Introduction to AI and Simulation Theory

How close are we to creating machines that think like us, or even simulating entire realities? This course introduces you to the core concepts of artificial intelligence, cognitive modeling, and the computational limits of modern technology. You will transition from a curious observer to a knowledgeable enthusiast who understands how AI processes information and what it takes to build simulated systems. What you'll learn: * Understand the foundational history and core definitions of artificial intelligence * Explore how neural networks mimic human cognitive processes and decision-making * Analyze the growth of computational power and the physical limits of hardware * Examine the philosophical and scientific arguments behind the simulation hypothesis * Evaluate modern AI applications, including generative models and basic machine learning workflows * Discuss the ethical and societal implications of superintelligence The course starts with key terminology and foundational concepts before moving on to computational models, future trajectories of technology, and the theoretical frameworks of simulated universes. It is designed for complete beginners with no prior programming or scientific background who want to understand the future of AI. Start reading today to explore the intersection of human intelligence, computing power, and the limits of reality.