AI models collapse when trained on recursively generated data
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Re: AI models collapse when trained on recursively generated data
#2Re: AI models collapse when trained on recursively generated data
#3Re: AI models collapse when trained on recursively generated data
#4The "tragedy of the commons" is another one of those parts of standard economic theory that never actually played out in reality - we've got examples from all over the world of communities implementing practices and often entire belief systems that led them to be responsible stewards of shared resources without requiring unilateral ownership of that resource and singular acquisition of the benefits of that stewardship, and yet first on the lips of every modern capitalist when describing why they're at a disadvantage if they're not the ones polluting the water supply is the tragedy of the commons.
Re: AI models collapse when trained on recursively generated data
#5Re: AI models collapse when trained on recursively generated data
#6Which is good background to this story about Reddit locking down robots.txt and trying to get money from the AI teams scraping their content. https://news.ycombinator.com/item?id=41057033
Re: AI models collapse when trained on recursively generated data
#7Anyone willing to weigh in with a theoretical intuition? The one in the paper is just a little inaccessible to me right now.
Re: AI models collapse when trained on recursively generated data
#8Re: AI models collapse when trained on recursively generated data
#9Publishing 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.
Re: AI models collapse when trained on recursively generated data
#10Seems analogous to the effect of echo chambers on humans
If you don't compare your thoughts to the outside world, it's easy for them to diverge more and more from reality.