Outliers Over Regression
Insight
When machines optimize for regression to the mean, the distinctly human contribution is creating meaningful deviation. AI excels at pattern-matching and convergence. Humans create value by being outliers: the unexpected insight, the category-breaking choice, the aesthetic judgment that no dataset predicted. In a world where machines handle the mean, human worth lies in the tails of the distribution. This reframes the "AI replacing humans" question: the threat is not replacement, it is becoming average.
Related Concepts
Source Context
异常值的价值:当机器寻找回归,人类需要创造的是偏差
[2:17:30]