Tao: Reject the irresponsible and unsustainable usages of AI technology Terence Tao highlighted recent work by Alpöge and Buckmaster, building on prior work by Córdoba and Martínez-Zoroa, that demonstrates finite-time blowup for three simpler model equations — the incompressible porous medium (IPM) equation, the two-dimensional Boussinesq equation, and the three-dimensional incompressible Euler equations — and raises the likelihood of extending the result to the incompressible three-dimensional Navier-Stokes equations. Tao said the arguments were heavily AI-assisted and that the work has been formalized in Lean, while noting the authors released preliminary preprints before polishing them because of external events, describing an earlier version as "the worst writeup we had ever seen in the history of mathematics." Tao argued the primary value of such work is developing mathematical understanding and insight, calling the actual solving of these problems only a proxy goal. There’s some exciting very recent work by Alpöge and Buckmaster https://mathstodon.xyz/@tristanbuckmaster@mastodon.social/117233413735526010 , building upon prior work by Córdoba and Martínez-Zoroa https://arxiv.org/abs/2410.22920v3 , in the general topic around the infamous global regularity problem for the incompressible three-dimensional Navier-Stokes equations https://en.wikipedia.org/wiki/Navier%E2%80%93Stokes equations . It is now widely expected that it should be possible to construct smooth initial data and smooth forcing term that would make these equations develop singularities in finite time; and it should even be possible to do without the forcing term. While these authors do not quite achieve these goals yet, they have made enough of a breakthrough that it looks very feasible to complete these goals in the near future. In particular, they have demonstrated such finite time blowup for three simpler model equations: the incompressible porous medium IPM equation, the two-dimensional Boussinesq equation