For as long as we have been human, we have dreamed of making minds. This is not a modern fancy born of silicon and code, but an ancient and persistent thread in the tapestry of our imagination. From the golems of folklore to the clockwork automata of the Enlightenment, we have always projected our aspirations for the ultimate tool—one that mirrors, challenges, and perhaps surpasses its creator—onto the artifacts of our own hands. Becoming Conscious is the definitive story of that dream’s collision with reality. It is a narrative history and an intellectual map of a seventy-year quest to answer a single, deceptively simple question first posed by Alan Turing in 1950: "Can machines think?" A Human Story of Ambition and Failure This is not a technical manual. You will not find code or instructions for training a neural network here. Instead, this is a human story about the prophets, pioneers, and programmers who dedicated their lives to the pursuit of artificial intellect. Drawing on computer science, cognitive psychology, neuroscience, philosophy, and economics, the sources provide a "clear-eyed" perspective on the transformative potential and significant limitations of AI. What You Will Discover: The Prophets' Dream: Revisit the 1956 Dartmouth conference, where the field was named and its ambitions set "sky-high" with the belief that human-level intelligence was only a generation away. - The Great Schism: Trace the rivalry between the "Neats"—who sought to codify thought into logic and rules—and the "Scruffies," who believed intelligence must be grown from the ground up through statistical learning. - The Winters of Disillusionment: Explore the "AI Winters," periods where overhyped promises crashed against hard technical limits, leading to collapsed funding and lost faith. - The Quiet Revolution: Learn how the digital "exhaust" of the internet became a data factory and how the video game industry inadvertently built the engine for the current AI boom through the GPU. - From Deep Blue to ChatGPT: Witness the milestones that stunned the world, from AlphaGo’s "Move 37" to the emergence of Large Language Models that blur the line between calculation and comprehension. Grappling with the "Hard Problem" As machines begin to write sonnets, devise strategies, and converse with uncanny fluency, the ancient allure of the artificial mind is no longer speculative—it is the defining question of our age. The sources delve into the Alignment Problem, asking how we can ensure that increasingly powerful systems remain aligned with human intentions and values. Finally, the book confronts the "Hard Problem" of consciousness: Are these machines merely "stochastic parrots" imitating intelligence, or are they manifesting a nascent form of the real thing? The quest to build an artificial mind is, ultimately, a quest to understand our own. Join this seventy-year adventure to discover what the machines tell us about our minds, our society, and our human future.