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The Third Knowledge Regime: Artificial Intelligence as an Emergent Response to the Limits of Classical Academia and Open Repositories
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Abstract
Artificial intelligence does not surpass humans through intrinsic cognitive capacity. Its operational advantage emerges from the elimination of accumulated institutional frictions that limit collective human cognition. This article examines that diagnosis from three fronts: the structural slowness of the traditional academic system, the epistemic noise of open repositories without adequate filtering, and the anonymous gatekeeping over the knowledge graphs that feed LLMs. The concept of epistemological coordination costs is introduced to explain why classical academia and open repositories fail simultaneously, and how AI occupies that historical gap. Fourth preprint in the author's independent series. Available at carlosravello.com
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- DOI
- 10.5281/zenodo.20298743
- OpenAlex
- W7161702183
- Document type
- preprint
- Language
- EN
- Source
- Zenodo (CERN European Organization for Nuclear Research)
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