Podcast appearances and mentions of Stephen Wolfram

At age 13, Dr. John Demartini left home after being told by the “experts” around him that his life would never amount to much. People claimed his physical and learning challenges were too much to overcome…Nearly six decades later, John is living the life none of those “experts” could've ever imagined, as a world-renown teacher who helps his students come to a greater understanding of human behavior and maximizing their potential.John shares his amazing journey from his early days as teenage surfer without a home, then explains why he gave up the self-help movement — it's a moral trap — and reveals the importance of asking the right questions of ourselves and others this week on Spirit Gym.Find out more about John and his work on his website and on social media via Facebook, Instagram, Linkedin and YouTube. Listen to his podcast, The Demartini Show, on Apple Podcasts, Spotify or wherever you listen to them.Also, John invites Spirit Gym listeners to take advantage of some free gifts:· Download his 7 Steps to Expand to the Next Level of Empowerment workbook.· Watch John's inspiring presentation, Awakening Your Astronomical Vision.· Complete the Demartini Value Determination Process, a 13-step process that helps you determine your highest values or priorities in life.· Take his master classes, Increase Your Deserve Level and Finally Get What You Want and Discover The Hidden Order and Its Power to Transform Your Life.Timestamps5:34 John leaves home at age 13 to hitchhike cross-country and surf.8:31 John's life-changing encounter with Paul Bragg.19:59 From learning-challenged to speaking to University of Houston students daily.35:20 “Everything that's going on our life is on the way to help us be our most magnificent self.”46:00 Lean into your uniqueness and authenticity with help from your teachers.53:29 The Demartini method.1:01:45 Holy curiosity.1:13:32 “I really believe all of the randomness that we have is missing information.”1:22:29 “The Master lives in a world of transformation, not the illusion of gain, loss, pleasure, pain or polarities.”1:27:39 John's research leads him to give up the self-help movement.1:39:32 “Quality questions are ones that make us aware of what we're unconscious of when we're interpreting things in this polarized way.”1:41:47 What is depression?1:54:56 True science and true religion mirror each other, but with different languages.2:03:25 John's definition of evil: An incomplete awareness of a mental construct.2:12:59 Good and evil: The only labels we impose on things that are exaggerations rather than synthesis.2:15:41 The soulmate question.2:31:05 “The first thing I tell my students: Whatever you perceive in me, let's find it in you.”ResourcesEssentials of Emotional Intelligence by Dr. John DemartiniSpecial Relativity and Classical Field Theory: The Theoretical Minimum by Leonard Susskind and Art FriedmanThe Principles of Quantum Mechanics by P.A.M. DuracThe C.T. Bauer College of Business at the University of HoustonDr. John Demartini's heated conversation with Aubrey Marcus on YouTubeThe Science of Mind: The Complete 1926 edition by Ernest HolmesThe Law of Eristic Escalation explained by Dr. John DemartiniThe Power of Positive Thinking by Norman Vincent PealeThe work of Jack LaLanne, Buddy Miles, Gottfried Wilhelm Leibniz, Claude Shannon, Frank Tipler, Stephen Wolfram, Vera Rubin, Sri Aurobindo, Stephen Hawking, Edward Edinger and EpictetusThe Schrödinger equationRudolf Clausius and the second law of thermodynamicsThe Boltzmann equationHeraclitis and the LogosWhat is Life? by Erwin SchrodingerGeocentrismThe RigvedaCosmic Consciousness: A Study in the Evolution of the Human Mind by Richard BuckeGate control theory by Ronald Melzack and Patrick WallThe Secret (film) on YouTubeThe Trans-Planckian problemPaul's podcast conversation with Sean O'LaoireFind more resources for this episode on our website.Music Credit: Meet Your Heroes (444Hz), Composed, mixed, mastered and produced by Michael RB Schwartz of Brave Bear MusicThanks to our awesome sponsors:PaleovalleyBIOptimizers US and BIOptimizers UK PAUL15Organifi CHEK20Wild PasturesPique LifeSpirit GymCHEK InstituteWe may earn commissions from qualifying purchases using affiliate links.

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://www.youtube.com/watch?v=wlhZURSQIs8&list=PLxn-kpJHbPx2vIchOwIBRkDeKjuJDYTOQTopics discussed: How much control should we give AI? - AI's use in biology Future transportation - How robots could help explore the Moon and deep ocean Why underwater communication is so difficult - Future cities and microclimates

In his final years, Richard Feynman's curiosity took him to some surprising places. We hear from his companions on the trips he took — and one he wasn't able to. (Part three of a three-part series originally published in 2024.)    SOURCES:  Alan Alda, actor and screenwriter. Barbara Berg, friend of Richard Feynman. Helen Czerski, physicist and oceanographer at University College London. Michelle Feynman, photographer and daughter of Richard Feynman. Cheryl Haley, friend of Richard Feynman. Debby Harlow, friend of Richard Feynman. Ralph Leighton, biographer and film producer. Charles Mann, science journalist and author. John Preskill, professor of theoretical physics at the California Institute of Technology. Lisa Randall, professor of theoretical particle physics and cosmology at Harvard University. Christopher Sykes, documentary filmmaker. Stephen Wolfram, founder and C.E.O. of Wolfram Research; creator of Mathematica, Wolfram|Alpha, and the Wolfram Language.   RESOURCES:  I Love My Wife..., directed by Ian Tierney (2020). Quantum Man: Richard Feynman's Life in Science, by Lawrence M. Krauss (2011). Perfectly Reasonable Deviations From the Beaten Track: Selected Letters of Richard P. Feynman, edited by Michelle Feynman (2005). The Pleasure of Finding Things Out, by Richard Feynman (1999). The Demon-Haunted World: Science as a Candle in the Dark, by Carl Sagan and Ann Druyan (1995). Genius: The Life and Science of Richard Feynman, by James Gleick (1992). The Quest for Tannu Tuva, by Christopher Sykes (1988) “What Do You Care What Other People Think?” by Richard Feynman and Ralph Leighton (1988). The Second Creation: Makers of the Revolution in Twentieth-century Physics, by Robert Crease and Charles Mann (1986). Surely You're Joking, Mr. Feynman!, by Richard Feynman and Ralph Leighton (1985). Fun to Imagine, BBC docuseries (1983).   EXTRAS:  “The Curious, Brilliant, Vanishing Mr. Feynman,” series by Freakonomics Radio (2024). Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Stewart Alsop sat down with Michael Shackelford to discuss their experiences building applications through vibe coding—the practice of using AI to create software without traditional programming expertise. Stewart, who runs the AI Whispers community in Buenos Aires and hosts the Crazy Wisdom podcast (with over 660 interviews), shared how he went from teaching people prompt engineering to building his own video conferencing software as a Riverside.fm replacement, while Michael opened up about his year-long journey creating Genrupt Inc, an AI-powered content generation tool for e-commerce sellers. The conversation covered everything from the decline in quality of Claude's reasoning capabilities and how Chinese companies used distillation attacks to copy Anthropic's models, to the importance of spaced repetition systems for managing knowledge in the age of LLMs, with both sharing battle-tested prompting strategies like asking AI to "explain it to me in genius terms" and using deep research queries to reverse engineer how competitors build their products.Show Notes:- Dan Martell's book "Buy Back Your Time" was mentioned as one of the best business books for thinking about life and business- Check out John Vervaeke's "Awakening from the Meaning Crisis" for understanding relevance realization and why AI fundamentally cannot determine what's relevant to humans without being toldTimestamps00:00 Michael discusses being exhausted from getting his app ready for launch, working nonstop with AI to prepare landing page for podcast traffic driving beta signups05:00 Stewart explains starting AI Whispers in Buenos Aires after leaving OpenAI vendor company, meeting early adopters like Torin who was building mind-reading EEG technology10:00 Discussion of how corporations resist AI adoption due to political games and job security fears while some companies use AI as excuse for pandemic-era layoffs15:00 Stewart describes teaching workshops on using LLMs as linguistic tools rather than coding tools, noting technical people often lack humanities background needed for prompting20:00 Explaining chatbot wrappers, API calls, and how Anthropic's reasoning quality declined after Chinese distillation attacks copied their secret sauce developed with philosophers25:00 Technical discussion of model training, fine-tuning versus RAG for new information, and different approaches to updating AI knowledge beyond initial training30:00 Stewart describes building podcast recording software to replace expensive Riverside, struggling with syncing audio and video files across different computer clocks35:00 Discussion of critical factors in vibe coding, discovering unknown technical requirements, and how AIs don't automatically reveal missing information40:00 Stewart's reverse engineering process using deep research function to study competitors' hiring and technology stacks, separating planning agents from coding agents45:00 Prompting techniques including "explain like I know everything" and using spaced repetition systems to capture valuable prompts and technical knowledge50:00 Michael explains his Generux app for generating ecommerce content using Amazon review data analysis to inform high-converting listing images and videos55:00 Discussion of founder mentality involving self-delusion about project timelines, Michael working nine-plus hours daily for nine months on app development60:00 Comparing Amazon's expert software to prosumer software approach, discussing distribution challenges and future robotics applications for customized products65:00 Stewart demonstrates spaced repetition app for memory improvement and knowledge retention, explaining relevance realization problem that AI agents cannot solve without embodimentKey Insights1. Stewart Alsop started AI Whisperers in Buenos Aires after leaving his role at Invisible Technologies, which was OpenAI's largest vendor for RLHF work. He noticed that machine learning engineers at tech companies lacked the humanities background needed to properly interact with large language models, which are fundamentally linguistic tools. This led him to create weekly workshops teaching non-technical people how to use AI effectively, running events every Thursday for two years straight. The group attracted intense geeks from the start and eventually led to Stewart speaking right after Vitalik Buterin at DevConnect, marking a significant milestone for the community.2. Large corporations are resistant to AI adoption due to multiple factors including political dynamics within organizations and employees fearing job loss. Many companies that grew during the pandemic are now using AI as an excuse to downsize when the real issue is inefficiency from rapid expansion. Stewart observed that even technical people in machine learning often don't understand how to properly use AI tools because they lack linguistic and humanities training. The fundamental problem is educational, requiring companies to train people how to use these new tools while those same people resist learning them.3. Vibe coding has evolved significantly with Claude Code being a game changer that reduced the technical barrier to entry. Before Claude Code, developers needed substantial technical knowledge to work through constant doom loops and debugging cycles. The success of coding AI tools stems from thirty years of testing infrastructure that provides clear yes or no feedback on whether code works. This infrastructure doesn't exist in the same way for manufacturing, science, and other fields, which is why software became the dominant area for AI assistance initially.4. Claude's quality degradation over recent months resulted from multiple factors including distillation attacks by Chinese companies who reverse engineered Anthropic's reasoning capabilities. Anthropic had hired philosophers, sociologists, and psychologists to develop exceptional reasoning in Claude 4.5, but this was expensive to run. When Chinese models like Kimi copied these capabilities at one tenth the cost, and when mainstream users flooded the platform before Anthropic's planned IPO, the company had to reduce quality to manage computational costs. This represents a significant loss for power users who relied on Claude's superior reasoning abilities.5. Stewart built a podcast recording application to replace Riverside because he needed API access to automate workflows, which Riverside wanted one thousand dollars monthly to provide. The technical challenge involves syncing audio and video from local recordings on multiple computers with different clocks through a server, then merging them so voices match lip movements. This problem requires understanding complex timing issues across different network conditions and file formats. Stewart has been working through AI psychosis for months on this FFMPEG pipeline problem, illustrating how vibe coding still requires building intuition about technical problems even without traditional coding knowledge.6. The transition from expert software to prosumer software represents a major opportunity for AI-enabled tools. Expert software like Photoshop, Blender, and terminal interfaces have extreme complexity that intimidates beginners, but AI is making these capabilities accessible through natural language. The reign of specialists is ending as generalists with broad knowledge and curiosity can now build complete applications by leveraging AI to fill technical gaps. This shift particularly benefits entrepreneurs and founders who specialize in getting into difficult situations and figuring them out, even when they originally thought tasks would be easier than they turned out to be.7. Building applications with AI requires accepting massive time investments beyond initial estimates and developing strategies for overcoming knowledge gaps. Michael estimated his ecommerce content generation app would take months but spent nearly a year working over nine hours daily, while Stewart spent months solving audio-video sync issues. Success requires using tools like deep research to understand how competitors solve problems, maintaining separate planning and coding agents, and learning to ask the right questions. The key insight is that vibe coders can achieve ninety percent of functionality independently, but the final ten percent often requires understanding specific technical concepts that AI cannot intuit without proper context and domain knowledge.

Stephen Wolfram answers questions from his viewers about business, innovation, and managing life as part of an unscripted livestream series, also available on YouTube here: https://www.youtube.com/watch?v=M-704PZz0Uo&list=PLxn-kpJHbPx0UJceDNIMUAcjYGYFnW8yoTopics discussed: Open source in the age of AI - Making AI useful without being fooled by it - Accountability for ownerless AI - Deploying AI in the real world

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://www.youtube.com/watch?v=wlhZURSQIs8&list=PLxn-kpJHbPx2vIchOwIBRkDeKjuJDYTOQTopics discussed: How human understanding evolves - The future of the scientific method - Restoring movement after paralysis - Using physics to look back at Earth's history - Life in virtual worlds - Space-based data centers - AI for verifying code

Stephen Wolfram answers general questions from his viewers about science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaTopics: Why perpetual motion machines fail - What might be driving the universe's expansion - How particles emerge from the structure of space - Entropy and the Big Bang theory - How temperature can become negative

Stephen Wolfram is an extraordinary thinker.He doesn't seem to think like other scientists. He doesn't seem to think like other technologists. And he certainly doesn't think like an academic.So I asked him how he thinks. How does he have all the ideas I've been exploring at The Last Theory?Here are 10 ways to have big ideas, derived from Stephen's answer:Drill down to the foundationsExperiment with your ideasTry to understand your findingsHave the humility to doubt your expectationsHave the confidence to push ahead regardlessExplain your ideas to othersDiscuss your ideas with othersGet to know when an idea will take flightDon't miss a step: imagine, experiment, explainVisualize your ideas—Stephen WolframStephen WolframThe Wolfram Physics ProjectWolfram InstituteWolfram Institute Community DiscordConcept mentioned by StephenComputational irreducibility—The Last Theory is hosted by Mark Jeffery founder of Open Web MindI release The Last Theory as a video too! Watch here.Kootenay Village Ventures Inc.

What happens when an existentially depressed and recently widowed young physicist from Queens gets a fresh start in California? We follow Richard Feynman out west, to explore his long and extremely fruitful second act. (Part two of a three-part series originally published in 2024.)   SOURCES: Seamus Blackley, video game designer and creator of the Xbox. Carl Feynman, computer scientist and son of Richard Feynman. Michelle Feynman, photographer and daughter of Richard Feynman. Ralph Leighton, biographer and film producer. Charles Mann, science journalist and author. John Preskill, professor of theoretical physics at the California Institute of Technology. Lisa Randall, professor of theoretical particle physics and cosmology at Harvard University. Christopher Sykes, documentary filmmaker. Stephen Wolfram, founder and C.E.O. of Wolfram Research; creator of Mathematica, Wolfram|Alpha, and the Wolfram Language. Alan Zorthian, architect.   RESOURCES: "Love After Life: Nobel-Winning Physicist Richard Feynman's Extraordinary Letter to His Departed Wife," by Maria Popova (The Marginalian, 2017). Quantum Man: Richard Feynman's Life in Science, by Lawrence M. Krauss (2011). The Pleasure of Finding Things Out, by Richard Feynman (1999). Genius: The Life and Science of Richard Feynman, by James Gleick (1992). "G. Feynman; Landscape Expert, Physicist's Widow," (Los Angeles Times, 1990). "Nobel Physicist R. P. Feynman of Caltech Dies," by Lee Dye (Los Angeles Times, 1988). The Second Creation: Makers of the Revolution in Twentieth-century Physics, by Robert Crease and Charles Mann (1986). Surely You're Joking, Mr. Feynman!, by Richard Feynman and Ralph Leighton (1985). Fun to Imagine, BBC docuseries (1983). "Richard P. Feynman: Nobel Prize Winner," by Tim Hendrickson, Stuart Galley, and Fred Lamb (Engineering and Science, 1965). F.B.I. files on Richard Feynman.   EXTRAS: "The Curious Mr. Feynman," by Freakonomics Radio (2024). Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Stephen Wolfram answers questions from his viewers about the history of science and technology as part of an unscripted livestream series, also available on YouTube here: https://www.youtube.com/watch?v=IE03Z481PVg&list=PLxn-kpJHbPx3IO8b1yvkNyASj9i_Tw4n8&pp=0gcJCdAEOCosWNinTopics: Lessons from the history of science - Why scientific progress isn't linear - Ancient inefficiencies and bad inventions - AI, automation and human motivation - Why humans started doing math

From the Manhattan Project to the Challenger investigation, the physicist Richard Feynman loved to shoot down what he called “lousy ideas.” Today, the world is awash in lousy ideas — so maybe it's time to get some more Feynman in our lives? (Part one of a three-part series originally published in 2024.)   SOURCES: Helen Czerski, physicist and oceanographer at University College London. Michelle Feynman, photographer and daughter of Richard Feynman. Ralph Leighton, biographer and film producer. Charles Mann, science journalist and author. John Preskill, professor of theoretical physics at the California Institute of Technology. Stephen Wolfram, founder and C.E.O. of Wolfram Research; creator of Mathematica, Wolfram|Alpha, and the Wolfram Language.   RESOURCES: "How Legendary Physicist Richard Feynman Helped Crack the Case on the Challenger Disaster," by Kevin Cook (Literary Hub, 2021). Challenger: The Final Flight, docuseries (2020). Perfectly Reasonable Deviations From the Beaten Track: Selected Letters of Richard P. Feynman, edited by Michelle Feynman (2005). The Pleasure of Finding Things Out, by Richard Feynman (1999). Genius: The Life and Science of Richard Feynman, by James Gleick (1992). “What Do You Care What Other People Think?” by Richard Feynman and Ralph Leighton (1988). "Mr. Feynman Goes to Washington," by Richard Feynman and Ralph Leighton (Engineering & Science, 1987). The Second Creation: Makers of the Revolution in Twentieth-century Physics, by Robert Crease and Charles Mann (1986). Surely You're Joking, Mr. Feynman!, by Richard Feynman and Ralph Leighton (1985). "The Pleasure of Finding Things Out," (Horizon S18.E9, 1981). "Los Alamos From Below," by Richard Feynman (UC Santa Barbara lecture, 1975).   EXTRAS: "Exploring Physics, from Eggshells to Oceans," by People I (Mostly) Admire (2023). Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Stephen Wolfram answers general questions from his viewers about science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaTopics: Proofs in the age of AI - Learning and communicating proofs - How AI handles errors and bugs

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaTopics discussed: Quantum biology - Mass spectrometers on the Moon - Quantum algorithms vs. traditional algorithms - Future advances in chemotherapy and stem cells

Stephen Wolfram answers questions from his viewers about business, innovation, and managing life as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-business-qaTopics discussed: Product strategy & company focus - AI's impact on business & society - Productive leadership & paradigm-shifting ideas

Stephen Wolfram answers general questions from his viewers about science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaTopics: Why brains matter in biology - Evolution beyond biology - Why evolution builds life the way it does

If physics is computational, then what gets computed when?This is a surprisingly deep question.The seemingly even computation of the universe gives us a clue, not just to the nature of time, but to the nature of the universe.And it leads us to a wider question:Why are we in the universe we're in?Let me introduce you to three different answers to that question... sodifferent that they don't even agree on whether one universe exists, or every possible universe exists.—ReferencesAnthropic PrincipleCreditsImage of Messier 101 galaxy by ESA/Hubble licensed under CC BY 4.0Image of galaxies by NASA, ESA, S. Beckwith (STScI) and the HUDF Team licensed under CC BY 4.0Retina image by د.مصطفى الجزار licensed under CC BY-SA 3.0—The Last Theory is hosted by Mark Jeffery founder of Open Web MindI release The Last Theory as a video too! Watch here.The full article is here.Kootenay Village Ventures Inc.

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaTopics discussed: What counts as knowledge with AI? - Machine curiosity and new ways of thinking - How will future humans look at our science? - AI's final form - Exploring space and beyond

Stephen Wolfram plays the role of Salonnière in this ongoing series of intellectual explorations with philosophers. 

In this episode, William Green talks with Matthew McLennan, who oversees about $130 billion at First Eagle Investments. Matt is head of the firm's Global Value team & a portfolio manager of its Global Value, Global Equity, International Value, International Equity & US Value strategies. Here, he explores how to build resilient wealth by patiently holding a “non-uniform” portfolio of scarce assets that should endure & prosper even in difficult conditions. This episode provides a time-tested survival strategy for investors looking to navigate this period of extreme uncertainty. IN THIS EPISODE YOU'LL LEARN: 00:00:00 - Intro00:02:14 - Why Matthew McLennan thinks investors should prepare for turmoil.00:17:43 - How to construct a resilient portfolio by thinking like a gardener.00:19:38 - Why Matt loves businesses with scarce assets in mundane industries.00:23:02 - Why survival is the key to investment success.00:23:33 - How cash & gold provide a ballast in the event of unexpected storms.00:26:28 - Why he's wary of a highly concentrated investment strategy.00:51:07 - How patience has become a powerful edge in a hyperactive world.00:57:17 - How to build long-term success by focusing on process, not rewards.01:05:28 - How to think better by harnessing our right-brain capabilities.01:23:05 - Why “what's hot today” is likely to produce terrible investment returns.01:25:10 - How studying wine & playing backgammon help him as an investor.01:29:04 - Why he favors a team-based approach, instead of being a lone wolf. Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences. BOOKS AND RESOURCES Join the exclusive ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Mastermind Community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn how to join us in Omaha for the Berkshire meeting ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Inquire about William Green's ⁠⁠⁠⁠⁠⁠⁠Richer, Wiser, Happier Masterclass⁠⁠⁠⁠⁠⁠⁠. Thucydides' book, History of the Peloponnesian War. Daniel Yergin's book, The Prize. John Cochrane's book, The Fiscal Theory of the Price Level. Peter Matthiessen's book, The Snow Leopard. Iain McGilchrist's book, The Matter with Things. David Galenson's book, Old Masters and Young Geniuses. Charles de Montesquieu's book, The Spirit of the Laws. Stephen Wolfram's book, A New Kind of Science. Winston Churchill's book, My Early Life. William Green's book, Richer, Wiser, Happier. Follow William Green on X. Related ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠books⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ mentioned in the podcast. Ad-free episodes on our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Premium Feed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. NEW TO THE SHOW? Get smarter about valuing businesses through ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Check out our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠We Study Billionaires Starter Packs⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow our official social media accounts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Try our tool for picking stock winners and managing our portfolios: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Finance⁠. Enjoy exclusive perks from our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠favorite Apps and Services⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn how to better start, manage, and grow your business with the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠best business podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. SPONSORS Support our free podcast by supporting our sponsors: HardBlock Human Rights Foundation Plus500 Shopify Netsuite Vanta References to any third-party products, services, or advertisers do not constitute endorsements, and The Investor's Podcast Network is not responsible for any claims made by them. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm

Stephen Wolfram answers general questions from his viewers about science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaTopics: Bugs in software and whether the universe could have bugs - Why restarting a system can restore order - How wireless signals manage to coexist - How radio sound gets encoded onto a signal

Stephen Wolfram answers questions from his viewers about the history of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaTopics: The beginning of science and physics - How people in the past understood nature - Celebrity status of scientists - Forces that drive scientific progress - History of logic

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaTopics discussed: Human senses effect on science and research - AI automation and the future of work - AI hype cycles and real progress - Machine intelligence and consciousness - Automated visualization and interfaces - Genetic engineering and molecular manufacturing between plants and humans

Stephen Wolfram plays the role of Salonnière in this new series of intellectual explorations with philosophers.

Stephen Wolfram answers questions from his viewers about business, innovation, and managing life as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-business-qaTopics discussed: Business ideas using AI - Value of AI in business - Prompting and human interaction with AI - Possibilities for AI infrastructure - Reasoning, logic and benchmarks for LLMS - Advanced AI behavior and communication

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaTopics discussed: Technology that changes how we think - How humans might change over time - Exploring space and oceans - Why the physical world changes slowly vs. the digital world - Flying cars and houses

Stephen Wolfram answers questions from his viewers about the history of science and technology as part of an unscripted livestream series, also available on YouTube here: wolfr.am/youtube-sw-qaTopics: Early science communication - Accuracy vs. accessibility in science communication - Science communication with modern tools - Writing and recording science before modern tools - Scientific disagreement and challenges to authority - Economic status of scientists

Stephen Wolfram answers general questions from his viewers about science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaTopics: How light is generated and structured - What it means to see color - Constraints of human vision - How the brain interprets visual signals - Designing visual effects with AI

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Today's guest is Stephen Wolfram, Founder and CEO of Wolfram Research. Wolfram is a pioneering computer scientist and physicist, best known for creating Mathematica and Wolfram|Alpha, and for decades of work on complexity, computation, and the foundations of how systems evolve. Stephen joins Emerj CEO and Head of Research Daniel Faggella to explore how simple computational rules can give rise to complex, unpredictable systems, and what that means for the future of intelligence beyond biological life. The conversation examines concepts like computational irreducibility, adaptive evolution, and "bulk orchestration" at the molecular and digital level, framing how AI systems, biological organisms, and even physical processes can be understood as part of a broader computational universe. Stephen also shares practical perspectives on how these ideas translate into real-world AI development, including why coarse, outcome-driven objectives often outperform overly rigid design in machine learning, how enterprises can think about building systems that evolve rather than simply execute, and what leaders should understand about the limits of predictability, governance, and control as AI becomes more deeply embedded in business workflows. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!  

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Stephen Wolfram answers general questions from his viewers about science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaTopics: Three-body problem and computational irreducibility - Climate and radiation on planets with multiple suns - Cherenkov radiation and why it doesn't break relativity Proton decay, particle physics and "how bad would it be?"

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaTopics discussed: Engineering the human body - Life beyond biological definitions - Biology as a computational science - The future of psychology as a science

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Stephen Wolfram answers questions from his viewers about business, innovation, and managing life as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-business-qaTopics discussed: Managing work, focus and personal limits - For-profit vs. nonprofit decisions - Ultimate end goals in life and career - Public involvement in science - Productivity systems and practical tools

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaTopics discussed: The future of doing science - Learning with LLMs - Long-term futures of intelligence and technology

Stephen Wolfram answers questions from his viewers about the history of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaTopics: How 2025 fits into the history of science and technology - Theory vs. experiment in science and education - Panics in the history of technology

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaTopics discussed: AI governance, ethics & policy - AI infrastructure Future of science & technology unrelated to AI - Biology as a programmable system - The future of AI beyond LLMs

WANTED: Developers and STEM experts! Get paid to create benchmarks and improve AI models. Sign up for Alignerr using our link: https://alignerr.com/?referral-source=briankeating One of the most powerful AI systems we've ever built is succeeding for reasons we still don't understand. And worse, they may succeed for reasons that might lock us into the wrong future for humanity. Today's guest is Anil Ananthaswamy, an award-winning science writer and one of the clearest thinkers on the mathematical foundations of machine learning. In this conversation, we're not just talking about new demos, incremental improvements, or updates on new models being released. We're asking even harder questions: Why does the mathematics of machine learning work at all? How do these models succeed when they suffer from problems like overparameterization and lack of training data? And are large language models revealing deep structure, or are they just producing very convincing illusions and causing us to face an increasingly AI-slop-driven future? KEY TAKEAWAYS 00:00 — Book explores why ML works through math 02:47 — Perceptron proof shows simple math guarantees learning 05:11 — Early AI failed due to single-layer limits 07:12 — Nonlinear limits caused the first AI winter 09:04 — Backpropagation revived neural networks 10:59 — GPUs + big data enabled deep learning 15:25 — AI success risks technological lock-in 17:30 — LLMs lack human-like learning and embodiment 22:57 — High-dimensional spaces power ML behavior 27:36 — Data saturation may slow future gains 31:11 — Continual learning is still missing in AI 33:46 — Neuromorphic chips promise energy efficiency 41:49 — Overparameterized models still generalize well 45:05 — SGD succeeds via randomness in complex landscapes 48:27 — Perceptrons remain the core of modern neural net - Additional resources: Anil's NEW Book "Why Machines Learn: The Elegant Math Behind Modern AI": https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749 Get My NEW Book: Focus Like a Nobel Prize Winner: https://www.amazon.com/dp/B0FN8DH6SX?ref_=pe_93986420_775043100 Please join my mailing list here

Stephen Wolfram gives his opening Keynote Address for the Wolfram Science Winter School. https://education.wolfram.com/winter-school/

Get My NEW Book: Focus Like a Nobel Prize Winner: https://www.amazon.com/dp/B0FN8DH6SX Andrew Jaffe Book: The Random Universe: https://www.amazon.com/Random-Universe-Models-Probability-Cosmos/dp/0300250509 Is the universe intrinsically random? In this conversation, we dive deep into why the universe may be fundamentally, intrinsically random. Whether inflation on life support, the truth behind the Hubble tension, and whether cosmology is approaching the event horizon, limits beyond which humans can never know. Today we're joined by one of the architects of modern cosmological inference, Professor Andrew Jaffee, author of a new book called The Random Universe that argues that every observation in science is shaped by the models we bring to it, biases and all. KEY TAKEAWAYS 00:00–01:13 — Science and life rely on building models. 01:13–03:35 — Models of people and reality are often wrong and revised. 04:04–06:01 — Observation depends on prior theories. 06:01–07:32 — Models can't be escaped, only improved. 07:32–08:57 — No single scientific method exists. 08:57–11:25 — Science uses induction, not pure proof. 11:25–13:22 — Induction isn't certain, only probabilistic. 13:22–15:36 — Induction works because nature is regular. 17:44–19:08 — Big Bang emerges from well-tested models. 19:08–21:15 — Current cosmology is stressed, not broken. 29:19–30:36 — Probability gives meaning to models. 39:45–41:11 — Randomness often reflects limited knowledge. 43:46–45:00 — Quantum physics is fundamentally probabilistic. 49:09–50:04 — Inflation awaits decisive observational tests. - Additional resources: Get My NEW Book: Focus Like a Nobel Prize Winner: https://www.amazon.com/dp/B0FN8DH6SX?ref_=pe_93986420_775043100 Please join my mailing list here

What if everything you know about reality, intelligence, science, aliens, and even your own body…is wrong? In this mind-expanding conversation of Mayim Bialik's Breakdown, Dr. Stephen Wolfram — the legendary computer scientist, theoretical physicist, mathematician, founder of Wolfram Research — reveals how the groundbreaking technologies he created are re-shaping our understanding of the universe itself. We dive into the limits of science, the secrets of biological evolution, and why computational irreducibility may explain why some mysteries of nature can never be predicted, only experienced. Dr. Wolfram breaks down whether his computations suggest humanity is cosmically significant…or completely insignificant in a universe built from the same atoms repeating the same rules everywhere. Discover why the objective reality you experience as a human might be totally different for other species, and why this could be the key to understanding alien intelligence, extrasensory perception, and why there might be alien minds all around us right now that we simply can't perceive. Dr. Stephen Wolfram also breaks down: - Does the body have its own language? (And, if so, what autoimmune disease might be “saying") - What can truly be built from random mutation, and why evolution even works at all - How reductionist science is limiting medicine, and how living matter actually behaves - Why AI may function as an alien mind, and what that reveals about the shocking simplicity of human language - What makes the human mind special, how we evolved this way, and why that very fact proves we are not the most advanced species possible - Do computers use a form of telepathy to communicate with one another? He even takes us behind the scenes of his work as a consultant on the hit film ARRIVAL, explaining how alien logograms connect to his research on how language shapes human thought, what abstract concepts a bigger brain could comprehend, and what kinds of ideas we might be biologically incapable of imagining. If you're fascinated by astrophysics, AI, consciousness, aliens, evolution, mathematics, language, or the limits of human understanding, this episode of MBB will challenge everything you think you know! Take your personal data back with Incogni! Use code MAYIM at the link below and get 60% off an annual plan: ⁠https://incogni.com/mayim ⁠ Learn more about Dr. Stephen Wolfram and his work: ⁠https://www.stephenwolfram.com/⁠ Subscribe on Substack for Ad-Free Episodes & Bonus Content: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bialikbreakdown.substack.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠BialikBreakdown.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube.com/mayimbialik⁠⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoicesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What if everything you know about reality, intelligence, science, aliens, and even your own body…is wrong? In this mind-expanding conversation of Mayim Bialik's Breakdown, Dr. Stephen Wolfram — the legendary computer scientist, theoretical physicist, mathematician, founder of Wolfram Research — reveals how the groundbreaking technologies he created are re-shaping our understanding of the universe itself. We dive into the limits of science, the secrets of biological evolution, and why computational irreducibility may explain why some mysteries of nature can never be predicted, only experienced. Dr. Wolfram breaks down whether his computations suggest humanity is cosmically significant…or completely insignificant in a universe built from the same atoms repeating the same rules everywhere. Discover why the objective reality you experience as a human might be totally different for other species, and why this could be the key to understanding alien intelligence, extrasensory perception, and why there might be alien minds all around us right now that we simply can't perceive. Dr. Stephen Wolfram also breaks down: - Does the body have its own language? (And, if so, what autoimmune disease might be “saying") - What can truly be built from random mutation, and why evolution even works at all - How reductionist science is limiting medicine, and how living matter actually behaves - Why AI may function as an alien mind, and what that reveals about the shocking simplicity of human language - What makes the human mind special, how we evolved this way, and why that very fact proves we are not the most advanced species possible - Do computers use a form of telepathy to communicate with one another? He even takes us behind the scenes of his work as a consultant on the hit film ARRIVAL, explaining how alien logograms connect to his research on how language shapes human thought, what abstract concepts a bigger brain could comprehend, and what kinds of ideas we might be biologically incapable of imagining. If you're fascinated by astrophysics, AI, consciousness, aliens, evolution, mathematics, language, or the limits of human understanding, this episode of MBB will challenge everything you think you know! Take your personal data back with Incogni! Use code MAYIM at the link below and get 60% off an annual plan: ⁠https://incogni.com/mayim ⁠ Learn more about Dr. Stephen Wolfram and his work: ⁠https://www.stephenwolfram.com/⁠ Subscribe on Substack for Ad-Free Episodes & Bonus Content: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bialikbreakdown.substack.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠BialikBreakdown.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube.com/mayimbialik⁠⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

What if everything you know about reality, intelligence, science, aliens, and even your own body…is wrong? In this mind-expanding conversation of Mayim Bialik's Breakdown, Dr. Stephen Wolfram — the legendary computer scientist, theoretical physicist, mathematician, founder of Wolfram Research — reveals how the groundbreaking technologies he created are re-shaping our understanding of the universe itself. We dive into the limits of science, the secrets of biological evolution, and why computational irreducibility may explain why some mysteries of nature can never be predicted, only experienced. Dr. Wolfram breaks down whether his computations suggest humanity is cosmically significant…or completely insignificant in a universe built from the same atoms repeating the same rules everywhere. Discover why the objective reality you experience as a human might be totally different for other species, and why this could be the key to understanding alien intelligence, extrasensory perception, and why there might be alien minds all around us right now that we simply can't perceive. Dr. Stephen Wolfram also breaks down: - Does the body have its own language? (And, if so, what autoimmune disease might be “saying") - What can truly be built from random mutation, and why evolution even works at all - How reductionist science is limiting medicine, and how living matter actually behaves - Why AI may function as an alien mind, and what that reveals about the shocking simplicity of human language - What makes the human mind special, how we evolved this way, and why that very fact proves we are not the most advanced species possible - Do computers use a form of telepathy to communicate with one another? He even takes us behind the scenes of his work as a consultant on the hit film ARRIVAL, explaining how alien logograms connect to his research on how language shapes human thought, what abstract concepts a bigger brain could comprehend, and what kinds of ideas we might be biologically incapable of imagining. If you're fascinated by astrophysics, AI, consciousness, aliens, evolution, mathematics, language, or the limits of human understanding, this episode of MBB will challenge everything you think you know! Take your personal data back with Incogni! Use code MAYIM at the link below and get 60% off an annual plan: https://incogni.com/mayim Learn more about Dr. Stephen Wolfram and his work: https://www.stephenwolfram.com/ Subscribe on Substack for Ad-Free Episodes & Bonus Content: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bialikbreakdown.substack.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠BialikBreakdown.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube.com/mayimbialik⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoicesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What if everything you know about reality, intelligence, science, aliens, and even your own body…is wrong? In this mind-expanding conversation of Mayim Bialik's Breakdown, Dr. Stephen Wolfram — the legendary computer scientist, theoretical physicist, mathematician, founder of Wolfram Research — reveals how the groundbreaking technologies he created are re-shaping our understanding of the universe itself. We dive into the limits of science, the secrets of biological evolution, and why computational irreducibility may explain why some mysteries of nature can never be predicted, only experienced. Dr. Wolfram breaks down whether his computations suggest humanity is cosmically significant…or completely insignificant in a universe built from the same atoms repeating the same rules everywhere. Discover why the objective reality you experience as a human might be totally different for other species, and why this could be the key to understanding alien intelligence, extrasensory perception, and why there might be alien minds all around us right now that we simply can't perceive. Dr. Stephen Wolfram also breaks down: - Does the body have its own language? (And, if so, what autoimmune disease might be “saying") - What can truly be built from random mutation, and why evolution even works at all - How reductionist science is limiting medicine, and how living matter actually behaves - Why AI may function as an alien mind, and what that reveals about the shocking simplicity of human language - What makes the human mind special, how we evolved this way, and why that very fact proves we are not the most advanced species possible - Do computers use a form of telepathy to communicate with one another? He even takes us behind the scenes of his work as a consultant on the hit film ARRIVAL, explaining how alien logograms connect to his research on how language shapes human thought, what abstract concepts a bigger brain could comprehend, and what kinds of ideas we might be biologically incapable of imagining. If you're fascinated by astrophysics, AI, consciousness, aliens, evolution, mathematics, language, or the limits of human understanding, this episode of MBB will challenge everything you think you know! Take your personal data back with Incogni! Use code MAYIM at the link below and get 60% off an annual plan: https://incogni.com/mayim Learn more about Dr. Stephen Wolfram and his work: https://www.stephenwolfram.com/ Subscribe on Substack for Ad-Free Episodes & Bonus Content: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bialikbreakdown.substack.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠BialikBreakdown.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube.com/mayimbialik⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

WANTED: Developers and STEM experts! Get paid to create benchmarks and improve AI models. Sign up for Alignerr using our link: https://alignerr.com/?referral-source=briankeating Today's guest Bret Weinstein takes us on a fascinating journey to discover the next evolution of mankind. KEY TAKEAWAYS 00:00 "Universal Principles of Evolution" 08:14 "Soma, Germline, and Senescence" 12:34 "Life Cycle Adaptation Patterns" 17:46 "Hybrid Creatures, Not Resurrections" 24:01 "Biology, Ancestry, and Modern Pathology" 27:14 "Precautionary Principle and Hidden Risks" 33:51 "Antifragility: Growth Through Challenges" 41:02 Evolutionary Patterns in Nocturnal Vision 48:16 Culture: A Tool for DNA Goals 54:02 "Overhyped Fears of LLM AI" 55:55 Overhyping LLMs: Evolution Prevails 01:05:13 "Sober Realism About AI" 01:09:04 "Passion for Science, Not Professorship" 01:16:59 "Developing Independence and Skepticism" 01:18:42 "AI: A Modern Cassandra Warning" 01:26:30 "Rethinking Priorities: Solar Storms" 01:33:05 "Prioritizing Hazards Intelligently" 01:35:00 "Reprogramming Life's Blueprints" - Additional resources: Dark Horse Podcast: https://www.youtube.com/@DarkHorsePod/videos Peterson Academy Lecture Series: https://petersonacademy.com/?utm_source=Keating Get My NEW Book: Focus Like a Nobel Prize Winner: https://www.amazon.com/dp/B0FN8DH6SX?ref_=pe_93986420_775043100 Please join my mailing list here

Now on Spotify Video! Most people have been using AI for decades, but only a few understand how to leverage it. After more than 40 years in the field, Stephen Wolfram has seen how breakthroughs like ChatGPT seem to emerge out of nowhere, and he believes the real power isn't the technology itself, but learning how to think in a way machines can work with. In this episode of the AI Vault series, Stephen breaks down how artificial intelligence truly works, what the future of automation will look like,  and why mastering computational thinking is the next critical skill for entrepreneurs and innovators. In this episode, Hala and Stephen will discuss: (00:00) Introduction (02:31) His Early Fascination With Science and AI (05:52) How Artificial Intelligence Began (14:18) The Foundations of Computational Thinking (21:31) The Role of Computational Thinking in AI (25:52) How ChatGPT and Neural Networks Work (33:45) Can AI Develop Real Consciousness? (39:23) How AI Will Transform the Future of Work (45:27) Will AI in Action Surpass Human Intelligence? Stephen Wolfram is a computer scientist, mathematician, theoretical physicist, and the founder and CEO of Wolfram Research. He created Mathematica, Wolfram Alpha, and the Wolfram Language, and is widely recognized for his pioneering work in computation and complex systems. A MacArthur “Genius” Grant recipient, Stephen has authored several influential books, including What Is ChatGPT Doing? Today, he stands as one of the leading voices shaping global understanding of AI and computational thinking. Sponsored By: Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/PROFITING  Shopify - Start your $1/month trial at Shopify.com/profiting.  Revolve - Head to REVOLVE.com/PROFITING and take 15% off your first order with code PROFITING  DeleteMe - Remove your personal data online. Get 20% off DeleteMe consumer plans at to joindeleteme.com/profiting  Spectrum Business - Visit Spectrum.com/FreeForLife to learn how you can get Business Internet Free Forever. Airbnb - Find yourself a cohost at airbnb.com/host  Northwest Registered Agent - Build your brand and get your complete business identity in just 10 clicks and 10 minutes at northwestregisteredagent.com/paidyap Framer - Publish beautiful and production-ready websites. Go to Framer.com/design and use code PROFITING Intuit QuickBooks - Bring your money and your books together in one platform at QuickBooks.com/money  Resources Mentioned: Stephen's Book, What Is ChatGPT Doing?: bit.ly/-ChatGPT  Stephen's Website: stephenwolfram.com  Stephen's Book, A New Kind of Science: bit.ly/NKScience  Stephen's Book, An Elementary Introduction to the Wolfram Language: bit.ly/WolframL  Active Deals - youngandprofiting.com/deals  Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter  LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new  Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Startup, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, AI Marketing, Prompt, AI in Business, Generative AI, AI for Entrepreneurs, AI Podcast 

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Try Shortform, the invaluable app that helps me prepare for every conversation I have! Get $50 off the annual plan at https://shortform.com/impossible Today, I'm speaking with Jaron Lanier, a pioneer in VR, about where it will take us next to expand human consciousness. In this wide-ranging conversation, Jaron Lanier explores how technology reshapes perception, identity, and the future of humanity. From the psychology of virtual reality to the energy demands of modern AI, we trace how today's tools influence what it means to be human—and what kind of humans we might ultimately become. KEY TAKEAWAYS 00:01:52 Lanier warns AI may reduce human uniqueness. 00:09:23 VR can alter how we perceive and inhabit our bodies. 00:12:58 VR faces biological limits like cyber-sickness. 00:28:43 Reality and VR both distort perception in useful ways. 00:40:20 AI's rapid growth is driving major energy demands. 00:54:59 Apple's original “iPhone” idea was partly inspired by Lanier's VR headset. 01:00:53 Talmudic tradition shows the value of preserving multiple perspectives. 01:14:59 Human senses are both extremely precise and deeply flawed. 01:31:10 Tech culture often mimics medieval-style philosophical debates. 01:41:45 Social media harms users by manipulating attention. 01:51:26 Technology shapes the kind of humans we choose to become. - Additional resources: Get My NEW Book: Focus Like a Nobel Prize Winner: https://www.amazon.com/dp/B0FN8DH6SX?ref_=pe_93986420_775043100 Please join my mailing list here

What happens when a government abruptly cuts off the lifeline of pure science? Imagine canceling Albert Einstein just before he published [E = mc². Terence Tao, the “Mozart of Mathematics,” was one of the unlucky researchers hit when the Trump administration suddenly terminated his federal research funding. Today, I walk and talk with Tao at UCLA to understand how America's greatest living mathematician found himself blindsided by a bureaucratic earthquake — and what it means for the future of discovery. This is Part 1 of our deep dive into Tao's work, his warnings about the collapse of U.S. research infrastructure, and why mathematics is the unseen root system supporting all of modern technology.

Get my book Focus Like a Nobel Prize Winner: https://www.amazon.com/Into-Impossible-Laureates-Concentrate-Creativity/dp/1544548850 Imagine the day that aliens arrive not with a death ray, but with a rug and a new understanding of physics. Daniel Whiteson's new book opens with a wild question what if aliens show up with a better understanding of physics, we can't even recognize that's what they're offering. How would you react? This is his hope that aliens might carry the product of millions, billions, or kazillions of years of alien scientific thought that would catapult us unimaginably into the future. But Daniel speculates on why we might not be able to understand even the language it's written in. Join us today for a conversation about Daniel Whiteson's new book, Do Aliens Speak Physics? And a Romp Through the Drake Equation The Future of Artificial Intelligence, and physics, and even the search for exotic new particles. Now let's go deep into the impossible. Key Takeaways 00:00 "Do Aliens Speak Physics?" 08:07 "Are Aliens Humanity's Saviors?" 15:07 Early Attempts to Contact Aliens 19:03 Math: Tool or Universal Truth? 25:03 "Limits of Understanding the Universe" 29:30 "Possibility of Alien Communication" 36:21 "Learning from Alien Discovery" 37:08 "Physics, Humanity, and Alien Insight" 46:08 "AI, Physics, and Possibilities" 51:58 Technical Talk and Nobel Prize 53:23 "Quirks and Particle Physics Missteps" 01:01:17 Serendipity and Nobel Pursuits - Additional resources: Buy Daniel's Book: https://www.amazon.com/Do-Aliens-Speak-Physics-Questions/dp/1324064641 Get My NEW Book: Focus Like a Nobel Prize Winner: https://www.amazon.com/dp/B0FN8DH6SX?ref_=pe_93986420_775043100 Please join my mailing list here