{"id":3832,"date":"2023-02-15T22:02:54","date_gmt":"2023-02-15T22:02:54","guid":{"rendered":"https:\/\/nft.runfyers.com\/index.php\/2023\/02\/15\/how-ai-is-already-making-physical-art-makersplace-magazine\/"},"modified":"2023-02-15T22:02:54","modified_gmt":"2023-02-15T22:02:54","slug":"how-ai-is-already-making-physical-art-makersplace-magazine","status":"publish","type":"post","link":"https:\/\/nft.runfyers.com\/index.php\/2023\/02\/15\/how-ai-is-already-making-physical-art-makersplace-magazine\/","title":{"rendered":"How AI is Already Making Physical Art | MakersPlace Magazine"},"content":{"rendered":"

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If you\u2019re on board with Walter Benjamin\u2019s assertion<\/a> that the mass reproduction of art destroys an aura it might have had, then boy, have we got the blog post for you.\u00a0<\/p>\n

While GANs and algorithmic generative art have been around for a long time, the hot new diffusion models have yet to really make a splash into the physical world. Below, we\u2019ve logged every example we could find of an artist bringing unique art into the real world with the help of computer intelligence.\u00a0<\/p>\n

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Pindar van Arman<\/h2>\n

Pindar van Arman<\/a> is one of the earliest practitioners of AI art and perhaps the first to involve robotics. His most recent work uses \u201cdeep learning neural networks, artificial intelligence, feedback loops, and computational creativity to make a surprising amount of independent aesthetic decisions.\u201d<\/p>\n