An analysis of a chatbot data set by The Washington Post reveals the proprietary, personal, and often offensive websites that go into an AI’s training data.
AI chatbots have exploded in popularity over the past four months, stunning the public with their awesome abilities, from writing sophisticated term papers to holding unnervingly lucid conversations.
The Post worked with researchers at the Allen Institute for AI on this investigation and categorized the websites using data from Similarweb, a web analytics company. About a third of the websites could not be categorized, mostly because they no longer appear on the internet. Those are not shown.We then ranked the remaining 10 million websites based on how many “tokens” appeared from each in the data set.
, which hosts pages for everything from a Judo club in Reading England to a Catholic preschool in New Jersey.was the fifth largest technology site and hosts tens of thousands of blogs under its domain. Our tally includes blogs written on platforms like WordPress, Tumblr, Blogspot and Live Journal. While this kind of blocklist is intended to limit a model’s exposure to racial slurs and obscenities as it’s being
in C4. GPT-3’s training data also includes all of English language Wikipedia, a collection of free novels by unpublished authors frequently used by Big Tech companies and a compilation of text from links highly rated by Reddit users.
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