A 40-Line Python Script Can Detect AI Text, But Its Failures Reveal More Than Its Wins
A developer built a compact 40-line Python AI-text detector using two signals: sentence-length burstiness and repeated n-grams, with AI-generated text typically scoring lower due to uniform structure and repetitive phrasing. The tool works as a quick triage filter but breaks down in three notable ways identified during real-world use. Short texts under roughly 40 words produce unreliable scores, while naturally uniform genres like legal writing or API documentation are wrongly flagged as AI-generated. The detector is also trivially easy to game, as minor edits such as splitting sentences or swapping synonyms can reset the score without improving actual prose quality. The author concludes that such a detector serves only as a smoke test, not a reliable judge of writing quality or human authorship.
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