Many people find AI-based chatbots helpful in keeping up with news, but a study by Pattie Maes and her colleagues at the MIT Media Lab points to a big problem with this strategy. Participants who evaluated paired news headlines and images over the course of four weeks were initially 21% percent more accurate at telling fake news from real when aided by a chatbot—but by week four, they’d become 15% worse at identifying fake news without AI than they were before (though roughly a quarter of them reported feeling better at it). The result reflects an “AI dependency paradox” that has been observed in other domains, including medicine.
The researchers also found, however, that certain AI styles were associated with stronger independent performance later on, even if they slowed people down at first. A new technique has let the company probe deeper than ever into the weird workings of an LLM. Some donor-conceived people are finding hundreds of siblings.
An international cap on donations could help prevent that. AI doesn’t just learn stereotypes from its training. It can cook up new ones, too.
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