AI Image Models Face Ouroboros Effect: Training on Each Other Spreads Artifacts

mallow610 · x · 2026-08-09

Users have noticed that the infamous noise artifact issue from GPT-Image-2 has now appeared in Grok Image 2.0. This isn't due to shared underlying technology, but rather because modern AI image models are increasingly training on each other's outputs. This 'ouroboros-style' data feeding loop is causing model defects to cross-contaminate.

Related event: Grok Imagine 2 Repeats GPT Noise Artifacts, Distillation Raises Homogenization Concerns(6 posts)→

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