Increments

A podcast by Ben Chugg and Vaden Masrani

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84 Episoade

  1. #63 - Recycling is the Dumps

    Publicat: 14.02.2024
  2. #62 (Bonus) - The Principle of Optimism (Vaden on the Theory of Anything Podcast)

    Publicat: 01.02.2024
  3. #61 - Debating Free Will: Frankenstein's Monster and a Filmstrip of the Universe (with Lucas Smalldon)

    Publicat: 17.01.2024
  4. #60 - Creativity and Computational Universality (with Bruce Nielson)

    Publicat: 04.01.2024
  5. #59 (C&R, Chap 8) - On the Status of Science and Metaphysics (Plus reflections on the Brett Hall blog exchange)

    Publicat: 22.12.2023
  6. #58 - Ask Us Anything V: How to Read and What to Read

    Publicat: 29.11.2023
  7. #57 (Bonus) - A calm and soothing discussion of The Patriarchy

    Publicat: 15.11.2023
  8. #56 - Ask Us Anything IV: Certainty, Emergence, and Popperian Imperatives

    Publicat: 01.11.2023
  9. #55 - Is all thought problem-solving?

    Publicat: 09.10.2023
  10. #54 - Ask Us Anything III: Emotional Epistemology

    Publicat: 18.09.2023
  11. #53 - Ask Us Anything II: Disagreements and Decisions

    Publicat: 14.08.2023
  12. #52 - Ask Us Anything I: Computation and Creativity

    Publicat: 10.07.2023
  13. #51 - Truth, Moose, and Refrigerated Eggplant: Critiquing Chapman's Meta-Rationality

    Publicat: 29.05.2023
  14. #50 - On the Evolutionary Origins of Storytelling, Art, and Science

    Publicat: 24.04.2023
  15. #49 - AGI: Could The End Be Nigh? (With Rosie Campbell)

    Publicat: 22.03.2023
  16. #48 (C&R Chap. 18) - Utopia and Violence

    Publicat: 24.02.2023
  17. #47 (Bonus) - Dualism, Reductionism, and Explanation Pancakes

    Publicat: 16.01.2023
  18. #46 (Bonus) - Arguing about probability (with Nick Anyos)

    Publicat: 19.12.2022
  19. #45 - Four Central Fallacies of AI Research (with Melanie Mitchell)

    Publicat: 31.10.2022
  20. #44 - Longtermism Revisited: What We Owe the Future

    Publicat: 03.10.2022

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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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