This is a good thread, but as someone who has worked with deep learning, I& #39;ll offer a gentle critique: both the problem of reproducing training data exactly, and the problem of not being able to go outside that box have been worked on. Those solutions just aren& #39;t used everywhere. https://twitter.com/eevee/status/1298932940697550848">https://twitter.com/eevee/sta...

Of course, the solutions to those issues aren& #39;t perfect or easy to apply either... But a GAN with careful training should be able to do better than this. The problem lies with the designer here, but of course the ease of misuse is also a problem with the algorithm itself.

More broadly speaking, the culture of tech surrounding AI is abysmal in many ways. At the same time, as someone who does even-less-"real"-AI work, I think the claim that NNs aren& #39;t "real" AI isn& #39;t that useful, but only because nothing is.

Let me repeat however: this thread is good and important, and my critiques are mostly nit-picking and are mostly only relevant to a technical audience.