True that ML is good for lossy compression, but it's not "produce a copy of any image with less than a byte average of information" good, like is claimed in the

True that ML is good for lossy compression, but it's not "produce a copy of any image with less than a byte average of information" good, like is claimed in the Joseph Saveri Law Firm lawsuit against Stable Diffusion: > Because a trained diffusion model can produce a copy of any of its Training Images—which could number in the billions—the diffusion model can be considered an alternative way of storing a copy of those images. In essence, it’s similar to having a directory on your computer of billions of JPEG image files.