
ToKCast
This is a podcast largely about the work of David Deutsch and his books ”The Beginning of Infinity” and ”The Fabric of Reality”.
Latest episodes

18 snips
Aug 23, 2023 • 35min
Ep 195: Knowledge, Wealth and Constructors
The podcast discusses the role of knowledge in transforming physical reality, the nature of knowledge as explanatory and transformative, the impact of emotions and intuition on decision making, the significance of good explanations, and the connection between physics, computing, and the unpredictability of creative entities.

Jul 26, 2023 • 1h 34min
Ep 194: David Deutsch’s ”The Fabric of Reality” Chapter 9 ”Quantum Computers” Part 4: Shor’s Algorithm
This is a "return to regular format" episode in one respect - readings from and reflections upon "The Fabric of Reality" but also a departure from regular formatting in another respect: I teach a bunch of simple mathematics. This is for those who might think "quantum computation" and "quantum algorithms" will be forever beyond me. They are not! I begin with (quite literally) primary school mathematics level stuff (what's a prime number, what is the "fundamental theorem of arithmetic") and very gradually move up into algebra and some modular arithmetic and present examples using real numbers of what the problem is and then lead us to a place where we can glimpse the solution (which is Shor's Algorithm). I do not promise to bring the listener to a graduate quantum physics-degree-level of proficiency in quantum information theory and cryptography - but you will gain quite some insight. I refer to the following more in-depth expositions of all this and hopefully bridge the gap I think is there between "I know a little bit of maths and physics" and the kind of thing the following more "high level" videos offer (which I present in order of increasing technical difficulty) 1. The PBS Infinite Series on all this stuff is brilliant. In particular this introduction: • How to Break Cryp... and this video focussed more narrowly on Shor's algorithm: • Hacking at Quantu... 2. Here is Peter Shor himself explaining the history of his work: • The Story of Shor... 3. Artur Ekert's graduate level free online course on Quantum Information Theory: https://www.youtube.com/@ArturEkert/v... in particular his lecture focussed on Shor's Algorithm: • IQIS Lecture 6.9 ... (which, aside from "The Fabric of Reality" itself, served as the basis for this episode).

21 snips
Jul 17, 2023 • 26min
Ep 193: Effortless Stoicism
I recommend the version found here that contains visuals and music: https://www.youtube.com/watch?v=mlvgxEBekP4
However the same message will come through on this audio only podcast.
Full Credit for all ideas to:
James (Jim) Pierce
Naval and Nivi
and
David Deutsch
With mistakes all my own
See also James' website (and relevant article) here: https://www.james-pierce.com/writings/effortless-stoicism
His instagram account including the original "Effortless Stoicism" video here: https://www.instagram.com/p/CuuDzL9sKOG/
His Twitter and relevant thread here: https://twitter.com/jimmpierce/status/1190810962493788160?s=20
Naval and Nivi's work on "How to get rich" where you can download their podcast from Naval's website here: https://nav.al/rich
Or the Youtube version: https://www.youtube.com/watch?v=1-TZqOsVCNM
See also Akira The Don's outstanding magical version along with other original music featuring Naval here: https://www.youtube.com/playlist?list=OLAK5uy_nX7x9AzwUTaGMFNVAxrLNXUJrKFotQ84Y
And my new favorite Naval/Nivi/Akira song here: https://www.meaningwave.com/blogs/meaningwave/akira-the-don-naval-ravikant-ft-nivi-you-will-need-to-rent-your-time-to-get-started-single

11 snips
Jun 28, 2023 • 1h 3min
Ep 192: Where do ideas come from?
This is a cross-post from my Substack podcast "The 3Rs: Reality, Reason, Rationality" the text of which can be found here: https://bretthall.substack.com/p/where-do-ideas-come-from?sd=pf#details
This diagram is also relevant:

6 snips
Jun 16, 2023 • 39min
Ep 191: Science News 2: Dark Matter, Fusion, JWST Latest
Science news from a "critical rational" perspective. No "believing" in explanations here, no time for instrumentalism and a focus on good explanations of the evidence.
Introduction (epistemology in science): 00:00
Dark Matter: 04:32
Modified Newtonian Dynamics (MOND): 08:12
Statistical confidence in physics: 15:23
Instrumentalism in modern physics: 19:00
Fusion Power 'News': 22:09
"Spinoffs" from fusion research: 24:56
Advice for investors in pure science: 28:26
James Webb Space Telescope latest: 31:59
Concluding Remarks: 37:42

5 snips
Jun 13, 2023 • 35min
Ep 190: David Deutsch’s ”The Fabric of Reality” Chapter 9 ”Quantum Computers” Part3
Here in this second-to-last episode on the discussion of Chapter 9 from the Fabric of Reality we discuss some of the key distinctions between the classical and quantum - the philosophical and scientific implications and then some of the current experimental approaches to (and reporting on) the actual engineering of these devices.

7 snips
Apr 26, 2023 • 18min
Ep 189: Epiphenomena
This serves as "part 2" of my "Are Consciousness and Creativity the same thing?" podcast, the Youtube version of which can be found here: https://www.youtube.com/watch?v=lrjY4fR-qMU

6 snips
Apr 21, 2023 • 41min
Ep 188: Nick Bostrom on AI on ”Talk TV” - analysis
This podcast was originally produced on Airchat: https://www.getairchat.com/bretthall/bretthall It is all about an interview that can be found here: https://www.youtube.com/watch?v=4fv4Uz_i1iQ

6 snips
Apr 14, 2023 • 24min
Ep 187: Red Pens and Fallibilism
This podcast episode is based around two sets of chits (two "chats") found on airchat at https://www.getairchat.com/bretthall/bretthall?t=440630 The articles associated with these chits and in the latter case many links are here:
https://www.bretthall.org/blog/the-white-swan-and-red-pen and here:
https://www.bretthall.org/blog/the-problem-with-fallibilism

47 snips
Apr 8, 2023 • 1h 34min
Ep 186: Brett, Naval and more on AI & AGI
The latest on the philosophy, science and technology of AI and AGI. ChatGPT, Deep Learning, Neural Networks and Large Language Models (LLMs). What do we know? Where is it going?
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