An artificial intelligence (AI) model has made a groundbreaking discovery in understanding human language learning by studying headcam recordings from a fraction of a baby's life. The AI, developed by researchers including Wai Keen Vong from New York University, successfully recognized words such as ‘crib’ and ‘ball’. This study highlights a novel approach to AI learning, differing significantly from models like ChatGPT that analyze vast amounts of data, offering insights into the natural language acquisition process in humans.
The research, published in Science on February 1st, challenges existing theories in cognitive science about language learning in children. It suggests that AI can learn language through the association of images and words without the need for pre-programmed knowledge about language. This finding opens up new debates on how children learn and understand language, potentially influencing future developments in AI and cognitive science.
Of course, it also just gave us a nice way to talk about a picture of a baby wearing a go pro.
