Nick Bostrom Made the World Fear AI. Now He Asks: What if It Fixes Everything?

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WILL KNIGHT
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MAY 2, 2024 12:00 PM

Nick Bostrom Made the World Fear AI. Now He Asks: What if It Fixes Everything?​

Philosopher Nick Bostrom popularized the idea superintelligent AI could erase humanity. His new book imagines a world in which algorithms have solved every problem.

Nick Bostrom

PHOTOGRAPH: THE WASHINGTON POST/GETTY IMAGES

Philosopher Nick Bostrom is surprisingly cheerful for someone who has spent so much time worrying about ways that humanity might destroy itself. In photographs he often looks deadly serious, perhaps appropriately haunted by the existential dangers roaming around his brain. When we talk over Zoom, he looks relaxed and is smiling.

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This is an edition of WIRED's Fast Forward newsletter, a weekly dispatch from the future by Will Knight, exploring AI advances and other technology set to change our lives.

Bostrom has made it his life’s work to ponder far-off technological advancement and existential risks to humanity. With the publication of his last book, Superintelligence: Paths, Dangers, Strategies, in 2014, Bostrom drew public attention to what was then a fringe idea—that AI would advance to a point where it might turn against and delete humanity.

To many in and outside of AI research the idea seemed fanciful, but influential figures including Elon Musk cited Bostrom’s writing. The book set a strand of apocalyptic worry about AI smoldering that recently flared up following the arrival of ChatGPT. Concern about AI risk is not just mainstream but also a theme within government AI policy circles.

Bostrom’s new book takes a very different tack. Rather than play the doomy hits, Deep Utopia: Life and Meaning in a Solved World, considers a future in which humanity has successfully developed superintelligent machines but averted disaster. All disease has been ended and humans can live indefinitely in infinite abundance. Bostrom’s book examines what meaning there would be in life inside a techno-utopia, and asks if it might be rather hollow. He spoke with WIRED over Zoom, in a conversation that has been lightly edited for length and clarity.

Will Knight: Why switch from writing about superintelligent AI threatening humanity to considering a future in which it’s used to do good?

Nick Bostrom:
The various things that could go wrong with the development of AI are now receiving a lot more attention. It's a big shift in the last 10 years. Now all the leading frontier AI labs have research groups trying to develop scalable alignment methods. And in the last couple of years also, we see political leaders starting to pay attention to AI.

There hasn't yet been a commensurate increase in depth and sophistication in terms of thinking of where things go if we don't fall into one of these pits. Thinking has been quite superficial on the topic.

When you wrote Superintelligence, few would have expected existential AI risks to become a mainstream debate so quickly. Will we need to worry about the problems in your new book sooner than people might think?

As we start to see automation roll out, assuming progress continues, then I think these conversations will start to happen and eventually deepen.

Social companion applications will become increasingly prominent. People will have all sorts of different views and it’s a great place to maybe have a little culture war. It could be great for people who couldn't find fulfillment in ordinary life but what if there is a segment of the population that takes pleasure in being abusive to them?

In the political and information spheres we could see the use of AI in political campaigns, marketing, automated propaganda systems. But if we have a sufficient level of wisdom these things could really amplify our ability to sort of be constructive democratic citizens, with individual advice explaining what policy proposals mean for you. There will be a whole bunch of dynamics for society.

Would a future in which AI has solved many problems, like climate change, disease, and the need to work, really be so bad?

Ultimately, I'm optimistic about what the outcome could be if things go well. But that’s on the other side of a bunch of fairly deep reconsiderations of what human life could be and what has value. We could have this superintelligence and it could do everything: Then there are a lot of things that we no longer need to do and it undermines a lot of what we currently think is the sort of be all and end all of human existence. Maybe there will also be digital minds as well that are part of this future.

Coexisting with digital minds would itself be quite a big shift. Will we need to think carefully about how we treat these entities?

My view is that sentience, or the ability to suffer, would be a sufficient condition, but not a necessary condition, for an AI system to have moral status.

There might also be AI systems that even if they're not conscious we still give various degrees of moral status. A sophisticated reasoner with a conception of self as existing through time, stable preferences, maybe life goals and aspirations that it wants to achieve, and maybe it can form reciprocal relationships with humans—if that were such a system I think that plausibly there would be ways of treating it that would be wrong.

COURTESY OF IDEAPRESS

What if we didn’t allow AI to become more willful and develop some sense of self. Might that not be safer?

There are very strong drivers for advancing AI at this point. The economic benefits are massive and will become increasingly evident. Then obviously there are scientific advances, new drugs, clean energy sources, et cetera. And on top of that, I think it will become an increasingly important factor in national security, where there will be military incentives to drive this technology forward.

I think it would be desirable that whoever is at the forefront of developing the next generation AI systems, particularly the truly transformative superintelligent systems, would have the ability to pause during key stages. That would be useful for safety.

I would be much more skeptical of proposals that seemed to create a risk of this turning into AI being permanently banned. It seems much less probable than the alternative, but more probable than it would have seemed two years ago. Ultimately it wouldn't be an immense tragedy if this was never developed, that we were just kind of confined to being apes in need and poverty and disease. Like, are we going to do this for a million years?

Turning back to existential AI risk for a moment, are you generally happy with efforts to deal with that?

Well, the conversation is kind of all over the place. There are also a bunch of more immediate issues that deserve attention—discrimination and privacy and intellectual property et cetera.

Companies interested in the longer term consequences of what they're doing have been investing in AI safety and in trying to engage policymakers. I think that the bar will need to sort of be raised incrementally as we move forward.

In contrast to so-called AI doomers there are some who advocate worrying less and accelerating more. What do you make of that movement?

People sort of divide themselves up into different tribes that can then fight pitched battles. To me it seems clear that it’s just very complex and hard to figure out what actually makes things better or worse in particular dimensions.

I've spent three decades thinking quite hard about these things and I have a few views about specific things but the overall message is that I still feel very in the dark. Maybe these other people have found some shortcuts to bright insights.

Perhaps they’re also reacting to what they see as knee-jerk negativity about technology?

That’s also true. If something goes too far in another direction it naturally creates this. My hope is that although there are a lot of maybe individually irrational people taking strong and confident stances in opposite directions, somehow it balances out into some global sanity.

I think there's like a big frustration building up. Maybe as a corrective they have a point, but I think ultimately there needs to be a kind of synthesis.

Since 2005 you have worked at Oxford University’s Future of Humanity Institute, which you founded. Last month it announced it was closing down after friction with the university’s bureaucracy. What happened?

It's been several years in the making, a kind of struggle with the local bureaucracy. A hiring freeze, a fundraising freeze, just a bunch of impositions, and it became impossible to operate the institute as a dynamic, interdisciplinary research institute. We were always a little bit of a misfit in the philosophy faculty, to be honest.

What’s next for you?

I feel an immense sense of emancipation, having had my fill for a period of time perhaps of dealing with faculties. I want to spend some time I think just kind of looking around and thinking about things without a very well-defined agenda. The idea of being a free man seems quite appealing.
 

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Dario Amodei​





Contents​





Machines of Loving Grace​


How AI Could Transform the World for the Better

October 2024

I think and talk a lot about the risks of powerful AI. The company I’m the CEO of, Anthropic, does a lot of research on how to reduce these risks. Because of this, people sometimes draw the conclusion that I’m a pessimist or “doomer” who thinks AI will be mostly bad or dangerous. I don’t think that at all. In fact, one of my main reasons for focusing on risks is that they’re the only thing standing between us and what I see as a fundamentally positive future. I think that most people are underestimating just how radical the upside of AI could be, just as I think most people are underestimating how bad the risks could be.

In this essay I try to sketch out what that upside might look like—what a world with powerful AI might look like if everything goes right. Of course no one can know the future with any certainty or precision, and the effects of powerful AI are likely to be even more unpredictable than past technological changes, so all of this is unavoidably going to consist of guesses. But I am aiming for at least educated and useful guesses, which capture the flavor of what will happen even if most details end up being wrong. I’m including lots of details mainly because I think a concrete vision does more to advance discussion than a highly hedged and abstract one.

First, however, I wanted to briefly explain why I and Anthropic haven’t talked that much about powerful AI’s upsides, and why we’ll probably continue, overall, to talk a lot about risks. In particular, I’ve made this choice out of a desire to:

  • Maximize leverage. The basic development of AI technology and many (not all) of its benefits seems inevitable (unless the risks derail everything) and is fundamentally driven by powerful market forces. On the other hand, the risks are not predetermined and our actions can greatly change their likelihood.
  • Avoid perception of propaganda. AI companies talking about all the amazing benefits of AI can come off like propagandists, or as if they’re attempting to distract from downsides. I also think that as a matter of principle it’s bad for your soul to spend too much of your time “talking your book”.
  • Avoid grandiosity. I am often turned off by the way many AI risk public figures (not to mention AI company leaders) talk about the post-AGI world, as if it’s their mission to single-handedly bring it about like a prophet leading their people to salvation. I think it’s dangerous to view companies as unilaterally shaping the world, and dangerous to view practical technological goals in essentially religious terms.
  • Avoid “sci-fi” baggage. Although I think most people underestimate the upside of powerful AI, the small community of people who do discuss radical AI futures often does so in an excessively “sci-fi” tone (featuring e.g. uploaded minds, space exploration, or general cyberpunk vibes). I think this causes people to take the claims less seriously, and to imbue them with a sort of unreality. To be clear, the issue isn’t whether the technologies described are possible or likely (the main essay discusses this in granular detail)—it’s more that the “vibe” connotatively smuggles in a bunch of cultural baggage and unstated assumptions about what kind of future is desirable, how various societal issues will play out, etc. The result often ends up reading like a fantasy for a narrow subculture, while being off-putting to most people.

Yet despite all of the concerns above, I really do think it’s important to discuss what a good world with powerful AI could look like, while doing our best to avoid the above pitfalls. In fact I think it is critical to have a genuinely inspiring vision of the future, and not just a plan to fight fires. Many of the implications of powerful AI are adversarial or dangerous, but at the end of it all, there has to be something we’re fighting for, some positive-sum outcome where everyone is better off, something to rally people to rise above their squabbles and confront the challenges ahead. Fear is one kind of motivator, but it’s not enough: we need hope as well.

The list of positive applications of powerful AI is extremely long (and includes robotics, manufacturing, energy, and much more), but I’m going to focus on a small number of areas that seem to me to have the greatest potential to directly improve the quality of human life. The five categories I am most excited about are:

  1. Biology and physical health
  2. Neuroscience and mental health
  3. Economic development and poverty
  4. Peace and governance
  5. Work and meaning

My predictions are going to be radical as judged by most standards (other than sci-fi “singularity” visions<a href="Dario Amodei — Machines of Loving Grace">2</a>), but I mean them earnestly and sincerely. Everything I’m saying could very easily be wrong (to repeat my point from above), but I’ve at least attempted to ground my views in a semi-analytical assessment of how much progress in various fields might speed up and what that might mean in practice. I am fortunate to have professional experience in both biology and neuroscience, and I am an informed amateur in the field of economic development, but I am sure I will get plenty of things wrong. One thing writing this essay has made me realize is that it would be valuable to bring together a group of domain experts (in biology, economics, international relations, and other areas) to write a much better and more informed version of what I’ve produced here. It’s probably best to view my efforts here as a starting prompt for that group.



Basic assumptions and framework​


To make this whole essay more precise and grounded, it’s helpful to specify clearly what we mean by powerful AI (i.e. the threshold at which the 5-10 year clock starts counting), as well as laying out a framework for thinking about the effects of such AI once it’s present.

What powerful AI (I dislike the term AGI)<a href="Dario Amodei — Machines of Loving Grace">3</a> will look like, and when (or if) it will arrive, is a huge topic in itself. It’s one I’ve discussed publicly and could write a completely separate essay on (I probably will at some point). Obviously, many people are skeptical that powerful AI will be built soon and some are skeptical that it will ever be built at all. I think it could come as early as 2026, though there are also ways it could take much longer. But for the purposes of this essay, I’d like to put these issues aside, assume it will come reasonably soon, and focus on what happens in the 5-10 years after that. I also want to assume a definition of what such a system will look like, what its capabilities are and how it interacts, even though there is room for disagreement on this.

By powerful AI, I have in mind an AI model—likely similar to today’s LLM’s in form, though it might be based on a different architecture, might involve several interacting models, and might be trained differently—with the following properties:

  • In terms of pure intelligence<a href="Dario Amodei — Machines of Loving Grace">4</a>, it is smarter than a Nobel Prize winner across most relevant fields – biology, programming, math, engineering, writing, etc. This means it can prove unsolved mathematical theorems, write extremely good novels, write difficult codebases from scratch, etc.
  • In addition to just being a “smart thing you talk to”, it has all the “interfaces” available to a human working virtually, including text, audio, video, mouse and keyboard control, and internet access. It can engage in any actions, communications, or remote operations enabled by this interface, including taking actions on the internet, taking or giving directions to humans, ordering materials, directing experiments, watching videos, making videos, and so on. It does all of these tasks with, again, a skill exceeding that of the most capable humans in the world.
  • It does not just passively answer questions; instead, it can be given tasks that take hours, days, or weeks to complete, and then goes off and does those tasks autonomously, in the way a smart employee would, asking for clarification as necessary.
  • It does not have a physical embodiment (other than living on a computer screen), but it can control existing physical tools, robots, or laboratory equipment through a computer; in theory it could even design robots or equipment for itself to use.
  • The resources used to train the model can be repurposed to run millions of instances of it (this matches projected cluster sizes by ~2027), and the model can absorb information and generate actions at roughly 10x-100x human speed<a href="Dario Amodei — Machines of Loving Grace">5</a>. It may however be limited by the response time of the physical world or of software it interacts with.
  • Each of these million copies can act independently on unrelated tasks, or if needed can all work together in the same way humans would collaborate, perhaps with different subpopulations fine-tuned to be especially good at particular tasks.

We could summarize this as a “country of geniuses in a datacenter”.

Clearly such an entity would be capable of solving very difficult problems, very fast, but it is not trivial to figure out how fast. Two “extreme” positions both seem false to me. First, you might think that the world would be instantly transformed on the scale of seconds or days (“the Singularity”), as superior intelligence builds on itself and solves every possible scientific, engineering, and operational task almost immediately. The problem with this is that there are real physical and practical limits, for example around building hardware or conducting biological experiments. Even a new country of geniuses would hit up against these limits. Intelligence may be very powerful, but it isn’t magic fairy dust


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