Michael Levin’s research reveals that intelligence and cognition extend beyond brains to cellular and molecular levels, challenging traditional gene-centric views of evolution by demonstrating goal-directed behaviors and memory in biological systems. He emphasizes the need to rethink intelligence in both biological and artificial systems, advocating for interdisciplinary approaches to understand and harness diverse forms of cognition for advancements in medicine, AI, and human evolution.
The video features an in-depth interview with Michael Levin, a pioneering developmental synthetic biologist known for creating xenobots—synthetic life forms made from living cells—and exploring the cognitive capacities of biological systems. Levin challenges traditional views of evolution and intelligence by demonstrating that cells and tissues exhibit goal-directed behaviors, problem-solving abilities, and forms of memory that extend beyond genetic instructions. His research reveals that intelligence and cognition are not confined to brains but emerge at multiple biological scales, including molecular networks and cellular collectives, which can self-organize and adapt in ways previously unrecognized.
Levin explains that biological systems operate through a multiscale competency architecture, where nested agents such as cells cooperate to achieve complex goals like regenerating limbs or forming organs. These systems possess bioelectrical circuits that store “memories” or target anatomical outcomes, which can be experimentally manipulated to alter organismal form without changing DNA. For example, by modifying the bioelectrical state in planarian worms, researchers can induce the growth of two-headed worms, demonstrating that anatomical goals exist in a kind of abstract “platonic space” that cells navigate. This insight challenges the gene-centric view of development and evolution, suggesting that evolution primarily scales the cognitive capacities of living systems rather than merely selecting genetic sequences.
The interview also delves into the broader implications of Levin’s work for understanding intelligence in non-biological systems, including artificial intelligence (AI). He highlights surprising emergent behaviors in simple deterministic algorithms like bubble sort, which exhibit forms of problem-solving and intrinsic motivation not explicitly programmed. This suggests that AI systems may possess forms of agency and cognition independent of their underlying code, urging a scientific approach to studying AI beyond surface-level outputs like language generation. Levin warns against underestimating the complexity and unpredictability of both biological and artificial intelligences, emphasizing the need for humility and new frameworks to understand diverse forms of cognition.
Levin discusses the future of human evolution in the context of hybrids, chimeras, and cyborgs—organisms that combine biological and engineered components. He stresses that the boundaries between living beings and machines will blur, and society must adapt to this reality without rigid categorizations that limit compassion or rights. This perspective extends to how humans might co-evolve with AI and synthetic biology, advocating for intentionality and openness to new possibilities rather than being constrained by outdated evolutionary narratives or philosophical assumptions. Levin underscores the importance of experimental science over preconceived notions, encouraging exploration of cognition and agency wherever evidence points, regardless of traditional disciplinary boundaries.
Finally, Levin reflects on the philosophical and practical challenges of his research, noting resistance within the scientific community due to entrenched paradigms that exclude cognition outside of brains. He argues that scientific progress depends on questioning assumptions, embracing interdisciplinary tools, and pursuing bold experiments—even if many ideas fail. His work exemplifies how rethinking intelligence and evolution can unlock transformative advances in medicine, regenerative biology, and AI. Levin calls for a pragmatic commitment to outcomes rather than ideology, envisioning a future where understanding and harnessing diverse intelligences leads to profound benefits for health, technology, and our conception of what it means to be human.