Attached: 1 image 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@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