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AI models collapse when trained on recursively generated data (www.nature.com)

submitted 3 months ago by floofloof@lemmy.ca to c/technology@lemmy.world

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[–] SlopppyEngineer@lemmy.world 14 points 3 months ago (2 children)

Eventually an AI will be developed that can learn with much less data. In the end we don't need to read the entire internet to get through our education. But, that's not going to be LLM. No matter how much you tweak LLM models, it won't get there. It's like trying to tune a coal fired steam powered car until you can compete in a formula 1 race.

[–] conciselyverbose@sh.itjust.works 17 points 3 months ago (1 children)

Yeah, it's entirely plausible that LLMs are a small part of the answer as basically the language center of the brain, but the brain is a hell of a lot more complex than that. The language center isn't your whole brain, and is only loosely connected to actual decision making. It confabulates a lot.

[–] SlopppyEngineer@lemmy.world 19 points 3 months ago

OpenAI stumbled on something that worked and ran with it, and people started proclaiming it to be the answer to everything. The same happened with Deep Learning and every AI invention so far. It's all just another stepping stone on the way.

[–] Even_Adder@lemmy.dbzer0.com 15 points 3 months ago

It's already happening. A quote from Andrej Karpathy :

Turns out that LLMs learn a lot better and faster from educational content as well. This is partly because the average Common Crawl article (internet pages) is not of very high value and distracts the training, packing in too much irrelevant information. The average webpage on the internet is so random and terrible it's not even clear how prior LLMs learn anything at all.