New study maps how AI models think and where their reasoning breaks down
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A large analysis of more than 170,000 reasoning traces from open-source reasoning models shows that large language models rely heavily on simple, default strategies when tasks get harder. A new cognitive science framework for categorizing thinking processes makes it easier to see which abilities are missing and when extra reasoning guidance in the prompt actually helps.
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