podcast

Why Every Brain Metaphor in History Has Been Wrong [SPECIAL EDITION]

23.01.2026
Listen to the episode on your favorite platforms:
  • Apple Podcasts
  • Spotify
  • Castbox
  • Pocket Casts
  • Overcast
  • Castro
  • RadioPublic

What if everything we think we know about the brain is just a really good metaphor that we forgot was a metaphor?This episode takes you on a journey through the history of scientific simplification, from a young Karl Friston watching wood lice in his garden to the bold claims that your mind is literally software running on biological hardware.We bring together some of the most brilliant minds we've interviewed — Professor Mazviita Chirimuuta, Francois Chollet, Joscha Bach, Professor Luciano Floridi, Professor Noam Chomsky, Nobel laureate John Jumper, and more — to wrestle with a deceptively simple question: *When scientists simplify reality to study it, what gets captured and what gets lost?**Key ideas explored:**The Spherical Cow Problem* — Science requires simplification. We're limited creatures trying to understand systems far more complex than our working memory can hold. But when does a useful model become a dangerous illusion?*The Kaleidoscope Hypothesis* — Francois Chollet's beautiful idea that beneath all the apparent chaos of reality lies simple, repeating patterns — like bits of colored glass in a kaleidoscope creating infinite complexity. Is this profound truth or Platonic wishful thinking?*Is Software Really Spirit?* — Joscha Bach makes the provocative claim that software is literally spirit, not metaphorically. We push back on this, asking whether the "sameness" we see across different computers running the same program exists in nature or only in our descriptions.*The Cultural Illusion of AGI* — Why does artificial general intelligence seem so inevitable to people in Silicon Valley? Professor Chirimuuta suggests we might be caught in a "cultural historical illusion" — our mechanistic assumptions about minds making AI seem like destiny when it might just be a bet.*Prediction vs. Understanding* — Nobel Prize winner John Jumper: AI can predict and control, but understanding requires a human in the loop. Throughout history, we've described the brain as hydraulic pumps, telegraph networks, telephone switchboards, and now computers. Each metaphor felt obviously true at the time. This episode asks: what will we think was naive about our current assumptions in fifty years?Featuring insights from *The Brain Abstracted* by Mazviita Chirimuuta — possibly the most influential book on how we think about thinking in 2025.---TIMESTAMPS: The Wood Louse & The Spherical Cow The Necessity of Abstraction Simplicius vs. Ignorantio: The Boxing Match The Kaleidoscope Hypothesis Is the Mind Software? Critique of Causal Patterns Temperature is Not a Thing The Ship of Theseus & Ontology Metaphors Hardening into Reality The Illusion of AGI Inevitability Prediction vs. Understanding Climbing the Mountain vs. The Helicopter Haptic Realism & The Limits of Knowledge---REFERENCES:Person:[] Karl Friston (UCL)https://profiles.ucl.ac.uk/1236-karl-friston[] Francois Chollethttps://fchollet.com/[] Cesar Hidalgo, MLST interview.https://www.youtube.com/watch?v=vzpFOJRteeI[] Terence Tao's Bloghttps://terrytao.wordpress.com/Book:[] The Brain Abstractedhttps://mitpress.mit.edu/9780262548045/the-brain-abstracted/[] On Learned Ignorancehttps://www.amazon.com/Nicholas-Cusa-learned-ignorance-translation/dp/0938060236[] Science and the Modern Worldhttps://amazon.com/dp/0684836394<truncated, see ReScript>

RESCRIPT:https://app.rescript.info/public/share/CYy0ex2M2kvcVRdMnSUky5O7H7hB7v2u_nVhoUiuKD4PDF Transcript: https://app.rescript.info/api/public/sessions/6c44c41e1e0fa6dd/pdf

Thank you to Dr. Maxwell Ramstead for early script work on this show (Ph.D student of Friston) and the woodlice story came from him!