>> People simply want to listen to music created by people, even if AI music were perfect. Only in commercial applications like stock music or jingles is AI com

>> People simply want to listen to music created by people, even if AI music were perfect. Only in commercial applications like stock music or jingles is AI composition in demand. I understand that you can move the goalposts With new tech, especially automation, moving goalposts isn't cheating. If successful, it almost always gets used in totally different ways than the human equivalent. A common pattern is imagining automation through "robots," like in the jetsons. An automated hotel has a robot desk clerk, robot maid, etc. IRL, an automated hotel may have no check in, rooms designed to be self cleaning and guests must make their own bed. Maybe it's not even a hotel anymore, but a room or pod here and there. Robotic maids act as a stand in, for things that are hard to imagine. >> AI to create tools that musicians want? So... this is a good compass for advanced stages, "productizing." Describe your goals in terms of what it can do for users. For earlier, research oriented stages, the more abstract definition is good. Composition works for that: Music composition (or generation) is the process of creating or writing a new piece of music, defined as a succession of pitches or rhythms, or both, in some definite patterns. How that is ultimately used/sold/productized is certainly up for debate, but that definition sends you on a path that's different from "tools for musicians."