Google DeepMind@GoogleDeepMind · XAlphaGo十周年之际，DeepMind科学家Thore Graepel与Pushmeet Kohli探讨了从游戏AI到科学发现工具的演进路径。对话回顾了Move 37与Move 78等标志性时刻的技术突破，阐述AlphaGo如何延伸至蛋白质折叠、矩阵乘法优化及算法发现领域。讨论还涉及AI生成发现的验证机制、数学家的协作角色，以及游戏智能对解决复杂科学问题的方法论变革。
What does it take to build AI for scientific discovery？ 🧠
To celebrate 10 years of AlphaGo， @ThoreG and @Pushmeet joined @fryrsquared on our podcast to discuss how mastering games has paved the way for it to help solve more complex problems. ↓
00：00 The AlphaGo match 02：15 Why Go？ 10：58 Lee Sedol vs AlphaGo 14：58 Move 37 20：55 Move 78 24：38 Reaction from the Go community 30：45 Never before seen footage 32：05 AlphaGo to protein folding 34：00 Matrix multiplication 38：00 AlphaGo and algorithmic discovery 41：40 How to verify new discoveries 47：38 Role of mathematicians 51：43 Would we be here without AlphaGo？