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this post was submitted on 05 Dec 2023
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Technology
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It's not that impressive, they're just generating ChatGPT prompts then feeding those into Stable Diffusion. It's like peak AI grifting.
They're hiding it behind academic language, but when you actually know how the underlying tech works, that's what they're doing.
Could you explain why this is a grift? The produced images in the example look scarily close to the original, whatever method they use to go from brainwaves -> image.
Because predictive texting and stable diffusion are both EXTREMELY easy to fudge data for. If you've ever used either you'll realize it's extremely hard to get it to do what you want and extremely easy to get it to do what it wants. All those high quality art renders you see are always texas sharpshoots where they try a bunch of random crap to see what looks good then say "Look at what it can do!" when it does.
But where exactly is the "fudging" happening?
This sounds pretty straightforward. Even if the methods involve "fudging" and "throwing random crap at the wall", what matters in the end is the accuracy of the results, as long as there's no human-in-the-middle tweaking anything during each prediction.
Today's not a good day for me so i'm not going to argue this any more, sorry.