The future of AI lies in understanding causality, not just correlation.
人工智能的未来在于理解因果关系，而不仅仅是相关性。
The causal revolution is about empowering machines to think like humans.
因果革命是关于赋予机器像人类一样思考的能力。
The ability to imagine counterfactuals is what distinguishes humans from machines.
想象反事实的能力是区分人类和机器的关键。
The language of causality is the language of science.
因果关系的语言是科学的语言。
The essence of causal inference is to go beyond the data and ask what would happen if we intervene.
因果推断的本质是超越数据，询问如果我们干预会发生什么。
Data are profoundly dumb; they tell you nothing about causes and effects.
数据是非常愚蠢的；它们不会告诉你任何关于因果关系的信息。
The ladder of causation has three rungs: seeing, doing, and imagining.
因果关系的阶梯有三个梯级：观察、行动和想象。
To understand is to know what causes what.
理解就是知道什么导致什么。
Causality is the fabric of the universe, and probability is its language.
因果关系是宇宙的结构，概率是其语言。
The purpose of computation is insight, not numbers.
计算的目的是洞察，而不是数字。