
In "Deep Thinking," chess legend Garry Kasparov transforms his historic defeat by IBM's Deep Blue into profound wisdom about human-AI collaboration. Recommended by DeepMind's founder, this counterintuitive manifesto asks: What if losing to machines unlocks our greatest creative potential?
通过作者的声音感受这本书
将知识转化为引人入胜、富含实例的见解
快速捕捉核心观点,高效学习
以有趣互动的方式享受这本书
In 1997, a watershed moment in human history occurred when IBM's Deep Blue supercomputer defeated world chess champion Garry Kasparov. This wasn't just another chess match - it represented the culmination of decades of work to build a machine that could outthink the greatest human minds in a domain considered the pinnacle of intellectual achievement. Chess, with its perfect balance of clarity and complexity, had become the ideal testing ground for artificial intelligence. The rules are simple enough to program, yet the game's depth is staggering - more possible chess positions exist than atoms in the observable universe. What made this confrontation so fascinating was the fundamental difference in approach: Kasparov relied on intuition, pattern recognition, and strategic understanding, while Deep Blue calculated 200 million positions per second with relentless precision. The match captivated global attention precisely because it forced us to confront profound questions: What happens when machines begin to outperform us at tasks we consider uniquely human? And how might we adapt to a world where silicon increasingly outthinks carbon?
将《Deep Thinking》的核心观点拆解为易于理解的要点,了解创新团队如何创造、协作和成长。
将《Deep Thinking》提炼为快速记忆要点,突出坦诚、团队合作和创造力的关键原则。

通过生动的故事体验《Deep Thinking》,将创新经验转化为令人难忘且可应用的精彩时刻。
随心提问,选择声音,共同创造真正与你产生共鸣的见解。

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