About
Artificial Intelligence is rewriting the rules of technology, society, and even humanity itself. Welcome to "Artificial Intelligence: AI at the Edge," a 100-episode journey through the science, history, ethics, and politics of AI. Each episode is anchored in one of the seminal books that has shaped and defined this revolutionary field. We begin by tracing AI’s evolution, from Alan Turing’s foundational theories and Marvin Minsky’s early machines to the modern breakthroughs in deep learning and reinforcement learning. The series then confronts the complex human side of this technology, exploring its hidden costs, the hype, its incredible promises, and its potential futures. We'll delve into everything from the corporate power struggles shaping the industry to the profound dream, and inherent danger, of a technological singularity. Our discussions will equip you with a comprehensive understanding of how we arrived at this moment. Whether you’re a builder, a skeptic, a policymaker, or simply AI-curious, this podcast offers the imagination and insight needed to navigate the technology shaping our century. Think of this as your guided tour through the new canon of artificial intelligence. Join creator Maitt Saiwyer to understand where AI is taking us, and the role we all play at the edge of tomorrow.
Creator
Maitt Saiwyer
host
Reviews
Episodes(3)
Episode 3 - The Biological Roots of AI's Revolution
This episode traces the history of Artificial Intelligence back to its biological and psychological inspirations, focusing on how the mechanics of human learning influenced the development of neural networks. The foundational idea comes from the 20th-century psychologist Donald Hebb, who proposed th
Episode 2 - Cybernetics and AI: Unpacking Wiener's Alarming Foresight on Control, Feedback, and Our Automated Future
This episode dives into the foundational concepts of cybernetics, a field coined by Norbert Wiener in 1948, which studies communication and control in both animals and machines. The core idea of cybernetics is feedback, a mechanism where the results of a past action are fed back into the system to m
Episode 1 - Beyond the Imitation Game: Decoding AI's Evolving Intelligence and Our Future
This episode dives into the complexity of modern Artificial Intelligence, starting with the historical foundation: the Turing Test. Conceived by Alan Turing in 1950, the test aimed to answer the question, "Can machines think?" by proposing an "Imitation Game" where a human judge attempts to distingu