CONCEPT
The Knowledge Commons
The shared body of accumulated human knowledge — encoded in texts, traditions, practices, databases, and institutional memory — on which both human creativity and AI training depend, degraded in the AI era not through extraction but through informational pollution.
The knowledge commons is the first of the five flows that constitute the intelligence commons. Unlike a fishery, where overuse depletes the population through physical extraction, the knowledge commons degrades through contamination: the mass introduction of AI-generated content of uncertain reliability increases the cost for everyone of finding genuinely valuable information. The subtractability operates through signal-to-noise degradation. Every confident-seeming but fabricated citation, every plausible but incorrect claim, every polished but hollow analysis raises the evaluative cost borne by everyone who subsequently engages with the environment.
In The You On AI Field Guide
The degradation mechanism is distinct from anything Ostrom observed in natural-resource commons. In a fishery, overuse is visible — fewer fish, smaller fish, declining catches per unit of effort. In the knowledge commons, degradation is invisible because it is masked by the surface quality of AI-generated output. The scholarly literature accumulates citations to sources that an AI confabulated. Search results become less reliable. The cost
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