> It would be foolish to deny the effectiveness of image recognizers based on generalized adversarial networks (GANs), the key neural network technology underlying LLMs
I could be misreading this, but I hope the author doesn't think GANs are used in LLMs. They are cool, though.
Things that are vaguely GAN-shaped might play some role in post training. Though no one would call them GANs or identify them as the key underlying technology.
He hallucinated. This is how you verify non AI nowadays.
AI is so good that if you see an hallucination as obviously wrong like this one it’s a sign it’s written by a human.
It’s unfortunate - he’s an author, it would have been fine to stick with an authors perspective that LLMs can’t write (which is true), as well as the copyright stuff (which I don’t agree with but he certainly has standing to give an opinion on).
But he’s made the error of trying to come at it from a technical perspective, when he clearly knows nothing about that side of things, which discredits the rest.