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Glossary · Optimization and failure dynamics

Tested exposureb*

4Validation

The largest optimization exposure tested before the evaluator and an independent reference anchor diverge beyond a predeclared tolerance. It makes adaptive validity expire: report it with the tested range, never as robustness beyond it.

Also called: b-star

Defined in

Handbook · Validity under pressureAdaptive validityAccuracy before any optimization is not the question. How evaluator error grows under best-of-N and training, and how to measure an exploitability curve.
Exploitability curve
Disagreement between an evaluator and an independent reference anchor as a function of optimization exposure b. b* is the largest tested exposure before divergence exceeds a predeclared tolerance.
Adaptive validity
Validity of an evaluator after the system it measures has been optimized against it by selection, search, training, or developer iteration. Measured with an exploitability curve; accuracy on ordinary outputs does not establish it.

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