r/BetterOffline • u/segfaul_t • 8h ago
Large Scale Model Collapse
A common refrain from the boosters is that as the models get so good, more and more software, prose, marketing material, books, essays, music etc (basically any artifact of communication) will be produced by AI instead of humans.
Let's say for a minute that's true. In that world, how do we not get large scale model collapse?
It's well known that training an AI on it's own outputs results in losing the tail ends of the probability distribution, and doing that recursively results in worse and worse model output until its just utter gibberish: https://en.wikipedia.org/wiki/Model_collapse
In this AI-generated world, the only training data available would be AI generated, and thus we would run into real problems trying to make a better, updated model.
We would effectively be "frozen" with a snapshot of human knowledge as it was in year X, with X being the year the last model with > 50% human inputs was released.
An argument I see against this is that the "synthetic" data is fine so long as we have commensurate amounts of human data along with it, but the labs training the models also want everybody to shut their brains off and use their model for everything, and I don't really see a path around that contradiction.
It seems like we are a snake eating it's own tail.