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Superagency

What Could Possibly Go Right with Our AI Future

ebook
1 of 1 copy available
1 of 1 copy available
Instant New York Times and USA Today Bestseller.

Tech visionary and co-founder of Manas AI Reid Hoffman shares his unique insider's perspective on an AI-powered future, making the case for its potential to unlock a world of possibilities.

"An essential companion." — Fei-Fei Li
"An important read." —Bill Gates
"Brilliant mind. Compassionate heart. Bold ideas...Read this book!" —Van Jones
"Refreshingly optimistic and welcome perspective." — Ariana Huffington
"A fascinating and insightful book." —Yuval Noah Harari

As taught at UPenn's Wharton and Stanford.
Superagency offers a roadmap for using AI inclusively and adaptively to improve our lives and create positive change. While acknowledging challenges like disinformation and potential job changes, the book focuses on AI's immense potential to increase individual agency and create better outcomes for society as a whole.

Imagine AI tutors personalizing education for each child, researchers rapidly discovering cures for diseases like Alzheimer's and cancer, and AI advisors empowering people to navigate complex systems and achieve their goals. Hoffman and co-author, tech and culture writer Greg Beato envision a world where these possibilities, and many more, become a reality.

Superagency challenges conventional fears, inviting us to view the future through a lens of opportunity, rather than fear. It's a call to action – to embrace AI with excitement and actively shape a world where human ingenuity and the power of AI combine to create something extraordinary.

Entrepreneur Reid Hoffman is a co-founder of LinkedIn, Inflection AI, and Manas AI. He is also host of the podcasts Possible and Masters of Scale.
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    • Kirkus

      February 15, 2025
      Going against the "Gloomers" and "Doomers." Reid, the co-founder of LinkedIn, and Beato, a tech and culture writer, aim to dispel the public's concerns about ceding control to AI systems and to establish trust in AI companies and their methods by showing "what could possibly go right" in AI development. Attempting to persuade readers that industry regulation is undemocratic and inhibits progress, the authors promulgate industry-friendly ideas such as permissionless innovation, iterative development, and risk tolerance. They take issue with AI "Gloomers," who favor official oversight. They examine the historical context of technological adoption, using examples like the automobile, the power loom, and the printing press to illustrate how new technologies can transform societies. However, the authors don't entirely prove their case. They frequently make comparisons that are an oversimplification of a complex issue, such as when they write: "Regulation is one way we try to compel certainty, but no regulation can completely eliminate the risk of some unfortunate thing happening." The authors compare the regulation of Large Language Models (LLMs) used in AI to laws against robbery and professional licensing for doctors and lawyers: "Laws that make robbery a crime aren't a guarantee that you won't ever get mugged--they're simply a policy designed to reduce that possibility." But these are vastly different domains with distinct risks and regulatory challenges. The authors' writing suffers from logical fallacies--hyperbole, hasty generalizations, and false dichotomies. At times, the book reads as if it were written by AI--meaning the arguments sound plausible, but may suffer from a biased feedback loop that could have occurred during one of their "endless conversations...with Claude, ChatGPT, and Gemini," which Beato cites using "while drafting this book." These problems render the book largely sophomoric. A defense of AI weakened by poor arguments and little critical analysis.

      COPYRIGHT(2025) Kirkus Reviews, ALL RIGHTS RESERVED.

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  • English

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