Have always wondered where creativity came from and how it worked. Dissecting my own artistic process and teaching it to painting robots is my attempt at a better understanding. When I began with my first machines fifteen years ago, they were only capable of the simplest tasks, like connecting dots and painting by numbers. My most recent robots, however, use deep learning neural networks, artificial intelligence, feedback loops and computational creativity to make a surprising amount of independent aesthetic decisions.
They have grown beyond being simple assistants and are now effectively augmenting my own creativity. They have become a generative AI art system so sophisticated, that it has forced me to consider the possibility that all art is generative.