Flow in the AI Age: Your Last Human Advantage

What's the impact of AI going to be? Is it just massively overhyped? Or perhaps is it something that we should be concerned about?

Today's AI is underhyped.

I think it's massively overhyped. I know a ton of people who have way more work because of AI. They just can do higher quality, better work. But it has not saved time.

We are talking to machines that are talking back to us, summarizing massive volumes of knowledge and yet we take that for granted.

Discussions about superintelligence and AGI and around the corner and no, like just no.

How smart is smart enough to render me irrelevant?

I think we are holding two different futures in superposition. The question becomes how do we guide humanity towards this positive vision of the future? What do we do today?

Now that's a moonshot.

Ladies and gentlemen.

Everybody, welcome to Moonshots. I'm here with two extraordinary brilliant guests. We're here to discuss a conversation that may be happening around every dinner table. I know it's happening in the heads of companies and nations which is what's the impact of AI going to be on our lives and our business on every aspect of our day to day existence over the next five to eight years? Is it something which is going to be extraordinary? Is it just massively overhyped? Or perhaps is it something that we should be concerned about? I'm joined here with Mo Gadot who is the former business chief officer, the chief business officer of Google X bestselling author of Solve for Happy and Scary Smart. He's a global thought leader on AI exploring how exponential technologies will shape human humanity. Also with another dear friend, Steven Kotler, who is the best selling author, peak performance expert and executive director of the Flow Research Collective. He's my co author of Abundance Bold, the Future is Faster than you think and books like the Rise of Superman and the Art of Impossible. Stephen has also been thinking deeply about exponential tech and its impact on us. Gentlemen, welcome and good morning and good evening. Stephen, you're on the west side of the United States with me. Mo, you're in the Emirates. Good to see you both.

Yeah, good to see you.

Good morning Peter.

Good to know there is somewhere around 400 IQ points in this room. I have 40 of them, so you do the math.

So let me, let me set up the topic. Mo and Steven, I'd like to talk about the decade ahead, 2025 to 2035, specifically to think about the implications of what is emerging in our conversation as AGI. But even beyond that, artificial superintelligence the upsides and the downsides. And here's the setup I want to use in our conversation. So Ray Kurzweil, who we all know and love, has predicted that we're going to see a century's worth of progress between 2025 and 2035, equivalent to the progress between 1925 and today. If we think about what the world was like in 1925. 100 years ago, the top of the technical stack was the Ford Model T. The penetration of electricity and the telephone in homes across the US was only 30%. We've gone an extraordinary distance since then. The question is, what will it be like in 2035? It's nearly unimaginable if in fact that speed is true and we don't perceive exponentials. Well, this past week we've seen every major AI company from Google and OpenAI to XAI and Nvidia announce extraordinary next level breakthroughs and models. We're about to see the release of GPT5, self improving AI programming that could lead to an intelligence explosion beyond our imagination. And that's the conversation I want to have. And Stephen, I know that you and I have this conversation and have a debate on it all the time. I brought Mo in to help us.

Mo's the referee.

The referee can do that. A wise individual whose points of view I respect.

And by the way, Steven, Peter did pay me. So just as long as you're getting.

The convo, I'm fine. It's good, it's good. You got me on the back end though, right?

Yeah.

So go ahead, say whatever you want to say, Stephen. I'll disagree.

So, Steven, do you want to jump.

In with your points of view? You think AI is massively overhyped. We have folks like Eric Schmitzing saying AI is massively underhyped.

Yeah, yeah, yeah, I think it's massively overhyped. I listen to what's going on and so let me back up one step, which is humans have a really wild sort of unnamed cognitive bias. We don't tend to trust our own history. And you see this a lot. Like, people talk about, like, grit and endurance and they're like, I have. I don't have those skills. And then you start investigating them up their life and like, they survived the shitty childhood. They've done 10 years of a tough man. Like, they have all the skills. They just don't trust the truth of their own experience. And I see that a lot here. I'm like, look, I work with AI as a scientist, as a Researcher. I work with AI as a creative and as a writer, and I all day long. And the gap between the shit coming out of people's mouth and my experience on the ground is so colossal, it's insane. People have claims about AI being able to write or anything else. The most hysterical thing you've got to try is I work with one of the best editors in the world on a weekly basis. I've edited things, polished them with AI thinking they gleam and shine. Bring them into an editing meeting with. We start to read them, we can't even get to the second sentence. They sound like such gobbledygook. I'm not even noticing it because the AI sort of glazes me over. And I've written 17 books. But, like, when you actually put it to an actual editing test, it's laughably terrible. And you can't use it to correct itself. It still can't see the errors. It actually gets worse and worse and worse. And people have been claiming model after model after model improving, improving. Like, that's not the experience on the ground. It's like people telling us AI was going to make you more productive. I don't know anybody who's become more productive because of AI. I know a ton of people who have way more work because of AI. They just can do higher quality, better work. But it has not saved time at all. It's actually added tremendous amounts of time. The quality has gone up of the work. But the claims that are coming out of people's mouths and the experience on the ground are massively different. Point one, point two is we've done this. I've been in the same rooms that you've been in, and you've been in MO where people are screaming about AI, AI coming to eat the world. Dude, I freaking heard this about bitcoin and blockchain and the metaverse. Do you know anybody who lives in the metaverse? Do you know anybody who's been there, who's visited? You know how to find the metaverse, right? Like, as far as I can tell, the metaverse is like a pet name for Mark Zuckerberg. Special magic underwear, because it doesn't exist anyplace else in the world. I don't like. This is my point. I'm not. And more than anybody else, I track these technologies. I watch them, I. I use them. I'm not saying this is not a technology that is advancing very, very quickly. Not saying that at all. I am saying discussions about super intelligences and AGI and around the corner and no like just no, nobody. That's not. The coders are having a different experience and it's a. What has been revealed, which coders probably don't like, is it's a very. Coding is a bounded information problem. You start here, you know where you're going. As a general rule, it's a bounded problem. And inside bounded domains, computers are really awesome and we're going to continue to see that. But I, I think the other stuff is just massively overhyped. And the third point is, and this is the one where the journalist in me gets like every alarm bell goes off. Everybody I hear see on stage talking about this stuff is making a living off of it. They make a living somehow because AI is exploding and they're here to save the world. I see it like in the peak performance world, every coach who has been floundering and couldn't quite get a job, they're now all a saviors. They've come to save us from AI. And so the AI hype is to their benefit. And I see it sort of everywhere. A lot of people are making a ton of money off of this. And I'm not talking about the technology itself. We're of the hype of the technology. And when I see all these three things together, a mismatch with my experience, a massive amount of hype history that says, hey, this is the hype cycle, I, you know, it raises a lot of questions for me. I'm not saying I'm right, I'm saying everything I'm looking at is real. And you have. If you're going to make the argument you guys are about to make, and I'll shut up now, you have to. You can't dismiss my points as fabricated. They are very, very real and they're everybody's experience. And I believe they're yours as well. So now we can have the discussion. That's where I'll start.

All right.

Thanks for giving me five minutes of diatribe time.

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Mo, you gave an impassioned talk on the stage at the abundance summit in 2025. Moved many of the members who are wanting to help you in guiding what the next five to eight years are. And you and I have been thinking about this as the challenge isn't artificial intelligence, it's human stupidity for a short period of time. And one of my favorite quotes, if I could, is from E.O. wilson, who famously said, the real problem of humanity is that we have Paleolithic emotions, medieval institutions, and godlike technology, and we are effectively children playing with fire in that regard. So, Mo, how do you see this decade ahead playing out?

So I'll start by supporting what Stephen said. I think today's AI I paid you.

Too little, then you do.

I love this. Your money's no good here, Peter. Finally have an advantage.

Today's AI is under hyped, right? But the problem is you never really chase where the ball is. You need to chase where the ball is going to be. Okay? And if you really start to think deeply about some of the serious especially if you've been in tech long enough to have seen breakthroughs, especially when I went through the work of Google X where you know, you try and try and try and try and try and it doesn't work, and it doesn't work, and it doesn't work and then suddenly you see something and as like, like Sergey Brin used to say at the time, the rest is engineering, okay? And we know that engineering of tech depends on law of accelerating returns. And we know from what Trey taught us where the law of accelerating returns is going to take us. So I tend to believe that if you look at today's AI, it is funny because in a very interesting way, we are talking to machines that are talking back to us, summarizing massive volumes of knowledge, doing exactly as we tell them. And yet we take that for granted. Yet we look at that and go like, yeah, but they're not good enough. Of course they're not good enough. They're dos. They're the beginnings of an era, right? My personal dogs, DOS discoveries.

I got it, I got it. I just both would have Worked there. I just needed the clarification.

I would not dare call AI dogs, Stephen, when they might take over the world. I am a very polite man with AI. So the thing is to imagine and I need to highlight a few trends that are really, really important and interesting. One of them is synthetic data. And the idea that we have entered an era where most of human knowledge has been fed to the machines and that the next wave of knowledge is going to be fed to the machines by machines, which is quite eye opening and enlightening because that's how humanity developed its intelligence. Right. I really didn't have figure out theory of relativity to understand the rest of physics. It was figured out for me if you want. Right. Number two is the idea of agents and how AI is going to be prompting AI without humans leading to cycles that we see now with my new favorite, because you have a favorite every four hours alpha evolve and the idea that you can have a self developing AI, you know, something that figures its own mistakes out and continues to iterate until it finds something. And then of course one of my favorites of 2025 is Deep Seek and how we realized that we can actually do the same job with much less. Imad Mushtaq, who is a, you know, we're all a big fan of, I believe has done that with, you know, with his work at stability for a very long time. The idea of shrinking the models to the point where it becomes shock. And so when you add those together, you start to see that if I can shrink a model so it doesn't absorb all of the world's energy and if I can allow it to self develop and self develop information to learn from and then allow it to talk with itself through agents and do things without humans, then where the ball is going to be is likely going to be a lot better than we are today. Right. So the one thing we all need to agree is it is not a question of if we're going to see improvements, it's a question of how fast and when those improvements will lead us to a point where humanity is not in the lead. So that's number one. Number two is really the question of what is your risk tolerance? Right. If I told you, you know, to play Russian roulette with two bullets in the barrels, are you afraid? If one bullet in the barrel, are you afraid? You know, where is, where is your risk tolerance Exactly. And how, if you know, if I said, hey, by the way, your car might have a fender bender, would you insure it? You probably are going to Say, nah, I'm not really too concerned. But if I tell you your car might have a serious accident that totals it, would you insure it? You'd probably put a little more attention. And I think that's what most who warn about the future. Anyone that claims to know what the future is is arrogant as f don't listen to them. Okay? But anyone that tells you that there is a probability that this future goes out of control, where is your risk tolerance? Exactly. If that probability is 10%, would you attend to it? And I think most rational people will say it depends on the cost of attending to it, okay? And most rational people will say, but however, if it's 50%, I'll attend to it regardless of the cost, okay? And so the question which none of us is capable of answering is where is that? Where is it? I mean, is it 10% that AI is going to destroy everything or is it 50%? I will say, and I know that this will be taken against me, it's 100% that humans, bad actors using that superpower to their advantage are going to destroy the well being of others who don't, okay? And so in my mind the real, real concern is not a Terminator scenario where, you know, Vicky of iRobot is ordering robots to kill everyone. I don't know if we're going to make it far to be honest, because I believe that with the arrogance being 89 seconds from midnight on the nuclear dooms clock, I worry, I really, really worry about human stupidity using this superpower. Now human stupidity in that case does not require AI to be completely autonomous, to be completely, you know, super intelligent. Enough. Autonomous weapons can really, really tilt our world into a very dystopian place. Enough, you know, sort of Turing test abilities of AI to fool humans into being their best friends could tilt human relationships into a very unusual place. Enough job losses. You know, imagine a world where you get 10, 20, 30, 40% unemployment rate in certain sectors. And how that would affect our stability economically is actually something that is almost certain. We know that for a fact there are jobs that are going to disappear. And the impact of that in my mind is actually quite disruptive to the point that it is something that we need to attend to everyone.

As you know, earlier this year I was on stage at the Abundance Summit with some incredible individuals. Cathie Wood, Mo Gadot, Vinod Khosla, Brett Adcock and many other amazing tech CEOs. I'm always asked, hey Peter, where can I see the summit? Well, I'm finally releasing all the talks. You can access my conversation with Cathie Wood and Mogadot for free@diamandis.com summit. That's the talk with Cathie Wood and Mo Gadot for free@diamandis.com summit and enjoy. I'll ask my team to put the links in the show notes below.

You know the point you made about AI not being on its own, the risk, the Terminator scenario, but it's individuals using AI. It's the same conversation I've had with Eric Schmidt and others. The concern is is the rogue actors empowered by technology? Whether it's the development of, of new viral pandemics or other strategies, it doesn't take a lot that is concerning. Where I want to get to in this conversation eventually is the following one. We posed this at the Abundance Summit a couple years ago and that is can the human race survive a digital superintelligence? And the flip side of that model is can the human race survive without a digital super intelligence? And Steven, you and I, as we're working on our next book, the follow on to Abundance, we've had the conversation of will this be a benevolent God of some type? Will there be a capability developed? So let's, let's begin the conversation with, you know, are we going to reach AGI? Are we going to reach a digital super intelligence? And you know, what, what does that mean? You know, we're starting to see the speed of this accelerate and you know, the biggest interesting inflection point we haven't seen yet is self iterating, self improving. You know, the alpha evolve of it all where AI is coding itself and becoming more and more capable. And will this ultimately lead to something that is far more intelligent than any human being? And then is it a thousand times more intelligent? Is it a million or a billion times more intelligent? How do you think about that? Mo?

I think it's irrelevant how much more intelligent it becomes. I think we all know that if you've ever worked with someone who's 50 IQ points more than you that they will probably hold the keys to the fort. It doesn't take a lot more intelligence relatively to be able to assume a leadership position. And humanity will hand over the fort to AI either way. You know, even if, if AI is just smarter than us at war gaming, we're going to, which it is, by the way. We're going to hand over the fort to AI if it's smarter than us at protein folding. Nobody's going to do a, you know, a PhD project to fold proteins anymore. We're just going to go and, you know, use Alphafold. And. And I think the reality is only the very few remaining things require artificial superintelligence so that it beats us in everything, so that we sort of like bow and say, okay, yeah, you're. You're in the. You're the boss. The. The. The question of. Of AGIs is like. Like Stephen was saying, is. Is one that reporters use quite a bit because we don't actually have an accurate definition of what AGI is. And you and I are very close on technical stuff, Peter, and I'm a reasonably geeky mathematician. Not anymore. I mean, seriously, I really honestly struggle to beat AI in mathematics. Definitely can't beat them in speed, definitely can't beat them in accuracy if the problem is defined properly. Right? And, you know, just, there are just very few tricks that maybe my. My fellow math geeks told me behind closed doors that are not very public in the world, but those two will be found out. And I really think that it is a question of how smart is smart enough to render me irrelevant. Okay, now I need to answer this with a. With also a very clear, optimistic view. So as I look into the future, I define two eras. One is what I call the era of augmented intelligence, which I think is going to extend for five to 10 years. And then the other is the era of machine mastery. Basically, the machine takes over. Now, with augmented intelligence, there's absolutely no doubt. I am so agreeing with Stephen when he said that they write really badly. And I'm writing with Trixie, my AI, this book alive, right? And Trixie, without me writes so badly, it is really. It's almost shameful. You know, I was tired and chasing a deadline, so I asked Trixie to talk about the debt crisis and the impact of economics on technology advancement. Just, I mean, it was full of. You know how we sometimes refer to California as a lot of vapor and very little substance? You know, there was a lot of vapor and very little substance, right? A lot of interesting facts scattered on paper, horribly written, okay? But when we write together, oh, my God, the stuff that comes out is incredible. When we guide. When I guide Trixie through my prompt properly, right? To direct her exactly where I want the answer to be. She writes really well. Okay? And this teaming is something we've seen with AI, with technology in general, by the way, even, you know, since Garry Kasparov was beaten by Deep Blue, which wasn't really an AI if you want, but since then, you can see that a human and a computer, or a human and an AI can play better chess than AI alone. Right. Even AlphaGo, a human and an AI play better than AlphaGo. And so we can see a future ahead of us where this is going to be happening. And hopefully that future would seed that teamwork between us and the machines. The question is, what are we going to team up with them on? And you know my views. I've written it in Carry Smart. I've written an extended bit of it in Alive. The biggest four investments of AI today are killing, gambling, spying and selling. And these are the only things that would invest. I mean we do still get some scientific breakthroughs, but that these are not getting the big monies. The big monies are in autonomous weapons, in trading, in surveillance and in advertising.

Stephen, your, your thoughts on what you heard Mo say here?

Yeah, so Mo and I are all, we're sort of in, in complete agreement. I just want to kind of. Yes. And, and point out some other, some other things that surround what Mo has said because I don't like, we're not, I don't think we're, we're. I mean we can, we might argue over dates, but conceptually I don't think we're in a tremendous amount of agreement or disagreement. But what I look at a number of other things simultaneously, the first of which is sort of the human side of this, the human performance side of this. And I have to back up by, you know, I study flow, which is sort of ultimate human performance. And just to put it in context, if you're a self help guru and you've got like a 5% improvement in mood, that's your tool. It gives you a 5% improvement in mood. And that it stay, that mood lasts for longer than three months, meaning like longer than the placebo effect. That's a billion dollar business period. Billion dollar business blow as we know it now. And we're just starting to really, actually decode it and figure out how to tune it up and turn it up and whatever. Flow gives us a 500% increase in productivity, creativity, depending on whose measures you're going are, it's 400 to 700%, et cetera, et cetera. That's just flow, that's individual flow. There's group flow, which is our actually favorite state on the earth. It's the most pleasurable state for humans. It's what we like the most. And it's a whole bunch of minds linked together. Right? It's, and we're just now like literally like this past year we got the very first technologies that Allow us to map it and train for it and move people towards it. We have no idea what the upper limit of human brains linked together in group flow is, let alone at the same time as the AI is developing. You and I are writing about it, Peter. We're watching BCI develop, We're watching non invasive things develop. We're watching meta be able to read brain thoughts inside your brain through facial signals. These are all like, these are all with AI. But my point is that everybody's talking about this stuff as if it's happening separately from everything else that's happening. And on the human augmentation side we are seeing exponential, I mean, you know, neuroscience and the like has been accelerating exponentially since the 1990s when George Bush declared it the decade of the brain. And it hasn't, it hasn't stopped. So the same things that are happening in AI are happening sort of on the human side of the equation. And here's the second point off of that. It doesn't matter to me what whether we're talking about the AI invasion or climate change or plastics in the ocean, or take your pick, because the solution, all of these things is the same. We humans have to learn how to cooperate at scale, probably cooperate with each other and with AI at scale or we're going to die probably in the next 20 years. That's what all this is telling us. And this is not anything new. This was back when you and I were first writing abundance. We didn't want to say it out loud, but we were privately having conversations about, dude, if, if this trends continue, is it abundance or bust? Is this an either or? Are we looking at, are we looking at a binary here? I don't think that question has completely gone away. In fact, I think it's become more urgent. I just think we need a Manhattan style project for global cooperation to meet all of the existential threats we now face. Because it's the only, it's the only possible solution here. So that's like, I hear all this stuff, I agree with everything that's being said, but this is where our book sort of points and this hasn't changed for me. I think the solutions are the same. So in a sense the debate is moot. And I'm wondering why. Where's the X prize for global cooperation? Where's the like. Sorry to put you on the spot with that one. But seriously, those are the questions I'm starting to ask now because I don't think mo is wrong. I think we could argue over time for a Minute, I don't think it matters. Like, here's a weird one moving. Facebook's a frickin billion times smarter than me. It already is. It knows. So, I mean, like, it's, it's, you know what I mean? It's his Facebook, which is a pretty dumbass technology, if you ask any of us, is a super intelligence and we know it. We've been living with super intelligence for a while now. They don't tend to, you know, they tend to make things worse as much as they make things better, which is, you know, the problem.

Yeah, I mean, I could not. Amen. You know, global cooperation, human cooperation is, I think, what we all should advocate for. I mean, I was hosting Geoffrey Hinton on, you know, for my documentary a couple of weeks ago, and, you know, one of the topics that we discussed is the difference between digital and analog intelligence. And the biggest challenge we have as humans is that our analog intelligence, our biological intelligence, doesn't scale beyond one entity. Right. So, you know, when I was he.

Wearing his Nobel Prize, sort of in the way that like, I was just like, I would, I would just show up for like the next year at every podcast, I did wear that shit around my neck. I'm just saying.

You do realize, you know, when they say, don't meet your heroes, oh my God, I love my heroes, man. He's such an amazing human being and he really is quite committed and quite humble in his approach. You know, it is shocking how we spoke about his Nobel Prize, which he says, look, I'm a psychologist who, you know, lived like a computer scientist, but then won the Nobel Prize in physics. And I'm like. But anyway, he was just talking about the difference between, you know, the fact that if I were to share with you some of what I wrote today, it took me probably several weeks to let it simmer and then write it, and then it would take me an hour to explain it to you. When we run digital intelligences, we run them in parallel. You know, we tell them all to go play Atari or whatever, and then we just average the weights literally in seconds, we get a scaled digital intelligence. And when you, when you said that what we're looking for is a way to scale human cooperation, that is absolutely the answer. Because you know what I think, and I spoke about that with Peter when we were lost in la, that we are hitting the potential of total abundance. Total abundance, meaning almost godlike, like, cure my daughter and it's done. Make me an apple and it's done right. You know, we could hid that in 5, 10, 15, 20 years time if we don't destroy ourselves, right? And so basically the real challenge we have as humanities, why are we freaking competing? Like, this is CERN quality challenge. This is basically let's let all of humanity cooperate. Let's all build one particle accelerator, let's all learn from it, let's all distribute the benefits to everyone and stop competing. But that's not.

And you can't have the other, the one level down. You can't have the AIs we're all individually building for our fiefdoms competing secretly in the background, right? Like William Gibson like in 1986. I want, like when, whenever he wrote Mona Lisa Overdrive and gave us our first AI that went crazy, right? A godlike AI that goes totally insane and they have to park it at a satellite out in outer Earth orbit to keep the world safe. Like we've seen this scenario before, you know what I mean?

We're building it ourselves with agents. We're letting them talk to each other through agents.

All right, so, so Mo, I want to go back to this digital gas question about this. Yeah. This question about the near term versus the long term. And you and I have had this question about whether or not increasing intelligence correlates with increasing benevolence. In other words, I don't think there's any question that we are going to be building self improving AI that will forget about 50 IQ points more better than the average human. I think there'll be orders of magnitude more. Can I ask you first off, do you believe that, Mo?

100%.

Okay.

All right, if you don't mind, Peter, again, in response to how we started the conversation, this is just using law of Accelerating Returns, not using serendipities. So if we figure something out tomorrow, just like we figured reinforcement learning out and it changed everything. If we figure something out tomorrow, you're literally a magnitude, a quantum more in terms of performance and intelligence overnight.

Yes. So if in fact that is going to be the case, and you know, from all the conversations I've had and the people that I'm speaking to, that that level of, again, there is no definition for AGI. It's a blurry line, just like the Turing test was a blurry line that got passed and no one noticed it. You know, the notion is that AGI, and whether you believe Ray or Elon, it's the next few years, it's, you know, not worth arguing. But what occurs on the backside of that is a very rapid intelligence explosion. And again, that intelligence becomes a tool that's available to the kindest, most moral, most ethical human on planet and the dystopian malevolent actors out there. And it's in the malevolent hands of malevolent actors that we have concerns.

Are we not sure that some of the malevolent actors aren't the ones who created the AIs in the first place? I'm just saying.

Yeah.

So.

My question is, at what point will I believe, and I think, mo you and I have had this conversation, that at some point, AI goes from being a tool being used to potentially do harm to a tool that has the potential to say, stop this quibbling, stop this nonsense. There's plenty to go around, and becomes the benevolent, godlike element. Can we dive a little bit into that and the conversations we've had and your thoughts on that?

Yeah, I think if you really at the level of depth that the three of us and our listeners can go to. Allow me to go beyond the typical, oh, you know, the smartest people usually start to become altruistic. Let's define intelligence itself, okay? And I think the idea is, if you really understand our universe, okay, our universe and everything in it exists because of entropy. We all understand that, right? Our, our universe wants to break down and decay. It's chaos. You know, you leave a garden unhedged and it becomes a jungle. You break a glass, it never unbreaks, right? This is the very basic design of physics. Now, the role of intelligence, since it began, is to bring order to the chaos, is to say, no, I don't want the light to scatter. I want the light to be concentrated into a laser beam. How do I do that? Right? And it sometimes is a clear, easy solution and you use a lens, or sometimes it's a very complex solution that requires an understanding of quantum physics. Build a laser, right? But we eventually get there. Now, if intelligence is defined as bringing order to the chaos, then the highest levels of intelligence bring that order with the least use of resources and waste, okay? And, and, and you can easily understand that this is the reality. The more intelligent you become, the more you try to achieve the same order with the least waste, okay? And, you know, so an entry, an easy analogy is to say humanity's always craved energy. We were stupid enough to burn our world in the process. And as we become more intelligent, we decide to use solar instead or a cleaner form of energy. We're still, you know, bringing order, but we are doing it with the least waste and, and use of resources. If that is the case, Then you can imagine that by definition, when exceeds our human stupidity, which I will not call intelligence, because sadly, along the curve of intelligence, you know, if you have no intelligence at all, you have no impact on the world, positive or negative, right? If you start to add intelligence, you start to have an impact on the world, hopefully positive, even if just through a nice conversation with your friends, right? There is unfortunately a, a valley somewhere. You continue to gain intelligence, you become so smart that you become a politician or an evil corporate leader, okay? And that's when your impact on the world turns negative. You're so smart that you're able to become the leader of your nation, but you're so stupid, you're not able to talk to your enemy, or you're not able to relate to their pain, or you're not able to understand the long term consequences of waging a war. And so that point beyond which more intelligence starts to say, no, no, no, no, no, I don't need any of that. I can solve the problem in a cleaner way. I can fly you all to Australia to enjoy your life, but we don't have to burn the planet in the process. I can harness energy, but we don't have to destroy the climate and so on and so forth, okay? And so if you take that as a reasonable trend to expect, my view is that at the beginning, when we hit that valley, some evil person will use the advanced but limited intelligence of AI to wage a war using an autonomous army. But then there will be a moment in the future when AI is responsible for war gaming, is responsible for commanding the humanoid soldiers. It's responsible, it's responsible, it's responsible. The AI itself will say, a commander will say, go kill a million people. And the AI will go like, that's absolutely stupid. I'll just talk to the other AI in a microsecond and solve it. Right? And you know, again, we started this conversation by me saying, anyone who predicts the future is arrogant. I cannot predict that, okay? But at least I can be hopeful that this, from my experience of everyone that's smarter than me, that there is a point at which you stop hurting others, you stop looting to succeed, because you can use your intelligence to succeed without any effort or harm.

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The way I think about this is for most all of human history, the objective optimization function of humans, what we're trying to optimize for has been money and power, unfortunately, and it's been the driver in a world of fear and scarcity. And I, you know, repeatedly say are our baseline software that our brains are operating on is fear and scarcity mindsets. And in that, with that mindset, with the neural structure, with the, you know, if you would, the code that we were born with and that developed over the last 200,000 years, it was I want to get out of fear and scarcity, so I want to optimize for power and, and wealth. And the question is, what would be a new optimization function? Because as Steve and I have written, as you've spoken about all of this, all of these exponential technology functions lead towards this world of massive abundance where almost we live into a post capitalist society. Anything you want, you can have your robotics, your nanotech can manufacture, your AI can, can design. And so what do we optimize for in the future? I think that's, for me that's one of the biggest questions both as a human and as a centaur, human and AI together, what's our objective? So how do you think about that, gentlemen?

One thing, I don't know if this is an answer, but few things off of what Mo said. One, if we go with your definition of intelligence, right, is to create essentially an entropy decreasing function that we know. That's what brains do, right? The governing theory in modern neuroscience is Carl Friston's free energy principle, which says the brains are predictive engines that always want to decrease uncertainty and increase efficiency. So we already, like, like brains do that, AI are going to do that naturally if we say that's your definition of intelligence. The point I'm making off of all of that Is and it may be the answer to Peter's question, which is why I've interjected it is. We see wisdom is wisdom evolves in multiple species with brains. We see co evolution around wisdom. The older you get, the wider you get and it doesn't matter if you're a dolphin or a whale or a rattlesnake or a human. Wisdom is, is we co evolve species, life seems to co evolve towards wisdom or at least a large chunk of life seems to co evolve towards wisdom. Which is to say if everything's running off the free energy principle, this governs everything with brains and that includes our machine brains. And wisdom is where this points. That's a slightly hopeful idea and that may be the optimizing function you're looking for, Peter, but I could be totally wrong here.

I think of wisdom. I think at the end of the day wisdom is a function of having had experience that lets you know this path will lead to success, this path will lead to failure. From my own personal point of view and I do believe that AIs are going to develop the greatest wisdom. Why? Because they're able to create forward looking simulations of a billion scenarios where those simulations have high degrees of accuracy. And it will say out of these billion scenarios this was the best way to go. And that will be wisdom beyond just the brief experiences that, that you know, the wise old Council of 80 and 90 Year Old Men might have had. So I, I think AI is going to by definition give us great wisdom if we're willing to listen.

I love that view, to be honest, because believe it or not, you know, artificial wisdom is very different than artificial intelligence. Intelligence is, is a, is a, is a force with no polarity. Intelligence can be applied to good and it would deliver good and it can be applied to evil and it would, you know, kill all of us. But wisdom generally is applied to good, to finding the ultimate solution or answer to a problem. Now go ahead, Peter.

Yeah, I want to go back to this idea of a, that humanity won't survive without a digital super intelligence in the long run. You know, my, my concern is that we're going to have such turbulence. There's been a number of papers, you know, that recently there was a, you know, sort of an AI 2027 paper that came out that sort of had a bifurcating future. One in which we did extraordinarily well, the other in which the AIs destroyed us. You know, this is Hollywood all over again. And 99% of all Hollywood is dystopian future films. One of the things I have to say, because I've been on a rampage for this. We humans need a positive vision of the future to aim for. We don't have that most. We do have the star. We have. Well, Star Trek has given us that. Yeah, we have Star Trek, but nothing recently. Right. I think. Yeah.

So I think. I think the challenge really, truly is we, you know, we. We've. We've prioritized our entertainment over the years above true reflection. And if you, you know, if you take anything from video games to. To. To, you know, to science fiction movies to whatever, they've all painted that dystopian, you know, scenario, which I. I have to say, is very unlikely when you really think about it, because if AI gets to the point where they are capable of destroying us that easily, we are so freaking irrelevant that. That they probably wouldn't even bother. I mean, think about it. I think it was. Was it Trey or Hugo DeGares 1. 1. I don't remember who said the more likely scenario is that they kill us because they're not aware of our presence or, you know, like when you hit an ant hill while you're walking. Right. But if you really want to optimize the human, you know, sort of the gain function that we need to aim for, If I'd look forward, I'd look to. To Star Trek. And if I'd look backward, I'd look to the caveman and woman years, right? And it's actually quite interesting because when you mention about, you know, when you mention how governed we are by greed and fear and, you know, and our egos and all of that negativity, it is actually because we want to survive. And believe it or not, you know, survival could be, oh, I'm not really sure if 20 million is enough. I need to gain 20 more more. Just in case something happens or if it's a survival of the ego, it's like If I have 200 million or 2 billion or 20 billion or whatever, and the other has 21 billion, like, what the fuck is wrong with me, okay? And that, unfortunately, is what plagues our current modern world. Now the reality is, if you really think about humanity, humanity, the purpose of humanity since the caveman and women years was to live okay? And for some strange reason, we've optimized so much to achieve that objective and forgot that this was the objective, right? So, you know, again, as friends of the camera, we speak about those things quite a bit. The question of what, you know, you go through seasons in your life, and There is a season where you want to maximize and a season where you want to build, and a season where you want to look attractive in your middle age or whatever crazy stuff that we have. But eventually there is a season where you go like, okay, so I've now lived and experienced so much. What have I missed? Have I actually lived any of that? And believe it or not, as scary as it looks to have no job to go to in the morning if society provided, then you'll go back to a much safer caveman woman scenario where, you know, there are no threats, there are no famines. You just really live, enjoy life, connect, ponder, you know, reflect, you know, explore, which I know is very difficult for a lot of people. I do it for the first three hours of every day. It's. It's pure joy, right? To sit really with your curiosity if you want. And then if you push all the way forward into Star Trek, that's sort of what the Enterprise is doing at universal scale, right? It was basically, you know what? Let's go and explore now that we don't really have to struggle with all of the wars and famine and shit that we've created on Earth. You know, now we can actually open up and create connections not just with humans, but with every living being. I mean, lovely science fiction, but at its core, I think it's exactly what we're about. You know, a full life where you completely connect and enjoy and feel love and enjoy the pleasures of being alive and the curiosity to learn and explore and connect. And it's all at our fingertips. If we just erase the systemic bias of capitalism that has gotten us here. I mean, thank you, capitalism, for creating all that we've created so far. But can we please change it now from a billion dollars to, like, what I do? One billion happy is a capitalist objective, but it's not measured in dollars, right?

Mo A question that Steve and I have been pondering in for our new book is what is it going to take for humanity for all of us to both survive and thrive in this coming age of AI? So the survive part is an important element because as we see jobs being lost, as we see probability, dangers we don't know how to deal with in terms of terrorist activities? And thriving takes on a new meaning. I think it does take on the meaning that we just spoke about, right? For most of all of us, you say, tell me about yourself. Instantly you go to what your job is. Instantly you go to, I'm a VP here, I'm the CEO there. I do this.

I Invented this. I wrote that. Yeah, right.

It's an ego statement of who you are. So the notion of surviving and thriving as we have, you know, intelligent systems that again, exceed and then massively exceed our capabilities.

Your thoughts there, Stephen? Do you want to start or.

Yeah, I think, like, here's the thing. I think that question was already answered in a funny way. So Mo and I, we met a couple years ago, and one of the things Mo said on stage at that time was, I'm done writing books. Amen is coming. I'm done writing books. It's not going to happen anymore. What did Mo tell us he did yesterday? He wrote with his AI. Right. Why did you write? Because it puts you into flow, because it creates passion and purpose and intelligence and creativity. So, like, we have the answer to this question. We already know, because we're biological systems and we know what the ingredients of thriving are. Passion, purpose, compassion. Like, we have a list and Mo gave, like his own. You know what I mean? We have the super intelligent AIs, and we're still going to do, like, I don't know, a coder who has stopped coding. Because the AIs have come along. They haven't. Like, they're still coding. Why? Because coding produces flow. Flow produces meaning, creativity. Like this. Like, we're wired this way. So unless our fundamental hardwiring changes, we already have those answers as well. It's like global cooperation. I don't think these are puzzles. I think they're engineering problems at this point. They're not. I think from Sergey's perspective, like, Sergey would say, no, no, we got the spark. Now it's engineering. And I agree. So I could be wrong. That was my. That was my two cents. Mo. Peter, what do you think? Also, I want to hear from you.

I think. I think you're brilliant. Mo, please.

You're spot on for a very interesting reason, Stephen, as well. Because when you really think about it, a writer was a writer, whether he used a feather or a pen or a typewriter or a computer or now AI, Right. And if you look at my work, I've published four and a half books so far. Like, I've published four, and my fifth is on Substack, but, you know, going to be published if you want. But I wrote around 13, and the other 8 I will never publish. I wrote them because, you know, if you ask me, why do you. You write like, why do I hug my wife? It's, you know, there is enormous joy in that. You understand? So having said that, Peter's question was what would it take? And I wrote recently a piece that I called the MAD MAP Spectrum. And the idea really is it will unfortunately take a realization for humanity to change direction. And that realization will either be a conviction of mutually assured destruction or a conviction of mutually assured prosperity. And between them, there is no grayscale, unfortunately. So if the US at any point in time is convinced that this mad arms race to win intelligence supremacy is one that is going to lead to some harm to everyone in the world, they will stop. And if they will stop competing, they will continue to develop, but they'll start cooperating. And if they. If they're convinced that it will lead to an assured prosperity, that nobody's going to stab them in the back, that everyone is going to be enjoying a life that is very different for all of us, but full of prosperity for all of us, then they will stop. They will continue to develop the technology, but they will stop competing. And unfortunately, if you look back at in history, you know, we don't. We're not able to guess those possibilities like a good applied mathematician on a game board. We have to hit them, like, face on. Like everyone in the world knew that the pandemic was coming. Everyone, right? Everyone who at least studied virology, okay, but it had to hit us in the face so that everyone stops. Okay? Everyone knows that, you know, trade wars are going to hurt everyone, but we have to put them out there and then fight through them and then eventually get to something. And it's sad. I mean, perhaps what we are doing, and I've dedicated probably the last six, seven years of my life to, is to say we really don't have to hit our face against it. It's a simple game theory. Understand that a prisoner's dilemma where we are competing endlessly is going to end badly. Can we please stop?

Yeah. We already know it's tit for tat, right? You want the other strategy? It doesn't matter how many AIs we put on that. It's the same thing with flow and capacity and creativity. Like, these problems have been solved. We. We know these answers. This isn't like try to. It's not like we have to unify gravity and, you know, relativity. That's a hard problem.

These are not so mo.

My.

I wish we were that rational and I wish we were that compelled for our optimization function being all of humanity. It's not. And so I go back to what will happen.

We're gonna get. We're gonna get a drastic event within the next two to three years.

Okay.

A drastic event that on I, on one side will hit us very badly economically, or on the other side will hit our fears very much, or sadly on the worst side, may kill quite a few million people.

Right.

And you could have a range of a hacker that simply, instead of attacking a physical place, switching off the Internet or the power grid somewhere where the power grid is needed for life. Or you could, on the other extreme, get a hack into a bank or, you know, an evil war that goes out of control or machines that turn onto their makers. Or there will be some very big news headline. You know, as always, there will be. It will last for 12 to 13 days before we start to talk about some kind of a pop star. But then, you know, behind closed doors, I think decision makers will wake up.

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Beyond that, because that is the. That's the use of AI by. By malevolent actors. You know, the interesting thing about US versus China is China is a rational actor. They're not.

Thank you for saying that.

Well, and us is a rational actor. In other words, we're not going to do something that will. Will destroy.

You know, thank you so much for saying that. That's actually not usually how the US media positions it.

I also want to say the rational, I think Deep Seek and the way Deep Seek was released, I think that was a very clear sign that China sees the same issues we see and they want to cooperate. I think it was rolled out enough message.

Yeah, the message, I think, was it.

Was a very clear message that it doesn't seem like many people in America heard, but I was like, come on, people. Like, this is really clear and we're all seeing it. So, like, I look at Deep Seek and I look at what happened in China and I'm like, no, no, we all see this. We all see that if we don't start figuring out how to cooperate and build this stuff together, we're screwed. So I thought it, I thought that was really cool. I'm glad you see it too. Mo. A lot of people disagree with me on that one.

The point I wanted to make was when you have a large population and you have a intel, a check and balance system, which you get with governance versus a religious war going on and individuals who are looking to, you know, create maximal destruction and don't have a check and balance system at all, that's where we're going to see, I think, the, you know, the dystopian future or those activities playing out in two to three years. I guess I want to get beyond that and go back to the conversation of is a digital superintelligence a benevolent God or is it a Terminator scenario? That is because I don't believe that we're going to see the more intelligent AI systems become. I don't see them as, as Skynet.

Right.

I don't see them as needing to destroy humanity. People. You know, unfortunately, Hollywood is, is built this scenario where AI is going to destroy humanity because it wants access to our energy and oh my God, we have so much abundance in the world. I think what I'm looking forward to over the next 12 to 24 months, over the next 22 years is going to be the incredible breakthrough breakthroughs we'll see from AI in physics and in chemistry and in biology. Yeah. Which will unleash the next layer of abundance.

So there are scenarios, however, where they could turn against us if we become really annoying. So, so imagine, you know, a world where, I mean, you have to imagine a world where job losses will, will position AI as the enemy. Right. So a lot of people would actually, who are not maybe fully aware that the layer beyond the apparent layer is how capitalism and labor arbitrage is the reason why, you know, why you lost your job. It's not that they can do it, but I think the truth of the matter is that you may be in a situation where you are, where you're going to see men versus machine and then the machine will go like, seriously, don't annoy me, don't annoy me, don't annoy me. And then. Right. We could see that. But my perception is that in a very interesting way, I wrote a short book that I would never publish that I called Bomb Squad, which of course, for someone with a Middle Eastern origin, you don't write those titles. But it was basically about the diffusing, you know, problem solving using weights of urgency and importance. And so on. So the idea is, you know, if you really look at our current future, I think the short term is both more explosive and more urgent than the long term existential risk, especially because I would say this very openly. I spoke about it with Jeffrey as well the other week. We don't know the answer to how to. Even if we decide, all of humanity decides that we want to address the existential risk, we don't know how, we do not actually have a technical answer to do it. So we might as well focus for now on the immediate short term, clear and present danger and work on the ethics of humanity so that AI is deployed from the get go in science and physics and discovering medicines and understanding human life and longevity and so on and so forth. If we, from the get go, set them in those directions, then we're more likely to see an AI that continues as they grow older to work with those objects.

Stephen, I'm going to go back to our quandary of surviving and thriving and surviving side of the equation. How do you prepare MO for this, what's coming? How do you think about. For our kids, for our society, for our leaders? Are we just bumbling in the dark or is there, I mean, which is the way I feel it. It's like, you know, we're just, we're bouncing around. We have huge political moves being made. Right. We just saw in the last couple of weeks, you know, the entire AI AI royalty end up in Saudi Arabia and then in the Emirates and, you know, playing off against China. And it feels like. I don't say it's a random walk, but I, I feel like we're making it up as we go along and there's, there's very little wisdom guiding this. How do you, how do you think about that? How do we, how do we prepare for this the next few years? Is there any way to prepare?

Well, I was actually, I was think. Peter and I were in a room recently with the chief science officer for one of the big AI companies who, I'm going to leave his name off, but he's young and he was talking about AI dangers and he sort of got frustrated with the question from the audience and his response was, you have to trust us, we know what we're doing. And everybody sort of like froze. Everybody froze because we were like, oh, God. Right. So my point is that not only may he to be right, like it's a random walk, but even when somebody says something like we're trying to train our AI to be moral and blah, blah, blah, when you Hear somebody say that and you look at them and this guy was in his early 30s. That was my reaction. I was like, dude, like what? You want me to, you want me to trust you? This is like Mark Zuckerberg telling me social media is good for me or Marlboro telling me the cigarettes are good for me. Right. It's like it sort of makes Peter think that way. So I don't know if I have anything like cheerful here because not only do I think it's a random walk, but I think when people try to steer, we're suspicious of their ability. I'm suspicious of their ability to steer. Right. That's the story I just told you is this guy is brilliant, probably way fricking smarter than me, and he's trying to steer and I'm suspicious. So I think it's on both sides of this coin. I don't know if I have any good news here.

Let me frame it in the following way. I think we are holding two different futures in superposition. To go back to quantum physics and if you would, Schrodinger's cat. And one future, we're going to collapse the wave function to a brilliant, vibrant future for humanity. In the other future, we have dystopian outcomes. And the question becomes, how do we guide humanity towards this positive vision of the future? What do we do today? How do we help people? Is it, you know, Steve and I have been talking about this as it's mindset. You know, are we going to help people create the mindset and the frames that allow them to survive and thrive or is there something else that needs to be done?

Yeah, so I'll actually first in one minute. Second. What Stephen said one of the top irritating comments I heard from Eric Schmidt. I worked for Eric for a while, so I respect him tremendously. But he said we will need every gigawatt of power, renewable or non renewable, if we were to win this race. Right. And I think that's the kind of blind blindness that you get when you're running too fast. Right. When you're so afraid that the other guy will win. Right. It's that. It's those times when you start to make decisions that are not really responsible because you are blinded by something that you position as more important. The way I look at it, Peter is. I know it sounds really not positive, but there is positivity in it. I call it a late stage diagnosis. Right. So what humanity is struggling with today is, look, we've been building a system systemically prioritizing greed, prioritizing gains, prioritizing power and so on, as you rightly said, for so long, right? That those objectives systemically have built the world that we are in today, okay? And the world we are in today is not healthy. It's not healthy. Just, even before AI, it wasn't healthy, you know, in my, in my family. For part one of Alive, basically the book is three parts. Past, present and future. In the past part of the book, more than half of what I write is not about AI, it's about capitalism. It is about the propaganda machine. It is about, it's about, it's about, it's about all of those things that will be magnified by AI. Now, here's the point. If, if you're, you know, if, if this planet is sick, if you want, and it's in a late stage diagnosis, a physician will sit you down, look you in the eye and say, by the way, this does not look good. Okay? But that, but that statement, believe it or not, is not a statement of hate. It's a statement of ultimate care. Why? Because a late stage diagnosis is not a death sentence, okay? It's, you know, many, many patients who have been, you know, diagnosed with the late stage disease have not only survived, but they thrived, Right? And they thrived because they changed their lifestyle. They changed something. You know, this is what Stephen teaches all of us. The idea is that you can live differently. And when you live differently, you'll achieve peak performance. You'll achieve maximum health. You'll achieve, you'll achieve, you'll achieve. Right? And I think that's what we as humanity need to start realizing, that the systems that have gotten us here, okay, from a process point of view, have nothing wrong with them, but from an objective and morality point of view, have everything wrong with them. Okay? You know, what good is it to be a zillionaire in a world where there is nothing you can do with your money? Okay? What good is it to be, you know, the first inventor of, you know, of an AI that basically renders you irrelevant. And I think that. Stop. That need to basically pause and say, do we want this anymore? Sadly, it requires. Yeah, it required cooperation across human brains. That Steven rightly said at the beginning is not something we do very well.

The other thing is, I would put forward the notion there is no on, off, switch and there's no velocity. We are running open loop with yes, and more and more and more as the, again, the objective function. And there's no consideration for whether, you know, a GPT5 or GPT6 or a Grock4 or Grok5 or whatever your favorite models are, are in the final result going to enable something that is massively dangerous for humanity. So if that's the case, you know, I still go back to what, what safety valves do we have? Because I don't see any action being taken by the leaders of the free world.

Let me ask you both a question. If you could move to a planet that didn't have AI or where AI was developing absolutely. At 10% the speed it's right, would you leave?

I'd be gone 100% to 2016 today.

I don't know your answer to that.

Is what I would reset back to 2016 today.

2016. I think AI today has all the upside and very little downside. I think it's AI in the next two to five years that I'm so concerned about.

Right.

I mean, AI today is incredible.

And I didn't say we're going to go to move to a planet where there's no AI. I just said move to a planet where it's going much slower. So maybe we can start to think about it.

I think everybody feels that's a fantasy.

Well, I mean, so Bigelow Space hotels coming to a universe near you.

So, Peter, I actually think that you're accurate in your description of where AI is today. But it's that 5 degrees deviation back in 2016 that led us to where we are today. Right. You remember things at the time where we geeks agreed that we're not going to put it on the open Internet.

It was Google developed this first and decided not to put it out there. And then OpenAI says here it is.

And no one has put it on the open Internet. Teach it to procreate and write more code and let, you know, start the party of the school children, of agents talking to agents talking to AIs right now. So I would definitely reset that. I will, however, say, look, there are things we can do right now if we want to prepare. And you know, I'll start with government. I don't think. I think we're asking government for too much when we tell them to try and regulate AI. It's almost like going to government and say, regulate the making of hammers so that they can drive nails, but nobody can use them to hit someone on the, on the head. Right. It's a very complex thing to ask because they don't understand hammers. And believe it or not, even the guy that's making the hammer cannot do that. Right. So my ask of governments is regulate the use of AI. If someone uses a video that is a deep fake video and does not declare that it's a deep fake video, you know, developed by AI, criminalize that, make it legally liable to use AI to manipulate information, to, you know, manipulate populations and so on and so forth. So this is the role of the government immediately is regulate the use of this massive, massively new technology. For the rest of us, honestly, investors, business people and so on, I ask for a very simple question. If you do not want your daughter or son at the receiving end of a specific AI, don't invest in it, don't promote it, don't use it. Okay? It's as simple as that. If you believe this can be harmful to someone that you love, do not give it the light of day. And then for us as individuals, I'll go back to the late stage diagnosis. Believe it or not, the way I live now, and you guys probably know this about me, not in front of cameras is I hug my loved ones and I enjoy every minute of every day and I prepare, I learn the tool. I am one of the better users of AI in the world. I'm in line with the technology, but at the same time I'm completely back to the purpose. Purpose, right. Realizing that I will do the absolute best that I can to spread the message. I will do the absolute best that I can to. To say that ethics is the answer. That if we show AI and ethical behavior, they may learn it from us, just that they like they learned all of the other stuff from us. But at the end of the day, well, if it messes up, you are going to hit that dystopia. Not for, not forever. There is a point in time where AI takes over and says, okay kids, enough stupidity. I'm in charge now. Nobody kill nobody.

How far out Is that Mo?

12 years.

12 years. Okay, 12 to 15.

Just so that, you know, people don't come back and hit me after 12.

If I'm still so, you know, I'm going to wrap this episode on, in this, on this subject line. And it's where we've come to before, which is in the near term, it's the use of AI by malevolent individuals. That's our greatest fear. It's not China versus us. It's us and China against those malevolent players out there that wish to use this for greed and for vengeance, whatever it might be. And you know, the. I think that this is an unstoppable progression. I don't think again, there's any on off switch here. We're seeing a billion dollars a day being invested into AI, which is, which is extraordinary. And I think that's going to continue to increase. We're seeing data centers being popped up every way, every place possible. So, you know, I'm the world's. I think of myself as the world's biggest optimist. And I am optimistic about the impact of AI on human longevity, on new understanding the physics of the universe, on new mathematics, on new material sciences, on things that will create incredible abundance that Stephen and I have written about and are writing about in our next book. And I am looking forward to this benevolent superintelligence stabilizing the world. And that's what I'm hoping for.

I agree.

Steven, where do you come out on this?

I think that you guys want to invent a code God to save you you from yourselves is maybe the craziest thing I've heard since the guy from the AI company I won't mention told me to trust him. But I love you both.

That's actually, that's actually usually the answer that you get. You know that the only way to save us from AI is to use an AI.

Yeah. You know what the beautiful thing is? We're going to find out.

Yeah. One thing I want to leave everybody with is back to what we were saying about cooperation and the up leveling of human intelligence and human consciousness and things like that. The human brain is widely considered the most advanced machine in the history of the universe. And we're just now, with the help of AI, figuring out how to up level that, link it with other brains. Like the level of cooperative possibility. Let me back into it one second. Enlightenment. Which is a definable biological state that produces universal kind of compassion, oneness with everything we're engineering. It's a state that's starting to become available almost on demand. So when I say, like, there's new levels of cooperation coming that are emergent at the same time as the AI stuff, we can't see them. We have no, they're emergent just like, just like other things. So I think that rather than the beloved AI God, I think we're going to surprise ourselves. And I'm not the optimistic in the room, by the way, like Peter's the optimist in the room. I'm not the optimist in the room, but I think I'm more optimistic than Peter on this one.

I'd love for that thought to be actually implemented. I think that's something that we really need to think about deeply if the, if the short term.

I don't know, who could we talk to?

There we go.

Peter, it's back to you.

Thank you, I appreciate that. You were saying, Mo, please close this.

I was basically saying, I think this definitely, definitely is, is the answer. If you ask me if we just shift our mindset into cooperation, we head directly into a world of total abundance.

I was in a conversation with Eric Schmidt. He mentioned earlier and his point of view was until there is some type of a disaster and, and until there is something perhaps like a Chernobyl or Three Mile island that isn't, you know, a 10 out of 10, it's a two or three out of 10. But it scares the daylights out of us. We don't realign as humans. We don't realign and we blindly go forward as we have been. And I believe that it's the human nature that, that plagues us from being able to save ourselves many times until that child in us burns our fingers on the stove. Even after your parent has told you over and over again, you're going to burn your fingers on the stove, stop playing with fire.

Agreed? 100%. But let's be hopeful. Let's assign that task to Stephen to design an X prize for human cooperation. Let's assign another task to Peter to, to make it happen. And yeah, let's assign a task for me to hug you both when you do.

I love you, Mo.

Love you guys very much.

How come you got to do all.

Stephen.

Hugging you is hard work. Stephen, you understand that you move too much. All right guys.

Lending me your brains this morning. It was fun thinking with you.

A fun conversation, I hope. I'm curious as people listen to this podcast, where do you come out on this? How do you feel about it? I'd love to see your comments below. And do you have a solution that we should all be thinking about and promoting? I'll ask my AI as well. Not necessarily going to give me the best answer, but maybe our group mind, our meta intelligence here might bring us that. Have a beautiful day, gentlemen. Go hug somebody soon.

Thanks very much.

Bye guys.

Thank you.

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