Building on an anti-spam cybersecurity tactic known as tarpitting, he created Nepenthes, malicious software named after a carnivorous plant that will “eat just about anything that finds its way inside.”
Aaron clearly warns users that Nepenthes is aggressive malware. It’s not to be deployed by site owners uncomfortable with trapping AI crawlers and sending them down an “infinite maze” of static files with no exit links, where they “get stuck” and “thrash around” for months, he tells users. Once trapped, the crawlers can be fed gibberish data, aka Markov babble, which is designed to poison AI models. That’s likely an appealing bonus feature for any site owners who, like Aaron, are fed up with paying for AI scraping and just want to watch AI burn.
You can detect pathpoints that come up repeatedly and avoid pursuing them further, which technically aren’t called “infinite loop” detection but I don’t know the correct name. The point is that the software isn’t a Star Trek robot that starts smoking and bricks itself when it hears something illogical.
It can detect cycles. From a quick look at the demo of this tool it (slowly) generates some garbage text after which it places 10 random links. Each of these links loops to a newly generated page. Thus although generating the same link twice will surely happen. The change that all 10 of the links have already been generated before is small
I would simply add links to a list when visited and never revisit any. And that’s just simple web crawler logic, not even AI. Web crawlers that avoid problems like that are beginner/intermediate computer science homework.
They are no loops and repeated links to avoid. Every link leads to a brand new, freshly generated page with another set of brand new, never before seen links. You can go deeper and deeper forever without any loops.
