Artificial Intelligence
Artificial intelligence has transformed how Go is studied, played, and understood. These conversations go behind the technology, from the development of influential Go engines to the challenge of using AI to help human players learn.
Explore the Episodes
Ben Teuber AI Sensei Interview, Ding Hao & AI with Gazza & Losing Streaks/Winning with TelegraphGo
Season 3, Episode 8
AI Sensei co-founder Benjamin Teuber explains the platform’s origins and the role AI can play in Go improvement. Gazza White also considers how AI has affected professional playing styles.
▶ Benjamin Teuber and AI Sensei: Listen from 1:28
▶ Ding Hao and AI with Gazza White: Listen from 47:24
David Wu KataGo Interview & IRL Habits with TelegraphGo
Season 3, Episode 9
KataGo creator David Wu explains the development of one of Go’s most influential AI systems and how neural networks, search, and self-play work together. He also discusses KataGo’s strengths, limitations, and ongoing research.
▶ David Wu and KataGo: Listen from 1:26
Why Creating a Great AI Go Teacher Isn’t So Easy with Professor Marius Lindhauer
Season 4, Episode 9
Professor Marius Lindhauer explores why an AI that plays Go brilliantly is not automatically a good teacher. The conversation considers human-centered AI, understandable recommendations, and what more effective teaching tools might look like.
Crazy Stone’s Rémi Coulom & a Follow-up Conversation with Anthropologist/Former Insei Chimin Oh 8d
Season 5, Episode 6
Rémi Coulom looks back on the creation of Crazy Stone, the development of Monte Carlo Tree Search, and his work on Kifu Snap. Anthropologist and former Korean insei Chimin Oh then explores how AI has changed Korea’s Go community and what human expertise still offers.