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 https://zadzmo.org/code/nepenthes/
Quixotic
Feeds fake content to bots and robots.txt-ignoring #LLM scrapers. @marcusb 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 https://codeberg.org/MikeCoats/poison-the-wellms
Django-llm-poison
A django app that poisons content when served to #AI bots. @Fingel https://github.com/Fingel/django-llm-poison
KonterfAI
A model poisoner that generates nonsense content to degenerate LLMs. https://codeberg.org/konterfai/konterfai