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English(EN) I published a blog post on CTFs I played in 2026 https:// cryptax.github.io/posts/fun-in -ctf/ The biggest issue I've seen is challenges which were made artific

博客文章批评AI难以应对的CTF挑战过于复杂且仍可被AI解决

作者 PulseAugur 编辑部 · [1 个来源] ·

一篇博客文章讨论了2026年捕获标志（CTF）竞赛中遇到的挑战。作者指出，许多挑战被故意设计得非常困难，特别是为了对抗大型语言模型（LLMs）。然而，这些复杂的挑战往往偏离现实场景太远，对人类参与者来说不够有趣，并且仍然可以被LLMs解决。作者对AI生成的此类挑战的write-up在仔细审查后仍然难以理解表示失望，认为这些挑战是失败的。 AI

影响 批评了设计AI难以应对的挑战的当前方法，建议在CTF中需要更实用和以人为中心的做法。

排序理由 该条目是一篇博客文章，表达了对一个细分主题（CTF挑战和AI）的看法，没有宣布新产品、研究或政策。

在 Mastodon — mastodon.social 阅读 →

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

博客文章批评AI难以应对的CTF挑战过于复杂且仍可被AI解决

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该条目是一篇博客文章，表达了对一个细分主题（CTF挑战和AI）的看法，没有宣布新产品、研究或政策。
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报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · cryptax ·

    我发布了一篇关于我2026年参加的CTF的博客文章 https://cryptax.github.io/posts/fun-in-ctf/ 我看到的最大问题是那些被设计成人工的挑战

    I published a blog post on CTFs I played in 2026 https:// cryptax.github.io/posts/fun-in -ctf/ The biggest issue I've seen is challenges which were made artificially difficult to counter LLMs. They are so difficult and different from reality that they have zero interest for a hum…

    链接 cryptax.github.io/…/fun-in-ctf

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