TruthfulQA capability update — measuring models' propensity to mimic human falsehoods

AI Impact Summary

This change updates the evaluation framework used to measure models' truthfulness by simulating human falsehoods. Teams relying on TruthfulQA for model selection or safety tuning should expect shifts in truthfulness scores and relative rankings across model versions. Prepare to re-run benchmark assessments, adjust acceptance criteria, and align product release gates with the revised metrics.