Your text is funny and surprisingly well suited for the song and the singer. Personally I very much like the possibility to generate great music with algorithms. I followed the developments for more than thirty years and did even a master thesis about an expert system which improvises music in the nineties, but only since this year we have AI good enough to generate convincing music. There were even recent scientific studies which found that essentially no one can distinguish AI from human music with certainty anymore (people had to select one AI out of three songs and only 3% got it right!). Nevertheless, there are still many people who dislike AI music; however, this is largely emotional and not objectively justifiable, even more that they very likely wouldn't notice the difference.
I completely agree with you on Suno’s “musicality over fidelity” profile. What surprised me most was how well it adapted to lyrics I wrote without any melody guidance. I didn’t prompt it with line breaks, rhythm, or phrasing; it just grabbed the vibe and built a whole arrangement around it.
I’ll check out the model you linked, I haven’t experimented much outside Suno yet. I’m curious how far fidelity can be pushed while still keeping that kind of intention-aware musical structure.
I can definitely imagine this becoming part of a normal songwriting workflow: not AI music as the finished product, but as a way to sketch ideas or generate demo material much faster.
I would also be very interested to know why and how this works. I usually upload the audio of my songs, and it immediately gets everything including harmonies, structure, melodies and lyrics, just amazing.
> not AI music as the finished product
I'm even amazed by music fully generated by AI (even when based on uploaded audio); with a bit of tweaking amazingly interesing music can be generated (see e.g. https://rochus-keller.ch/?p=1428).