Artificial Intelligence book cover

Artificial Intelligence by Melanie Mitchell Summary

Artificial Intelligence
Melanie Mitchell
AI
Science
Technology
概述
核心要点
作者
常见问题

Overview of Artificial Intelligence

In "Artificial Intelligence," Melanie Mitchell demystifies AI's hype versus reality. Endorsed by Douglas Hofstadter, who fears humans becoming "relics," this eye-opening guide reveals why even our smartest machines lack common sense. Can AI ever truly think like us?

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核心要点

1

The Paradox of Artificial Intelligence

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Inside Google's headquarters, Melanie Mitchell found herself ironically lost while heading to discuss AI-a perfect metaphor for the field itself. The company that began as a search engine now pursues an audacious mission: "Solve intelligence and use it to solve everything else." This ambition reflects AI's perpetual optimism, dating back to pioneers who predicted human-level AI within a decade-forecasts still unfulfilled half a century later. The field exists in a state of contradiction: some claim we're approaching superintelligence while others insist we've made minimal progress toward machines that truly think. This tension reveals the central question: will AI eventually show that our most cherished qualities-intelligence, creativity, consciousness-are merely "a bag of tricks" easily replicated by algorithms? Or is there something fundamentally different about human understanding that machines cannot capture?

2

From Symbols to Networks: AI's Evolving Approach

3

The Deep Learning Revolution: Breakthroughs and Boundaries

4

The Vision Problem: Seeing Without Understanding

5

Learning's Limitations: Data Hunger and Blind Spots

6

The Meaning Barrier: AI's Fundamental Challenge

7

The Human Intelligence Advantage

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《Artificial Intelligence》不仅仅是一本书——它是AI领域的大师课。为了帮助你以最适合的方式吸收书中精华,我们提供五种独特的学习模式。无论你是深度思考者、快速学习者还是故事爱好者,总有一种模式适合你。

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