[mikeshi42]

I agree the cat is out of the bag, but GANs do not work like that. One of the common failure modes in training a GAN is that the discriminator gets too powerful too quickly and the generator then can no longer learn.

Hard to say anything is impossible off of one point - but discrimination afaik is generally seen as the easier problem of the two, given you only need to give a binary output as opposed to a continuous one.