BI 129 Patryk Laurent: Learning from the Real World

Paul Middlebrooks and Patryk Laurent examine how principles drawn from brains could help artificial intelligence learn from the real world. Laurent connects experience in neuroscience and AI with questions about perception, action, prediction and generalization. The conversation considers learning from continuous video, what embodied robotic systems reveal about intelligence, the relationship between language models and other forms of learning, and which biological details may matter when developing more capable AI.