Substack推出AI内容检测功能，由Pangram技术支持，覆盖文章、笔记、回复等全场景，帮助读者辨别人类与AI生成内容。该功能已登陆网页端和iOS，安卓版近期上线。
Epoch AI研究显示，主流AI文本检测器能近乎完美识别普通AI生成内容，但当大语言模型刻意模仿特定作者写作风格时，准确率明显下降，科学写作最难辨别。实验测试了Pangram、GPTZero和Originality.ai三款工具，采用495篇涵盖博客、小说、科学的人类原创文本（均创作于ChatGPT问世前），发现风格模仿可有效逃逸检测。
Pangram研究显示，生成式AI正淹没社交媒体：250字以上长帖中四分之一为AI生成。职场平台LinkedIn成为长篇AI垃圾内容重灾区。数据源自2026年4至6月对五大平台逾百万帖子的监测，揭示AI内容泛滥现状。
芝加哥大学研究发现，AI文本检测器性能差异显著，部分工具准确率高，但有的频繁误判，尤其在短文本中失灵。Pangram检测器以高精度和成本效益表现最佳。研究基于1992篇人类文本和四款主流大模型，覆盖六类文本类型，揭示检测器在可靠性和鲁棒性方面的不足。
精准检测ChatGPT等多模型AI生成内容，支持20+语言，准确率超99.98%
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