Calling the prediction accuracy doesn't seem quite right, but I don't know what term I would use. I created a mobile music notation application that has pretty

Calling the prediction accuracy doesn't seem quite right, but I don't know what term I would use. I created a mobile music notation application that has pretty good accuracy when writing on the score. Some users asked for the ability to predict what might be written next. The first challenge is creating a UI to present the choices, but lets assume that is a solved problem. I trained up models and you can probably guess what happens. It is similar to the demos you have listened to where thirty seconds of on original song are then taken over by AI. Things sound similar and then descend into madness. This is sort of fun but not super useful to a composer. Maybe if you, the composer, had a large corpus used to trained with, the AI could riff on your own ideas. My experiments were with a single instrument and then I tried using the process on multiple instruments. I would consider the end product pretty much useless. Users of music notation software, especially those who are able to write out their compositions using notation, would find this feature pretty aggravating. Cool for bizarre demos, pretty useless for making a living. I do expect to see a lot more activity in this space as we learn more techniques, train bigger models and learn how to keep the AI from going off the rails.