Episode 009: Optimization Pt. 1

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 More Info: Visit us at aiexperience.org Brought to you by ICED(AI) Hosts - Lloyd Danzig, Geoff Johnson