8 LLMs Trained on One Baby's First 1,000 Days of Heard Speech Mimic Child Language Acquisition

abenitezburraco · x · 2026-11-06

Researchers trained 8 LLMs not on massive text corpora but on the words actually heard by 8 children during their first 1,000 days of life, based on ultra-dense home recordings of everyday speech.

Main findings:

Input density is critical to learning;
Nightly replay (analogous to sleep consolidation) is equally important;
LLMs mimic individual language acquisition: model lexicon growth trajectories align closely with the child's S-curve of vocabulary growth.

The work offers empirical evidence for the "AI learns language like a baby" research direction and has implications for studying human language acquisition mechanisms.

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8 LLMs Trained on One Baby's First 1,000 Days of Heard Speech Mimic Child Language Acquisition

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