Kids outlearn AI—and we still don’t know why

Large language models (LLMs, AI systems trained on vast amounts of text to understand and generate human language) require vastly more data than children to learn language, despite children achieving fluency more efficiently. Researchers call this difference the data efficiency gap and are studying how children learn language to potentially create more efficient AI models and answer fundamental questions about how human minds develop.