François Chollet：领域训练是否能提升一般智力
人类在这里提供了一个有趣的比较点。
在80年代，“编程的认知后果”是一个主要的心理学研究焦点。当时的主流假设是，通过计算机编程学习形式逻辑和算法结构，将起到一种大脑体操的作用，能够提升一般推理、规划以及新颖问题解决能力。但基础研究，随后进行的元分析表明，这种情况并未发生。学习编程的学生在算法思维和编码方面变得高度熟练，但这些进步并未转移到一般认知任务或无关问题解决场景中。同样，密集的数学训练能改善数学演绎和结构映射，但并不会提高个体在无关领域的基础技能习得速度。
一般智力似乎是大脑的一种基本属性，而不是你可以训练的一种技能。在某个领域练习会让你在该领域变得更好，但并不会让你总体上更聪明。
对照原文
Humans provide a fun comparison point here. In the 80s, the "cognitive consequences of programming" was a major psychological research focus. The prevailing hypothesis was that learning formal logic and algorithmic structures through computer programming would act as a form of mental gymnastics that could upgrade general reasoning, planning, and novel problem-solving abilities. But foundational research, followed by subsequent meta-analyses, demonstrated that this does not happen. Students who learn programming become highly proficient at algorithmic thinking and coding, but these gains do not transfer to general cognitive tasks or unrelated problem-solving scenarios. Similarly, intensive mathematical training improves mathematical deduction and structural mapping, but does not increase an individual's baseline rate of skill acquisition in unrelated fields. General intelligence seems to be a fundamental property of the brain rather than a skill you can train. Practicing in a domain makes you better at the domain but does not make you generally smarter.