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Podcast The Theory of Anything

The Theory of Anything

Bruce Nielson and Peter Johansen

Société & Culture

Fréquence : 1 épisode/16j. Total Éps: 141

Hosting podcast Spotify for Podcasters
A podcast that explores the unseen and surprising connections between nearly everything, with special emphasis on intelligence and the search for Artificial General Intelligence (AGI) through the lens of Karl Popper's Theory of Knowledge. David Deutsch argued that Quantum Mechanics, Darwinian Evolution, Karl Popper's Theory of Knowledge, and Computational Theory (aka "The Four Strands") represent an early 'theory of everything' be it science, philosophy, computation, religion, politics, or art. So we explore everything. Support us on Patreon: https://www.patreon.com/brucenielson/membership
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  • 🇬🇧 Grande Bretagne - philosophy

    22/05/2026
    #87
  • 🇬🇧 Grande Bretagne - philosophy

    21/05/2026
    #57
  • 🇬🇧 Grande Bretagne - philosophy

    16/05/2026
    #70
  • 🇬🇧 Grande Bretagne - philosophy

    15/05/2026
    #52
  • 🇬🇧 Grande Bretagne - philosophy

    14/05/2026
    #55
  • 🇬🇧 Grande Bretagne - philosophy

    08/05/2026
    #99
  • 🇩🇪 Allemagne - philosophy

    11/04/2026
    #99
  • 🇩🇪 Allemagne - philosophy

    10/04/2026
    #76
  • 🇬🇧 Grande Bretagne - philosophy

    14/02/2026
    #75
  • 🇬🇧 Grande Bretagne - philosophy

    06/02/2026
    #73

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Episode 94: Stephen Hicks on Critical Rationalism vs Objectivism

Saison 1 · Épisode 94

mardi 1 octobre 2024Durée 01:01:44

This episode we interview Professor of Philosophy Stephen Hicks. In his excellent books Explaining Postmodernism and Nietzsche and the Nazis it becomes clear that the history of bad and good ideas—which he sees through the lens of Enlightenment and counter-Enlightenment philosophers—is more than an academic issue but something with monumental importance for human life and prosperity.


Rather than focus on this aspect of his work, which is widely known, we thought we’d ask him questions on epistemology, focusing on contrasting critical rationalism and objectivism.

Episode 93: Philosophical Theories vs Bad Explanations

Saison 1 · Épisode 93

mardi 17 septembre 2024Durée 02:07:05

Can philosophical theories be refuted? What is a bad explanation? Can all theories be made more empirical?


In search of an answer to these questions, Bruce takes a deep dive into what he believes is the correct way to apply “Popper’s ratchet” to metaphysical or philosophical theories. Along the way, Bruce puts forward a generalization of testability he calls “checkability” and explains why “vague-maning” our theories is “worse than dogmatism.”

Episode 84: Are Video Games Harmful to Children?

Saison 1 · Épisode 84

mardi 30 avril 2024Durée 01:27:46

Here we discuss a 1992 interview with David Deutsch where he makes the case that video games are inherently educational, not addictive, and that children should not be stopped from playing as much as they want. We contrast the view of humans, science, and knowledge promoted there by David Deutsch with the more pessimistic view of thinkers such as Jonathan Haidt today. Bruce and Peter reflect on their own mixed feelings on this issue both as critical rationalists and parents.

David Deutsch on video games: https://takingchildrenseriously.com/video-games-a-unique-educational-environment/

Peter briefly quotes from this recent article by Jonathan Haidt: https://www.thefp.com/p/jonathan-haidt-worried-about-the-boys-too

Follow us on Twitter: https://twitter.com/bnielson01

Episode 83: Popper's Second Axis (aka Bruce's Epistemology?)

Saison 1 · Épisode 83

lundi 15 avril 2024Durée 02:01:24

Bruce summarizes his (unique?) understanding of Karl Popper’s epistemology that (possibly?) straddles the line between orthodox and unorthodox and is Influenced both by Deutsch, more old school Popperians, and his own unique interpretation of critical rationalism. Bruce claims that the key difference between regular "folk epistemology" (i.e. how humans reason without a correct understanding of epistemology) and "Popper's epistemology" (aka "Critical Rationalism" or the correct epistemology) is due to Popper's epistemology having a 'second axis' that regular folk epistemology entirely lacks. This 'second axis' is rooted in a choice to make your theories bold and risky by maximizing empirical content.


This makes Popper's epistemology 2-dimensional instead of 1-dimensional.


If this fact is missed, Bruce claims your epistemology collapses back to be regular old folk epistemology and you are no longer doing critical rationalism.

Refutation, corroboration, explanation, induction, falsification, verisimilitude, “the Popperian war on words,” and “Popper’s ratchet” -- from past podcasts! -- are all touched upon.

Follow us on Twitter: ⁠https://twitter.com/bnielson01⁠

Episode 82: Popper's Ratchet

Saison 1 · Épisode 82

mardi 2 avril 2024Durée 01:53:02

In an episode that may (or may not) be his magnum opus, Bruce introduces his term for Karl Popper’s idea that you are only allowed to solve problems with your (scientific) theory by making it more empirical, not less empirical.

Bruce makes the case that this is one of Karl Popper’s least appreciated ideas, as all of us are tempted by ad hoc saves that move our ideas in the direction of vagueness.

Bruce also considers where conjectures come from and if Popper thought there existed a scientific method.

Episode 81: Easy to Varyness vs Ad Hocness

Saison 1 · Épisode 81

mardi 19 mars 2024Durée 02:14:02

Bruce sympathetically critiques David Deutsch’s concept of “easy to varyness” as a way to judge our explanations.

Are our best theories about reality truly hard to vary? Bruce makes the case that Popper’s concept of “ad hocness” may be a strangely interwoven concept.

Along the way we get deeper into whether Popperian epistemology is best seen as an attitude or a methodology.

Episode 80: Knowledge vs. Simul-Knowledge

Saison 1 · Épisode 79

lundi 4 mars 2024Durée 01:44:34

Bruce wraps up his epic 6 part series on knowledge and the 'two sources hypothesis' (i.e. Deutsch's theory that all 'knowledge' comes from only two sources: Biological evolution and human minds).


What happens if we take all the non-two sources examples of 'adapted information that cause itself to remain so' (e.g. the walking robot, the immune system, trade secrets, animal learning, animal memes, etc.) and give them their own theory distinct from the theory of 'knowledge'? Sort of like a theory of "a simulacrum of knowledge" (to uses Deutsch's own term) or "Simul-Knowledge" for short.


This turns out to be remarkably easy: you just take the constructor theory of knowledge without any implicit additional criteria. Doing this has immediate profound implications that impact how we see and understand Deutsch's theory of knowledge.


Like to a version of the drawing Bruce refers to throughout the episode.

Episode 79: Perspiration vs Inspiration

Saison 1 · Épisode 79

lundi 26 février 2024Durée 01:31:33

Is human creativity algorithmic? What is the difference between an Inspiration and a perspiration algorithm? Can mechanical processes ever create knowledge? What is the relationship between creativity and explanation? If we had the 'inspiration' algorithm today, would it use perspiration? Here Bruce continues his exploration of these issues and more.

Episode 78: Are Animal Memes Knowledge In the Genes?

Saison 1 · Épisode 78

lundi 19 février 2024Durée 01:11:53

Do animals create knowledge? Deutsch claims they don't because all their knowledge is in their genes. Yet he admits that animals do have memes! But aren't memes, by definition, knowledge outside the genome? How does Deutsch attempt to deal with these problems with his theory of knowledge? And how well do his arguments hold up?

Episode 77: Counter Examples To Deutsch's Theory of Knowledge?

Saison 1 · Épisode 77

lundi 12 février 2024Durée 01:35:51

Bruce continues to consider what our best theories tell us about knowledge. Is there something special (or even physically different) about the knowledge created by nature through biological evolution and human minds (i.e. the 'two sources hypothesis')? How should we think about knowledge created in human minds that could take us to the moon and beyond or divert an asteroid? Is it physically different from the kind of adapted information created by animals or the immune system? Or does it merely a broader and deeper search for solutions?

Along the way, he delves into machine learning, animal behavior, the immune system, trade secrets, robots, and many other concepts related to David Deutsch’s ideas about knowledge but are outside the 'two sources' and thus not considered 'knowledge' by David Deutsch.


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