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In this episode, Cristina Somcutean joins us to talk about her master’s thesis, Queering the Center of Machine Learning, and how queer theory and feminist philosophy of science led her to question the idea of neutral AI. We get into gradient descent, data as the "new oil", the strangely immaterial image of “the cloud,” and machine learning’s obsession with benchmarks and performance.
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