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Item #:
83274599
Literary Theory for Robots: How Computers Learned to Write (A Norton Short)
Item #:
83274599
INR 1931
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INR 1931
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Intelligence expressed through technology should not be mistaken for a magical genie, capable of self-directed thought or action.
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What Stands Out
Innovative Perspective
Explores the intersection of literary theory and artificial intelligence, providing a fresh lens on how computers interpret and create literature, appealing to both tech enthusiasts and humanities scholars.
Accessible Format
The Norton Short series delivers complex ideas in a concise, engaging manner, making advanced literary concepts understandable and enjoyable for readers of all backgrounds.
Interdisciplinary Insights
Combines literature, technology, and philosophy to challenge conventional views, encouraging readers to rethink creativity and authorship in the age of sophisticated AI.
Product Details
| Item Weight | 0.6 lbs (270 grams) |
Product Description
Literary Theory for Robots: How Computers Learned to Write (A Norton Short)
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What does the author emphasize about intelligence in technology?
Answer: The author highlights that intelligence in technology stems from human collaboration, rather than autonomous abilities. -
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What is the main message regarding AI in the product description?
Answer: The main message is to not view AI as possessing independent agency, but rather as a product of collective human labor over time. -
Question:
What example of technology is provided to illustrate the collaboration between authors and engineers?
Answer: The example of spell-checkers and grammar tools is given to showcase the shared effort between authors and engineers.
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INR 1931
Order now and get it around Thursday, July 23
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Features & Benefits
- Intelligence in technology is not autonomous; it is a product of human collaboration.
- Author encourages to read past the artificial intelligence to understand the mechanics of collaboration.
- AI like spell-checkers and grammar tools are the result of centuries of human effort.
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