Kevin Weil

You think we'll end up with, like, because now you still, people still value custom-made furniture.

You think we'll end up with, like, bespoke websites?

Yeah.

Like, this was done by a human.

Exactly.

Yeah, I mean, the industry is just moving insanely fast, right?

I've never seen anything like it.

It's exhilarating and it's fun and it's also, it's a lot to keep up with.

But I think that, I just think this moment kind of selects for people who are high agency and,

because you can now create anything that you can think of and you have no excuse if you've got an interesting idea not to like get you know codex thinking about it while you do something else whatever you were originally going to do in the morning keep doing that but have codex working on your idea in parallel and

Sometimes you'll wake up in the morning, have an idea and have a thing implemented by the time you're done with the day, in addition to doing what you thought you were going to do during the day.

So like people that are high agency, people that are really curious, people that learn quickly, those skills are more valuable than ever in this moment.

And, you know, kind of whatever the future holds, I think those skills are going to see us through.

Yep.

This OpenAI for Science group is only a few months old, although in some sense, of course, OpenAI has always cared deeply about science.

So I feel like even though we're a smallish team, we kind of have the might of all of OpenAI research at our back because every researcher at OpenAI cares about science.

scientific data has been one of the ways that we have improved our models for a long time.

But so we started thinking about math, physics, theoretical computer science, because you can do everything in Silico.

You have like closed loop systems that you can optimize and, you know,

Part of this is teaching the models to answer really hard scientific problems, teaching them to think, not for like 10 minutes or maybe the hour that you can get GPT-5 Pro to think if you ask it a really hard question, but teaching models to stay on track for...