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lessthanluigi ,

Based!

owenfromcanada ,
@owenfromcanada@lemmy.world avatar

Not sure why he lost. He could have claimed to run it through an AI that was only trained on the one picture.

Daxtron2 ,

you don't even need to train anything, just run it through on a super low blur and almost nothing will change.

LazaroFilm ,
@LazaroFilm@lemmy.world avatar

“I will give a picture, you will create an exact copy, accurate pixel to pixel to the one I give you”.

Mixel ,

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

themoonisacheese ,
@themoonisacheese@sh.itjust.works avatar

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.

Hjalamanger ,
@Hjalamanger@feddit.nu avatar

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

Hjalamanger ,
@Hjalamanger@feddit.nu avatar

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)

MindTraveller ,

He got disqualified on purpose in order to make a point

jabathekek ,
@jabathekek@sopuli.xyz avatar

kek

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