On Intelligence book cover

On Intelligence by Jeff Hawkins and Sandra Blakeslee Summary

On Intelligence
Jeff Hawkins and Sandra Blakeslee
4.11 (6935 Reviews)
Ai
Technology
Psychology
개요
핵심 요점
저자
자주 묻는 질문

Overview of On Intelligence

PalmPilot inventor Jeff Hawkins revolutionizes our understanding of intelligence, arguing the brain is a memory-prediction system, not a computer. Elon Musk once called it "essential reading" for anyone curious about AI's future. What if consciousness itself is just sophisticated pattern recognition?

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핵심 내용

1

The Predictive Brain: Intelligence Beyond Computation

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Imagine picking up your morning coffee cup. Before your fingers even touch the ceramic, your brain has already predicted its weight, texture, and temperature. This remarkable feat-performed effortlessly by your neocortex-represents the true essence of intelligence. Not the behavioral outputs that AI researchers have chased for decades, but prediction. This insight forms the cornerstone of Jeff Hawkins' groundbreaking theory in "On Intelligence," a book that has influenced everyone from Elon Musk to Ray Kurzweil. Unlike traditional views of intelligence as computation, Hawkins reveals a profound truth: our brains don't compute solutions-they predict them based on stored patterns. This fundamental shift in understanding intelligence has maintained relevance for nearly two decades while traditional AI approaches repeatedly hit walls of limitation. For decades, artificial intelligence has overpromised and underdelivered. The field's founding assumption-that the brain is just another kind of computer with intelligence emerging from symbol manipulation-led researchers down a frustrating path. Remember when IBM's Deep Blue defeated chess champion Garry Kasparov? The media hailed it as a triumph of machine intelligence, but Deep Blue wasn't intelligent-it was just incredibly fast, evaluating 200 million positions per second without understanding chess any more than a calculator understands mathematics. The problem stems from AI's behavior-centric approach. Following Alan Turing's influence, researchers equated intelligence with producing correct outputs for given inputs. But intelligence isn't about behavior-you're still intelligent while lying in the dark, thinking. Neural networks emerged as an alternative but quickly settled on simplistic models that missed three essential brain characteristics: time-based processing, feedback connections, and hierarchical architecture.

2

The Cortical Architecture: One Algorithm for All Intelligence

3

Memory: The Hidden Engine of Intelligence

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Prediction: The Essence of Understanding

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The Mechanics of Cortical Prediction

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Creativity and Consciousness: Prediction's Gifts

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Building True Intelligence: The Path Forward

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On Intelligence은 단순한 책이 아닙니다 — Ai의 마스터클래스입니다. 당신에게 가장 잘 맞는 방식으로 교훈을 흡수할 수 있도록 5가지 고유한 학습 모드를 제공합니다. 깊이 생각하는 사람이든, 빠른 학습자이든, 이야기를 좋아하는 사람이든, 당신의 스타일에 맞는 모드가 있습니다.

빠른 요약 모드 - On Intelligence 요약을 9분 만에 읽거나 듣기

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On Intelligence 요약 - 9분

On Intelligence의 핵심 아이디어를 이해하기 쉬운 포인트로 분해하여 혁신적인 팀이 어떻게 창조하고, 협력하고, 성장하는지 이해합니다.

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플래시 카드 모드 - On Intelligence에서 엄선한 8가지 핵심 인사이트

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On Intelligence에서 엄선한 8가지 핵심 인사이트

On Intelligence을 빠른 기억 단서로 압축하여 솔직함, 팀워크, 창의적 회복력의 핵심 원칙을 강조합니다.

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"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

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"Reading used to feel like a chore. Now it’s just part of my lifestyle."

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"Feels effortless compared to reading. I’ve finished 6 books this month already."

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