Couverture de Co-Intelligence

Co-Intelligence

Living and Working with AI

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Co-Intelligence

De : Ethan Mollick
Lu par : Ethan Mollick
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À propos de cette écoute

AN INSTANT NEW YORK TIMES BESTSELLER

From Wharton professor and author of the popular One Useful Thing Substack newsletter Ethan Mollick comes the definitive playbook for working, learning, and living in the new age of AI

Something new entered our world in November 2022—the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our own, humans had developed a kind of co-intelligence that could augment, or even replace, human thinking. Through his writing, speaking, and teaching, Mollick has become one of the most prominent and provocative explainers of AI, focusing on the practical aspects of how these new tools for thought can transform our world.

In Co-Intelligence, Mollick urges us to engage with AI as co-worker, co-teacher, and coach. He assesses its profound impact on business and education, using dozens of real-time examples of AI in action. Co-Intelligence shows what it means to think and work together with smart machines, and why it's imperative that we master that skill.

Mollick challenges us to utilize AI's enormous power without losing our identity, to learn from it without being misled, and to harness its gifts to create a better human future. Wide ranging, hugely thought-provoking, optimistic, and lucid, Co-Intelligence reveals the promise and power of this new era.

A limited amount of text-to-speech is used throughout the title for specific characters to achieve a particular creative effect, and the title is otherwise narrated by a human.

©2024 Ethan Mollick (P)2024 Penguin Audio
Business et carrière Futurologie Ingénierie Sciences informatiques
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    Commentaires

    "Co-Intelligence is a solid explainer. Convincing…a blueprint…smart and well informed…"—The Wall Street Journal

    "Generative AI has an oracle, and his name is Ethan Mollick. Lucky you: our oracle has written a lucid, succinct, and eminently practical guide to navigating the revolution that is right now unfolding at an astonishing pace. Co-Intelligence is the very best book I know about the ins, outs, and ethics of generative AI. Drop everything and read it cover to cover NOW."—Angela Duckworth, New York Times bestselling author of Grit

    "Ethan Mollick has been a leader with the hands-on exploration of AI's evolving capabilities. In Co-Intelligence, he masterfully navigates the landscape of AI advancements with insightful and informative commentary, presented with remarkable clarity and precision. This book is an invaluable resource, offering a comprehensive guide to current trends and future expectations in AI. I wholeheartedly recommend it to anyone looking to deepen their understanding of this rapidly evolving technology."—Eric Horvitz, Chief Scientific Officer, Microsoft

    Ce que les auditeurs disent de Co-Intelligence

    Moyenne des évaluations utilisateurs. Seuls les utilisateurs ayant écouté le titre peuvent laisser une évaluation.
    Global
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    • 3.5 out of 5 stars
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    Histoire
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    • Global
      5 out of 5 stars
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      5 out of 5 stars
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    Must read book

    Lecture rapide et instructive, idéale pour comprendre l'impact de l'ai. Il propose des principes applicables dans tous les domaines pour l'utilisation de l'ai. + des exemples concrets. Un point que je retiendrai en particulier : son approche pour éviter le shadow IT dans les organisations , encourageant une utilisation transparente et donc vertueuse de l'AI

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    • Global
      1 out of 5 stars
    • Interprétation
      1 out of 5 stars
    • Histoire
      2 out of 5 stars

    Half-Baked!

    This book’s author is clearly fascinated with artificial intelligence. Here, he summarizes the history of the phenomenon and provides various examples of what AI can produce, puzzlingly including lame limericks. He quotes multiple research studies, many by himself. Strangely, after explaining at length why AI should not be anthromorphized, he announces that he will do it anyway.

    Basically, the book’s point is that AI is unripe and unreliable but should still be incorporated in « all your activities ». For a tenured professor in a business school like the author, this is no doubt a commendable endeavour. For anyone else, under professional, family and personal pressure, it appears at best laborious and at worse perilous.

    The audio version is narrated by the author. Deplorably, his enunciation is atrocious with for instance « in track » meaning « interact », « eeknesses » « weaknesses », « jag » « jagged » and « sztems » «systems ». At one point, it is difficult to make out if someone is being described as «widely recognized » or « wildly recognized »! Yet worse, at the time of taping, the narrator’s voice sounded as if he had a very severe cold. The whole auditory experience turns out to be downright tedious.

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