Introduces the Synthetic Data Contamination Equilibrium and derives closed-form optimal provenance subsidies s* = KL(q||p)/(2 kappa) plus watermark strengths to mitigate model collapse, validated by OLS matching structural predictions on C4 data.
Mean field games,
2 Pith papers cite this work. Polarity classification is still indexing.
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econ.GN 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Develops the Inference-Cost Phillips Curve linking AI inference costs to inflation dynamics, derives structural slopes and optimal monetary policy, and reports empirical estimates from US and G7 data that align with theoretical predictions.
citing papers explorer
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The Economics of Model Collapse: Equilibrium, Welfare, and Optimal Provenance Subsidies in Synthetic Data Markets
Introduces the Synthetic Data Contamination Equilibrium and derives closed-form optimal provenance subsidies s* = KL(q||p)/(2 kappa) plus watermark strengths to mitigate model collapse, validated by OLS matching structural predictions on C4 data.
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The Economics of AI Inference: Inflation Dynamics, Welfare Costs, and Optimal Monetary Policy under the Inference-Cost Phillips Curve
Develops the Inference-Cost Phillips Curve linking AI inference costs to inflation dynamics, derives structural slopes and optimal monetary policy, and reports empirical estimates from US and G7 data that align with theoretical predictions.