Curious about what this section's content is about? Before diving into the slides for today, take a listen to a AI-generated podcast (created with Google's Notebook LM) of the content shared for this micro-learning section!

Note: Anything referenced as being in the "show notes" will be in the slides in Section 2 "Explore"!

Summary of Big Idea #2: Representation & Reasoning

This source material explains how artificial intelligence (AI) systems represent the world and use this representation for reasoning. The document argues that AI's ability to construct representations using data structures, similar to how humans learn, is crucial for its ability to understand and interpret information, solve problems, and make decisions. The text then explores how this concept applies to the development of map technology, moving from printed maps to written directions, then to AI-powered maps, highlighting the evolution of how AI represents information and uses it to generate increasingly complex and dynamic solutions.