Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World By Cade Metz

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Author: Cade Metz

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"This colorful page-turner puts artificial intelligence into a human perspective. Through the lives of Geoff Hinton and other major players, Metz explains this transformative technology and makes the quest thrilling."—Walter Isaacson, author of The Code BreakerRecipient of starred reviews in both Kirkus and Library JournalTHE UNTOLD TECH STORY OF OUR TIME What does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create? With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing. Long dismissed as a technology of the distant future, artificial intelligence was a project consigned to the fringes of the scientific community. Then two researchers changed everything. One was a sixty-four-year-old computer science professor who didn’t drive and didn’t fly because he could no longer sit down—but still made his way across North America for the moment that would define a new age of technology. The other was a thirty-six-year-old neuroscientist and chess prodigy who laid claim to being the greatest game player of all time before vowing to build a machine that could do anything the human brain could do. They took two very different paths to that lofty goal, and they disagreed on how quickly it would arrive. But both were soon drawn into the heart of the tech industry. Their ideas drove a new kind of arms race, spanning Google, Microsoft, Facebook, and OpenAI, a new lab founded by Silicon Valley kingpin Elon Musk. But some believed that China would beat them all to the finish line. Genius Makers dramatically presents the fierce conflict between national interests, shareholder value, the pursuit of scientific knowledge, and the very human concerns about privacy, security, bias, and prejudice. Like a great Victorian novel, this world of eccentric, brilliant, often unimaginably yet suddenly wealthy characters draws you into the most profound moral questions we can ask. And like a great mystery, it presents the story and facts that lead to a core, vital question: How far will we let it go?

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This is a terrific non-technical book on the recent history of deep learning and artificial intelligence (AI). It is in the same tradition as Walter Isaacson's and Michael Lewis' books such as the Innovators and Flash Boys. The author, a senior writer at the New York Times and formerly at Wired magazine, interviewed many people in the field and it shows. If you are a student, researcher, or practitioner of machine learning, deep learning, or AI, you will appreciate the details on the origins of the AI efforts in the different firms, such as why DeepMind is part of Google or why Yann LeCun is at Facebook. If you are not directly involved, the book is still a great read to understand how the current AI technology came to be as it becomes omnipresent around us on the internet (Google), in our cell phones (Android, iPhone), personal assistants (Google Assistant, Alexa) , TV (Netflix), and what the current challenges are today especially in the field of ethics and fair AI. After reading this history, one has the feeling that the big tech companies have undertaken their own Manhattan Projects not in Los Alamos but the Silicon Valley, Toronto, Montreal, London, Paris, and Beijing. Interestingly, the author also compares Demis Hassabis, the head of DeepMind to J. Robert Oppenheimer, the former head of the Manhattan Project. One hopes the AI community will be more clairvoyant than the physicists and that it will be able to minimize its regrets.

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