TL;DR: In the last year, the Wikimedia Foundation has fired several union organizers, including those that worked on the Community Tech team - a team dedicated to building features for the volunteer community that edits Wikipedia. As the Wiki Workers Union tries to get the Wikimedia Foundation to recognize their union, it is worth remembering that this is not the first time that the Foundation has worked against the community. Wikimedia Enterprise is a betrayal of the volunteer movement community of Wikipedia editors, as the Wikimedia Foundation is providing privileged access to big tech AI companies to the Wikipedia corpus - a body of work that the Foundation does not own. Movement volunteer communities contributed to Wikipedia under copyleft licenses - licenses that work to ensure that the work remains free (as in speech). The big tech AI companies do not license derivative works under copyleft licenses and often do not even attribute where the works came from. This means that volunteers are working for big tech for free, and the Wikimedia Foundation is selling privileged access to that free labor. It is against that backdrop that the current unionization struggle unfolds.
They couldn't send a Cease and Desist for the server load?
- Send one to whom? A WHOIS of the Brazilian IP that turns out to be a residential proxy? Anonymous scraping for LLMs is a problem all over the Internet without a solution (save Anubis). There's a reason all the big companies have went for Cloudflare instead of any lawsuits, which you'd hear in the news.
- Google has always been correctly attributing Wikipedia content in their info cards before the rise of LLMs and Wikimedia Enterprise has always been made for that purpose. With how much they impact the server load while also being a big driver a traffic, Google clearly needed to be moved off the public infrastructure but it would also be unreasonable to shut them off and starve the site off a big source of contributors. Paying for better service beyond reasonable, individual, volunteer use has been common practice since Red Hat and commercial support, and now Tidelift. See also Grafana and the OpenStreetMap ecosystem.
- They're not even sure if they have the standing; they've looked at that question:
Overall, it is more likely than not if current precedent holds that training systems on copyrighted data will be covered by fair use in the United States, but there is significant uncertainty at time of writing.
—https://meta.wikimedia.org/wiki/Wikilegal/Copyright_Analysis_of_ChatGPT
I didn't know that I had to preemptively defend the Foundation.
well you shouldn't either. I am simply representing the perspective of contributors as a signatory myself, and as a developer who makes API calls to Wikipedia. "Our content is always free to use, but our infrastructure is not" sums it up nicely and Wikimedia Enterprise keeps the free infrastructure good.