GoKawiilCognitive scientists probe why children learn language with far less data than AI models
Researchers highlight a stark 'data efficiency gap': large language models require orders of magnitude more text than a human child hears to master language basics. Stanford's Michael Frank and Georgetown's Ethan Wilcox note that while frontier models train on trillions of tokens, children pick up language fundamentals from a fraction of that input within their first year or two of life. Scientists are studying how kids achieve this to both understand human cognition and potentially inform more efficient AI training methods.
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AI's reliance on ever-larger datasets faces a looming ceiling as usable internet text may be exhausted by the 2030s, making data efficiency a critical bottleneck for future progress. Understanding how children learn so efficiently could inspire new training paradigms that reduce AI's dependence on massive data and compute, with implications for both cost and sustainability of AI development.
- LLMs need vastly more text data than children to learn language, sometimes by a factor of 100,000.
- The 'data efficiency gap' is prompting cognitive scientists to study human language acquisition for AI insights.
- Available internet training data may run out within a decade, making efficient learning methods urgent for AI's future.
The Language Instinct" by Steven Pinker — If this article's puzzle about how toddlers master language from so little input hooked you, Pinker's classic is the perfect deep dive into how the human mind acquires grammar and words. It's an accessible, entertaining read that gives real grounding to the child-versus-LLM comparison cognitive scientists are still wrestling with.
See The Language Instinct" by Steven Pinker on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: technologyreview.com — Elise Cutts, 2026-08-24
Published there as: “Kids outlearn AI—and we still don’t know why”
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