Demis Hassabis: evaluation

Transcript context

…When you extrapolate all this out forward and you think about superhuman intelligence, what does that landscape look like to you? Is it still controlled by a private company? What should the governance of that look like concretely? I think that this is so consequential, this technology. I think it’s much bigger than any one company or even industry in general. I think it has to be a big collaboration with many stakeholders from civil society, academia, government, etc. The good news is that with the popularity of the recent chatbot systems, I think that has woken up many of these other parts of society to the fact that this is coming and what it will be like to interact with these systems. And that’s great. It’s opened up lots of doors for very good conversations. An example of that was the safety summit the UK hosted a few months ago, which I thought was a big success in getting this international dialogue going. I think the whole of society needs to be involved in deciding what we want to deploy these models for? How do we want to use them and what do we not want to use them for? I think we’ve got to try and get some international consensus around that and also make sure that these systems benefit everyone, for the good of society in general. That’s why I push so hard for things like AI for science. I hope that with things like our spin-out, Isomorphic, we’re going to start curing terrible diseases with AI, accelerate drug discovery, tackle climate change, and do other amazing things. There are big challenges that face humanity, massive challenges. I’m actually optimistic we can solve them because we’ve got this incredibly powerful tool of AI coming down the line that we can apply to help us solve many of these problems. Ideally, we would have a big consensus around that and a big discussion at sort of the UN level if possible. One interesting thing is if you look at these systems and chat with them, they’re immensely powerful and intelligent. But it’s interesting the extent to which they haven’t automated large sections of the economy yet. Whereas if five years ago I showed you Gemini, you’d be like “wow, this is totally coming for a lot of things.” So how do you account for that? What’s going on that it hasn’t had the broader impact yet?…

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