Ahmed El-Kishky

So, I mean, to be fair, I don't think I'm even at the level where I can judge these problems.

So that's fair.

Like these college students are like, there's something else.

I mean, they really should be proud.

These are some of the most brilliant college students in the world.

Uh, and if I took these competitions, maybe if I'm lucky, I'd get one, but that's being generous.

Um,

But I mean, after the competition, I looked at the problems and it was really interesting to me that one of the problems that no human contestants solved, our model solved pretty straightforward.

The problem that we struggled with the most, it was also a difficult problem.

The people that solved it among the human contestants took, you know, nearly all the time to solve it.

So it shows me that like,

Maybe what's difficult for an AI isn't necessarily what's difficult for a human, and maybe what's difficult for a human isn't necessarily what's difficult for an AI.

But yeah, so that was sort of the interesting aspect to me.

I guess I do have the privilege of being able to peek into the chain of thoughts from these models.

And it's honestly, sometimes it's a little bit crazy to read through because they're so, yeah, like they do like such clever things.

Yeah.

So I'll tell you a bit of a story actually.

Let's make this a story over like how it started versus where it's at now.

When it started, it would basically barely even reason.

It would just try to output the answer when we first started like competitor's programming two years ago.