Sabot in the Age of AI

[Gast]

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