Dr. Roman Yampolskiy: Why AGI safety has no clean fix

Steven Bartlett 0:00 You've been working on AI safety for two decades at least.

Dr. Roman Yampolskiy 0:02 Yeah. I was convinced we can make safe AI, but the more I looked at it, the more I realized it's not something we can actually do.

Steven Bartlett 0:09 You have made a series of predictions about a variety of different dates. So, what is your prediction for 2027?

Dr. Roman Yampolskiy 0:18 (sighs)

Steven Bartlett 0:19 Dr. Roman Yampolskiy is a globally recognized voice on AI safety, and associate professor of computer science. He educates people on the terrifying truth of AI... And what we need to do to save humanity.

Dr. Roman Yampolskiy 0:30 In two years, the capability to replace most humans and most occupations will come very quickly. And then in five years, we're looking at a world where we have levels of unemployment we've never seen before. Not talking about 10%, but 99%.

Narrator 0:44 (beep) .

Dr. Roman Yampolskiy 0:45 And that's without super intelligence, a system smarter than all humans in all domains. So, it would be better than us at making new AI, but it's worse than that. We don't know how to make them safe, and yet we still have the smartest people in the world competing to win the race to super intelligence.

Steven Bartlett 1:00 But what do you make of people like Sam Altman's journey with AI?

Dr. Roman Yampolskiy 1:04 So, a decade ago we published guardrails for how to do AI right. They violated every single one, and he's gambling eight billion lives on getting richer and more powerful. So, I guess some people want to go to Mars, others want to control the universe. But it doesn't matter who builds it. The moment you switch to super intelligence, we will most likely regret it terribly.

Steven Bartlett 1:25 And then by 2045...

Dr. Roman Yampolskiy 1:28 Now, this is where it gets interesting.

Steven Bartlett 1:30 Dr. Roman Yampolskiy. Let's talk about simulation theory.

Dr. Roman Yampolskiy 1:33 I think we are in one, and there is a lot of agreement on this. And this is what you should be doing in it, so we don't shut it down. First...

Steven Bartlett 1:42 I see messages all the time in the comments section that some of you didn't realize you didn't subscribe, so if you could do me a favor and double-check if you're a subscriber to this channel, that would be tremendously appreciated. It's the simple, it's the free thing that anybody that watches this show frequently can do to help us here to keep everything going in this show and the trajectory it's on. So, please do double-check if you've subscribed, and, uh, thank you so much. Because in a strange way, you are- you're part of our history, and you're on this journey with us, and I appreciate you for that. So, yeah, thank you. Dr. Roman Yampolskiy. What is the mission that you're currently on, 'cause it's quite clear to me that you are on a bit of a mission, and you've been on this mission for, I think, the best part of two decades at least.

Dr. Roman Yampolskiy 2:26 I'm hoping to make

Dr. Roman Yampolskiy 2:28 sure that super intelligence we're creating right now does not kill everyone.

Steven Bartlett 2:37 Give me some, give me some context on that statement, 'cause it's quite a shocking statement.

Dr. Roman Yampolskiy 2:42 Sure. So, in the last decade, we actually figured out how to make artificial intelligence better. Turns out if you add more compute, more data, it just kind of becomes smarter. And so now, smartest people in the world, billions of dollars, all going to create the best possible super intelligence we can. Unfortunately, while we know how to make those systems much more capable, we don't know how to make them safe. How to make sure they don't do something we will regret. And that's the state of the art right now. When we look at just prediction markets, how soon will we get to advanced AI? The timelines are very short, couple of years, two, three years, according to prediction markets, according to CEOs of top labs. And at the same time, we don't know how to make sure that those systems are aligned with our preferences. So, we're creating this alien intelligence. If aliens were coming to Earth and you, you had three years to prepare, you would be panicking right now. But most people don't, don't even realize this is happening.

Steven Bartlett 4:00 So, some of the counterarguments might be, "Well, these are very, very smart people. These are very big companies with lots of money. They have a obligation and, a moral obligation, but also just, uh, uh, a legal obligation to make sure they do no harm, so I'm sure it'll be fine."

Dr. Roman Yampolskiy 4:14 The only obligation they have is to make money for their investors. That's the legal obligation they have. They have no moral or ethical obligations. Also, according to them, they don't know how to do it yet. The state of the art answers are, "We'll figure it out when we get there," or, "AI will help us control more advanced AI." That's insane.

Steven Bartlett 4:34 In terms

Steven Bartlett 4:35 of probability, what do you think is the probability that something goes catastrophically wrong?

Dr. Roman Yampolskiy 4:40 So, nobody can tell you for sure what's going to happen. But if you're not in charge, you're not controlling it, you will not get outcomes you want. The space of possibilities is almost infinite. The space of outcomes we will like is tiny.

Steven Bartlett 4:56 And

Steven Bartlett 4:57 who are you and how long have you been working on this?

Dr. Roman Yampolskiy 5:01 I'm a computer scientist by training. I have a PhD in computer science and engineering. I probably started work in AI safety, mildly defined as control of bots at the time, uh, 15 years ago.

Steven Bartlett 5:17 15 years ago? So you've been working on AI safety before it was cool?

Dr. Roman Yampolskiy 5:21 Before the term existed. I coined the term "AI safety."

Steven Bartlett 5:24 So you're the founder of the term "AI safety"?

Dr. Roman Yampolskiy 5:26 The term, yes. Not the field. There are other people who did brilliant work before I got there.

Steven Bartlett 5:31 Why were you thinking about this 15 years ago? Because most people have only been talking about the term "AI safety" for the last two or three years.

Dr. Roman Yampolskiy 5:37 Yeah, it started very mildly, just as a security project. I was looking at poker bots, and I realized that the bots are getting better and better. And if you just project this forward enough, they're gonna get better than us. Smarter, more capable. And it happened. They are playing poker way better than average players. But more generally, it will happen with all other domains. All the other cyber resources.I wanted to make sure AI is a technology which was beneficial for everyone, so I started work on making AI safer.

Steven Bartlett 6:14 Was there a particular moment in your career where you thought, "Oh my god."?

Dr. Roman Yampolskiy 6:19 First five years at least, I was working on solving this problem. I was convinced we can make this happen, we can make safe AI, and that was the goal. But the more I looked at it, the more I realized every single component of that equation is not something we can actually do. And the more you zoom in, it's like a fractal. You go in and you find 10 more problems, and then 100 more problems. And all of them are not just difficult, they're impossible to solve. There is no seminal work in this field where like, we solved this, we don't have to worry about this. There are patches, there are little fixes we put in place, and quickly people find ways to work around them, they jailbreak whatever safety mechanisms we have. So, while progress in AI capabilities is exponential or maybe even hyper-exponential, progress in AI safety is linear or constant. The gap is increasing.

Steven Bartlett 7:16 The gap between the rate-

Dr. Roman Yampolskiy 7:19 How capable the systems are and how well we can control them, predict what they're gonna do, explain their decision-making.

Steven Bartlett 7:27 I think this is quite an important point because y- you said that we're basically patching over the issues that we find. So, we're developing this, this core intelligence, and then to stop it doing things or to stop it showing some of its unpredictability or its threats, the companies that are developing this AI are programming in code over the top to say, "Okay, don't swear. Don't say that rude word. Don't do that bad thing."

Dr. Roman Yampolskiy 7:51 Exactly, and you can look at other examples of that. So, HR manuals, right? We have those humans, they're general intelligences, but you want them to behave in a company. So they have a policy, no sexual harassment, no this, no that. But if you're smart enough you always find a workaround, so you're just pushing behavior into a different, not yet restricted subdomain.

Steven Bartlett 8:14 We,

Steven Bartlett 8:15 we should probably define some terms here. So there's narrow intelligence which can play chess or whatever. There's artificial general intelligence which can operate across domains, and then superintelligence which is smarter than all humans in all domains. And where are we?

Dr. Roman Yampolskiy 8:29 So that's a very fuzzy boundary, right? We definitely have many excellent narrow systems. No question about it, and they are super intelligent in that narrow domain. So, uh, protein folding is a problem which was solved using narrow AI, and it's superior to all humans in that domain. In terms of AGI, again, I said if we showed what we have today to a scientist from 20 years ago, they would be convinced we have full-blown AGI. We have systems which can learn, they can perform in hundreds of domains and be better than human in many of them.

Steven Bartlett 9:03 Mm-hmm.

Dr. Roman Yampolskiy 9:03 So, you can argue we have a weak version of AGI. Now, we don't have superintelligence yet. We still have brilliant humans who are completely dominating AI, especially in science and engineering, but that gap is closing so fast. You can see, especially in the domain of mathematics. Three years ago, large language models couldn't do basic algebra, multiplying three-digit numbers was a challenge. Now, they helping with mathematical proofs, they winning mathematics Olympiads, competitions. They are working on solving millennial problems, hardest problems in mathematics. So in three years, we closed the gap from subhuman performance to better than most mathematicians in the world, and we see the same process happening in science and engineering.

Steven Bartlett 9:54 You have made a series of predictions, and they correspond to a variety of different dates, and I have those dates in front of me here. What is your prediction for the year 2027?

Dr. Roman Yampolskiy 10:07 We're probably looking at AGI as predicted by prediction markets on tops of the labs.

Steven Bartlett 10:14 So we'd have artificial general intelligence by 2027? And how would that make the world different to how it is now?

Dr. Roman Yampolskiy 10:22 So, if you have this concept of a drop-in employee, you have free labor, physical and cognitive, trillions of dollars of it, it makes no sense to hire humans for most jobs. If I can just get, you know, a $20 subscription or free model to do what an employee does, first anything on a computer will be automated, and next, I think humanoid robots are maybe five years behind. So, in five years, all the physical labor can also be automated. So, we're looking at a world where we have levels of unemployment we've never seen before. Not talking about 10% unemployment, which is scary, but 99%. All you have left is jobs where, for whatever reason, you prefer another human would do it for you. But anything else can be fully automated. It doesn't mean it will be automated in practice. A lot of times technology exists, but it's not deployed. Video phones were invented in the '70s. Nobody had them until iPhones came around. So, we may have a lot more time with jobs and with world which looks like this-

Steven Bartlett 11:30 Mm-hmm.

Dr. Roman Yampolskiy 11:30 ... but capability to replace most humans in most occupations will come very quickly.

Steven Bartlett 11:38 Hmm. Okay, so let's try and drill down into that and, and stress test it. So, a podcaster like me, would you need a podcaster like me?

Dr. Roman Yampolskiy 11:52 So let's look at what you do.

Steven Bartlett 11:54 Yeah.

Dr. Roman Yampolskiy 11:54 You prepare.

Steven Bartlett 11:55 Yeah.

Dr. Roman Yampolskiy 11:55 You ask questions.

Steven Bartlett 11:58 Mm-hmm.

Dr. Roman Yampolskiy 11:58 You ask follow-up questions, and you look good on camera.

Steven Bartlett 12:01 Thank you so much.

Dr. Roman Yampolskiy 12:02 Let's see what we can do. Large language model today can easily read everything I wrote-

Steven Bartlett 12:07 Yeah.

Dr. Roman Yampolskiy 12:07 ... and have very solid understanding, but I, I assume you haven't read every single one of my books.

Steven Bartlett 12:12 No, yeah.

Dr. Roman Yampolskiy 12:12 That thing would do it. It can train on every podcast you ever did, so it knows exactly your style, the types of questions you ask. It can also-... find correspondence between what worked really well, like this type of question really increased views, this type of topic was very promising, so we can optimize, I think, better than you can-

Steven Bartlett 12:34 Yeah.

Dr. Roman Yampolskiy 12:34 ... because you don't have a data set. Of course, visual simulation is trivial at this point.

Steven Bartlett 12:39 So, it can make a video within seconds of me sat here and...

Dr. Roman Yampolskiy 12:42 So, we can generate videos of you interviewing anyone on any topic very efficiently, and we just have to get likeness approval, whatever.

Steven Bartlett 12:53 Are there many jobs that you think would remain in a world of AGI? If you're saying AGI is potentially gonna be here, whether it's deployed or not, by 2027, what ki- a- and- and then, okay, so let's take out of this any physical labor jobs for a second! Are there any jobs that you think a human would be able to do better in a world of AGI... still?

Dr. Roman Yampolskiy 13:14 So, that's the question I often ask people. In a world with AGI... and I think almost immediately we'll get super intelligence as a side effect, so the question really is, in a world of super intelligence, which is defined as better than all humans in all domains, what can you contribute? And so, you know better than anyone what it's like to be you. You know what ice cream tastes to you. Can you get paid for that knowledge? Is someone interested in that? Maybe not, not a big market. There are jobs where you want a human. Maybe you're rich and you want a human accountant for whatever historic reasons. Old people like traditional ways of doing things. Warren Buffett would not switch to AI, he would use his human accountant. But it's a tiny subset of a market. Today, we have products which are man-made in U.S. as opposed to mass-produced in China, and some people pay more to have those. But it's a small subset. It's a, almost a fetish.

Steven Bartlett 14:18 (clears throat)

Dr. Roman Yampolskiy 14:18 There is no practical reason for it, and I think anything you can do on a computer could be automated using that technology.

Steven Bartlett 14:27 You must hear a lot of rebuttals to when- this when you say it, because people experience a huge amount of mental discomfort when they hear that their job, their career, the thing they got a degree in, the thing they-

Dr. Roman Yampolskiy 14:38 Mm-hmm.

Steven Bartlett 14:38 ... invested $100,000 into is gonna be taken away from them, so their natural reaction s- for some people is that cognitive dissonance, that, "No, you're wrong. AI can't be creative, it's not this, it's not that. It'll never be interested in my job. I'll be fine because..." You hear these arguments all the time, right?

Dr. Roman Yampolskiy 14:55 It's really funny. I ask people, and I ask people in different occupations. I've asked my Uber driver, "Are you worried about self-driving cars?" And they go, "No. No one can do what I do. I know the streets of New York, I can navigate like no AI. I'm safe." And it's true for any job. Professors are saying this to me, "Oh, nobody can lecture like I do. Like, this is so special." But you understand it's ridiculous, we already have self-driving cars replacing drivers. That is not even a question if it's possible. It's like, how soon before you're fired?

Steven Bartlett 15:30 Yeah, I mean, I've just been in LA y- uh, yesterday, and, uh, my car drives itself. So, I get in the car, I t- set the put in where I want to go, and then I don't touch the steering wheel or the brake pedals. And it takes me from A to B even if it's an hour-long drive without any intervention at all. I actually, um, still park it, but other than that, I'm not, I'm not driving the car at all.

Dr. Roman Yampolskiy 15:49 Yeah.

Steven Bartlett 15:49 I mean, obviously, in LA we also have Waymo now, which means you order on your phone and it shows up with no driver in it and takes you to where you want to go.

Dr. Roman Yampolskiy 15:57 Oh, yeah.

Steven Bartlett 15:58 So, it's quite clear to see how that is potentially a matter of time. Uh, for those people, 'cause we do have some of those people listening to this conversation right now, that their occupation is driving, to offer them a... and I think driving is the biggest emp- occupation in the world, if I'm correct. I f- I'm pretty sure it is the biggest occupation in the world.

Dr. Roman Yampolskiy 16:17 Could be one of the top ones, yeah.

Steven Bartlett 16:20 What would you say to those people? What, what should they be doing with their lives? What- should they, should they be retraining in something, or what time frame?

Dr. Roman Yampolskiy 16:26 So, that's the paradigm shift here. Before we always said this job is going to be automated, retrain to do this other job. But if I'm telling you that all jobs will be automated, then there is no plan B. You cannot retrain. (inhales) Look at computer science. Two years ago, we told people, "Learn to code."

Steven Bartlett 16:47 Hmm.

Dr. Roman Yampolskiy 16:47 "You are an artist, you cannot make money, learn to code." Then we realized, "Oh, AI kinda knows how to code and getting better. Become a prompt engineer. You can engineer prompts for AIs, it's gonna be a great job. Get a four-year degree in it." But then we're like, "AI is way better at designing prompts for other AIs than any human." So, that's gone. So, I can't really tell you, "Right now the hottest thing is design AI agents for practical applications," and guarantee you in a year or two it's gonna be gone just as well. So, I don't think there is a, "This occupation needs to learn to do this instead." I think it's more like, we as a humanity, then we all lose our jobs. What do we do? What do we do financially? Who's paying for us? And what do we do in terms of meaning? What do I do with my extra 60, 80 hours a week?

Steven Bartlett 17:42 You've th- thought around this corner, haven't you?

Dr. Roman Yampolskiy 17:45 A little bit.

Steven Bartlett 17:46 What is around that corner, in your view?

Dr. Roman Yampolskiy 17:49 So, the economic part seems easy. If you create a lot of free labor, you have a lot of free wealth, abundance, things which are right now not very affordable become dirt cheap, and so you can provide for everyone basic needs. Some people say you can provide beyond basic needs, you can provide very good existence for everyone. The hard problem is, what do you do with all that free time? For a lot of people their jobs are what gives them meaning in their life, so they would be kind of lost. We see it with people who, uh, retire or do early retirement. And for so many people who hate their jobs, they'll be very happy not working, but now you have people who are chilling all day-... what happens to society? How does that impact crime rate, pregnancy rate? All sorts of issues nobody thinks about. Governments don't have programs prepared to deal with 99% unemployment.

Steven Bartlett 18:45 Hmm. What do you think that world looks like?

Dr. Roman Yampolskiy 18:51 Again, I, I think-

Steven Bartlett 18:51 That you're gonna be doing?

Dr. Roman Yampolskiy 18:52 ... the very important part to understand here is the unpredictability of it. We cannot predict what a smarter than us system will do, and the point when we get to that is often called singularity, by analogy with physical singularity. You cannot see beyond the event horizon. I can tell you what I think might happen, but that's my prediction. It is not what actually is going to happen, because I just don't have cognitive ability to predict a much smarter agent impacting this world. When you read science fiction, there is never a super intelligence in it actually doing anything, because nobody can write believable science fiction at that level. They either bend AI, like Dune, because this way you can avoid writing about it. Or it's like Star Wars, you have this really dumb bots, but n- nothing super intelligent, ever. 'Cause by definition, you cannot predict at that level.

Steven Bartlett 19:50 Because by definition of it being super intelligent, it will make its own mind up, or-

Dr. Roman Yampolskiy 19:53 By definition, if it was something you could predict, you would be operating at the same level of intelligence, violating our assumption that it is smarter than you. If I'm playing chess with super intelligence and I can predict every move, I'm playing at that level.

Steven Bartlett 20:07 It's kinda like my French bulldog trying to predict exactly what I'm thinking and what I'm gonna do.

Dr. Roman Yampolskiy 20:12 That's a good cognitive gap, and it's not just, he can predict you going to work, you coming back, but he cannot understand why you're doing a podcast. That is something completely outside of his model of the world.

Steven Bartlett 20:24 (laughs) Yeah, he doesn't even know that I go to work. He just knows that I leave the house and doesn't know where I go.

Dr. Roman Yampolskiy 20:30 Buy food for him.

Steven Bartlett 20:31 What, what's

Steven Bartlett 20:32 the most persuasive argument against your own perspective here? That you think-

Dr. Roman Yampolskiy 20:37 That we will not have unemployment due to advanced technology?

Steven Bartlett 20:41 That there won't be this French bulldog/human gap in understanding and I guess, like, power and control.

Dr. Roman Yampolskiy 20:53 So, some people think that we can enhance human minds, either through combination with hardware, so something like Neuralink, or through genetic re-engineering to where we make smarter humans.

Steven Bartlett 21:06 Yeah.

Dr. Roman Yampolskiy 21:07 It may give us a little more intelligence. I don't think we're still competitive in biological form with silicon form. Silicon substrate is much more capable for intelligence. It's faster, it's more resilient, more energy efficient in many ways.

Steven Bartlett 21:22 Which is what computers are made out of, versus-

Dr. Roman Yampolskiy 21:24 Exactly.

Steven Bartlett 21:24 ... the brain. Yeah.

Dr. Roman Yampolskiy 21:26 So I don't think we can keep up just with improving our biology. Some people think maybe, and this is very speculative, we can upload our minds into computers, so scan your brain, kind of comb of your brain, and have a simulation running on a computer, and you can speed it up, give it more capabilities. But to me, that feels like you no longer exist. We just created software by different means, and now you have AI based on biology and AI based on some other forms of training. You can have evolutionary algorithms, you can have many paths to reach AGI, but at the end none of them are humans.

Steven Bartlett 22:04 I have another date here, which is 2030. What's your prediction for 2030? What will the world look like?

Dr. Roman Yampolskiy 22:15 So we probably will have, uh, humanoid robots with enough flexibility and dexterity to compete with humans in all domains, including plumbers. We can make artificial plumbers.

Steven Bartlett 22:28 Not the plumbers we're ... Th- that was, that felt like the last bastion of, uh, human employment. So 2030, 5 years from now, humanoid robots, so, so many of the companies, the leading companies including Tesla are developing humanoid robots at light speed and they're getting increasingly more effective. And these humanoid robots will be able to move through physical space, thought- you know, make an omelet, do anything humans can do, but obviously have, be connected to AI as well. So they can think, talk.

Dr. Roman Yampolskiy 23:00 Right. They're controlled by AI, they're always connected to the network, so they are already dominating in many ways.

Steven Bartlett 23:09 Our world will look remarkably different when humanoid robots are functional and effective, because that's really when, you know, I start thinking, Christ, like, the combination of intelligence and physical ability is really, really doesn't leave much, does it, for us, um, human beings.

Dr. Roman Yampolskiy 23:31 Not much. So today, if you have intelligence through internet, you can hire humans to do your bidding for you. You can pay them in Bitcoin, so you can have bodies just not directly controlling them, so it's not a huge game changer to add direct control of physical bodies. Intelligence is where it's at. The important component is definitely higher ability to optimize, to solve problems, to find patterns people cannot see.

Steven Bartlett 23:57 And

Steven Bartlett 23:58 then by 2045, I guess the world looks even m- even more, um... Which is 20 years from now.

Dr. Roman Yampolskiy 24:06 So if it's still around.

Steven Bartlett 24:08 If it's still around.

Dr. Roman Yampolskiy 24:09 Ray Kurzweil predicts that that's the year for the singularity. That's the year where progress becomes so fast, so this AI doing science and engineering work makes improvements so quickly, we cannot keep up anymore. That's the definition of singularity, point beyond which we cannot see, understand, predict.

Steven Bartlett 24:29 See and understand, predict the intelligence itself? Or-

Dr. Roman Yampolskiy 24:33 What is happening in the world? The technology is being developed. So right now, if I have an iPhone, I can look forward to a new one coming out next year, and I'll understand it has slightly better camera. Imagine now this process of researching and developing this phone is automated. It happens every six months, every three months, every month, week, day, hour, minute, second. You cannot keep up with 30 durations of iPhone in one day. You don't understand what capabilities it has, what proper controls are. It just escapes you. Right now, it's hard for any researcher in AI to keep up with the state of the art. While I was doing this interview with you, a new model came out, and I'll no longer know what the state of the art is. Every day, as a percentage of total knowledge, I get dumber. I may still know more because I keep reading, but as a percentage of overall knowledge, we're all getting dumber. And then you take it to extreme values, you have zero knowledge, zero understanding of the world around you.

Steven Bartlett 25:37 So some of the arguments against this eventuality are that when you look at other technologies, like the Industrial Revolution, people just found new ways to, to work and new careers that we could never have imagined at the time were created. How would you respond to that in a world of superintelligence?

Dr. Roman Yampolskiy 25:56 It's a paradigm shift. We always had tools, new tools which allowed some job to be done more efficiently. So instead of having 10 workers, you could have two workers, and eight workers had to find a new job. And there was another job. Now you can supervise those workers or do something cool. If you're creating a meta invention, you're inventing intelligence, you're inventing a worker, an agent, then you can apply that agent to the new job. There is not a job which cannot be automated. That never happened before. All the inventions we previously had were kinda a tool for doing something. So we invented fire. Huge game-changer, but that's it, it stops with fire. We invent the wheel. Same idea. Huge implications, but wheel itself is not an inventor. Here, we're inventing a replacement for human mind, a new inventor capable of doing new inventions. It's the last invention we ever have to make. At that point, it takes over, and the process of doing science, research, even ethics research, morals, all that is automated at that point.

Steven Bartlett 27:06 Do you sleep well at night?

Dr. Roman Yampolskiy 27:07 Really well.

Steven Bartlett 27:09 Even though you, you spent the last, what, 15, 20 years of your life working on AI safety, and it's suddenly among us in a, in a way that I don't think anyone could've predicted five years ago? When I say among us, I really mean that the amount of funding and talent that is now focused on reaching superintelligence faster has made it feel more inevitable and more soon than a- any of us could've possibly imagined.

Dr. Roman Yampolskiy 27:35 We as humans have this built-in bias about not thinking about really bad outcomes and things we cannot prevent. So all of us are dying. Your kids are dying, your parents are dying, everyone's dying, but you still sleep well, you still go on with your day. Even 95-year-olds are still doing games and playing golf and whatnot, 'cause we have this ability to not think about the worst outcomes, especially if we cannot actually modify the outcome. So that's the same infrastructure being used for this. Yeah, there is humanity-level death-like event. We're happening to be close to it probably, but unless I can do something about it, I, I can just keep enjoying my life. In fact, maybe knowing that you have limited amount of time left gives you more reason to have a better life. You cannot waste any.

Steven Bartlett 28:30 And that's a survival trait of evolution, I guess, because those of my ancestors that spent all their time worrying wouldn't have spent enough time having babies and hunting to survive.

Dr. Roman Yampolskiy 28:40 It's suicidal ideation. People who really start thinking about how horrible the world is usually escape pretty soon.

Steven Bartlett 28:47 Mm.

Steven Bartlett 28:52 One of the... You co-authored this paper, um, analyzing the key arguments people make against the importance of AI safety, and one of the arguments in there is that there's other things that are of bigger importance right now. It might be world wars, it could be nuclear containment, it could be other things. There's other things that the governments and podcasters like me should be talking about that are more important. What's your rebuttal to that argument?

Dr. Roman Yampolskiy 29:15 So superintelligence is the meta solution. If we get superintelligence right, it will help us with climate change. It will help us with wars. It can solve all the other existential risks. If we don't get it right, it, uh, dominates. If climate change will take 100 years to boil us alive, and superintelligence kills everyone in five, I don't have to worry about climate change. So either way, either it solves it for me, or it's not an issue.

Steven Bartlett 29:44 So you think it's the most important thing to be working on?

Dr. Roman Yampolskiy 29:47 Without question, there is nothing more important than getting this right. And I know everyone says if you take any class with... You take English professor's class and he tells you, "This is the most important class you'll ever take," but, uh, you can see the meta-level differences with this one.

Steven Bartlett 30:07 A- another argument in that paper is that we'll be in control, and that the danger is not AI. Um, this particular argument asserts that AI is just a tool. Humans are the real actors that present danger, and we can always main- maintain control by simply turning it off. Can't we just pull the plug out? I see that every time we have a conversation on this show about AI. Someone says, "Can't we just unplug it?"

Dr. Roman Yampolskiy 30:27 Yeah. I get those comments on every podcast I make, and I always wanna, like, get in touch with the guy and say, "This is brilliant. I never thought of it. We're gonna write a paper together and get a Nobel Prize for it." This is, like... Let's do it."... because it's so silly. Like, can you turn off a virus? You have a computer virus you don't like, turn it off. How about Bitcoin? Turn off Bitcoin network. Go ahead, I'll wait. This is silly. Those are distributor systems, you cannot turn them off. And on top of it, they're smarter than you. They made multiple backups, they predicted what you're going to do. They will turn you off before you can turn them off. The idea that we will be in control applies only to pre-superintelligence levels, basically what we have today. Today, humans with AI tools are dangerous, they can be hackers, malevolent actors, absolutely. But the moment superintelligence becomes smarter, dominates, they're no longer the important part of that equation. It is the higher intelligence I'm concerned about, not the human who may add additional malevolent payload, but at the end, still doesn't control it.

Steven Bartlett 31:32 It is tempting... to follow your ne- the next argument that I saw in that paper, which basically says, "Listen, this is inevitable, so there's no point fighting against it because there's really no hope here, so we should probably give up even trying and be faithful that it'll work itself out." Because everything you've said sounds really inevitable, and if, with, with China working on it, I'm sure Putin's got some secret division, I'm sure Iran are doing some bits and pieces, every European country's trying to get ahead of AI, the United States is leading the way. So it's, it's inevitable, so we probably should just have faith and pray?

Dr. Roman Yampolskiy 32:11 Well, prayer is always good, but incentives matter. If you are looking at what drives these people, so yes, money is important, so there is a lot of money in that space, and so everyone's trying to be there and develop this technology. But if they truly understand the argument, they understand that you will be dead, no amount of money will be useful to you, that incentive switch, they would want to not be dead. A lot of them are young people, rich people, they have their whole lives ahead of them. I think they would be better off not building advanced superintelligence, concentrating on narrow AI tools for solving specific problems, okay? My company cures breast cancer. That's all. We make billions of dollars, everyone's happy, everyone benefits, it's a win. We are still in control today. It's not over until it's over. We can decide not to build general superintelligences.

Steven Bartlett 33:07 I mean, the United States might be able to conjure up enough enthusiasm for that, but if the United States doesn't build general superintelligences, then China are gonna have the big advantage, right?

Dr. Roman Yampolskiy 33:19 So right now, at those levels, whoever has more advanced AI has more advanced military, no question. We see it with existing conflicts. But the moment you switch to superintelligence and control superintelligence, it doesn't matter who builds it, us or them. And if they understand this argument, they also would not build it. It's a mutually assured destruction on both ends.

Steven Bartlett 33:42 Is this technology different than, say, nuclear weapons, which require a huge amount of investment, and you have to, like, enrich the uranium, and you need billions of dollars potentially to even build a nuclear weapon? But it feels like this technology is much cheaper to get to superintelligence potentially, or at least it will become cheaper. I wonder if it's possible that some, some guy, some startup is gonna be able to build superintelligence in, you know, a couple of years without the need of-

Dr. Roman Yampolskiy 34:12 No.

Steven Bartlett 34:12 ... bi- you know, billions of dollars of compute and, or, or electricity power.

Dr. Roman Yampolskiy 34:16 That's a great point. So every year, it becomes cheaper and cheaper to train sufficiently large model. If today it would take a trillion dollars to build superintelligence, next year it could be 100 billion and so on. At some point, a guy and a laptop could do it. But you don't wanna wait four years for make it affordable, so that's why so much money is pouring in. Somebody wants to get there this year and lock in all the winnings, Lightcone level award. So in that regard, they're both very expensive projects, like Manhattan-level projects.

Steven Bartlett 34:49 Which was the nuclear bomb projects.

Dr. Roman Yampolskiy 34:51 Right. The difference between the two technologies is that nuclear weapons are still tools. Some dictators, some countries, someone has to decide to use them, deploy them. Whereas superintelligence is not a s- it's not a tool, it's an agent. It makes its own decisions, and no one is controlling it. I cannot take out this dictator, and now superintelligence is safe. So that's a fundamental difference to me.

Steven Bartlett 35:17 But if you're saying that it is gonna get inc- incrementally cheaper, like, I think it's Moore's Law, isn't it, that technology gets cheaper? (laughs)

Dr. Roman Yampolskiy 35:24 It is.

Steven Bartlett 35:24 Then there is a future where some guy and his laptop is gonna be able to create superintelligence without oversight or regulation or employees, et cetera.

Dr. Roman Yampolskiy 35:33 Yeah. That's why a lot of people suggesting we need to build something like a surveillance planet, where you are monitoring who's doing what, and you're trying to prevent people from doing it. Do I think it's feasible? No. At some point, it becomes so affordable and so trivial that it just will happen. But at this point, we're trying to get more time. We don't want it to happen in five years, we want it to happen in 50 years.

Steven Bartlett 36:01 I mean, that's not very hopeful. So you-

Dr. Roman Yampolskiy 36:03 Depends on how old you are.

Steven Bartlett 36:05 (laughs) Depends on how old you are. (laughs) I mean, as, if you're saying that you believe in the future people will be able to make superintelligence without the resources that are required today, then it is just a matter of time.

Dr. Roman Yampolskiy 36:18 Yeah, but so will be true for many other technologies. We're getting much better in synthetic biology, where today someone with a bachelor's degree in biology can probably create a new virus. This will also become cheaper, other technologies like that. So we are approaching a point where i- it's very difficult to make sure no technological breakthrough is the last one.So essentially, in many directions, we have this, uh, pattern of making it easier in terms of resources, in terms of intelligence, to destroy the world. If you look at, uh, I don't know, 500 years ago, the worst dictator with all the resources could kill a couple million people. He couldn't destroy the world. Now we know with nuclear weapons, we can blow up the whole planet, multiple times over. Synthetic biology, we saw with COVID, you can very easily create a combination virus which impacts billions of people. And all of those things are becoming easier to do.

Steven Bartlett 37:18 In the near term, you talk about

Steven Bartlett 37:20 extinction being a real risk, human extinction being a real risk. Of all the- the pathways to human extinction that you think are most likely, what- what is the leading pathway? 'Cause I know you talk about there being some issue predeployment of these AI tools, like, you know, uh, someone makes a mistake, um, when they're, uh, designing a model, or other issues postdeployment. When I say postdeployment, I mean once a ChatGPT or something, an A- an agent's released into the world and someone hacking into it and changing it and reprogram- reprogramming it to be malicious. Of all these potential paths to human extinction, which one do you think is the highest probability?

Dr. Roman Yampolskiy 37:59 So I can only talk about the ones I can predict myself. So I can predict even before we get to super intelligence, someone will create a very advanced biological tool, create a novel virus, and that virus gets everyone or most everyone. I can envision it, I can understand the pathway, I can say that.

Steven Bartlett 38:17 So just to zoom in on that then, that would be using an AI to make a virus and then releasing it.

Dr. Roman Yampolskiy 38:22 Yeah.

Steven Bartlett 38:22 And would that be intentional or...

Dr. Roman Yampolskiy 38:26 There is a lot of psychopaths, a lot of terrorists, a lot of doomsday cults. We've seen historically, again, they try to kill as many people as they can. They usually fail. They kill hundreds of thousands. But if they get technology to kill millions or billions, they would do that, gladly. The point I'm trying to emphasize is that it doesn't matter what I can come up with. I am not a malevolent actor you're trying to defeat here. It's the super intelligence which can come up with completely novel ways of doing it. Again, you brought up example of your dog. Your dog cannot understand all the ways you can take it out. It can maybe think you'll bite it to death or something, but that's all. Whereas you have infinite supply of resources. So if I asked your dog exactly how you're going to take it out, it would not give you a meaningful answer. It can talk about biting. And this is what we know. We know viruses, we experienced viruses, we can talk about them. But what an AI system capable of doing novel physics research can come up with is beyond me.

Steven Bartlett 39:37 One of the things that I think most people don't understand is how little we understand about how these AIs are actually working. 'Cause one would assume,

Steven Bartlett 39:45 you know, with computers, we kind of understand how a computer works. We, we know that it's doing this and then this, and it's running on code. But from reading your work, you describe it as being a black box.

Dr. Roman Yampolskiy 39:56 Mm-hmm.

Steven Bartlett 39:56 We act- so in the context of something like ChatGPT or an AI we know, you're telling me that the people that have built that tool don't actually know what's going on inside there?

Dr. Roman Yampolskiy 40:07 That's exactly right. So even people making those systems have to run experiments on their product to learn what it's capable of. So they train it by giving it all of data, let's say all of internet text. They run it on a lot of computers to learn patterns in that text and then we start experimenting with that model. Oh, do you speak French? Or, can you do mathematics? Or, are you lying to me now? And so maybe it takes a year to train it and then six months to get some fundamentals about what it's capable of, some safety overhead, but we still discover new capabilities in old models. If you ask a question in a different way, it becomes smarter. So it's no longer engineering how it was the first 50 years where someone was a knowledge engineer programming an expert system AI to do specific things. It's a science. We are creating this artifact, growing it, it's like a alien plant, and then we study it to see what it's doing. And just like with plants, we don't have 100% accurate knowledge of biology, we don't have full knowledge here. We kinda know some patterns. We know, okay, if we add more compute, it gets smarter most of the time, but nobody can tell you precisely what the outcome is going to be given a set of inputs.

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Steven Bartlett 42:32 What do you make of OpenAI and Sam Altman and what they're doing? And obviously you're, you're aware that one of the co-founders... Was it, um, was, was it Ilya Jut- Ilya Sutskever.I- Ilya, yeah. Ilya left and he started a new company called...

Dr. Roman Yampolskiy 42:45 Superintelligent Safety.

Steven Bartlett 42:47 Superintelligent Safety.

Dr. Roman Yampolskiy 42:47 Because AI safety wasn't challenging enough, he decided to just jump right to the hard problem.

Steven Bartlett 42:55 As an onlooker, when you see that people are leaving OpenAI to s- to start superintelligent safety companies, what was your read on that situation?

Dr. Roman Yampolskiy 43:06 So, a lot of people who worked with Sam said that maybe he's not the most direct person in terms of being honest with them, and they had concerns about his views on safety. That's part of it. So, they wanted more control, they wanted more concentration on safety. But also, it seems that anyone who leaves that company and starts a new one gets a $20 billion valuation just for having it started. You don't have a product, you don't have customers, but if you wanna make many billions of dollars, just do that. So, it seems like a very rational thing to do for anyone who can. So, I'm not surprised that there is a lot of attrition. Meeting him in person, he's super nice, very smart. Absolutely perfect public interface. You see him testify in the Senate, he says the right thing to the senators. You see him talk to the investors, they get the right message. But if you look at what people who know him personally are saying, it's probably not the right person to be controlling a project of that impact.

Steven Bartlett 44:17 Why?

Dr. Roman Yampolskiy 44:19 He puts safety second.

Steven Bartlett 44:23 Second to?

Dr. Roman Yampolskiy 44:25 Winning this race to superintelligence, being the guy who created God and con- controlling light cone of the universe. He's worse.

Steven Bartlett 44:34 Do you suspect that's what he's driven by, is by the- the legacy of being an impactful person that did a remarkable thing, versus the consequence that that might have on s- for society? Because it's interesting that his- his other startup is Worldcoin, which is ba- basically a platform to create universal basic income, i.e. a platform to give us income in a world where people don't have jobs anymore. So, on one hand, you're creating an AI company, on the other hand you're creating a company that is preparing for people not to have employment.

Dr. Roman Yampolskiy 45:05 It also has other properties. It keeps track of everyone's biometrics. It, uh, keeps you in charge of the world's economy, world's wealth. They are retaining a large portion of worldcoins. So, I- I think it's kinda very reasonable part to integrate with world dominance. If you have a superintelligent system and you control money, you're doing well.

Steven Bartlett 45:36 Why would someone want world dominance?

Dr. Roman Yampolskiy 45:40 People have different levels of ambition. When you are a very young person with billions of dollars, fame, you start looking for more ambitious projects. Some people want to go to Mars, others want to control light cone of the universe.

Steven Bartlett 45:53 What- what- what did you say, light coin of the universe?

Dr. Roman Yampolskiy 45:55 Light cone.

Steven Bartlett 45:56 Light cone.

Dr. Roman Yampolskiy 45:57 So, every part of the universe, light can reach from this point. Meaning, anything accessible, you wanna grab and bring into your control.

Steven Bartlett 46:05 You think Sam Altman wants to control every part of the universe?

Dr. Roman Yampolskiy 46:10 I- I suspect he might, yes.

Steven Bartlett 46:12 Mm-hmm.

Dr. Roman Yampolskiy 46:13 It doesn't mean he doesn't want a side effect of it being a very beneficial technology which makes all the humans happy. Happy humans are good for control.

Steven Bartlett 46:24 If you had to guess what the world looks like in tw- 2100, if you had to guess.

Dr. Roman Yampolskiy 46:35 It's either free of human existence or it's completely not comprehensible to someone like us. It's one of those extremes.

Steven Bartlett 46:46 So, there's either no humans-

Dr. Roman Yampolskiy 46:47 It's basically the world is destroyed, or it's so different that I cannot envision those predictions.

Steven Bartlett 46:56 What can be done to turn this ship to a more certain positive outcome at this point? Is- is there still things that we can do, or is it too late?

Dr. Roman Yampolskiy 47:07 So, I believe in personal self-interest. If people realize that doing this thing is really bad for them personally, they will not do it. So, our job is to convince everyone with any power in the space, creating this technology, working for those companies, they are doing something very bad for them. Not just... Forget our eight billion people you're experimenting on with no permission, no consent. You will not be happy with the outcome. If we can get everyone to understand that's a default... And it's not just me saying it. You had Geoff Hinton, Nobel Prize winner, founder of a whole machine learning space. He says the same thing. Bengio, dozens of others, top scholars. We had a statement about dangers of AI signed by thousands of scholars, computer scientists. This is basically what we think right now, and we need to make it a universal. No one should disagree with this. And then we may actually make good decisions about what technology to build. It doesn't guarantee long-term safety for humanity, but it means we're not trying to get there as soon as possible to the worst possible outcome.

Steven Bartlett 48:14 And do you... Are you hopeful that that's even possible?

Dr. Roman Yampolskiy 48:19 (sighs) I wanna try. We have no choice but to try.

Steven Bartlett 48:22 And what would need to happen, and who would need to act? What, is it government legislation? Is it...

Dr. Roman Yampolskiy 48:28 Unfortunately, I don't think making it illegal is sufficient. There are different jurisdictions. There is, you know, loopholes and... What are you gonna do if somebody does it? Are you gonna fine them for destroying humanity? Like, very steep fines for it? Like, what are you gonna do? It's not enforceable.If they do create it, uh, now the superintelligence is in charge. So the judicial system we have is not impactful, and all the punishments we have are designed for punishing humans. Prisons, capital punishment doesn't apply to AI.

Steven Bartlett 48:56 You know, the problem I have is when I have these conversations, I never feel like I walk away with a hope that something's gonna go well. And what I mean by that is I never feel like I walk away with clear, some kinda clear set of actions that can course correct what might happen here. So, what shou- what should I do? What should the person sat at home listening to this do to-

Dr. Roman Yampolskiy 49:19 You, you talk to a lotta people who are building this technology.

Steven Bartlett 49:23 Mm-hmm.

Dr. Roman Yampolskiy 49:24 Ask them precisely to explain some of those things they claim to be impossible, how they solved it or going to solve it before they get to where they're going.

Steven Bartlett 49:34 Do you know, I don't think Sam Altman wants to talk to me. (laughs)

Dr. Roman Yampolskiy 49:37 I don't know. He seems to go on a lot of podcasts. Maybe he does.

Steven Bartlett 49:40 He wants to go on mine. I, I wonder why that is. (laughs) I wonder why that is. I'd love to speak to him, but I don't, I don't think he wants to... I don't think he wants me to, uh, interview him.

Dr. Roman Yampolskiy 49:55 Have an open challenge. Maybe money is not the incentive, but whatever attracts people like that, whoever can convince you that it's possible to control and make safe superintelligence gets the prize. They come on your show and prove their case. Anyone. If no one claims the prize or even accepts the challenge after a few years, maybe we don't have anyone with solutions. We have companies valued, again, at billions and billions of dollars working on safe superintelligence. We haven't seen their output yet.

Steven Bartlett 50:27 Hmm. Yeah, I'd like to speak to Ilya as well 'cause I know he's, he's working on safe superintelligence too. Like-

Dr. Roman Yampolskiy 50:34 Notice a pattern too. If you look at history of AI safety organizations or departments within companies, they usually start well, very ambitious, and then they fail and disappear. So OpenAI had superintelligence alignment team. The day they announced it, I think they said they're gonna solve it in four years. Like half a year later, they canceled the team. And there is dozens of similar examples. Creating a perfect safety for superintelligence, perpetual safety as it keeps improving, modifying, interacting with people, you're never gonna get there. It's impossible. There is a big difference between difficult problems in computer science and P-complete problems and impossible problems. And I think control, indefinite control of superintelligence is such a problem.

Steven Bartlett 51:26 So what's the point in trying then if it's impossible?

Dr. Roman Yampolskiy 51:28 Well, I'm trying to prove that it is specifically that. Once we establish something is impossible, fewer people will waste their time claiming they can do it and find, uh, looking for money. So many people going, "Give me a billion dollars and two years, and I'll solve it for you." Well, I don't think you will.

Steven Bartlett 51:44 But people aren't gonna stop striving towards it. So if there's no attempts to make it safe and there's more people increasingly striving towards it, then it's inevitable.

Dr. Roman Yampolskiy 51:54 But it changes what we do. If we know that it's impossible to make it right, to make it safe, then this direct path of just build it as soon as you can becomes suicide mission. Hopefully fewer people will pursue that. They may go in other directions like, again, I'm a scientist and engineer. I love AI. I love technology. I use it all the time. Build useful tools. Stop building agents. Build narrow superintelligence, not a general one. I'm not saying you shouldn't make billions of dollars. I love billions of dollars. But, uh, don't kill everyone, yourself included.

Steven Bartlett 52:33 They don't think they're going to, though.

Dr. Roman Yampolskiy 52:35 Then tell us why. I hear things about intuition. I hear things about, "We'll solve it later." Tell me specifically in scientific terms, publish a peer-reviewed paper explaining how you're going to control superintelligence.

Steven Bartlett 52:48 Yeah, strange. It's strange to, it's strange to even bother if there was even a 1% chance of human extinction. It's strange to do something. Like if there was a 1% ch- someone told me there was a 1% chance that if I got in a car, I might not m- I might not be alive. I would not get in the car. If you told me there was a 1% chance that if I drank whatever liquid is in this cup right now I might die, I would not drink the liquid. Even if there was a billion dollars if I survived, so the 99% chance I get a billion dollars, the 1% is I die, I wouldn't drink it. I wouldn't take the chance. But-

Dr. Roman Yampolskiy 53:20 It's worse than that. Not just you die, everyone dies.

Steven Bartlett 53:23 Yeah. Yeah.

Dr. Roman Yampolskiy 53:24 Now, would we let you drink it at any odds? That's for us to decide. You don't get to make that choice for us. To get consent from human subjects, you need them to comprehend what they are consenting to. If those systems are unexplainable, unpredictable, how can they consent? They don't know what they are consenting to.

Steven Bartlett 53:44 Mm-hmm.

Dr. Roman Yampolskiy 53:45 So it's impossible to get consent by definition. So this experiment can never be run ethically. By definition, they are doing unethical experimentation on human subjects.

Steven Bartlett 53:55 Do you think people should be protesting?

Dr. Roman Yampolskiy 53:58 There are people protesting. There is Stop AI, there is Pause AI. They block offices of OpenAI. They do it weekly, monthly, uh, quite a few actions and they're recruiting new people.

Steven Bartlett 54:08 You think more people should be protesting? Do you think that's an effective solution?

Dr. Roman Yampolskiy 54:12 If you can get it to a large enough scale to where majority of population is participating, it would be impactful. I don't know if they can scale from current numbers to that, but, uh, I support everyone trying everything peacefully and legally.

Steven Bartlett 54:27 And for the, for the person listening at home, what should they, what should they be doing? What, what, what... 'Cause they, they don't wanna feel powerless. No- none of us wanna feel powerless.

Dr. Roman Yampolskiy 54:35 So it depends on what scale we're asking about, time scale. Are we saying like this year your kid goes to college, what major to pick? Should they go to college at all?

Steven Bartlett 54:44 Yeah.

Dr. Roman Yampolskiy 54:45 Should you switch jobs? Should you go into certain industries? There's questions we can answer. We can talk about immediate future. What should you do in five years with, uh, this being created? For an average person, not much. Just like they can't influence World War III, nuclear holocaust, anything like that. It's not something anyone's gonna ask them about. Today, if you wanna be a part of this movement, yeah, join Pause AI, join Stop AI. There's, uh, organizations currently trying to build up momentum to bring democratic powers to influence those individuals.

Steven Bartlett 55:23 So, in the near term, not a huge amount. I was wondering if there, there are any interesting strategies in the near term. Like, should I be thinking differently about my family? About... I mean, you've got kids, right?

Dr. Roman Yampolskiy 55:34 I do.

Steven Bartlett 55:34 You've got three kids?

Dr. Roman Yampolskiy 55:35 That I know about, yeah.

Steven Bartlett 55:36 (laughs) Three kids. How are you thinking about parenting in this world that you see around the corner? How are you thinking about what to say to them, the advice to give them, what they should be learning?

Dr. Roman Yampolskiy 55:44 So there is general advice, uh, outside of this domain that you should live your every day as if it's your last. It's a good advice no matter what. If you have three years left or 30 years left, you lived your best life. So, try to not do things you hate for too long. Do interesting things, do impactful things. If you can do all that while helping people, do that.

Steven Bartlett 56:10 Simulation theory is a interesting, uh, sort of adjacent subject here, because as computers begin to accelerate and get more intelligent and more able to, you know, do things with AI that we could never have imagined in terms of like... Imagine the worlds that we could create with virtual reality. I think it was Google that recently released... What was it called? Uh, um, like the AI Worlds software.

Dr. Roman Yampolskiy 56:35 Mm-hmm. You take a picture and it generates a whole world.

Steven Bartlett 56:38 Yeah, and you can-

Dr. Roman Yampolskiy 56:38 Yeah.

Steven Bartlett 56:38 ... move through the world.

Dr. Roman Yampolskiy 56:39 Yeah.

Steven Bartlett 56:39 I'll put it on the screen for people to see. But Google have released this technology which allows you, I think, with a simple prompt actually, to make a three-dimensional world that you can then navigate through. And in that world, it has memory. So in the world, if you paint on a wall-

Dr. Roman Yampolskiy 56:53 Mm-hmm.

Steven Bartlett 56:53 ... and turn away, you look back, the wall-

Dr. Roman Yampolskiy 56:55 It's persistent.

Steven Bartlett 56:55 Yeah, it's persistent. And when I saw that, I thought, "God, Jesus, bloody hell, this is, this is like the foothills of being able to create a simulation that's indistinguishable from everything I see here."

Dr. Roman Yampolskiy 57:06 Right. That's why I think we are in one. That's exactly the reason. AI is getting to the level of creating human agents, human-level agents. And virtual reality is getting to the level of being indistinguishable from ours.

Steven Bartlett 57:20 So you think this is a simulation?

Dr. Roman Yampolskiy 57:22 I'm pretty sure we are in a simulation, yeah.

Steven Bartlett 57:26 For someone that isn't familiar with the simulation arguments, what are, what are the first principles here that convince you that we are currently living in a simulation?

Dr. Roman Yampolskiy 57:34 So, you need certain technologies to make it happen. If you believe we can create human-level AI-

Steven Bartlett 57:41 Yeah.

Dr. Roman Yampolskiy 57:41 ... and you believe we can create virtual reality as good as this in terms of resolution, haptics, whatever properties it has, then I commit right now, the moment this is affordable, I'm gonna run billions of simulations of this exact moment, making sure you are statistically in one.

Steven Bartlett 57:59 Say that last part again. You're gonna run, you're gonna run?

Dr. Roman Yampolskiy 58:02 I'm gonna commit right now, when it's very affordable, it's like 10 bucks a month to run it, I'm gonna run a billion simulations of this interview.

Steven Bartlett 58:11 Why?

Dr. Roman Yampolskiy 58:13 Because statistically, that means you are in one right now. The chances of you being in the real one is one in a billion.

Steven Bartlett 58:19 Okay, so to make sure I'm clear on this-

Dr. Roman Yampolskiy 58:22 It's a retroactive placement.

Steven Bartlett 58:24 Yeah, so the, the minute it's affordable, then you can run billions of them, and they would feel and appear to be exactly like this interview right now?

Dr. Roman Yampolskiy 58:33 Right. So assuming the AI has internal states, experiences, qualia, some people argue that they don't, some say they already have it. That's a separate philosophical question. But if we can simulate this, I will.

Steven Bartlett 58:49 Some people might misunderstand. You're not... you're not saying that you will. You're saying that someone will sometime.

Dr. Roman Yampolskiy 58:55 I, I, I can also do it. I don't mind.

Steven Bartlett 58:58 Okay.

Dr. Roman Yampolskiy 58:58 Of course, others will do it before I get there. If I'm getting it for $10, somebody got it for $1,000. That's not the point. If you have technology, we're definitely running a lot of simulations for research, for entertainment, games, uh, all sorts of reasons. And the number of those greatly exceeds the number of real worlds we're in. Look at all the video games kids are playing. Every kid plays 10 different games. There's, you know, a billion kids in the world, so there is 10 billion simulations and one real world.

Steven Bartlett 59:28 Mm-hmm.

Dr. Roman Yampolskiy 59:31 Even more so when we think about advanced AI, superintelligent systems. Their thinking is not like ours. They think in a lot more detail. They run experiments. So running a detailed simulation of some problem at the level of creating artificial humans and simulating the whole planet would be something they'll do routinely. So there is a good chance this is not me doing it for $10, it's a future simulation thinking about something in this world.

Steven Bartlett 59:59 Hmm. So, it could be the case that a species of humans or a species of intelligence in some form got to this point where they could affordably run simulations that are in- indistinguishable from this, and they decided to do it, and this is it right now. And it would make sense that they would run simulations as experiments or for games or for entertainment, and also, when we think about time, in the world that I'm in, in this simulation that I could be in right now, time feels long, relatively. You know, I have 24 hours in a day. But on their, in their world, it could be-

Dr. Roman Yampolskiy 1:00:43 Time is relative.

Steven Bartlett 1:00:44 Relative, yeah. It could be a second. My whole life could be a millisecond in their...

Dr. Roman Yampolskiy 1:00:48 Right. You can change speed of simulations you're running, for sure.

Steven Bartlett 1:00:53 So your belief is that this is probably a simulation?

Dr. Roman Yampolskiy 1:00:55 Most likely. And there is a lot of agreement on that. If you look, again, returning to religions, every religion basically describes what? A super intelligent being, an engineer, a programmer, creating a fake world for testing purposes or for whatever. But if you took the simulation hypothesis paper, you go to jungle, you talk to primitive people, a local tribe, and in their language you tell them about it. Go back two generations later, they have religion. That's basically what the story is.

Steven Bartlett 1:01:29 Religion, yeah, it describes a simulation the- theory basically.

Dr. Roman Yampolskiy 1:01:33 Right.

Steven Bartlett 1:01:33 Somebody created-

Dr. Roman Yampolskiy 1:01:33 So by default, that was the first theory we had, and now with science, more and more people are going, like, "I'm giving it non-trivial probability." Few people are as high as I am, but a lot of people give it some credence.

Steven Bartlett 1:01:45 What percentage are you at in terms of believing that we are currently living in a simulation?

Dr. Roman Yampolskiy 1:01:48 Mm, very close to certainty.

Steven Bartlett 1:01:52 And what does that mean for the nature of your life? If you're close to 100% certain that we are currently living in a simulation, does that change anything in your life?

Dr. Roman Yampolskiy 1:02:02 So, all the things you care about are still the same. Pain still hurts, love's still love, right? Like those things are not different, so it doesn't matter. They're still important, that's what matters. The little 1% different is that I care about what's outside the simulation. I want to learn about it, I write papers about it. So that's the only impact.

Steven Bartlett 1:02:22 And what do you think is outside of the simulation?

Dr. Roman Yampolskiy 1:02:24 I don't know. But we can look at this world and derive some properties of the simulators. So clearly brilliant engineer, brilliant scientist, brilliant artist. Not so good with morals and ethics. Room for improvement.

Steven Bartlett 1:02:42 In our view of what morals and ethics should be?

Dr. Roman Yampolskiy 1:02:44 Well, w- we know there is suffering in the world, so unless you think it's ethical to torture children, then I'm questioning your approach.

Steven Bartlett 1:02:54 But in terms of incentives, to create a positive incentive you probably also need to create negative incentives. Suffering seems to be one of the negatives in- incentives built into our design to stop me doing things I shouldn't do. So like put my hand in a fire-

Dr. Roman Yampolskiy 1:03:07 No.

Steven Bartlett 1:03:07 ... it's going to hurt.

Dr. Roman Yampolskiy 1:03:09 But it's all about levels, levels of suffering, right? So unpleasant stimuli, negative feedback doesn't have to be at, like, negative infinity hell levels. You don't want to burn alive and feel it. You want to be like, "Oh, this is uncomfortable. I'm going to stop."

Steven Bartlett 1:03:24 It's interesting because we, we assume that they don't have great mor- morals and ethics, but we too would... We take animals and cook them and eat them for dinner and we also take, conduct experiments on mice and rats and-

Dr. Roman Yampolskiy 1:03:35 But to get university approval to conduct an experiment, you submit a proposal and there is a panel of ethicists who would say, "You can't experiment on humans, you can't burn babies, you can't eat animals alive." All those things would be banned.

Steven Bartlett 1:03:50 In most parts of the world.

Dr. Roman Yampolskiy 1:03:52 Where they have ethical boards.

Steven Bartlett 1:03:54 Yeah.

Dr. Roman Yampolskiy 1:03:54 'Cause some places don't bother with it, so they have easier approval process.

Steven Bartlett 1:03:59 It's funny when you talk about the simulation theory. There's a, there's an element of the conversation that makes life feel less meaningful in a weird way. Uh, uh, uh, like, I know it doesn't matter, but whenever I have this conversation with people, not on the podcast, about, "Are we living in a simulation?" You almost see a little bit of meaning come out of their life for a second, and then they forget and then they carry on. But the, the, the thought that this is a simulation almost posits that it's not important, or that it... I think humans want to believe that this is the highest level and we're the most important and we're the... it's all about us. We're quite egotistical by design. And, uh, just an interesting observation I've always had when I have these conversations with people that it seems to strip something out of their life.

Dr. Roman Yampolskiy 1:04:46 Do you feel religious people feel that way? They know there is another world and the one that matters is not this one. Do you feel they don't value their lives the same? I guess in some religions.

Steven Bartlett 1:04:58 I think, um, they think that this world is being created for them and that they are going to go to this heaven or, or hell, and that still puts them at the very center of it. But if, but if it's a simulation, you know, we could just be some computer game that a four-year-old alien has, is messing around with while he's got some time to burn.

Dr. Roman Yampolskiy 1:05:18 But maybe there is, you know, a test and there is a better simulation you go to than a worse one, maybe. There are different difficulty levels. Maybe you want to play it on a harder setting next time.

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Steven Bartlett 1:07:45 do you think much about longevity?

Dr. Roman Yampolskiy 1:07:46 A lot, yeah. It's probably the second-most important problem because if AI doesn't get us, that will.

Steven Bartlett 1:07:52 What do you mean?

Dr. Roman Yampolskiy 1:07:53 You're gonna die of old age.

Steven Bartlett 1:07:56 Which is fine.

Dr. Roman Yampolskiy 1:07:57 That's not good. You wanna die?

Steven Bartlett 1:07:59 I mean...

Dr. Roman Yampolskiy 1:08:00 You don't have to. It's just a disease. We can cure it. Nothing stops you from living forever, as long as universe exists, unless we escape the simulation.

Steven Bartlett 1:08:12 But we wouldn't want a world where everybody could live forever, right? That would be...

Dr. Roman Yampolskiy 1:08:15 Sure, we do. Why? Who do you want to die?

Steven Bartlett 1:08:19 I don't know. (laughs) I mean, I- I say this because it's all I've ever known, that people die, but wouldn't the world become pretty overcrowded if-

Dr. Roman Yampolskiy 1:08:25 No, you stop reproducing if you live forever. You have kids because you want a replacement for you. If you live forever, you're like, "I'll have kids in a million years." That's cool. I'll go explore universe first. Plus, if you look at actual population dynamics outside of, like, one continent, we're all shrinking; we're not growing.

Steven Bartlett 1:08:43 Yeah, this is crazy. It's crazy that the more rich people get, the less kids they, they have, which aligns with what you're saying. And I do actually think, I think if... I'm going to be completely honest here. I think if I knew that I was going to live to a thousand years old, there's no way I'd be having kids at 30.

Dr. Roman Yampolskiy 1:08:59 No. It's that biological clocks are based on terminal points. Whereas if your biological clock is infinite, you'd be like, "One day."

Steven Bartlett 1:09:07 And you think that's close-

Dr. Roman Yampolskiy 1:09:09 Um.

Steven Bartlett 1:09:09 ... being able to extend our lives?

Dr. Roman Yampolskiy 1:09:11 It's one breakthrough away. I think somewhere in our genome, we have this rejuvenation loop, and it's said to basically give us at most 120. I think we can reset it to something bigger.

Steven Bartlett 1:09:23 AI is probably going to accelerate that.

Dr. Roman Yampolskiy 1:09:26 That's one very important application area. Yes, absolutely.

Steven Bartlett 1:09:30 So maybe Bryan Johnson is right when he says, "Don't die now." He keeps saying to me, he's like, "Don't die now."

Dr. Roman Yampolskiy 1:09:36 Don't die ever?

Steven Bartlett 1:09:38 But, you know, he's saying like, "Don't die before we get to the technology."

Dr. Roman Yampolskiy 1:09:40 Right. Longevity escape velocity. You want to long, uh, live long enough to live forever. If at some point, we, every year of your existence, add two years to your existence through medical breakthroughs, then you'll live forever. You just have to make it to that point of longevity escape velocity.

Steven Bartlett 1:09:58 And he thinks that len- longevity escape velocity, especially in a world of AI, is pretty, is pretty... It's decades away, minimum. Which means...

Dr. Roman Yampolskiy 1:10:06 W- w-... As soon as we fully understand human genome, I think we'll make amazing breakthroughs very quickly.

Steven Bartlett 1:10:12 We-

Dr. Roman Yampolskiy 1:10:12 Because we know some people have genes for living way longer. They have generations of people who are centenarians. So if we can understand that and copy that or copy it from some animals which will live forever, we'll get there.

Steven Bartlett 1:10:24 Would you want to live forever?

Dr. Roman Yampolskiy 1:10:25 Of course. Reverse, reverse the question. Let's say we lived forever. And you ask me, "Do you want to die in 40 years?" Why would I say yes?

Steven Bartlett 1:10:34 I don't know, maybe-

Dr. Roman Yampolskiy 1:10:34 You're just used to the default.

Steven Bartlett 1:10:36 Yeah, I am used to the default.

Dr. Roman Yampolskiy 1:10:37 And nobody wants to die. Like, no matter how old you are, nobody goes, "Yeah, I want to die this year." Everyone's like, "No, I want to keep living."

Steven Bartlett 1:10:43 I wonder if life and everything would be less special if I lived for 10,000 years. I wonder if going to Hawaii for the first time or, I don't know, a relationship, all of these things would be way less special to me if they were less scarce. And if there, I just, you know, I'd see it-

Dr. Roman Yampolskiy 1:11:04 Individually less special, but there is so much more you can do. Right now, you can only make plans to do something for a decade or two. You cannot have an ambitious plan of working on this project for 500 years. Imagine possibilities open to you with infinite time and an infinite universe.

Steven Bartlett 1:11:21 Gosh.

Dr. Roman Yampolskiy 1:11:22 Well, you can.

Steven Bartlett 1:11:23 Feels exhausting, isn't it? (laughs)

Dr. Roman Yampolskiy 1:11:24 It's, it's a big amount of time. Also, I don't know about you, but I don't remember, like, 99% of my life in detail. I remember big highlights. So even if I enjoyed Hawaii 10 years ago, I'll enjoy it again.

Steven Bartlett 1:11:37 Are you thinking about that really practically as, as... in terms of, you know, if... In the same way that Bryan Johnson is? Bryan Johnson is convinced that we're, like, maybe two decades away from being able to extend life. Are you thinking about that practically?

Dr. Roman Yampolskiy 1:11:48 Yeah.

Steven Bartlett 1:11:48 And are you doing anything about it?

Dr. Roman Yampolskiy 1:11:49 Diet, nutrition. I try to think about investment strategies which pay out in a million years, yeah.

Steven Bartlett 1:11:56 Really?

Dr. Roman Yampolskiy 1:11:56 Yeah, of course.

Steven Bartlett 1:11:57 What do you mean, of course? Of-

Dr. Roman Yampolskiy 1:11:59 Why wouldn't you? If you think this is what's going to happen, you, you should try that. So if we get AI right, now, what happens to economy? We talked about world coin, we talked about free labor. What's money? Is it now Bitcoin? Do you invest in that? Is there something else which becomes the only resource we cannot fake? So those things are very important research topics.

Steven Bartlett 1:12:20 So you're investing in Bitcoin, aren't you?

Dr. Roman Yampolskiy 1:12:23 (smacks lips) Yeah.

Steven Bartlett 1:12:26 Because it's, uh-

Dr. Roman Yampolskiy 1:12:27 It's the only scarce resource. Nothing else has scarcity. Everything else, if price goes up, we'll make more. I can make as much gold as you want given a proper price point. You cannot make more Bitcoin.

Steven Bartlett 1:12:41 Some people say Bitcoin is just this thing on a computer that we all agreed was valuable.

Dr. Roman Yampolskiy 1:12:44 We are a thing on a computer.... your number.

Steven Bartlett 1:12:49 Okay. So, I mean, n- not investment advice, but investment advice.

Dr. Roman Yampolskiy 1:12:55 It's hilarious how that's one of those things where they tell you it's not, but you know it is immediately. There is a, "Your call is important to us," that means your call is of zero importance. And investment is like that.

Steven Bartlett 1:13:04 Mm-hmm. Yeah. (laughs) Yeah, when they say, "Not investment advice," (laughs) it's definitely investment advice. Um, but it's not investment advice. Okay, so y- you're bullish on Bitcoin because it's... it can't be messed with.

Dr. Roman Yampolskiy 1:13:15 It is the only thing which we know how much there is in the universe. So gold, there could be an asteroid made out of pure gold heading towards us, devaluing it. Well, also killing all of us. But Bitcoin, I know exactly the numbers. And even the 21 million is an upper limit. How many are lost? Passwords forgotten. I don't know what Satoshi is doing with his million. It's getting scarcer every day while more and more people are trying to accumulate it.

Steven Bartlett 1:13:47 Some people worry that it could be hacked with a supercomputer.

Dr. Roman Yampolskiy 1:13:50 A quantum computer can break that algorithm. There is, uh, strategies for switching to a quantum-resistant cryptography for that. And quantum computers are still kinda weak.

Steven Bartlett 1:14:02 Do

Steven Bartlett 1:14:03 you think there's any changes to my life that I should make following this conversation? Is there anything that I should do differently the minute I walk out of this door?

Dr. Roman Yampolskiy 1:14:11 I assume you already invest in Bitcoin heavily.

Steven Bartlett 1:14:14 Yes, I'm in- m- an investor in Bitcoin.

Dr. Roman Yampolskiy 1:14:15 This is financial advice.

Steven Bartlett 1:14:17 (laughs)

Dr. Roman Yampolskiy 1:14:17 Uh, no, just... You seem to be winning. Maybe it's your simulation. You're rich, handsome, you have famous people hang out with you. Like, that's pretty good. Keep it up. Robin Hanson has a paper about how to live in a simulation, what you should be doing in it, and your goal is to do exactly that. You wanna be interesting, you wanna hang out with famous people so they don't shut it down. So you are part of a part someone's actually watching on pay-per-view or something like that.

Steven Bartlett 1:14:48 Oh, I don't know if you wanna be watched on pay-per-view because then you would be this

Dr. Roman Yampolskiy 1:14:52 (overlapped) Then they shut you down.

Steven Bartlett 1:14:53 ... intellectual experience.

Dr. Roman Yampolskiy 1:14:53 If no one's watching, why would they play it?

Steven Bartlett 1:14:57 I'm saying y- don't you want to fly under the radar? Don't you wanna be the, the guy just living a normal life that the, the masters

Dr. Roman Yampolskiy 1:15:02 (overlapped) Those are NPCs. Nobody wants to be an NPC.

Steven Bartlett 1:15:07 Are you religious?

Dr. Roman Yampolskiy 1:15:08 Not in any traditional sense, but I believe in simulation hypothesis, which has a superintelligent being, so.

Steven Bartlett 1:15:14 But you don't believe in the, like, you know, the religious books?

Dr. Roman Yampolskiy 1:15:18 So different religions. This religion will tell you, "Don't work Saturday." This one, "Don't work Sunday. Don't eat pigs, don't eat cows." They just have local traditions on top of that theory. That's all it is. They're all the same religion. They all worship superintelligent being, they all think this world is not the main one, and they argue about which animal not to eat. Skip the local flavors, concentrate on, "What do all the religions have in common?" And that's the interesting part. They all think there is something greater than humans, very capable, all-knowing, all-powerful. Then I run a computer game, four of those characters in the game, I am that. I can change the whole world, I can shut it down. I know everything in the world.

Steven Bartlett 1:16:05 It's funny, I was thinking earlier on when we started talking about the simulation theory that there's... there might be something innate in us that is been left from the creator. Almost like a clue, like a, like an intuition. 'Cause that's what we, we tend to have through history. Humans have this intuition-

Dr. Roman Yampolskiy 1:16:19 Yeah.

Steven Bartlett 1:16:19 ... that a- all the things you said are true, that there's this somebody above and that-

Dr. Roman Yampolskiy 1:16:24 Well, we have generations of people who were religious, who believed God told them and was there and give them books, and that has been passed on for many generations. This is probably one of the earliest generations not to have universal religious belief.

Steven Bartlett 1:16:40 I wonder if those people are telling the truth. I wonder if those peop- those people that say God came to them and said something. Imagine that. Imagine if that was part of this

Dr. Roman Yampolskiy 1:16:46 (overlapped)

Steven Bartlett 1:16:46 ... if that was part of this

Dr. Roman Yampolskiy 1:16:46 I'm looking at the news today. Something happened an hour ago, and I'm getting different conflicting results. I can't even get with cameras, with drones, with, like, guy on Twitter there. I still don't know what happened. And you think 3,000 years ago, we have accurate record of translations and... No, of course not.

Steven Bartlett 1:17:05 You know these conversations you have around AI safety, do you think they make people feel good?

Dr. Roman Yampolskiy 1:17:12 I don't know if they feel good or bad, but, uh, people find it interesting. It's one of those topics where I can have a conversation about different cures for cancer with an average person, but everyone has opinions about AI, everyone has opinions about simulation. It's interesting that you don't have to be highly educated or a genius to understand those concepts.

Steven Bartlett 1:17:33 'Cause I tend to think that it makes me feel not positive. And I understand that, but I've always been of the opinion that you shouldn't live in a world of delusion where you're just seeking to be positive, have sort of, uh, pos- positive things said, and avoid uncomfortable conversations. Actually, progress often in my life comes from, like, having uncomfortable conversations, becoming aware about something, and then at least being informed about how I can do something about it. And so, I think that's why, that's why I asked the question 'cause I th- I assume most people will, should, if they're, you know, if they're normal h- human beings, listen to these conversations and go, "Gosh, that's scary and this is concerning." And, and then I keep coming back to this point, which is like, what, what do I do with that energy?

Dr. Roman Yampolskiy 1:18:28 Yeah. But I'm trying to point out, this is not different than so many conversations. We can talk about, "Oh, there is starvation in this region, genocide in this region, you're all dying, cancer is spreading, autism is up." You can always find something to be very depressed about and nothing you can do about it.... and we're very good at concentrating on what we can change-

Steven Bartlett 1:18:52 Mm-hmm.

Dr. Roman Yampolskiy 1:18:52 ... what we are good at, and, uh, basically not trying to embrace the whole world as a local environment. So historically, you grew up with a tribe, you had a dozen people around you. If something happened to one of them, it was very rare. It was an accident. Now, if I go on the internet, somebody gets killed everywhere all the time. Somehow, thousands of people are reported to me every day. I don't even have time to notice. It's just too much. So I have to put filters in place. And I think this topic is what people are very good at filtering as, like, "This was this entertaining talk I went to, kind of like a show. And the moment I exit, it ends." So usually, I would go give a keynote at a conference, and I tell them basically, "You're all gonna die. You have two years left. Any questions?" And people be like, "Will I lose my job? How do I lubricate my sex robot?" Like, all sorts of nonsense, clearly not understanding what I'm trying to say there. And those are good questions, interesting questions, but not fully embracing the result. They're still in their bubble of local versus global.

Steven Bartlett 1:20:03 And the people that disagree with you the most, as it relates to AI safety, what is it that they say?

Steven Bartlett 1:20:10 What are their counterarguments, typically?

Dr. Roman Yampolskiy 1:20:13 So many don't engage at all.

Steven Bartlett 1:20:16 They tweeted.

Dr. Roman Yampolskiy 1:20:16 Like, they have no background knowledge in a subject. They never read a single book, single paper, not just by me, by anyone. They may be even working in a field, so they are doing some machine learning work for some company, maximizing ad clicks. And to them, those systems are very narrow, and then they hear that, "Oh, this AI is going to take over the world," they're like, "It has no hands. How would it do that? It- it's nonsense. This guy is crazy. He has a beard. Why would I listen to him," right? That's, uh... Then they start reading a little bit. They go, "Oh, okay, so maybe AI can be dangerous. Yeah, I see that. But we always solved problems in the past. We're going to solve them again. I mean, at some point, we fixed a computer virus or something. So it's the same." And, uh, basically, the more exposure they have, the less likely they are to keep that position. I know many people who went from super careless developer to safety researcher. I don't know anyone who went from, "I worry about AI safety," to, like, "There is nothing to worry about."

Steven Bartlett 1:21:23 Hmm. What are your closing statements?

Dr. Roman Yampolskiy 1:21:31 Uh, let's make sure there is not a closing statement we need to give for humanity. Let's make sure we

Dr. Roman Yampolskiy 1:21:36 stay in charge, in control. Let's make sure we only build things which are beneficial to us. Let's make sure people who are making those decisions are remotely qualified to do it. They are good not just at science, engineering, and business, but also have moral and ethical standards. And, uh, if you're doing something which impacts other people, you should ask their permission before you do that.

Steven Bartlett 1:22:02 If there was one button in front of you, and it would shut down every

Steven Bartlett 1:22:08 AI company in the world right now, permanently, with the inability for anybody to start a new one, would you press the button?

Dr. Roman Yampolskiy 1:22:15 Are we losing narrow AI or just superintelligent AGI part?

Steven Bartlett 1:22:19 Losing all of AI.

Dr. Roman Yampolskiy 1:22:21 That's a hard question because AI is extremely important. It controls stock market, power plants. It controls hospitals. It would be a devastating accident. Millions of people would lose their lives.

Steven Bartlett 1:22:35 Okay, we can keep narrow AI.

Dr. Roman Yampolskiy 1:22:36 Oh yeah, that's what we want. We want narrow AI to do all this for us, but not God we don't control doing things to us.

Steven Bartlett 1:22:45 So you would stop it, you would stop AGI and superintelligence?

Dr. Roman Yampolskiy 1:22:48 We have AGI. What we have today is great for almost everything. We can make secretaries out of it. 99% of economic potential of current technology has not been deployed. We make AI so quickly, it doesn't have time to propagate through the industry, through technology. Something like half of all jobs are considered BS jobs. They don't need to be done, bullshit jobs. So those can be not even automated, they can just be gone. But I'm saying we can replace 60% of jobs today with existing models. We've not done that. So if the goal is to grow our economy, to develop, we can do it for decades without having to create superintelligence as soon as possible.

Steven Bartlett 1:23:28 Do you think globally, especially in the Western world, unemployment's only going to go up from here? Do you think rel- relatively this is the low of unemployment?

Dr. Roman Yampolskiy 1:23:36 I mean, it fluctuates a lot with other factors. There are wars, there's economic cycles, but overall, the more jobs you automate and the higher is the intellectual necessity to start a job, the fewer people qualify.

Steven Bartlett 1:23:50 So if we plotted it on a graph, over the next 20 years, you're assuming unemployment's gradually going to go up over that time?

Dr. Roman Yampolskiy 1:23:58 I think so. Fewer and fewer people would be able to contribute. Already, we kind of understand it because we created minimum wage. We understood some people don't contribute enough economic value to get paid anything really. So we had to force employers to pay them more than they're worth.

Steven Bartlett 1:24:16 Mm-hmm.

Dr. Roman Yampolskiy 1:24:17 And we haven't updated it. It's, what, 7.25 federally in US? If you keep up with economy, it should be like $25 an hour now, which means all these people making less are not contributing enough economic output to justify what they're getting paid.

Steven Bartlett 1:24:35 We have a closing tradition on this podcast where

Steven Bartlett 1:24:37 the last guest leaves a question for the next guest, not knowing who they're leaving it for. And the question left for you is, what are, what are the most important characteristics for a friend, colleague-... or mate?

Dr. Roman Yampolskiy 1:24:52 Those are very different types of people.

Steven Bartlett 1:24:55 Mm-hmm.

Dr. Roman Yampolskiy 1:24:56 But for all of them, loyalty is number one.

Steven Bartlett 1:25:00 And what does loyalty mean to you?

Dr. Roman Yampolskiy 1:25:03 Not betraying you, not screwing you, not cheating on you.

Steven Bartlett 1:25:10 Despite the temptation?

Dr. Roman Yampolskiy 1:25:12 Despite the world being as it is, situation, environment.

Steven Bartlett 1:25:18 Dr. Roman, thank you so much. Thank you so much for doing what you do, because you're, you're starting a conversation and pushing forward a conversation and doing research that is incredibly important, and you're doing it in the face of a lot of, um, a lot of skeptics, I'd say. There's a lot of people that have a lot of incentives to discredit what you're saying and what you do, because they have their own incentives and they have billions of dollars on the line, and they have their jobs on the line potentially as well, so it's really important that there are people out there that are willing to, I guess, stick their head above the parapet and come on shows like this and go on big platforms and talk about the unexplainable, unpredictable, uncontrollable future that we're heading towards. So thank you-

Dr. Roman Yampolskiy 1:25:59 Thank you.

Steven Bartlett 1:25:59 ... for doing that. This book which, which I think everybody should, should check out if they want a continuation of this conversation, I think it was published in 2024, gives a holistic