alt Hacker NewsFrom what I understand model collapse/GIGO are not a problem in that labs generally know where the data comes from, so even if it causes problem in the long run you could filter it out. It's not like labs are forced to train models on the user outputs.
Indeed they are not forced to train them on user outputs, but the author of the article seems to have found good evidence that they are actually doing that, and will need more expert data-tagging/filtering on the inputs to regain their previous performance