Learning in Complexity

David emphasizes the necessity of learning within complex environments to achieve optimal performance. He discusses how the decomposition of problems influences the learning objectives, whether it's predicting outcomes or performing actions. The choices made in system design fundamentally shape how an algorithm learns and interacts with its environment.