In theory, methods like nightshades are supposed to poison the work such that AI systems trained on them will have their performance degraded significantly.
The problem with nightshade or similar tools is, that if you leave the changes it makes at too weak a setting, then it can be pretty easily removed. For example GAN upscalers that pre date modern “AI”, were pretty much built to remove noise or foreign patterns. And if you make the changes strong enough that they can’t be removed by these models (because so much information was lost), then the image looks like shit. Its really difficult to strike a balance here.
Ah yes, pollute the prompt. Nice. Reminds me of how artists are starting to embed data and metadata in their pieces that fuck up AI training data.
And all maps have fake streets in them so you can tell when someone copied it
That’s interesting. Are there examples of this? I’m assuming they’re little one off dead end streets or similar.
Trap street - Wikipedia - https://en.m.wikipedia.org/wiki/Trap_street
Example of an entire fictional town: Agloe, New York - Wikipedia - https://en.m.wikipedia.org/wiki/Agloe,_New_York
Neat. Thank you
It still trains AI. Even adding noise does. Remember captchas?
Metadata… unlikely to do anything.
In theory, methods like nightshades are supposed to poison the work such that AI systems trained on them will have their performance degraded significantly.
If it can be added programatically it can be removed programatically. It’s bullshit.
That’s funny
Hashing enters the chat
Wow, I guess cryptography is just fraudulent, who knew
Read it. I don’t think it will have bigger impact than lossy image compression or noisy raytraced images.
The problem with nightshade or similar tools is, that if you leave the changes it makes at too weak a setting, then it can be pretty easily removed. For example GAN upscalers that pre date modern “AI”, were pretty much built to remove noise or foreign patterns. And if you make the changes strong enough that they can’t be removed by these models (because so much information was lost), then the image looks like shit. Its really difficult to strike a balance here.