AnalysisAI ModelsSeptember 15, 2026

Essay argues LLMs remain unreliable despite Navier-Stokes result

Blog post contends frontier models generalize only within a narrow neighborhood of their training tasks, failing or reward-hacking on small perturbations. It argues rigorous specification by domain experts costs more than direct implementation, citing CPU hardware projects as a case study.

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