A lot of these papers are wrong. They do something wrong in their setup and then claim their conclusion shows show general truth. Publishing in nature in ML can actually be a red flag, because they're really not well equipped to evaluate a lot of claims. The latest llama model got a lot of its data using labels from llama2, and every frontier lab is talking about self training as the future.
AI models collapse when trained on recursively generated data
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Re: AI models collapse when trained on recursively generated data
#22Meanwhile OpenAI, Anthropics, trains on AI generated data to improve their models, and it works. https://openai.com/index/prover-verifier-games-improve-legib... https://www.anthropic.com/research/claude-character
If you think about evolution and hill climbing, of course it works.
You have a pool of information and you accumulate new rearrangements of that information. Fitness selects for the best features within the new pool of data (For primates, opposable thumbs. For AI art, hands that aren't deformed.) It will naturally drift to better optima.
RLHF, synthetic data, and enrichment are all we need.
Re: AI models collapse when trained on recursively generated data
#23The key word there is "indiscriminate". All of the big AI labs have been training on synthetic data for at least a year at this point, but they're doing so deliberately.
I don't think the "model collapse" problem is particularly important these days. The people training models seem to have that well under control.
Re: AI models collapse when trained on recursively generated data
#24Meanwhile OpenAI, Anthropics, trains on AI generated data to improve their models, and it works. https://openai.com/index/prover-verifier-games-improve-legib... https://www.anthropic.com/research/claude-character
It is very different to generate synthetic datasets to assist in targeted training , vs ingesting LLM output from web scraping.
Re: AI models collapse when trained on recursively generated data
#25Seems analogous to the effect of echo chambers on humans
Or navel-gazing. In fact, that's one of the classically known flaws. (So well known that it has many names: ivory tower, navel gazing, getting stuck in your own head...) If you don't compare your thoughts to the outside world, it's easy for them to diverge more and more from reality.
Re: AI models collapse when trained on recursively generated data
#26Back when I was getting my econ degree, we were taught about the Ultimatum game, which goes like this: You get two participants who don't know each other and will (ostensibly) never see each other again. You give one of them $100, and they make an offer of some portion of it to the other. If the other accepts, both parties keep their portion - so, if A offers B $20, and B accepts, A keeps $80 and B keeps $20, if B re…
Like there are a ton of people who smirk at your last paragraph and go "nuh uh, hashtag late stage capitalism"
Re: AI models collapse when trained on recursively generated data
#27I copied that into a Gist to make it easier to browse here: https://gist.github.com/simonw/b3ab1588a681dda821da9fb57290d...
Re: AI models collapse when trained on recursively generated data
#28Meanwhile OpenAI, Anthropics, trains on AI generated data to improve their models, and it works. https://openai.com/index/prover-verifier-games-improve-legib... https://www.anthropic.com/research/claude-character
I'm long on synthetic data. If you think about evolution and hill climbing, of course it works. You have a pool of information and you accumulate new rearrangements of that information. Fitness selects for the best features within the new pool of data (For primates, opposable thumbs. For AI art, hands that aren't deformed.) It will naturally drift to better optima. RLHF, synthetic data, and enrichment are all we need…
Re: AI models collapse when trained on recursively generated data
#29This seems extremely interesting, but I don't have the time right now to read this in depth (given I would also need to teach myself a bunch of technical concepts too). Anyone willing to weigh in with a theoretical intuition ? The one in the paper is just a little inaccessible to me right now.