Demis Hassabis

So one has to expose them to a certain extent, although that's not necessarily the weight.

We have a lot of processes in place about making sure that only if you need them that you have access to those people who need access, have access.

And right now, I think we're still in the early days of those kinds of systems being at risk.

And as these systems become more powerful and more general and more capable, I think one has to look at the access question.

Well, we helped pioneer our LHF and other things like that, which can also be obviously used for performance, but also for safety.

I think that a lot of the self-play ideas and these kinds of things could also be used potentially to auto test a lot of the boundary conditions that you have with the new systems.

I mean, part of the issue is that with these sort of very general systems, there's so much surface area.

to cover about how these systems behave.

So I think we are going to need some automated testing.

And again, with things like simulations and games environment, very realistic environments, virtual environments, I think we have a long history in that and using those kinds of systems and making use of them for building AI algorithms.

So I think we can leverage all of that

history.

And then around at Google, we're very lucky we have some of the world's best cybersecurity experts, hardware designers.

So I think we can bring that to bear for security and safety as well.

Great, great.

Yeah, I think we're just at the beginning of actually understanding what a full multimodal model system, how exciting that might be to interact with.

And it'll be quite different to, I think, what we're used to today with the chatbots.

I think the next versions of this over the next year, 18 months, maybe we'll have some contextual understanding around the environment around you through a camera or whatever it is, a phone.

I could imagine that as the next awesome glasses, the next step.

And then I think that we'll start becoming more fluid in understanding, oh, let's sample from a video.