this post was submitted on 26 Jul 2023
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How can they prove that not some abstract public data has been used to train algorithms, but their particular intellectual property?
Personally speaking, I've generated some stupid images like different cities covered in baked beans and have had crude watermarks generate with them where they were decipherable enough that I could find some of the source images used to train the ai. When it comes to photo realistic image generation, if all the ai does is mildly tweak the watermark then it's not too hard to trace back.
All but a very small few generative AI programs use completely destructive methods to create their models. There is no way to recover the training images outside of infantesimally small random chance.
What you are seeing is the AI recognising that images of the sort you are asking for generally include watermarks, and creating one of its own.
Do you have examples? It should only happen in case of overfitting, i.e. too many identical image for the same subject
Here's one I generated and an image from the photographer. Prompt was Charleston SC covered in baked beans lol
Out of curiosity what model did you use?