We already have plenty of machines that draw, they're called printers. That aside, I don't see the novelty in a machine drawing, other than a nice display of programing.
Classification is the central paradigm in machine learning. It maps complex input signals into a limited number of classes. But now we have algorithms that do the opposite process as well - we can generate from latent representations images, video, text and drawings.
Having both ways to encode and decode is useful for interfacing with models and visualizing their internal states. It also leads to unsupervised learning of representations. Instead of generating simple labels, now we can generate very complex data.
