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A new tool lets artists add invisible changes to the pixels in their art before they upload it online so that if it’s scraped into an AI training set, it can cause the resulting model to break in chaotic and unpredictable ways.

The tool, called Nightshade, is intended as a way to fight back against AI companies that use artists’ work to train their models without the creator’s permission.
[...]
Zhao’s team also developed Glaze, a tool that allows artists to “mask” their own personal style to prevent it from being scraped by AI companies. It works in a similar way to Nightshade: by changing the pixels of images in subtle ways that are invisible to the human eye but manipulate machine-learning models to interpret the image as something different from what it actually shows.

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[-] MargotRobbie@lemmy.world 319 points 8 months ago

It's made by Ben Zhao? You mean the "anti AI plagerism" UChicago professor who illegally stole GPLv3 code from an open source program called DiffusionBee for his proprietary Glaze software (reddit link), and when pressed, only released the code for the "front end" while still being in violation of GPL?

The Glaze tool that promised to be invisible to the naked eyes, but contained obvious AI generated artifacts? The same Glaze that reddit defeated in like a day after release?

Don't take anything this grifter says seriously, I'm surprised he hasn't been suspended for academic integrity violation yet.

[-] ElectroVagrant@lemmy.world 46 points 8 months ago

Thanks for added background! I haven't been monitoring this area very closely so wasn't aware, but I'd have thought a publication that has been would then be more skeptical and at least mention some of this, particularly highlighting disputes over the efficacy of the Glaze software. Not to mention the others they talked to for the article.

Figures that in a space rife with grifters you'd have ones for each side.

[-] Zeth0s@lemmy.world 26 points 8 months ago* (last edited 8 months ago)

Don't worry, it is normal.

People don't understand AI. Probably all articles I have read on it by mainstream media were somehow wrong. It often feels like reading a political journalist discussing about quantum mechanics.

My rule of thumb is: always assume that the articles on AI are wrong. I know it isn't nice, but that's the sad reality. Society is not ready for AI because too few people understand AI. Even AI creators don't fully understand AI (this is why you often hear about "emergent abilities" of models, it means "we really didn't expect it and we don't understand how this happened")

[-] joel_feila@lemmy.world 0 points 8 months ago

By that logic humanity isnt ready for personal computers since few understand how they work.

[-] Zeth0s@lemmy.world 6 points 8 months ago* (last edited 8 months ago)

Kind of true. Check the law proposals on encryption around the world...

Technology is difficult, most people don't understand it, result is awful laws. AI is even more difficult, because even creators don't fully understand it (see emergent behaviors, i.e. capabilities that no one expected).

Computers luckily are much easier. A random teenager knows how to build one, and what it can do. But you are right, many are not yet ready even for computers

[-] joel_feila@lemmy.world 2 points 8 months ago

I read an article the other day about managers complaining about zoomers not even knowing how type on a keyboard.

[-] GenderNeutralBro@lemmy.sdf.org 3 points 8 months ago

That was certainly true in the 90s. Mainstream journalism on computers back then was absolutely awful. I'd say that only changed in the mid-2000 or 2010s. Even today, tech literacy in journalism is pretty low outside of specialist outlets like, say, Ars.

Today I see the same thing with new tech like AI.

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this post was submitted on 23 Oct 2023
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