Training new AI models on data generated by older AI models is becoming a trap. As the public internet fills with machine-generated text, labs that don't verify their synthetic data run straight into model collapse. When a model trains on unverified synthetic data, hallucinations compound, edge cases disappear, and the system gradually degenerates into bland mimicry. It's the digital equivalent of making a photocopy of a photocopy over and over again. Many teams assume they can bypass data…