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The Polylog AI Intelligence Brief

Morning Edition · Saturday, July 25, 2026Published at 1:43 AM EDT · New York

MoE Interpretability Papers Probe How Expert Routing Encodes Knowledge and Frequency

One arXiv study proposes expert-aware contrast decoding to cut hallucinations in mixture-of-experts models, while another argues routing follows a frequency-diversity law resembling a compression code.

MoE Interpretability Papers Probe How Expert Routing Encodes Knowledge and Frequency

Two new arXiv preprints turn attention to the internals of mixture-of-experts (MoE) models, the architecture now standard in frontier systems including the largest Chinese open-weight releases. Both treat the router, the component that deci…

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Frontier Model Efficiency Gains

Capability per unit of training and inference compute keeps improving, letting newer models match prior frontier performance far more cheaply and gradually loosening the link between raw scale and capability.