Pioneering AI researcher Geoffrey Hinton joins Joel Hellermark for a candid, reflective conversation tracing the arc of neural networks, machine intelligence, and the future of AI research. Hinton explores his early inspirations, the creative collaborations that shaped deep learning, and the profound role of intuition and skepticism in scientific progress. The discussion delves into the mechanics of large language models, the promise of multimodal AI, and the parallels between brains and machines. With insight and humility, Hinton weighs the societal impacts, open questions, and the enduring value of curiosity-driven research on the road to human-level intelligence.

Watch the full episode above or read the transcript of their conversation below.