gets to see a training example directly it only gets to see the gradients coming from the discriminator so the discriminator would need to perfectly memorize a training example and then communicate it into the generator via the gradient another thing is because we have this problem with fitting games finding the equilibria like like people are analyzing in the exercise right now we just we tend to under fit rather than over fit we I'd be really quite happy if we started to overfit consistently but it's it's actually pretty difficult to