
"Genius Makers" unveils the maverick scientists who revolutionized AI at Google and Facebook. Walter Isaacson called it a "colorful page-turner" that humanizes tech's most transformative quest. What ethical price are we paying as Geoffrey Hinton's deep learning dreams reshape our world?
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In December 2012, a peculiar scene unfolded in Lake Tahoe. Geoff Hinton, a tall, distinguished AI researcher who hadn't sat down for seven years due to a back injury, found himself at the center of a high-stakes bidding war. Tech giants Google and Baidu were offering millions for his tiny company, DNNresearch. What made this three-person startup so valuable? Hinton and his students had achieved a breakthrough in neural networks that demonstrated unprecedented accuracy in image recognition-igniting what would become the deep learning revolution. This moment marked a dramatic turning point in artificial intelligence, but it was hardly the beginning of the story. The seeds had been planted decades earlier, in 1958, when Frank Rosenblatt unveiled the Perceptron-a machine heralded as an electronic brain capable of mimicking human cognition. "We are now on the threshold of an era that will be strongly influenced, and quite possibly dominated, by intelligent machines," Rosenblatt declared with remarkable prescience. But the Perceptron's abilities were vastly overstated, creating the first in a series of boom-and-bust cycles that would characterize AI's tumultuous history. The field soon split into competing camps: those who believed in brain-inspired neural networks versus those who favored rule-based symbolic AI. When Marvin Minsky published a devastating critique of the Perceptron's limitations, neural network research was effectively sidelined for nearly two decades-a technological road not taken that makes you wonder: how different might our world be if this approach hadn't been abandoned?
Genius Makers의 핵심 아이디어를 이해하기 쉬운 포인트로 분해하여 혁신적인 팀이 어떻게 창조하고, 협력하고, 성장하는지 이해합니다.
Genius Makers을 빠른 기억 단서로 압축하여 솔직함, 팀워크, 창의적 회복력의 핵심 원칙을 강조합니다.

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"It is great for me to learn something from the book without reading it."
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"Makes me feel smarter every time before going to work"
샌프란시스코에서 컬럼비아 대학교 동문들이 만들었습니다

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