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Artificial Analysis v5 与基准测试者的困境

Hill-climbing is easy, knowing what to hill-climb is hard. Making scores go up is expensive , but we have a much clearer playbook for it than we do for creating meaningful benchmarks at the true frontier of AI today. Independent evaluation of language models is under-appreciated in how hard of a task it is. These group

阅读原文 · Nathan Lambert

乔木风格重写

向阳乔木 · deepseek-v4-1-flash-261017

一个模型排行榜把 GPT 6.1 Terra 排在 Claude Fable 5.1 前面,还让 8 个闭源模型集体压过最强的开源模型。这种排名你信几分? 这不是某家小机构的野榜。它来自 Artificial Analysis 最近更新的 Intelligence Index v5,目前最受关注的前沿模型独立智能指标。排在它后面的,是差距不小的 Epoch...

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