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What happens when AI learns from itself

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Feeding an artificial intelligence its own output is the digital equivalent of making a photocopy of a photocopy. When massive datasets accidentally ingest highly synthetic, AI-generated text, the resulting model suffers from "model collapse." The software effectively poisons itself, losing all nuance and devolving into a repetitive, babbling mess of statistically flattened garbage.

What happens when AI learns from itself
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