ARC-AGI-2提升的最恐怖,从前一代的31.1% 到这一代的77.1%。 这里稍微补充一下有关这个Benchmark, 它其实非常考验模型对于抽象知识的推理。每道题给模型若干个示例,模型要从这些示例里归纳找出隐含的规则,然后对新的测试输入,进行回答。 Terminal Bench 2.0的分数也从56.9%提升到了68.5% ,超过了Opus 4.6。 BrowseComp的提升幅度也十分吓人 ...
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