Ancestors

Written by ASRG on 2025-01-21 at 17:00

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

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Toot

Written by Marcos Dione on 2025-01-21 at 20:12

@asrg @aaron @marcusb @mike @Fingel another take that I hope I have time to write:

An app that feeds either static text or a poisoned Markov Chain, but it writes back one byte at a time, and tries to delay the client as much as possible. It would probably would have to have start with a big delay, and every time the client disconnects, it registers the IP and the delay in a db so next time it tries a lower delay until it finds the best delay for each client.

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Descendants

Written by Marcos Dione on 2025-01-21 at 20:20

@asrg @aaron @marcusb @mike @Fingel is there a site where some of the craziest delusions from the original LLMs are recorded? We should feed them that back.

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