Episode Details

AI’s history may be a story of brilliant ideas, dead ends, and sudden revivals—and Anil Ananthaswamy explains why that matters now. In this condensed recap of the original Into The Impossible episode, Brian Keating and award-winning science writer Anil Ananthaswamy trace AI from Rosenblatt’s perceptron and the first AI winter to backpropagation, GPUs, and today’s large language models. You’ll learn why data exhaustion, hallucinations, continual learning, neuromorphic chips, spiking neurons, and world models could shape the next wave of artificial intelligence and machine learning. Ananthaswamy also connects machine prediction to neuroscience, brain optimization, and the question of whether machines can ever approach human consciousness. Listen now to get the key ideas in minutes.