In this project, we address hyper-personalized consumption practices driven by algorithm suggestion logics used in music streaming platforms, which follow commercially-oriented formulas based on genre clustering inducing manufactured demand. We propose the development of a generative neural audio system that exposes the homogenizing effects recurrent algorithmic strategies have on the aesthetics of music.
