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You Look Like a Thing and I Love You
- Narrated by: Xe Sands
- Length: 5 hrs and 33 mins
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Publisher's Summary
AI is everywhere. It powers the autocorrect function of your iPhone, helps Google Translate understand the complexity of language and interprets your behaviour to decide which of your friends' Facebook posts you most want to see. In the coming years, it'll perform medical diagnoses and drive your car - and maybe even help our authors write the first lines of their novels. But how does it actually work?
Scientist and engineer Janelle Shane is the go-to contributor about computer science for the New York Times, Slate and the New Yorker. Through her hilarious experiments, real-world examples and illuminating cartoons, she explains how AI understands our world and what it gets wrong. More than just a working knowledge of AI, she hands listeners the tools to be skeptical about claims of a smarter future.
A comprehensive study of the cutting-edge technology that will soon power our world, You Look Like a Thing and I Love You is an accessible and hilarious exploration of the future of technology and society. It's Astrophysics for People In a Hurry meets Thing Explainer: an approachable guide to a fascinating scientific topic, presented with clarity, levity and brevity by an expert in the field with a powerful and growing platform.
PLEASE NOTE: When you purchase this title, the accompanying reference material will be available in your Library section along with the audio on our desktop site.
Critic Reviews
"I can't think of a better way to learn about artificial intelligence, and I've never had so much fun along the way." (Adam Grant, New York Times best-selling author of Originals and Option B)
What listeners say about You Look Like a Thing and I Love You
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- PatienceAllergy
- 29-02-2020
More than an extension of the writer's blog!
More than an extension of Janelle's blog (which is also fun!) this audiobook delves into how modern AIs work (and fail, ahaha). The narrator was super, and I should really listen again. Mostly because I was battling AI in a video game while listening, and neural-networks require more concentration from me to properly comprehend!
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