Is There a Risk-Reward Trade-Off?

Ken Stanley and Jim talk about his wide-ranging book Why Greatness Cannot Be Planned: The Myth of the Objective... Ken Stanley and Jim talk about his wide-ranging book Why Greatness Cannot Be Planned: The Myth of the Objective. They cover the no free lunch theorem, exploitations vs exploration, the myth & issues of objectives, the room of all images & adjacent possible, the problems & dynamics of deception, the power of serendipity, gradients of interestingness, intuition & novelty search, social change & innovation, emergent education & AI insights, incrementalism, risk & reward, Ken's unique journal idea, and much more. Episode Transcript Ken's Site Why Greatness Cannot Be Planned: The Myth of the Objective JRS: EP25 Gary Marcus on Rebooting AI Ken Stanley leads a research team at OpenAI on the challenge of open-endedness. He was previously Charles Millican Professor of Computer Science at the University of Central Florida and was also a co-founder of Geometric Intelligence Inc., which was acquired by Uber to create Uber AI Labs, where he was head of Core AI research.  He received a B.S.E. from the University of Pennsylvania in 1997 and received a Ph.D. in 2004 from the University of Texas at Austin. He is an inventor of the Neuroevolution of Augmenting Topologies (NEAT), HyperNEAT, novelty search, and POET algorithms, as well as the CPPN representation, among many others.