Ahmed El-Kishky

It's a five hour competition.

You basically, it's live.

So it's not like, oh, we're having technical issues.

Let's push this back by an hour.

We were like in the same situation as the students.

People were nervous.

They get the problems in the same PDF format.

And so everything had to be just ready to go.

And so they spent like, you know, a week before the competition, getting things up, trying it out, making sure that like things were going, doing a dry run.

Yeah.

You know, spending some of the like spending long nights trying to make sure everything's working and then just flying out.

And just, you know, after that, it's, you know, hope that you prepared well enough and the models can take it from there.

We wanted to see how well models that are available to the public can do.

So GPT-5, we just released it not too long before.

And so we wanted to really see how well could these models, given enough compute and attention, actually solve some of these problems.

And so it was kind of important to us to try out GPT-5.

The experimental reasoning model is stuff that we worked on.

We're always trying to improve our models.

We're always running new experiments, training larger models, more RL, and seeing how far we can push reasoning.

Some of these models never end up making it into chat GPT, but we're always learning from them.