unSILOed with Greg LaBlanc

Greg La Blanc

unSILOed is a series of interdisciplinary conversations that inspire new ways of thinking about our world. Our goal is to build a community of lifelong learners addicted to curiosity and the pursuit of insight about themselves and the world around them.*unSILOed Podcast is produced by University FM.*

  1. 638. Why Nothing Works: How Progressivism’s Split Led to Today's Governance Gridlock with Marc J. Dunkelman

    10 H FA

    638. Why Nothing Works: How Progressivism’s Split Led to Today's Governance Gridlock with Marc J. Dunkelman

    How is governance dysfunction linked to declining ‘middle-ring’ community ties?  Marc J. Dunkelman is a fellow at Brown University and a fellow at the Searchlight Institute in Washington, D.C. Marc is also the author of two books, Why Nothing Works: Who Killed Progress—and How to Bring It Back and The Vanishing Neighbor: The Transformation of American Community. Greg and Marc discuss how U.S. progressivism has long been split between a Jeffersonian impulse to decentralize power and curb “bigness” and a Hamiltonian impulse to centralize authority in expert institutions. Marc explains how figures like Robert Moses could push projects through, while today expanded rights, litigation, and procedural checks—driven by 1960s–70s distrust of authority (Vietnam, civil rights failures, environmental and consumer scandals, Watergate-era culture)—have reduced discretion so much that even widely supported projects stall.  *unSILOed Podcast is produced by University FM.* Episode Quotes: Why is it so hard to build things? 44:34: You're awarding rights to classes of individuals who have long been stepped on by powerful people. And, like, award these new standing. Exactly. To your point, in order to reduce the discretion of the would-be Robert Moses, who would make that choice on their own without ever really thinking through, alright, now that all these people have, like, a voice, how are we going to resolve that? And to this day, I don't think the progressives have actually answered that question. I don't think that we have in our minds even a system by which you would make trade-offs between those groups. And it's one of the reasons, to your point, it's so hard to build things, like, if everyone wants that new road to be built, but each individual constituency has enough power to say, not through this particular route, you're fundamentally stuck. What motivated Marc to write “Why Nothing Works.” 05:07: The motivation here was to understand what had changed between the fifties and the 2010s, to make it so that it used to be that bad projects couldn't be stopped, and now good projects couldn't go. That prompted a whole series of questions that eventually would lead to this book, Why Nothing Works. On tension within progressivism 36:28: There is sort of a notion that centralized power itself is up to no good, and that, in order for America to restore its promise and luster, we need to restore the power, the individual agency that people once had. And, I want to make this clear: that shift is remarkably profound within progressivism, but it is not that the old effort to centralize power wasn't progressive. And it's not that this new impulse to restore power to the woman who wants to control her own body, to the black family that wants to be able to rent a room in any hotel of their choosing, to the ordinary person who doesn't want to be the victim of discrimination, to the neighborhood that doesn't wanna be clobbered by, like—these are both ultimately progressive impulses. Show Links: Recommended Resources: The Power Broker Robert Moses Progressivism Louis Brandeis Sacco and Vanzetti Felix Frankfurter Cadillac Desert Bowling Alone Abundance Guest Profile: Faculty Profile at the Watson School of International and Public Affairs Searchlight Institute LinkedIn Profile Social Profile on X Guest Work: Amazon Author Page Why Nothing Works: Who Killed Progress—and How to Bring It Back The Vanishing Neighbor: The Transformation of American Community Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    1h 9m
  2. 637. AI and the Human Mind: Exploring Surprising Parallels with Christopher Summerfield

    4 GG FA

    637. AI and the Human Mind: Exploring Surprising Parallels with Christopher Summerfield

    When AI tells us what we want to hear, is it acting in a rogue way, or is it emulating behavior that society clearly values? How does our ability to sleep enable us to update faster than neural networks currently can, and what will be different when they can update themselves more frequently? Christopher Summerfield is a professor of cognitive neuroscience at Oxford University, the Research Director at the UK’s AI Safety Institute, and the author of the book These Strange New Minds: How AI Learned to Talk and What It Means. Christopher and Greg discuss the historical split between symbolic, rule-based “rationalist” AI and data-driven “empiricist” learning, arguing that the recent success of large models vindicates the latter despite earlier skepticism. They discuss how structured behavior can emerge from messy networks, how modern models are trained with reinforcement learning to produce step-by-step reasoning, and why systems often “make” solutions by writing code rather than routing to specialized tools.  *unSILOed Podcast is produced by University FM.* Episode Quotes: From messy brains to intelligent machines 04:40: If you look inside the brain, your brain and mine and the brains of other biological species, they're really messy. They're like really, really messy and unstructured. So nature managed to solve the problem. And so maybe that gave impetus for this movement to kind of, you know, continue to sort of plug away. And when we finally got computers big enough to process lots and lots of data, it started to take off. And the rest is history. Hallucinations aren’t just an AI problem 34:36: How does the model know what is the kind of socially or culturally appropriate response?  We're often very worried about the models,  like, the models don't tell the truth and  they make stuff up.  But people forget that most of language is literally making stuff up. That is what you do when you open your mouth. Is language more powerful than we thought? 32:05: The surprising thing is that language, it turns out, is sufficiently rich and expressive that if you have it in huge volumes and you process it effectively, then you can actually make a whole bunch of inferences about the world, which are surprisingly accurate. So you would think that you would need to actually experience them firsthand rather than just through hearsay, because we work like that, right? Like we rely on our senses. Of course, we rely on hearsay a little bit, and we think about what other people say, and it allows us to infer new things. But like the models just have language, well, I mean now they have multimodal data, but let's take a conversational agents lms, and what I think has been so surprising is that language contains enough structure that you can really uncover patterns of information that you would think that you would need to see. Show Links: Recommended Resources: Rationalism Empiric School George Bull Frank Rosenblatt Neural Network (machine learning) Marvin Minsky Perceptron GPTs Guest Profile: Human Information Processing Lab Social Profile on X Guest Work: These Strange New Minds: How AI Learned to Talk and What It Means Google Scholar Page Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    59 min
  3. 636. Rediscovering Virtue the Renaissance Way with James Hankins

    6 GG FA

    636. Rediscovering Virtue the Renaissance Way with James Hankins

    It’s one of the oldest debates in political philosophy: Do good laws make good men, or do good men make good laws? Minds have been wrestling with this question since the days of Petrarch and Machiavelli, but both sides may have insights that can inform modern political philosophy. James Hankins is a professor of history at Harvard University, a visiting professor of humanities at the University of Florida’s Hamilton School, and author of numerous books including Virtue Politics: Soulcraft and Statecraft in Renaissance Italy and Political Meritocracy in Renaissance Italy: The Virtuous Republic of Francesco Patrizi of Siena. He’s also the co-author of the textbook, The Golden Thread, which focuses on the history of Western civilization.  Greg and James discuss Renaissance humanism, sparked by Petrarch’s response to 14th‑century crises, and explore the humanist education focused on virtue, rhetoric, and moral philosophy. They also delve into Machiavelli’s critiques and pushback against humanism, how Chinese Confucianism compares with the West’s legal system, and why James believes virtue should be brought back into modern education. *unSILOed Podcast is produced by University FM.* Episode Quotes: Why we need both systems and good character 11:47: I think I agree with the people who think there should be a balance between good character and the formation of good character and expertise and wisdom and competence and the people who say that systems can solve all your problems and you just get the right systems and thinkful function. I think that is a very, kind of left, left hemispheric way of understanding human nature. Good law is nothing without good people 07:59: If you have great laws, but corrupt judges, you are going to have bad laws. If you have laws being written by corrupt people, that is even worse. So the humanist is saying the whole problem is, the human heart, right? This is where the problem is. And what we have to do is to bring back antiquity. Is democracy only the legitimate form of government? 47:14: Today, we might say that a democracy is the only legitimate form of government where a republic reflects the will of the people. But they would not say that in the Renaissance. They talk about better and worse, that monarchs are better when you have got a good monarch. But when you have a bad monarch, the monarch of the republic is better. It is that kind of calculation. It is not the way we think about political regimes today as being, legitimate or illegitimate. Show Links: Recommended Resources: Petrarch Francesco Patrizi Niccolò Machiavelli Isocrates Lorenzo Valla Thomas Aquinas Cola di Rienzo Guest Profile: Faculty Profile at Harvard University Faculty Profile at Hamilton School at the University of Florida Professional Website Guest Work: Virtue Politics: Soulcraft and Statecraft in Renaissance Italy The Cambridge Companion to Renaissance Philosophy Political Meritocracy in Renaissance Italy: The Virtuous Republic of Francesco Patrizi of Siena The Golden Thread: A History of the Western Tradition, Volume I: The Ancient World and Christendom Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    1h 9m
  4. 635. The Psychology of Computers with Tom Griffiths

    30 MAR

    635. The Psychology of Computers with Tom Griffiths

    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 Maher John B. Watson  B. F. Skinner Jerome Bruner  John von Neumann Herbert A. Simon  Noam Chomsky Allen Newell Frank Rosenblatt Marvin Minsky “Embers of autoregression show how large language models are shaped by the problem they are trained to solve” - Paper Roger Shepard Jeffrey Elman Been Kim Guest Profile: Faculty Profile at Princeton University Computational Cognitive Science Lab Professional 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.

    52 min
  5. 634. Gaming Life: The Philosophy of Play and Metrics with C. Thi Nguyen

    27 MAR

    634. Gaming Life: The Philosophy of Play and Metrics with C. Thi Nguyen

    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 Huizinga Lusory Attitude Dungeons & Dragons John Dewey Goodhart's Law Onora O'Neill John Thorne Theodore Porter Autotelic Diagnostic and Statistical Manual of Mental Disorders (DSM) Guest Profile: Faculty Profile at the University of Utah Thi Nguyen’s Website Wikipedia Profile Social Profile on X Guest Work: Amazon Author Page The Score: How to Stop Playing Somebody Else's Game The Routledge Handbook of Philosophy of Games Games: 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.

    1 h
  6. 633. The Case for Being Human in a Digital World with Christine Rosen

    25 MAR

    633. The Case for Being Human in a Digital World with Christine Rosen

    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 Benjamin Theodor W. Adorno Jean Baudrillard Neil Postman Ready Player One Robert Nozick  Experiece machine Sherry Turkle Christopher Lasch Nicholas Carr’s The Mirrorball Self Guest Profile: Fellow Profile at American Enterprise Institute Guest Work: The Extinction of Experience My Fundamentalist Education Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    53 min
  7. 632. Knowing Yourself, Intuition vs. Reason, and the Crisis of Modern Meaning with J. Eric Oliver

    23 MAR

    632. Knowing Yourself, Intuition vs. Reason, and the Crisis of Modern Meaning with J. Eric Oliver

    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 Freud Buddhism Know thyself Intuitionism Rationalism Gross National Happiness Alexis de Tocqueville Yoga Guest Profile: Faculty Profile at The University of Chicago JEricOliver.com Social Profile on X Guest Work: Amazon Author Page How To Know Your Self: The Art & Science of Discovering Who You Really Are Democracy in Suburbia Enchanted America: How Intuition & Reason Divide Our Politics Local Elections and the Politics of Small-Scale Democracy The Paradoxes of Integration: Race, Neighborhood, and Civic Life in Multiethnic America Fat Politics: The Real Story behind America's Obesity Epidemic Google Scholar Page Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    59 min
  8. 631. A Physicist’s View on the Inherent Risks of Financial Modeling with Emanuel Derman

    18 MAR

    631. A Physicist’s View on the Inherent Risks of Financial Modeling with Emanuel Derman

    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 Management Salomon Brothers James Clerk Maxwell Baruch Spinoza Johann Wolfgang von Goethe Fischer Black Black Scholes Black Derman Toy model Put call parity Paul Wilmott Binomial options pricing model Mark Rubinstein Freeman Dyson Guest Profile: Faculty Profile at Columbia University Professional Website Professional Profile on X Guest Work: Brief Hours and Weeks: My Life as a Capetonian My Life as a Quant: Reflections on Physics and Finance The Volatility Smile: An Introduction for Students and Practitioners Models. 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.

    47 min
Elenco completo (600)

Descrizione

unSILOed is a series of interdisciplinary conversations that inspire new ways of thinking about our world. Our goal is to build a community of lifelong learners addicted to curiosity and the pursuit of insight about themselves and the world around them.*unSILOed Podcast is produced by University FM.*

Informazioni

  • Creatore
    Greg La Blanc
  • Anni di attività
    2021 - 2026
  • Puntate
    600
  • Classificazione
    Contenuti adatti a tutti
  • Copyright
    © All rights reserved.
  • Sito web del podcast
    unSILOed with Greg LaBlanc

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