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AI Isn't Smarter Than a Baby—Yet: New Test Reveals Limits of Vision Language Models
Researchers at Meta, Stanford, and other institutions developed EgoBabyVLM, a test comparing vision language models to infant learning. Current VLMs fail when fed realistic baby-camera footage, highlighting the efficiency gap between human and AI learning. The findings suggest that building baby-like AI could reduce costs and improve robot learning.
Jul 15, 2026 1 source