Into the Impossible With Brian Keating - AI That Helps, Schools That Don't, and How Not to Go Crazy on The James Altucher Show

Episode Date: November 24, 2025

James sits down with astrophysicist Brian Keating for a candid, useful tour through three hot zones: how to think about AI (and where it actually helps), what’s broken in higher ed and admissions right now, and why outsourcing your mood to politics is a losing strategy. You’ll hear first-hand stories (from UC San Diego classrooms to New York City politics), specific ways James and Brian really use AI daily, and a simple framework for protecting your attention and happiness—even when everything feels polarized. What You’ll Learn: How universities can leverage AI-guided curiosity to revolutionize learning, according to James Altucher's vision for "Altucher University." Why mastering communication skills—writing, speaking, negotiating—is crucial for career success, and why these skills are often neglected in traditional education. Firsthand insights into how Brian Keating and James Altucher use AI daily for research, problem-solving, and creativity, along with practical examples from their personal and professional lives. The economic and philosophical debates around AI's actual impact on industries, jobs, and the broader GDP, including its use in coding, media, and even farming. The limitations of AI and large language models in science and creative work, and why critical thinking and prompt engineering remain essential—even as technology evolves. Timestamped Chapters: 00:00 "AI Clarifies Venezuela Questions" 05:59 Venezuela News Omission 07:45 Frustrating Academia Raise Policy 11:54 Collaboration and Engagement Terms 14:23 "Ideas Overload Dilutes Impact" 19:11 Economic Efficiency Benefits All 19:49 Automation's Effect on Jobs 23:43 "Decentralized AI Competition" 27:09 "AI's Rapid Growth" 31:39 Copyright Limits Creativity 33:17 AI Book Recommendations 38:38 "AI Won't Replace Writers" 41:01 "Dumb Takes by Geniuses" 44:39 Content Overload Shift 47:47 Self-Publishing Outperforms Traditional 49:05 Dying Publishing Model 54:21 "Nobel Laureates' Impact Explained" 57:49 "Epstein, Trump, Wishcasting" 59:37 "Thrills Free on Pluto TV" Additional resources: 📚 Target Earth by Govert Schilling: https://a.co/5uCEmZi ➡️ My new book: 📖 Into the Impossible Volume 2: Focus Like a Nobel Prize Winner: Lessons from Laureates to Concentrate Your Creativity and Ignite Your Career: https://a.co/d/hi50U9U ➡️ Follow me on your fav platforms: ✖️ Twitter: https://twitter.com/DrBrianKeating 🔔 YouTube: https://www.youtube.com/DrBrianKeating?sub_confirmation=1 📝 Join my mailing list: https://briankeating.com/list ✍️ Check out my blog: https://briankeating.com/cosmic-musings/ 🎙️ Follow my podcast: https://briankeating.com/podcast Learn more about your ad choices. Visit megaphone.fm/adchoices

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While supplies last, ends June 30th, terms at AKA.m.m.S. This isn't your average business podcast, and he's not your average host. This is the James Altasurer show. What's Altutcher University? If you have a university, what's going to be in it, James? What do you mandate to teach, Chas? I mean, be thoughtful about it.

What would you teach at a university? You have complete control as the president of them. Yeah, so I think a 90% would be motivated purely by what you're interested in and using AI to guide you and focus your curiosity. And the professor's seeing what your, you know, where your plateaus are, where your, you know, what your questions are, what you're interested in. And the professor could guide and direct you according to your curiosity.

But I also think the most important things that helped me in my career, literally has made every success for me, is communication abilities. So ability to write well, speak well, think logically, steal man your arguments, the ability to negotiate, the ability, you know, all of these communication skills are 100% the secret to success, as well as the psychology of entrepreneurship, money, these things that are never taught in college that are so important for success. But if I'm not curious about biology, but I take a biology class, I'm going to remember

zero afterwards. So there's no point. So you have to, it really has to be motivated by what you're interested in what you're curious about. The great thing is, someone could be listening this and say, oh, I don't know who Mamdani is. And then you use chat GPT and like, oh, well, did he really say, why would he say he's African American on his college application? Did he really say globalize the infantata, you know, and where did he say it? What's the context? What does that statement mean? Is it really true what James is saying about? It's in the Hamas, you know, founding charter. So now you can have your curiosity guide you. And the AI is much better than just Google for answering these questions. How are you using AI?

because I heard your conversation with Ryan Holiday and you guys focused on what AI is not good for and why humans are safe for now, which I agree with. I fully agree that even in science, AI is completely underwhelming. I think we're on the verge of a huge

bubble pop. Does Robin use AI every day? Yeah, I use AI 20 times a day. Me too. But does Robin? Yes, 100%. Okay. So for instance, right now, there's a bunch of battleships and aircraft carriers and 15,000 troops

surrounding Venezuela. So I don't really know anything about the Venezuelan political situation. So I asked, what spurred the reign of Chavez? When did, you know, I didn't know anything. When did it start? How did he get so, how did he become the leader?

And then Madero, what was his background? What does he really believe in? What has he done, you know, to the Venezuelan people? And then what companies, as an investor, what companies in the U.S. or how might the U.S. benefit if there's a regime, regime change in Venezuela. So AI is really great for this, as opposed to taking my chances, Google gives me, here's 10 sites. A lot of those sites are just bullshit sites, and I have to figure

it out. AI is really good at giving me really great answers. And then if I'm curious, well, I don't understand, like, you know, did Medera really do social? What's the difference between socialism and fascism? Was Mandera a socialist or a fascist? And, you know, AI is really good at taking hundreds of sources and compiling it together into something and then I can ask dumb questions because I don't know, a lot of people know this stuff like it's secondhand to them, I don't know anything

so I can ask dumb questions and not being afraid to ask. I'm just following my curiosity. I don't know. I use it hundreds of times a day probably. Everything from contracts or I'm thinking of switching to a podcast network and is that going to save time and, you know, so I can develop models. I'm looking at my AI history.

So I'm seeing, okay, U.S. China tariffs. What have been the history of U.S. China tariffs? Now, I've written a lot about this. I've done a lot of research. But, okay, just give me a timeline. Okay, oh, and then I'll ask. Oh, in 2017, we put steel tariffs on what was the result in jobs increase or decrease in the U.S.? What was the result on the market?

Okay, so that was one question. I have here tell me. me about this is related to you tell me about the relationship between photonic computing and quantum computing so that i asked ai rather than read myself a bunch of research papers i can't understand um i asked about uh oh new new york city voter turnout in yesterday's elections how i learned that 30 percent of the uh jews who voted vote for mom dani uh i asked about um i didn't know everyone's talking about vote for prop 50 and California. I didn't know what Prop 50 was. So explain to me, California Proposition 50. Oh,

don't they realize this is against blah, blah, blah. Oh, but here's this Texas thing that they're comparing themselves to. Right. You know, so everything I'm interested in, I'm asked. And then I know it. Now I know it. Like now I'm able to say, you know, because I check the sources too, because the AI links to the sources, I'm able to say, oh, 30% of these people voted for Mamdani. And now I know Proposition 50, and they've suspended their California Constitution for two years just because they want to get back at Texas for doing something similar to Prop 50. It's so evil that they have to do it and do it hard. Even if Texas doesn't do it, they took out that provision. Right, right. There's all this bullshit stuff, but then you find out. If I had just read about it, I could have... Yeah, do you even read the news? I mean, I don't read the news. I knew all this stuff. I know all this stuff in New York City. I don't live in New York City. I knew about it. You know about this stuff in California. You don't live in Gulf.

And, you know, but it's interesting because the Venezuela thing, I did look on the news and I couldn't find anything. And yet, we have 15,000 troops who have moved to be surrounding Venezuela. So for whatever reason, the news is not reporting on this. And yet it's probably the most important geopolitical thing happening for America, at least right now. Because as, and I know this from AI, Rio, you know, Machada, who won the Nobel Peace Prize a few months ago, as literally said to Trump, we've got $1.7 trillion in. assets here, come and get it. And so all this stuff I'm learning from AI. And I'm not ashamed to say it. Like I wouldn't have known it. I wouldn't have known where to look and so on.

The thing is like these people like, I asked my, first of all, I asked my students in the first day I had class, I said, you're allowed to use any resource you like, a human or silicon for anything, including the homework solutions. I don't care how many. Because like, it's like telling your daughter, you know, it's okay if you, you know, drink while you're in college, if you're 21. You know, Like, she's going to do it no matter what you say, but at least now if she over drinks, she's going to come and tell you, right? So I said, but you won't be allowed to use anything on the exam.

So there's three major exams that count for 50% of your grade, as well as the homework counts 50%. So, like, yes, you could rely on it. And I said, just out of curiosity, how many of your professors allow you to use AI? And none of them raised their hand. I'm like, this is like child abuse, you know, student abuse. I think it's so, we're not only crippling their ability to do research and,

we're preventing them from competing in the real world once they graduate against people who are. But it wasn't just UCSD. I don't want you to think I'm dumping on UCSD. I love it. It's my, you know, I couldn't be anywhere. Like, I got an offer to go to an Ivy League school a couple of years back. I didn't even like bring it to my chair. We have the stupid policy here that the only time they would give you a raise, if I wanted a raise,

I basically have to tell them, not only do I have a job offer from, you know, Cornell or Dartmouth or whatever, but here it is in writing. In other words, I have to go so far down the rabbit, which takes a long time in academia to get a job offer. First of all, they have to have a position, the money, the startup. It's millions of dollars of commitment. It's a lifetime appointment for somebody like me. And so this takes six to eight months of another university doing.

And by that time, there's so much sunk cost into it that you're going to leave. A lot of my friends who did leave UCSD, they went to Stanford and other places. they went through the process because they didn't nip it in the butt at UCST. They could have kept the person if they didn't have this stupid policy. So we have a lot of stupid policy. One of my other favorite things is I cannot have an office as a professor that's bigger than the office of a state assembly member. That's actually part of the constitution of the UC.

It's so petty. And that actually dates back to probably Ronald Reagan or something like that. But it's still enforced and they still do enforce it. So I went to Princeton. And I asked my good friends and colleagues there. They're like, no, we don't let them use AI. It's like cheating. They won't learn it the real way.

I'm like, how do you know what the real way is? Their minds are so adaptable and malleable. And you didn't know about AI when you were like eight years ago. And now you're telling them that they can't use it in their career, which can last the next 60 years. Like, that's really a lot of hutzpah. Right now, I think there's an amazing kind of career arbitrage that can happen, which is the people who are,

are using AI. And by the way, you don't need any expertise to use AI. You just need to open up chat GPT or GROC or whatever you want and ask questions. The only skill you need is the ability to ask questions. And people who are using AI and not afraid to use it have a significant advantage over the people who don't use AI. Absolutely. You know, like I was in a debate a few weeks ago. It was a Bitcoin versus gold. I was on the Bitcoin side, obviously arguing for Bitcoin. And my opponent in this debate was arguing for gold. And it was on a stage in front of a thousand people. And I heard in just conversation that this guy I was going to debate said Tether,

the biggest stable coin, has never been audited. Okay, I didn't know that. And I didn't really know who to ask to confirm this. So I asked AI. And it gave me real details about the difference between an audit and what Tether does, which is basically the same thing. And I was able to understand the subtleties of what was going on. So I was able to address this if it had come up in the debate, which it didn't.

And it took me two seconds. My knowledge of crypto, I'm a crypto expert in general, but I didn't know this one question. I knew that their assets had been confirmed, but I didn't know officially what was the official mechanism that they confirmed them. So that's why I asked the question. And so now I know the official mechanism. Now I can answer this question. And it wasn't much different than what I thought, but now I know specifically.

Now, you have to be careful. Yeah. But that brings up an error. I do research the source and see that it's accurate because I don't want to be fooled by any AI hallucinations. But that's part of the thing, James. You're doing the right thing. But that's part of the vitality and the urgency that we have to teach students how to use it right now. So, for example, I go to chat GPT. I say, what books is Brian Keating written comes back losing the Nobel Prize into the impossible, Galileo's dialogue, and a brief history of time? And I'm like, oh, that's really nice, you know, chat shows. I hope I, do I get like 1% of the revenue of the book sales, you know, residual? No, I didn't write that.

Stephen Hawking. So not only does it flatter you, it hallucinates, it's sycophantic. So I get an email a day now with a theory of everything. And the reason that I get so many, I has exploded since chat GPT. And what happens is these people have these ideas. They're earnest. They're well-meaning. And they send me an email and they say, you know, Professor Keating, you know,

I value you so much. You do such good work. Here's my theory of everything. I think it changes everything. I'm willing to have you as a collaborator. I won't share the number of prizes with you. And here's the deal. Just to prove to you that I'm right, chat GPT's output, you know, an evaluation and 600 different parameters, I literally had a guy I talked to.

So what I started to do, James, as I have an auto reply on my phone. And when you write me with your theories of everything, that's great. I say, thank you for your email due to extreme, overload at work, I can only engage with you for $1,000 an hour for private consulting, or you can join my group chat once a month on YouTube I host for $20 an hour, for $20 a month, which is a good deal compared to $1,000 an hour. And the $1 an hour goes to charity, a 501c3, either the UCSD has a food pantry for

students that can't afford food. Can you imagine you go to college, but you can't afford food? So there's a food pantry on campus, and then there's a Jewish organization called Habada on campus. And I've had a dozen, half dozen people. I made thousands of dollars for charity. I don't take it for myself. And that gets rid of about 90% of it. But I still have a lot of people, James, that are coming through. And it's all because, you know, chat Chabit is telling them that they've solved everything from entropy, the hour of time, dark matter, dark energy. And they have to get this to the world. And they're very earnest about it. But before, you know, Chachabit, if I had said something like that, no one would have put

their money because they wouldn't have been in any confidence in it. Now it's giving him this false bravado that they're the next Einstein. And the probability of that is, I always say to each one, because at the end of each hour, they always say, like, I want to talk to you longer. Let's keep going. And I'm like, well, I learned from my friend who's a psychotherapist, you always end at 50 minutes, not an hour so that you can start wrapping up. And then, you know, you say, my time is like this. And now I just send them, like, they say, like, nobody else is as smart as me. I say, oh, yeah, well, here's 10 other people that wrote me this week. I took out. their names. But here's what their theories of everything are. Here's the chat GPT validation.

And, you know, how would you respond if you're me? Oh, well, I'm right. You know, so I'm like, the next hour goes up to 2000. And then it's just going to keep doubling and doubling. And if they want to, you know, they want to pay $64,000 per hour, you know, to donate to the food pantry. I'm all, I'm here for it. That's funny. So some people have, have paid. And as anybody's, has anybody, I mean, obviously nobody's theory probably holds up to the math, but has anybody's theory even conceptually made sense? It's hard to say. I mean, they're often extremely convoluted,

and they all have a common theme, which is that they try to solve everything from, like I said, from dark matter, dark energy, entropy, the hour of time, the ontology of quantum mechanics, everything. And there's like, imagine Einstein, in 1905, Einstein published four separate papers.

And I'm, you know, Brownian Motion, the photoelectric effect, the theory of relativity. And one other than I'm blanking on, but it's embarrassing. But anyway, I'm convinced if he published all four at once, you wouldn't know his name. Because it's just too much.

Like proving the existence of molecules, describing a photon, talking about things moving relativistically, electrodynamics of, you know, all these things that he did, nobody would believe, you know, you just couldn't take it seriously. And he was very smart. He didn't have chat GPT. and he just broke it into

easily, you know, digestible, you know, kind of core puzzles. And that was then magnified the response. And still he didn't win the Nobel Prize for 17 years because, you know, people that invented the gas regulator for the lighthouse and buoys, you know, that was just a much more important invention than the theory of relativity, as you know.

Ambition comes in all shapes and sizes. At First Citizens Bank, we roll with your goals because we're built for what you're building. fit for your ambition for citizens bank you know it's it's so fascinating though you're right so so AI is a tool right and you just you need some basic skills so maybe I'm wrong when I say oh you just need to ask questions because you can you're right AI does want to please yeah AI wants to please the user so so sometimes it says what you want to hear that's why you have to you do you do but but AI will give you the sources so it's easy to do but you have to check it that's part of the

process of using AI kind of responsibly. And that's what I teach my students. Even my kids, you know, my kids love it. They'll never know a world that AI didn't exist in. And now, do I think it's going to be, you know, contribute, I read somewhere that, you know, the imputed value of AI in the world economy is like five, at least five trillion dollars. I mean, Nvidia's worth five trillion dollars, right? So it has to be more than that. Let's say you put a multiple on that of 10x. Like it has to be at least, you know, like Apple contributes more than $2 trillion to the world economy over its lifetime, right? It's probably close to $10 or $20 trillion because of all the things that enables and apps.

But in other words, how much does AI contribute to GDP in billions or trillions of dollars right now? Right now, I think it's hard to say, but let's say over the next five years, it'll probably be $30 to $50 trillion. So I wonder how you get that valuation because you just look at like everybody, you know, Apple's committed to spending $600 billion and Vidae is committed to spending $600 billion. And all this is on data centers and, you know, AI compute and inference. You know, TSM is building factories here. By the way, then you have every company, let's say, in the Fortune 500, is going to, you know, be 10% profitable. I think that's more than the Internet. I think that's like more than the Internet has contributed.

Yeah, AI is going to be, AI is definitely going to be bigger for society. But how is that? I mean, do you feel like you have a bias, you know, because you have a survivorship bias. You know how it works. You use it effectively. you know it's limitations, you know, it's, you know, fallacies. That might be, but like 10 minutes before this podcast. Even my student doesn't know.

Like, even a top student, like, they don't know how to use it. Like a junior in college at a top university in the world, they have no idea how to use it or what it's for. And there's so many different kinds of it. And, well, I didn't tell you the answer. So this comes from Aswat the Motor and is a famous professor at NYU, although like Scott Galloway, your friend, Scott Galloway, who ghosted me many years ago.

I have a book right in front of me. Did not come on the show. Is he coming on your show? Well, he's come on like seven times before. Jay, as Scott Galloway responded to you. I think he's too big for his... On notes on being a man. Somehow these guys are teachers,

but they don't live in the city where they teach. Anyway, so he says something like the amount of actual... current actual revenue is under $50 billion. In other words, it's like 100 X. But okay, but that's like he's just looking, I don't really think of AI as just chat GPT and, you know, GROC and all that.

He took everything. He took, you know, deep seek. He took and, you know, the training did. Did he take Tyson Foods tractors? Because some percentage of that now, they use AI to more efficiently spray pesticides and they have self-driving tractors. Sure, but that's going to reduce the tractor inspector.

It's going to take some GDP away as well, right? Because the tractor inspector, or like, look at, lawyers, let's say every lawyer is replaced by shot jbt. Is that not positive for GDP or is that negative? Yes, it's going to be a net positive because by 100x? I don't know. No, no, but it might be, you know, it's a net positive and take the farmer who used to ride the tractor and buy more pesticide. Now he's got more money and more time. And what will he do with that money and time? Well, he's an entrepreneurial person. He's got his farm that he that he, you know, harvest and sells the products and so on. So he's going to,

uses time and money more efficiently, and he's going to be probably a better allocator of that money in time than, you know, he would have been otherwise. So he'll start other businesses or buy other things that allow other people to start other businesses. Ultimately, we don't know the net result of this sort of economic velocity, but it will be a net positive. I'm sure of it. You know, like kiosks at at McDonald's or something like that. Not that I go there, but, but, you know, like it's taken away. Actually, don't go to McDonald's, but it's taken away. I go to a healthy place like Dunkin' Donuts, as you see my coffee cup over here.

So, you know, it's taken away a lot of entry-level jobs and stuff like that. Right. So in that sense, like, you know, was it net accretive or not? I'd save money for McDonald's. But like, so anyway, there's two different things. It can either save money, reduce, you know, kind of expenditures, costs, and payroll and stuff like that, which is, I agree that benefits. But you can't cut your way to profit. Like, if you don't have a profit, you're not, you can't have a big, your profit if you just keep reducing your expenses to zero.

So then it has to leverage things. I just think, you know, I tend to be biased by something when I like a product or whatever. It's very different than, you know, it's like. Yes. And Anna, and it's not like we haven't had it. We've had chatbots. We've had, you know, AI assistance. Remember the Microsoft paperclip, you know, we've had things that help us, you know, for a long time.

And these are markedly better. But, like, are you deploying agents to do coding, you know, project, and like, how many coding projects do you have? Like, I have one or two. Like, again, we are unusual because we, you know, I can analyze data, but like my neighbor who does like insurance adjustments, you know, and stuff like that, again, he might be able to like model something that he couldn't do before. But, you know, is that 100x what the KAPX is currently?

Anyway, I know it's not what you want. We don't. No, no, we don't know. But look, this is an area that I am very familiar with. And so I need an AI assistant to keep reminding me of all the conversations around me. I have this pendant that records everything that I say. I forgot to put it on today. That's the other problem.

But I just had a podcast right before this one where I was talking to these two guys who had created a company to do special effects using AI, do special effects on Hollywood movies. And that, you know, each scene now costs one-tenth the price. So you're talking about instead of having a $100 million budget for visual effects, you could have a $10 million budget now to make the same movie. So across all the movies, okay, it doesn't add up to trillions of dollars, but every industry now is using AI to improve profits. So you can, like a movie that would have been unprofitable,

can now be profitable because they reduce expenses using AI. And that does become a net positive because it does mean the studio can make more movies, hire more actors, hire more crew. And again, I'm not saying trillions. You have to kind of add up lots of small things to get to the trillions. But I think that is happening across every industry where money is being saved, and that means it's being more efficiently allocated towards new projects, hiring new employees. So 70% of the companies in the Fortune 500 have filled out a survey and said, yes, we're using AI.

But only 4% of those companies have said, oh, this has led to firing employees. So we haven't really seen the mass layoffs yet. We see the headlines of mass layoffs. We haven't seen countrywide mass layoffs. How do you justify, you know, Nvidia being worth? more than all the European stock markets put together. You know, just... And then if that, like...

And then let's say you took out one of their customer, like chat GPT, like, that could be the pinprick that pops everything, right? I mean, because, yes, they're going to... I mean, again, it's not like a consumer thing. Like, we don't buy the hopper chips. We pay for tokens. And then what if that goes to zero?

Like, the Chinese flooded the market with solar panels. In 2000... I remember solar panels was a hot new thing. In 2005, 2006, America is going to dominate and be great. And now there's not a single company in America that makes them. China barely makes a profit, but they make quality products. But now that market's totally gone.

With Deepseek, Deepseek costs 10 times less to train and to run per million tokens than Claude does. ChatGPT. A hundred percent, I agree with you about Deepseek. I think decentralized open source, general purpose inference, like a chat GPT, is much better done in the long run by a, decentralized open source platform like deep seek. So I think that any one industry, yes, I agree with you, open AI is probably overvalued. Who knows? I don't know. But it's certainly, you know,

up against some strong competitors that are one one hundredth the price like deep seek or mistral. There's plenty of open source decentralized AI competitors to open AI. So we don't know the answer there. And on NVIDIA, I agree with you. That might be overvalued only because, not because they're going to run out of the need for GPUs. Some other company might come up with something better than GPUs. And that's the risk you take when you're investor in NVIDIA because the demand is still there. This is what I've been waiting for. Look, I've done 1,500 podcasts, a ton of podcasts about health and particularly anti-aging.

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slash altiture your cells, well, thank you. You mentioned about AI coding. Well, Google and Microsoft have laid off thousands of programmers because they're using AI coding. And Cursor, which is the leader in the space right now, they are the fastest company in history to get to a billion in dollars in revenues. And their AI coding.

And their code is not perfect. Like you need programmers to go over it. But it reduces the time for a good Google programmer, it reduces their time and the amount of manpower and man hours needed to make a program by 90s. So it is valuable. And again, that's built on top of the anthropic platform and Claude, Cursor is. So there's going to be other these niche companies that get to a billion dollars in revenue super fast. That means, you know, if they get to a billion dollars in revenues, it's super fast like that.

They're probably worth, you know, I think actually cursor's valuation in the last fundraising was about $30 billion, which actually makes some sense because they're still growing at that rate. And, you know, that's where you start to build all this value is that the time to build things and the efficiency. using AI is really great. No, yeah, believe me, I know, but I just feel like the user base, you know, how many millions of people are going to use it. Yes, cursor and those things are very good, but it's also like quantum computing,

which eventually we'll talk about, maybe not even today because I have to teach quantum mechanics soon. But the, you know, quantum mechanical computers are extremely useful at discovering and optimizing the properties of quantum computers. Like they don't have tremendous Like there's no AI You know quantum computing

You know A secret killer app yet Now there are certain things that they're very good at And then the most famous one is like Encryption Decryption And and so forth But that might have like a really negative externality In that like it could compromise

You know like encryption schemes Including those used in TensorFlow and Bitcoin And other things like We get into that at some point Why is that the case? How does that work? Yeah. But but like okay I I agree.

And it feels almost like a similar bubble when you look at stock market valuations or private company valuations. But here's the one big difference. Quantum computers have zero, zero legitimate users. Now, there are research users and there are users who are trying to build better quantum computers, but there are zero users at the current moment other than research and kind of academic. Which isn't the case. Yeah.

Right. AI has two billion users just using like chat GPT and, you know, competitors to chat GPT. not counting the tractors spraying pesticides and all that kind of stuff using AI. So just 2 billion users on these general inference platforms, that's a real difference. I got to see your tractor. I mean, you keep talking about your tractor. You're a chicken farmer down there? What are you doing down there?

I need like AI to make the pickleball lines on my tennis courts. Yeah, that's a number one use case. I think that's how NVIDIA is going to stay in business. Now I'm not worried about my position, my one share of NVIDIA. I have this friend who, like, he's like this complete genius, like, programmer here. And just, like, he's got this whole idea for new, new types of AI that's, like, different from diffusion. It's like diffusion plus, like, branch and network theory, like graph theory, like Stephen Wilfram works on and stuff like that. It's this revolutionary thing.

He told me to buy Nvidia in, like, 2019. And he's, like, almost broke. I'm just like this guy I mean literally if he bought like a hundred shares you know when it was like a thousand dollars you know that would have been a thousand dollars like he could have been I don't know how I'm just going to

but we could ask AI but like he'd be like well off and now he's totally you know like I feel bad for the guy and I'm like I didn't I didn't really take your take your advice but that's sometimes the problem with it yeah I mean these these things have such abilities we impute to them these like almost

mythical magical magical powers including the power of the economy and and over science and physics. And that's why people have this misplaced trust, in my opinion, that their theories of everything are correct because they're vetted by, you know, Gemini or whatever. But like, but Gemini in the hands of a professional physicist is an extremely unusual, powerful tool.

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responsibly. Monopoly is a trademark of Hasbro. Hasbro is not a sponsor of this promotion. Yeah, because I mean, I would say that, and correct me if I'm wrong, I'll ask you the question. Like, I would say the difference between the guy pitching you the theory of everything and someone like you using chat chTPT is you won't ask leading questions so if i ask to chat chepti hey if i you know assume gravitons are influenced by gravity uh does that have make a theory of everything and if chat chit is going to say yes that's very astute like if you do this is so chat chachy p is going to like try to agree with me whereas you'll say you'll ask meaningful questions to give you more information So you can come to a conclusion.

You won't ask leading questions. You'll ask information-oriented questions. And I think that's a big difference in terms of how to use chat chit correctly. Yeah. No, and it is. And that is a huge form of leverage, which is, again, why I don't think that it should be really reconsidered by my colleagues.

And even like my fellow parents, you know, my daughter, one of my daughters is interested in making a song using Sona or whatever they. Yeah, soda. Yeah. So she's doing it. She's like, oh, make a song with like Taylor Swift singing about my friend, you know, Brittany and my friend Kaylee and Layla and whatever.

And then they're going to, you know, try to get me at recess and hit me with a dodgeball or whatever. And it comes like, I'm sorry, O'Alee, you can't get back to you on this. And we can't, sweetie, we can't deal with this. Because it violates copyright, you know, like not only is her name trademark, but like even her style, like Taylor Swift's style is trade. And that was like kind of revelation. But then she said, oh, okay, well, how do I get around it? So she asked chat GPT, well, like, what are like basically synonyms to describe Taylor Swift's voice perfectly to an LLM that isn't allowed to use? I helped her a little bit.

Yeah, but it's smart. And it came back and it was perfect. So what did she learn? She learned how to prompt. She learned that prompt engineering, you know, so to speak, which is an important skill. And she learned that, you know, as a kid. And now, you know, that's a lesson that she's not going to forget. And now she knows she can't do certain things. There's guardrails on it. She learned a tremendous amount. And I feel like... By the way, then she also learned Taylor Swift's style and maybe some music theory around Taylor Swift's, you know, what makes a pop song. And that's incredibly valuable. Taylor Swift is the, one of the best-selling artists of all time. So it's kind of incredibly valuable that she wouldn't have learned. I read, you know,

I wrote just in my Monday Magic mailing list where you can get it, Brian Keene.com slash mail or list. And I wrote about this new site that I found called book.sv. And all it does is give recommendations. I said, do you ever read a book, James, that you kind of wish you didn't read it because then you'd be able to read it for the first time? Like, I know you were like that with losing the Nobel Prize. But so it gives you recommendations of similar books.

It's pure AI. Oh, I love that. Recently I typed in, and you can put that in the show notes, James, or first put in my mailing list, Jay, and then put in book.sv. It's a great little thing. So, okay, so I put in, of course, you know, my books, but then I put in a choose yourself,

be happy, make millions live the dream. So what do you think are some comparable books, similar books to choose yourself? Besides the Choose Yourself Guide to Wealth. Okay, maybe Seth Godin's books it would recommend. Maybe something like the four-hour work week it would recommend. Yeah, it's got that. But here were some other ones that I, like, I didn't think about it first,

but then I read it and I was like, yeah, you're absolutely right. Turning Pro, Stephen Pressfield. Oh, yeah, absolutely. Scott Adams, how to fail at almost everything and still win big. Yeah, yeah. But these are books like if, like, and then Gary Vaynerchek, jab, jab, jab, right hook. So that's like, first I thought, well, it's just, it's just looking at the title. But then it has Josh Wait, Skin, the Art of Learning.

No, and these are all books that I've read pretty heavily, you know, either before or after reading, choose yourself. Yeah, mastery. Yeah, mastery. Yeah, Mastery with by Robert Green. So, yeah, all of these things were actually- Which one of Seth's books is most similar to your book, according to book.org.

I mean, I think he actually had a book called Pick Yourself, but, yeah, or there was a book I felt like that, but maybe Purple Cow, I would have to think about it. Decorous Deception. How high will you fly? Yes. That one was, yeah, that came out a little bit before. Choose yourself. And I felt it was like a similar, similar theme. Isn't that cool? So that's is a great application of, and so just that feeling, there must be some Japanese word for that feeling of regret after you finish something you like.

You know, like it's almost like you finished eating at this three-star Michelin restaurant. Now you can't eat anymore. You're like stuffed. You know, I just put in my favorite collection. of short stories and I asked recommendations every single recommendation I've read and loved. That's amazing. Okay, choose yourself guide to wealth. So this is a little bit more popular.

Now there's re-event yourself, choose yourself, the rich employee. Let's see. Yeah, a whole series. Yeah, let's see if it's one that's not. Actually, this one should have been, Kamal Ravakhan's book. I think that should have been, that should have been more similar to choose yourself.

But they haven't. Only because I wrote, I think I wrote, did I write the forward to that? I forget. I don't think I did. No, I just recommended it. So. Yeah, some of these are not, I don't, I haven't read that book. I haven't read that book. But I've read the other one. It's the same as choose yourself. Just don't read that one. Okay. Yeah. Yeah. So save, save money. And then the other one is reinvent yourself. Let me just see that one. Oh, skip the line. Skip the line. Yeah, I read that. Obviously, I hosted you. but I'm just trying to see anyone's that are that are like really like that it resonate in that sense like the sense I had one I was done yeah tribe of mentors Tim Ferriss yeah so it's an interesting site so those are great things that like kind of distill the DNA of something but you know I'm worried about writing like I kind of I'm glad that I never

that chat GPT really came out after my first books were you know after I had done a lot because it's very tempting to use it you know like I use it for writing like I I write letters of recommendation. I basically, you know, kind of just brainstorm in this AI voice mode. And then I have like a boilerplate thing in Claude as a project. I just say like make sure you interview the candidate, you know, that you're writing for it. You know, you meet with him or her.

Like, and I say like if you were writing a recommendation, what would you want me to? Because I don't, they've been working for me for six years. I don't remember everything they did in 2019, you know. So like, tell me everything you're proud of. Like you're writing for, your mother is writing. this thing for you. And then I'm going to make it professional. I'm going to add it, but I use AI to distill what they say, because they're not maybe as good a writer as I am, or they just put it like a CV, like bullet points. Like, that's not as, I'm not going to cut and paste that. But then I can

convert it and add in my special sauce and spices. I actually train, have you done any like James bots? I mean, you must have. Yes, yes. And how did you do that? Because I saw this really good guy, Matt Wolfe. He lives in San Diego, actually. And he has this great like tutorial on how to take every single interview you've ever done on YouTube at least. I don't know how you do it for the audio-only ones, but all your YouTube ones. I've done all my articles and a bunch of my books. And what about your podcast?

No, I haven't done that. I haven't done that. So what did you put in it? What tools did you use? Let's make this actionable for the audience. I actually don't know because someone else did it for me. But one thing I will say is that if I say, okay, now right in the style of James Aldeacher,

I can see what it's doing. I do think I have, for better or for worse, a particular style. And I could see what it's doing and how it's trying to do it, but it's not working. It's failing. And I don't think AI could replace us as writers. And of course, I could be biased because, you know, I'm a writer. But the problem is over 50% of content now being written on the Internet is written by AI. It's about 52% last month.

So now an AI always only learns from the latest things. going on the internet. So it's only learning about writing now from its own writing. So it's kind of getting a plateau. Remember mad cow disease? Remember mad cow disease? Like where cows would eat other cows and then they'd go, they get this brain disease. So I call it mad bot disease. Yeah, it's exactly right. And that's why there's no chance as LLM, maybe AI will, but there's no chance an LLM plus GPU based architecture will create a theory of everything. I'm going on record. Right now you heard on the journey. There's no, it's not going to come up. It can't do it because we haven't done it before and the new things that are coming into it are going to be either new physical laws,

new physics discoveries from humans, or it's going to be like, oh, here's the transcript from the Fast and the Furious 11. Like, is that what's missing from our current understanding of physics? Is that the corpus of knowledge and tokens doesn't include the Fast and the Furious 11? No, it has not to do with that, right? No, you're absolutely right. For writing, for instance, okay, there's only so many good writers. Like, there's only so many Hemingways in the world. So even statistically you can't analyze there isn't enough data to give you examples of good writing plus it's very hard to just to just it's even hard subjectively let alone objectively to determine good writing so it's never really going to learn to be a good writer but video is a different story so

there's a million hours a minute being uploaded to youtube for videos so there's so much more data on what makes a video look like a real video every minute there's another million hours worth of real videos being uploaded. So the data is there. The data for good writing is not there. The data for a theory of everything is not there. So you have to understand how AI works. It's dependent on good and marked data.

And sometimes it's able to mark the data. Yeah, yeah. Well, this kind of connects back to what I said in the beginning. Like my rubric for picking a good politician is like the most liberal person in a red state or something like that, right? But what's like the dumbest take of a smart person? person. I think Elon Musk, very bright, very high agency, very competent. But I think, you know, he or Sam Altman, like, they really believe that AGI is going to be here and that it's going to

fundamentally do things like create a theory of everything. I mean, they've said such. Like, it's just like a matter of time. And, you know, I understand they have quite an investment with both, you know, a chemical rocket company plus a AI company plus a, you know, plus a social media platform. So I understand his incentives, but what do you attribute that to? I mean, it's such a simple proposition. Nobody who knows anything about math. I interviewed Terrence Tao. It was like IQ is like 260 or something reportedly.

Smartest math. He won the Fields Medal. He is just this wonder-kind. He's brilliant. He actually graduated from college, I think, at 19. And then he went to Princeton at 21. He got his Ph.D. But, you know, he's like, man, no, they don't even have things that can,

like literally James, you can't even check like Andrew Wiles' proof of Fermat's last theorem. Like it doesn't know how to do that. Like you have to basically, and these are very optimized. Only do things like prove math expressions are true or false. And it can't reproduce something that was done 30 years ago by a human. So either that gives you a lot of, I believe that it can beat us in chess.

I always say like they'll never beat us in tic-tac-toe, James. They will never take our tic-tac-toe crown away from human beings. I think it's impossible. like, I'm joking. I mean, take that too. Well, you know, I was, I, of course, worked on everything, you know, chess software and game software. And I remember going to, when I was in grad school, I went to Kai Fu Lee, who later on and basically invented speech recognition in Apple, then became one of the biggest investors in China. But Kai Fu Lee was a professor at the time of computer speech recognition in 1989 at the grad school I went to.

And I said, let's work on Go, because I knew he was interested in Go. and he had created the best Othello program using AI. And he said, no, no, no, go is too hard. They're never going to solve it. And yet now Go is solved. It seemed like an impossible problem and it's solved because there was data. Yeah, exactly. Right.

So those are algorithmic things, but where there's no algorithm, like, would you ever say like the AI sculpture, like those are robotic sculpture, and it's going to do something that is as evocative as like Michelangelo or the Mona Lisa or whatever? Like, yes, it can make incredible art and even, music. And I read somewhere that the top 10 on Billboard is like half AI in certain categories, which is pretty crazy. But then people in there asked about it, do you want an AI thing? You remember this thing like, you must remember, because I think you talked about it first, as far as I don't know, like the uncanny valley. You remember that? Yeah, yeah.

Nobody talks about that anymore. We just went like way, like, nobody says like, oh, these AI girlfriends, like, they don't really look identical to like Scarlett Johansson. or Robin or my wife. Like, no, no, they feel perfect. They're exactly, you know, you can replicate people's exact images, but people, you know, do they prefer it? And so I'm worried about writing.

I mean, I've seen, like, a massive decrease. Even on, like, YouTube, like you take some of the most popular YouTubers and, except for the very top, like Joe Rogan or Stephen Bartlett or whoever, like they're getting way fewer views. And why is that? Like, what happened in the last year?

I mean, the only explanation is that there's just so much explosion of other content. And some of it's AI, but, you know, in terms of writing, like, are people sitting down? Like, I haven't read a physical book, like, in a long time. And I read a lot. Like, I listen to audiobooks, you know, 2X speed for my podcast. I read a lot of nonfiction. You know, so I read more than 99% of the population. I think I'm unusual and I have a podcast and I do research.

So, I mean, I'm worried about, like I'm thinking about writing a traditionally published book. about Jim Simons but from his scientific accomplishments. Not like, you know, his financial. I would totally read that. Yeah.

And there's so many more insights because if you asked Jim, who is he? Would he say, I'm a hedge fund manager? Like, no, he was a scientist. His whole life was based on his scientific curiosity. So I think the financial thing,

of course, gets the headlines because it's titillating. But no, that wasn't his core identity. And so, you know, I knew him, you know, as well as, anyone outside of his family, I would say. And I think, like, that's the story that needs to be told. But, like, who's going to read them?

You would read it because you're my friend. No, no, I would read it also because I'm fascinated by Jim Simon. So, yes, I would read it because of you. And I would read it because of me. So you're going to get niche audiences. Like, AI and the Internet in general has encouraged niche subcultures, and that's what you're going to appeal to. You might appeal to a general audience.

They hear niche and they're like, screw that. I'm not getting into a niche. Like, they can do niche all by themselves. But that's why I would not do a traditionally published book. Are you ever going to do another one? It's peak pollination season, and my business is scaling fast. To keep the nectar flowing, I need a phone plan with top priority data speeds. That's why I chose GoogleFi Wireless.

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And I got a great advance. And it was nice to have a really great editor. But overall, I enjoy my experience of self-publishing more. I have total control. I make 100% of the profit on the book. I could design a book cover just as well as any. editor because I could hire a book designer and I could get

just as good. I could get better marketing because I can also control the price depending on the marketing campaign. So, you know, I don't really see the benefit other than, you know, advance and prestige. I'm not thinking, you know, a book about, you know, five-dimensional topology

is going to, you know, be a huge, you know, runaway Wall Street bestseller. But in terms of, and maybe it will because Jim Simon's, you know, involved. But what do you see as the tradeoffs If I just said, I don't care about the money, the advance or whatever, but I want, like, the full firepower of a publisher. Like, what is that involved?

What is the full firepower? And so I'm asking you. Okay. The only firepower with just basic self-publishing compared to traditional publishing, the only firepower that is they can get it into Barnes & Noble. That is the only firepower they have. You know, I say Barnes & Noble, in quotes, they get into other bookstores. But, you know, they're not going to get it into Walmart books.

They're not going to get into Target books because you have to write like a romance novel. or a thriller or whatever. So Jim Simon's book is not going to get into Walmart. It'll get into Barnes & Noble in the major cities. And then if it does well in the major city Barnes and Nobles, then it could get into the other cities. But there's no, I would say self-publishing has more firepower. And by the way, the evidence, the statistical evidence is there.

So on average, a self-published book has a higher star rating on Amazon, meaning it's probably, you know, readers like it better than on average than an average traditionally published book. And it has, on average, higher rank on Amazon than traditionally published books, meaning they sell more copies if you're self-published. I don't know why that is. It could be because the gatekeepers are just not that good at the traditional publishers. So there's no real firepower that traditional publishing gets you other than the fact

that, oh, yes, my agent got me Simon and Schuster and, you know, the advance was published in Publishers Weekly. And now, oh, you can't be on the New York Times bestseller list. if you were self-published. So, you know, that's another thing. So why doesn't Steve, why does Stephen Pinker not publish self-publish? I think my guess is he,

if I were to estimate, he probably gets about a million dollar advance per book, and he's writing a book a year. So that's a decent addition to his Harvard academic salary. I'm just guessing at this. And, and then he doesn't have to hire. He would make it up in the book sales, right? Yeah, but he's not,

he's probably not going to sell that many books. He is kind of like a marquee name for them. And, you know, they don't really make the money on those authors. They make the publishers make the money on their backlist, but they stay relevant by having, you know, Stephen Pinker is our latest author. And we got, we got them on the Today Show, which by the way, doesn't really sell any books. But, you know, they can kind of then, and then when they're pitching like Stephen King's next book, they're like, oh, yeah, we just had Stephen Pinker, you know, and we'd love to have you.

So, you know, but I think that's, I think it's a dying business model. And for Stephen Pinker, he doesn't want to, he doesn't want to get hire a book designer. And, you know, I'm a little more entrepreneurial, not that he isn't, but I'm a little more entrepreneurial. And, you know, I will get a great book designer. I'll figure out how to play with the pricing. And I know email lists and podcasts and so on. Like, I don't need a PR firm.

His book publisher will hire a PR firm for him and so on. So, but, you know, did choose yourself sell more copies than whatever his latest book is? Probably. And that was self-published. And skip the line, which was traditionally published. And I got, you know, a good advance, did not make back the advance. I do worry about the self-published, for one thing. Having an editor is if you have a good editor, I think that's extremely powerful.

Like I'm very close to my copy editor, you know, Allegra Houston. she's amazing and she does a lot. And I was very close to my original acquiring editor and editor. And then he quit Norton and went off on his own because it's a horrible. It was a horrible job, I'm sure, you know, at that pay rate. And his office was like a janitor's closet somewhere. But the, but, you know, having someone to bounce ideas off of that has a, you know, kind of a financial stake in things, if you hire somebody, you could say, well, like, you know,

first of all, it's pretty hard to find a group of people that are as good copy editing. Now, maybe I could hire them again. But, you know, bouncing ideas off of, you know, that was very valid. You're totally right. I could have AI be my editor, but I think it'll be horrible. So I think you're right. Like, I've had great editors at traditional publishers. But, okay, choose yourself.

I will tell you the team of people I had helping me with edit and marketing and design. First, I had this guy, Niels Parker. You might not know him, but he was. Tucker Max's editor on all of Tucker Max's books, which were all Tucker Max and Malcolm Gladwell are like the two people who have had, you know, three books at the same time on the New York Times bestseller list. Yeah, I know. You introduced me to Tucker.

Yeah, Neil Parker is a great editor and writer. Then I had two other people helping me with marketing, design, the thinking of it, the editing of it. I had the young Ryan Holiday pre all his stoicism books, and he was a marketer then. I hired him. and Tucker Max. So that was my group of people to bounce ideas off of. So I had a real professional team that I made up of, you know,

between Tucker and Ryan now, there's like 20 million copies of their books. So this was like a really super professional team. And I was very fortunate in that. Yeah. I'm just thinking like someone like basic books who does a lot of science stuff or Norton who does science. Having that, you know, as an independent person who's going to read the book,

book and not kiss my butt. And, you know, in the scientific realm, what I've heard from my agent, you know, is like, people don't really care about whether or not a theory is true. Like, they just want to hear it. Like they hear, oh, black holes destroy information or quantum computers are going to revolutionize, you know, our world. Or, you know, we go to Mars and it's going to change everything for preservation of human life. Or they're aliens, you know, throughout the galaxy and the universe. Like, none of those are provable statements. In fact, some of them are demonstrably false. And the biggest one is like quantum gravity and the theory of everything, you know, will change, you know, completely change the roadmap for civilization, like the invention

of fire, all these. But, and so they like things like string theory because it's false, it's unfalsifiable. In other words, these authors are like, Stephen Hawking was famous for this. Like, he wrote total nonsense. BS. I know I wrote his book, A Brief History. of time. But nevertheless, there's so much nonsense in that book. He talks about string theory and it's like less reputable cousin called M theory, which, you know, no. I never heard of that. Yeah, no. So it's all in. But 90% of the people didn't read it. I once was out of talk that when he could still talk or respond in near real time and someone said, why'd you write a brief history of time? It's rumored that nobody who buys it reads it. And he replied, well,

it's only important that they buy it. You know, it's like, my daughter, needed to pay for, I needed to pay for private school for my daughter. He literally told me that. I told us that. But people like that. It's almost like this hero where, like, you just want to know that there's some like SEAL Team 6 of intellectual, you know, physicists out there. But you don't need to know how they do the wet work that they do, you know, in Venezuela or wherever they're going to be. You just need to know that they're there. Remember, like a few good men, Jack Nichols, you know, you want them on that wall. You need them on that wall. Like, we need these Nobel prize winners, even though we have no freaking clue what they do, most people, because it's sort of like a CV

enhancer for the human race. And I just feel like, you know, I know how to write a book like Brian Green and, you know, the fabric of reality, space, you know, or, you know, the, you know, kind of just, just the breathless tones about string theory. I know how to do that, but I don't want to do that. Like, I'd rather do something that's true to, like, experimental. The, I don't, ironic thing is that Jim Simon's worked on a scientific theory, which not only could be a theory of everything, but it also is verifiable and in some cases verified. In other words, there have been Nobel prizes given for predictions that stem from his mathematics. He didn't predict the physical application. And some of them relate to quantum computers, which we have to talk about. But not today,

because I've got to go teach right now. But let's catch up again soon. And I'll try to get on By the way, the moon landing, denial. Yeah, the entire purpose of this podcast, scheduled this podcast, was to talk about Candace Owens and denying the moon landing, and we will just have to reschedule that for next few days or weeks or whatever. Yeah, it's always going to be a hot topic, so we'll be able to talk about that soon. It's the computing of the future. It always will be, and the moon landing is always going to be denied, like anything.

Like the Epstein files, people are like, oh, the Epstein files are going to come out, it's going to change everything. I'm like, do you think they're going to reveal everything, James? Like, not even like, like, just is it possible? Like, how many gigabytes of data is that? And even LMs, like, a lot of limitations of the ALMs, they can't go through a context more than like 100 emails or something before they just like forget what they're doing.

Let me ask a slightly different question, which maybe answers this question, which is, have they ever released anything about anything? So where's the JFK stuff? Where's the UFO stuff? Where's the MLK stuff? Oh, that's coming this week, the UFOs. Well, I just had someone talk about UFOs,

and it's like, oh, no, they're threatened with death. But, you know, and he didn't quite say that. I'm not, I don't mean to, I'm not making fun of that guy. You claim that, James. They claim they're going to be, you know, detained and that they mount, they're whistleblowers. Why do you need a whistleblower? Like, I talked to this astronaut, Chris Hadfield.

He's like, well, if you're telling the truth, why do you need a... Love Chris. Yeah, he was great. You know, he gave me, like, such a good interview about his new book. But let me just say, as long as there's some capacity for doubt, the human mind will never be satisfied, right? We'll never know exactly, like, to the molecule, what happened in Dallas in 1963, right? We'll never know exactly why the Twin Towers,

you know, the building seven fell down. Yes, there are theories in there, but there's always going to be gaps, right? There's always going to be some plausible, you know, kind of outlet that, and as long as that happens, you can never resolve something. Look, we can't even resolve that the moon landing happened. There's, there's a substantial number of people who are alcoholics or felons or truly mentally ill people. Not saying that people that don't believe we landed on the moon are mentally ill, but I'm just saying like 10% of the population are murderers and alcoholics. And so you're never going to convince everybody that any event happened.

Epstein files are not. Even if Trump's all over it, he was really down there, he's doing everything bad and it's reprehensible what Epstein did. Nobody denies that. But that this is going to somehow change every. or like, you know, Scott Galloway keeps saying, oh, the reason that we have, you know, that Trump is, is, is releasing, you know, or is going to declare war on Venezuela and did, you know, like sign these peace accords and it is because he wanted to keep Epstein out of the news. Like, it's so much like wish casting. There are people just, and you can wish anything onto it such that if you hate America or you love America, you could have plausible, you know, a case for your argument. But none of that has to do with the moon landing or chronic computing. So we have to schedule. that. Jay set it up. You got my email. I'll talk to you guys soon. What are you

doing for Thanksgiving? Playing chess playing in the U.S. Masters in Charlotte, North Carolina. Awesome. That's close. That's close to you. Yeah, yeah. Maybe I'll yeah, can I have some relatives there that would like to meet you. Including one that might want to work on quantum computing.

We'll talk about that. All right, excellent. Well, look, my brother's. Good luck on your teaching today and we're going to talk soon about all these other things. I just have to figure out what, you know, six plus three equals X plus seven. Yeah.

If you can get me that information, I will be eternally grateful. I, we got to get to the bottom of this. This November, action is free on Pluto TV. Go on the run with Jack Reacher. Every suspect was a train killer.

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