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Clearer Thinking with Spencer Greenberg

Author: Spencer Greenberg

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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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Read the full transcript here. How easy is it to shift our baseline level of happiness? What sorts of things can most effectively shift that baseline? And are they highly specific to each individual or generalizable to most people? What are the differences between conceptual and phenomenal self-love? Why might it be useful to view shame as a kink? How does self-love or self-acceptance differ from indulging or even just tolerating the worst parts of yourself? What's the best way to think about "woo"? How genuine is the stereotypical guru demeanor of serenity, graciousness, and attentiveness? Is it possible for people with aphantasia to learn visualization? What's so interesting about perfume? What can people do to become better writers?Sasha Chapin is a writer currently living in California. Most of his recent writing is on his Substack. His most popular posts there are "What the humans like is responsiveness" and "50 Things I Know". He also wrote a book called All the Wrong Moves: A Memoir About Chess, Love, and Ruining Everything. Learn more about him at his website, sashachapin.com, or follow him on Twitter / X at @sashachapin.Further reading:Cate Hall's Clearer Thinking episodeLoch Kelly's Clearer Thinking episodeMind's Eye Development eCourse — the course that helped Sasha overcome aphantasiaLoving What Is: Four Questions That Can Change Your Life, by Byron KatieExpanding Awareness, by Michael AshcroftDifficult Conversations: How to Discuss What Matters Most, by Douglas Stone, Bruce Patton, and Sheila Heen StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift[Read more]
Read the full transcript here. How does Emmett's worldview differ from the standard Silicon Valley worldview? What's the difference between an ideology and a worldview? What's middle management useful for? How might democracy be improved? How important is optimism? Why do people seem to get less done each day than they expect to get done? When is high variance beneficial? Does every startup have a point where it seems like they're going to fail? What's the best and worst startup advice out there? What's the right way to learn from users / customers? When should companies follow trends? How should we think about the different types of AI risks?Emmett Shear is an entrepreneur and investor. He was part of the first class at Y Combinator in 2005. He co-founded Justin.tv in 2006 and its spin-off company Twitch in 2011. In the same year, he also became a part-time partner at Y Combinator, a role in which he continues to advise new startups. He very briefly (for 2.5 days) acted as interim CEO at OpenAI in November 2023. Follow him on Twitter / X at @eshear. StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsAlexandria D. — Research and Special Projects AssistantMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift[Read more]
Read the full transcript here. Should people spend more time becoming better decision-makers? What are the main things that determine how our lives turn out? What's wrong with pro / con lists? When should we deviate from making decisions based on expected value calculations? What kinds of uncertainty might we encounter in the decision-making process? Are explicit decision calculations self-defeating? How similar is intuitive decision-making to decision-making that's based on calculations? How useful are heuristics? How can we know which decisions are significant enough to warrant calculations? What makes a decision hard? What's the omission / commission bias? What lessons can we learn from monkeys and pedestals? Should decision-making strategies be taught in primary and secondary schools?Annie Duke is an author, speaker, and consultant in the decision-making space, as well as Special Partner focused on Decision Science at First Round Capital Partners, a seed stage venture fund. Her latest book, Quit: The Power of Knowing When to Walk Away, was released in 2022 from Portfolio, a Penguin Random House imprint. Her previous book, Thinking in Bets, is a national bestseller. As a former professional poker player, she has won more than $4 million in tournament poker, has won a World Series of Poker bracelet, and is the only woman to have won the World Series of Poker Tournament of Champions and the NBC National Poker Heads-Up Championship. She is the co-founder of The Alliance for Decision Education, a non-profit whose mission is to improve lives by empowering students through decision skills education. Connect with her on Facebook, Twitter, YouTube, LinkedIn or via her website, AnnieDuke.com; or subscribe to her newsletter on Substack.Further reading:Thinking in Bets: Making Smarter Decisions When You Don't Have All the Facts, by Annie DukeQuit: The Power of Knowing When to Walk Away, by Annie DukeHow to Decide: Simple Tools for Making Better Choices, by Annie DukeThe Alliance for Decision Education StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsAlexandria D. — Research and Special Projects AssistantMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift[Read more]
Read the full transcript here. How do we know what's true in nutrition? Why aren't nutrition studies seemingly as "definitive" as (e.g.) physics experiments often seem to be? What is the "hierarchy of evidence"? Why is there such a disconnect between the kinds of evidence that actually seem to persuade people and the kinds of evidence that scientists view as valid and meaningful? How can we talk about specific foods in ways that avoid labelling them as always good or always bad? Is the Mediterranean diet good for anyone and everyone? Is it better than all other known dietary patterns? Are there healthy ways to do (e.g.) low-carb, high-carb, low-fat, high-fat, and other similar diet types? What do we know about the effects of ketogenic diets? What do we know about the effects of meat-only diets? Are saturated fats always bad? How should we think about mechanistic evidence given for or against a particular food or diet? How much protein should we consume every day? Should we universally reduce our sugar intake? To what extent is excess body fat bad? Since BMI is much criticized, what are the best measures of health for people with excess body fat? Should we avoid blood sugar spikes throughout the day? What percent of people tend to re-gain lost weight after concluding temporary diets? Is caloric intake really the only factor for weight gain or loss? Is the mistrust of nutritionists justified?Gil Carvalho, MD PhD is a physician, research scientist, science communicator, speaker, and writer. Dr. Carvalho trained as a medical doctor in the University of Lisbon, in his native Portugal, and later obtained a PhD in Biology from the California Institute of Technology. He has published peer-reviewed medical research spanning the fields of genetics, molecular biology, nutrition, behavior, aging, and neuroscience. In parallel with his research career, Dr. Carvalho also has a passion for science communication. He directs and hosts Nutrition Made Simple, which aims to convey fundamental nutrition concepts to a general audience via educational videos. Learn more about him here, and follow him on YouTube, Twitter / X, and Instagram. StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsAlexandria D. — Research and Special Projects AssistantMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift[Read more]
Read the full transcript here. Can we measure everything that matters to us? When is measuring the correlates of a thing pretty much just as good as measuring the thing itself? Why are some people resistant to measuring certain things? What are some things people should be measuring but aren't? What's the connection between measuring things and assigning probabilities to events? How much do we know about how well human intuition performs against "doing the math"? How inconsistent are we at applying our own principles in decision-making? What kinds of calibration training are effective? What is "value of information"? What is the Rule of 5? What are the top three things we can do to improve our decision-making?Douglas Hubbard is an author, consultant, and recognized expert in decision theory and risk analysis. He has written several books on measurement and measuring risk. His work spans various industries including insurance, finance, pharmaceuticals, aerospace, military, energy, government, tech, and nonprofit organizations. Connect with Doug on LinkedIn, email him at dwhubbard@hubbardresearch.com, or learn more about his work at hubbardresearch.com.Further reading:How to Measure Anything: Finding the Value of Intangibles in Business, by Douglas HubbardApplied Information Economics Academy (Doug's online calibration training)Innumeracy: Mathematical Illiteracy and Its Consequences, by John Allen PaulosClearer Thinking's "Calibrate Your Judgement" toolFatebook StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsAlexandria D. — Research and Special Projects AssistantMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift[Read more]
Read the full transcript here. Why does it seem that many people read self-help books with no intention of actually doing what the books prescribe? Why are self-help books often less clear than it seems they ought to be? What are self-help books actually designed to do? Why do self-help authors continue to write as though their ideas will help everyone when it seems fairly obvious that no single self-help book has ever been a global panacea? Should self-help advice differ based on the gender of the receiver? How does life coaching differ from self-help? How does therapy differ both from life coaching and from self-help? Should therapists fire their clients once the clients' problems have been solved? Should therapists give homework? What are the best and worst ideas commonly found in self-help books?Kristen Meinzer is a culture critic, podcaster, and author. She cohosts the podcast How To Be Fine (Apple Podcasts, Instagram), formerly called By The Book, which looks at the good and the bad of the wellness industry. She also cohosts the podcast The Daily Fail, which does comedic close readings of the tabloids. Additionally, Kristen is a frequent contributor on NPR's Pop Culture Happy Hour.Further reading:How to Be Fine: What We Learned from Living by the Rules of 50 Self-Help Books, by Jolenta Greenberg and Kristen Meinzer StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsAlexandria D. — Research and Special Projects AssistantMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift[Read more]
Read the full transcript here. What are the best ways to define "values" and "meaning"? How can democratic processes harness people's intrinsic values and sources of meaning to increase their agency, cooperation, participation, equality, etc.? To what extent do political rivals — or even the bitterest of political enemies — actually value many of the same things? Might we be able to use AIs as "neutral" third-party mediators to help reduce political polarization, especially on an interpersonal level? How can we transform our personal values and sources of meaning into positive, shared visions for society? Are markets inherently antisocial? Or are they just easily made to be so? Companies frequently invoke our deepest needs and values as a bait-and-switch to sell us their goods and services; but since there must actually be demand to have those deep needs met and those deep values realized, why do companies so rarely attempt to supply goods and services that address those things directly? Assuming there actually is a lot of overlap in intrinsic values and sources of meaning across individuals and across groups, why do we still have such a hard time developing shared visions for society?Joe Edelman is a philosopher, sociologist, and entrepreneur. He invented the meaning-based metrics used at CouchSurfing, Facebook, and Apple, and co-founded the Center for Humane Technology and the Meaning Alignment Institute. His biggest contribution is a definition of "human values" that's precise enough to create product metrics, aligned ML models, and values-based democratic structures. Follow him on Twitter / X at @edelwax, email him at hello@meaningalignment.org, or learn more about him and the Meaning Alignment Institute (@meaningaligned on Twitter / X).Further reading:"OpenAI x DFT: The First Moral Graph" by Joe Edelman and Oliver Klingefjord — "Beyond Constitutional AI; Our first trial with 500 Americans; How democratic processes can generate an LLM we can trust.""Replica Theory" by Spencer GreenbergJoe's GPT bots for exploring your personal values StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsAlexandria D. — Research and Special Projects AssistantMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift[Read more]
Read the full transcript here. What exactly is quantum computing? How much should we worry about the possibility that quantum computing will break existing cryptography tools? When will a quantum computer with enough horsepower to crack RSA likely appear? On what kinds of tasks will quantum computers likely perform better than classical computers? How legitimate are companies that are currently selling quantum computing solutions? How can scientists help to fight misinformation and misunderstandings about quantum computing? To what extent should the state of the art be exaggerated with the aim of getting people excited about the possibilities the technology might afford and encouraging them to invest in research or begin a career in the field? Is now a good time to go into the field (especially compared to other similar options, like going into the booming AI field)?Scott Aaronson is Schlumberger Chair of Computer Science at the University of Texas at Austin and founding director of its Quantum Information Center, currently on leave at OpenAI to work on theoretical foundations of AI safety. He received his bachelor's from Cornell University and his PhD from UC Berkeley. Before coming to UT Austin, he spent nine years as a professor in Electrical Engineering and Computer Science at MIT. Aaronson's research in theoretical computer science has focused mainly on the capabilities and limits of quantum computers. His first book, Quantum Computing Since Democritus, was published in 2013 by Cambridge University Press. He received the National Science Foundation's Alan T. Waterman Award, the United States PECASE Award, the Tomassoni-Chisesi Prize in Physics, and the ACM Prize in Computing; and he is a Fellow of the ACM and the AAAS. Find out more about him at scottaaronson.blog. StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsAlexandria D. — Research and Special Projects AssistantMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift[Read more]
Read the full transcript here. Should we pause AI development? What might it mean for an AI system to be "provably" safe? Are our current AI systems provably unsafe? What makes AI especially dangerous relative to other modern technologies? Or are the risks from AI overblown? What are the arguments in favor of not pausing — or perhaps even accelerating — AI progress? What is the public perception of AI risks? What steps have governments taken to migitate AI risks? If thoughtful, prudent, cautious actors pause their AI development, won't bad actors still keep going? To what extent are people emotionally invested in this topic? What should we think of AI researchers who agree that AI poses very great risks and yet continue to work on building and improving AI technologies? Should we attempt to centralize AI development?Joep Meindertsma is a database engineer and tech entrepreneur from the Netherlands. He co-founded the open source e-democracy platform Argu, which aimed to get people involved in decision-making. Currently, he is the CEO of Ontola.io, a software development firm from the Netherlands that aims to give people more control over their data; and he is also working on a specification and implementation for modeling and exchanging data called Atomic Data. In 2023, after spending several years reading about AI safety and deciding to dedicate most of his time towards preventing AI catastrophe, he founded PauseAI and began actively lobbying for slowing down AI development. He's now trying to grow PauseAI and get more people in action. Learn more about him on his GitHub page. StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsAlexandria D. — Research and Special Projects AssistantMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift[Read more]
Read the full transcript here. What are the facts around Sam Bankman-Fried and FTX about which all parties agree? What was the nature of Will's relationship with SBF? What things, in retrospect, should've been red flags about Sam or FTX? Was Sam's personality problematic? Did he ever really believe in EA principles? Does he lack empathy? Or was he on the autism spectrum? Was he naive in his application of utilitarianism? Did EA intentionally install SBF as a spokesperson, or did he put himself in that position of his own accord? What lessons should EA leaders learn from this? What steps should be taken to prevent it from happening again? What should EA leadership look like moving forward? What are some of the dangers around AI that are not related to alignment? Should AI become the central (or even the sole) focus of the EA movement?William MacAskill is an associate professor in philosophy at the University of Oxford. At the time of his appointment, he was the youngest associate professor of philosophy in the world. He also cofounded the nonprofits Giving What We Can, the Centre for Effective Altruism, and 80,000 Hours, which together have moved over $300 million to effective charities. He's the author of What We Owe The Future, Doing Good Better, and Moral Uncertainty.Further reading:Episode 133: The FTX catastrophe (with Byrne Hobart, Vipul Naik, Maomao Hu, Marcus Abramovich, and Ozzie Gooen) — Our previous podcast episode about what happened in the FTX disaster"Who is Sam Bankman-Fried (SBF) really, and how could he have done what he did? – three theories and a lot of evidence" — Spencer's essay about SBF's personalityWhy They Do It: Inside the Mind of the White-Collar Criminal by Eugene Soltes StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsAlexandria D. — Research and Special Projects AssistantMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift[Read more]
Read the full transcript here. How big of a problem is homelessness in the US? How many people in large cities like New York City or Los Angeles are unhoused? What's the best language to use when discussing this issue? How is "homelessness" defined? We usually don't label people without food or water as "foodless" or "waterless"; so why do we label people without homes as "homeless"? Why do we so often look away from the problem, both literally and figuratively? What are the most common events or circumstances that cause people to lose their housing options? What does research show about how unhoused people actually spend their money? What percentage of an average city's unhoused population is represented by the "visible" portion, the people we see on street corners or in tent camps? What percent of unhoused people struggle with mental health problems or substance abuse? What's the average life expectancy of an unhoused person? How much do governments (local, state, and/or federal) spend on homelessness annually? What's the best predictor of whether or not a person will suffer from chronic homelessness? What help — from government institutions, religious organizations, nonprofits, etc. — is available to unhoused people? How hard is it to meet your basic needs when you don't have a place to live? What should we do about unhoused people who refuse help or treatment for mental illnesses or substance abuse? Which nonprofits are working on homelessness? And what kinds of impacts have they made? What interventions are actually effective at solving homelessness on a large scale? What mistakes have the political left and right (in the US) made as they've tried to address homelessness? Demographically speaking, what kinds of people tend to make up unhoused populations in the US?Kevin F. Adler is a social entrepreneur, sociologist, and author who never learned the word "stranger", and tries to live accordingly. Currently, he is the Founder-In-Residence and Chairman of the Board of Miracle Messages, a nonprofit organization that helps people experiencing homelessness rebuild their social support systems and financial security through family reunification services, a phone buddy program, and the first basic income pilot for unhoused individuals in the US. He is also the bestselling author of When We Walk By: Forgotten Humanity, Broken Systems, and the Role We Can Each Play in Ending Homelessness in America, which Publishers Weekly called "a must-read for anyone interested in solving the problem of homelessness." Kevin's pioneering work on homelessness and "relational poverty" as an overlooked form of poverty has been featured in the New York Times, Washington Post, PBS NewsHour, The Guardian, LA Times, and in his TED Talk. Motivated by his late mother's work teaching at underserved adult schools and nursing homes, and his late uncle's 30 years living on the streets, Kevin believes in a future where everyone is seen as invaluable and interconnected. Learn more about Kevin and his work at his website, kevinfadler.com, follow him on Instagram at @kevinfadler, or email him at kevin@miraclemessages.org. StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsAlexandria D. — Research and Special Projects AssistantMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift[Read more]
Read the full transcript here. What are some common techniques for quantifying body language? How hard is it to identify poker "tells"? Are there any facial expressions or body movements that have universal meaning? What can be discerned about group dynamics just from watching a meeting over video call? What are the most common body language mistakes people make when going on dates or trying to make friends? What are the strongest indicators of charisma? How do people signal their social status? What are the most effective ways to deal with trolls? How valid is the concept of micro-expressions?Blake Eastman is the founder of The Nonverbal Group, a behavioral research and education company. With a focus on teaching high-level people skills, Eastman has coached executives and teams, and his company is building the world's largest database of contextually coded human interactions. He also founded Behavioral Robotics, an AI deep tech startup teaching machines to read human behavior, and he's known for conducting the largest behavioral study on poker players through his Beyond Tells project. Follow him on Instagram, Twitter / X, and LinkedIn; or email him at blake@nonverbalgroup.com. StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsAlexandria D. — Research and Special Projects AssistantMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift[Read more]
Read the full transcript here. Is nothing objectively true? What kinds of things are we trying to communicate with the stories we tell? Why do we feel the need to take a side on every issue? Which sorts of issues should be tied to our identities? How can we set the definitions for terms in a conversation, if possible? Should people just believe whatever works for them? Is it better to try to compensate for our biases or to reduce them? Should we strive to have lower confidence in ourselves and our abilities? How should we think about assigning blame when something goes wrong? When should we say yes or no to new opportunities? To what degree should we try to optimize our lives?Derek Sivers is an author of philosophy and entrepreneurship known for his surprising, quotable insights and pithy, succinct writing style. Formerly a musician, programmer, TED speaker, and circus clown, he sold his first company for $22 million and gave all the money to charity. Sivers’ books (How to Live, Hell Yeah or No, Your Music and People, and Anything You Want) and newest projects are at his website: sive.rsFurther reading:Useful Not True, by Derek Sivers (his forthcoming book)Hamas Covenant 1988: The Covenant of the Islamic Resistance Movement StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsAlexandria D. — Research and Special Projects AssistantMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift[Read more]
Read the full transcript here. How did we end up with factory farming? How many animals do we kill every year in factory farms? When we consider the rights of non-human living things, we tend to focus mainly on the animal kingdom, and in particular on relatively larger, more complex animals; but to what extent should insects, plants, fungi, and even single-celled organisms deserve our moral consideration? Do we know anything about what it's like (or not) to be an AI? To what extent is the perception of time linked to the speed at which one's brain processes information? What's the difference between consciousness and sentience? Should an organism be required to have consciousness and/or sentience before we'll give it our moral consideration? What evidence do we have that various organisms and/or AIs are conscious? What do we know about the evolutionary function of consciousness? What's the "rebugnant conclusion"? What might it mean to "harm" an AI? What can be done by the average person to move the needle on these issues? What should we say to people who think all of this is ridiculous? What is Humean constructivism? What do all of the above considerations imply about abortion? Do we (or any organisms or AIs) have free will? How likely is it that panpsychism is true?Jeff Sebo is Associate Professor of Environmental Studies; Affiliated Professor of Bioethics, Medical Ethics, Philosophy, and Law; Director of the Animal Studies M.A. Program; Director of the Mind, Ethics, and Policy Program; and Co-Director of the Wild Animal Welfare Program at New York University. He is the author of Saving Animals, Saving Ourselves (2022) and co-author of Chimpanzee Rights (2018) and Food, Animals, and the Environment (2018). He is also an executive committee member at the NYU Center for Environmental and Animal Protection, a board member at Minding Animals International, an advisory board member at the Insect Welfare Research Society, a senior research fellow at the Legal Priorities Project, and a mentor at Sentient Media. StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsAlexandria D. — Research and Special Projects AssistantMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift[Read more]
Read the full transcript here. What's the best way to think about building an impactful career? Should everyone try to work in fields related to existential risks? Should people find work in a problem area even if they can't work on the very "best" solution within that area? What does it mean for a particular job or career path to be a "good fit" for someone? What is "career capital"? To what extent should people focus on developing transferable skills? What are some of the most useful cross-domain skills? To what extent should people allow their passions and interests to influence how they think about potential career paths? Are there formulas that can be used to estimate how impactful a career will be for someone? And if there are, then how might people misuse them? Should everyone aim to build a high-leverage career? When do people update too much on new evidence?Benjamin Hilton is a research analyst at 80,000 Hours, where he's written on a range of topics from career strategy to nuclear war and the risks from artificial intelligence. He recently helped re-write the 80,000 Hours career guide alongside its author and 80,000 Hours co-founder, Ben Todd. Before joining 80,000 Hours, he was a civil servant, working as a policy adviser across the UK government in the Cabinet Office, Treasury, and Department for International Trade. He has master’s degrees in economics and theoretical physics, and has published in the fields of physics, history, and complexity science. Learn more about him on the 80,000 Hours website, or email him at benjamin.hilton@80000hours.org.Further reading:80,000 Hours: Career Guide StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsAlexandria D. — Research and Special Projects AssistantMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift[Read more]
Read the full transcript here. It's our 200th episode! 🥳 What important things has Spencer gleaned from these 200 episodes? What has he learned about how to have better conversations? On what topics has he updated his views? What makes for a great question?Thank you, listeners, for listening, following, rating, reviewing, supporting, and communicating with us! You've helped the show continue to grow, improve, and thrive! StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsAlexandria D. — Research and Special Projects AssistantMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift[Read more]
Read the full transcript here. Is it possible to change someone's life with a really short psychological intervention? What features do turning points in people's lives tend to share in common? What single-session interventions can work well for depression, anxiety, and other mental health issues? What expectations should reasonably be held in advance of a single-session intervention? By what mechanisms do these interventions spark the desire for change in participants? How useful is qualitative research in the social sciences? What can single-session interventions accomplish that longer-term interventions can't? Do single-session interventions for teens work equally well for adults, and vice versa? Are some people more prone to experiencing turning points in their lives than others?Jessica Schleider is Associate Professor of Psychology at Northwestern University, where she directs the Lab for Scalable Mental Health. Schleider completed her PhD in clinical psychology at Harvard University, her doctoral internship in clinical and community psychology at Yale School of Medicine, and her BA in psychology at Swarthmore College. Her research on brief, scalable interventions for youth depression and anxiety has been recognized via numerous awards, including a National Institutes of Health Director's Early Independence Award; the Association for Behavioral and Cognitive Therapies (ABCT) President's New Researcher Award; and Forbes's "30 Under 30 in Healthcare." Learn more about her work at her lab website, schleiderlab.org.Further reading:Project YES: free, anonymous, brief, self-guided mental health tools for teensLittle Treatments, Big Effects: How to Build Meaningful Moments that Can Transform Your Mental Health, by Jessica Schleider StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsAlexandria D. — Research and Special Projects AssistantMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift [Read more]
Read the full transcript here. How does psychological time differ from clock time? How does a person's perception of time relate to their personal identity? How does a person's view of their past shape how they view their future? To what extent do people differ in the degree to which they feel like a single, continuous person across time? What effects does a person's perception of time have on their assessment of injustices? Why aren't there more adversarial collaborations in academia? Is academia generally politically left-leaning? How does lack of political diversity in academia compare to (e.g.) lack of gender or economic diversity? Are liberal or progressive academics openly willing to discriminate against conservative academics when, for example, the latter have opportunities for career advancement? Is anyone in the US actually calling for legal changes around free speech laws, or are they only discussing how people ought to be socially ostracized or punished for expressing certain viewpoints? And is there a meaningful difference between legal and social punishments for those who make illegal or taboo statements? Are we in the midst of an ideological war right now? And if so, ought we to quash in-group criticism to avoid giving ammunition to our ideological enemies? Academia seems to have hemorrhaged public trust over the last few decades; so what can be done to begin restoring that trust?Anne Wilson is a professor of social psychology at Wilfrid Laurier University. Much of her research focuses on self and identity over time both for individual self and collective identities like nation, race, and gender. Her work illuminates the often-motivated malleability of our reconstructions of the past, forecasts of the future, and subjective perceptions of time itself. Her broad focus on motivated reasoning and cognitive bias has also led to more recent research on intergroup misperception, political polarization, and how speech suppression and censorship can inhibit collective bias correction. Follow her on Twitter / X at @awilson_WLU, email her at awilson@wlu.ca, or learn more about her work at her labe website: annewilsonpsychlab.com.Further reading:"Prosocial motives underlie scientific censorship by scientists: A perspective and research agenda", by Cory J. Clark, Lee Jussim, Komi Frey, Sean T. Stevens, Musa al-Gharbi, Karl Aquino, J. Michael Bailey, Nicole Barbaro, Roy F. Baumeister, April Bleske-Rechek, David Buss, Stephen Ceci, Marco Del Giudice, Peter H. Ditto, Joseph P. Forgas, David C. Geary, Glenn Geher, Sarah Haider, Nathan Honeycutt, Hrishikesh Joshi, Anna I. Krylov, Elizabeth Loftus, Glenn Loury, Louise Lu, Michael Macy, Chris C. Martin, John McWhorter, Geoffrey Miller, Pamela Paresky, Steven Pinker, Wilfred Reilly, Catherine Salmon, Steve Stewart-Williams, Philip E. Tetlock, Wendy M. Williams, Anne E. Wilson, Bo M. Winegard, George Yancey, and William von Hippel"The Future of Memory: Remembering, Imagining, and the Brain", by Daniel L. Schacter, Donna Rose Addis, Demis Hassabis, Victoria C. Martin, R. Nathan Spreng, and Karl K. Szpunar"Autobiographical Memory and Conceptions of Self: Getting Better All the Time", by Michael Ross and Anne E. Wilson"When Slights Beget Slights: Attachment Anxiety, Subjective Time, and Intrusion of the Relational Past in the Present", by Kassandra Cortes and Anne E. Wilson"Crimes of the Past: Defensive Temporal Distancing in the Face of Past In-Group Wrongdoing", by Johanna Peetz, Gregory R. Gunn, and Anne E. Wilson"Exploring Gender Bias in Six Key Domains of Academic Science: An Adversarial Collaboration", by Stephen J. Ceci1, Shulamit Kahn, and Wendy M. Williams"Political Diversity in Social and Personality Psychology", by Yoel Inbar and Joris LammersKindly Inquisitors: The New Attacks on Free Thought, by Jonathan RauchBreaking the Social Media Prism: How to Make Our Platforms Less Polarizing, by Chris Bail StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsAlexandria D. — Research and Special Projects AssistantMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift [Read more]
Read the full transcript here. Why is Stoicism important and useful today? What are the main ideas of Stoicism? How can you tell if you're "living well"? And if you're not living well, then how can you move yourself in that direction? How can we learn to accept and embrace life as it comes without losing our desire to improve ourselves and the world around us? Do people vary in the degree to which Stoic practices might be beneficial for them? What's the relationship between Stoicism and CBT? What do Stoics have to say about the value or disvalue of emotions? Has Stoicism changed much since its inception? What does it mean to be a "reasonable" person? What are some clear signs that a person is a thinker or a feeler? How might we modify social media and/or ourselves so that our cognitive biases can't as easily be weaponized for political or economic ends? It's easy to see cognitive biases in others; but how can we learn to see them in ourselves?William B. Irvine is emeritus professor of philosophy at Wright State University in Dayton, Ohio, USA. He is the author of eight books that have been translated into more than twenty languages. His A Guide to the Good Life: The Ancient Art of Stoic Joy played a key role in the Stoic renaissance that has taken place in recent years. His subsequent Stoic Challenge: A Philosopher's Guide to Becoming Tougher, Calmer, and More Resilient provides a strategy for dealing, in proper Stoic manner, with the setbacks we experience in daily living. He is currently at work on a book about thinking critically, but with an open mind, in the age of the internet.Further reading:The Enchiridion, by EpictetusThinking Fast and Slow, by Daniel KahnemanSpencer's note: The chapter on social priming should be discounted because it is about research by other people that has not replicated. StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsAlexandria D. — Research and Special Projects AssistantMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift [Read more]
Read the full transcript here. What is a "theory of everyone"? Do the social sciences currently have enough firm knowledge to synthesize such a theory? Have we been getting smarter as a species over the last few hundred years? Were great historical thinkers smarter than today's greatest minds? Why are governments so prone to corruption? What is the COMPASS framework? What is the "no hyphen" immigration model? What is the "umbrella" immigration model? How can governments change how they think and talk about immigration so that racism is less likely to find its way into immigration policy?Michael Muthukrishna is an award-winning professor of economic psychology and affiliate in developmental economics and data science at the London School of Economics. His research has been featured in CNN, BBC, Wall Street Journal, The Guardian, The Economist, Scientific American, Time Magazine, Fortune Magazine, and many other news outlets. He is the author of A Theory of Everyone: The New Science of Who We Are, How We Got Here, and Where We're Going. Learn more about him at his website, follow him on Twitter at @mmuthukrishna; or read his writings on his Substack. StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift [Read more]
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