this post was submitted on 24 Jul 2024
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249
AI models collapse when trained on recursively generated data (www.nature.com)
submitted 3 months ago by [email protected] to c/[email protected]
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[–] [email protected] 58 points 3 months ago* (last edited 3 months ago) (2 children)

This has been obvious for a while to those of us using GitHub Copilot for programming. Start a function, and then just keep hitting tab to let it autotype based on what it already wrote. It quickly devolves into strange and random bullshit. You gotta babysit it.

[–] [email protected] 13 points 3 months ago (1 children)

very unlikely to stem from model collapse. why would they use a worse model? it's probably because they neutered it or gave it less resources.

[–] [email protected] 11 points 3 months ago* (last edited 3 months ago) (1 children)

It learns from your own code as you type so it can offer more relevant suggestions unlike the web-based LLMs. So you can make it feed back on itself.

[–] [email protected] 11 points 3 months ago

Where did you learn to write such shitty code?

I learned it from watching you!

[–] [email protected] 9 points 3 months ago (1 children)

Same thing with Stable Diffusion if you've ever used a generated image as an input and repeated the same prompt. You basically get a deep-fried copy.

[–] [email protected] 3 points 3 months ago (1 children)

img2img is not "training" the model. Completely different process.

[–] [email protected] 1 points 3 months ago

Oh yeah, you're right. It's both degradation in some way, but through entirely different causes.