Substack推出AI內容檢測功能，由Pangram技術支持，覆蓋文章、筆記、回覆等全場景，幫助讀者辨別人類與AI生成內容。該功能已登陸網頁端和iOS，安卓版近期上線。
Epoch AI研究顯示，主流AI文本檢測器能近乎完美識別普通AI生成內容，但當大語言模型刻意模仿特定作者寫作風格時，準確率明顯下降，科學寫作最難辨別。實驗測試了Pangram、GPTZero和Originality.ai三款工具，採用495篇涵蓋博客、小說、科學的人類原創文本（均創作於ChatGPT問世前），發現風格模仿可有效逃逸檢測。
Pangram研究顯示，生成式AI正淹沒社交媒體：250字以上長帖中四分之一爲AI生成。職場平臺LinkedIn成爲長篇AI垃圾內容重災區。數據源自2026年4至6月對五大平臺逾百萬帖子的監測，揭示AI內容氾濫現狀。
芝加哥大學研究發現，AI文本檢測器性能差異顯著，部分工具準確率高，但有的頻繁誤判，尤其在短文本中失靈。Pangram檢測器以高精度和成本效益表現最佳。研究基於1992篇人類文本和四款主流大模型，覆蓋六類文本類型，揭示檢測器在可靠性和魯棒性方面的不足。
精準檢測ChatGPT等多模型AI生成內容，支持20+語言，準確率超99.98%
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