OpenAI’s Navier–Stokes Claim: Is This What AGI Looks Like? with Emad Mostaque

Did OpenAI just solve Navier–Stokes—and what would that actually mean for AGI?

Emad Mostaque joins Brian Keating LIVE to examine the claimed breakthrough, what would count as a verified solution, and whether AI solving a major mathematical problem changes the debate about intelligence—or control.

Watch my explainer about AI and the Navier-Stokes problem, including insights from Terry Tao https://youtu.be/je9X59psm6U?si=wGbcLhXmf47jeCHL?sub_confirmation=1

A convincing answer isn’t necessarily a proof. A mathematical breakthrough isn’t automatically AGI. But if this claim holds up, how much should we update our expectations?

Emad helped bring Stable Diffusion to the world and signed the letter calling for a pause on frontier AI development. In his previous conversation with Brian and AI safety researcher Roman Yampolskiy, he questioned how such a pause could work—and highlighted swarm intelligence as a particularly dangerous and unpredictable risk.

Now we return to the question underneath the excitement: if AI’s capabilities are accelerating, is our ability to understand and control them keeping up?

ON THE TABLE:

• What exactly is being claimed about Navier–Stokes?

• What separates a proposed solution from an accepted mathematical proof?

• If the result holds up, does it demonstrate AGI—or something narrower?

• Can AI produce discoveries that humans struggle to verify?

• What would this change about open-source AI and the argument for a pause?