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Not sure why he lost. He could have claimed to run it through an AI that was only trained on the one picture.
“I will give a picture, you will create an exact copy, accurate pixel to pixel to the one I give you”.
He got disqualified on purpose in order to make a point
you don’t even need to train anything, just run it through on a super low blur and almost nothing will change.
To train a diffusion model that only outputs one image with difference is I think not possible you could do an image to image and then fix the seed so you would get a consistent result and then picking the nearest result that is nearly an identical copy
It very much is possible. It’ll only ever output that one image and it’s a huge waste of resources but it’s very much possible.
It’s very much possible and indeed such a problem that it may be done by mistake if a large enough data set isn’t used (see overfitting). A model trained to output just this one image will learn to do so and over time it should learn to do it with 100% accuracy. The model would simply learn to ignore whatever arbitrary inputs you’ve given it
That probably doesn’t count as “AI” do… It’s more a very bad form of compression (that may very well make the image file larger)
kek
