Episode 96: Kenneth Stanley on the Pursuit of What’s Interesting

Here we interview AI researcher Kenneth Stanley, who makes the case that in complex systems, pursing specific objectives can actually be counterproductive. Instead, whether in machine learning, business, science, education, or art, we should pursue what is interesting. It is in this search for novelty—fueled by curiosity—where innovation and open-ended knowledge creation occurs. Get Ken's book! Why Greatness Cannot Be Planned: The Myth of the Objective Also: Can Bruce find a counter example to Ken's thesis? How does one 'detect novelty' using an algorithm? Is creativity really a search algorithm?

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A podcast that explores the unseen and surprising connections between nearly everything, with special emphasis on intelligence and the search for Artificial General Intelligence (AGI) through the lens of Karl Popper's Theory of Knowledge. David Deutsch argued that Quantum Mechanics, Darwinian Evolution, Karl Popper's Theory of Knowledge, and Computational Theory (aka "The Four Strands") represent an early 'theory of everything' be it science, philosophy, computation, religion, politics, or art. So we explore everything. Support us on Patreon: https://www.patreon.com/brucenielson/membership