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Artificiality: Minds Meeting Machines

Helen and Dave Edwards
Artificiality: Minds Meeting Machines
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  • Benjamin Bratton: The Platypus and the Planetary
    In this wide-ranging conversation, we explore the implications of planetary-scale computation with Benjamin Bratton, Director of the Antikythera program at the Berggruen Institute and Professor at UC San Diego. Benjamin describes his interdisciplinary work as appearing like a "platypus" to others—an odd creature combining seemingly incompatible parts that somehow works as a coherent whole.At the heart of our discussion is Benjamin's framework for understanding how computational technology literally evolves, not metaphorically but through the same mechanisms that drive biological evolution: scaffolding, symbiogenesis, niche construction, and what he calls "allopoiesis"—the process by which organisms transform their external environment to capture more energy and information.Key themes we explore:Computational Evolution: How artificial computation has become the primary mechanism for human "allopoietic virtuosity"—our ability to reshape our environment to sustain larger populationsThe Embodiment Question: Moving beyond anthropomorphic assumptions about AI embodiment to imagine synthetic intelligence with radically different spatial capabilities and sensory arrangementsAgentic Multiplication: How the explosion of AI agents (potentially reaching hundreds of billions) will fundamentally alter human agency and subjectivity, creating "parasocial relationships with ourselves"Planetary Intelligence: Understanding Earth itself as having evolved a computational sensory layer through satellites, fiber optic networks, and distributed sensing systemsThe Paradox of Intelligence: Whether complex intelligence is ultimately evolutionarily adaptive, given that our computational enlightenment has revealed our own role in potentially destroying the substrate we depend onBenjamin challenges us to think beyond conventional categories of life, intelligence, and technology, arguing that these distinctions are converging into something more fundamental. As he puts it: "Agency precedes subjectivity"—we've been transforming our world at terraforming scales long before we were conscious of doing so.The conversation culminates in what Benjamin calls "the paradox of intelligence": What are the preconditions necessary to ensure that complex intelligence remains evolutionarily adaptive rather than self-destructive? As he notes, we became aware of our terraforming-scale agency precisely at the moment we discovered it might be destroying the substrate we depend on. It's a question that becomes increasingly urgent as we stand at the threshold of what could be either a viable planetary civilization or civilizational collapse—what Benjamin sees as requiring us to fundamentally rethink "what planetary scale computation is for."About Benjamin Bratton: Benjamin Bratton is a philosopher of technology, Professor of Philosophy of Technology and Speculative Design at UC San Diego, and Director of Antikythera, a think tank researching planetary computation at the Berggruen Institute. Beginning in 2024, he also serves as Visiting Faculty Researcher at Google's Paradigms of Intelligence group, conducting fundamental research on the artificialization of intelligence.His influential book The Stack: On Software and Sovereignty (MIT Press, 2015) develops a comprehensive framework for understanding planetary computation through six modular layers: Earth, Cloud, City, Address, Interface, and User. Other recent works include Accept All Cookies (Berggruen Press), written in conjunction with his co-curation of "The Next Earth: Computation, Crisis, Cosmology" at the 2025 Venice Architecture Biennale, and The Terraforming (Strelka), a manifesto arguing for embracing anthropogenic artificiality to compose a planet sustaining diverse life.
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  • David Wolpert: The Thermodynamics of Meaning
    In this episode, we welcome David Wolpert, a Professor at the Santa Fe Institute renowned for his groundbreaking work across multiple disciplines—from physics and computer science to game theory and complexity. * Note: If you enjoy our podcast conversations, please join us for the Artificiality Summit on October 23-25 in Bend, Oregon for many more in person conversations like these! Learn more about the Summit at www.artificiality.world/summit.We reached out to David to explore the mathematics of meaning—a concept that's becoming crucial as we live more deeply with artificial intelligences. If machines can hold their own mathematical understanding of meaning, how does that reshape our interactions, our shared reality, and even what it means to be human?David takes us on a journey through his paper "Semantic Information, Autonomous Agency and Non-Equilibrium Statistical Physics," co-authored with Artemy Kolchinsky. While mathematically rigorous in its foundation, our conversation explores these complex ideas in accessible terms.At the core of our discussion is a novel framework for understanding meaning itself—not just as a philosophical concept, but as something that can be mathematically formalized. David explains how we can move beyond Claude Shannon's syntactic information theory (which focuses on the transmission of bits) to a deeper understanding of semantic information (what those bits actually mean to an agent).Drawing from Judea Pearl's work on causality, Schrödinger's insights on life, and stochastic thermodynamics, David presents a unified framework where meaning emerges naturally from an agent's drive to persist into the future. This approach provides a mathematical basis for understanding what makes certain information meaningful to living systems—from humans to single cells.Our conversation ventures into:How AI might help us understand meaning in ways we cannot perceive ourselvesWhat a mathematically rigorous definition of meaning could mean for AI alignmentHow contexts shape our understanding of what's meaningfulThe distinction between causal information and mere correlationWe finish by talking about David's current work on a potentially concerning horizon: how distributed AI systems interacting through smart contracts could create scenarios beyond our mathematical ability to predict—a "distributed singularity" that might emerge in as little as five years. We wrote about this work here. For anyone interested in artificial intelligence, complexity science, or the fundamental nature of meaning itself, this conversation offers rich insights from one of today's most innovative interdisciplinary thinkers. About David Wolpert:David Wolpert is a Professor at the Santa Fe Institute and one of the modern era's true polymaths. He received his PhD in physics from UC Santa Barbara but has made seminal contributions across numerous fields. His research spans machine learning (where he formulated the "No Free Lunch" theorems), statistical physics, game theory, distributed intelligence, and the foundations of inference and computation. Before joining SFI, Wolpert held positions at NASA, Stanford, and the Santa Fe Institute as a professor. His work consistently bridges disciplinary boundaries to address fundamental questions about complex systems, computation, and the nature of intelligence.Thanks again to Jonathan Coulton for our music.
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  • Blaise Agüera y Arcas and Michael Levin: The Computational Foundations of Life and Intelligence
    In this remarkable conversation, Michael Levin (Tufts University) and Blaise Agüera y Arcas (Google) examine what happens when biology and computation collide at their foundations. Their recent papers—arriving simultaneously yet from distinct intellectual traditions—illuminate how simple rules generate complex behaviors that challenge our understanding of life, intelligence, and agency.Michael’s "Self-Sorting Algorithm" reveals how minimal computational models demonstrate unexpected problem-solving abilities resembling basal intelligence—where just six lines of deterministic code exhibit dynamic adaptability we typically associate with living systems. Meanwhile, Blaise's "Computational Life" investigates how self-replicating programs emerge spontaneously from random interactions in digital environments, evolving complexity without explicit design or guidance.Their parallel explorations suggest a common thread: information processing underlies both biological and computational systems, forming an endless cycle where information → computation → agency → intelligence → information. This cyclical relationship transcends the traditional boundaries between natural and artificial systems.The conversation unfolds around several interwoven questions:- How does genuine agency emerge from simple rule-following components?- Why might intelligence be more fundamental than life itself?- How do we recognize cognition in systems that operate unlike human intelligence?- What constitutes the difference between patterns and the physical substrates expressing them?- How might symbiosis between humans and synthetic intelligence reshape both?Perhaps most striking is their shared insight that we may already be surrounded by forms of intelligence we're fundamentally blind to—our inherent biases limiting our ability to recognize cognition that doesn't mirror our own. As Michael notes, "We have a lot of mind blindness based on our evolutionary firmware."The timing of their complementary work isn't mere coincidence but reflects a cultural inflection point where our understanding of intelligence is expanding beyond anthropocentric models. Their dialogue offers a conceptual framework for navigating a future where the boundaries between biological and synthetic intelligence continue to dissolve, not as opposing forces but as variations on a universal principle of information processing across different substrates.For anyone interested in the philosophical and practical implications of emergent intelligence—whether in cells, code, or consciousness—this conversation provides intellectual tools for understanding the transformed relationship between humans and technology that lies ahead.Links:Our article on these two papers⁠Michael Levin’s Self-Sorting AlgorithmBlaise Agüera y Arcas’s Computational Life------Do you enjoy our conversations like this one? Then subscribe on your favorite platform, subscribe to our emails (free) at Artificiality.world, and check out the Artificiality Summit—our mind-expanding retreat in Bend, Oregon at Artificiality.world/summit.Thanks again to Jonathan Coulton for our music.
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  • Maggie Jackson: Embracing Uncertainty
    In this episode, we welcome Maggie Jackson, whose latest book, Uncertain, has become essential reading for navigating today’s complex world. Known for her groundbreaking work on attention and distraction, Maggie now turns her focus to uncertainty—not as a problem to be solved, but as a skill to be cultivated. Note: Uncertain won an Artificiality Book Award in 2024—check out our review here: https://www.artificiality.world/artificiality-book-awards-2024/In the interview, we explore the neuroscience of uncertainty, the cultural biases that make us crave certainty, and why our discomfort with the unknown may be holding us back. Maggie unpacks the two core types of uncertainty—what we can’t know and what we don’t yet know—and explains why understanding this distinction is crucial for thinking well in the digital age.Our conversation also explores the implications of AI—as technology increasingly mediates our reality, how do we remain critical thinkers? How do we resist the illusion of certainty in a world of algorithmically generated answersMaggie’s insights challenge us to reframe uncertainty—not as fear, but as an opportunity for discovery, adaptability, and even creativity. If you’ve ever felt overwhelmed by ambiguity or pressured to always have the “right” answer, this episode offers a refreshing perspective on why being uncertain might be one of our greatest human strengths.Links:Maggie: https://www.maggie-jackson.com/Uncertain: https://www.prometheusbooks.com/9781633889194/uncertain/Do you enjoy our conversations like this one? Then subscribe on your favorite platform, subscribe to our emails (free) at Artificiality.world, and check out the Artificiality Summit—our mind-expanding retreat in Bend, Oregon at Artificiality.world/summit.Thanks again to Jonathan Coulton for our music.
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  • Greg Epstein: Tech Agnostic
    In this episode, we talk with Greg Epstein—humanist chaplain at Harvard and MIT, bestselling author, and a leading voice on the intersection of technology, ethics, and belief systems. Greg’s latest book, Tech Agnostic, offers a provocative argument: Silicon Valley isn’t just a powerful industry—it has become the dominant religion of our time. Note: Tech Agnostic won an Artificality Book Award in 2024—check out our review here. In this interview, we explore the deep parallels between big tech and organized religion, from sacred texts and prophets to digital congregations and AI-driven eschatology. The conversation explores digital Puritanism, the "unwitting worshipers" of tech's altars, and the theological implications of AI doomerism.But this isn’t just a critique—it’s a call for a Reformation. Greg lays out a path toward a more humane and ethical future for technology, one that resists unchecked power and prioritizes human values over digital dogma.Join us for a thought-provoking conversation on faith, fear, and the future of being human in an age where technology defines what we believe in.Do you enjoy our conversations like this one? Then subscribe on your favorite platform, subscribe to our emails (free) at Artificiality.world, and check out the Artificiality Summit—our mind-expanding retreat in Bend, Oregon at Artificiality.world/summit.Thanks again to Jonathan Coulton for our music.
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Artificiality was founded in 2019 to help people make sense of artificial intelligence. We are artificial philosophers and meta-researchers. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We publish essays, podcasts, and research on AI including a Pro membership, providing advanced research to leaders with actionable intelligence and insights for applying AI. Learn more at www.artificiality.world.
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