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A new benchmark test, EgoBabyVLM, challenges AI vision-language models to learn from video footage captured from baby head-cameras, revealing that current AI models fail to match the learning efficiency of infants and suggesting that baby-like learning architectures could lead to more efficient AI.
A landmark study finds that screen time for babies and toddlers under two can cause long-term developmental harm, leading researchers to call for revised official guidance and a baby screen-time risk assessment.