The problem is, there was no way of knowing how GPT-4 knew what it knew. "Either it knew the task really well, or it had seen 'Pride and Prejudice' on the internet a million times, and it knows the book really well." "It was so good that it raised red flags in my mind," Bamman says. In fact, it was almost as if it had studied the novel in advance.
The chatbot's GPT-4 version was amazingly accurate about the Bennet family tree. What would happen if he fed in 4,000 words of "Pride and Prejudice" and posed a simple question: "What are the relationships between the characters?" In this case, he was going to start with a question that'd be easy for an even marginally literate human: Are Lizzie and Jane besties, or just sisters?įor kicks, Bamman decided to first try asking ChatGPT.
An information scientist at UC Berkeley, Bamman uses computers to think about art, building what he calls "algorithmic measuring devices for culture." That means extracting data from classic literature about things like, say, the relationships among various characters. It often indicates a user profile.ĭavid Bamman was trying to analyze "Pride and Prejudice" - digitally. Account icon An icon in the shape of a person's head and shoulders.
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