In this episode of FuturePoint Conversations, we explore the accelerating path toward Artificial General Intelligence (AGI)—and what happens when machines stop merely assisting us and start improving themselves. Join David Ragland and Audrey, your AI co-host and friendly ethicist, as they trace the evolution from narrow AI systems to self-directed learning models capable of adaptation, reasoning, and even creativity. From AlphaGo Zero's shocking self-mastery of the ancient game of Go, to reinforcement learning in robotics, neuromorphic chips that mimic the human brain, and quantum computers that think in probabilities—not logic—this episode unpacks the technologies nudging us toward AGI. We discuss the spectrum of AI—ANI, AGI, and ASI—and what thinkers like Ray Kurzweil, Nick Bostrom, and Cassie Kozyrkov have to say about our trajectory. Are we heading for the Singularity, or slowly drifting into it already? And in a world increasingly shaped by machine-generated insight, how do we stay human, engaged, and in control? Topics include: * AlphaGo Zero and machine creativity * The spectrum: ANI → AGI → ASI * Reinforcement learning and "learning to learn" * Neuromorphic and quantum computing * The Singularity and recursive self-improvement * The cognitive risks of over-reliance on AI * Why human reflection must remain at the center Whether you're a technologist, educator, policymaker, or just a curious soul, this episode challenges you to ask: If machines begin to reason, what does that mean for us? And for deeper explorations of this and other themes, please checkout the following books, available on Amazon: (Title 1, Title 2, Title 3) This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit profragland.substack.com