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Literary Theory for Robots: How Computers Learned to Write (A Norton Short)
ZAR 415
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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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| Item Weight | 0.6 lbs (270 grams) |
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Literary Theory for Robots: How Computers Learned to Write (A Norton Short)
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Intelligence & Semantics Editorial Review
The book "Literary Theory for Robots: How Computers Learned to Write" received mixed reviews from customers. Some readers found the content lacking in depth and substance. They mentioned that the book did not deliver on its promise of exploring AI and robotics in relation to literary theory. Many felt that the ideas presented were simplistic and repetitive, leading them to lose interest in the book after a few pages. One reader expressed disappointment with the book's tone, describing it as grating and self-referential. Despite being interested in the topic, they found it challenging to engage with the material due to the writing style. Overall, the general Consensus among reviewers was that the book did not meet their expectations in terms of providing meaningful insights into the intersection of literary theory and robotics. **
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Pros
- The book attempts to explore the connection between literary theory and robotics.
Cons
- Lacks depth and interesting content.
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ZAR 415
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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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