Today we’re joined by Risto Miikkulainen, Associate VP of Evolutionary AI at Cognizant AI, and Professor of Computer Science at the UT Austin. Risto joined us back on episode #47 to discuss evolutionary algorithms, and today we do an update of sorts on what is the latest we should know on the topic. In our conversation, we discuss various use cases for evolutionary AI, the relationship between evolutionary algorithms and reinforcement learning, some of the latest approaches to deploying evolutionary models. We also explore his paper “Better Future through AI: Avoiding Pitfalls and Guiding AI Towards its Full Potential,” which details the historical evolution of AI, discussing where things currently stand, and where they might go in the future.  The complete show notes for this episode can be found at twimlai.com/talk/367.