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
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