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neuroai
Importance:

Hallucination

Also known as: AI hallucination, model hallucination, hallucination

When a model states something fluent, confident, and false — the failure mode that makes ungrounded AI dangerous in serious work.

Hallucination

A hallucination is a model producing something that sounds authoritative but isn’t true, because its objective is plausibility, not accuracy. The danger isn’t that it’s wrong — it’s that it’s wrong in the same confident voice it uses when it’s right.

This is the single risk I design hardest against. Grounding with retrieval, citing sources, and evaluating for it are how you keep a fluent system honest enough to put in front of someone making a real decision.