The study, based on ethnographic research in Melbourne, Australia, explores how music technologists, including researchers, developers, and artists, perceive the role of mistakes and glitches in their work. Traditionally, AI systems are designed to minimize errors and optimize outputs, yet the findings suggest that many musicians and technologists embrace mistakes as catalysts for creativity.
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