“I think we’re just scratching the surface of what these AI assistants could actually do for us in our general, everyday lives and also in our work context as well. I think they’re not reliable yet enough to do things like science with them. But I think one day, once we fix factuality and grounding and other things, I think they could end up becoming, like, the world’s best research assistant, for you as a scientist or as a clinician. […] my personal passion has been AI for science and health.” — Demis Hassabis, Google Deepmind
“The security, I think, is super key, just as sort of normal cybersecurity type things. And I think we’re lucky at Google DeepMind. We’re kind of behind Google’s firewall and cloud protection, which, you know, I think, is best in class in the world corporately. So we already have that protection. And then behind that, we have specific DeepMind protections within our code base. So it’s sort of a double layer of protection. So I feel pretty good about that, that you can never be complacent on that. But I feel it’s already sort of best in the world in terms of cyber defenses, but we got to carry on improving that. And again, things like the hardened sandboxes could be a way of doing that as well. And maybe even there are specifically secure data centers or hardware solutions to this, too, that we’re thinking about. I think that maybe in the next three, four, five years, we would also want air gaps and various other things that are known in the security community. So I think that’s key. And I think all frontier labs should be doing that, because otherwise, nation-states and other things, rogue nation-states and other dangerous actors, there would be obviously a lot of incentive for them to steal things like the weights. And then, of course, open source is another interesting question, which is we’re huge proponents of open source and open science. I mean, almost every. We’ve published thousands of papers and things like AlphaFold and transformers, of course, and AlphaGo. All of these things we put out there into the world, published and open source, many of them Graphcast, most recently our weather prediction system. But when it comes to the core technology, the foundational technology, and very general purpose. I think the question I would have is for sort of open source proponents, is that how does one stop bad actors, individuals or up to rogue states taking those same open source systems and repurposing them because they’re general purpose for harmful ends? Right. So we have to answer that question. I don’t know what the answer is to that, but I haven’t heard a compelling, clear answer to that from proponents of just sort of open sourcing everything. So I think there has to be some balance there. But obviously, it’s a complex question of what that is.” – 42:00