Theoretical AI Part Two: A Conceptual Toolkit for AI's Building Blocks
AI representation In our first post, titled as Theoretical AI: Democratizing the Understanding of Artificial Intelligence we introduced "Theoretical AI"—a framework for democratizing the understanding of artificial intelligence by focusing on core principles rather than complex implementation. We argued that just as one can grasp the laws of physics without a particle accelerator, one can comprehend AI without a supercomputer. This approach shifts the focus from "How do I build this?" to the more fundamental questions: "Why does this work?" and "What principles govern its behavior?" Now, we will apply this theoretical lens to deconstruct the essential components of the AI landscape. We will move beyond the abstract and build a conceptual toolkit, exploring the foundational ideas that power the systems transforming our world. This journey will take us from the broadest classifications of AI down to the very building blocks of machine intelligenc...