Wikipedia Founder Demands AI Companies Pay for Training Data

Key Takeaways

  • Wikipedia co-founder Jimmy Wales demands AI companies pay for using its content to train LLMs.
  • AI bot traffic is imposing significant infrastructure costs on the non-profit platform.
  • Wales argues it’s unfair to use donor funds to support for-profit tech giants.

Wikipedia co-founder Jimmy Wales has called on major AI firms like Google and OpenAI to compensate the platform for using its content to train their large language models. He argues the current arrangement unfairly burdens Wikipedia’s donors with infrastructure costs generated by AI companies.

During an interview with Reuters, Wales revealed that Wikipedia content forms a massive part of training data for all major LLMs. While the content remains freely licensed, the technical costs of serving AI bots are becoming unsustainable.

“Yeah we’re a big part of the training data for all the major LLMs. Everything in Wikipedia is freely licensed for people to do as they please with it,” Wales told the news agency, adding, “We do see that on a more practical level, the AI bots crawling Wikipedia are imposing quite a lot of costs on us.”

Financial Strain on Non-Profit

Wales explained that Wikipedia, being entirely donor-funded, cannot reasonably spend public donations to support the infrastructure demands of profitable tech corporations.

“We’re trying to say, you should use our enterprise product and pay us for your usage,” Wales said.

He emphasized the fundamental unfairness of the situation, where donor money intended to support free knowledge ends up subsidizing commercial AI development.

“It’s not really fair to our donors if people are donating to support Wikipedia, but then we’re spending our money to support OpenAI and Google and stuff like that,” he added.

Complex Decision Ahead

When questioned about simply blocking AI companies’ access, Wales acknowledged it remains a possibility but described it as a complex decision. “I’ve heard some rumblings,” he noted, suggesting the Wikipedia community is actively discussing potential solutions to this growing challenge.

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