Listen free for 30 days
Listen with offer
-
Literary Theory for Robots
- How Computers Learned to Write
- Narrated by: Rebecca Lam
- Length: 4 hrs and 51 mins
Failed to add items
Add to basket failed.
Add to wishlist failed.
Remove from wishlist failed.
Adding to library failed
Follow podcast failed
Unfollow podcast failed
£0.00 for first 30 days
Buy Now for £10.99
No valid payment method on file.
We are sorry. We are not allowed to sell this product with the selected payment method
Summary
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.