Como cliente Amazon Prime obtén 3 meses de Audible gratis
Literary Theory for Robots
How Computers Learned to Write
No se ha podido añadir a la cesta
Error al eliminar la lista de deseos.
Se ha producido un error al añadirlo a la biblioteca
Se ha producido un error al seguir el podcast
Error al dejar de seguir el podcast
Escúchalo ahora gratis con tu suscripción a Audible
Compra ahora por 12,99 €
-
Narrado por:
-
Rebecca Lam
-
De:
-
Dennis Yi Tenen
Acerca de este título
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