This was... really not good. As anyone who's played around with a grid beatmaker, honestly almost anything you put in there kinda sounds good and groovy, yet honestly most of the stuff there felt less good than average, no better than random.
I tried to make it in as many styles as possible. "Crossing The Channel" is a favorite, because the tempo is so unique. I think the GPT made a mistake early on, and then completed the most likely "not-mistake," which caused the piece to have some pretty unique timing.
Maybe someday I'll dig up the model off my old laptop. I thought everyone would be making nice-sounding AI music, but I guess nobody can match a Gwern-trained model. He's the Hattori Hanzo of ML.
Do you or anyone else know which software I'm talking about?
I've been looking for it for quite a long time now, thanks!
https://www.maxlaumeister.com/tonematrix/
Honestly just clicking random squares, adding and removing as you go can great unlimited good sounding patterns.
I looked around a bit on the googles and it helped me remember a French person's name who had lots of similar Flash experiments on their site; apparently that was where TM originally started: http://lab.andre-michelle.com/
I have listened to so much generative music the last 25 years and there was one piano piece that was really good and something that felt like a unique style. Not good enough though that I even remember the name of the piece.
Generative music is really no different than what you get when a human starts noodling around with music making software. It is almost literally the same process.
This model is already common now in systems like Tesla's badly-named "Full-Self Driving" Autopilot, which Tesla itself notes "is a hands-on driver assistance system that is intended to be used only with a fully attentive driver".
Similarly, "AI as creator" mostly leads to uninteresting outcomes. In contrast, "AI as creative assistant" will lead to actually-fascinating advances in the creative arts in the near future. AI will help creators think differently, and in turn, creators will weave good and/or interesting output into coherent, higher-quality pieces.