Comment by mempko
2 years ago
Read the paper, the problem is each generation forgets information. Starting at the tails of the distribution they learn. No amount of filtering/selecting would help here. People would need to fill in missing information without AI help. If they are just filtering, it does nothing to stop model collapse.
The experiment in the paper is not well designed. They are repeatedly fine tuning the model and replacing the entire data set each time with a noisier version. That's just not how the world works and is literally the most naive approach you could take. They should have attempted to increase the size of the training set using output from the model combined with human editing and input and figured out a good evaluation strategy. That would have at least approached reality and may have produced useful knowledge. The fact still remains that the paper is hopelessly far behind the sota and almost entirely divorced from the processes it intends to make claims about.