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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.
🔗 https://git.madhouse-project.org/algernon/iocaine

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

🔻 Quixotic
Feeds fake content to bots and robots.txt-ignoring #LLM scrapers. @marcusb@mastodon.sdf.org
🔗 https://marcusb.org/hacks/quixotic.html

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

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

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

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