• Nature of Intelligence, Ep. 1: What is Intelligence

  • Sep 25 2024
  • Length: 43 mins
  • Podcast

Nature of Intelligence, Ep. 1: What is Intelligence

  • Summary


  • 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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