Model collapse

Not to be confused with Mode collapse or Modal collapse.
For the speculated economic bubble, see AI bubble.

Model collapse is a phenomenon noted in artificial intelligence studies, where machine learning models gradually degrade due to errors coming from uncurated synthetic data, or training on the outputs of another model, such as prior versions of itself. It is unclear to what extent the phenomenon threatens the long-term development of such models, and some techniques have been proposed to mitigate the effect.


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