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From the article:
Simply wanting such a thing to exist isn't going to magically make it happen. I seriously doubt that any such "watermark" (I think they meant "fingerprint" since it'd need to work even if not deliberately added) can be found.
I suspect the actual solution is to curate the quality of the input data, regardless of whether it's AI-generated or not. The problem of autophagy is the loss of rare inputs, so try to ensure those inputs are found and included in the input data. It's probably fine to have some AI generated content in the training data in addition to the real stuff. Indeed, as long as the AI-generated content is subject to the same sort of selective pressure as the real content it's probably good to have.
We'd need to test and see if AI-generated content that is curated by human quality assurance still causes MADness.
My suspicion is that would only slow down the degradation of the outputs, rather than stop it completely.
I wasn't proposing only using curated AI-generated content. If the problem is the loss of "rare data" from the edges, then adding some AI-generated data to a data set that still includes that rare data shouldn't be a problem.
The article doesn't say that AI-generated data is somehow "infectious", just that the data set becomes more and more limited with each cycle since rare information gets lost each time.