Grant Harvey

Overall, with some of these tool uses, yeah, it tries out the tool.

Right.

And so if it was doing that in a science on like a science model, like you mentioned, like, uh, like if it's doing like a fit, like physics simulation or something, it would still be getting the data back and then it would still be kind of working the same way.

So what I didn't hear there was whether or not you're over or under on a college degree.

And I say that jokingly, but I do actually want to know, based on where we're at now, do we need to rethink education to a certain degree for human programmers now that AI can excel at these types of contests or all the things where AI is continually improving?

Is it still worth it to go to school to learn programming?

I mean, this could be your personal opinion.

Is there a, like, a competitive science competition?

And I was thinking, well, the Nobel Prize.

Like, next goal unlocked is AI wins a Nobel Prize, right?

I could see it.

I don't know what we need between now and then to get to that point, but I could see it happening.

Are you familiar with the X Prize, either of you?

Like it could be like the X Prize, right?

Where the X Prize is like groups of scientists, researchers try to compete to solve these really hard problems and they get money from it.

So maybe that's your next challenge.

Win the X Prize.

Yeah.

All right.

We're going to ask our favorite question here, which is what's in your personal AI stack right now?