The Wrong Debate
The entire AI music debate assumes it is about songs. Both sides, AI companies and the music industry alike, are negotiating within a category that is already being outgrown. The more consequential future of sound lies elsewhere.
The entire AI music debate assumes it is about songs. Both sides, AI companies and the music industry alike, are negotiating within a category that is already being outgrown. The more consequential future of sound lies elsewhere.
Upload platforms make decisions — about what counts as music, who owns it, whether it is human. Most chose not to. CORPUS built the infrastructure for choosing differently.
Originality feels self-evident until examined. It is central to art, value, and legal protection, yet collapses quickly under scrutiny. Anyone who has seriously practiced or studied art knows how fragile the concept really is.
Copyright law was never designed to govern learning. As machine learning turns learning into a transferable, economically relevant process, a conceptual gap becomes visible. This essay examines that gap and asks what legal thinking is required once learning is no longer solely human.
The idea that AI-generated music contains a traceable ‘DNA’ of individual training songs is a misconception. Similarity in the output is not proof of origin, but coincidence. Generative models work because millions of inputs dissolve into abstract structures.