Again, the point isn't that there's nothing left to learn. There's plenty to learn, and plenty to explore, and the whole field of applying computational methods

Again, the point isn't that there's nothing left to learn. There's plenty to learn, and plenty to explore, and the whole field of applying computational methods of all sorts to music is a treasure trove waiting to be explored. What I'm saying is that the situation with Go was completely different. The Go community was utterly convinced that the state of the art was within a couple stones of the hand of god, and Alpha Go thoroughly disabused them of that notion. The status quo was completely shattered, and the community's understanding of the game as a whole was completely upended. It's entirely fair to describe the situation as "and then AlphaGo appeared and dismissed all this" The situation in music is very different. Ethnomusicology has been a thing since the mid-20th century, and musicology in general has swung away from prescriptivism and more towards descriptivism. There can be no earth-shattering revelations here, not because our current understanding of music is unassailable, but simply because there is no earth to shatter to begin with. AI-drive computational music might produce some innovative work around how we understand pitch and tunings, but that work won't dismiss our current understanding of those things, it'll sit alongside it. Ok, this is fairly long winded, but the point is that I take issue with the "dismiss" part of it all, I guess.