OpenAI’s Lean 4 Navier-Stokes proof compiles with zero errors, but the fluid vaporizes at 0.7 nm. What does this mean for Neuro-Symbolic AI? [D]

A discussion on a developer community forum highlights an OpenAI Lean 4 Navier-Stokes proof that compiles without errors but results in fluid vaporization at 0.7 nm. This raises questions about the implications for Neuro-Symbolic AI, specifically how to teach AI systems to generate solutions that are not only mathematically sound but also physically meaningful. The community is invited to share insights, particularly from experts in automated theorem proving, AI alignment, or scientific modeling.

This discussion moves beyond typical AI proof compilation issues to address the critical challenge of physical meaningfulness, unlike most reports focusing solely on mathematical correctness.