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Artificial intelligence

OpenAI brings text watermarks to EU users, with explicit limits on detection

OpenAI plans watermarks for eligible EU ChatGPT and Codex text over coming weeks; detecting a mark cannot establish authorship or accuracy.

175 words · 1 min

OpenAI announced an EU rollout of textGrain for eligible ChatGPT and Codex output across plans.

Selected API models can use it worldwide by opt-in; it is off by default there. Access to the text detector initially requires approval. [1]

The mark lives in statistical word choices, rather than hidden characters. During generation, a secret key influences which plausible tokens are selected. A matching detector looks for that pattern across a passage. Short or tightly constrained text offers fewer choices from which to recover a signal. [2][3]

OpenAI’s editing test shows why a negative result needs care: detection fell from about 92% to 66% and then 17% as increasing shares of words were replaced. These are controlled company tests, not a universal measure of whether a person wrote a document. [1]

For editors and teachers, our recommendation is to retain drafts, sources and an account of the writing process. A detector result can prompt inquiry; it cannot fairly substitute for that evidence. OpenAI says a watermark identifies neither the user nor how much human judgment went into the text. [1]

Sources & details 4 sources
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Revised 9 October 2026. Copy edited 9 October to remove commentary about graphic design; reported claims, qualifications and source dates preserved.

Reporting sources

  1. OpenAI · October 5 rollout and evaluation

    Original post reopened successfully after the barrier; scope, opt-in, restricted detector and approximately 92/66/17% editing-test results.

  2. OpenAI · Provenance help documentation

    Original documentation distinguishes statistical word choice from hidden characters, restricted text detection from public image/audio verification, and limitations for short or constrained text.

  3. OpenAI and university authors · textGrain technical report

    October 5 report, pages 1–6: keyed token sampling, entropy budget, detection assumptions and empirical calibration limits. Mathematical account, not independent evaluation.

  4. Nemecek, Chaudhary and Ayday · Independent preprint

    September 9 original research: governance and verifiability critique using open implementations; does not evaluate textGrain.

Images & figures

  • OpenAI’s synonym-replacement experiment; approximately 92%, 66% and 17% detected, with 0%, 10% and 25% of words replaced. Each bar starts at zero. These company-reported results are neither a real-world editing forecast nor an authorship verdict.

    Euangelion · original explanatory graphic · Source · Usage terms