In this foundational episode of How AI Works, host Daniel Cole explores the essential question: what is artificial intelligence really? From Alan Turing's groundbreaking work in the 1950s to today's sophisticated machine learning systems, we trace the evolution of AI and break down key concepts like narrow AI, machine learning, and deep learning. Daniel explains how modern AI systems process massive datasets to recognize patterns, understand language, and make decisions, while clarifying the important distinction between current AI capabilities and true human-like understanding. The episode covers natural language processing, computer vision, and the three pillars driving today's AI revolution: big data, powerful computing, and advanced algorithms. Perfect for newcomers to AI, this episode provides essential context for understanding how artificial intelligence works in everything from smartphone assistants to recommendation systems. Whether you're curious about the technology shaping our daily lives or want to understand the foundations of machine intelligence, this episode offers clear, accessible explanations of complex concepts. Join us as we demystify artificial intelligence and explore what makes these remarkable systems tick, setting the stage for deeper dives into specific AI technologies and applications in future episodes.