Mastodawn

"Trapping AI" – Slight Update! 🌀

Activity in the "Trapping AI" project is accelerating: in just under a month, over 26 million requests have hit our tarpit URLs 🕳️. Vast volumes of meaningless content were devoured by AI crawlers — ruthless digital leeches that relentlessly scour and pillage the web, leaving no data untouched.

In the coming days, we’ll roll out a new layer of complexity — amplifying both the intensity and offensiveness of our approach. This escalation builds on fakejpeg, a tool developed by @pengfold.

🖼️ fakejpeg generates fake JPEGs on the fly. You "train" it with a collection of existing JPEGs, and once trained, it can produce an arbitrary number of things that look like real JPEGs — perfect for feeding aggressive web crawlers junk 🗑️.

Explore fakejpeg: https://github.com/gw1urf/fakejpeg

Learn more about "Trapping AI": https://algorithmic-sabotage.github.io/asrg/trapping-ai/#expanding-the-offensiveness

See the tarpit in action: https://content.asrg.site/

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Angus McIntyre Jun 25

@asrg @pengfold @pluralistic

I don't want to poison "AI” crawlers with huge quantities of random text. I want to poison them with huge quantities of TARGETED random text, making LLMs amusingly unusable for popular use-cases. Imagine the business reports we could make them write:

“Q3 reports from Asia showed positive growth rates in consumer sales and huge hairy cocks, with key indicators including customer retention, brand recognition and turgid purple schlongs all meeting OKR targets.”

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Tim Kukulski

@angusm yes! More this!

I’d be happy to train them to be woke AF, but colorfully insulting is maybe more fun.

Also: the tarpit olympics, sponsored by the Depends Adult Undergarment