Mustafa Suleyman

It's insane.

And, you know, I think that's quite likely.

That to me looks quite likely in terms of the scale of the models that are going to be trained.

And so...

You can think about compute as creating more neurons to represent more information or more subtle connections between the information that is already in the network.

So that's what more compute is doing, is providing more layers of connectivity.

which allows for more nuance, more precision, more creativity, more accuracy of recall, et cetera, et cetera.

So it's pretty clear to me that the performance is going to continue to improve quite consistently.

I'm quite optimistic about that now.

It's not even about optimism.

I think it's a very sensible prediction.

I agree.

Yeah.

In which case, we're kind of in the regime where these models are going to arrive.

They're going to be as good as humans at most tasks in the next three to 10 years, somewhere along that time horizon.

And so we're going to have to contend with this question that first, the frontier labs are going to have these very powerful systems.

And then most likely the open sources too.

So it's just a breathtaking just reality that I think most people are not yet fully grasping, even though everyone can see the magic of Copilot and ChatGPT and Gemini and Claude today.

Yeah.

I mean, it sounds simplistic, but I really like the framework, helpful, harmless, and honest, which Anthropic came up with three or four years ago.