But I think that with deep learning, there is now a real opportunity to make a kickass visualizer. Take a GAN and set the latent vector according to the DFT of the audio stream -- it would be super trippy. You could even use WaveNet and CLIP to make the visuals match the lyrics.
I had a lot of fun listening to music in winamp when I was younger with milkdrop. But I think my tastes have changed now to where I prefer visualizations with more concrete imagery and variety instead of the usual variations of abstract effects (they are still dope as hell though).
I tried to design this app with that in mind, but I definitely see why some people don't find them this style of visualization to be interesting. Maybe someday someone will put some serious effort into bringing the demoscene-style visualizations into the modern era?
Alas progression in tech can't be taken for granted.
Even had a few folks contribute a couple of neat visualizations[1] :)
PS: Visualizations were unfortunately deprecated on Macs since like 1.5.0 because of the incredible difficulty of getting the audio stream data. Pretty sure there's no way of doing it these days outside of a kext.
[1] https://github.com/dvx/lofi/tree/master/src/visualizations
https://marumari.itch.io/metagroove
https://www.reddit.com/r/WeAreTheMusicMakers/comments/jqda6f...