Andrej Karpathy

And we have some very early agents that are actually extremely impressive and that I use daily, you know, Cloud and Codex and so on.

But I still feel like there's so much work to be done.

And so I think my reaction is like, we'll be working with these things for a decade.

They're going to get better and it's going to be wonderful.

But I think I was just reacting to the timelines, I suppose, of the

of the implication.

And what do you think will take a decade to accomplish?

What are the bottlenecks?

Well, actually make it work.

So in my mind, I mean, when you're talking about an agent, I guess, or what the labs have in mind and what maybe I have in mind as well, is it's, you should think of it almost like an employee or like an intern that you would hire to work with you.

So for example, you work with some employees here.

When would you prefer to have an agent like Cloud or Codex do that work?

Like currently, of course they can't.

What would it take for them to be able to do that?

Why don't you do it today?

And the reason you don't do it today is because they just don't work.

So, like, they don't have enough intelligence.

They're not multimodal enough.

They can't do computer use and all this kind of stuff.

And they don't do a lot of the things that you've alluded to earlier.