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Literary Theory for Robots

How Computers Learned to Write
Series: A Norton Short
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( 309 ratings, 59 reviews)
Brief Description
Chatbots are sure to have a significant impact on the way we read, write, and think. For better or worse, they are being used to find information, influence public opinion, diagnose illness, and shape political discussion online. How did we get to this point, and what... Read More
Format: Hardback
$4199
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In the industrial age, automation came for the shoemaker and the seamstress. Today, it has come for the writer, professor, physician, programmer and attorney

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

Chatbots are sure to have a significant impact on the way we read, write, and think. For better or worse, they are being used to find information, influence public opinion, diagnose illness, and shape political discussion online. How did we get to this point, and what can we do to prepare?

Literary Theory for Robots reveals the hidden history of modern machine intelligence, taking readers on a spellbinding journey from medieval Arabic philosophy to visions of a universal language, past Hollywood fiction factories and missile defence 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 human living with smart technology.

Series: A Norton Short

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Book Details

INFORMATION

ISBN: 9780393882186

Publisher: WW Norton & Co

Format: Hardback

Date Published: 06 February 2024

Country: United States

Imprint: WW Norton & Co

Audience: General / adult

DIMENSIONS

Spine width: 18.0mm

Width: 147.0mm

Height: 218.0mm

Weight: 314g

Pages: 176

About the Author

Dennis Yi Tenen is an associate professor of English and comparative literature at Columbia University. Originally a software engineer at Microsoft, Yi Tenen is now an affiliate of Columbia’s Data Science Institute. He lives in New York City.

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