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A clear-eyed, practical guide to AI hallucinations: what they are, why a next-token predictor produces false or unsupported claims, why "just say I don't know" is harder than it sounds, when they're most likely, how to detect one, and how to reduce and work around them.
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AI concepts can be dense. Tell me what's confusing and I'll find a new analogy.