something that looks a little bit better okay and try to fool it but of course I don't want to fool just this particular G I want to fool a the best possible D so this is where we get this whole minimax formulation where you want to have the best D and then minimize the the G to - to do the best of that okay so one way to think about it is that now this D you can think of it as a loss function it's kind of like l1 or l2 it basically tells what you need to do how do you optimize G such that it gets closer and closer to the goal the only