In a bold exploration of computational creativity and conceptual art, we challenged a large language model to generate an ever-evolving series of instructional art pieces. Inspired by the pioneering works of Fluxus, Yoko Ono, Sol LeWitt, John Baldessari, Lawrence Weiner, Miranda July, Robert Morris, George Brecht, Allan Kaprow, Erwin Wurm, and Lygia Clark, this project pushes the boundaries of artistic expression, reimagining the instructional art movement through the lens of artificial intelligence.
Example from generative-instructions.com"Generative Instructions 2024" exists at the intersection of human creativity and machine learning. Each instruction set is uniquely generated, creating an infinite stream of possibilities for performance, interpretation, and execution. The project challenges our understanding of authorship, artistic intent, and the evolving role of AI in creative processes.
Trained on the distinctive styles and methodologies of influential instructional artists, the AI learns to generate new pieces that honor these traditions while also producing something entirely original. This hybrid form of creativity questions the boundaries between human and machine-generated art, offering fresh perspectives on both.
"Generative Instructions 2024" has manifested in several forms:







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