Episodes

  • 635. The Psychology of Computers with Tom Griffiths

    635. The Psychology of Computers with Tom Griffiths
    Mar 30 2026
    Today's AI has been designed using insights from how humans learn and think about the world. Are there certain psychological lessons we can glean from these artificial minds to further our understanding of human ones? Tom Griffiths is a professor of information technology, consciousness, and culture at Princeton University. His books, The Laws of Thought: The Quest for a Mathematical Theory of the Mind and Algorithms to Live By: The Computer Science of Human Decisions, explore how algorithms and mathematics can be used to understand the human mind, and how it differs from AI. Tom and Greg discuss the origins of the surprising convergence of psychology and computer science over the last 50 years and delve into the work done by the interdisciplinary minds who made it happen. They also cover how psychology and linguistics impact the current world of machine learning and AI. *unSILOed Podcast is produced by University FM.* Episode Quotes: How do we build good inductive bias into AI systems? 26:07: How do we build good inductive bias into these systems? And at the moment that is being engineered to some extent by doing things like synthetic pre-training, where you might pre-train on data which is not the human language data but data that you think is quite good data for shaping the kinds of things that your neural network is going to be biased towards. And then there are some other more sophisticated methods for doing that. In my lab, we use a method called metalearning, where you're explicitly creating a neural network that has initial weights, that has some sort of initial associations that it's already formed, that are going to make it easy for that model to be able to learn from small amounts of data. Neural networks vs. human learners 23:00: One of the big differences between even the fancy neural networks that we have today and human learners is that human learners learn language from far less data than our neural network models do. What is a neural network? 18:30: The way I think about neural networks is that they're a tool for thinking about computation in spaces, a way of mapping one space to another based on the information that you've received that allows you to then build up to more and more complex computations. Show Links: Recommended Resources: David MaherJohn B. Watson B. F. SkinnerJerome Bruner John von NeumannHerbert A. Simon Noam ChomskyAllen NewellFrank RosenblattMarvin Minsky“Embers of autoregression show how large language models are shaped by the problem they are trained to solve” - PaperRoger ShepardJeffrey ElmanBeen Kim Guest Profile: Faculty Profile at Princeton UniversityComputational Cognitive Science LabProfessional Profile on LinkedIn Guest Work: The Laws of Thought: The Quest for a Mathematical Theory of the Mind Algorithms to Live By: The Computer Science of Human Decisions Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    52 mins
  • 634. Gaming Life: The Philosophy of Play and Metrics with C. Thi Nguyen

    634. Gaming Life: The Philosophy of Play and Metrics with C. Thi Nguyen
    Mar 27 2026
    When the concept of ‘gamifying life’ comes up, scoring is transparent and portable but strips nuance, creating a gap between what’s measurable and what matters. When codifying everything through metrics, massive amounts of nuance is lost, so how can we utilize game theory without reducing everything to a high score? C. Thi Nguyen is a professor of philosophy at the University of Utah. He is also the author of the books The Score: How to Stop Playing Somebody Else's Game, The Routledge Handbook of Philosophy of Games, and Games: Agency As Art. Greg and Thi discuss the differences between genuine gameplay and institutional metrics and gamification. Thi explains Huizinga’s “magic circle” concept, where games create a temporary space with altered meanings and low real-world stakes, enabling intense striving without value capture. Drawing also on Bernard Suits, Thi frames games as voluntarily taking on unnecessary obstacles and distinguishes achievement play (valuing winning) from striving play (valuing the struggle), separating these from intrinsic vs extrinsic motivations. They discuss how clear scoring is transparent and portable but strips nuance, creating a gap between what’s measurable and what matters; transparency can reduce bias yet undermine expertise. Examples include social media likes, quotas, education metrics, sports rule changes, cooking “recipe vs dish,” and academia’s citation and ranking pressures. *unSILOed Podcast is produced by University FM.* Episode Quotes: The paradox on inefficiency 08:31: To play a game is to voluntarily take on unnecessary obstacles, to create the possibility of struggling to overcome them, which I find, it’s got to be to be inefficient, but interestingly not fully inefficient. So we're not trying to be as inefficient as possible. One of the ways to put the paradox of games is we take on an inefficiency and then we try to be as efficient as possible inside that inefficiency. The trap of simple scoring 04:00: One of the biggest differences between real games and the kinds of gamifications of work and education that we find is that gamifications are attempts to modify things into line with simple scoring systems that occur continuously with the rest of life that have direct connections to valuable resources. Collapsing the magic circle 05:08: Twitter likes and citation rates and gamified work are modifications of something that has preexisting value, preexisting activity. So I think the important thing about Twitter, X, Facebook is those scoring systems don't occur in a magic circle. They don't occur in a space with separated meaning. They modify our activities in the real world and change our attitudes and interactions over real world resources. So I think exactly like this easy glide from games or grudge to like we should gamify everything ignores one of the most crucial elements, which is some version of this magic circle is basically active in a lot of genuine gameplay, but is completely inactive, is completely canceled. We have the superficiality of scoring systems and game-ishness, but deep down we don't have the core guts of transferring into a temporary alternate meaning space whose meanings kind of can be held relatively isolated. Show Links: Recommended Resources: Johan HuizingaLusory AttitudeDungeons & DragonsJohn DeweyGoodhart's LawOnora O'NeillJohn ThorneTheodore PorterAutotelicDiagnostic and Statistical Manual of Mental Disorders (DSM) Guest Profile: Faculty Profile at the University of UtahThi Nguyen’s WebsiteWikipedia ProfileSocial Profile on X Guest Work: Amazon Author PageThe Score: How to Stop Playing Somebody Else's GameThe Routledge Handbook of Philosophy of GamesGames: Agency As Art Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    1 hr
  • 633. The Case for Being Human in a Digital World with Christine Rosen

    633. The Case for Being Human in a Digital World with Christine Rosen
    Mar 25 2026
    While philosophers have long wrestled with questions about technology’s impact on humanity, these questions have taken on a whole new level of urgency and significance with the rise of AI, smartphones, and the Internet. It’s more pressing than ever now to ask: What does it mean to be human? Christine Rosen is a senior fellow at the American Enterprise Institute and a fellow at the University of Virginia’s Institute for Advanced Studies in Culture. Her latest book, The Extinction of Experience, delves into how modern technologies are reshaping what it means to be human by mediating experience, promising convenience and control while subtly narrowing choices and changing social norms. Christine and Greg discuss the trade-offs of this digital age: as friction, risk, boredom, and unstructured time disappear, so do the skills and forms of attention that develop through direct interaction with other people and the world. They argue that many of these technologies offer safe simulations of connection that can weaken real relationships, and explore what a renewed humanism would look like. *unSILOed Podcast is produced by University FM.* Episode Quotes: Why technology removes the friction that makes us human 07:37: This is the really seductive thing about these technologies is that they do both at the same time, and they do that by promising us control. And they give us control. If I am having a FaceTime conversation with someone and it gets awkward, or I don't want to continue anymore, I can just press a button and that person disappears. If I'm standing with them face-to-face, I can't really do that. I have to adapt to the situation. I have to deal with it in a completely different way. I would argue a more human way with a lot of friction. So then I learn certain skills of how to be a better human being in those situations. The mediating technology flattens, makes easier, convenient, and more control is promised, and it gives us that. The hidden value in boredom 28:48: Boredom opens up all kinds of meandering paths in the brain that take you to really interesting places if you let it. Protecting human relationships in the age of AI 20:44: We are at a crucial moment right now, particularly with the huge push to integrate AI into so many aspects of life, education, work, home, your daily life. I just think that we have this opportunity now to really be clear about what it is we value in human relationships and what makes it unique and distinct and important to protect those relationships. Why friction and failure are essential for human development 11:21: We learned by failing. We learned with a lot of friction. We learned by having arguments and fights and all that stuff. If kids today don't get that experience as kids in a safe environment with people who love and care for them, when they become adults it is scary because you have to practice. So I would say these are important human skills, and we can no longer take them for granted because there are alternative things to do, like never talk to another human being. But ultimately, I think rates of loneliness and isolation and anxiety suggest that that isn't really the way most people want to live their lives. Show Links: Recommended Resources: Walter BenjaminTheodor W. AdornoJean BaudrillardNeil PostmanReady Player OneRobert Nozick Experiece machineSherry TurkleChristopher LaschNicholas Carr’s The Mirrorball Self Guest Profile: Fellow Profile at American Enterprise Institute Guest Work: The Extinction of ExperienceMy Fundamentalist Education Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    53 mins
  • 632. Knowing Yourself, Intuition vs. Reason, and the Crisis of Modern Meaning with J. Eric Oliver

    632. Knowing Yourself, Intuition vs. Reason, and the Crisis of Modern Meaning with J. Eric Oliver
    Mar 23 2026
    How is modern self-knowledge acquired? In what ways can ‘yoga of the mind’ help you find and explore new thoughts and thought processes, giving you ongoing courage to confront discomfort and realign consciousness beyond ego narratives? J. Eric Oliver is a professor of political science at the University of Chicago and is also the author of several books. His latest titles are How To Know Your Self: The Art & Science of Discovering Who You Really Are, Democracy in Suburbia, and Enchanted America: How Intuition & Reason Divide Our Politics. Greg and Eric discuss Eric’s popular Knowing Yourself course, combining neuroscience, Buddhism, philosophy, psychology, and reflective exercises. Eric explains the evolution of the class from abstract texts to practical self-inquiry aimed at expanding students’ vocabulary of lived experience, identifying unhelpful mental loops, and cultivating empathy by seeing the self as layered processes shared with other beings. He connects this work to his earlier research in Enchanted America on intuition, conspiracy beliefs, and the political rise of intuitionism, arguing that weakened institutional authority and information overload amplify anxiety. *unSILOed Podcast is produced by University FM.* Episode Quotes: The Gold Star illusion is not an end all be all 30:15: Most high achieving, intellectually engaged people, I think, are brought up with this Gold Star illusion, which is this thing that if I could just collect all of my gold stars, you know, go to the right schools, get the right job, find the right person, buy the right house, then this sort of happily ever after scenario awaits me. And then what most of us find is that even after we collect all these gold stars, the neurosis and anxieties and miseries don't go away. If anything, they become more profound. And so part of what I'm trying to do, at least with my undergraduates, is sort of say, okay, it's helpful if you can sort of, even if you're going to be on the Gold Star trajectory, because that's so powerfully inculcated into you to begin to realize that that's not going to be the end all be all. Because when you get to the end of that gold star rainbow and you realized, “oh, is this all there is?” You won't be at such a loss, and there won't be necessarily the same level of crisis that awaits you. There is no self as a noun, we are verbs 36:56: There is no self as a noun. We are verbs, we're processes, so we're continually unfolding. And this is great news because we're not stuck in any way. You're not a bad person, you're not a fixed person. Why the information age makes us anxious 20:06: With the explosion of our information technologies and the ability for someone who has a conspiracy theory to suddenly post things online and have just enormous reach that 20 years ago they wouldn't have, suddenly floods our discourse space with these alternative paradigms and these alternative ways of understanding the world, and the fact that we are so saturated now with information from around the globe. So how can we not be anxious? Show Links: Recommended Resources: Sigmund FreudBuddhismKnow thyselfIntuitionismRationalismGross National HappinessAlexis de TocquevilleYoga Guest Profile: Faculty Profile at The University of ChicagoJEricOliver.comSocial Profile on X Guest Work: Amazon Author PageHow To Know Your Self: The Art & Science of Discovering Who You Really AreDemocracy in SuburbiaEnchanted America: How Intuition & Reason Divide Our PoliticsLocal Elections and the Politics of Small-Scale DemocracyThe Paradoxes of Integration: Race, Neighborhood, and Civic Life in Multiethnic AmericaFat Politics: The Real Story behind America's Obesity EpidemicGoogle Scholar Page Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    59 mins
  • 631. A Physicist’s View on the Inherent Risks of Financial Modeling with Emanuel Derman

    631. A Physicist’s View on the Inherent Risks of Financial Modeling with Emanuel Derman
    Mar 18 2026
    What do particle physicists and Wall Street traders have in common? How did finance become more like physics, and how is physics now becoming more like finance? Emanuel Derman is an emeritus professor at Columbia in financial engineering and the author of several books, including My Life as a Quant: Reflections on Physics and Finance and Models. Behaving. Badly.: Why Confusing Illusion with Reality Can Lead to Disaster, on Wall Street and in Life. His work examines the entanglement of physics and finance, using memoir to reveal hidden truths about the theories and models practitioners rely on. Greg and Emanuel discuss his transition from physics to Wall Street, revealing that he found finance to be more social and creative. They also explore how early quant work required both theory and hands-on programming, what distinguishes models from theories, and why, despite some superficial similarities, the fields of finance and physics couldn’t be more different. *unSILOed Podcast is produced by University FM.* Episode Quotes: Financial models require confidence without hubris 29:29: In my life as a quant, I think I said you had to be cocky when you were using models and push them as far as you possibly could, but stop short of hubris, and I think that's important. You ought to understand that your model isn't going to be correct. In the end, the world is going to violate it. When physics meets social sciences 09:35: I think to some extent they [psychists] confuse accuracy with point of view. Even progressive theories get more and more accurate. Newton's laws aren't as accurate as relativity, but they still, both theories, the one just does better than the other, but they still have this nature of saying, let me describe the way the world works rather than, let me make an analogy. Why model builders must explain where models fail 30:46: There's a clear distinction between concentrators to tell the people that use it that this is where it's going to fail, as best I can see. And they'll use it in this regime. And these are the assumptions I'm making. Don't just let them run wild with the formula. I think traders are smarter now and more numerate and maybe understand this better, but I think that's important. Why financial engineers need perspective beyond mathematics 28:13: I don't think one should be teaching philosophy necessarily, but I think one should learn enough to know about the history of finance and to be able to back off a little and look at what you're doing. Not just, I don't know. I have a feeling more and more of the programs focus on mathematics and behavioral psychology. Show Links: Recommended Resources: Dictionary of Financial Risk ManagementSalomon BrothersJames Clerk MaxwellBaruch SpinozaJohann Wolfgang von GoetheFischer BlackBlack ScholesBlack Derman Toy modelPut call parityPaul WilmottBinomial options pricing modelMark RubinsteinFreeman Dyson Guest Profile: Faculty Profile at Columbia UniversityProfessional WebsiteProfessional Profile on X Guest Work: Brief Hours and Weeks: My Life as a CapetonianMy Life as a Quant: Reflections on Physics and FinanceThe Volatility Smile: An Introduction for Students and PractitionersModels. Behaving. Badly.: Why Confusing Illusion with Reality Can Lead to Disaster, on Wall Street and in Life Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    47 mins
  • 630. What Evolutionary Psychology Gets Wrong About Dating and Attraction with Paul Eastwick

    630. What Evolutionary Psychology Gets Wrong About Dating and Attraction with Paul Eastwick
    Mar 16 2026
    Romantic relationships are something uniquely human — we form attachments and perceive compatibility in ways no other species does. So what explains the idiosyncratic preferences people have for one potential partner over another? And why have popular conceptions based on evolutionary psychology been wrong about when it comes to how humans choose their mates? Psychology professor Paul Eastwick is the head of UC Davis’ Social-Personality Psychology program and the director of the Attraction and Relationships Research Lab. His book, Bonded by Evolution: The New Science of Love and Connection, challenges society’s core assumptions about attraction and compatibility, and presents new findings on the key to long-lasting commitment. He also co-hosts the podcast, Love Factually, with his colleague Eli Finkel, which explores the science of relationships through film. Paul and Greg discuss how a distorted view of evolutionary psychology has perpetuated inaccurate ideas about dating and relationships, the effect online dating has had on intensifying competition and gender differences, and some key tips for building strong, long-lasting connections. *unSILOed Podcast is produced by University FM.* Episode Quotes: Why dating apps can’t replace real romantic connections 39:57: The apps make you think like a romantic connection is right there. Like maybe it will be tonight. I would encourage people instead to think about what is it like just to hang out with other people and give the romantic possibilities some time to fall out of those networks a little bit more organically, a little bit more naturally. It takes a while. Like it can take quite a long time, especially like if we haven't been tending to our networks recently, but nevertheless, like this is at least an approach that people should be supplementing with their online dating if, if they're going to continue to use the apps. ​​Why are some couples happy and some are not? 22:46: Compatibility, how well two people fit together. That is probably explaining the lion’s share of why some couples are happy and some couples are not. Rather than this idea that like, oh, you got a good long-term partner, that's probably not the best way to think about it. Compatibility is something couples build together 25:17: Compatibility can be many, many things. It can be like, we seem to get along and coordinate well. It could be about our easy flowing conversation, but it also could be about how we get through the day. And often that's what relationships are. It's an interdependent web of goals and preferences and values that two people negotiate together. And it's very hard for people to know how that negotiation is going to turn out until they really dig in and start to try to do it. The evolutionary mismatch behind modern dating 45:44: What I think is deeply ironic is that some of the earliest evolutionary psychological findings happened to be the ones that reinforced the view that really fits this hierarchy idea, the mismatch component of it. So it's like, I love the idea of the evolutionary mismatch, thinking deeply about the environment in which we evolved. My problem is like a lot of the early ev psych ideas actually weren't doing that all that, all that well, that in reality, right? We evolved in small groups. You got to know a limited number of potential partners. There were going to be other people involved trying to shape, you know, who you spent time with and who you got to meet. It wasn't this dramatic marketplace of inequality. Show Links: Recommended Resources: The Moral Animal by Robert WrightJohn BowlbyQueen Victoria’s Costume Balls Guest Profile: Faculty Profile at UC DavisProfessional Website Guest Work: Bonded by Evolution: The New Science of Love and ConnectionLove Factually podcast Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    58 mins
  • 629. Beyond Happiness: The Deep Longing to Matter with Rebecca Goldstein

    629. Beyond Happiness: The Deep Longing to Matter with Rebecca Goldstein
    Mar 12 2026
    What if the tale of Genesis were reframed as a story of humanity’s ascent into awareness of mortality and entropy? How are both connectedness and a “mattering project” key to flourishing as an individual? Rebecca Goldstein is the author of several fiction and non-fiction books, including The Mattering Instinct: How Our Deepest Longing Drives Us and Divides Us, 36 Arguments for the Existence of God: A Work of Fiction, Plato at the Googleplex: Why Philosophy Won't Go Away, and The Mind-Body Problem. Greg and Rebecca discuss how the ideas in her new book, The Mattering Instinct, trace back to her novel, The Mind-Body Problem. Rebecca details a long-developed theory of human motivation: beyond survival and pleasure, humans are “creatures of matter who long to matter,” driven to justify themselves in their own eyes (homo justificans). To Rebecca, this is linked to self-reflection, theory of mind, and existential “absurdity.” This episode will outline some mattering strategies and also discuss personality links, ethics, and concerns about AI. *unSILOed Podcast is produced by University FM.* Episode Quotes: We are creatures of matter who long to matter 08:21: What we are are creatures of matter who long to matter. I love that we can do that in English. You know, we can't do it; it can't be replicated in other languages. But thank goodness for English, two amazing words: the noun matter and the verb matter. Why everyone needs to feel like they matter 04:23: Look, everybody needs to feel like they matter. Then there's a great diversity of ways in which we might try to prove to ourselves that we matter. The human search for values 15:11: Entering into this world of entropy, where everything eventually runs out of energy and does die, the universe itself will run out of energy and thermal equilibrium that awaits the universe, with that stepping out of paradise. They took on the burden, but the dignity of being human, of trying to justify becoming Homo Justific, becoming creatures who are in search of values that will justify them in their own eyes. We come up with a whole bunch of values, and we disagree tremendously about these values, but there's something so grand about being creatures who need values in order to be able to  live with themselves, even if they're bad values, but that we bring values into the universe because we are creatures longing to matter. Show Links: Recommended Resources: Ludwig WittgensteinAristotleBook of GenesisBaruch SpinozaEudaimoniaHappiness EconomicsSigmund FreudEntropySecond Law of ThermodynamicsTheory of MindBlaise Pascal“The unexamined life is not worth living.”DarwinismWilliam James Guest Profile: RebeccaGoldstein.comWikipedia ProfileProfile on the National Endowment for the Humanities Guest Work: Amazon Author PageThe Mattering Instinct: How Our Deepest Longing Drives Us and Divides UsIncompleteness: The Proof and Paradox of Kurt Gödel36 Arguments for the Existence of God: A Work of FictionPlato at the Googleplex: Why Philosophy Won't Go AwayThe Mind-Body ProblemBetraying Spinoza: The Renegade Jew Who Gave Us ModernityKurt GödelThe Dark SisterMazelProperties Of LightLate Summer Passion of a Woman of MindThe Mattering Map | Substack Newsletter Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    53 mins
  • 628. The Civic Bargain: Democracy, Knowledge, and the Challenge of Scale with Josiah Ober

    628. The Civic Bargain: Democracy, Knowledge, and the Challenge of Scale with Josiah Ober
    Mar 10 2026
    A key precondition for democracy is civic trust and commitment to common goods; polarization and party identity undermine this, worsened by modern communication technologies that enable separate realities. Josiah Ober is a professor of Political Science and Classics at Stanford University and also the author and co-author of several books about Athens, Civics, and Ancient Democracy. His latest title is The Civic Bargain: How Democracy Survives. Greg asks Josiah about his work linking ancient Athens to modern democracy and organizational design. Josiah argues that political science necessarily blends positive and normative theory, joining rational self-interest with ethical reasoning to secure both stability and the good. He also compares firms and states as purposeful organizations governed by rules, incentives, and norms, noting that democracies struggle to scale but can outperform hierarchies by aggregating dispersed knowledge if institutions align incentives and citizens share information. Josiah emphasizes civics as teachable skills—listening, bargaining, and positive-sum compromise. He makes an appeal for renewed civics education informed by history and classical thinkers, including a rehabilitated view of the sophists and strategic reasoning. *unSILOed Podcast is produced by University FM.* Episode Quotes: Why democracies know more than hierarchies 14:58: The democratic system, intrinsically, knows more than a highly hierarchical boss centered system, simply because those who see themselves as citizens have reason to share what they know. Those who are subjects have reasons to not share what they know. Therefore, it is possible for a democracy for reasons that, you know, Friedrich Hayek talked about in terms of why markets work, because all of that information comes together in, you know, producing a price, it is possible for well-structured democracies to bring in a great deal of information. From a great deal of people who have very different experiences, know different things, to solve the problems that they need to solve. Does democracy only work when the design is right? 15:45: You have to have the right kind of organization, not only of, sort of voting and so on, but of incentives for people to bring what they know to the right place at the right time, not to the wrong place at the wrong time. And that is hard to do. You get it right and you get this tremendous success. You get it wrong and it does not work very well. Politics should work like buying a car 32:22: When we go into the political regime space nowadays, it's that, well, compromise is bad now. We gave up, they won. The imagination now of politics is something like a football game in which there's a winner and a loser, and the winners cheer and the losers cry. But that's not what politics is. It is much more like buying a used car. Show Links: Recommended Resources: AristotleRobinson CrusoeFriedrich HayekAthenian DemocracyStanford Civics InitiativeLogosTechneSophistProtagorasThomas HobbesAlexander Hamilton Guest Profile: Faculty Profile at Stanford UniversityHoover Institution Profile Guest Work: Amazon Author PageThe Civic Bargain: How Democracy SurvivesThe Greeks and the Rational: The Discovery of Practical ReasonThe Threshold of Democracy: Athens in 403 BCEThe Athenian Revolution: Essays on Ancient Greek Democracy and Political TheoryAthenian Legacies: Essays on the Politics of Going On TogetherPolitical Dissent in Democratic Athens: Intellectual Critics of Popular RuleDemocracy and Knowledge: Innovation and Learning in Classical AthensMass and Elite in Democratic Athens: Rhetoric, Ideology, and the Power of the PeopleOrigins of Democracy in Ancient GreeceA Company of Citizens: What the World's First Democracy Teaches Leaders About Creating Great OrganizationsGoogle Scholar Page Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    55 mins