After experimenting with how to make sounds from machine vision, I wanted to see if I could create a closed pipeline of sound making by connecting machine vision and machine learning. I was still using Max MSP, and I used cameras and microphones to pick up how people were moving in spaces and what that sounded like. Unfortunately the ML/AI toolkits in Max are very preliminary, so I was struggling with making something that was actually listenable. The things I learned from this, however, would later come in handy when I used similar processes to make the sounds for Ground Truth. I also started to experiment with how radiowaves can interact and distort each other, a more lo-fi version of making sounds from people in a space.