CONCEPT
The Intelligence Commons
The shared resource system comprising knowledge, skills, attention, trust, and institutional arrangements on which AI-augmented work depends — a common-pool resource whose five interlocking flows constitute the ecology within which the builder community operates.
The intelligence commons is not the AI tool itself, which is a private good fully excludable through pricing. It is the larger ecology in which the tool operates: the shared body of human knowledge from which training data is drawn, the distributed pool of professional expertise that sustains quality assessment, the finite space of human evaluative attention, the accumulated trust in human-generated information, and the institutional arrangements through which the community manages its relationship to the other four flows. Each exhibits the defining characteristics of a common-pool resource — subtractability and difficulty of exclusion — though in forms distinct from natural-resource commons.
In The You On AI Field Guide
The framing shifts analytical attention from the AI product to the resource system in which AI operates. A subscription to a language model is a private good. The knowledge commons on which the model was trained, the skills commons that produces practitioners capable of evaluating its output, the attention commons in which its
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