Peter Norvig

for people to use.

for people to use.

Now, in terms of this generality versus general AI versus narrow AI, I think that's really important.

Now, in terms of this generality versus general AI versus narrow AI, I think that's really important.

And so there's multiple dimensions we want to measure.

And so there's multiple dimensions we want to measure.

So we want to focus on both generality and performance.

So we want to focus on both generality and performance.

So how good

So how good

are these machines and how general are they?

are these machines and how general are they?

So yes, we have fantastic chess playing programs that are better than the best human chess players.

So yes, we have fantastic chess playing programs that are better than the best human chess players.

And recently it's also true in Go and we see sort of every week it's true at something else.

And recently it's also true in Go and we see sort of every week it's true at something else.

but we haven't done quite as well at making them good at being general, right?

but we haven't done quite as well at making them good at being general, right?

So we have these large language models, the ChatGPT and Gemini and so on, and they're good at being general, but they're not completely competent yet at doing that, right?

So we have these large language models, the ChatGPT and Gemini and so on, and they're good at being general, but they're not completely competent yet at doing that, right?