Morning Edition · Friday, July 24, 2026Published at 1:33 AM EDT · New York
Two Papers Probe the Inside of Mixture-of-Experts Routing
One frames expert selection as a frequency-driven code over chains of thought, the other uses expert-aware contrastive decoding to reduce hallucination.
Two arXiv preprints examine the routing logic inside Mixture-of-Experts (MoE) models, the architecture behind most efficient frontier systems, where a gate sends each token to a small subset of experts. The first, asking whether MoE routing…
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Part of a tracked trend
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.
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