AI 导读
Google DeepMind 研究副总裁 Zoubin Ghahramani 与 Hannah Fry 对谈,探讨为何教会 AI 系统"自我怀疑"和概率思维,能让其在真实世界中做出更安全、更可靠的决策。讨论涵盖不确定性的作用、正确性与置信度的区别、贝叶斯思维在 AI 中的应用,以及不确定性研究与 AGI 的未来方向。
正文
From weather forecasting to robotics, intelligent decision-making relies on understanding the unknown.
Our VP Research @ZoubinGhahrama1 explores with @fryrsquared why teaching systems self-doubt and probability can lead to safer, more reliable real-world decision-making. 🧠
Watch the episode ↓
Timecodes:
00:00 Introduction
01:06 The role of uncertainty
07:45 Correctness vs confidence
09:40 Historical perspectives
16:10 Bayesian thinking in AI
26:30 Uncertainty in the real world
36:42 Future research and AGI
来源:@GoogleDeepMind · x.com