enowning
Saturday, November 25, 2017
 
Artsy has more on Selçuk Artut.
The project has its roots in 2013, when Artut was writing his Ph.D. dissertation on the philosophies of Martin Heidegger, and found himself struggling to get through the philosopher’s difficult 1927 magnum opus, Being and Time. But it wasn’t until this past summer when Artut, who often uses coding as a tool for his artistic practice, took online courses on machine learning and machine intelligence from Stanford University and became inspired to apply the technology to his work. He would, he decided, “teach the machine to think like Heidegger.” To do so, Artut trained a computer with the text from Being and Time. The resulting algorithm formulates Heidegger’s words and ontological paradigms into three-sentence-long statements that sound all too similar to art world gibberish.
 
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