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English(EN) Solving Rubix with text based reasoning models

OpenAI的GPT-5.6 Sol通过文本推理解决魔方

一位用户演示了OpenAI的前沿语言模型GPT-5.6 Sol仅通过文本推理即可解决魔方。该模型在750秒内成功解开了魔方,没有依赖外部求解器或程序模拟器,这表明大型语言模型在空间推理和长时程状态跟踪方面取得了重大进展。这一成就挑战了此前显示领先大型语言模型在此类任务上通过率为0%的基准,凸显了AI能力的快速发展。 AI

影响 证明了大型语言模型现在可以处理复杂空间推理和长时程状态跟踪,可能影响需要此类能力的领域。

排序理由 前沿大型语言模型展示了特定能力(解决魔方),挑战了先前的基准。 [lever_c_demoted from research: ic=1 ai=1.0]

在 r/OpenAI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

OpenAI的GPT-5.6 Sol通过文本推理解决魔方

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10 / 100
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Tool
前沿大型语言模型展示了特定能力(解决魔方),挑战了先前的基准。 [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
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High
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Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准

报道来源 [1]

  1. r/OpenAI TIER_2 English(EN) · /u/Willing_Plate_5417 ·

    使用基于文本的推理模型解决魔方

    <!-- SC_OFF --><div class="md"><p>A few months ago, CubeBench reported something pretty striking: leading LLMs achieved a <strong>0.00% pass rate on its long-horizon Rubik’s Cube tasks</strong>.</p> <p>The paper used the cube as a test of exactly the things language models were t…