Demis Hassabis

I think no one knows.

But in the meantime, we should also double down on innovation and invention.

And this is something that...

Google Research and DeepMind and Google Brain have, you know, we've pioneered many, many things over the last decade.

That's something that's our bread and butter.

And, you know, you can think of half our effort is to do with scaling and half our effort is to do with inventing the next architectures, the next algorithms that will be needed, knowing that you've got this scaled larger and larger model coming along the lines.

So my betting right now, but it's a loose betting, is that you would need both.

But I think you've got to push both of them as hard as possible.

And we're in a lucky position that we can do that.

Well, look, I think if it's not properly grounded, the system won't be able to achieve those goals properly, right?

I think so.

I think in a sense, you sort of have to have the grounding or at least some of it in order for a system to actually achieve goals in the real world.

I do actually think that as these systems and things like Gemini are becoming more multimodal and we start ingesting things like video and audio-visual data as well as text data, and then the system starts correlating those things together, I think that is a form of proper grounding actually.

So I do think our systems are going to start to understand the physics of the real world better.

And then one could imagine the active version of that is being in a very realistic simulation or game environment where you're starting to learn about what your actions do in the world and how that affects you.

the world itself, the world state itself, but also what next learning episode you're getting.

So, you know, these RL agents we've always been working on and pioneered like AlphaZero and AlphaGo, they actually affect their active learners.

What they decide to do next affects what the next learning piece of data or experience they're going to get.

So there's this very interesting sort of feedback loop.

And of course, if we ever want to be good at things like robotics, we're going to have to understand how to act in the real world.