Mark Zuckerberg

So I think that there's like a lot of, and we talked about this a bunch on the last time that I was, that it was on the podcast with you.

And

I think some of these are just like physical world, human time things that as you start getting more intelligence in one part of the stack, you'll basically just run into a different set of bottlenecks.

I mean, that's sort of the way that engineering always works.

It's like you solve one bottleneck, you get another bottleneck.

Another bottleneck in the system or another ingredient that's going to make this work well is basically people...

getting used to and learning and having a feedback loop with using the system.

So I don't think like, like these systems don't tend to be the type of thing where like,

something just shows up fully formed and then people magically fully know how to use it.

And that's the end.

I think that there is this co-evolution that happens where people are learning how to best use these AI assistants,

On the same side, the AI assistants are learning what those people care about.

And the developers of those AI assistants are able to make the kind of AI assistants better.

And then you're also building up this base of context.

So now you wake up and you're like a year or two into it.

And now the AI assistant can reference things that you talked about a couple of years ago.

And like, that's pretty cool.

But you couldn't do that if you just launched the perfect thing on day one.

There's no way that it could reference what you talked about two years ago if it didn't exist two years ago.

So I guess my view is like, there's this huge intelligence growth.