Francois Chollet

I don't have any specific examples, but literally...

Like take this situation, for instance, you've never been here in this room.

Maybe you've been in this city a few times, I don't know, but there's a fair amount of novelty.

You've never been, you know, interviewing me.

There's a fair amount of novelty in every hour of every day in your life.

And it's in fact...

by and large, more novelty than any LLM could handle.

Like if you just put a LLM in a robot, it could not be doing all the things that you've been doing today, right?

Or take, I don't know, like cell driving cars, for instance.

You take a cell driving car operating in the barrier.

Do you think you could just drop it in New York City or drop it in London where people drive on the left?

No, it's going to fail.

So not only can you drop, not like...

make it generalize to a change of rules, of driving rules.

But you cannot even make it generalize to a new city.

It needs to be trained on each specific environment.

It's the same architecture.

We have a memory, but we are not a memory.

We are not limited to just a memory.

What about I just send them an arc puzzle and see how they do?