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Sabot in the Age of AI

Here is a curated list of strategies, offensive methods, and tactics for (algorithmic) sabotage, disruption, and deliberate poisoning.

🔻 iocaine
The deadliest AI poison—iocaine generates garbage rather than slowing crawlers.
🔗 git.madhouse-project.org/alger…

🔻 Nepenthes
A tarpit designed to catch web crawlers, especially those scraping for LLMs. It devours anything that gets too close. @aaron
🔗 zadzmo.org/code/nepenthes/

🔻 Quixotic
Feeds fake content to bots and robots.txt-ignoring #LLM scrapers. @marcusb
🔗 marcusb.org/hacks/quixotic.htm…

🔻 Poison the WeLLMs
A reverse-proxy that serves diassociated-press style reimaginings of your upstream pages, poisoning any LLMs that scrape your content. @mike
🔗 codeberg.org/MikeCoats/poison-…

🔻 Django-llm-poison
A django app that poisons content when served to #AI bots. @Fingel
🔗 github.com/Fingel/django-llm-p…

🔻 KonterfAI
A model poisoner that generates nonsense content to degenerate LLMs.
🔗 codeberg.org/konterfai/konterf…

iocaine > The deadliest poison known to AI. This is a tarpit, modeled after Nepenthes, intended to catch unwelcome web crawlers, but with a slightly different, more aggressive intended usage scenario. The core idea is to configure a reverse proxy to serve content generated by iocaine to AI crawlers, but normal content to every other visitor. This differs from Nepenthes, where the idea is to link to it, and trap crawlers that way. Not with iocaine, where the trap is laid by the reverse proxy. iocaine does not try to slow crawlers. It does not try to waste their time that way - that is left up to the reverse proxy. iocaine is purely about generating garbage.

iocaine

MadHouse Git Repositories
#AI #LLM @Mike Coats 🏴󠁧󠁢󠁳󠁣󠁴󠁿🇪🇺🌍♻️ @Aaron @Fingel @marcusb

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