this post was submitted on 23 Jan 2025
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Developer Creates Infinite Maze That Traps AI Training Bots (www.404media.co)
submitted 1 day ago by [email protected] to c/[email protected]
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A pseudonymous coder has created and released an open source “tar pit” to indefinitely trap AI training web crawlers in an infinitely, randomly-generating series of pages to waste their time and computing power. The program, called Nepenthes after the genus of carnivorous pitcher plants which trap and consume their prey, can be deployed by webpage owners to protect their own content from being scraped or can be deployed “offensively” as a honeypot trap to waste AI companies’ resources.

“It's less like flypaper and more an infinite maze holding a minotaur, except the crawler is the minotaur that cannot get out. The typical web crawler doesn't appear to have a lot of logic. It downloads a URL, and if it sees links to other URLs, it downloads those too. Nepenthes generates random links that always point back to itself - the crawler downloads those new links. Nepenthes happily just returns more and more lists of links pointing back to itself,” Aaron B, the creator of Nepenthes, told 404 Media.

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[–] [email protected] 13 points 1 day ago (3 children)

You could theoretically use the shittiest local llm you can find to dynamically create slop for the piggies

[–] [email protected] 12 points 1 day ago

Say it with me now: model collapse! I think this approach is especially insidious in that rather than dumping obvious nonsense into the training corpus that can then be scrubbed, it pushes the downstream LLM invisibly towards spontaneously imploding.

[–] [email protected] 5 points 1 day ago (1 children)

Just use a Markov chain.

[–] [email protected] 2 points 1 day ago

Pivoting back to blovkchain bb

[–] [email protected] 2 points 1 day ago

Exactly! That’s ideal because LLM or simple pattern matching can’t be used to easily winnow out random strings. If it’s sensible language but the usual LLM hallucinations, then you need humans to curate your data. Fuck you, Sam Altman.