Adjusting weights based on viewing data also describes a JPEG file, if you squint. "I didn't copy a picture, I merely adjusted cosine transform weights after vi

Adjusting weights based on viewing data also describes a JPEG file, if you squint. "I didn't copy a picture, I merely adjusted cosine transform weights after viewing it." Since you asked for someone to explain: IMO you're focusing on a mechanistic explanation of how ML happens, but if you take only a step back, the resulting models are really similar to a compressed blob of the training data. At times they regurgitate the training data almost exactly. This is what most people are seeing and (IMO, rightly) calling out as blatant infringement. Slightly different topic: I think calling it "learning" is brilliant PR, but if you survey AI experts, they'll mostly agree it's not learning in the same way a human brain learns. You and I get more legal leeway than a computer, and it'll be interesting how that works out if/when AGI becomes a thing, but we're nowhere near there yet.