Radixark and Zhuofeng Li report lessons from autonomous infrastructure optimization experiments
Overview
Chenyang Zhao of RadixArk and Zhuofeng Li of OpenRSI and Google DeepMind share lessons from long-running autonomous experiments on infrastructure optimization, according to a post from LMSYS Org on X. The post says improvements from these experiments have been merged upstream.
It frames infrastructure optimization as a set of verifiable tasks.
Written by AI from the articles below · updated Nov 9, 4:12 PM ET
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LMSYS Org@lmsysorgOfficialRadixark and Zhuofeng Li share lessons from autonomous infrastructure optimization experimentsAIChenyang Zhao of RadixArk and Zhuofeng Li of OpenRSI and Google DeepMind share lessons from long-running autonomous experiments on infrastructure optimization. The post says improvements from these experiments have been merged upstream. The post frames infrastructure optimization as a set of verifiable tasks.

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