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Stanford study finds most chatbot users engage deeply rather than seek shortcuts

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Stanford HAI faculty affiliate Diyi Yang and her team analyzed about 250,000 anonymized chatbot conversations. They found most users stay engaged, asking for explanations, working through friction, and refining their work rather than taking shortcuts.

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A common assumption is that people use AI as a shortcut. Stanford HAI Faculty Affiliate @Diyi_Yang and her team analyzed a quarter-million anonymized chatbot conversations and found most users stay engaged, asking for explanations, working through friction, and refining their work: https://hai.stanford.edu/news/humans-and-ai-engage-in-meaningful-collaborations

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