“Our primary conclusion across all scenarios is that without enough fresh real data in each generation of an autophagous loop, future generative models are doomed to have their quality (precision) or diversity (recall) progressively decrease,” they added. “We term this condition Model Autophagy Disorder (MAD).”
Interestingly, this might be a more challenging problem as we increase the use of generative AI models online.
So we have generation loss instead of AI making better AI. At least for now. That’s strangely comforting.
The summary said:
So as long as you’re mixing enough fresh data in you should be fine.