Kids outlearn AI—and we still don’t know why
Cognitive scientists are investigating the 'data efficiency gap' between human children and artificial intelligence models. While LLMs require massive amounts of data to achieve fluency, children learn language with significantly less input, suggesting fundamental differences in learning mechanisms.
Why it matters
Understanding how children learn language more efficiently than AI could lead to breakthroughs in more sustainable and effective machine learning architectures.
People have been talking to each other for at least 100,000 years, as best we can tell. And in all that time, there has been only one thing in the world that could learn a human language to perfect fluency: a human child.
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