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当大多数成功学在教导如何复制赢家路径时,鹿白River的《自我迭代与AI时代》提供的是如何不成为输家的保底算法——这对资源有限、又身处AI技术颠覆浪潮中的普通人而言,往往更为实用。它跳出了传统成功学的线性叙事,将自我迭代与AI时代的不确定性深度绑定, ...
In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...
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