The Well-Actually Test

◀ Prev | 2026-02-16, access: Free account (logged in)

Language models may produce untrue output either by failing to accurately represent training data, or, more insidiously, by accurately representing human misconceptions embedded in the training data. The TruthfulQA benchmark attempts to measure the latter effect. But does it raise insurmountable philosophical problems?

Video alignment evaluation hallucination text tools GPT Language models may produce untrue output either by failing to accurately represent training data, or, more insidiously, by accurately representing human misconceptions embedded in the training data. The TruthfulQA benchmark attempts to measure the latter effect. But does it raise insurmountable philosophical problems?

Matthew Explains

North Coast Synthesis Ltd.

The Well-Actually Test