研究者用Claude Code发现AI缩放算法，计算量减少70%

精选理由

AI自己设计算法，省钱又高效

AI 摘要

来自马里兰大学、Google、Meta等机构的研究者使用AutoTTS框架，让Claude Code自主发现AI推理控制算法。该算法相比标准自一致性方法，在保持相同准确率的同时，计算量减少约70%。整个搜索过程仅花费40美元，耗时160分钟。

原文 · Decoder

Researchers let Claude Code discover AI scaling algorithms that humans probably wouldn't have designed

Researchers from UMD, Google, Meta, and other institutions use AutoTTS to let a coding agent independently discover control algorithms for AI reasoning. The algorithm it found cuts compute by about 70 percent compared to standard self-consistency while matching its accuracy. The whole search cost $40 and took 160 minutes. The article Researchers let Claude Code discover AI scaling algorithms that humans probably wouldn't have designed appeared first on The Decoder .

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