- Developers
- Understand the foundational AI techniques like reinforcement learning that enabled breakthroughs in complex games and scientific problems.
- Business
- Learn how AI's ability to solve complex challenges, demonstrated by AlphaGo, drives innovation in scientific discovery and research.
- Everyday users
- Discover how AI, starting with games like Go, has evolved to tackle major scientific challenges and shape our technological future.
This episode features key researchers reflecting on a landmark AI achievement and its lasting impact on the field.
10 Years of AlphaGo: The Turning Point for AI | Thore Graepel & Pushmeet Kohli
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Google DeepMind's podcast features Thore Graepel and Pushmeet Kohli discussing the 10-year anniversary of AlphaGo's victory over Go champion Lee Sedol. They explore how this event, which used reinforcement learning, marked a turning point for AI. The conversation covers AlphaGo's legacy and its foundational role in advancing AI for scientific challenges, from algorithmic discovery to protein folding.
Ten years ago, an AI called AlphaGo beat a human Go champion. This episode explains how that game changed AI forever. It shows how that AI's methods now help solve big science problems.
This episode offers a retrospective on AlphaGo's impact, a pivotal moment in AI history. Listeners will learn about the technical underpinnings and the broader implications of this breakthrough. It's relevant for anyone tracking AI's progress, particularly its application in complex problem-solving. The discussion connects directly to current frontier lab efforts in using AI for scientific discovery and advancing model capabilities, showing how foundational research continues to shape the field.
- HostHannah Fry
- GuestThore GraepelAlphaGo team & Distinguished Research Scientist, Google DeepMind
- GuestPushmeet KohliVP, Science, Google DeepMind
- Episode Title: 10 Years of AlphaGo: The Turning Point for AI
- Show: Google DeepMind: The Podcast
- Length: 54 minutes
- Event: AlphaGo defeated 18-time Go world champion Lee Sedol in March 2016.
- AI Technique: Reinforcement learning
Seoul, March 2016. Two players sit hunched over a 19x19 grid covered in a sea of black and white stones. They are playing the ancient game of Go - a game of unimaginable complexity long thought impossible for a machine to master. On one side is Lee Sedol (Sae Dol), a legendary 18-time Go world champion. On the other, AlphaGo, a neural network based AI system built on a powerful technique called reinforcement learning. In the blink of an eye, the world changed. Exactly one decade later, we look back at the match that sparked the modern AI revolution. From algorithmic discovery to the solving of scientific grand challenges like protein folding, the foundation was laid right there on that wooden board.
Join Hannah Fry, Pushmeet Kohli (VP, Science) and Thore Graepel (AlphaGo team & Distinguished Research Scientist) as they unpick the legacy of AlphaGo.
🎥 AlphaGo https://youtu.be/WXuK6gekU1Y
🎥 The Thinking Game: https://youtu.be/d95J8yzvjbQ
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- reinforcement learning
- Pushmeet Kohli & Thore Graepel
- A way for AI to learn by trying things and getting rewards or penalties, like training a pet.
- neural network
- Pushmeet Kohli & Thore Graepel
- A type of AI inspired by the human brain that can learn patterns from data.
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Questions people ask
- What is AlphaGo?
- AlphaGo is a neural network based AI system that mastered the ancient game of Go using reinforcement learning.
- Why was the AlphaGo match significant?
- The 2016 match against Go champion Lee Sedol is considered a turning point that sparked the modern AI revolution and laid foundations for scientific advancements.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Hannah Fry.






