The Ouroboros Problem: When AI Trains on AI and Your Real Data Gets Buried

Automated excerpt

They demonstrated mathematically and empirically that when AI models are trained on data generated by other AI models — instead of real human-generated data — the models degrade. The synthetic data pipeline launders real data through a generative model while claiming privacy protection. Model collapse is the long-term entropy problem for AI training data.

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