It applies pretty dang well. The first image generator I remember was literally titled Deep Dream. As far as I can tell, the architecture being used for this st

It applies pretty dang well. The first image generator I remember was literally titled Deep Dream. As far as I can tell, the architecture being used for this stuff doesn't allow for self-reflection or focused learning. All training examples go into a global melting pot, there's no history or "story". It's becoming pretty apparent that deep-learning is equivalent to what people do. Get a bunch of examples, practice a lot, and skills become automatic and pop out of the subconscious on demand. Human magic is in building a library of these skills and choosing what to use when. Getting to general intelligence is going to require generalizing specific intelligence. Doesn't matter how much compute you throw at it, the system needs to be situated in time and capable of linking events together. It might be as simple as chaining current goals together and applying them internally. "Create memory from image", "find memories that match input", "draw output from memories". Maybe that's what midjourney is doing...