Literary Theory for Robots

How Computers Learned to Write

Literary Theory for Robots reveals the hidden history of modern machine intelligence, taking listeners on a spellbinding journey from medieval Arabic philosophy to visions of a universal language, past Hollywood fiction factories, and missile defense systems trained on Russian folktales. In this provocative reflection on the shared pasts of literature and computer science, former Microsoft engineer and professor of comparative literature Dennis Yi Tenen provides crucial context for recent developments in AI, which holds important lessons for the future of humans living with smart technology.

Intelligence expressed through technology should not be mistaken for a magical genie, capable of self-directed thought or action. Rather, in highly original and effervescent prose with a generous dose of wit, Yi Tenen asks us to read past the artifice—to better perceive the mechanics of collaborative work. Something as simple as a spell-checker or a grammar-correction tool, embedded in every word-processor, represents the culmination of a shared human effort, spanning centuries.

With its masterful blend of history, technology, and philosophy, Yi Tenen's work ultimately urges us to view AI as a matter of labor history, celebrating the long-standing cooperation between authors and engineers.

©2024 Dennis Yi Tenen (P)2024 Tantor

Extremely fun listen!

Highly recommend for all literature majors or enthusiasts! Beyond poignant analogies and prose! Very insightful and informative.

Maybe better in print

Among other things, the publisher decided to not include a PDF and instead included a narrated preface stating that there are references in the audiobook to tables/charts that only exist in printed or e-book copies. If I'd purchased the book with a credit, rather than cash, I would've returned it as soon as I heard that