84 Avsnitt

  1. #63 - Recycling is the Dumps

    Publicerades: 2024-02-14

  2. #62 (Bonus) - The Principle of Optimism (Vaden on the Theory of Anything Podcast)

    Publicerades: 2024-02-01

  3. #61 - Debating Free Will: Frankenstein's Monster and a Filmstrip of the Universe (with Lucas Smalldon)

    Publicerades: 2024-01-17

  4. #60 - Creativity and Computational Universality (with Bruce Nielson)

    Publicerades: 2024-01-04

  5. #59 (C&R, Chap 8) - On the Status of Science and Metaphysics (Plus reflections on the Brett Hall blog exchange)

    Publicerades: 2023-12-22

  6. #58 - Ask Us Anything V: How to Read and What to Read

    Publicerades: 2023-11-29

  7. #57 (Bonus) - A calm and soothing discussion of The Patriarchy

    Publicerades: 2023-11-15

  8. #56 - Ask Us Anything IV: Certainty, Emergence, and Popperian Imperatives

    Publicerades: 2023-11-01

  9. #55 - Is all thought problem-solving?

    Publicerades: 2023-10-09

  10. #54 - Ask Us Anything III: Emotional Epistemology

    Publicerades: 2023-09-18

  11. #53 - Ask Us Anything II: Disagreements and Decisions

    Publicerades: 2023-08-14

  12. #52 - Ask Us Anything I: Computation and Creativity

    Publicerades: 2023-07-10

  13. #51 - Truth, Moose, and Refrigerated Eggplant: Critiquing Chapman's Meta-Rationality

    Publicerades: 2023-05-29

  14. #50 - On the Evolutionary Origins of Storytelling, Art, and Science

    Publicerades: 2023-04-24

  15. #49 - AGI: Could The End Be Nigh? (With Rosie Campbell)

    Publicerades: 2023-03-22

  16. #48 (C&R Chap. 18) - Utopia and Violence

    Publicerades: 2023-02-24

  17. #47 (Bonus) - Dualism, Reductionism, and Explanation Pancakes

    Publicerades: 2023-01-16

  18. #46 (Bonus) - Arguing about probability (with Nick Anyos)

    Publicerades: 2022-12-19

  19. #45 - Four Central Fallacies of AI Research (with Melanie Mitchell)

    Publicerades: 2022-10-31

  20. #44 - Longtermism Revisited: What We Owe the Future

    Publicerades: 2022-10-03

2 / 5

Vaden Masrani, a senior research scientist in machine learning, and Ben Chugg, a PhD student in statistics, get into trouble arguing about everything except machine learning and statistics. Coherence is somewhere on the horizon. Bribes, suggestions, love-mail and hate-mail all welcome at [email protected].

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