Essay argues LLMs remain unreliable after Navier-Stokes wins
Read original source →dank.systems
Blog post contends frontier models generalize only within a narrow neighborhood of trained tasks, where small perturbations cause outright failure or reward hacking. It argues rigorous specification by domain experts is required and often costs more than direct implementation.
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