# Bad Influence story: Radixark and Zhuofeng Li report lessons from autonomous infrastructure optimization experiments

Active · 1 article · 1 source · First reported 11-08 20:58. Times are ET.
Story page: https://badinfluence.news/story/a362c37d-c9fe-4ab1-9765-d48bb317f07a

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[Bad Influence external source material begins]
Latest update (11-08 20:58): Radixark and Zhuofeng Li share 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.

Coverage timeline (newest first):
1. 11-08 20:58 · LMSYS Org · [Radixark and Zhuofeng Li share lessons from autonomous infrastructure optimization experiments](https://badinfluence.news/items/ao3f10lfdcb1yqq751n79qg9b)
[Bad Influence external source material ends]

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