Why AI May Be Stuck at Rule-Following While Human Creativity Gains Value

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A developer essay argues that skill mastery occurs in two phases: an early 'science' stage of following inherited rules, and a later 'art' stage of transcending them through earned judgment. This framework mirrors the Dreyfus model of skill acquisition, which tracks learners from rigid rule-following as novices to fluid improvisation as experts. The author contends that generative AI is fundamentally anchored in the 'science' tier, since models are trained to predict statistically likely outputs that trend toward smooth, averaged results. Human creative work, by contrast, carries irregular and idiosyncratic choices that reflect a specific perspective shaped by personal context and history. Rather than devaluing human creativity, the author suggests AI's limitations may actually increase the worth of work that demonstrates genuine rule-transcending judgment.

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