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English(EN) Tsinghua and Zhejiang University researchers have built an Algebraic World Model, an agent that plays ARC-AGI-3 puzzles and can formally prove a level cannot be

AI 智能体证明 ARC-AGI-3 谜题无解，表现优于 Claude 和 GPT

作者 PulseAugur 编辑部 · [1 个来源] ·

清华大学和浙江大学的研究人员开发了代数世界模型（AWM），该模型能够解决 ARC-AGI-3 谜题。这个在 Lean 4 中形式化的智能体还可以正式证明某个谜题关卡是无解的。在测试中，AWM 证明了 ARC-AGI-3 的所有六个密封关卡都无法获胜，而 Claude Opus 5.5 和 GPT-6 Astra 在 12 次运行中均未能实现这一目标。 AI

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排序理由 该集群描述了一个新的 AI 智能体及其在特定基准上的表现，属于研究范畴。[lever_c_demoted from research: ic=1 ai=1.0]

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AI 智能体证明 ARC-AGI-3 谜题无解，表现优于 Claude 和 GPT

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该集群描述了一个新的 AI 智能体及其在特定基准上的表现，属于研究范畴。[lever_c_demoted from research: ic=1 ai=1.0]
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  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Tsinghua and Zhejiang University researchers have built an Algebraic World Model, an agent that plays ARC-AGI-3 puzzles and can formally prove a level cannot be

    Tsinghua and Zhejiang University researchers have built an Algebraic World Model, an agent that plays ARC-AGI-3 puzzles and can formally prove a level cannot be won. Formalised in Lean 4, it proved all six sealed levels unwinnable, where 12 runs of Claude Opus 5.5 and GPT-6 Astra…

    链接 pandaily.com/tsinghua-algebraic-world-mod…

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