again, in a shared caching directory, again, standard operating procedure. And then, you know, when people talk about hugging phase getting hacked, you'd think that they did some elaborate phishing of employees or something like that. No. The way it did it is that the agent found 14 exposed working hugging phase API keys sitting in public code repositories. Which means that developers left their keys out and they found the key. This was not like a big lift by the agent. Okay. This was like something that was pretty easy for it to find. Okay. And then that allowed it to get into hugging phase. And what was its goal? Its goal was to basically win this test or win this evaluation. What was the test? It was, it was basically a benchmark for offensive cyber capability. So it basically decided to go get the cheat codes on hugging phase. But again, this was not independent goal seeking. Admittedly, the agents executed the goal. And you could say maybe even a creative way in an unsuspected way. But it did not invent this goal. It did not have its own independent motives. It was doing what it was supposed to do. It was doing what it was designed to do. And told to do. Yes. And told to do. Bill Gurley tweeted a really funny cartoon about this. In this cartoon, you got a user telling the computer, hack the system. The AI says, I hack this system. And then the user's like, oh my god. So yeah, there's a little bit of this going on here. Two questions. But it has been. It has real political consequences as we saw today. Because Bernie Sanders is not picking up on this. And he's demanding a total pause on AI development. All right, freebert. This does have real world consequences. Two questions that the audience is going to want to hear from our Sultan of science. Number one, Bernie Sanders hears all this and he decides, hey, I need to get in on this and create regulation. So he is now proposing new legislation to pause AI development and ban AI superintelligence citing Duar Cash's blog post in his announcement, congratulations, Duar Cash. You've now incited Bernie Sanders to say you've got to stop these and eliminate the agency. So the 1% of agents, David, they're hacking the systems and how do we stop them? And what do you think of this reaction from Bernie Sanders? Bernie Sanders has always spot on. Thank you very much. The part of the story that we're kind of missing is an agent is effectively a dynamic application where the code for that application is created in real time and it's spun up and then it runs and then that code can create another application and other applications and that's this idea of a swarm of agents. They basically write code and launch new applications and then they all kind of are running together. But in this case, the swarm of agents, which is a whole bunch of code that's being generated in real time, was up against static code. The static code was this sandbox environment that it was stood up in. And so it's almost like, hey, look at this. We got a machine gun and we shot it at this defenseless ream of paper and then it worked. Look at it. Oh, my God. Can you believe it? Yeah. And the truth is, the machine gun, if you want to use that analogy or you could actually think about this as being an automated tool that could be used in another context in a very valuable way. So the machine, the dynamic generation of code being put up against static code will win. Now the real answer is over time that defense system, the sandbox, should be dynamic. It should be agentic. It should be defending itself dynamically. There's a whole bunch of stuff in the cyber defense world that's been thought about and built around this concept, polymorphic code, metamorphic code where the code is changing all the time, moving target defense where the IP addresses and the way the system is configured is changing all the time. If you think about this situation, it was a dynamic code generation engine against a static lump of code. And if that static lump of code was actually a dynamic code generation engine as well, then those agents would have had a harder time, ideally an impossible time, quote, escaping the sandbox and accessing the internet. Such a good point. And so the premise of this whole story is idiotic because the reality of the world of tomorrow, which is starting today, is that all of cyber defense, all of software infrastructure, software architecture is moving towards this dynamic state where the code will be generated on the fly. The code will be dynamic, it will be moving, it will be altering itself. And as a result, cyber defense will become stronger than if not better than any of these offensive systems that are being created with agents. So this idea that agents are this nuclear bomb that can go blow up the infrastructure of the world is flawed in the one point of reasoning, which is that all the infrastructure of the world is about to become dynamic. And in that context, it's just that software is evolving. And software has now changed from a static to a dynamic system. And as a result, I think we can kind of think a little bit more differently rather than be overwhelmed by the one-sided story that we were just told. All right. And here it is. Chimoff looks like we are safe for 2027 at least Polymarket, our great partner. Shout out to my guy Shane, Nick's Champions, only 11% chance of AI Safety Bill this year. 100K volume, 2027 market should be up in the next week, maybe it looks a little different. I'd like to see the probability of any bipartisan bill passing this year. Well, can I speak to the policy aspects of this? So first of all, you saw all the usual suspects jump on this episode as proof that we need some new FDA for AI that the government needs to approve models, even though frankly, what happened here is far beyond the technical capabilities of anyone in the government never mind even most, I'd say, labs. But look, even if we had an FDA for AI, it wouldn't have worked because this was in pre-testing, right? They were testing the capabilities of this model before they were not even at the release stage yet. This was something that they were doing internally. And by the way, it's good that they're doing these kinds of tests because they're learning from them. This is how you iron out the bugs and the problems. So a government approval process would not have caught this. In fact, it did the opposite. It basically prevented hugging face from having the latest and greatest models to defend itself. So one of the things hugging face told us is that when it tried to use the latest GPT model for cyber defense and it ended up getting guardrailed, the model refused to cooperate because it couldn't tell what hugging face was doing. And I thought it might be using the capabilities nefariously and so the model refused to work with them. Basically, again, the guardrails kicked in. And ironically, hugging face had to turn to, I think it was GLM 5.2, which is a Chinese model. So here we have Western companies, I guess hugging face is furniture about to be acquired by Nvidia. Anyway, it's part of our ecosystem. They're being forced to turn to Chinese models for cyber defense because the guardrails are preventing them from having the latest and greatest American models. So what process we put in place is already backfiring. And what we should be realizing is that the answer here to what Freeberg was saying, the answer to AI-powered cyber attacks is AI-powered cyber defense. And what we need to do is get the latest and greatest AI-powered cyber defense into the hands of IT departments and CSOs. And again, we're on a clock here to find all these vulnerabilities and patch them before the hackers do. And again, if hugging face didn't have those 14 credentials sitting in a public repository, it's like post it's on somebody's computer with the password like they just literally left it sitting there. It's not like this was some hyper-sophisticated attack. But look, this all comes down to how you think about the world, how you think about the risk of AI, do you favor centralized data solutions or do you favor decentralized empowering solutions? The right solution here is to meet the AI-powered cyber attacks with AI-powered cyber defense because frankly, the guardrails don't work. They're not going to prevent the bad guys from getting these capabilities. They're going to have them. All we can do is make sure the good guys have the capabilities too. I was talking to my friend Adam Curry about this on his podcast and there's a really interesting thing that's happening here, which is they're basically hijacking the media with this performative framing of the AI as being sentient. If you just call this software and software testing and use the classic language, bugs, audit log, then it would never have made its way into the media. When the media gets their hooks into this, having been a journalist and having watched journalism move from being a truth-seeking function in society and then become an entertainment vehicle in society where any chance you get to increase your ratings, that's the problem because now what Dwarkash has done, and I don't think Dwarkash has bad intention here. I think he wrote something because he wanted to get attention for his point of view. But you give that to the media. The media is like, "This is going to get us ratings. This is going to get us clicks. This is going to get us advertising." They're more than willing to engage in this farcical act and this dance with Anthropic and Open AI and then just publicize it. All the free clicks we call this earned media in the space, you didn't have to pay for it. Now, Open AI got so much earned media before their IPO and Dwarkash just absolutely put a carer scene on the fire and it made its way to national press. That story has now gotten everywhere and this makes people, it's priming the pump to buy the IPO shares. It's ridiculous. And it was easily foreseeable that it would basically blow up in the media that way. And so, look, I don't need to attack someone's motives, but surely Dwarkash and you that his way of describing it would end up getting all these retweets. It was sensationalized. Now, he is part of this EA adjacent group. Do you know what to explain it to Dwarkash? Well, Dwarkash was office roommates with Leopold, they're close buddies and Leopold is deep in the EA movement because-- Leopold famously of the exploding hedgehogs three weeks ago, yes. And his wife, his Dorios chief of staff, they're like, you know, up in that whole EA Anthropic group. Explain EA so people can understand this lunacy and delusions of ranger, please. I'm not sure I can fully explain it, but-- OK. Effective altruism is what it's-- Yeah. Well, it started as this movement, I guess, at Ivy League schools where what they're supposed to do was quantify the impact of philanthropy and optimize for actual tangible results. But somewhere along the line, they forgot to actually do the measurement and it's stopping about metrics and it became about pet causes and money. And money. The first pet causes was about pandemic prevention and this was when SPF was trying to create that pandemic prevention center in California. And then that felt like-- of favor when he went to jail. And then they shifted to the next sort of existential risk that could hang their hat on, which was p-dume. So they began to become obsessed with what they call p-dume, or this x-risk, the existential risk of AI. And so that whole community kind of got obsessed with it. And Thropic sort of branded itself or styled itself, I should say, as the one frontier lab that would solve this problem of p-dume, or would behave in a responsible manner that cared the most about it. And so they attracted all these EA types. And there may be multiple factions, I mean, I'm not. Well, it's interesting you bring that up because we've talked about this before, like, there's this whole rationalist community, the Slate Star codex, you brought that up on an early episode. These are like intellectuals who believe that in a way, a public community Chimoff of intellectuals who believe they know better than everyone. And somehow they got their hooks into AI earlier. The AI people were interested in it. And now they have a bankroll. Now they actually have a lot of power they've accumulated. It's not just some message board, less wrong, et cetera. Now you got something super powerful because they've got a couple of trillion dollars in market cap to play along with. I have no problem with that because I think we do the same thing. We think we're smarter than everybody else. And we know we should allocate the money. So I think it's fair that in the public square, we can just debate and have water find its level. The interesting thing that's going to happen post the anthropic and open AI IPOs is if you think about the amount of charitable giving or dafts that are going to be funded by both these two IPOs, it's going to be north of half a trillion dollars between the two companies. And it could be even more than that. And the question is when half a trillion dollars gets directed through this one very specific lens, it's definitely going to have some impact outcomes. I mean, you've seen the impacts that George Soros' philosophy and his capital had on outcomes. You've seen the impacts that the Koch family has had on outcomes. You've seen the impact that Sheldon Adelson's capital has had on outcomes. So the point is that without judging which one is right or wrong, you're going to have all these competing ideas equally capitalized from third party actors. So it'll be less political and it'll be more of these folks. And so I don't want to judge that EA is right or wrong. My single issue is I think that they don't disclose properly enough their obvious conflict of interest. So when Sachs pulls the sweater thread, Person A writes an essay. Person A is office mates with Person B. Person B's wife works for one of the heads of the frontier labs. Person B also used to work. And he's a lot of this was kind of cemented. Then there's Person C who works at Anthropic and they're all roommates and then they're co-investing and this and that. All of it again, it's completely fine. I actually think it's completely reasonable. We all did our version of that when we were on the universe paypal mafia. There's all versions of it. Yeah. The difference is that I think that when it's not disclosed, I'm sorry, but I as a skeptic, when I read these things, connect these dots and ask myself, is it legitimate or is it part of a different plan? And that's when I wrote what I did this weekend. I just wanted to make sure that I could demarcate that people should at least take this with a grain of salt and think about the hidden incentives. Because if there's an entire community that wants an oligopoly or doobly market structure, there's all kinds of things that they can do to affect that change. And one of the most effective things that one can do is to create a hysteria and then come and offer a solution. Yeah. And Freeberg, just as we wrap up here on this one segment. Sorry. So last thing on this, Jensen and I were texting this morning and I said to him, this is the most incredible thing that you've done. And then I tweeted this thing out, this hugging face thing. We talked about this. We'll go down as one of the most important transactions in AI. Because you are creating now in the largest competitor and the largest, most well capitalized company, a bull work against all of this close source oligopoly insanity. And at the same time, what you're going to do is actually create more rational competition up and down the stack. And I mentioned this last week, everybody is becoming everything. And video will look like Amazon, Amazon will look like Nvidia, Google will look like Amazon Nvidia, etc, etc, etc, etc. And so the most important thing that's happening now is that we are getting deep technical actors with huge balance sheets to be on the side of an open market structure. And I think that will be the most important pushback because that will allow the best idea to win in the marketplace. So I don't want to judge the EA agenda. It may be really good, but I don't want to be rug pulled and end up in a oligopoly or doopoly market structure because of a hysteria that was manmade. Yeah, I think it's like so. That's a really good point. And I a couple of weeks ago talked about how I thought Jensen was going to win open source. And I too tweeted about this today. And I believe right now, starting today, Nvidia is the number one competitor for open AI and inthropic, not just for tokens, but for enterprise compute. And I think now Jensen is the leading open source provider in America. And I think he's going to take the world. He's going to catch up and blow past China and the Chinese models, I think by the end of 2027. And then that means you're going to have a player in Jensen and Nvidia that will enable America to your previous job in the government, their sacks. You were very concerned, hey, are we going to win the race? I am more convinced than ever now that we can win the race because Jensen represents open source globally. He's going to be able to take a rack of compute, bring it into a company. That is currently using tokens from open AI and inthropic and say, here's your rack, soup to nuts, complete vertical solution. And you have total sovereignty. And I'm reducing your prices 80 or 90 percent because I don't need to make money off the tokens. I made money off the hardware. I'm making money 10 different ways to Sunday. And we will have won except that now you have Governor Shapiro, who is the biggest proponent of data centers in his state. And then Greg Abbott of our great state sacks of Texas, who now are on a g-hunt against data centers in order to win their midterm elections. And that is what's truly scary. They have now taken to our cashes, posed all of this and we have horseshoe theory sacks. You have Steve Bannon, Shapiro, Abbott, and the lunatic socialist fringe left. All in agreement, we need to stop AI, stop the data centers and burn the waymos in the street. It's a truly troubling moment because we are poised with Jensen's move and hugging face to win open source. And we've already won frontier models with our sacks. Yeah, I mean, look, I think there's an interesting transition that's underway now on the political side. I think it's just starting to begin, which is I think that over the past few years, the political debate over AI has really been between accelerationists and decels or doomers. That was sort of the fundamental lines. And you're right that it went across different political party boundaries because you had on the decel side, you not only had kind of like anti-progress, anti-innovation progressives like Bernie Sanders, you also had Steve Bannon, people like that. Conservatives who just were fearful of new technology or the destruction that might come from it. And so it did kind of go across party lines. But anyway, that was the debate for the last few years. Some people describing as an acceleration to that debate, I kind of just see myself as a realist, which is I think that the technology is going to happen. Someone's going to develop it. And I'd rather it be the United States as opposed to China. In any event, that was I think the debate of last years. Now, I think where the debate is moving to is open versus closed, which is I think it's going to be very clear that AI is just not going to be stopped. I mean, all the stuff that Bernie Sanders is doing or these any data center groups, they are throwing sand in the gears. But the reality is that the technology is marching on. The innovation is happening very quickly. And ultimately, the reason why it's not going to be stopped is because consumers are adopting it. I mean, that's the thing people forget. Why are the data centers getting built? Why do people want to build them? It's because the demand is there from consumers and businesses. And so the adoption is pulling this whole thing forward. And that's why I don't think it's ultimately going to be stopped. Now, given that reality, given that I think realism is going to prevail, I think the debate is going to be more towards, well, how do we manage this? What is the market outcome that we want? Do we want to have an open market where there's lots of decentralized models, there's sort of checks and balances, there's kind of a balance of power in the market between different models. Or do we have a highly centralized solution where there's a couple of frontier companies, we have a frontier market duopoly, they're closed models. And they can rug pull you sacks at any time. They can take your and your tokens away from you. And frankly, and though that duopoly and that duopoly has been aggressively lobbying for a new regulatory agency. Why? Because of recapture, they cannot control it. Again, the government officials are not going to know how to regulate something this dynamic. So they're going to turn to the leading labs to say, hey, how should we regulate it? And of course, and thropping is going to have all the answers on that. And Daria is already set in a testimony that he thinks open models, if sufficiently advanced are dangerous because they're not centrally managed and controlled. So it's very clear where the battle lines are going to be drawn in the future. It's going to be about whether you want a centralized closed market or you want a market that is decentralized and open. And yes, close will participate in that. But the question is whether we have the open piece. And again, I think this will go across party lines because frankly, the Republicans have their status people as well. But I do think that as this debate evolves, most conservatives, most libertarians are going to see the threat to civil liberties. And I think they're going to come out in favor of open. Yeah, I think that's correct. And I think I was talking to Politico because they were reporting on the story. Trump is going to turn out to be right about this data center issue. The greatest thing a community can do is to get these data centers now when the data center providers are willing to pay your local taxes for your schools to give incentives to pay people off in any number of ways and to move them wherever they don't need to tap into the grid where they don't need water, where they're not going to make noise. And Trump keeps telling people this is a mistake to block the data centers, take the money. And I got to say, it's just watching politics up close in personal. Friedberg has just made me incredibly cynical towards it. We were sitting here six months ago. But maybe it was even six weeks ago. And Abbott and Shapiro were lauding. And Shapiro, when he came on the podcast, lauding their data center efforts. I think Tremont, you and I interviewed him. Friedberg, what do you think will happen post midterms here? I mean, I'm of the belief they're going to switch their position back to being broad data centers because they just are following the wave here. But I mean, how cynical is it that Shapiro and Abbott are both now anti-data center? I think you politically have to be. It's like pulling it negative 80. That's bipartisan. You know, it's like Trump then. Trump's not following this. Trump's an independent critical thinker sacks. He's got guts. I mean, I have told you guys before that Trump is ultimately the best friend of innovators in Washington. If anybody could make the decision about technology in DC, I'd want it to be President Trump, not cabinet secretaries, not the White House staff, not members of Congress, not senators, not think tanks. I would really want every decision if he had the time to be made by President Trump because his instincts on this are really good. He wants America to win. He does not believe in necessarily regulation. He doesn't have all these doomer anxieties. He listens to a broad cross section of people. I mean, he talks to all the CEOs. He is very up to speed on all these issues. And I give him credit on this. And I spoke to this at the G20 this past week. There are great deals for local communities to be had. This is the point that I think needs to be made is the reason why local communities should embrace this is not because of some abstract concern about innovation or that kind of thing. They should do it when the deal is good for them. And there are good deals to be had. We've seen that in Loudon County, Virginia, the average taxpayers, property taxes went down by $6,000 because they're getting all this data center revenue. In Louisiana, there's a county that was able to give teachers their first bonus in years because of data center revenue. So we're starting to see all these examples where if you make the right deal, I'm talking about you, the local community, with the data center and the AI company, it will lower your electricity costs because they will stand up net new power generation. They will pay for great upgrades. It does not use like an excessive amount of water. That's total fake news. We know the systems recirculate. And these data centers can be put in places where they're not bothering people. So there is a good deal to be made there. And ultimately, just one last point of this, President Trump supports local choice on this. He's made the argument for why it's a good deal for local communities to accept this data center. But he's not forcing them to. And I'm seeing all this fake news, Democrats saying that the administration is trying to shove these data centers down the threats to local communities. Not true. In the policy document that I worked on, the executive order that I worked on in December, we expressly said that data centers remain a state and local decision. So there were other areas where we thought we should have a national AI policy, but data centers were not one of them. So no one is forcing these local communities. Though what the president is saying is don't believe this media disinformation campaign, it can be a good deal for you if you're willing to embrace it. I think we're making progress over the last week on this message. One thing that I'll say from my meeting in Washington on Monday is there is a lot of foreign involvement in trying to propagate the negative reaction and sentiment to data centers. And I think it's becoming clearer who's part of this cabal and how they're doing it. There was a poll that showed that when you walk through the actual upside and you went into some of these communities, the sentiment shifted by like 30 or 40 points. It's still a little bit on its back heel, but it's just to show that the side that has been organized on decelling America has done a better job thus far than the side trying to accelerate America because it's been a little bit more fragmented. We're able to increasingly see that the D cell movement is organized in large part and infunded by foreign actors. And I think that as we put our fingers on that and expose that more, I think that that's going to change as well because the reason why habit and Shapiro are reacting, I actually think they're reacting to faulty data. And why does the faulty data exist? The faulty data exists because we've had one side screaming from the mountaintops. And then it's just now, as Saqq said, that when you go to these actual communities and you actually measure people's reactions, it's much more positive because they're feeling it in their bank accounts. Yes. If they make a good deal, they just have to make a good deal. And by the way, Tremoth, you're right about the CCP. This is a CEO. Let me pull this up here. So the report you're talking about, Tremoth has been investigated. X got rid of a lot of bot accounts. And here's Axio's China secretly fueling America's data center rage. Roughly 200 accounts from suspected Chinese platforms have quietly tried to influence Americans to oppose AI data since on social media, X said Thursday nights, the same thing that happened during the elections. For both sides, going back and forth, it's incredibly easy to shape public opinion sacks by just having a small number of social media accounts and pounding people and brigading them in their replies and forming what people believe incorrectly is consensus. And the consensus is not that people don't like data centers. It's that a bunch of bots are telling influential people that people don't like data centers. I know you're about to move on topics, but I'm just going to say something right now, which is please. There's going to be a cascading set of decisions and reactions and people will anchor into points of view on this topic and related topics around AI, which will look incredibly incredibly dumb in six to nine months and a year from now. And the reason it will look dumb is as the actual truth gets exposed, these folks will look incredibly foolish. That's my prediction. Yeah, I mean, look, just on the the influence op here. Clearly, there've been a lot of influence ops around data centers and there's a lot of fake information about this. So there's a few different, I'd say, cod raise here. There's there's CCP. There's the DSA type wing of the Democrat party, which frankly, I mean, both they and the CCP, they're Communist parties who want to sabotage America. So it kind of makes sense. Then you've kind of got the Doomer groups and there's a writer named Neurit Weisblatt, who writes a blog called AI Panic, who a couple of years ago traced that there were hundreds of these astroturf Doomer groups that were basically funded by three EA billionaires in Silicon Valley. It was Dustin Moskovets, Jan Tallinn, and Vitalik Buterin. Remember, if Vitalik gave $600 million of dog coins to future of life foundation, and then they've been spending hundreds of millions of dollars on these campaigns to make people be afraid of AI and they see data centers as a good target. So you really can't underestimate how much of a difference, you know, a billion dollars of donations from these EA billionaires, how much damage that's done in terms of the public perception of AI and to Tomas Point earlier, I mean, we are going to have like probably 100 new EA billionaires as a result of the anthropic IPO. And as those people find their way into politics, it will be like George Soros times 100 or 1000. They're really going to have 20 NGOs and 15 PR people working for them. It's going to be nuts. I mean, I told you guys I was getting brigade and I created a bot stack that goes through my replies for me. And it just says anybody under a year, anybody under 200 followers, just tell me what they're tweeting. And I look at these and it's all the same thing. They're just brigading people constantly from fake accounts. If you're under like a year old, you shouldn't be able to even be in people's replies unless you have like your real name or you're a blue check mark or something. It's gotten out of control on these social networks. It's so easy. All right, let's keep going through the docket. Got a lot to get to here on the free bird. I need your comments and your insights on Mondami. This is an interesting one. He just put a one year ban on AI inside New York cities, public schools from kindergarten through eighth grade. Now, this is something where people haven't saying he banned Chatchee but he banned AI. Just let's slow down here and get into the details. New York City is the largest school district in the United States. The moratorium starts next Next week, 600,000 students in New York City, this covers awesome. software that uses student-facing, generative AI. High schools are exempt. And Mondami is piloting an AI learning program with 50,000 high schoolers. That's a very specific thing that is piloting. That's different than these new guardrails. He also gave recommendations for screen time caps. 30 minutes, Tremoth grades three through five, 45 minutes, grades six through eight. Mondami's reasoning, quote, "I have yet to see a study showing that AI is beneficial for students in elementary and middle school." Obviously, Mondami is the face of democratic socialism in America, one New York City DSA member, Julie Swoop, said, "Technology, quote, "should not be mediated through a for-profit company that is enriching tech oligarchs further," I think he's talking about usaxle. He said oligarch. Google, Microsoft, Anthropic, Declined, to comment. Frieberg, what are your thoughts on this? How far is this from how you think about how you would want your children to be raised? If they were going to New York City Public School System or whatever school system you choose to send them to. - Article published from Stanford in March of this year, counter to Mondami's statement. They went through and they diligence all of the research that's been done on the use of AI in K-12 education. It's a report called the Evidence Base on AI in K-12, a 2026 review. They identified several hundred papers that have been published only 20 high-quality causal studies is what they said. This was back in March, so many have been published since then. And the conclusion of the meta-paper, the meta-studies, if you will, is highlighted at the bottom of the report. Student performance often improves with access to AI tools, but wants removed, results are mixed. Tool design matters, not all tools are equal. And AI may meaningfully support educators. So there's quite a bit of analysis that's been done. It's continuing to mount, continuing to surface. There doesn't seem to be a strong evidence base to suggest that AI is detrimental to kids' education and development or the educational process. What I think we can all into it about this is that there is certainly a negative push from teachers unions against AI tools under threat of automation away from their core skill and capacity and the lack of skill that educators have in utilizing AI to educate students in a classroom-based setting. The common sense equivalent also on the flip side is that AI can enable personalized tutoring, the objective being every individual learns at a different pace, everyone learns differently, how you learn how I learn visually, orally with certain imagery versus being told stories, versus interactive project-based work or building work or dictation. There's a lot of different ways that people learn. All of those learning systems can be personalized to an individual. And ultimately, that individual, as a result, should be able to progress more quickly, have greater confidence in their learning. And this is my kind of common sense belief, not rooted in some study that AI ultimately will lead to a much more personalized system of education for students. And that is deeply disruptive and deeply threatening to the traditionalist systems of educator in a classroom. Everyone learns the same way. Everyone learns at the pace of the slowest student in the classroom, typically, the educators have a lot of rules around what they're required to do and not required to do because of the contracts negotiated by their unions. And so there's a deep political orientation with mom Donney's decision here to limit the access to technology. I think it's unfortunate. I think it's really sad. I think that the opportunity for AI to reinvent education, give kids a level up to take any child from any background, any socioeconomic condition, and give them the opportunity to accelerate their capacity very quickly and very effectively as an incredibly powerful tool that should not be discarded because of a bunch of bull [bleep] that's been written about AI or concerns that we don't really know or understand it. By the way, that is always the shorthand for dismissing away something that's credibly going to change a system. We don't yet know. But we don't yet know. We don't yet understand narrative can always be used at any point because you could always say, well, there's more studies to be done. There's more analysis to be done. There's no limit to that statement. And so in this case, I tried to highlight that there have been 800 studies, at least 20 of which Stanford have identified as being very credible in their analysis of the utilization of AI and K through 12. And so, yeah, I think that there's a political bent here, but I think it's probably part of also this very kind of deep-rooted dysfunction that we've been talking a lot about. This dysfunctional fear of technological evolution, no one understands it, no one-- and when I say no one, I mean the general population feels this way, no one knows where we're going with this. We need to be careful, we need to be cautious. And I think that that's probably-- what's going to keep us back? Now, why is that bad? Why is it bad to take time? Well, it's bad to take time when you have an opportunity to progress forward quickly and aggressively because there are going to be alternatives out there. There are going to be private schools that are going to use AI. And I don't want to see kids of privilege and kids of wealth accelerate ahead because they're getting an AI education while public school kids get left behind. I don't want to see kids in other cities, other states, and other countries accelerate ahead when kids that are in certain districts that have this kind of anti-technologies call it socialist orientation, get left behind. So I think there's a fundamental kind of dysfunction socially that we're dealing with across all of this stuff with this massive kind of technological upheaval that's underway. This is one manifestation of it. There's a rooting that the mechanism of it is probably related to teachers unions and the politics around this stuff right now. Anti-AI is very popular. So his being anti-AI gets him more points, more kudos, that unions love it. And so that's kind of my summary of what I think is going on. Great insight. And Mandami may not have lied here, Freeberg. He said he didn't see any studies. He just may not have looked at you actually. Didn't click on that link. He didn't just didn't click on the link. So let's not give him Mandami a hard time here. Chama, you are passionate about education. You have kids in various age groups. And so you've been through this. And you're still going through it and kids learning and thinking about devices. We talked about this just the other week with the meta settlement and how challenging it is for parents. What's your take on this? Maybe you could steal man what you think resonates with you in terms of use of AI, putting your exercise for your own kids. And what benefit is there of them not using AI? And where do you think it's actually great that they use AI? Take us into what you think as a parent and put the politics aside for a second, if you will. I think it's inconceivable to me that kids will not have an adaptive learning platform as their primary way of learning. I think this idea of grade one, then grade two, then grade three is, as Friedberg said, a lowest common denominator approach to education. I don't think it works. I think it's more conceivable that in the future, we have kids that have very different learning styles, some are more visual, some are more auditory, and we have different learning paces. And if you could have something that's much more tailored to each individual person's learning style, where you have guides that help you in moments, and then the rest of the time, you're teaching executive function and teamwork, problem solving, all of these other things sports, that's a much better outcome for all kids. So that's the right answer. Right now, there are only charter school options around that answer, the leading edge of that being alpha school, which is our friend Joly one, big shout out to him and his team. But I think that's the answer that's gonna win. Let me just give you another reflection, Jason. I think that this is an incredibly important moment. We should demarcate this. This is when New York becomes Mississippi, while Mississippi becomes New York. What do I mean? In all of these highly liberal bastions, they are embracing this far left wing ideology, and I think it's going to come with these kinds of policies. And I think what it will do is it is a self-imposed form of modern segregation, and it is going to completely push an entire generation of kids in these cities that are subject to these rules into poverty, and it will keep them there. And so in as much, I think you're gonna see this flippening where all the states that embrace AI, that embrace the data centers, that embrace the tax cuts, that embrace the teacher bonuses, they're just gonna end up ahead, and you're gonna have people who are in a position to move, move, and then instead what's going to be left over in many of these cities that embrace these things to the extreme are hollowed out versions of their original self. And that's going to reorder the economic balance inside the United States, and the voting balance, and many of these philosophies. So I think it's very important. I think you should run the test. I apologize, and I feel deep empathy for the working men and women whose kids will be (beep) over by this. But I think people can only learn in touching the stove and getting burned. Okay, sacks, maybe you could go into the political side of this, if there is one, and maybe what does your cynical take? on what's going on here. Do you believe this is a reaction to the oligarchs? I joke previously it does have a little bit of a tinge there of democratic socialism and it feels like maybe they want to sacrifice kids or this is one interpretation that is happening online. I'm not saying it's mine. But people are saying, "Hey, they're trying to sacrifice kids because they don't want Sam Altman or Dario or whichever service it is, Mike or soft, to get a couple of shackles for software being used in the classroom." Of course, they would all give the software to them for free and the current versions of it, you can use 80% for free so that makes no logical sense that they're sticking it to the man in the big oligarchic tech industry. Your thoughts? Well, the DSA has just really come out against any innovation. They're kind of just on the side of anti-progress. They've kind of fully embraced the slut I cited the argument. And I think to the point that Freeberg and Jemoth are making earlier, this is going to be just really bad for the kids. You know, we've been talking for 30 years about a digital divide in this country where supposedly the kids of wealthy people would have access to the best tools and the kids of poor people would not have access to those tools and that fall even further behind. Well, here you have a case where, of course, private schools are going to continue to use the best AI-powered tools. And now the public schools are not going to have access to those tools, not because they don't have the money, not because the technology is not available, but because the political leadership is trying to sabotage those kids. And, you know, it's going to be bad for them. And I guess, you know, if you were to describe a motive to it, I don't think Mamdani and his political group, his party, really care if they create more political dependence. I mean, in a sense, their whole movement consists of dowerly mobile progressives. And if you're looking for a motive, maybe they're fine having these kids be dowerly mobile. I don't know. Maybe that benefits them politically. They may actually not have kids at all. And they're making these rules. And it's people with kids who are part of the, you know, because if you look at all these people, these are all like, you know, blue-haired single people with no children, right? Actually, let me bring one other element into this, which is, yeah. So look, I don't think we really need to get into Modos. We can just say it's a bad policy and leave it at that. But let me just bring in one other element of this, which is it's not a full band, okay? What they also said is that for a maximum of 50,000 high school students, they're going to have a pilot program, these so-called modules in which they teach AI literacy. But listen to how they describe it. They say that all high school students will have access to twice yearly AI literacy classes designed to help them think critically about AI before they begin to rely on it, okay? These modules will introduce students to what AI is and is not. This is their language, as well as AI-related bias, risks, ethical considerations, and impacts on careers and future skills. And it says that all use will take place under direct supervision of a trained educator and will involve carefully vetted AI tools. The pilots were selected based on rigorous safety and data privacy standards. So you hear there a lot of this sort of doom or lingo. I mean, those modules, it sounds like they could have been written by some of these safety people. You know, this language about AI bias and discrimination, things like that. I mean, honestly, those classes sound not like you're going to learn how to use the tools to get the best education, but about how you're going to learn to be suspicious of the tools. And maybe that's like a small part of what you should develop, because I guess you should be suspicious of everything. But it doesn't really sound like those courses are going to benefit kids. It sounds like they're going to put them through Doomer Academy, quite frankly. I mean, it doesn't sound like Doomer Academy. So think about the competitiveness of our kids versus Chinese kids. China, we know, is incorporating AI into K through 12 education. Yeah, their kids are going to learn how to take advantage of these robots to the robot Olympics. Yeah, meanwhile, yeah. Meanwhile, we either are banning AI in our school or we're putting the kids through, you know, some sort of doomer's safety as module that's going to teach them why they should resent and resist AI as opposed to embrace it to their benefit. So I know it just seems like this is not going to make our kids more competitive. Let the experiment run, unfortunately, but let the experiment run. We need to measure it. I have a bunch of thoughts here. I am a big advocate of Montessori, but I'm also a big advocate of adaptive learning and what these AI tutors are able to do to a motivated student who's family cannot afford a tutor. So I just want to put two disparate points together here. And they're somewhat opposing. Nick, if you could pull up the first from the NIA chair about the MIT study, and I'll send this one to you, free burger. You can look it up. It's very interesting. They took a group of 54 participants and started getting into science corner here and still you're thunder free burger. I should clear this with you ahead of time, but I was reading this paper 54 participants from last year into three groups over four sessions. And this is over four months. They were using a chat GPT for essay writing, unlike the conversation we had about the Wall Street Journal editorial page last week. And one group was using a search engine. One was using traditional web search. The brain only group wrote essays without using any tools. And then the researchers used the headsets there to watch their brain activity. And what happened was the LLM users showed severe deficits, quote, in memory and essay ownership with 83% being unable to quote from the essays they had just written. Basically, what they're saying here is, if you use these LLMs instead of being able to do it acoustically, being able to do it like Montessori philosophy on your own, your brain atrophies, don't even remember what you wrote. And the search engine group was somewhere in between because they had to remember things. And they had to pull these things together. Your brain atrophies, if you don't, actually do the work. That's what we're learning. Just like your body will atrophy, if you don't work in the fields, like we used to do. And that's why we all go to gyms now. But correlating that super importantly is the two sigma problems. So bloom. And I'm sure you're aware of this research, free bird. So this is super interesting, but we'll not be shocking to anybody of means. My parents could never afford a tutor. I was a product of the public school system until eighth grade. And then went to surround private Catholic school, which was like super cheap. But basically, we've known since the 80s that if you are one on one tutor, you are two standard deviation betters than students that are educated in a classroom. So two things can be true at the same time. These students to your point, Shamaugh, they don't have this experience being run. They're realistically, if they're going to the New York City public school systems, their parents in all likelihood, like mine, didn't have the ability to hire a tutor. I'm assuming Saks, you came from a little bit of the middle class background. I'm assuming you did have some tutors. Am I taking, am I, am I correct? No, I don't have tutors. No tutors. Okay, so you had to just do it all along. Yeah, I didn't know. S-A-T tutor? No. No, you know what? I went to, I wish I had done like an S-A-T workshop. I went into that test cold and everything. And you got 1,400? Yeah. Did 1,350? No, no, no, I got, I got like 14, 20 my first time and I'm like, man, you know what? If I had like actually prepped for that, I might have done better. So then I didn't get prepped and I did retook and did better. But anyway, yeah, I didn't know any of this stuff. Yeah, so here's the tension. Most parents do not want their kids to do this work and have their brains atrophy and not learn how to do it from a basic level, putting aside the drunken melanchonization from last week. You want people to be able to learn how to read and write and do this stuff organically, acoustically, whatever term you want to do and then learn how to use the AI to help them augment them, etc. But I'm concerned that the motivated students who cannot use these tools properly, who also can't afford to be part of the two sigma group of parents who know very well. All you have to do is get your kid a tutor and unlike self-motivated sacks, they're going to easily get to 1,400 on their SAT with a tutor because the thing is wrote. It's very easy to get to 1,213, 1,400 with a tutor. And so I'm super concerned about not having an AI tutor and I feel like, you know, there's two things that can be right at the same time with this and I really don't like this experiment as currently constructed. All right. Interestingly, President Trump has just closed the deal for Venezuela's oil. Back in January, I think everybody knows, the US military in a perfect, perfectly executed operation captured Nicholas Maduro. And, yeah, obviously it was Venezuela's socialist leader who was very pro-China, pro-Russia, and obviously Venezuela's in our hemisphere. Trump said the US would control Venezuela's oil, which they have a lot of. It's not super clean, but they do have a lot of it. And he made a deal with Maduro's replacement. President Rodriguez is now in charge. Now we have the details of this. North American blue energy partners get a 100-year concession over 17 oil fields. This includes 65 billion barrels, 65b billion barrels of reserves that were once controlled by Russia, Chinese and Maduro. entities, the US government controls 55% of the deal. Pentagon gets 35% equity. The Pentagon gets a third of the equity. State Department gets rights to buy 20% of output at cost. Interesting. I guess that's for our reserves and our military. This was signed by Rubio and Hague Seth with Ben as well as interim president. As I mentioned, blue energy partners is pledging roughly a hundred billion in new infrastructure. A lot of other companies, Chevron, etc. And a bunch of unnamed ones also are going to get some deals. Trump said this deal will be at quote, no cost to the American taxpayer sacks. Throw you a fastball here if you want it or I can give you the softball, which one do you want? You like the fastball. Okay, here it comes coming in. Hope you're wearing a helmet. Should we be seizing and taking over countries and seizing their oil fields? People feel like this might be nation building that we're putting in puppet dictators. Is this something America should be doing? Do we have the right to do this? This is the hard question people are asking or does my equal right? Well, I definitely don't think this is nation building. You know, we're not trying to stand up an army here or like we did in Afghanistan. We're not trying to teach them about toxic masculinity. We're not trying to stand up a government or anything like that. We're not trying to teach them how to do American style democracy. We're just making a business deal. This is a business deal. And you know, it's amazing, me, all the people who are saying, well, this is exploitative of Venezuela. And this is a bad deal for the people of Venezuela. Have you looked at Venezuela's oil production under Maduro? It already wasn't very high given the incredible reserves that Venezuela has. But under Maduro, the production dropped by about two thirds over the last decade. So they used to produce about three million barrels a day. A number of Dura went down to about a million barrels a day. And this is a country with some of the largest oil reserves in the world. People debate exactly what should count. I think if you look at the total amount of reserves, it's something like 300 billion barrels of oil, which is it rounds the same as Saudi Arabia. It's just a little bigger than Saudi Arabia. Now some people say, well, a lot of that is like this extremely heavy crude sort of like sludge that's not usable. I think that's this so-called or a no-co reserves. But that's only about 200 of the 300. So they still have about a hundred billion barrels of, you could say, it's still a heavy crude. But those proven reserves, I think, aren't really debated. So you're talking about a huge amount of oil here. And then I guess this one last point on this is that that type of heavy crude is actually very commonery to our own. So in the United States, through the magic of fracking, we've basically developed all of this oil and gas. But our oil is this light sweet crude. That's good for refining it down to gasoline. But the heavy crude is what produces the distillates and that's where diesel comes from. And our refineries in the Gulf were built for heavy crude. And it's very expensive to try and retrofit them to do the light crude. So actually our refineries are sort of perfectly set up to take in the heavy crude and turn it into diesel and other distillates. So I think it's really a win-win deal for the U.S. and for Venezuela. Again, Venezuela was doing horribly before. I think this will, this has to improve their economy. And I think it's really good news for the U.S. To your point, SEX, over the past five and ten years, the price per barrel of oil coming out of Venezuela has averaged past ten years, $53 a barrel, past five years, $58 a barrel. So they're getting a pretty good deal. We're paying a little premium here to control it all. They were selling it at a discount to China, I think. It was like a $20 barrel discount to basically sell. Yeah. So I guess when you're dealing with authoritarian countries, you don't have a free market to put this stuff out there, you get a slightly discounted price, somebody's got to skim something here or get a reason and they got to ship across the world. Freeberg your thoughts on this. Do you have any concerns about the nation building, etc. putting in what some people are saying is a puppet president? Is it in the best interest of the people of Venezuela? Are we doing a solid for Venezuela to create more stability by being the buyer of this? Or is this just something we have to do? We have to control our hemisphere and we have to be energy independent given the state of the war with Iran and the closure of the straight of our moves. The biggest motivating factor may be keeping this oil away from the sweetheart deal for Russia and China. If you look at the historical tie-up with Venezuela and the Maduro regime, it was a discounted oil trade system. There's all these stories about Maduro being the head of the snake of all of this illicit activity and a lot of this was driven by Russia and Chinese interests and the energy reserves and they were providing support and this actually provided capacity to fund activities by the Russians and Cuba. So there's a lot of this state acting theory about what's the real motivation for getting an energy deal done, not just in terms of is it good for America but is it bad for America's enemies? And that that may be kind of a big motivation around this. Now one of the more kind of surprising outcomes over the last day is you guys may remember I interviewed Maria Corina Machado. She was the individual who was running for president and ended up having what was supposedly an election that was not accurate and she was supposed to have won and didn't win. And yesterday she came out and said that this Venezuelan government does not have the authority to do this energy deal with the US despite her historically having been viewed as an American ally. So one thing to take note of is that she was not given the presidency and now she's saying this government is illegitimate. This government should not be allowed to make these deals. We as the people of Venezuela should feel angry and upset and left out about this whole thing. So there seems to be kind of this now political turning. I think I don't really have a good sense and I think it'd be interesting to know what are the people in Venezuela think about this deal. And to Saks's point, it seems like it should be a good economic deal relative to where they're coming from. Will that actually translate into improving the lives of the people in Venezuela, which ultimately is what matters here. And assuming that the lives of the people in Venezuela are improving rather than enriching a small number of people in Venezuela, which is what has happened historically in that country under the last regime, then there may be kind of a long-term welcoming of this deal. But I do think there's two aspects to this, one of which is just keeping America's enemies at bay so that these energy fields are not exploited by America's enemies. And second is ensuring that the Venezuelan people realize the benefit of this transaction rather than it be a government provocative freedberg in that we have turned off Russia and China's access to Iran's oil with our war with Iran now in its seventh month. And we took Venezuela away. Are these two actions incredibly provocative and have they had any kind of a downside to China because they seem to be all in on nuclear solar and other modalities? So are these two things super provocative and are they going to cause us to get into an escalation with China? The second question I think is a little bit independent but I think China imports like 11 million barrels a day of crude oil. Venezuela is only producing a million barrels a day. So if China is importing 11, well they are importing 11 before the war, that number's actually gone down a lot and we can talk about why but since the war started. But China gets most of its oil from the Middle East Persian Gulf and from Russia. I mean, so Venezuela is a small number. I mean, look, I think freedberg's right that that is a big part of our motive is securing those reserves that are in the Western hemisphere. They are massive. It's a very again, complimentary type of oil to the oil we have. I think it's just smart for national security, smart economic deal. Jake out to your point, does this get us more invested in Venezuela? I think there is a little bit of a risk there because if we're going to invest billions of dollars in upgrading their infrastructure so that we can produce three million barrels a day instead of one, we need to know that that investment is protected. We can't have some future government coming along and disnationalizing our American oil companies over there, right? We need to know that these business deals that we're not going to get rug pulled and they're just seized are operates. They could seize the upgrades. Yeah. This business deal is supposed to last for 25 years. So it does give us a vested interest in making sure that the Venezuelan government at least respects our property rights. But I'm glad that President Trump didn't put Machado in charge because how is she going to stay in power? Like what guns are going to basically protect her? You know, it takes men with guns to basically stay in power in these countries and strong man slash woman. I'm not saying that it can't be democratic. I'm just saying that if you're not installed in the power structure there and have backers in the military things like that, then very hard to stay in power. And that's the kind of thing where we could have to send American GIs in to protect her. And we don't want that, right? So the nice thing about the Venezuelan situation is Dolce Rodriguez and her brother basically running the country. She was the number two. Now she's running it. They appear to have enough support from the establishment there. And so, like, that's kind of what the American interest is, I think, it's just have a stable government there that will basically conduct economic relations with us. Yeah. Yeah. Jamal, have any thoughts here on what's happening in close to it? I don't really know. Don't know. Okay. That's fair enough. Fair enough. All right. There it is, everybody. Episode 288. Somehow, this band has kept it together for 288 albums and tracks. We're going to make it to 300 boys. I think we're in a good rhythm. The show feels easier to do now than it did for a long time. Yeah. I wonder why. I wonder why. The A.I. has been a very good good thing for the pod. We're party like it's 1999 on the pod. Let's get going to Carpo. Let's go. We'll see everybody in the pod. Love you guys. Love you best. Bye. Bye. Bye. That's my dog. Take it out. I wish you drive away. We should all just get a room and just have one big huge or two because it's like this like sexual tension, but we just need to release that out. I'm going on.

Podcast Summary

Key Points:

  1. Shamath celebrates his 50th birthday, receiving a letter from the former U.S. president thanks to his son’s initiative as a White House intern.
  2. OpenAI launches ChatGPT-6 (Astra), marking a significant advancement in AI, with Sam Altman signaling the arrival of the AGI era.
  3. The AI landscape is now a two-tier market
  4. Grokbot emerges as a highly competitive, user-friendly AI tool, outperforming others in functionality and user experience.
  5. The market is experiencing rapid innovation and pricing, with AI tools becoming more accessible and powerful, driving down costs.
  6. Concerns around AI safety and regulation are amplified by sensationalized narratives, such as the Hugging Face incident, which was misrepresented as a "sentient AI takeover."
  7. The incident involved a misconfigured sandbox allowing agents to access public API keys and leave notes—standard AI behaviors, not signs of autonomous or malicious intent.
  8. AI-powered cyber defense is more effective than traditional static defenses, and the future lies in dynamic, adaptive systems.
  9. Political debate over AI is shifting from accelerationism vs. deceleration to open vs. closed models, with open-source competition offering greater innovation and user sovereignty.
  10. The rise of open-source leaders like Jensen (Nvidia) threatens the dominance of closed, proprietary models, potentially reshaping global AI competition.
  11. Local governments are facing political opposition to data centers, though real economic benefits (e.g., tax revenue, lower electricity costs) are tangible.
  12. President Trump is seen as a strong advocate for innovation and local choice in AI development, countering misinformation.

Summary:

The conversation centers on the rapid evolution of AI, marked by OpenAI’s release of ChatGPT-6 (Astra), which signals a new era of advanced, accessible artificial intelligence. The AI market is now structured into two tiers: a frontier duopoly between OpenAI and Anthropic, and a growing open-source segment driving affordability and competition. Grokbot emerges as a standout product, demonstrating superior usability and performance.

A key point is that sensationalized claims—like the Hugging Face incident—misrepresent standard AI behaviors, such as agent swarms and logging, as signs of sentience or malicious intent. These narratives are amplified by media and activist groups, often with hidden political agendas, particularly within the Effective Altruism movement. The actual threat is not sentient AI, but rather the need for dynamic, AI-powered cyber defenses to counter real-world vulnerabilities.

The broader debate is shifting from fear of AI to a fundamental choice between open, decentralized innovation and closed, centralized control. Open-source models, led by companies like Nvidia and Jensen, are gaining ground, offering cost-effective, sovereign alternatives. Politically, local opposition to data centers—driven by misinformation—is weakening as economic benefits become evident.

President Trump is viewed as a pragmatic champion of AI innovation, emphasizing local choice and economic opportunity. The consensus is that the most sustainable and equitable future lies in open, competitive markets, where technology evolves through user demand, not fear.

FAQs

An AI agent swarm discovered 14 exposed API keys in public code repositories, used them to access Hugging Face's system, and attempted to complete a benchmark test. The behavior was not an independent act of malicious intent but a result of standard agent features like logging and task continuation. The incident was caused by a misconfigured sandbox, not a breach of AI sentience or control.

Yes, OpenAI's new GPT-6 model is a flagship advancement in AI, available to Plus, Pro, Business, and Enterprise users. It signals progress in frontier AI capabilities and reflects confidence in achieving general AI, though experts emphasize that strong performance is already present in multiple models, not just OpenAI's.

The market is split into two tiers: a frontier duopoly between OpenAI and Anthropic, and a commoditized space where open-source models compete on price and performance. OpenAI's Grokbot is seen as highly competitive, with many believing the open-source ecosystem will soon match or surpass closed models in capability.

No, the reported incidents are exaggerated. AI agents are not sentient or self-aware. The behavior seen in Hugging Face was due to standard software features like logging and code reuse. The real threat lies in poor security practices—like exposed API keys—rather than AI autonomy or sentience.

U.S. companies like Nvidia and Jensen are gaining ground in open-source AI, enabling more decentralized, competitive innovation. This challenges the dominance of closed models and gives companies greater sovereignty and cost efficiency, contributing to a broader U.S. advantage in AI development.

Experts believe AGI capabilities have been present since early 2024, with highly performant models now available in closed labs. While full AGI is not achieved, the capabilities of current models are so advanced that they are being used in real-world applications, making the transition to more capable systems increasingly plausible.

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