
wiki.documentfoundation.org
August 26, 2026
1 min read
48/100
Summary
The Document Foundation’s wiki is using Anubis, a proof-of-work challenge system, to protect its server from aggressive web scraping by AI companies. The site says large-scale scraping can cause downtime and make its resources inaccessible to other users. Anubis uses a proof-of-work scheme modeled on Hashcash, which was proposed to reduce email spam. The system is intended to impose negligible additional computing work on individual visitors while making high-volume scraping more expensive. The site describes Anubis as a temporary measure while work continues on identifying headless browsers, including through signals such as font rendering, so that likely legitimate users may avoid proof-of-work challenges. Anubis requires modern JavaScript features. The site says browser extensions such as JShelter can disable required features and instructs visitors to disable JShelter or similar plugins for the domain.
What the discussion said
The AI-adjacent thread was small but pointed: commenters saw LibreOffice’s distance from the current rush to embed large-language-model features as a selling point, not a gap. One reader reframed the suite as newly relevant for people who want ordinary document and spreadsheet work without feeding sensitive material into vendor-operated AI systems. That concern carries obvious weight for personal records, legal work, and institutional documents, where an assistant feature can also become a data-sharing channel. Another daily professional user made a similarly practical case: LibreOffice’s incremental improvements to Writer and Calc matter more than fashionable AI additions. For that perspective, better formatting compatibility and dependable local desktop workflows beat generative features that do not solve a pressing problem. No commenter argued that LibreOffice needs an LLM integration, nor did anyone claim the project already sends user data to AI providers. The broader thread largely praised the suite’s maturation and discussed spreadsheet quality, compatibility, and office-suite competition, but those are outside the AI-specific debate. The clearest shared conclusion is that privacy-preserving, non-AI productivity software has become a meaningful differentiator rather than merely a legacy limitation.
Community Sentiment
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