A podcast to examine your life, because the unexamined life is not worth living.
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A podcast to examine your life, because the unexamined life is not worth living.
Hosted on Acast. See acast.com/privacy for more information.
The Matrix looks more and more like the perfect allegory for the modern age. States, corporations, social systems, and even ideas have a mind of their own, and they are hungry. By participating blindly and uncritically in these systems, we feed them, and they take over more and more of our lives.
Sources:
• Dawkins, The Selfish Gene (1976)
• Earth.org / Environment+Energy Leader fast-fashion waste roundups (2025–26)
• Reed Hastings, Netflix earnings call / Summit LA17 remarks (2017)
• Tristan Harris, Senate testimony (2017)
• Dale & Krueger, NBER working paper (1999) / QJE (2002); follow-up NBER (2011) / Journal of Human Resources (2014)
• ProPublica & *The Chronicle of Higher Education*, “The Newest College Admissions Ploy: Paying to Make Your Teen a 'Peer-Reviewed' Author,” May 2023.
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Over time, we have been able to cognize in totally novel ways. We have been able to teach these novel cognitions to our fellow humans. We can teach some of them to other great apes. We can teach dogs some language and concepts. We can't teach anything to rats.
Today, your favorite podcasting primate contemplates what superintelligent AI could look like or mean. How can we relate to something that is 2x, 5x, 100x smarter than we are? How will it relate to us?
SOURCES:
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Today we explore wisdom. Not the "don't put tomatoes in a fruit salad" kind. Serious business wisdom.
It turns out, the wise tend to converge on understanding the world in a similar way.
In the 20th century, philosophical titans saw this convergence. They look back to the original seers of wisdom and see in them parallels that run so deep, that upon deep contemplation of these philosophies, they found a "highest common factor," including among:
It is the Perennial Philosophy. I call it the One Wisdom. Huxley called it the “Highest Common Factor” of universal truth.
SOURCES
Camus, Albert. The Myth of Sisyphus. 1942.
Huxley, Aldous. The Perennial Philosophy. Harper & Row, 1945.
John of the Cross, St. Dark Night of the Soul (La noche oscura del alma).
Jung, C. G. Letters, Volume 1: 1906–1950. Princeton University Press.
Kahan, Dan. Identity-protective cognition research (cross-referenced, this project).
Platform Sutra of the Sixth Patriarch (Liuzu Tan Jing).
Polanyi, Michael. Personal Knowledge: Towards a Post-Critical Philosophy. University of Chicago Press, 1958.
Polanyi, Michael. The Tacit Dimension. Doubleday, 1966.
Tolle, Eckhart. A New Earth: Awakening to Your Life's Purpose. Dutton, 2005.
Tao Te Ching (Laozi).
Watts, Alan. Become What You Are. Shambhala, 1995 (essays, 1930s–1950s).
Watts, Alan. The Wisdom of Insecurity. Pantheon, 1951.
Wittgenstein, Ludwig. Tractatus Logico-Philosophicus. 1921.
Wright, Robert. Why Buddhism Is True. Simon & Schuster, 2017.
Xiangyan Zhixian — traditional Chan/Zen biographical account (Tang dynasty, c. 820–898).
Zhuangzi (Chuang Tzu), "On the Equality of Things" ("Discussion on Making All Things Equal").
Bible. Job 42:5–6; Luke 15:11–32 (KJV).
Bhagavad Gita, 2.47.
Ovid. Metamorphoses.
McGilchrist, Iain. The Master and His Emissary: The Divided Brain and the Making of the Western World. Yale University Press, 2009.
Miles Kington. Quoted in The Independent (UK), Mar 28, 2003.
Joseph Campbell. The Hero with a Thousand Faces. Pantheon, 1949 — "Freedom to Live," Stage 17.
Eckhart Tolle. The Power of Now: A Guide to Spiritual Enlightenment. New World Library, 1997
Ramana Maharshi, quoted in Ram Dass, "Dying Is Absolutely Safe"
Alan Watts, Become Who You Are.
Sam Harris, Waking Up: A Guide to Spirituality Without Religion.
Dalai Lama & Paul Ekman, Emotional Awareness: Overcoming the Obstacles to Psychological Balance and Compassion. Times Books, 2008
Emmet Fox, The Sermon on the Mount
Ernest Kurtz & Katherine Ketcham, The Spirituality of Imperfection. Bantam
Byron Katie, Loving What Is. Harmony, 2002.
Diana Chapman & Jim Dethmer (with Kaley Klemp), The 15 Commitments of Conscious Leadership. 2014.
Epictetus, Discourses / Enchiridion.
Marcus Aurelius, Meditations.
Plato, Republic
Plotinus, The Enneads.
Spinoza, Ethics
Schopenhauer, The World as Will and Representation.
Hegel, Phenomenology of Spirit.
Jiddu Krishnamurti, Freedom from the Known
Philo of Alexandria, On the Creation of the World.
1 Corinthians 1:20, 1:25, 3:19 — "the wisdom of the world is foolishness"
John 14:6 — "I am the way, the truth, and the life."
Galatians 2:20 or 2 Corinthians 5:17 -- "in Christ"
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We explore the state of education just before the rise of AI, compare it to today, and extrapolate into the future.
Sources
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It's amazing how useful illusion is for surviving in a cave, and staggering how destructive it is to our lives. The Buddha saw this 2500 years ago. Modern science sees it more clearly than ever.
In this episode I did not even get into the Fundamental Attribution Error or the vast suite of cognitive biases and logical fallacies to which we are prone.
But we are not doomed to live like this!
SOURCES
Yes, I read these!
Brickman, Coates & Janoff-Bulman (1978), J. Personality & Social Psychology 36.
Gilbert, Stumbling on Happiness (2006)
Gazzaniga & LeDoux, The Integrated Mind (1978).
Kurzban, Why Everyone (Else) Is a Hypocrite: Evolution and the Modular Mind (2010)
Wright, Why Buddhism Is True (2017)
Fadiman & Gruber, Your Symphony of Selves (2020)
Hunt, Marx, Lipson & Young (2018), J. Social & Clinical Psychology 37.
Allcott, Braghieri, Eichmeyer & Gentzkow (2020), American Economic Review 110(3).
Scitovsky, The Joyless Economy (1976).
Wrigley & Schofield, The Population History of England 1541–1871 (1981)
Killingsworth & Gilbert (2010), Science 330.
Kasser, The High Price of Materialism (2002).
Einstein–Born correspondence (1926); Bohr–Einstein debate.
McGilchrist, The Master and His Emissary (2009); McGilchrist Substack, Apr 2026 (Kastner 2024 paper).
Mercier & Sperber, "Why Do Humans Reason?" (2011), Behavioral and Brain Sciences.
Haidt, The Righteous Mind (2012)
Trivers, The Folly of Fools (2011)
Kahan, "Ideology, Motivated Reasoning, and Cognitive Reflection" (2012)
Dunbar, Grooming, Gossip, and the Evolution of Language (1996); Dunbar, Duncan & Marriott (1997).
Hardin & Higgins (1996); Higgins & Rholes (1978); Echterhoff, Higgins & Levine (2009), Perspectives on Psychological Science
Kopietz et al. (2010), Social Cognition
Festinger, When Prophecy Fails (1956).
Plato, Apology 38a5–6; Republic Book VII (514a–520a)
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As AI's capability grows, what once-human tasks will it be able to do, by when? What will those displaced humans do? We look to the automation revolutions of the past to see what the historical pattern has been, and explore in what ways AI is different that could change the pattern.
The pattern will change. The implications are immense.
Sources
Brynjolfsson & McAfee, "Will Humans Go the Way of Horses?", Foreign Affairs (2015): https://www.foreignaffairs.com/world/will-humans-go-way-horses
U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, Software Developers (SOC 15-1252): https://www.bls.gov/oes/2021/may/oes151252.htm · https://www.bls.gov/oes/2022/may/oes151252.htm · https://www.bls.gov/oes/2023/may/oes151252.htm · Occupational Outlook Handbook: https://www.bls.gov/ooh/computer-and-information-technology/software-developers.htm ·
Katja Grace et al., "Thousands of AI Authors on the Future of AI": https://arxiv.org/abs/2401.02843 · https://aiimpacts.org/wp-content/uploads/2023/04/Thousands_of_AI_authors_on_the_future_of_AI.pdf
Metaculus: "first general AI system" https://www.metaculus.com/questions/5121/ ·
"An AI Job Apocalypse?", Goldman Sachs Research, June 25, 2026: https://www.goldmansachs.com/insights/top-of-mind/an-ai-job-apocalypse (
Tyna Eloundou, Sam Manning, Pamela Mishkin, Daniel Rock, "GPTs are GPTs," Science 384 (2024): https://www.science.org/doi/10.1126/science.adj0998 ·
Stanford Digital Economy Lab, "Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of AI" (Nov 2025): https://digitaleconomy.stanford.edu/app/uploads/2025/11/CanariesintheCoalMine_Nov25.pdf
Maxim Massenkoff & Peter McCrory, "Labor Market Impacts of AI: A New Measure and Early Evidence," Anthropic (Mar 5, 2026): https://www.anthropic.com/research/labor-market-impacts
ERRATA:
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How much of your life -- and everyone's -- is a compulsive, futile effort to deny your own death? What happens when you see what's really happening?
Sources
Leontief’s horse. Wassily Leontief, 1983, National Academy of Engineering symposium
Humans and Horses. Brynjolfsson & McAfee, “Will Humans Go the Way of Horses?”, Foreign Affairs (2015): https://www.foreignaffairs.com/world/will-humans-go-way-horses
Software developer pay. U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, Software Developers (SOC 15-1252): https://www.bls.gov/oes/2021/may/oes151252.htm · https://www.bls.gov/oes/2022/may/oes151252.htm · https://www.bls.gov/oes/2023/may/oes151252.htm ·
Occupational Outlook Handbook: https://www.bls.gov/ooh/computer-and-information-technology/software-developers.htm
Total-comp figure: Levels.fyi (2026).
AI timelines (experts). Katja Grace et al., “Thousands of AI Authors on the Future of AI” (2023 survey, 2,778 researchers): https://arxiv.org/abs/2401.02843 · https://aiimpacts.org/wp-content/uploads/2023/04/Thousands_of_AI_authors_on_the_future_of_AI.pdf
Goldman Sachs. “An AI Job Apocalypse?”, Goldman Sachs Research, June 25, 2026: https://www.goldmansachs.com/insights/top-of-mind/an-ai-job-apocalypse (Goldman’s own view is that the disruption is temporary.)
Occupational exposure. Tyna Eloundou, Sam Manning, Pamela Mishkin, Daniel Rock, “GPTs are GPTs,” *Science* 384 (2024): https://www.science.org/doi/10.1126/science.adj0998 · working paper: https://arxiv.org/abs/2303.10130
Stanford Digital Economy Lab, “Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of AI” (Nov 2025): https://digitaleconomy.stanford.edu/app/uploads/2025/11/CanariesintheCoalMine_Nov25.pdf
Current labor data. Maxim Massenkoff & Peter McCrory, “Labor Market Impacts of AI: A New Measure and Early Evidence,” Anthropic (Mar 5, 2026): https://www.anthropic.com/research/labor-market-impacts
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Look over the growth if AI's capability in the past 3 years, and the past year. What is it going to look like in 3 years, and what are the implications for all of us?
Some visions of the future of AI by some researchers on the cutting edge:
https://ai-2027.com/
Dario Amodei, Machines of Loving Grace (October 2024)
Leopold Aschenbrenner, Situational Awareness: The Decade Ahead (June 2024)
Eliezer Yudkowsky and Nate Soares, If Anyone Builds It, Everyone Dies (2025)
Nick Bostrom, Deep Utopia (2024)
The skeptics:
Arvind Narayanan and Sayash Kapoor, AI as Normal Technology (2025)
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A brief guide on how to get the most out of ReConsider 2.0
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There’s something really interesting happening in Ukraine. The few and far between Russian victories seem to be making them weaker. Yes, you read that right. Russian victories are draining the life out of their soldiers, making it harder to win the battles that come next. On the other hand, Ukrainian victories have been swift, dramatic, and devastating - with each win seemingly making them stronger.
The big question is, why is it that Ukrainians gain momentum with every win, but Russia can’t seem to build on their victories? Well, it all comes down to asymmetric momentum. And there are 6 major reasons for this.
Tune in to hear what these 6 reasons are and how the recent Ukrainian victories mark a critical juncture that will determine the course of the war.
00:00 Introduction
02:40 What is asymmetric momentum?
04:49 Ukrain’s positional warfare
06:55 Understanding Ukraine’s offensive and defensive strategies
08:16 Russia’s unintelligent retreat
10:37 How Russian political interests are affecting their progress
14:54 The poor discipline and lack of drive in Russian forces
16:42 Is the Russian army competent enough to win this war?
18:00 How Russia’s desire for a quick war is slowing their progress
20:40 Ukrainian motivation and their willingness to die for the right reasons
24:58 The impatient side of Russians uncovered
28:30 Many Russian conscripts will die due to lack of training and morale
29:36 The psychology behind Putin’s destructive Soviet-style leadership
32:04 Ukraine is playing the patient game
34:07 Summary
35:36 Parting thoughts
Ukrainian victories on the ground have been swift, dramatic, and devastating. And each win seems to make them stronger.
Russian victories (back when they happened), seemed to be slow and grinding, and wear the Rusisans down, making them weaker.
Why is it that Russians lose momentum with each victory, but Ukrainians gain it? Why such asymmetric momentum?
I see 6 (or 7, depending) major reasons:
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