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Indhold leveret af Santa Fe Institute. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Santa Fe Institute eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
The official podcast of the Santa Fe Institute. Subscribe now and be part of the exploration!
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120 episoder
Marker alle som (u)afspillede ...
Manage series 2557101
Indhold leveret af Santa Fe Institute. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Santa Fe Institute eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
The official podcast of the Santa Fe Institute. Subscribe now and be part of the exploration!
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1 Nature of Intelligence, Ep. 6: AI’s changing seasons 44:01
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Guest: Melanie Mitchell, Resident Professor, Santa Fe Institute Hosts: Abha Eli Phoboo Producer: Katherine Moncure Podcast theme music by: Mitch Mignano Follow us on: Twitter • YouTube • Facebook • Instagram • LinkedIn • Bluesky More info: Tutorial: Fundamentals of Machine Learning Lecture: Artificial Intelligence SFI programs: Education Competition: ARC Prize Books: Gödel, Escher, Bach: an Eternal Golden Braid by Douglas Hofstadter Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell Complexity: A Guided Tour by Melanie Mitchell Talks: The Future of Artificial Intelligence by Melanie Mitchell Introduction: AI and the Barrier of Meaning 2 by Melanie Mitchell Conceptual Abstraction and Analogy in Natural and Artificial Intelligence by Melanie Mitchell Papers & Articles: “The metaphors of artificial intelligence,” in Science (November 14, 2024), doi: 10.1126/science.adt6140 “Using counterfactual tasks to evaluate the generality of analogical reasoning in Large Language Models,” in arXiv (February 14, 2024), doi.org/10.48550/arXiv.2402.08955 “Comparing humans, GPT-4, and GPT-4V on abstraction and reasoning tasks, ” ( Proceedings of the LLM-CP Workshop, AAAI 2024 ), arXiv (December 11, 2023), doi.org/10.48550/arXiv.2311.09247 “The debate over understanding in AI’s large language models,” in PNAS (March 21, 2023), doi.org/10.1073/pnas.2215907120 “The ConceptARC benchmark: evaluating understanding and generalization in the ARC domain,” in Transactions on Machine Learning Research (August 2023), arXiv (May 11, 2023), doi.org/10.48550/arXiv.2305.07141…
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1 Nature of Intelligence, Ep. 5: How do we assess intelligence? 48:12
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Guests: Erica Cartmill, Professor, Anthropology and Cognitive Science, Indiana University Bloomington Ellie Pavlick, Assistant Professor, Computer Science and Linguistics, Brown University Hosts: Abha Eli Phoboo & Melanie Mitchell Producer: Katherine Moncure Podcast theme music by: Mitch Mignano Follow us on: Twitter • YouTube • Facebook • Instagram • LinkedIn • Bluesky More info: Tutorial: Fundamentals of Machine Learning Lecture: Artificial Intelligence SFI programs: Education Diverse Intelligences Summer Institute Books: Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell Talks: How do we know what an animal understands by Erica Cartmill The Future of Artificial Intelligence by Melanie Mitchell Papers & Articles: “Just kidding: the evolutionary roots of playful teasing,” in Biology Letters (September 23, 2020), doi.org/10.1098/rsbl.2020.0370 “Overcoming bias in the comparison of human language and animal communication,” in PNAS (November 13, 2023), doi.org/10.1073/pnas.22187991 “ Using the senses in animal communication ,” by Erica Cartmill, in A New Companion to Linguistic Anthropology, Chapter 20, Wiley Online Library (March 21, 2023) “Symbols and grounding in large language models,” in Philosophical Transactions of the Royal Society A (June 5, 2023), doi.org/10.1098/rsta.2022.0041 “Emergence of abstract state representations in embodied sequence modeling,” in arXiv (November 7, 2023), doi.org/10.48550/arXiv.2311.02171 “How do we know how smart AI systems are,” in Science (July 13, 2023), doi : 10.1126/science.adj59…
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1 Nature of Intelligence, Ep. 4: Babies vs Machines 38:37
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Guests: Linda Smith, Distinguished Professor and Chancellor's Professor, Psychological and Brain Sciences, Department of Psychological and Brain Sciences, Indiana University Bloomington Michael Frank, Benjamin Scott Crocker Professor of Human Biology, Department of Psychology, Stanford University Hosts: Abha Eli Phoboo & Melanie Mitchell Producer: Katherine Moncure Podcast theme music by: Mitch Mignano Follow us on: Twitter • YouTube • Facebook • Instagram • LinkedIn • Bluesky More info: Tutorial: Fundamentals of Machine Learning Lecture: Artificial Intelligence SFI programs: Education Books: Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell Talks: Why "Self-Generated Learning” May Be More Radical and Consequential Than First Appears by Linda Smith Children’s Early Language Learning: An Inspiration for Social AI , by Michael Frank at Stanford HAI The Future of Artificial Intelligence by Melanie Mitchell Papers & Articles: “ Curriculum Learning With Infant Egocentric Videos ,” in NeurIPS 2023 (September 21) “ The Infant’s Visual World The Everyday Statistics for Visual Learning ,” by Swapnaa Jayaraman and Linda B. Smith, in The Cambridge Handbook of Infant Development: Brain, Behavior, and Cultural Context, Chapter 20, Cambridge University Press (September 26, 2020) “Can lessons from infants solve the problems of data-greedy AI?” in Nature (March 18, 2024), doi.org/10.1038/d41586-024-00713-5 “Episodes of experience and generative intelligence,” in Trends in Cognitive Sciences (October 19, 2022), doi.org/10.1016/j.tics.2022.09.012 “Baby steps in evaluating the capacities of large language models,” in Nature Reviews Psychology (June 27, 2023), doi.org/10.1038/s44159-023-00211-x “ Auxiliary task demands mask the capabilities of smaller language models ,” in COLM (July 10, 2024) “Learning the Meanings of Function Words From Grounded Language Using a Visual Question Answering Model,” in Cognitive Science (First published: 14 May 2024), doi.org/10.1111/cogs.13448…
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1 Nature of Intelligence, Ep. 3: What kind of intelligence is an LLM? 45:05
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Guests: Tomer Ullman, Assistant Professor, Department of Psychology, Harvard University Murray Shanahan, Professor of Cognitive Robotics, Department of Computing, Imperial College London; Principal Research Scientist, Google DeepMind Hosts: Abha Eli Phoboo & Melanie Mitchell Producer: Katherine Moncure Podcast theme music by: Mitch Mignano Follow us on: Twitter • YouTube • Facebook • Instagram • LinkedIn • Bluesky More info: Tutorial: Fundamentals of Machine Learning Lecture: Artificial Intelligence SFI programs: Education Books: Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell The Technological Singularity by Murray Shanahan Embodiment and the inner life: Cognition and Consciousness in the Space of Possible Minds by Murray Shanahan Solving the Frame Problem by Murray Shanahan Search, Inference and Dependencies in Artificial Intelligence by Murray Shanahan and Richard Southwick Talks: The Future of Artificial Intelligence by Melanie Mitchell Artificial intelligence: A brief introduction to AI by Murray Shanahan Papers & Articles: “ A Conversation With Bing’s Chatbot Left Me Deeply Unsettled ,” in New York Times (Feb 16, 2023) “Bayesian Models of Conceptual Development: Learning as Building Models of the World,” in Annual Review of Developmental Psychology Volume 2 (Oct 26, 2020), doi.org/10.1146/annurev-devpsych-121318-084833 “Comparing the Evaluation and Production of Loophole Behavior in Humans and Large Language Models,” in Findings of the Association for Computational Linguistics (December 2023), doi.org/ 10.18653/v1/2023.findings-emnlp.264 “Role play with large language models,” in Nature (Nov 8, 2023), doi.org/10.1038/s41586-023-06647-8 “Large Language Models Fail on Trivial Alterations to Theory-of-Mind Tasks,” arXiv (v5, March 14, 2023), doi.org/10.48550/arXiv.2302.08399 “ Talking about Large Language Models ,” in Communications of the ACM (Feb 12, 2024), “Simulacra as Conscious Exotica,” in arXiv (v2, July 11, 2024), doi.org/10.48550/arXiv.2402.12422…
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1 Nature of Intelligence, Ep. 2: The relationship between language and thought 37:44
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Guests: Evelina Fedorenko, Associate Professor, Department of Brain and Cognitive Sciences, and Investigator, McGovern Institute for Brain Research, MIT Steve Piantadosi, Professor of Psychology and Neuroscience, and Head of Computation and Language Lab, UC Berkeley Gary Lupyan, Professor of Psychology, University of Wisconsin-Madison Hosts: Abha Eli Phoboo & Melanie Mitchell Producer: Katherine Moncure Podcast theme music by: Mitch Mignano Follow us on: Twitter • YouTube • Facebook • Instagram • LinkedIn • Bluesky More info: Tutorial: Fundamentals of Machine Learning Lecture: Artificial Intelligence SFI programs: Education Books: Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell Developing Object Concepts in Infancy: An Associative Learning Perspective by Rakison, D.H., and G. Lupyan Language and Mind by Noam Chomsky On Language by Noam Chomsky Talks: The Future of Artificial Intelligence by Melanie Mitchell The language system in the human brain: Parallels & Differences with LLMs by Evelina Federenko Papers & Articles: “ Dissociating language and thought in large language models ,” in Trends in Cognitive Science (March 19, 2024), doi: 10.1016/j.tics.2024.01.011 “The language network as a natural kind within the broader landscape of the human brain,” in Nature Reviews Neuroscience (April 12, 2024), doi.org/10.1038/s41583-024-00802-4 “Visual grounding helps learn word meanings in low-data regimes,” in arXiv (v2 revised on 25 March 2024), doi.org/10.48550/arXiv.2310.13257 “No evidence of theory of mind reasoning in the human language network,” in Cerebral Cortex (December 28, 2022), doi.org/10.1093/cercor/bhac505 “Chapter 1: Modern language models refute Chomsky’s approach to language,” by Steve T. Piantadosi (v7, November 2023), lingbuzz/007180 “Uniquely human intelligence arose from expanded information capacity,” in Nature Reviews Psychology (April 2, 2024), doi.org/10.1038/s44159-024-00283-3 “Understanding the allure and pitfalls of Chomsky's acience,” Review by Gary Lupyan, in The American Journal of Psychology (Spring 2018), doi.org/10.5406/amerjpsyc.131.1.0112 “Language is more abstract than you think, or, why aren’t languages more iconic?” in Philosophical Transactions of the Royal Society B (June 18, 2018), Published:18 June 2018, doi.org/10.1098/rstb.2017.0137 “Does vocabulary help structure the mind?” in Minnesota Symposia on Child Psychology: Human Communication: Origins, Mechanisms, and Functions (February 27, 2021), doi.org/10.1002/9781119684527.ch6 “Use of superordinate labels yields more robust and human-like visual representations in convolutional neural networks,” in Journal of Vision (December 2021), doi.org/10.1167/jov.21.13.13 “ Appeals to ‘Theory of Mind’ no longer explain much in language evolution ,” by Justin Sulik and Gary Lupyan “Effects of language on visual perception,” in Trends in Cognitive Sciences (October 1, 2020), doi.org/10.1016/j.tics.2020.08.005 “Is language-of-thought the best game in the town we live?” in Behavioral and Brain Sciences (September 28, 2023), doi:10.1017/S0140525X23001814 “Can we distinguish machine learning from human learning?” in arXiv (October 8, 2019), doi.org/10.48550/arXiv.1910.03466…
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1 Nature of Intelligence, Ep. 1: What is Intelligence 43:28
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Guests: Alison Gopnik, SFI External Faculty; Professor of Psychology and Affiliate Professor of Philosophy at University of California, Berkeley; Member of Berkeley AI Research Group John Krakauer, SFI External Faculty; John C. Malone Professor of Neurology, Neuroscience, and Physical Medicine & Rehabilitation, Johns Hopkins University Hosts: Abha Eli Phoboo & Melanie Mitchell Producer: Katherine Moncure Podcast theme music by: Mitch Mignano Podcast logo by Nicholas Graham Follow us on: Twitter • YouTube • Facebook • Instagram • LinkedIn • Bluesky More info: Complexity Explorer: Tutorial: Fundamentals of Machine Learning Lecture: Artificial Intelligence SFI programs: Education Books: Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell Words, Thoughts and Theories by Alison Gopnik and Andrew N. Meltzoff The Scientist in the Crib: Minds, Brains, and How Children Learn by Alison Gopnik, Andrew N. Meltzoff, and Patricia K. Kuhl The Philosophical Baby: What Children's Minds Tell Us About Truth, Love, and the Meaning of Life by Alison Gopnik The Gardener and the Carpenter: What the New Science of Child Development Tells Us About the Relationship Between Parents and Children by Alison Gopnik Talks: The Future of Artificial Intelligence by Melanie Mitchell Imitation Versus Innovation: What Children Can Do That Large Langauge Models’ Can’t by Alison Gopnik The Minds of Children by Alison Gopnik What Understanding Adds to Cambrian Intelligence: A Taxonomy by John Krakauer Papers & Articles: “ Why you can’t make a computer that feels pain ,” by Daniel C. Dennett “Transmission versus truth, imitation versus innovation: What children can do that Large Language and Language-and-Vision models cannot (yet),” in Perspectives on Psychological Science (October 26, 2023), doi.org/10.1177/17456916231201401 “ Empowerment as Causal Learning, Causal Learning as Empowerment: A bridge between Bayesian causal hypothesis testing and reinforcement learning ,” by Alison Gopnik “What can AI Learn from Human Exploration? Intrinsically-Motivated Humans and Agents in Open-World Exploration ” by Yuqing Du et al, for Workshop: Agent Learning in Open-Endedness Workshop, NeurIPS 2024 conference “ Two views on the cognitive brain ,” by David L. Barack & John W. Krakauer, Perspectives in Nature Reviews Neuroscience Vol 22 (April 15, 2021) “The intelligent reflex,” by John W. Krakauer, Philosophical Psychology (May 23, 2019), doi.org/10.1080/09515089.2019.1607281 “ Representation in Cognitive Science by Nicholas Shea: But Is It Thinking? The Philosophy of Representation Meets Systems Neuroscience ” by John W. Krakauer…
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Right now, AI is having a moment — and it’s not the first time grand predictions about the potential of machines are being made. But, what does it really mean to say something like ChatGPT is “intelligent”? What exactly is intelligence? In this season of the Complexity podcast, The Nature of Intelligence, we'll explore this question through conversations with cognitive and neuroscientists, animal cognition researchers, and AI experts in six episodes. Together, we'll investigate the complexities of human intelligence, how it compares to that of other species, and where AI fits in. We'll dive into the relationship between language and thought, examine AI's limitations, and ask: Could machines ever truly be like us?…
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1 Physics of Life, Ep 6: Multiple worlds, containing multitudes 40:48
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Guests: Heather Graham, Research Associate at NASA Goddard Space Flight Center Hosts: Abha Eli Phoboo & Chris Kempes Producer: Katherine Moncure Podcast theme music by: Mitch Mignano Additional sound credits: Digifish music; “Determination of Azimuth,” written by Heather Graham, staged at the Baltimore Rock Opera Society Follow us on: Twitter • YouTube • Facebook • Instagram • LinkedIn • Bluesky More info: Apply for the 2024 Complexity Global School at Universidad de los Andes in Bogotá, Colombia SFI programs: Education Complexity Explorer: Origins of Life: Introduction| Chris Kempes (Link to full playlist ) Enroll for the course: Origins of Life Videos: Asteroids, Agnostic Biosignatures, & Experimental Rock Opera with Dr. Heather Graham Heather Graham on Katherine Johnson Papers & Articles: “Investigating the impact of x‐ray computed tomography imaging on soluble organic matter in the Murchison meteorite: Implications for Bennu sample analyses” in Meteoritics & Planetary Science (December 2023), doi.org/10.1111/maps.14111 “The Vacant Niche Revisited: Using Negative Results to Refine the Limits of Habitability,” in bioRxiv (Nov 8, 2023), doi.org/10.1101/2023.11.06.565904 “Observations of Elemental Composition of Enceladus Consistent with Generalized Models of Theoretical Ecosystems,” in bioRxiv (Oct 29, 2023), doi.org/10.1101/2023.10.29.564608 “Planetary Subsurface Science and Exploration: An Integrated Consortium to Understand Subsurface Sources of Energy and the Unique Energetics of Subsurface Life,” in Mars Extant Life: What’s Next? (Nov 2019), hou.usra.edu/meetings/lifeonmars2019/pdf/5047.pdf “ Detecting life on Earth and the limits of analogy ,” in Planetary Astrobiology (June 16, 2020) “Identifying molecules as biosignatures with assembly theory and mass spectrometry,” in chemRxiv (Nov 16, 202), chemrxiv.org/engage/api-gateway/chemrxiv/assets/orp/resource/item/60c751e59abda27c1af8dce4/original/identifying-molecules-as-biosignatures-with-assembly-theory-and-mass-spectrometry.pdf “The Grayness of the Origin of Life,” in Life (May 29, 2021) doi.org/10.3390/life11060498 “Generalized stoichiometry and biogeochemistry for astrobiological applications,” in Bulletin of Mathematical Biology (July 2021), link.springer.com/article/10.1007/s11538-021-00877-5…
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1 Physics of Life, Ep 5: How human history shapes scientific inquiry 33:53
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Guests: David Krakauer, President and William H. Miller Professor of Complex Systems at the Santa Fe Institute Sean Carroll, External Professor and Fractal Faculty at the Santa Fe Institute, Homewood Professor of Natural Philosophy at Johns Hopkins University Hosts: Abha Eli Phoboo & Chris Kempes Producer: Katherine Moncure Podcast theme music by: Mitch Mignano Additional sound credits: Digifishmusic, Trundlefly, Greenvwbeetle, Miksmusic, Brewlabboffin Follow us on: Twitter • YouTube • Facebook • Instagram • LinkedIn • Bluesky More info: SFI programs: Education Complexity Explorer: Origins of Life: The Multiple Origins of Life - Part 1 | David Krakauer Origins of Life: The Multiple Origins of Life - Part 2 | David Krakauer Origins of Life: The Multiple Origins of Life - Part 3 | David Krakauer Origins of Life: The Multiple Origins of Life - Part 4 | David Krakauer Complexity Explorer Lecture: David Krakauer • What is Complexity? Books: Disputed Inheritance: The Battle over Mendel and the Future of Biology by Gregory Radick Quanta and Fields: The Biggest Ideas in the Universe by Sean Carroll Worlds Hidden in Plain Sight: The Evolving Idea of Complexity at the Santa Fe Institute, 1984-2019 Edited by David Krakauer Talks: The Many Worlds of Quantum Mechanics Sean Carroll Papers & Articles: “The Multiple Paths to Multiple Life,” in Journal of Molecular Evolution (July 12, 2021), doi.org/10.1007/s00239-021-10016-2…
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1 Physics of Life, Ep 4: The physics of collectives 33:58
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Guests: Melanie Moses, External Professor at the Santa Fe Institute, Professor of Computer Science and Associate Professor of Biology at University of New Mexico Hyejin Youn, External Professor at the Santa Fe Institute, Associate Professor at Institute of Northwestern University Hosts: Abha Eli Phoboo & Chris Kempes Producer: Katherine Moncure Podcast theme music by: Mitch Mignano Follow us on: Twitter • YouTube • Facebook • Instagram • LinkedIn • Bluesky More info: SFI programs: Education Complexity Explorer: Fractals and Scaling Fractals and Scaling: Toward a Theory of Urban Scaling Introduction to Complexity: Ant Foraging and Task Allocation Books: Scale by Geoffrey West Complexity: a Guided Tour by Melanie Mitchell Talks: Toward a Scientific Theory of Cities by Hyejin Youn Papers & Articles: “Synergy in ant foraging strategies: memory and communication alone and in combination,” in GECCO’13: Proceedings of the 15th annual conference on Genetic and evolutionary computation (July 6, 2013), doi.org/10.1145/2463372.2463389 “ In vivo, in silico, in machina: Ants and Robots balance memory and communication to collectively exploit information ,” in Proceedings of the European Conference on Complex Systems 2012 “What makes individual I’s a Collective We; coordination mechanisms & costs” in arXiv (November 20, 2023), doi.org/10.48550/arXiv.2306.02113 “How does innovation push its boundaries?” in 43 Visions for Complexity, Exploring Complexity: Volume 3 (January 2017), doi.org/10.1142/9789813206854_0043…
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1 Physics of Life, Ep 3: Why is life so diverse? 29:22
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Guests: Brian Enquist, External Professor at the Santa Fe Institute, Professor of Ecology and Evolutionary Biology at University of Arizona Pablo Marquet, External Professor at the Santa Fe Institute, Professor at Institute of Ecology and Biodiversity, Pontificia Universidad Católica de Chile Hosts: Abha Eli Phoboo & Chris Kempes Producer: Katherine Moncure Podcast theme music by: Mitch Mignano Other music: Craig Smith, Justkiddink, MaestroALF, ComputerHotline, James Ro Davidson, SoundEnsemble, Trundlefly, Geoff Bremner, Newagesgroup, Oddmonoliths, Thepla Follow us on: Twitter • YouTube • Facebook • Instagram • LinkedIn • Bluesky More info: SFI programs: Education Complexity Explorer: Origins of Life: Astrobiology & General Theories for Life - Scaling with Pablo Marquet Books: Scale by Geoffrey West Scaling Biodiversity (Ecological Reviews) edited by David Storch, Pablo Marquet , James Brown How Landscapes Change: Human Disturbance and Ecosystem Fragmentation in the Americas (Ecological Studies Book 162) edited by Gay A. Bradshaw and Pablo A. Marquet Talks: Better Forecasting our Ecological Future: Taming Big Data with Big Theory , Brian Enquist Papers & Articles: “More than 17,000 tree species are at risk from rapid global change,” in Nature Communications (January 2, 2024), doi.org/10.1038/s41467-023-44321-9 “Metastatic cells exploit their stoichiometric niche in the network of cancer ecosystems,” in Science Advances (December 13, 2023), doi : 10.1126/sciadv.adi79 “Environmental heterogeneity as a driver of terrestrial biodiversity on a global scale” in PPG: Earth and Environment (August 11, 2023), doi.org/10.1177/03091333231189045 “The number of tree species on Earth,” PNAS (Jan 31, 2022), doi.org/10.1073/pnas.2115329119 “Globally important plant functional traits for coping with climate change,” in Frontiers of Biogeography (October 2, 2021), doi.org/10.21425/F5FBG53774 “Scaling from Traits to Ecosystems: Developing a General Trait Driver Theory via Integrating Trait-Based and Metabolic Scaling Theories,” Advances in Ecological Research (May 4, 2015), doi.org/10.1016/bs.aecr.2015.02.001 “A general quantitative theory of forest structure and dynamics,” PNAS (April 28, 2009), doi.org/10.1073/pnas.0812294106…
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1 Physics of Life, Ep 2: How do we identify life? 33:50
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Guests: Ricard Solé , External Professor at the Santa Fe Institute, Head of the Complex Systems Lab at Universitat Pompeu Fabra Sara Walker , External Professor at the Santa Fe Institute, Associate Director of the ASU-SFI Center for Biosocial Complex Systems Hosts: Abha Eli Phoboo & Chris Kempes Producer: Katherine Moncure Podcast theme music by: Mitch Mignano Other music: Matucha, Kijjaz, Klankbeeld, Aesterial-Arts, Dijifishmusic, Greenvwbeetle, Odilon Marcenaro, Jobro, Benboncan, Bone666138, Aiwha, Josh Berry, Rubenvvuuren, and Miksmusic Follow us on: Twitter • YouTube • Facebook • Instagram • LinkedIn • Bluesky SFI programs: Complexity Explorer: Origins of Life Education Books & Films: Frankenstein , directed by James Whale, based on book by Mary Shelley The Computer and the Brain , by John von Neumann Signs of life : How complexity pervades biology by Ricard V. Solé and Brian C. Goodwin Talks: Liquid and Solid Brains: Mapping the Cognition Space by Ricard Solé Evolving Brains: Solid, Liquid and Synthetic by Ricard Solé A Universal Theory of Life: Math, Art & Information by Sara Walker Papers & Articles: “Assembly theory explains and quantifies selection and evolution” in Nature (October 4, 2023) doi.org/10.1038/s41586-023-06600-9 “ Time is an object ” in Aeon, May 19, 2023 “The Algorithmic Origins of Life” in Journal of the Royal Society Interface (February 6, 2013) doi.org/10.1098/rsif.2012.0869 “Evolution of Brains and Computers: The Roads Not Taken” in Entropy (May 9, 2022), doi.org/10.3390/e24050665 “Unicellular–multicellular evolutionary branching driven by resource limitations” (June 2, 2022) doi.org/10.1098/rsif.2022.0018…
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1 Physics of Life, Ep 1: What can physics tell us about ourselves? 34:55
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Guests: Vijay Balasubramanian , External Professor at the Santa Fe Institute, Cathy and Marc Lasry Professor of Physics at the University of Pennsylvania Geoffrey West , Shannan Distinguished Professor and Past President, Santa Fe Institute Hosts: Abha Eli Phoboo & Chris Kempes Producer: Katherine Moncure Podcast theme music: Mitch Mignano Other Music: Blue Dot Sessions, Pink House Music, Eardeer, and Craig Smith. Follow us on: Twitter • YouTube • Facebook • Instagram • LinkedIn • Bluesky SFI programs: Complexity Global School Complexity Explorer: Fractals & Scaling Education Books & Stories: Tell Me Why by Arkady Leokum Scale by Geoffrey West “Funes, the Memorious” by Jorge Luis Borges Talks: How the Brain Makes You: Collective Intelligence and Computation by Neural Circuits by Vijay Balasubramanian The Future of the Planet: Life, Growth and Death in Organisms, Cities and Companies by Geoffrey West Energy, Scaling & The Future of Life on Earth by Geoffrey West Complex Time Working Group: “What is Sleep?” with Geoffrey West, Van Savage, Alex Herman Papers: “Brain Power” in PNAS (August 2, 2021) doi.org/10.1073/pnas.210702211 “The Physical Effects of Learning” preprint published in biorxiv “Unraveling why we sleep: Quantitative analysis reveals abrupt transition from neural reorganization to repair in early development” in Science Advances (September 18, 2020) DOI: 10.1126/sciadv.aba0398 “The Scales That Limit: The Physical Boundaries of Evolution” in Frontiers in Ecology and Evolution (August 7, 2019) doi.org/10.3389/fevo.2019.00242…
Trailer for Complexity: Physics of Life, from the Santa Fe Institute
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1 Michael Garfield & David Krakauer on Evolution, Information, and Jurassic Park 1:39:24
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Episode Title and Show Notes: 106 - Michael Garfield & David Krakauer on Evolution, Information, and Jurassic Park Welcome to Complexity, the official podcast of the Santa Fe Institute. I'm Michael Garfield, producer of this show and host for the last 105 episodes. Since October, 2019, we have brought you with us for far ranging conversations with our worldwide network of rigorous researchers developing new frameworks to explain the deepest mysteries of the universe. Today I step down and depart from SFI with one final appearance as the guest of this episode. Our guest host is SFI President David Krakauer, he and I will braid together with nine other conversations from the archives in a retrospective masterclass on how this podcast traced the contours of complexity. We'll look back on episodes with David, Brian Arthur, Geoffrey West, Doyne Farmer, Deborah Gordon, Tyler Marghetis, Simon DeDeo, Caleb Scharf, and Alison Gopnik to thread some of the show's key themes through into windmills and white whales, SFI pursues, and my own life's persistent greatest questions. We'll ask about the implications of a world transformed by science and technology by deeper understanding and prediction and the ever-present knock-on consequences. If you value our research and communication efforts, please subscribe, rate and review us at Apple Podcasts or Spotify and consider making a donation or finding other ways to engage with SFI at Santa fe.edu/engage. Thank you each and all for listening. It's been a pleasure and an honor to take you offroad with us over these last years. Follow SFI on social media: Twitter • YouTube • Facebook • Instagram • LinkedIn 📚 Reading & Videos: The Lost World by Michael Crichton Jurassic Park by Michael Crichton The Evolution of Syntactic Communication by Martin Nowak, Joshua Plotkin, and Vincent Jansen InterPlanetary Festival 2018 + SFI Science Explainer Animations by SFI Complexity Economics by SFI Press Supertheories and Consilience from Alchemy to Electromagnetism by Simon DeDeo (2019 SFI Seminar) How To Live in The Future, Part 4: The Future is Exapted/Remixed by Michael Garfield Artists Misusing Technology by NXT Museum The Collapse of Artificial Intelligence by Melanie Mitchell (2019 SFI Symposium Talk) The Debate Over Understanding in AI's Large Language Models by Melanie Mitchell & David Krakauer Welcome To Jurassic Park by Tink Zorg (re: COVID-19 and the collapse of supply chains) Smarter Parts Make Collective Systems Too Stubborn by Jordana Cepelewicz at Quanta Magazine (re: Albert Kao) Coarse-graining as a downward causation mechanism by Jessica Flack Argument Making In The Wild by Simon DeDeo (SFI Seminar re: egregores) The Collective Computation of Reality in Nature and Society by Jessica Flack (SFI Community Lecture re: “hourglass emergence”) Interaction-based evolution: how natural selection and nonrandom mutation work together by Adi Livnat In The Country of The Blind (_Afterword: An Introduction to Cliology) by Michael Flynn An exchange of letters on the role of noise in collective intelligence by Daniel Kahneman, David Krakauer, Olivier Sibony, Cass Sunstein, David Wolpert Murray Gell-Mann - Information overload. A crude look at the whole (180/200) (re: the challenges of funding truly innovative research) The work of art in the age of biocybernetic reproduction by W.J.T. Mitchell Ken Wilber Intelligence as a planetary scale process by Adam Frank, David Grinspoon, and Sara Walker Light & Magic (documentary series) on Disney+ Palantir Analytics The Lord of The Rings by J.R.R. Tolkien Present Shock: When Everything Happens Now by Douglas Rushkoff Michael Levin Robustness of variance and autocorrelation as indicators of critical slowing down by Vasilis Dakos, Egbert H van Nes, Paolo D’Odorico, Marten Scheffer The Singularity in Our Past Light-Cone by Cosma Shalizi 🎧 Podcasts: Complexity Podcast 001 - David Krakauer on The Landscape of 21st Century Science 009 - Mirta Galesic on Social Learning & Decision-making 012 - Matthew Jackson on Social and Economic Networks 013 - W. Brian Arthur (Part 1) on The History of Complexity Economics 016 - Andy Dobson on Disease Ecology & Conservation Strategy 036 - Geoffrey West on Scaling, Open-Ended Growth, and Accelerating Crisis/Innovation Cycles: Transcendence or Collapse? 056 - J. Doyne Farmer on The Complexity Economics Revolution 060 - Andrea Wulf on The Invention of Nature, Part 1: Humboldt’s Naturegemälde 065 - Deborah Gordon on Ant Colonies as Distributed Computers 067 - Tyler Marghetis on Breakdowns & Breakthroughs: Critical Transitions in Jazz & Mathematics 072 - Simon DeDeo on Good Explanations & Diseases of Epistemology 087 - Sara Walker on The Physics of Life and Planet-Scale Intelligence 090 - Caleb Scharf on The Ascent of Information: Life in The Human Dataome 92 - Miguel Fuentes & Marco Buongiorno Nardelli on Music, Emergence, and Society 099 - Alison Gopnik on Child Development, Elderhood, Caregiving, and A.I. Future Fossils Podcast 194 - Simon Conway Morris on Convergent Evolution & Creative Mass Extinctions 190 - Lauren Seyler on Dark Microbiology & Right Relations in Science 165 - Kevin Kelly on Time, Memory, Change, and Vanishing Asia 125 - Stuart Kauffman on Physics, Life, and The Adjacent Possible Podcast theme music by Mitch Mignano Other music by Michael Garfield…
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