this post was submitted on 15 Dec 2025
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Ah, yes, the large limage model.
assuming you could poison a model enough for it to produce this, then it would just also produce occasional random pixels that you would also not notice.
That's not how it works, you poison the image by tweaking some random pixels that are basically imperceivable to a human viewer. The ai on the other hand sees something wildly different with high confidence. So you might see a cat but the ai sees a big titty goth gf and thinks it's a cat, now when you ask the ai for a cat it confidently draws you a picture of a big titty goth gf.
........what if I WANT a big titty goth gf?
Get in line.
Step 1: poison the ai
Ok well I fail to see how that’s a problem.
Good use for my creativity. I might get on this over Christmas.
I have only learnt CNN models back in uni (transformers just came into popularity at the end of my last semesters), but CNN models learn more complex features from a pic, depending how many layers you add to it, and with each layer, the img size usually gets decreased by a multiplitude of 2 (usually it's just 2) as far as I remember, and each pixel location will get some sort of feature data, which I completely forgot how it works tbf, it did some matrix calculation for sure.