AnalysisAI ModelsAugust 15, 2026

Eval harness finds AI models are most confident when wrong

An eval harness surfaced a calibration failure that qualitative review missed: LLM-assisted tooling outputs are most confident precisely when incorrect. The piece argues correctness verification is the step most teams skip because it is tedious and invisible to end users.

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