#machineCROON • 6 implied HN points • 13 Dec 25
- AI music tools have evolved from slow, raw, and wildly creative models that produced messy but interesting sounds to faster, more polished apps that are easier to use but less likely to hit that chaotic magic.
- Making music with these systems is a hands-on, iterative craft—seed, prompt, generate, edit, listen— and that process can make a creator feel like the voice even while the model borrows heavily from existing artists.
- Combining classical seeds and narrative prompts with AI can yield new concept works and powerful stories, but it also raises real questions about authorship and theft, so responsible attribution and effort matter if the work is to be more than mere plagiarism.