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    Science

    Clearer Thinking with Spencer Greenberg

    Clearer Thinking is a podcast about ideas that truly matter. If you enjoy learning about powerful, practical concepts and frameworks, wish you had more deep, intellectual conversations in your life, or are looking for non-BS self-improvement, then we think you’ll love this podcast! Each week we invite a brilliant guest to bring four important ideas to discuss for an in-depth conversation. Topics include psychology, society, behavior change, philosophy, science, artificial intelligence, math, economics, self-help, mental health, and technology. We focus on ideas that can be applied right now to make your life better or to help you better understand yourself and the world, aiming to teach you the best mental tools to enhance your learning, self-improvement efforts, and decision-making. • We take on important, thorny questions like: • What’s the best way to help a friend or loved one going through a difficult time? How can we make our worldviews more accurate? How can we hone the accuracy of our thinking? What are the advantages of using our “gut” to make decisions? And when should we expect careful, analytical reflection to be more effective? Why do societies sometimes collapse? And what can we do to reduce the chance that ours collapses? Why is the world today so much worse than it could be? And what can we do to make it better? What are the good and bad parts of tradition? And are there more meaningful and ethical ways of carrying out important rituals, such as honoring the dead? How can we move beyond zero-sum, adversarial negotiations and create more positive-sum interactions?

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    Latest Episodes:
    Is evolutionary psychology just a bunch of "just so" stories? (with Geoffrey Miller) Sep 13, 2023
    Show notes

    Read the full transcript here.

    Why do even people who accept evolutionary explanations for most biological phenomena often push back against evolutionary explanations for human psychology? To what extent should humans adjust their behavior in light of evopsych findings? How do evopsych researchers avoid formulating "just so" stories to explain specific behaviors? What can we infer about human behavior from the behaviors of chimps, bonobos, gorillas, or orangutans? What is the evopsych view of incest (which most people seem to find disgusting but which is also one of the most popular porn categories)? Are emotions primarily shaped by evolution or by culture? How can evopsych findings be applied to everyday things like dating? A safely-aligned AI system should presumably support the majority of human values; so how should AI alignment researchers think about religious values, which are generally held by the majority of humans but which differ radically in their specifics from group to group? What are some other rarely-considered AI alignment blind spots?

    Geoffrey Miller is an evolutionary psychologist best known for his books The Mating Mind (2001), Mating Intelligence (2008), Spent (2009), and Mate (2015). He also has over 110 academic publications addressing sexual selection, mate choice, signaling theory, fitness indicators, consumer behavior, marketing, intelligence, creativity, language, art, music, humor, emotions, personality, psychopathology, and behavior genetics. He holds a B.A. in biology and psychology from Columbia University and a Ph.D. in cognitive psychology from Stanford University, and he is a tenured associate professor at University of New Mexico. Follow him on Twitter at @primalpoly, or find out more about him on his website, primalpoly.com.

    Staff

    • Spencer Greenberg — Host / Director
    • Josh Castle — Producer
    • Ryan Kessler — Audio Engineer
    • Uri Bram — Factotum
    • WeAmplify — Transcriptionists
    • Miles Kestran — Marketing

    Music

    • Broke for Free
    • Josh Woodward
    • Lee Rosevere
    • Quiet Music for Tiny Robots
    • wowamusic
    • zapsplat.com

    Affiliates

    • Clearer Thinking
    • GuidedTrack
    • Mind Ease
    • Positly
    • UpLift

    Systems of governance built on prediction markets (with Robin Hanson) Sep 07, 2023
    Show notes

    Read the full transcript here.

    What is futarchy? Why does it seem to be easier to find social innovations rather than technical innovations? How does it differ from democracy? In what ways might a futarchy be gamed? What are some obstacles to implementing futarchy? Do we actually like for our politicians to be hypocritical to some degree? How mistaken are we about our own goals for social, political, and economic institutions? Do we enjoy fighting (politically) more than actually governing well and improving life for everyone? What makes something "sacred"? What is a tax career agent?

    Robin Hanson is associate professor of economics at George Mason University and research associate at the Future of Humanity Institute of Oxford University. He has a doctorate in social science from California Institute of Technology, master's degrees in physics and philosophy from the University of Chicago, and nine years experience as a research programmer at Lockheed and NASA. He has over ninety academic publications in major journals across a wide variety of fields and has written two books: The Age of Em: Work, Love and Life When Robots Rule the Earth (2016), and The Elephant in the Brain: Hidden Motives in Everyday Life (2018, co-authored with Kevin Simler). He has pioneered prediction markets, also known as information markets and idea futures, since 1988; and he suggests "futarchy" as a form of governance based on prediction markets. He also coined the phrase "The Great Filter" and has recently numerically estimated it via a model of "Grabby Aliens". Learn more about Robin at his GMU page or follow him on the-website-formerly-known-as-Twitter at @robinhanson.

    Staff

    • Spencer Greenberg — Host / Director
    • Josh Castle — Producer
    • Ryan Kessler — Audio Engineer
    • Uri Bram — Factotum
    • WeAmplify — Transcriptionists
    • Miles Kestran — Marketing

    Music

    • Broke for Free
    • Josh Woodward
    • Lee Rosevere
    • Quiet Music for Tiny Robots
    • wowamusic
    • zapsplat.com

    Affiliates

    • Clearer Thinking
    • GuidedTrack
    • Mind Ease
    • Positly
    • UpLift

    Using metacognitive therapy to break the habit of rumination (with Pia Callesen) Aug 30, 2023
    Show notes

    Read the full transcript here.

    What is metacognitive therapy? How does MCT differ from CBT, DBT, and other mental health therapy paradigms? How do we know we're spending time worrying about the right things? How much time spent worrying is actually useful? How aware are we of our own tendencies to ruminate on certain negative thoughts? Does MCT avoid all content-based problem-solving? What is the state of the evidence for MCT?

    Dr. Pia Callesen is one of Denmark's most educated and experienced metacognitive psychologists. She has more than 25 years of experience as a therapist and has completed the official 2-year metacognitive certification training in Manchester at the MCT Institute and the subsequent 1-year advanced level masterclass in Oxford by Professor Adrian Wells. At the end of 2016, she completed her PhD at Manchester University with Professor Adrian Wells. The PhD contained a large randomised controlled trial with research into the effects of metacognitive therapy treatment for depression.

    Resources:

    • CEKTOS: Pia's clinic that offers online 1:1 and groups
    • The international list of MCTI Registered therapists

    Staff

    • Spencer Greenberg — Host / Director
    • Josh Castle — Producer
    • Ryan Kessler — Audio Engineer
    • Uri Bram — Factotum
    • WeAmplify — Transcriptionists
    • Miles Kestran — Marketing

    Music

    • Broke for Free
    • Josh Woodward
    • Lee Rosevere
    • Quiet Music for Tiny Robots
    • wowamusic
    • zapsplat.com

    Affiliates

    • Clearer Thinking
    • GuidedTrack
    • Mind Ease
    • Positly
    • UpLift

    How quickly is AI advancing? And should you be working in the field? (with Danny Hernandez) Aug 23, 2023
    Show notes

    Read the full transcript here.

    Along what axes and at what rates is the AI industry growing? What algorithmic developments have yielded the greatest efficiency boosts? When, if ever, will we hit the upper limits of the amount of computing power, data, money, etc., we can throw at AI development? Why do some people seemingly become fixated on particular tasks that particular AI models can't perform and draw the conclusion that AIs are still pretty dumb and won't be taking our jobs any time soon? What kinds of tasks are more or less easily automatable? Should more people work on AI? What does it mean to "take ownership" of our friendships? What sorts of thinking patterns employed by AI engineers can be beneficial in other areas of life? How can we make better decisions, especially about large things like careers and relationships?

    Danny Hernandez was an early AI researcher at OpenAI and Anthropic. He's best known for measuring macro progress in AI. For example, he helped show that the compute of the largest training runs was growing at 10x per year between 2012 and 2017. He also helped show an algorithmic equivalent of Moore's Law that was faster, and he's done work on scaling laws and mechanistic interpretability of learning from repeated data. He is currently focused on alignment research.

    Staff

    • Spencer Greenberg — Host / Director
    • Josh Castle — Producer
    • Ryan Kessler — Audio Engineer
    • Uri Bram — Factotum
    • WeAmplify — Transcriptionists
    • Miles Kestran — Marketing

    Music

    • Broke for Free
    • Josh Woodward
    • Lee Rosevere
    • Quiet Music for Tiny Robots
    • wowamusic
    • zapsplat.com

    Affiliates

    • Clearer Thinking
    • GuidedTrack
    • Mind Ease
    • Positly
    • UpLift

    Can we choose who we are? (with Gavin Leech) Aug 16, 2023
    Show notes

    Read the full transcript here.

    Can we really deeply change who we are? Can we choose our preferences, intrinsic values, or personality more generally? What are some interventions people might use to make big changes in their lives? Why might it be harder to be a generalist than a specialist? What are some of the most well-known "findings" from the social sciences that have failed to replicate? Do some replications go too far? Should we just let Twitter users take over the peer-review process? Why hasn't forecasting made major inroads into (e.g.) government yet? Why does it seem like companies sometimes commission forecasts and then ignore them? How worried should we be about deepfakes?

    Gavin Leech cofounded the consultancy Arb Research. He's also a PhD candidate in AI at the University of Bristol, a head of camp at the European Summer Programme on Rationality, and a blogger at gleech.org. He's internet famous for collecting hundreds of failed replications in psychology and for having processed most of Isaac Asimov's nonfiction of the mid-twentieth-century to score his predictive performance.

    Amendments:

    • Gavin says: "Google shut down their 2007 market, Prophit, but they started another one in 2020 called Gleangen. It's also not going well."

    Further reading

    • "Long-term stability in the Big Five personality traits in adulthood" by Johanna Rantanen, Riitta-Leena Metsäpelto, Taru Feldt, Lea Pulkkinen, and Katja Kokko

    Staff

    • Spencer Greenberg — Host / Director
    • Josh Castle — Producer
    • Ryan Kessler — Audio Engineer
    • Uri Bram — Factotum
    • WeAmplify — Transcriptionists
    • Miles Kestran — Marketing

    Music

    • Broke for Free
    • Josh Woodward
    • Lee Rosevere
    • Quiet Music for Tiny Robots
    • wowamusic
    • zapsplat.com

    Affiliates

    • Clearer Thinking
    • GuidedTrack
    • Mind Ease
    • Positly
    • UpLift

    Normalizing catastrophes and catastrophizing normalcy (with Mike Pesca) Aug 09, 2023
    Show notes

    Read the full transcript here.

    Besides the need to attract attention, what are some other drivers behind the news media's tendency to "catastrophize the normal"? To what extent does paltering take place on the politically left and right ends of the new media spectrum? Should journalists try to be as objective and unbiased as possible, or should they strive to make a difference in the world by highlighting particular issues that are important to them? Is the US on the verge of a civil war? Are prophecies of civil war self-fulfilling? Is it (and should it be) okay to reference certain taboo phrases by saying them explicitly? To what extent do journalists pull their punches because they fear angering the wrong crowd?

    Mike Pesca is host of The Gist, the longest running daily news podcast in history, consistently ranked in Apple's Top 20 Daily News charts. During his 10 years as a correspondent for NPR, Mike guest hosted All Things Considered and the news quiz Wait, Wait, Don’t Tell Me. His work has been featured on This American Life, Radiolab, and Planet Money. He has frequently appeared on MSNBC, CNN, and The PBS Newshour, and written for The Washington Post, The Guardian, GQ, Slate, and Baseball Prospectus. Listen to Mike on The Gist, or follow him on Twitter at @pescami.

    Staff

    • Spencer Greenberg — Host / Director
    • Josh Castle — Producer
    • Ryan Kessler — Audio Engineer
    • Uri Bram — Factotum
    • WeAmplify — Transcriptionists
    • Miles Kestran — Marketing

    Music

    • Broke for Free
    • Josh Woodward
    • Lee Rosevere
    • Quiet Music for Tiny Robots
    • wowamusic
    • zapsplat.com

    Affiliates

    • Clearer Thinking
    • GuidedTrack
    • Mind Ease
    • Positly
    • UpLift

    What's wrong with society, and how can we fix it? (with Tim Urban) Aug 02, 2023
    Show notes

    Read the full transcript here.

    What's wrong with society? And what can we do to fix it? Centuries ago, a person's grandparents lived in a world that was basically identical to that person's world; but what are the implications of living in a time when the rate of technological change is such that our grandparents' world was almost nothing like ours, and ours will be almost nothing like our grandchildren's? How do Tim's concepts of the "primitive mind" and the "higher mind" map onto System 1 and System 2 thinking types? What thinking styles exist along the spectrum from primitive mind to higher mind? Why are there either lots of Nazis or virtually none at all? Are there more "golems" or "genies" in the world right now? Are the American political left and right wings just equal but opposite groups, or are there significant asymmetries between them? How does social justice activism differ from "wokeness"? What is "idea supremacy"? Does liberalism need to be destroyed and rebuilt from scratch (perhaps as something else entirely) or merely repaired and revamped? Is illiberalism the biggest threat facing the world right now — bigger even than AI, climate change, etc.?

    Tim Urban is the writer/illustrator and co-founder of Wait But Why, a long-form, stick-figure-illustrated website with over 600,000 subscribers and a monthly average of half a million visitors. He has produced dozens of viral articles on a wide range of topics, from artificial intelligence to social anxiety to humans becoming a multi-planetary species. Tim's 2016 TED main stage talk is the third most-watched TED talk in history with 67 million views. In 2023, Tim published his bestselling book What's Our Problem? A Self Help Book for Societies.

    Staff

    • Spencer Greenberg — Host / Director
    • Josh Castle — Producer
    • Ryan Kessler — Audio Engineer
    • Uri Bram — Factotum
    • WeAmplify — Transcriptionists
    • Miles Kestran — Marketing

    Music

    • Broke for Free
    • Josh Woodward
    • Lee Rosevere
    • Quiet Music for Tiny Robots
    • wowamusic
    • zapsplat.com

    Affiliates

    • Clearer Thinking
    • GuidedTrack
    • Mind Ease
    • Positly
    • UpLift

    AI creativity and love (with Joel Lehman) Jul 26, 2023
    Show notes

    Read the full transcript here.

    Where does innovation come from? How common is it for "lone wolf" scientists to make large leaps in innovation by themselves? How can we imbue AIs with creativity? Or, conversely, how can we apply advances in AI creativity to our own personal creative processes? How do creative strategies that work well for individuals differ from creative strategies that work well for groups? To what extent are models like DALL-E and ChatGPT "creative"? Can machines love? Or can they only ever pretend to love? We've worried a fair bit about AI misalignment; but what should we do about the fact that so many humans are misaligned with humanity's own interests? What might it mean to be "reverent" towards science?

    Joel Lehman is a machine learning researcher interested in algorithmic creativity, AI safety, artificial life, and intersections of AI with psychology and philosophy. Most recently he was a research scientist at OpenAI co-leading the Open-Endedness team (studying algorithms that can innovate endlessly). Previously he was a founding member of Uber AI Labs, first employee of Geometric Intelligence (acquired by Uber), and a tenure track professor at the IT University of Copenhagen. He co-wrote with Kenneth Stanley a popular science book called Why Greatness Cannot Be Planned on what AI search algorithms imply for individual and societal accomplishment. Follow him on Twitter at @joelbot3000 or email him at lehman.154@gmail.com.

    Further reading

    • "Machine Love" by Joel Lehman

    Staff

    • Spencer Greenberg — Host / Director
    • Josh Castle — Producer
    • Ryan Kessler — Audio Engineer
    • Uri Bram — Factotum
    • WeAmplify — Transcriptionists
    • Miles Kestran — Marketing

    Music

    • Broke for Free
    • Josh Woodward
    • Lee Rosevere
    • Quiet Music for Tiny Robots
    • wowamusic
    • zapsplat.com

    Affiliates

    • Clearer Thinking
    • GuidedTrack
    • Mind Ease
    • Positly
    • UpLift

    Glimpses of enlightenment through nondual meditation (with Michael Taft and Jeremy Stevenson) Jul 19, 2023
    Show notes

    Read the full transcript here.

    How does nondual meditation differ from other forms of meditation? Is nonduality the sort of thing a person can just "get" immediately? What value is provided by the more effortful, less "sudden" forms of meditation? Is there such a thing as full or complete enlightenment? And what would such a state entail? To what extent do nondual meditation teachers agree about what nonduality is? Are glimpses of enlightenment available to everyone? How long does it usually take a person to stabilize their ability to return to a nondual way of seeing the world? What are some common ways people get "stuck" while learning nondual meditation? How important are meditation retreats? Though the paths themselves are obviously quite distinct from one another, do all forms of meditation ultimately share a common goal? How are all of these things related to spirituality or religion?

    Michael Taft is a teacher of nondual meditation and host of the Deconstructing Yourself podcast and website. He is the author of The Mindful Geek, and co-founder of The Alembic, a Berkeley-based center for meditation, movement, citizen neuroscience, and visionary culture. Having lived all over the world and practiced deeply in several traditions, Michael currently makes his home in California. Email him at michaeltaft@gmail.com, or learn more about him at his website, deconstructingyourself.com.

    Jeremy Stevenson hails from Adelaide, Australia, and has a PhD in clinical psychology with a dissertation focused on the effects of self-compassion on social anxiety. During his PhD he became intensely interested in meditation, sitting several shorter retreats which eventually culminated in sitting longer retreats, including a 3-month retreat in Nepal. He is now working as a clinical psychologist as well as doing research work for Spark Wave. His ongoing meditation interest is the perplexing skill of nondual mindfulness. Visit his website, or listen to his previous episode on this podcast here.

    Staff

    • Spencer Greenberg — Host / Director
    • Josh Castle — Producer
    • Ryan Kessler — Audio Engineer
    • Uri Bram — Factotum
    • WeAmplify — Transcriptionists
    • Miles Kestran — Marketing

    Music

    • Broke for Free
    • Josh Woodward
    • Lee Rosevere
    • Quiet Music for Tiny Robots
    • wowamusic
    • zapsplat.com

    Affiliates

    • Clearer Thinking
    • GuidedTrack
    • Mind Ease
    • Positly
    • UpLift

    Crumbling institutions, culture wars, and the dismissal economy (with Ashley Hodgson) Jul 12, 2023
    Show notes

    Read the full transcript here.

    What is the New Enlightenment? What might it mean to improve our epistemics with regard to institutions? How should we fix imbalanced salience in contexts where misinformation is a problem (like news media)? How have the economics of institutions deteriorated? How can we continually reinvigorate systems so that they remain ungameable and resistant to runaway feedback loops? In the context of government in particular, how can we move away from "one dollar, one vote" and back towards "one person, one vote"? At what levels or layers should institutional interventions be applied? What can we do to increase trust across social differences and reduce contempt among groups? Under what conditions is it rational to feel contempt for an out-group? How can we make conflict and "dunking" less appealing, and make openmindedness and careful consideration more appealing? What is the "dismissal" economy? How can we deal with information overload? How might the adversarial economic model be used to improve academia?

    Ashley Hodgson is an Associate Professor of Economics and a YouTuber. She teaches behavioral economics, digital industries, health care economics, and blockchain economics. Her YouTube channel, The New Enlightenment, explores topics related to economics, governance, and epistemics — that is, the determination of truth and validity — in a world of social media and increasing power concentration. She also has another YouTube channel with her economics lectures.

    Staff

    • Spencer Greenberg — Host / Director
    • Josh Castle — Producer
    • Ryan Kessler — Audio Engineer
    • Uri Bram — Factotum
    • WeAmplify — Transcriptionists
    • Miles Kestran — Marketing

    Music

    • Broke for Free
    • Josh Woodward
    • Lee Rosevere
    • Quiet Music for Tiny Robots
    • wowamusic
    • zapsplat.com

    Affiliates

    • Clearer Thinking
    • GuidedTrack
    • Mind Ease
    • Positly
    • UpLift

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