Do neural networks listen to simulated rock bands? Algorithms have dictated what we see and hear for years already; they've only recently become able to reproduce their own semblances of it. With the advent of adversarial learning, digital simulacra have become more and more eerily convincing and in the last year the tools for fully AI-created images have rapidly evolved, allowing more and more generative artists to explore the form. But with algorithms already warping artistic production through the feedback loops of streaming and social media, what may come of vertically-integrating algorithmic distribution with its own ability to create? Or, in the deeper exploration of machine-generated art -- the interest of which comes as much from its mystifying errors and omissions as from success -- will the necessity of the guiding human hand become only more obvious?