AlphaGo 十周年：从棋盘到科学突破，迈向 AGI
原标题：From games to biology and beyond: 10 years of AlphaGo’s impact
AI 摘要
Google DeepMind 在 AlphaGo 战胜人类十周年之际，回顾了其影响：AlphaGo 的技术启发了 AlphaFold 解决蛋白质折叠问题，并获诺贝尔化学奖；AlphaProof 和 AlphaGeometry 2 在数学推理上达到国际数学奥林匹克银牌水平；AlphaEvolve 发现更高效的矩阵乘法算法；AI 协同科学家在抗菌素耐药性研究中独立得出假设。DeepMind 认为结合 Gemini 的世界模型、AlphaGo 的搜索规划技术和专用工具使用是实现 AGI 的关键。
正文节选
Catalyzing breakthroughs in science By proving it could navigate the massive search space of a Go board, AlphaGo demonstrated the potential for AI to help us better understand the vast complexities of the physical world. We started by attempting to solve the protein folding problem, a 50-year grand challenge of predicting the 3D structure of proteins - information that is crucial for understanding diseases and developing new drugs. In 2020, we finally cracked this longstanding scientific problem