PrivateNoob

There are pirated udemy courses on 1337x for example

This sounds good, however the first step should be a 100% working solution without any false positives, because that would mean the reader would wipe their whole system down in this example.

Apparently there are 2 popular scripts.

Glaze: https://glaze.cs.uchicago.edu/downloads.html

Nightshade: https://nightshade.cs.uchicago.edu/downloads.html

Unfortunately neither of them support Linux yet

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.

Fair enough on the technicality issues, but you get my point. I think just some art poisoing could maybe help decrease the image generation quality if the data scientist dudes do not figure out a way to preemptively filter out the poisoned images (which seem possible to accomplish ig) before training CNN, Transformer or other types of image gen AI models.

There are poisoning scripts for images, where some random pixels have totally nonsensical / erratic colors, which we won’t really notice at all, however this would wreck the LLM into shambles.

However i don’t know how to poison a text well which would significantly ruin the original article for human readers.

Ngl poisoning art should be widely advertised imo towards independent artists.