AI Can Recreate Images From Human Brain Waves With 'Over 75% Accuracy'
AI Can Recreate Images From Human Brain Waves With 'Over 75% Accuracy'
And the images were recreated solely from brain waves.
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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?
the subjects were shown an image different from the 1,200, and their brain activity was measured under the fMRI 30 minutes to an hour later while asked to imagine what kind of image they had seen. Inputting the records, the neural signal translator then created score charts. The charts were input into another generative AI program in order to reconstruct the image, undergoing a 500-step revision process.
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.