AlphaGo Zero
Work
by David Silver, Demis Hassabis, Julian Schrittwieser, Karen Simonyan, Aja Huang · 2017
AlphaGo Zero is a version of DeepMind's Go-playing AI that achieved superhuman performance by learning entirely through self-play without human data. It was introduced in the 2017 Nature paper "Mastering the game of Go without human knowledge" and surpassed all previous versions of AlphaGo within 40 days.
2 episodes featuring AlphaGo Zero
Huberman Lab Essentials
Fei-Fei Li explains how spatial intelligence will augment human capability
Understanding the intersection of computer vision and human cognition is essential for building ethical AI tools that enhance, rather than replace, human intelligence and agency.
Aug 10, 2026 · 2h 9m
Huberman Lab Essentials
Brain chemistry calculations dictate how humans learn and make decisions
Understanding the computational roles of dopamine and serotonin reveals the biological mechanics behind human motivation and how we learn from our mistakes.
Feb 2, 2026 · 2h 41m