The Theory of Anything

Bruce Nielson and Peter Johansen
  • 5.0（22則評分）
  • 哲學
  • 每月更新兩次
The Theory of Anything

A podcast that explores intelligence and the search for Artificial General Intelligence (AGI) through the lens of the Popper-Deutsch Theory of Knowledge. David Deutsch has argued that Quantum Mechanics, Darwin's Theory of 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, politics, or art. Support this podcast: https://podcasters.spotify.com/pod/show/four-strands/support

  1. 11月12日

    Episode 97: Karl Popper On Conservatism in Music (w/Chris Johansen)

    We take a deep dive into Karl Popper’s philosophical ideas about music that he outlines in four chapters in this intellectual autobiography Unended Quest: “Music,” Speculations about the Rise of Polyphonic Music,” “Two Kinds of Music,” and “Progressivism in Art, Especially in Music.”  We are joined by Peter’s brother, Chris Johansen, who is a straight-ahead jazz tenor saxophonist living in NYC.  We discuss how Popper’s ideas on classical music intersect with Chris’s ideas on jazz, as well as the role of conservatism in music. We examine how Popper’s thinking on music influenced his concept of the 3 worlds and his ideas on such concepts as dogmatism, essentialism, and historicism.  Plus, you get Bruce's rant about the importance of constraints in music, science, criticism, and Popper's epistemology. Bruce argues that absent at least the attempt to outline epistemological conventions (i.e. constraints) you can't error correct Popper's epistemology and you lose what makes it special. You can listen to more of Chris’s music here. --- Support this podcast: https://podcasters.spotify.com/pod/show/four-strands/support

    1 小時 32 分鐘

  2. 10月29日

    Episode 96: Kenneth Stanley on the Pursuit of What’s Interesting

    Here we interview AI researcher Kenneth Stanley, who makes the case that in complex systems, pursing specific objectives can actually be counterproductive. Instead, whether in machine learning, business, science, education, or art, we should pursue what is interesting. It is in this search for novelty—fueled by curiosity—where innovation and open-ended knowledge creation occurs. Get Ken's book! Why Greatness Cannot Be Planned: The Myth of the Objective Also: Can Bruce find a counter example to Ken's thesis? How does one 'detect novelty' using an algorithm? Is creativity really a search algorithm? --- Support this podcast: https://podcasters.spotify.com/pod/show/four-strands/support

    1 小時 29 分鐘

  3. 10月15日

    Episode 95: On Morality, Moralizing, and Elephant Jockeys (Round Table)

    This time we invited some of the coolest and smartest people we know to have a freewheeling discussion on morality loosely centered on Jonathan Haidt's “rider and the elephant” metaphor. We take a deep dive into this idea that moral reasoning is a slave to our passions. Guests: • Lulie Tanett (https://open.spotify.com/show/6OPFnEt6uTOTGeSpnZ1YDp?si=4exIQOUfQzOg4TIU2hZ5hA) • Vaden Masrani (https://open.spotify.com/show/1gKKSP5HKT4Nk3i0y4UseB?si=Iu1WkwJMR1GHlm3OLrUwNA) • Ivan Phillips (https://www.amazon.com/dp/B08VGCFVJB?ref=cm_sw_r_mwn_dp_33ZJEY7V0RP00CG7566Z&ref_=cm_sw_r_mwn_dp_33ZJEY7V0RP00CG7566Z&social_share=cm_sw_r_mwn_dp_33ZJEY7V0RP00CG7566Z&language=en_US) • Ray Scott Percival (https://www.amazon.com/Myth-Closed-Mind-Understanding-Rational-ebook/dp/B007ED2YOG/ref=mp_s_a_1_1?crid=18OW1OJ7SHU0F&dib=eyJ2IjoiMSJ9.JSCCp7cMzHYl926ph94huzUH8e6nS5VFbeyXnBuWHk_8xfeA3aYMNGdbPKf51RTbatD5MJ6psFT9Md-wcXMohLMIVZMTtZYFZPkdvMPLieZem163A_H5xch8hiTt28hByPAtMm3xFqIUtQ9GLpkOI_5Pr7TzJ8Fw7bfiYqt36gnx4yeJSb8a4eOSff3p5QJ04oLY9PUNBdGPtxcILt_ung.cTeFXFI-PZaMPhyBZtFcJ7mIY2k4Kkq1fTEIafAEsxs&dib_tag=se&keywords=ray+scott+percival&qid=1728763752&sprefix=ray+scott+percival+%2Caps%2C156&sr=8-1⁠; https://open.spotify.com/artist/3B1Bh10uUljUX9iNmPOYZo?si=NWnRyuv1T7aHRGWZIXZYzA) --- Support this podcast: https://podcasters.spotify.com/pod/show/four-strands/support

    2 小時 49 分鐘

  4. 10月1日

    Episode 94: Stephen Hicks on Critical Rationalism vs Objectivism

    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. --- Support this podcast: https://podcasters.spotify.com/pod/show/four-strands/support

    1 小時 2 分鐘

  5. 9月17日

    Episode 93: Philosophical Theories vs Bad Explanations

    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.” --- Support this podcast: https://podcasters.spotify.com/pod/show/four-strands/support

    2 小時 7 分鐘

  6. 9月3日

    Episode 92: Popper on Philosophical Theories

    Continuing from episode 91, we continue our deep dive into Popper's Conjectures and Refutations Chapter 8 where Popper explains how to use his epistemology on philosophical theories that (by definition) can't be 'refuted'. Despite agreeing with most of Popper's specific arguments, we offer some considerable criticisms to Popper's approach to criticizing philosophical theories -- particularly to Popper's criticisms of the theory of Determinism which is a 'best theory' by any fair standard but Popper (incorrectly) thought was false. Bruce argues that Popper's approach in C&R Ch. 8 is problematic because it opens the 'Crit Rat Loophole', which is a common way CritRats interpret Popper that allows any preferred theory to be declare a 'best theory' based on the scantest of criticisms. Bruce argues that Chapter 8 of C&R fails in this important regard because it doesn't give a good answer to the question "How does one tell the difference between a good philosophical explanation and a bad explanation?" --- Support this podcast: https://podcasters.spotify.com/pod/show/four-strands/support

    1 小時 56 分鐘

  7. 8月20日

    Episode 91: The Critical Rationalist Case For Induction!?

    Forgive the clickbait title. The episode should probably actually be called "The (Lack of) Problem of Induction" because we primarily cover Popper's refutation of induction in C&R Chapter 8. This episode starts our deep dive into answering the question "What is the difference between a good philosophical explanation and a bad explanation?" To answer that question we go over Karl Popper's "On the Status of Science and of Metaphysics" from his book Conjectures and Refutations Chapter 8. In this chapter Popper first explains why he believes 'there is no such thing as induction' (from page 18 of Logic of Scientific Discovery) by offering his historical and logical refutation of induction. In this episode we go over Popper's refutation of induction in chapter 8 of C&R in detail and then compare it to Tom Mitchell's (of Machine Learning fame) argument of the 'futility of bias free learning.' We show that Mitchell's and Popper's arguments are actually the same argument even though Mitchell argues for the existence of a kind of induction as used in machine learning. Bruce argues that the difference is not a conceptual or theoretical difference but just a difference in use of language and that the two men are actually conceptually fully in agreement. This makes machine learning both a kind of 'induction' (though not the kind Popper refuted) and also gives machine learning an interesting and often missed relationship with critical rationalism. Then Bruce asks the most difficult question of all: "Is there anyone out there in the world other than me that is interested in exploring how to apply Karl Popper's epistemology to machine learning like this?" You can find a copy of Mitchell's text here if you want to check out his argument for the futility of bias free learning for yourself. As I mention in the podcast, I'm shocked Critical Rationalists aren't referencing Mitchell's argument constantly because it is so strongly critical rationalist in nature. But the whole textbook is just like this. --- Support this podcast: https://podcasters.spotify.com/pod/show/four-strands/support

    1 小時 46 分鐘

  8. 7月30日

    Episode 90: Bayesianism for Critical Rationalists!?

    Today our guest Ivan Phillips methodically explains what Bayesianism is and is not. Along the way we discuss the validity of critiques made by critical rationalists of the worldview that is derived from Thomas Bayes’s 1763 theorem. Ivan is a Bayesian that is very familiar with Karl Popper's writings and even admires Popper's epistemology. Ivan makes his case that Bayesian epistemology is the correct way to reason and that Karl Popper misunderstood some aspects of how to properly apply probability theory to reasoning and inference. (Due in part to those theories being less well developed back in Popper's time.) This is a video podcast if you watch it on Spotify. But it should be consumable as just audio. But I found Ivan's slides quite useful. This is by far the best explanations for Bayesianism that I've ever seen and it does a great job of situating it in a way that makes sense to a critical rationalist like myself. But it still didn't convince me to be a Bayesian. ;) --- Support this podcast: https://podcasters.spotify.com/pod/show/four-strands/support

    2 小時 56 分鐘
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簡介

A podcast that explores intelligence and the search for Artificial General Intelligence (AGI) through the lens of the Popper-Deutsch Theory of Knowledge. David Deutsch has argued that Quantum Mechanics, Darwin's Theory of 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, politics, or art. Support this podcast: https://podcasters.spotify.com/pod/show/four-strands/support

資訊

  • 創作者
    Bruce Nielson and Peter Johansen
  • 活躍年代
    2020年 - 2024年
  • 集數
    98
  • 年齡分級
    兒少適宜
  • 版權
    © Bruce Nielson and Peter Johansen
  • 節目網站
    The Theory of Anything

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