If you think about how humans draw things, there's a repeated process of "create content" to "inspect for issues" back to "create corrections", "inspect for issues" etc. It seems that generation and criticism are two rather distinct skills, which is why GANs, generative-adversarial networks that contain both a "generator" and a "critic" network, end up making fewer mistakes and learning distant correlations better.