Nature 2024: Repeated Training on AI Output Causes 'Model Collapse'
CurieuxExplorer · x · 2026-10-13
Citing a 2024 Nature study, the author explains that repeatedly training models on AI-generated outputs without adequately preserving real data leads to 'model collapse': rare patterns disappear, errors accumulate, diversity suffers.
Does mass-generating disaster and battle videos amount to training AI on destruction? Not automatically — but if synthetic content enters future datasets, it will shape what future models learn.
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