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The Verge 报道 AI 数据中心热潮正在加剧亚利桑那州的水资源压力:TSMC 每天消耗近 500 万加仑水后,更大的超大规模数据中心项目引发居民自发的两党联合抵制,争论焦点是芯片与数据中心带来的经济利益是否值得以沙漠中最珍贵的水资源为代价。
Arizona's dwindling water supply from the Colorado River is jeopardizing the expansion of chip manufacturing for AI, affecting companies like TSMC and Intel as they scale production amid drought conditions.
This paper proposes a training-free method to automatically generate fine-grained evaluation rubrics for LLM-as-a-judge without human annotation, and further introduces an iterative fine-tuning strategy for a rubric generator that outperforms larger proprietary models.