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.
OTOH infinite loop detection is a well known coding issue with well known, freely available solutions, so this approach will only affect the lamest implementations of AI,
an infinite loop detector detects when you’re going round in circles. They can’t detect when you’re going down an infinitely deep acyclic graph, because that, by definition doesn’t have any loops for it to detect. The best they can do is just have a threshold after which they give up.
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.