AI 时代的信息又快又碎，越是这样，越需要静下心来吸收一些长输入。从交互设计转向 AI 应用，加入 DLG 以后，我在工作之余持续给自己输入系统性的知识，回到 AI 出现之前的学习状态。这是我的书单。Information in the AI era arrives fast and in fragments, which is exactly why I make room for long-form input. Since moving from interaction design into applied AI and joining DLG, I have kept feeding myself systematic knowledge outside work, the way I learned before AI. This is my reading list.
AI 从哪里来Where AI came from
- 计算机与人脑The Computer and the Brain冯·诺伊曼John von Neumann
为 1956 年讲座准备、生前没有写完的讲稿，把数字计算机和神经系统放在一起比较。Lectures prepared for 1956 and left unfinished, comparing the digital computer with the nervous system.
- 人工智能简史A Brief History of AI尼克Nick
从达特茅斯会议讲起的 AI 学术史，人物、流派和争论。An academic history of AI from Dartmouth onwards: people, schools and arguments.
- 深度学习革命Genius Makers凯德·梅茨Cade Metz
深度学习怎样从边缘走到主流，以及背后的人和公司。How deep learning went from the fringe to the mainstream, and the people and companies behind it.
- 我看见的世界：李飞飞自传The Worlds I See在读reading李飞飞Fei-Fei Li
从移民少女到 ImageNet：数据如何改变了计算机视觉。From young immigrant to ImageNet: how data changed computer vision.
- 科学之路Quand la machine apprend杨立昆Yann LeCun
杨立昆讲卷积网络和深度学习的来路，以及他对机器智能的看法。LeCun on the road to convolutional nets and deep learning, and his view of machine intelligence.
- AI 3.0Artificial Intelligence: A Guide for Thinking Humans在读reading梅拉妮·米歇尔Melanie Mitchell
写给普通人的 AI 现状：能做什么，为什么还缺常识与类比。Where AI stands, for general readers: what it can do and why it still lacks common sense and analogy.
- 智人之上Nexus尤瓦尔·赫拉利Yuval Noah Harari
从信息网络的角度讲人类史，一直讲到 AI。Human history told as a history of information networks, up to AI.
心智与判断Mind & judgment
- 表象与本质Surfaces and Essences侯世达、桑德尔Douglas Hofstadter, Emmanuel Sander
类比是思维的核心。Analogy as the core of thought.
- 皇帝新脑The Emperor's New Mind罗杰·彭罗斯Roger Penrose
论证意识不能完全被算法刻画。The case that consciousness can't be fully captured by algorithms.
- 思考，快与慢Thinking, Fast and Slow在读reading丹尼尔·卡尼曼Daniel Kahneman
系统 1 与系统 2：人怎样做判断，又在哪里出错。System 1 and System 2: how people judge, and where they go wrong.
- 思维的发现The Undoing Project迈克尔·刘易斯Michael Lewis
卡尼曼与特沃斯基合作的故事。The story of Kahneman and Tversky's partnership.
- 为什么伟大不能被计划Why Greatness Cannot Be Planned在读reading肯尼斯·斯坦利、乔尔·雷曼Kenneth Stanley, Joel Lehman
来自新颖性搜索的研究：一心追目标，反而走不远。From novelty-search research: chasing objectives directly often gets you less far.
产品与人Products & people
- 跨越鸿沟Crossing the Chasm杰弗里·摩尔Geoffrey Moore
新技术从早期用户走向主流市场之间的那道鸿沟。The gap a new technology has to cross between early adopters and the mainstream.
- 影响力Influence在读reading罗伯特·西奥迪尼Robert Cialdini
说服背后的几条心理原则。The psychological principles behind persuasion.
- 故事Story在读reading罗伯特·麦基Robert McKee
银幕剧作的结构与原理。The structure and principles of screenwriting.
- AIO 和 GEO 实战AIO & GEO in Practice已读finished邹杨Zou Yang
怎样让内容成为 AI 推荐的答案。How content becomes the answer an AI recommends.
科学与哲学Science & philosophy
- 世界观Worldviews在读reading理查德·德威特Richard DeWitt
科学史与科学哲学入门，从亚里士多德到量子力学。An introduction to the history and philosophy of science, from Aristotle to quantum mechanics.
- 生命是什么What Is Life?埃尔温·薛定谔Erwin Schrödinger
一位物理学家看生命：秩序、负熵与遗传。A physicist on life: order, negative entropy and heredity.
- 失控Out of Control凯文·凯利Kevin Kelly
分布式系统、群体与机器的演化。Distributed systems, swarms and the evolution of machines.
也在读这几位的博客：木遥、Jason Wei、Geoffrey Litt、Linus Lee、Steph Ango、Paul Graham、Michael Nielsen、Nabeel Qureshi。Also reading the blogs of Mu Yao, Jason Wei, Geoffrey Litt, Linus Lee, Steph Ango, Paul Graham, Michael Nielsen and Nabeel Qureshi.