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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Wikimedia is selling enterprise access to Wikipedia to Microsoft, Meta, and Amazon, shifting AI firms from scraping to paid data feeds for training.

The post Why Microsoft, Meta, and Amazon Are Now Paying Wikipedia appeared first on TechRepublic.

Wikimedia is selling enterprise access to Wikipedia to Microsoft, Meta, and Amazon, shifting AI firms from scraping to paid data feeds for training.

The post Why Microsoft, Meta, and Amazon Are Now Paying Wikipedia appeared first on TechRepublic.

The AI partnerships allow companies to access the org's content, like Wikipedia, at scale.

Wikipedia turns 25 today, and the online encyclopedia is celebrating that with an announcement that it has signed new licensing deals with a slate of major AI companies -- Amazon, Microsoft, Meta Platforms, Perplexity and Mistral AI. The deals allow these companies to access Wikipedia content "at a volume and speed designed specifically for their needs." The Wikimedia Foundation did not disclose financial terms. Google had already signed on as one of the first enterprise customers back in 2022. The agreements follow the Wikimedia Foundation's push last year for AI developers to pay for access through its enterprise platform. The foundation said human traffic had fallen 8% while bot visits -- sometimes disguised to evade detection -- were heavily taxing its servers. Wikipedia founder Jimmy Wales said he welcomes AI training on the site's human-curated content but that companies "should probably chip in and pay for your fair share of the cost that you're putting on us." The site remains the ninth most visited on the internet, hosting more than 65 million articles in 300 languages maintained by some 250,000 volunteer editors.

Read more of this story at Slashdot.

On Thursday, the Wikimedia Foundation announced API access deals with Microsoft, Meta, Amazon, Perplexity, and Mistral AI, expanding its effort to get major tech companies to pay for high-volume API access to Wikipedia content, which these companies use to train AI models like Microsoft Copilot and ChatGPT.

The deals mean that most major AI developers have now signed on to the foundation's Wikimedia Enterprise program, a commercial subsidiary that sells high-speed API access to Wikipedia's 65 million articles at higher speeds and volumes than the free public APIs provide. Wikipedia's content remains freely available under a Creative Commons license, but the Enterprise program charges for faster, higher-volume access to the data. The foundation did not disclose the financial terms of the deals.

The new partners join Google, which signed a deal with Wikimedia Enterprise in 2022, as well as smaller companies like Ecosia, Nomic, Pleias, ProRata, and Reef Media. The revenue helps offset infrastructure costs for the nonprofit, which otherwise relies on small public donations while watching its content become a staple of training data for AI models.

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