The mathematics of AI uncertainty

Long before the current wave of large language models, one academic researcher was trying to give machines a sense of their own limitations. Zoubin Ghahramani has spent the last 30 years pioneering a type of intelligence built on the mathematics of uncertainty. Today, as a professor at Cambridge and VP of research at Google DeepMind, Zoubin finds himself at the heart of an interesting debate: will improving machine uncertainty be one of the missing pieces to ever improving AI? 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 ___ Subscribe to our channel    / @googledeepmind   Find us on X https://x.com/GoogleDeepMind Follow us on Instagram   / googledeepmind   Add us on Linkedin   / deepmind