Shameless Guesses Reframe AI Falsehoods

Updated: 2026.03.16 2H ago 1 sources
Calls to stop using the word 'hallucination' and instead treat AI false claims as deliberate, shame‑free probabilistic guesses produced by prediction‑trained models. This linguistic shift highlights that errors are a rational consequence of training and evaluation regimes, not mysterious pathology. — If adopted, the reframing would shift policy, product design, and media narratives away from blaming opaque 'failure modes' and toward incentive, evaluation, and interface changes to manage probabilistic output and user expectations.

Sources

Shameless Guesses, Not Hallucinations
Scott Alexander 2026.03.16 100% relevant
The author’s core example and training primer: models predict next tokens and 'guess' without shame, so calling false outputs 'hallucinations' misleads — quote: 'AIs have no shame. Their entire training process is based on guessing (the polite term is “prediction”).'
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