Música na era do algoritmo: entre a repetição da máquina e a aleatoriedade criativa do “Faça-você-mesmo”

Abstract

This theoretical analysis confronts practices of Circuit-Bending and Hardware Hacking and Do-It-Yourself (DIY) culture with the rise of Generative AI (Gen AI) in music. Drawing on Heidegger’s notion of technology as “enframing” (Gestell), it discusses risks such as authorship crisis, cultural homogenization, and the dehumanization of art, contrasting them with potential democratization and preservation. It links Attali’s historical analysis—which frames music through cycles of sacrifice, representation, and repetition—to current algorithmic trends, epitomized by streaming and playlists. As resistance, it proposes noisy practices (circuit bending, free improvisation) and critical techniques (e.g., Poisonify, which corrupts AI databases), emphasizing randomness as an antidote to stagnation. The conclusion argues that, even under Gen AI’s control logics, DIY strategies and the embrace of unpredictability can reaffirm creative poiesis, reclaiming the human dimension in sound art.