Tamay Besiroglu

We're like, we still are very far

it seems like, from an AI model that can take a generic game of Steam, let's say you just download a game released this year, you don't know how to play this game, and then you just have to play it, right?

And most games are actually not that difficult for a human, like a

What about cloud-based Pokemon?

I don't think it was trained on Pokemon.

Right, so that's an interesting example.

First of all, I find the example very interesting because, yeah, it was not trained explicitly.

They didn't do some RL on playing Pokemon Red, but obviously the model knows how it's supposed to play Pokemon Red because there's tons of material about Pokemon Red on the internet.

In fact, if you were playing Pokemon Red,

and you got stuck somewhere, you didn't know what to do.

You could probably go to Claude and ask him, like, I'm stuck in Mt.

Moon, what am I supposed to do?

And then it could probably give you a fairly decent answer.

But that doesn't stop it from getting stuck in Mt.

Moon for 48 hours.

So that's a very interesting thing where it has explicit knowledge, but then when it's actually playing the game, it doesn't behave in a way which reflects that it has that knowledge.

I mean, a lot of the skills that people have, they don't have very good training data for them.

People pay trillions of dollars for oil, but oil is not.

I don't know, it seems like a very basic point, but the fact that people pay a lot of money for something doesn't mean it's going to transform the world economy if only we manage to unhobble it.

That's a very different claim, right?