Linda Smith, a pioneer in infant language learning research, joins Michael Frank, an expert in cognitive development from Stanford, to explore how humans and AI learn. They discuss groundbreaking studies using head-mounted cameras to understand infant perception and the importance of social interactions in learning. The conversation highlights the contrast between the rich, multimodal experiences of babies and the data-driven methods of AI. They also challenge the effectiveness of traditional evaluations of language models, questioning their ability to truly understand language like infants do.