Model Collapse: What Happens When AI Trains on AI-Generated Data
SMRTR summary
When AI models repeatedly train on AI-generated data, their outputs gradually lose diversity and creativity. By generation 10, rare and unique content loses 97% of its probability mass. With an estimated 15-30% of public English text already AI-generated, the only real fix is anchoring training data to human-written content.
SMRTR provides this summary for quick context. The original article belongs to GitConnected.
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