Peli Grietzer: A Mathematized Philosophy of Literature

In episode 83 of The Gradient Podcast, Daniel Bashir speaks to Peli Grietzer.

Peli is a scholar whose work borrows mathematical ideas from machine learning theory to think through “ambient” and ineffable phenomena like moods, vibes, cultural logics, and structures of feeling. He is working on a book titled Big Mood: A Transcendental-Computational Essay in Art and contributes to the experimental literature collective Gauss PDF. Peli has a PhD in mathematically informed literary theory from Harvard Comparative Literature in …

ambient big book computational daniel gradient ideas literature machine machine learning mood philosophy podcast theory think through work