Based!
this post was submitted on 28 Jun 2024
398 points (100.0% liked)
196
16501 readers
2618 users here now
Be sure to follow the rule before you head out.
Rule: You must post before you leave.
founded 1 year ago
MODERATORS
Not sure why he lost. He could have claimed to run it through an AI that was only trained on the one picture.
He got disqualified on purpose in order to make a point
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)
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'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
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.
“I will give a picture, you will create an exact copy, accurate pixel to pixel to the one I give you”.
you don't even need to train anything, just run it through on a super low blur and almost nothing will change.
kek