Unverified50% confidenceConceptExact time
Generative models cannot produce information beyond their learned parameters; every synthetic generation introduces sampling variance and truncates rare tokens, causing downstream training to accumulate statistical bias, and the recursive loop is essentially a process of information loss.
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50%
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Relevance
10/16/2026
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