AI Image Models Face 'Ouroboros' Effect: Training on Each Other's Outputs Spreads Artifacts
oran_ge · x · 2026-08-09
Users have observed that distinct image models like GPT-Image-2 and Grok Image 2.0 are exhibiting the exact same 'noise artifact' flaws. This isn't due to shared underlying tech, but rather because they are increasingly trained on AI-generated outputs from each other, creating an 'ouroboros' style loop that propagates specific errors.
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