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SourceHut blocks AI scrapers with new Anubis system

SourceHut, a user-funded open-source platform, has implemented a new system called Anubis to block aggressive AI and LLM scrapers. This initiative is part of an effort to protect user data and privacy, with a whitepaper on the "no AI" stance in development. The platform distinguishes between acceptable data collection, such as for search indexing and archival, and unacceptable uses like AI training and SEO scraping, emphasizing its commitment to user stewardship. AI

IMPACT Sets a precedent for open-source platforms to control data access for AI training.

RANK_REASON New policy/system implemented by a notable open-source platform to block AI scrapers. [lever_c_demoted from significant: ic=1 ai=0.7]

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

SourceHut blocks AI scrapers with new Anubis system

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0 / 100
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Research
New policy/system implemented by a notable open-source platform to block AI scrapers. [lever_c_demoted from significant: ic=1 ai=0.7]
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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policy, other
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
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99 days old
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    New # noai whitepaper in the works; 🛡️ "You cannot have our users' data." SourceHut is blocking aggressive AI/LLM scrapers with a new system named Anubis. Drew

    New # noai whitepaper in the works; 🛡️ "You cannot have our users' data." SourceHut is blocking aggressive AI/LLM scrapers with a new system named Anubis. Drew DeVault states SourceHut is funded by user subs, not data sales, and will never sell out its users or the commons to AI …