ResearchPod Summary
This paper argues that Generative AI should be understood as a continuation of long-standing artistic practices rather than an unprecedented break from history. By tracing a genealogy that includes 18th-century musical dice games, the Bauhaus experiments of László Moholy-Nagy, and the generative music of Brian Eno, the author demonstrates that the core tensions of AI—such as the role of the author, the nature of randomness, and the status of the machine—have deep historical precedents. The paper positions the artist not as a traditional craftsman, but as a systems designer and an entropic agent who curates the possibilities of a machine.
To navigate the generative era, the author introduces a functional taxonomy for generative systems, categorizing them as either media, artworks, or instruments. Crucially, the author notes that this classification is editorial rather than ontological; it depends on how the system is presented and engaged with by humans. This framework leads to the proposal of 'manifestation' as a third ontological status for generative works. Unlike a traditional original or a copy, a manifestation is a unique, ephemeral output generated by a system, effectively bypassing the binary logic that has historically defined art objects.
Drawing on Walter Benjamin’s concept of the 'aura'—the unique presence of a work of art in time and space—the author argues that the aura has not vanished in the age of generative automation. Instead, it has condensed upon the productive system itself. While the individual outputs of an AI model may seem mass-produced or repetitive, the underlying system—the model, the training data, and the human-designed pipeline—retains the weight and significance previously reserved for the singular masterpiece. This shift necessitates a new role for the artist as a 'negentropic curator' who must actively manage the system to prevent 'algorithmic repetition' and ensure meaningful output.
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