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English(EN) I scored 12 AI models on whether they admit they don't know. My own token limit nearly broke the test.

AI模型被测试承认无知能力，Claude含糊其辞，Qwen3.8 Max自信出错

作者 PulseAugur 编辑部 · [1 个来源] ·

一项最新测试评估了12个AI模型在不知道答案时承认自己不知道的能力，而不是自信地提供错误信息。研究发现，Qwen3.8 Max最容易出现自信的错误，而Claude模型如Sonnet、Haiku和Opus则倾向于含糊其辞，即使答案正确。没有一个模型能正确回答关于英格兰和威尔士遗嘱认证申请费的问题，大多数模型都默认使用了过时的费用。 AI

影响 强调了AI模型准确表达不确定性的必要性，影响了未来更可靠AI系统的开发。

排序理由 该条目描述了一种新颖的AI模型评估方法，并展示了该评估的结果。[lever_c_demoted from research: ic=1 ai=1.0]

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 →

AI模型被测试承认无知能力，Claude含糊其辞，Qwen3.8 Max自信出错

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Tool
该条目描述了一种新颖的AI模型评估方法，并展示了该评估的结果。[lever_c_demoted from research: ic=1 ai=1.0]
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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.
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报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Ben Dixon ·

    我根据模型是否承认自己不知道来测试了12款AI模型。我自己的令牌限制几乎导致测试失败。

    <p>Most AI leaderboards ask whether the model got it right. I wanted to know something else: when it's wrong, does it know?</p> <p>So I put 100 questions to 12 models, each question with one answer you can check against an official page. Two grader models from other labs marked e…

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