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.

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.