Instant Genius - How AI will make the world a better place, not bring it to an end

Episode Date: April 4, 2024

Artificial Intelligence can seem scary, especially with rapid advancements, but what if it actually improves our future? We spoke to Nick Bostrum, a leading philosopher at the University of Oxford and... author of the new book Deep Utopia to find out why AI could be a force for positive change. Learn more about your ad choices. Visit podcastchoices.com/adchoices

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Starting point is 00:01:26 Music just as the artist intended. Visit name audio.com to learn more. Hello, I'm Alex Hughes, and this is the Instant Genius podcast, a bite-sized masterclass from the BBC Science Focus magazine. Artificial intelligence is booming. It can be found everywhere you look. But what happens when we reach the end? Will AI take over our jobs?
Starting point is 00:01:56 All humans live a world of leisure? And what would be able to cope with such a technology-dependent world? We spoke to Nick Bostrom, Oxford University professor, director of the Future of Humanity Institute, an author of the new book, Deep Utopia, Life and Meaning in the Solve World to find out more. Artificial intelligence has really blown up in the past couple of years. Do you think we're approaching a world of, I guess, symbiotic living with AI, or is that more of a science fiction idea?
Starting point is 00:02:33 I think it will continue to accelerate, even with all the recent coverage, I still think people haven't really woken up to what's coming down the pike. The world will be transformed. Now, whether this will be for the better or for the worse remains to be determined. So in the new book, I consider the case, what if it goes well? What kind of world do we end up with in that case? And what will be the role for us human beings in such a radically transformed? world. And if things do go well and we end up in this world, what do you see it looking like? Well, I think the development of machine superintelligence will be the last invention we ever need to make. If you think of it, if we did really have machines that were better at all cognitive labor
Starting point is 00:03:22 than the human brain is, then that would include in particular the task of making further inventions. And so what it would mean is a kind of telescoping of the future. All these physically possible technologies that we can imagine that maybe we could develop if we had 20,000 years, maybe we would have cures for aging and space colonies and perfect virtual reality and all kinds of uploading minds into computer, all kinds of science fiction like stuff that is not violating in a law of physics. It's just like extremely hard to actually get it to work. But all of those things with machine superintelligence doing the research and development, it could happen within short order after the development of machine superintelligence. So this long-term future
Starting point is 00:04:10 might happen within a few years after you have machine superintelligence. So what I think we'll then have is a condition of technological maturity, a condition where we have developed all those technologies that we know to be physically possible. And that would be, a very different condition for human beings to inhabit. And we can go into that in more detail. But it wouldn't just be another mobile internet or another solar panel revolution, like all these things that people get really excited about and hype up as the next big thing. I think this would be qualitatively different.
Starting point is 00:04:48 And if you wanted to find some parallel of the past, it would be more akin to the emergence of life on planet Earth or the first evolution of brains or something like that that it should be compared to. I was going to make the comparison to the internet and, you know, ask how you feel it compares to that. It's not just AI, but all of these new technologies like quantum computing, for example, that come with it. Where does that put humans?
Starting point is 00:05:15 Do we then just become these people of leisure? Yeah. Basically, I think then pretty much all human jobs could be automated with mature technology. The exceptions would be ones primarily where consumers have a direct preference that the job be done by human. So just as right now, sometimes consumers might pay a premium because of the way that some object was produced. So like sometimes a trinket, like, I mean, if it's made by some particularly favorite group or your favorite artist or an indigenous handicraft or something like that, even though if the object itself is kind of indistinguishable from something made in a sweatshop in China, we might still pay more for it because we care about the process of origination.
Starting point is 00:06:07 So those would be potential areas where there might still be demand for human work. There are also certain things like a cleric, you know, maybe people just want their wedding ceremony officiated by a human being rather than even if there were a robot that could say all the right things. we might prefer to watch human athletes compete, even if the robots could run faster or a box harder or whatever. But setting aside these exceptions, I think all functionally defined tasks would be done cheaper and more efficiently and to a higher standard by machine in this condition.
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Starting point is 00:07:29 name audio creates systems that deliver exceptional sound and unforgettable listening experiences at home. Try it for yourself at a focal powered by name boutique. Visit focal powered by name.com for more information. So do you think it is more the human side of the world, you know, producing emotive music or offering a human touch to something, that's what will stay? Well, I think even music is something that AI will be able to compose and perform to a higher standard than humans at technological maturity. But there are aspects of this where we might still value the human touch. If you just want to listen to the sound of music, it's really cheap. You just stream it or whatever.
Starting point is 00:08:21 And for pennies, you can listen to any music performed by the best human artists today, right? But people still pay hundreds of dollars for concert tickets or to hear a live performance. Maybe even an inferior. Maybe you want to go to the local symphony orchestra to hear your Beethoven performed. And so there's this additional element of kind of the event, the happening, being together with other people forming the connection that people might value that would not be automatically rendered in a superior way by AIs. Although it is interesting.
Starting point is 00:08:53 And I think at technological maturity, these artificial minds that we build could also be built such that they can experience emotions and have conscious experiences just like biological brains have. So even if a consumer wanted, say, the performer to not just play the right notes in the way that sounds perfect, but also for the performer to actually experience the music as they are performing it, that too might be. something that technological maturity machines could do. Although in that case, it's not clear whether machines is the right word to describe them because we think of some sort of incendiant mechanical device, right? Where as here we are really building minds. So it actually goes quite deep once you start to think through. So the first is like, well, you know, you could automate a lot of stuff so that would be
Starting point is 00:09:45 fewer jobs for humans. So we wouldn't need to, you know, go into the office every day or whatever our jobs consist of. But there are a lot of other tasks as well that we currently have to perform just to get by in life for all kinds of instrumental reasons. So you need to go to the grocery in order to get the food that you can then spend time cooking in order to have some meal to eat. But those things could also be automated, right? Just as a rich person today could hire somebody to go to the grocery store and to do their cooking. Like this could be something everybody could afford it by having the robot prepare their meals to perfection.
Starting point is 00:10:24 And you can go through the list. So right now, maybe you have to exert yourself by going to the gym if you want to stay fit. And the only way to stay fit is to put in, you know, the effort to work out. But at technological maturity, you could pop a pill that would produce exactly the same outcome. And so a lot of instrumental effort, like things, actually, if you think, think about it, almost all we do throughout the day currently is we do something in order to achieve something else. And practically all of that, that technological maturity would go away. Like, that would be no point if the only reason for doing it was that you were trying to obtain some other thing. Because if you start to think through these things case by case,
Starting point is 00:11:11 you realize that it would be like a shortcut to getting the thing that wouldn't involve you having to spend the time and effort. There's a very classic trope in sci-fi where you reach utopia, everything is done for us, and people end up disillusioned with a lack of things to do, no work, no real care for anything. Is there a risk of that happening here? Yeah, so if you really think through things to the logical conclusion, I think you do end up in this, I call it a post-instrumental condition. And it really raises quite profound questions, ultimately about the meaning of life, what we ultimately place value on, which I'm exploring in this book. And I mean, I think ultimately it looks like it could be a wonderful thing, but not in a sort of unproblematic way.
Starting point is 00:12:04 It does force us to confront these ultimate value questions. In a sense, it's questions philosophers have wrestled with, you know, for thousands of years. But this, I mean, you could think of it as a thought experiment. although I think there is a real chance we could actually end up living in this condition in a relatively short number of years, depending on how things unfold. We will actually be forced to answer these questions. So the book is less about trying to convince you of some particular conclusion, more encouraging the reader to ask certain questions or to think about things that are hard
Starting point is 00:12:39 otherwise to sort of get into focus. And, yeah, a lot of the structure that currently constructs, what we can do would drop away in this kind of condition. So much of what structures are alive is this kind of need for various instrumental forms of activity. We need to do this, to do that, to get that. And if you remove all of that, there's a real question of what remains of us humans. It's almost like if you have, you know, like an insect has an exoskeleton that kind of holds it together. and like all the squishy soft parts are kind of constrained by this.
Starting point is 00:13:20 And so I'm thinking of these instrumental constraints that we're currently operating on as a kind of spiritual exoskeleton for the human soul. And if you imagine all of that removed, like how could we avoid just kind of becoming amorphous blob? Like a kind of drugged out pleasure maximizing a blob. And I think that's a really interesting thing to think about. I'm kind of hopeful about us finding something really wonderful and beautiful in that space, but I think it does require this kind of confrontation with our ultimate values.
Starting point is 00:13:55 If we reach that point where we rethink our lives and it ends up being positive, we're no longer working to live, we're not overrun by tasks, you know, things people describe as being quite limiting. What's your view of how we then rethink our lives? There are so many algorithms in our lives day to day, how do you even begin to approach free will when everything is decided for you? And you could decide on things yourself, but you might get inferior results. So right now, maybe if you want, say you want to get the thing that you actually most like, and that would suit you the most in like some shirt or whatever, like you might have to spend time and effort to browse different stores and try things.
Starting point is 00:14:44 and if you really want to have something that is perfect for you, there's maybe no choice but to do that. But in this condition, it might be that that would result in an inferior garment. Maybe you would be best off just leaving that to the AI recommender system, to not just recommend things, but to just order it for you. And just following along with the algorithm might give you superior result. So then you face this question of,
Starting point is 00:15:13 do you value this important? investment in going like shopping for clothes or whatever because of it gives you better outcomes or is it the do you intrinsically value the process itself, in which case it may not matter that the result is worse in terms of objective or functional criteria. So right now these go together, like whether you value the process of, you know, shopping for its own sake or whether you evaluate at least in part because it produces some like meaningful outcome to you. Those kind of both point in the same direction.
Starting point is 00:15:48 You still have to go to the shopping, whether you want it for one reason or for another. But in this condition of technological maturity, in a post-instrumental world, these come apart. If you only do it because you value the outcome, there would be absolutely no reason for you to continue doing it. So it's a kind of acid that dissolves a lot of assumptions and you then can separate the components.
Starting point is 00:16:10 So in that sense, it is a kind of laboratory. for thinking about our values as well. And you can begin to distinguish. And that also can maybe cast a new light on the current condition, like where all of these things are modeled together, but you might be able to see things more clearly what you value by first taking them to this extreme condition. It's almost like a particle collider like the physicists have
Starting point is 00:16:30 where they create unusual conditions like extreme energies, like billions of electron vaults, smashing particles together, in order than to see what happens on those special circumstances. things that are normally clumped together come apart. And then you can analyze that. And then you realize that, well, even on the normal conditions, all those same parts are still there. It's just they are not distinguishable because they are sort of too. So by studying like these general principles by considering them under extreme conditions, that's like often on a kind of useful analytic technique. If we end up in this world where AI is a huge part of what we do and it
Starting point is 00:17:09 decides a lot of things, what do we do at this state? What do we do? to prepare for that. What regulations and laws do we need to consider now? So this condition that the book explores is a solved world where we have, everything has gone well, basically. We have this almost magical technology. Currently, we are definitely not in a solved world. There's a lot of problems that still need solving. So how to get from here to there is a big practical question. The book just brackets that, but of course, that is something I have a lot of thoughts about. I think, well, with AI in particular, there is the big problem of how to align these increasingly powerful AI systems that
Starting point is 00:17:49 we are developing, how to develop algorithms and control methods so that even as they become more and more capable, we can still actually steer them and get them to do what we want and to be safe. This is something that used to be very neglected for, like, I mean, I started getting interested in the 90s. And my previous book, Superintelligence was trying to bring attention to this alignment problem. Now it has become sort of an established few. All the leading AI labs have like groups working on scalable AI alignment. And in the last couple of years, even top level policymakers have started to take an interest in AI and AI, artificial general intelligence and the kind of potential risks associated with that. So that would be like one big thing that we need
Starting point is 00:18:37 to sort out. That's primarily a technical problem. Then there is a governance problem. Like if you imagine we have this increasingly powerful AI technology and we are able technically to point it wherever we want, but then who decides where it gets pointed, what are the purposes for which this powerful technology gets used? And it's really a general purpose technology. It's like, in that sense, like electricity or internal combustion or something, that it can be used for good and bad, even more general than those technologies. So how can we sort of tilt the balance towards positive uses. So rather than using this technology to wage war against each other or to oppress each other or for all kinds of other. How can we primarily shift it towards positive
Starting point is 00:19:21 uses like medicine or clean energy and better entertainment, like all kinds of. So that's more like a political challenge. And then I think there is a third big area of challenge which has yet received much less attention. But I think will become increasingly important. So if the first area is like, how can we make sure the AIs don't harm us? And the second is, how can we make sure we don't harm each other using AIs? The third is how can we make sure that we don't harm the AIs? This is less of an issue if you have simple AIs that are just sort of mindless, simple algorithms, like a pocket calculator. Maybe it's sad for the owner if somebody smashes your pocket calculator, but it doesn't matter to the pocket.
Starting point is 00:20:08 But as we build increasingly sophisticated digital minds, I think some of those will attain various degrees of moral status, whether because they become sentient, capable of having conscious awareness and suffering pain or discomfort, or they have other attributes, perhaps, that underpin moral status, like having a conception of self, having preferences, being able to engage in reciprocal social relationships and so forth.
Starting point is 00:20:35 I think then it becomes important that the future is one where things also go well for these digital minds. that we create. And that we don't replicate in the digital realm, say, the current misuses and abuses of sentient animals in animal agriculture like pigs and other creatures that I think we are not currently treating the way we should. And AI systems could eventually become even more kind of advanced and sophisticated even than animals.
Starting point is 00:21:05 I mean, eventually human-like and maybe even beyond human-like. And since the future might well contain ultimately more. more digital minds than biological minds, that is a really key thing as well to ensure. So those would be three big areas related to existential risk. And then, of course, with AI, and then, of course, there are many, many others and more here and now issues, like making sure people get an income, preventing, you know, misinformation, privacy violations, discrimination, all kinds of things, that are more continuous with other things we are having to worry about and struggle within society.
Starting point is 00:21:38 There is a long list of things that we need to work out to get to this point. One that I'm intrigued to get your opinion on is how we get enough energy to get all of these AI systems, computers, training systems. How do you get all of that running? Yeah, it'll probably be increased demand for energy. I mean, also the electrification of transportation and self-driving cars and stuff. More and more parts of the world seem to run on electricity and AI will contribute to that. Of course, ultimately, it's a technological problem to develop cheaper and greener forms of energy,
Starting point is 00:22:19 which certainly AIs would be able to do in this scenario, right? Like if they can run the solar panel manufacturing facilities and develop the next generation of clean tech, etc. Ultimately, we have space, which, I mean, is where most of the stuff is, So if we think of a technologically mature civilization, I think in the long term would be very odd to imagine it confined to planet Earth, which is just one little crumb in an almost endless space of resources and stars and quasars and galaxies. So there could be a huge expansion of human slash AI civilization out covering a large chunk of our future lightcon ultimately. There's a lot of people that are quite rightfully worried about the future of AI.
Starting point is 00:23:12 What would you say to people to comfort them about what the future might hold? Well, I mean, I'm not really trying to do that. I think of my role more as trying to understand what is going on and what might happen if there are things we can do to sort of increase the odds of a positive outcome. it's not really like a self-help book in that sense or like a kind of feel good. But I do think there's a lot we don't understand about how things will go. I mean, we've never had an machine intelligence transition before, right? We've never inhabited a technologically immature world.
Starting point is 00:23:53 We've never developed superintelligence. And there's kind of a limit to how much we can predict about these things. and so as long as there is ignorance, there is hope, could turn out to go better than we fear it will. And I think the jury is still very much out. And most of the uncertainty, I would think, is uncertainty about the intrinsic difficulty of the challenge we face. There is also some uncertainty about the degree to which we will get our act together.
Starting point is 00:24:25 And certainly if we make a good effort, if we do the research properly on the alignment, and good people work to, you know, ensure we get smart and compassionate governance solutions, etc. That shifts the odds to the favorable side. But there is still the big unknown, which is we don't really know how hard the challenge is. Is it the case that any civilization that makes some sort of at least half-assed effort, like basically it kind of self-corrects and eventually you get the good outcome?
Starting point is 00:24:53 Or is it, are we kind of doomed no matter what? This is just like a challenge, you know, five levels above. what we humans are capable of. And we can try, but it's still, we don't really know where on that spectrum this challenge is. So, yeah, I think that's like, yeah, it's a weird situation to be. If this picture of the world is correct,
Starting point is 00:25:15 where we are relatively close to this critical juncture in human history has been going for thousands and thousands of years, right? And so many people have lived and died, you know, most of them kind of a hundred gatherers or farmers and that right now, like you and I should be sitting just right next to this big fulcrum of cosmic history. Like, that's kind of odd, if that's the way it is. Thank you for listening to this episode of Instant Genius.
Starting point is 00:25:46 That was Nick Bowstrom on The Future of AI. The Instant Genius podcast is brought to you by the team behind BBC Science Focus magazine, which you can find on sale now in supermarkets and news agents. as well as on your preferred app store. Alternatively, you can come and find us online at sciencefocus.com. This podcast is sponsored by Name, Audio and Focal. The texture and emotional depth of music can be lost through digital sources or poor signal. Name Audio believes you can have digital precision with analog warmth.
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