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English(EN) I Tested 6 Popular LLMs on the Same Chess Puzzle. Only One Solved It.

Grok 解决了 ChatGPT、Gemini、Claude 都失败的国际象棋谜题

一位 SEO 专家进行了一项实验,测试了六款热门大型语言模型在国际象棋谜题上的推理能力。该谜题要求在两步内将死,并以文本坐标的形式呈现。只有 Grok 能够正确解决该谜题,找出正确的先手和后续走法。GeminiChatGPT 等其他模型也很接近,找到了正确的先手但未能计算出第二步,而 ClaudeMicrosoft Copilot 则走错了先手,DeepSeek 生成了非法走法。 AI

影响 突显了即使是先进模型,LLM 在结构化推理和战略规划能力方面也存在当前的局限性。

排序理由 该项目测试了现有 LLM 在特定任务上的能力,而不是发布新模型或重要研究。

在 dev.to — LLM tag 阅读 →

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

Grok 解决了 ChatGPT、Gemini、Claude 都失败的国际象棋谜题

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Tool
该项目测试了现有 LLM 在特定任务上的能力,而不是发布新模型或重要研究。
Source corroboration
Single-source cluster
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
product, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
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High
Clearly on-topic for AI-industry coverage.
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57 days old
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  1. dev.to — LLM tag TIER_1 English(EN) · SEO-Zhuk ·

    我用同一个国际象棋谜题测试了6款热门LLM。只有一款解出来了。

    <p>A few years ago, shortly after ChatGPT became publicly available, I asked it to solve a simple chess puzzle.</p> <p>It failed.</p> <p>Back then I wasn't particularly surprised. Large Language Models were still in their infancy, and everyone was discovering what they could—and …