Genius Makers Book Summary - Genius Makers Book explained in key points
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Genius Makers summary

Cade Metz

The Mavericks Who Brought AI to Google, Facebook, and the World

4.3 (89 ratings)
26 mins

Brief summary

Genius Makers by Cade Metz is a riveting non-fiction book about the rise of artificial intelligence and the brilliant minds behind it, including Google's Jeff Dean and Facebook's Yann LeCun. It delves into the challenges, ethics, and potential impact of AI on society.

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    Genius Makers
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    Early research into artificial intelligence was met with skepticism.

    July 7, 1958. Men huddle around a massive refrigerator-sized computer deep within the offices of the United States Weather Bureau in Washington, DC. They watch intently as Frank Rosenblatt, a young professor from Cornell University, shows the computer a series of cards.

    Each card has a black square printed on one side. The machine is supposed to identify which have the mark on their left side and which have it on the right. At first, it can’t tell the difference. But as Rosenblatt continues the flash cards, accuracy improves. After 50 tries, it identifies the cards’ orientation nearly perfectly.

    Rosenblatt calls the machine the Perceptron. While these days it seems rudimentary, it’s actually an early precursor to what we now call artificial intelligence, or AI. Though, at the time, it was dismissed as a novelty.

    The key message here is: Early research into artificial intelligence was met with skepticism.

    Today, we recognize Rosenblatt’s Perceptron, and its successor, the Mark I, as very early versions of a neural network. Neural networks, computers that use a process sometimes called machine learning, underlie much of what we currently call artificial intelligence. At the most basic level, they work by analyzing massive amounts of data and searching for patterns. As a network identifies more patterns, it refines its analytical algorithms to produce ever more accurate information.

    Back in 1960, this process was slow and involved a lot of trial and error. To train the Mark I, scientists fed the computer pieces of paper with a letter, such as an A, B, or C, printed on each. Using a series of calculations, the computer would guess which letter it saw. Then a human would mark the guess as correct or incorrect. The Mark I would then update its calculations so it could guess more accurately the next time.

    Scientists like Rosenblatt compared this process to those of the human brain, arguing that each calculation was like a neuron. By connecting many calculations that update and adapt over time, a computer could learn as humans do. Rosenblatt called this connectionism. Yet there were detractors, like MIT computer scientist Marvin Minsky. In a 1969 book, Minsky criticized the concept of connectionism. He argued that machine learning could never scale up to solve more complex problems.

    Minsky’s book proved very influential. Throughout the 1970s and early 80s, interest in researching neural networks declined. During this “AI winter” few institutions funded neural network research and progress on machine learning stalled. But it didn’t stop completely. A few scientists continued toying with connectionism, as we’ll see in the next blink.

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    What is Genius Makers about?

    Genius Makers (2021) tells the story of the current race to develop artificial intelligence. This expansive report covers the sprawling history of AI, from its early development to today’s current controversies.

    Genius Makers Review

    Genius Makers (2021) is a captivating exploration of the individuals and technologies driving the artificial intelligence revolution. Here's why this book is worth reading:

    • It unveils the behind-the-scenes stories of the pioneers in AI, showcasing their triumphs and pitfalls, and offering a unique perspective on this rapidly evolving field.
    • The book dives deep into the ethical and societal implications of AI, raising thought-provoking questions about the future of humanity and the power dynamics at play.
    • Through meticulous research and interviews, it reveals the untold narratives of AI development, shedding light on the brilliant minds and groundbreaking innovations shaping our world today.

    Who should read Genius Makers?

    • AI skeptics critical of emerging trends
    • Techno-utopians eager for the digital singularity
    • Anyone curious about the future of computers

    About the Author

    Cade Metz is a reporter at the New York Times specializing in robotics, artificial intelligence, and other digital technology issues. Previously, he was a senior staff writer with Wired magazine.

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    Genius Makers FAQs 

    What is the main message of Genius Makers?

    The main message of Genius Makers is the rise of artificial intelligence and the people behind it.

    How long does it take to read Genius Makers?

    The reading time for Genius Makers varies depending on the reader's speed. However, the Blinkist summary can be read in just 15 minutes.

    Is Genius Makers a good book? Is it worth reading?

    Genius Makers is a fascinating read for anyone interested in AI and its impact on society.

    Who is the author of Genius Makers?

    The author of Genius Makers is Cade Metz.

    What to read after Genius Makers?

    If you're wondering what to read next after Genius Makers, here are some recommendations we suggest:
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    • Leadership by Algorithm by David De Cremer
    • How to Speak Machine by John Maeda
    • The 3.3 Rule by John Briggs
    • Manifest by Roxie Nafousi
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