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
Confidence and correctness are different quantities, and systems that cannot represent their own uncertainty fail silently; this is the research view on how to make that representation real.
