Children Learn Language Far More Efficiently Than AI Models, Studies Show

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Read onMIT Technology Review· 19 min
Research indicates that children and infants acquire language fluently using significantly less data than large language models, which need massive datasets to reach comparable proficiency. This efficiency gap highlights differences in learning mechanisms and suggests potential avenues for improving AI and understanding human cognition.

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