TL;DR
The paper concludes that the model’s value lies in identifying the tragedy of the cognitive commons, a credible negative externality, and sets out a research agenda for measuring effort elasticity and monitoring the commons.
The results indicate the necessity of an epistemic filter in the DIKW pyramid, filtering information from its disorders (misinformation, noise, unverified or low-quality outputs) before it can be allowed to enter knowledge.
Dispersion–revision coupling is operationalized : the degree to which an intervention that verifiably increases the dispersion of a collective’s outputs in embedding space is accompanied by genuine revision of the collective’s epistemic stance is accompanied by premise-preserving reformulation.
Preparing for the asymmetric understanding scenario calls for segmented markets that preserve a human fallback, simpler and more robust central bank rules, and less strategic ambiguity.
This work operationalizes dispersion-revision coupling and proposes CI with the Meta-Predictive Clarity System, which inserts a Re-Differentiation Protocol (RDP) when outputs over-converge, as a reusable method for estimating this coupling regime.
Generative AI encodes the majority's way of knowing as the default infrastructure of knowledge itself as the default infrastructure of knowledge itself, and law must learn to govern at that level of model training.
Knowledge distillation—the practice of training a compact student model on the outputs of a larger teacher model—has emerged as the fastest‐growing technique for replicating and disseminating frontier artificial intelligence (AI) capabilities. Because distillers can achieve near‐parity with incumbents at a frac...
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