Morning Edition · Wednesday, August 12, 2026Published at 2:11 AM EDT · New York
CurveFP proposes a codebook family whose products stay inside the format, targeting the error that microscaling four-bit types introduce during multiplication rather than during rounding.

A preprint posted to arXiv, CurveFP, makes an argument that most quantization work has sidestepped. Low-precision datatypes are usually designed to minimize the error in representing a single number, while the arithmetic error that arises w…
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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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