Tamay Besiroglu

Or it's going to give you one response and it's going to ask you if it's good or not.

Well, why are they doing that?

That's a way in which they are getting user data through this extremely broad deployment.

So I think you should just imagine that thing to continue to be efficient and continue to increase in the future, because it just makes sense.

And then there's a separate question of, well, suppose you didn't do any of that.

Suppose you just tried to imagine the most rudimentary, the most narrowest possible kind of infrastructure build-out and deployment that would be sufficient to get this positive feedback loop that leads to much more efficient AIs.

I agree that loop could, in principle, be much smaller than the entire world.

I think it probably couldn't be as small as Transylvania Desert, but it could be much smaller than the entire world.

But then there's a separate question of would you actually do that?

Would that be efficient?

I think some people have the intuition that there are just these extremely strong constraints, maybe regulatory constraints, maybe social political constraints, to doing this broad deployment.

They just think it's going to be very hard.

So I think that's part of the reason why they imagine these more narrow scenarios where they think it's going to be easier.

But I think that's overstated.

I think people's intuitions for how hard this kind of deployment is comes from cases where the deployment of the technology wouldn't be that valuable.

So it might come from housing.

We have a lot of regulations on housing.

Maybe it comes from nuclear power.

Maybe it comes from supersonic flights.

I mean, those are all technologies that would be useful if they were maybe less regulated.