Inspiração em branco
o problema da representação em IA musical entre a plataformização, o extrativismo e o trabalho fantasma
DOI:
https://doi.org/10.33871/19805071.2026.34.1.11814Palabras clave:
IA e música, Representação musical, Extrativismo de dados, Trabalho fantasma, PlataformizaçãoResumen
Este artigo investiga a produção algorítmica de música sob a regra industrial da plataformização corporativa — o que o mercado comercializa como inovação democrática, mas que opera como fortaleza algorítmica (AIaaS, IA extrativista) —, a partir de uma perspectiva crítica que articula três quadros teóricos. Primeiro, a análise musicológica de Christopher W. White demonstra como a lógica probabilística da tokenização e o viés do proximal inviabilizam a geração de música como ato de intencionalidade corporificada, onde a escuta se faz gesto e a forma se faz evento — aquilo que a escuta humana reconhece como Gestalt vivida, irredutível à correlação estatística. Segundo, os Estudos Críticos do Código de Mark C. Marino permitem investigar arquiteturas de geração trancadas sob regimes de opacidade proprietária, através de uma "arqueologia do indisponível". Por fim, articula-se a ontologia da técnica de Giorgio Agamben para demonstrar que o problema fulcral não reside apenas na economia da extração de dados, mas na transformação ontológica da música de uso (uti, prática encarnada de um vivente) em função (fungi, operação autônoma de um dispositivo). Contra essa lógica industrial, o texto contrapõe o modelo de autoria distribuída — praticado em contextos experimentais fora da lógica corporativa, onde o compositor atua como arquiteto de possibilidades — à "desativação da desativação": a restituição da técnica algorítmica à sua dimensão de ethos e forma de vida, recusando a função em favor do uso.
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