Literary Theory for Robots: How Computers Learned to Write (A Norton Short)
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Literary Theory for Robots: How Computers Learned to Write (A Norton Short)
Intelligence expressed through technology should not be mistaken for a magical genie, capable of self-directed thought or action.
Literary Theory for Robots: How Computers Learned to Write (A Norton Short)
Artikelnr.: 83274599

Literary Theory for Robots: How Computers Learned to Write (A Norton Short)

Artikelnr.: 83274599

ANG 37

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Wat opvalt

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.

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Shop Literary Theory for Robots: How Computers Learned to Write (A Norton Short) online at a best price in curacao. 0393882187
Item Weight0.6 lbs (270 grams)

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Literary Theory for Robots: How Computers Learned to Write (A Norton Short)

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Vragen & Antwoorden van klanten

  • vraag: What does the author emphasize about intelligence in technology?

    antwoord: The author highlights that intelligence in technology stems from human collaboration, rather than autonomous abilities.
  • vraag: What is the main message regarding AI in the product description?

    antwoord: The main message is to not view AI as possessing independent agency, but rather as a product of collective human labor over time.
  • vraag: What example of technology is provided to illustrate the collaboration between authors and engineers?

    antwoord: The example of spell-checkers and grammar tools is given to showcase the shared effort between authors and engineers.

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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  • The book attempts to explore the connection between literary theory and robotics.

Nadelen

  • Lacks depth and interesting content.

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Kenmerken en voordelen

  • 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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