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AI models can identify authors of online text, threatening anonymity for people with published writing

Semafor TechApr 29, 20261 min read
AI models can identify authors of online text, threatening anonymity for people with published writing

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3 Key Points

  1. Claude Opus 4.7 successfully identified tech writer Kelsey Piper as the author of unpublished 150-word writing samples each time it was tested; Semafor's Tom Chivers replicated the finding with a segment of his 2019 book.

  2. Other AI models were less successful than Claude, and Claude could not identify people who lacked published real-name writing — though that limitation may change.

  3. Anonymity may become difficult to maintain: someone posting a detailed anonymous review on a platform like Glassdoor could have the text identified by AI, revealing their identity to companies.

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