Evolution from Physics to AI

The guest discusses his transition from a background in theoretical physics to a career in artificial intelligence. He initially aimed to tackle significant scientific problems, but he realized that the most impactful breakthroughs had occurred long ago in physics. This realization led him to explore emerging fields, particularly after witnessing the advancements in deep learning and the success of AlphaGo, an AI system that defeated a world champion in Go. This pivotal moment inspired him to pursue a postdoctoral position in reinforcement learning and ultimately work at DeepMind, where he focused on AI development.