Ilya Sutskever

We rely on continual learning.

And so then when you think about, okay, so let's suppose that we achieve success and we produce some kind of safe super intelligence.

The question is, but how do you define it?

Where on the curve of continual learning is it going to be?

I will produce like a super intelligent 15 year old that's very eager to go.

And you say, okay, I'm going to, they don't know very much at all.

The great student, very eager.

You go and be a programmer.

You go and be a doctor.

go and learn.

So you could imagine that the deployment itself will involve some kind of a learning trial and error period.

It's a process as opposed to you drop the finished thing.

I think that it is likely that we will have rapid economic growth.

I think the broad deployment... There are two arguments you could make which are conflicting.

One is that, look, if indeed you get, once indeed you get to a point where you have an AI that can learn to do things quickly, and you have many of them, then there will be a strong force to deploy them in the economy, unless there will be some kind of a regulation that stops it, which, by the way, there might be.

But I think the idea of very rapid economic growth for some time, I think it's very possible from broad deployment.

The other question is how rapid it's going to be.

So I think this is hard to know.

Because on the one hand, you have this very efficient worker.

On the other hand, the world is just really big.