Earlier quoted context omitted.
You should check out "model collapse". It seems that an abundance of content, that is more and more AI generated these days, may not be a viable option. There is also a vast amount of data that is increasingly going private or behind paywalls
People love harping on this one, but model collapse hasn't turned out to be an issue in practice.
I understand that if I have an AI model and then feed it its own responses it will degrade in performance. But that's not what's happening in the wild though - there are extra filtering steps in-between. Users upvote and downvote posts, people post the "best" AI generated content (that they prefer), the more human sounding AI gets more engagement etc. All of these things filter AI output, so it's not the same thing as:
AI out -> AI in
It is:
AI out -> human filter -> AI in
And at that point the human filter starts acting like a fitness function for a genetic algorithm. Can anyone explain how this still leads to model collapse? Does the signal in the synthetic data just overpower the human filter?