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Friedrich Hayek

The economist-philosopher who proved that the knowledge required to run a complex society is not collectible in any central mind—a finding that becomes the sharpest available instrument for measuring what AI can and cannot know.
Hayek is the thinker the AI age summoned without meaning to. A Nobel laureate in economics and one of the twentieth century's most rigorous minds, he spent fifty years on a single, unfashionable, and increasingly urgent idea: that the knowledge required to coordinate a complex society is not, and cannot be, gathered in any single place. It is divided among millions of people, much of it never made explicit, much of it generated only in the moment of being used—and any attempt to centralize it destroys the very thing it tries to capture. The dominant promise of large language models is comprehension at scale, and from that promise a seductive inference follows: if the machine knows so much, perhaps it could direct what humans currently coordinate through dispersed, local knowledge. Hayek spent his career explaining, with unusual precision, why that inference is not a technical question but an epistemic one, and why the answer is permanently no. His distinction between
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