WEDNESDAY, OCTOBER 7, 2026|No. 17810
Technology · AI

OpenAI Advances AI in Mathematics and Navigates EU Regulations with Watermarking

OpenAI is making significant strides in solving complex mathematical problems and is implementing AI output watermarking in the EU to comply with new regulations, while also facing scrutiny over teen AI applications.

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An abstract representation of artificial intelligence and data streams.
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OpenAI will begin automatically watermarking text generated with ChatGPT in the European Union, the company has announced. It will also offer the watermarking feature in other regions, but it will be off by default outside of the EU.

The move in Europe is driven by a need to comply with the EU AI Act, which took effect in August. It requires marking content produced by AI models in a way that another tool can detect. Unfortunately, there is still no completely effective and reliable way to do that. A few standards already exist, like SynthID and the C2PA project, but they are relatively easy to circumvent for anyone with basic know-how.

The same is likely true for OpenAI’s watermark. Its method is proprietary; the company calls it textGrain, and has published a technical paper explaining how it works. But in general, it works like other LLM watermarking tools we’ve seen in the past: It puts patterns in the word choices that are not clear to a human reader, and that don’t meaningfully change the general quality of the output, but that someone with a key can use a specialized detector to find. OpenAI says it will be giving access to the detector to a limited number of researchers and organizations, and providing a request-for-approval process for others to be added over time.

While the best case OpenAI’s tests of textGrain show a respectable but not entirely reliable 92 percent successful detection rate, the company’s tests also show that changing just 10 percent of the text in an output reduces the successful detection rate by almost 30 percent, and changing 20 percent of the text can lower the success rate by almost 75 percent. (Also worth noting that in general, the success rate is lower for shorter or translated text than for longer text.) All this is roughly in line with what we’ve seen with other, similar watermarking solutions in the past.

In August, OpenAI competitor Anthropic also introduced watermarking for text generated by its models—but Anthropic has enabled it globally, while OpenAI is currently only making it the default where regulators require it—at least in the ChatGPT and Codex apps. It will remain off but optionally available in the API, it seems.

The new watermarking will roll out to users in the EU “in the coming weeks,” the company says.

Samuel Axon Senior Editor

Samuel Axon is the editorial lead for tech and gaming coverage at Ars Technica. He covers physical and generative AI, large language models, software development, gaming, entertainment, and mixed reality. He has been writing about gaming and technology for nearly two decades at Engadget, PC World, Mashable, Vice, Polygon, Wired, and others. He previously ran a marketing and PR agency in the gaming industry, led editorial for the TV network CBS, and worked on social media marketing strategy for Samsung Mobile at the creative agency SPCSHP. He also is an independent software and game developer for iOS, Windows, and other platforms, and he is a graduate of DePaul University, where he studied interactive media and software development.

PAN's pipeline reviewed approximately 4 open sources for this article. No human editor reviewed this article before publication.

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