I got into AI music back in 2017, kind of sparked by AlphaGo. Started by looking at machine listening stuff, like Nick Collins' work. Always been really curious

I got into AI music back in 2017, kind of sparked by AlphaGo. Started by looking at machine listening stuff, like Nick Collins' work. Always been really curious about AI doing music live coding. In 2019, I built this thing called RaveForce [github.com/chaosprint/RaveForce]. It was a fun project. Back then, GANsynth was a big deal, looked amazing. But the sound quality… felt a bit lossy, you know? And MIDI generation, well, didn't really feel like "music generation" to me. Now, I'm thinking about these things differently. Maybe the sound quality thing is like MP3 at first, then it becomes "good enough" – like a "retina moment" for audio? Diffusion models seem to be pushing this idea too. And MIDI, if used the right way, could be a really powerful tool. Vocals synthesis and conversion are super cool. Feels like plugins, but next level. Really useful. But what I really want to see is AI understanding music from the ground up. Like, a robot learning how synth parameters work. Then we can do 8bit music like the DRL breakthrough. Not just training on tons of copyrighted music, making variations, and selling it, which is very cheap.