Plugging prompts into artificial intelligence, or AI, models, on the other hand, feels more like playing the slots, robbing the creator of a process that stretches the imagination. Writing one’s own code feels like any other art-making process: full of uncertainty and trial and error, as the artist gropes around for a method that will produce the desired results. For an upcoming piece, however, I wanted to explore text- and image-generating software like OpenAI’s GPT-3, Dall-E, and Midjourney. In my theater works to date-a combination of algorithmic art and performance-I’ve collaborated with programmers to design and write the code that generates each evening’s show. I’ve experienced this difference firsthand. He explained that it is “the inclusion of one’s own algorithms that make the difference.” Algorithmic artist Roman Verostko, a member of this early group, drew a contrast between the process that an artist develops to create an algorithm and the process through which the art maker uses an already developed set of instructions to generate an output. That generation learned how to code by reading a phone book-sized manual and committed themselves to programming. In the mid-1960s, artists started using computers to expand the possibilities of visual art, music, and poetry.
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