In this episode, Lloyd and Geoff delve into the nature of optimization problems in mathematics and their role in Artificial Intelligence. They then discuss the concept of reimagining one's life as a convex optimization problem.
Episode Guide:
- 1:55 - Introduction to Optimization
- 9:02 - The Role of Optimization in AI Systems
- 14:21 - Exploring via Gradient Descent
- 17:53 - Imagining Life as a Convex Optimization Problem
- 21:58 - The Parameterization of Happiness
- 24:55 - The Fractal Nature of Entropy
- 26:32 - Happiness, Utility, and Attention
- 32:28 - Questioning the Model
- 36:34 - A Discussion on Decision Fatigue
- 39:25 - Properly Scoping the Optimization Problem
- 48:10 - The Utility of the Expected Value Framework
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