OpenAI’s large language models (LLMs) are trained on a vast array of datasets, pulling information from the internet’s dustiest and cobweb-covered corners.
But what if such a model were to crawl through the dark web — the internet’s seedy underbelly where you can host a site without your identity being public or even available to law enforcement — instead? A team of South Korean researchers did just that, creating an AI model dubbed DarkBERT to index some of the sketchiest domains on the internet.
It’s a fascinating glimpse into some of the murkiest corners of the World Wide Web, which have become synonymous with illegal and malicious activities from the sharing of leaked data to the sale of hard drugs.
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