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Deep Cognitive Ecology

Næss's line between shallow and deep ecology, transposed from nature to mind—the recognition that cognitive capacities form a networked ecosystem, not a ladder, so removing the lower friction can starve the higher judgment that rested on it.
Deep cognitive ecology takes Arne Næss's most consequential distinction—shallow versus deep ecology—and applies it to cognition in the age of AI. Replace pollution with the erosion of understanding, resource depletion with the atrophy of the skills that friction builds, and the structure holds, because Næss's structure was never about nature alone: it was about the relationship between a civilization and the systems on which it depends. The shallow cognitive ecologist asks how to use AI tools wisely—the cycle's dams, stewardship, and attentional ecology, all serious proposals. The deep cognitive ecologist asks the prior question the cycle that begins with [YOU] on AI does not quite reach: whether the tool's purpose—amplification, the elimination of friction, the maximization of output—serves the kind of understanding worth having, or quietly erodes it inside a fishbowl of assumptions that has stopped being visible.
Deep Cognitive Ecology
Deep Cognitive Ecology

In the [YOU] on AI Field Guide

The cycle's ascending friction thesis holds that

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