“This very simple idea: can you have someone making something with a generative model, putting it out there, but then taking advantage of the fact that the feedback they get? “Oh, that was good, that was bad.” That feedback that we get, the artist can learn from that in one way, but maybe the machine-learning model can learn from it as well, and say, “Oh, I see, here are all the people and here’s what they think of what I’m doing, and I have these parameters.” And we can set those parameters vis-à-vis the feedback, using reinforcement learning, and we’re working on that, too.”