Greg Brockman

speaker

817 appearances 3 recordings 1 series first heard Aug 2025 last heard 8 Sep

Greg Brockman’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 2 in all, peaking in Sep 2026 with 2.

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TBPN · Math Wars, GG Navier Stokes, Greg Brockman Joins | Dan Wright, Eric Seufert, Scott Wu, Sahir Jaggi, Andrew Borovsky, Harry Mellsop · 8 Sep 2026 podcast

Doing

you for having me.

Well, uh it's always a huge day uh in uh AI and in modern scientific progress, I would say.

Uh today we announced that our model uh had solved the Navier Stokes uh problem.

Uh that we found a uh a counterexample or or an a a sort of proof that you can actually uh that these these uh theoretical equations do have a singularity or kind of break down under

certain circumstances.

And this is a problem that has been open for a very long time.

It's one of the seven millennium problems, which are kind of some of the deepest, most important problems in mathematics.

And I I think that the problem itself is important, right?

This is new knowledge for humanity, that the proof itself is actually very elegant and beautiful.

And I think that there's a lot to learn from it.

I and the the equations have lots of equ application and fluid dynamics and in other areas.

But to me, what's even more important is about what this represents about where we are in terms of model capabilities and the fact that we can actually generate new knowledge that we can learn from these models to and have them help us solve problems that are otherwise outside of reach or would take us very long to solve.

Look, I think that there's first of all the applications of this specific result or the equations themselves, right?

Which are things that let us better understand phenomena from ocean currents to airflow around aircraft, sure.

Uh around you know, turbulence and things like that.

But it's really about the broader insights and methods that can help scientists and mathematicians further accelerate their research.

And I think that again, representative of if we have models that can help

Yeah.

Then uh what happens from here?

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