AI for Beginners
AI 入门
This is not a list of AI books but a ladder of understanding: first what computation is, then how machines learn, and only then the unresolved questions of superintelligence and alignment. Skipping steps is the most common way to misunderstand AI.
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Level 01
Understand Computing
Computing was never a single invention but a relay of people. Start by building an intuition for how technology actually happens.
The Innovators: How a Group of Hackers, Geniuses, and Geeks Created the Digital Revolution
《创新者：一群技术狂人和黑客如何创造数字革命》
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Level 02
Understand Artificial Intelligence
Break "intelligence" down into tractable problems: search, reasoning, learning, perception.
Artificial Intelligence: A Modern Approach
《人工智能：一种现代的方法》
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Level 03
Understand Machine Learning
Understand representation learning and gradient-based methods — the technical base of modern AI.
Deep Learning
《深度学习》
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Level 04
Understand Reinforcement Learning and Agents
Once a system acts toward goals, the problem shifts from prediction to decision.
Reinforcement Learning: An Introduction
《强化学习导论》
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Level 05
Understand LLMs and Alignment
Capability is outpacing value alignment — the most concrete engineering and ethical tension of our time.
The Alignment Problem: Machine Learning and Human Values
《人机对齐》
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Level 06
Understand AGI and the Human Future
Beyond engineering: thinking seriously about irreversible decisions and the limits of control.
Superintelligence: Paths, Dangers, Strategies
《超级智能：路径、危险与策略》