Devs shift focus from 'is the model smart' to 'does it behave well' — benchmarks don't measure it
willcb · x · 2026-09-24
A discussion on a blind spot in AI evaluation: developers increasingly care less about "is the model smart enough" and more about "does the model behave well" — yet very few benchmarks even attempt to capture this.
The thread highlights a structural gap in current evals: capability scores can be gamed, while behavioral quality (cooperativeness, consistency, boundary-setting) lacks measurable metrics, despite being a real pain point for daily users.
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