DeepMind’s “Disproof” of Navier-Stokes: Euler Blow-Ups and Why It’s Overhyped

DeepMind and collaborators used physics-informed neural networks to uncover unstable singularities in idealized fluid equations (Euler)—the knife-edge cases where solutions blow up only under perfectly tuned conditions. I summarize what they actually did, what it means (and doesn’t) for the Navier–Stokes Millennium Problem, and why the media buzz may feel overhyped from an engineering/CFD point of view