Morning Edition · Monday, September 21, 2026Published at 2:21 AM EDT · New York
Radius-bounded sparse prefill, learned per-context sparsity during decoding, and attention-informed expert routing all target the same cost constraint from different points in the stack.

A cluster of papers posted to arXiv on Monday converges on the same economic problem: long-context inference is now dominated by costs that have nothing to do with how many parameters a model has. RBS-Attention targets prefill, the phase wh…
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Part of a tracked trend
The Inference-Cost Efficiency Race
Techniques that cut tokens generated and KV-cache memory per query will keep compressing the marginal cost of serving reasoning models, making inference efficiency a recurring competitive axis alongside raw capability.
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