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Artificial Intelligence Systems Excel at Imitation, but Not Innovation
While children and adults alike can solve problems by finding novel uses for everyday objects, AI systems often lack the ability to view tools in a new way, researchers explain in this study.
While children and adults alike can solve problems by finding novel uses for everyday objects, AI systems often lack the ability to view tools in a new way, researchers at the University of California, Berkeley concluded. As part of their Perspectives article, Yiu and Eliza Kosoy, along with their doctoral advisor and senior author on the paper, APS Immediate Past President Alison Gopnik, tested how the AI systems’ ability to imitate and innovate differs from that of children and adults. But when the researchers gave several large language models text descriptions of the evidence that the children produced, they struggled to make the same inferences, likely because the answers were not explicitly included in their training data, Yiu and colleagues wrote.
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