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Wikipedia volunteers spent years cataloging AI tells. Now there's a plugin to avoid them.

✇Ars Technica
By: Benj Edwards

On Saturday, tech entrepreneur Siqi Chen released an open source plugin for Anthropic's Claude Code AI assistant that instructs the AI model to stop writing like an AI model. Called "Humanizer," the simple prompt plugin feeds Claude a list of 24 language and formatting patterns that Wikipedia editors have listed as chatbot giveaways. Chen published the plugin on GitHub, where it has picked up over 1,600 stars as of Monday.

"It's really handy that Wikipedia went and collated a detailed list of 'signs of AI writing,'" Chen wrote on X. "So much so that you can just tell your LLM to... not do that."

The source material is a guide from WikiProject AI Cleanup, a group of Wikipedia editors who have been hunting AI-generated articles since late 2023. French Wikipedia editor Ilyas Lebleu founded the project. The volunteers have tagged over 500 articles for review and, in August 2025, published a formal list of the patterns they kept seeing.

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OpenAI to test ads in ChatGPT as it burns through billions

✇Ars Technica
By: Benj Edwards

On Friday, OpenAI announced it will begin testing advertisements inside the ChatGPT app for some US users in a bid to expand its customer base and diversify revenue. The move represents a reversal for CEO Sam Altman, who in 2024 described advertising in ChatGPT as a "last resort" and expressed concerns that ads could erode user trust, although he did not completely rule out the possibility at the time.

The banner ads will appear in the coming weeks for logged-in users of the free version of ChatGPT as well as the new $8 per month ChatGPT Go plan, which OpenAI also announced Friday is now available worldwide. OpenAI first launched ChatGPT Go in India in August 2025 and has since rolled it out to over 170 countries.

Users paying for the more expensive Plus, Pro, Business, and Enterprise tiers will not see advertisements.

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ChatGPT falls to new data-pilfering attack as a vicious cycle in AI continues

✇Ars Technica
By: Dan Goodin

There’s a well-worn pattern in the development of AI chatbots. Researchers discover a vulnerability and exploit it to do something bad. The platform introduces a guardrail that stops the attack from working. Then, researchers devise a simple tweak that once again imperils chatbot users.

The reason more often than not is that AI is so inherently designed to comply with user requests that the guardrails are reactive and ad hoc, meaning they are built to foreclose a specific attack technique rather than the broader class of vulnerabilities that make it possible. It’s tantamount to putting a new highway guardrail in place in response to a recent crash of a compact car but failing to safeguard larger types of vehicles.

Enter ZombieAgent, son of ShadowLeak

One of the latest examples is a vulnerability recently discovered in ChatGPT. It allowed researchers at Radware to surreptitiously exfiltrate a user's private information. Their attack also allowed for the data to be sent directly from ChatGPT servers, a capability that gave it additional stealth, since there were no signs of breach on user machines, many of which are inside protected enterprises. Further, the exploit planted entries in the long-term memory that the AI assistant stores for the targeted user, giving it persistence.

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