[paggle]

It's not about creating information in the information-theoretic sense. It's that nobody knows how neural networks work. So even if, say, all of the knowledge to recognize that this is a screwdriver is present in the 3D model, it's not like we know how to train a neural network to detect those features from a 2D camera image. So we just generate a gazillion 2D images in various rotations and lighting conditions and let the neural network use its black magic. With no "backchannel" into the "brains" of the neural network, we can't tell it to recognize black people's emotions the same way it recognizes white people's emotions. So if we don't have enough black people in our training set, we build a way to simulate an image of a black person and hammer it into the neural network's brainstem.