{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"632nm","title":"Where Does Intelligence Live? | Michael Levin on Evolution, AI, and Platonic Space","html":"","width":"100%","height":180,"duration":5294,"description":"What is intelligence, and where does it come from?\nWatch Part 1 here: https://youtu.be/t6EFV2gSSmg?si=VIztbK2CM5Nwj7QA\nIn this episode, Michael Levin, professor of biology at Tufts University, returns to discuss his research into unconventional intelligence, the origins of cognition, and the surprising ways that biological systems solve problems. Building on his work with xenobots and anthrobots, Levin explores how new forms of intelligence can emerge in engineered biological systems and why understanding these systems may require us to rethink the relationship between evolution, learning, and agency.\nWe discuss Levin’s concept of \"Platonic space\": the idea that mathematical truths and other patterns may exist independently of the physical world. Levin proposes that biological organisms, artificial intelligence systems, and engineered machines may act as interfaces through which these patterns can take form. This raises fundamental questions about whether intelligence is something we build, something we discover, or something that becomes accessible when we create the right conditions.\nLevin also describes research showing that gene regulatory networks can exhibit learning behaviors, including habituation, sensitization, and Pavlovian conditioning. These findings suggest that learning and problem-solving may occur at levels of biological organization that are often overlooked. We explore how collective systems can acquire capabilities that no individual component possesses, and how this relates to the concept of causal emergence: the idea that a system can have properties and capacities beyond those of its parts.\nFrom xenobots and bioelectricity to hybrid biological systems and AI, we examine how engineered systems can display unexpected behaviors that challenge conventional explanations based on natural selection alone. Levin discusses the possibility of developing tools to detect, communicate with, and harness unconventional forms of intelligence, as well as...","thumbnail_url":"https://img.transistorcdn.com/GydlQqnUybBqv7mvA947eCIsz_CyOG8rEnboLv3Hs_I/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yOGMz/YTliMThlODIyYzYw/OGVjOWNiZWNlNmQ1/ZmQ0Ni5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}