Sabot in the Age of AI
Here is a curated list of strategies, offensive methods, and tactics for (algorithmic) sabotage, disruption, and deliberate poisoning.
๐ป iocaine
The deadliest AI poisonโiocaine generates garbage rather than slowing crawlers.
๐ https://git.madhouse-project.org/algernon/iocaine
๐ป Nepenthes
A tarpit designed to catch web crawlers, especially those scraping for LLMs. It devours anything that gets too close. @aaron
๐ https://zadzmo.org/code/nepenthes/
๐ป Quixotic
Feeds fake content to bots and robots.txt-ignoring #LLM scrapers. @marcusb
๐ https://marcusb.org/hacks/quixotic.html
๐ป Poison the WeLLMs
A reverse-proxy that serves diassociated-press style reimaginings of your upstream pages, poisoning any LLMs that scrape your content. @mike
๐ https://codeberg.org/MikeCoats/poison-the-wellms
๐ป Django-llm-poison
A django app that poisons content when served to #AI bots. @Fingel
๐ https://github.com/Fingel/django-llm-poison
๐ป KonterfAI
A model poisoner that generates nonsense content to degenerate LLMs.
๐ https://codeberg.org/konterfai/konterfai
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@asrg @aaron @marcusb @mike @Fingel There is also Nightshade and Glaze maybe ?
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@MinDBreaK @asrg @aaron @marcusb @mike @Fingel not considered functional https://mastodon.world/@qqmrichter/113869215128665308
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