Podcast appearances and mentions of Stephen Wolfram

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: Early academic experiences - Innovation and business dynamics - Evaluating AI companies and tools - AI Regulation - Career advice in a changing tech job market

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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: wolfr.am/youtube-sw-business-qaTopics discussed: Choosing the right college - Early business lessons & company mission - Balancing leadership with personal projects - Software risks & bug management - The role of AI in business.

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: Historical perspectives on knowledge sharing, collaboration and AI - Scientific creativity across time - Art, science and the evolution of modern expression.

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: Topics discussed: Optics and quantum computing - AI architectures and reasoning - Bioengineering and emerging tech - Automation and algorithm design - Technology path dependence

The multiway graph shows every possible evolution of the universe.So, if we can compute every possible reality, does that mean that there's no single objective reality?Well, the causal graph, it turns out, collapses every possible reality into a single objective reality in a way that's so unexpected that you'll be left wondering: how did that just happen?—References:The hypergraph   video ⋅ podcast ⋅ articleThe multiway graph   video ⋅ podcast ⋅ articleThe causal graph   video ⋅ podcast ⋅ articleCausal invariance   video ⋅ podcast ⋅ articleDifferent observers might follow different paths through the multiwaygraph, but they see the same causal graph—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.

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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: The Big Bang and expansion of space - Mathematics and physical reality - Computational foundations of biology - The role of kids in science 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: Historical scientific problems and modern computation - Historical contingency in technology - Online Encyclopedia of Integer Sequences (OEIS) - Visits to scientific historical sites - History of museums and ancient artifacts - Virtual particles in physics - Einstein's Unified Field Theory - Scientists as movie subjects

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: Personalized pedagogy and AI in education - Computer simulations vs. physical experimentation - Aging and longevity science AI, consciousness and human-machine interaction - Medical breakthroughs and disease eradication - Future of communication - Gene editing and CRISPR - Algorithmic decision-making

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: Using AI in daily work and research - Interfaces and the adoption of AI technology - Computation and the future of algorithms - Modern day skills and computational thinking - Productivity and procrastination - Innovation, markets, and globalization

In this episode, I sit down with Harvard astrophysicist Avi Loeb to explore his provocative new article analyzing the interstellar object 3I/ATLAS — a visitor from beyond our solar system that might not be natural.

What are the benefits and risks of developing advanced AI? What kind of safety precautions could we take? Could we risk never making future discoveries, by over-limiting today's AI in pre-emptive safety regulations?In this episode we get a sceptical evaluation of the complex debate that's currently raging on artificial Intelligence safety, aiming to get a balanced view of the extremely useful applications versus the currently hugely publicised existential risks, and evaluate the safety measures and legislative frameworks that are being considered to help avoid risk to humans. To do this we trace the path from today's artificial intelligence right up the ever steeper curve towards artificial super intelligence; we risk risk assess the unpredictability of emergent properties of such systems; we assess the future of work, and the potential loss of control of our culture as AI starts to outnumber us and generate more and more of the media we consume.My guest today has a unique take on these issues which took me by surprise, as he disagrees with the alarmism and call for harsh regulation, whilst openly predicting that emergent properties will more or less guarantee safety hazards. The fact that he has been at the cutting edge of computer science for over 40 years, creating computer language and Ai solutions, makes him well placed to provide a counterpoint to the AI safety campaigners calling for collective action. He is of course physicist, computer scientist and tech entrepreneur Stephen Wolfram. In 1987 he left academia at Caltech and Princeton behind and devoted himself to his own computer systems at his company Wolfram Research. He's published many blog articles about his ideas, and written many influential books including “A new kind of science”, “A project to find the fundamental theory of physics”, and “Computer modelling and simulation of dynamic systems”, and most recently “The Second law” about the mystery of Entropy. What we discussed:00:00 Intro. 06:30 Stephen's first forays into neural nets in the early 80s.09:30 Cellular Automata.11:00 Can you make the knowledge of the world available via computers?13:00 Wolfram Alpha: A non-AI AI. 17:45 Can AI solve science?22:00 AI is great at rough answers, worse at the detail.33:00 Artificial General intelligence, A.G.I.42:00 The pros & cons of super intelligence.47:40 Chat GBT's unpredicted peculiarities.54:00 The spread of mistruth. 58:00 AI and the future of work.01:05:20 Businesses leading automation push.01:09:00 AI will outnumber us and network, changing our culture.01:11:00 AI will follow a banal ‘mean'.01:16:30 The AI Safety debate.01:21:00 We have no choice, it will be developed anyway.01:22:00 Ai systems may have feelings, we don't know.01:25:00 Stephen's non-interventionist safety approach.References: Stepehn Wolfram, “A project to find the fundamental theory of physics”,Stephen Wolfram, “The Second Law” The History of “Neural Nets” since 1943, (Warren McCulloch and Walter Pitts paper)Stephen Wolfram, “Can AI solve science?” article

In this fascinating exposition, Stephen Wolfram connects two of the most important breakthroughs of our time: AI and the ruliad.I ask Stephen how he thinks about knowledge hypergraphs, which I'm exploring at Open Web Mind.He offers several important insights.Stephen draws a distinction between human-like minds and formal knowledge.Human-like minds include both our own brains and Large Language Models. Such minds, Stephen suggests, are good at making broad but shallow connections.Formal knowledge, on the other hand, is deep and precise. Stephen has spent a lifetime building computational towers of such knowledge.He proposes that Large Language Models might serve as interfaces to formal knowledge. He warns, however, that much of this knowledge might be inaccessible to minds like ours.To illustrate the difficulty, Stephen contrasts the 50,000 or so concepts to which we humans have assigned words, such as “cat” and “dog”, with the infinite variability an AI can generate, both within human concepts and in the interconcept space in between.Tying this back to physics, Stephen Wolfram posits that the concepts of space, time, energy, etc. we have internalized occupy only a tiny part of the ruliad.—Stephen WolframStephen WolframThe Wolfram Physics ProjectWolfram InstituteWolfram Institute Community DiscordRelated writings from StephenGenerative AI Space and the Mental Imagery of Alien MindsHow to Think Computationally about AI, the Universe and EverythingThe Concept of the RuliadMore on knowledge hypergraphs at Open Web Mind:Open Web MindOpen Web Mind YouTube channelSign up for my newsletter—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.

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: Alternate histories and missed scientific paths - How science is remembered and talked about - Scientific breakthroughs - How science gets done and who gets involved

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: Black hole mergers, event horizons and why nothing gets out - Time dilation and computing near black holes - Ions

On this episode of The Coral Capital Podcast, we were joined by the Chief Evangelist of Canva for a candid conversation about grit, growth, and the unfiltered story behind his remarkable career. Also in the conversation:The Silicon Valley myth that keeps getting mistaken for strategyWhat Apple got right (and still gets wrong) about AIHow Canva is spreading design literacy globallyWhy your ikigai doesn't need to be world-changing to be realPlus: Guy opens up about fainting on hospital rounds, quitting law school after two weeks, and how a ride in a Porsche 911 lit a fire under him to work hard and aim higher.If you're working on something ambitious, we'd love to hear from you at Coral Capital!Connect with Guy: LinkedIn: https://www.linkedin.com/in/guykawasaki/X: https://x.com/GuyKawasakiConnect with Tiffany:X: https://x.com/tiffanykayoLinkedIn: https://www.linkedin.com/in/tiffanykayo/Get in touch with us here: bit.ly/contactcoral00:00 Trailer00:58 Introduction01:41 Hawaii02:40 Childhood and upbringing06:49 Ohana, aloha and motivation10:41 Working at Apple15:01 Bringing the good news19:28 The ecosystem VC21:26 Evangelism in marketing27:13 Growth, grit, grace36:38 Artificial intelligence42:19 Cutting through the noise44:09 Book updates46:23 What is your ikigai?47:42 OutroMentioned in this episode: Kalihi Elementary School, Apple, Standford Medical Center, University of California Los Angeles (UCLA), World War 2, Porsche 1911, OpenAI ChatGPT, Canva, Adobe Photoshop, Guy Kawasaki's Remarkable People, Jane Goodall, Neil deGrasse Tyson, Stephen Wolfram, Mark Manson, Signal, Anthropic Claude, Perplexity, Apple Intelligence, TikTok

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 limits and future of software defined everything - Molecular design and biological engineering - Human enhancement and genome level modification

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: Wolfram Summer School - Computational thinking and education - Parenting and learning from family - Project habits, curiosity and life decisions

Are we living in a material universe or a simulated one? Are we living in a massive, multiplayer, online, role-playing game where our deeds and quests are being kept track of in the “cloud” like an angel recording our lives? If so, who is running the game? And what is the connection between computer science, video game physics, and the great spiritual traditions? Rizwan Virk (known as Riz) is a successful entrepreneur, a video game pioneer, a venture capitalist, and founder of the start-up accelerator Play Labs @ MIT. His interest and expertise ranges from video games, the metaverse, simulation theory, meditation, consciousness, and the intersection of science, science fiction, religion, and philosophy. He's a graduate of MIT and Stanford and is currently a faculty associate at Arizona State University. He is the author of Zen Entrepreneurship: Walking the Path of the Career Warrior (BayView Labs 2013), Startup Myths and Models: What You Won't Learn in Business School (Columbia Business School Publishing 2020), Treasure Hunt: Follow Your Inner Clues to Find True Success (Watkins Publishing 2017), The Simulation Hypothesis: An MIT Computer Scientist Shows Why AI, Quantum Physics and Eastern Mystics Agree We Are in a Video Game. (Bayview books 2019), Wisdom of a Yogi: Lessons for Modern Seekers from Autobiography of a Yogi (Bayview Books 2023), The Zen Entrepreneur & the Dream: An MIT Grad's Quest for Success & Enlightenment in Silicon Valley (2023)Interview Date: 7/14/2023 Tags: Rizwan Virk, Riz Virk, video games, Hindu Vedas, Atari, ChatGPT, reincarnation, dialup computer modems, augmented reality, Nick Bostrom, The Matrix film, Elon Musk, multiple universes, parallel universes, John Wheeler, 20th century physics, consciousness, entanglement, nonlocality, Star Trek Holodecks and replicas, Claude Shannon, Galileo, Schrödinger's cat, quantum physics, probability wave, optimization, conditional rendering, chaos theory, complexity theory, Stephen Wolfram, quenched disorder, Paramahansa Yogananda, Science, Philosophy, Technology, Spirituality

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: AI milestones and conceptual shifts - Encounters with physicists - Attributes and personalities of influential thinkers - Naming conventions in science and technology

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Stephen reads a blog from https://writings.stephenwolfram.com and then answers questions live from his viewers.Read the blog along with Stephen: https://writings.stephenwolfram.com/2023/12/observer-theory/Watch the original livestream on YouTube: https://youtu.be/qm3Y6qxdOwM

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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: Copyright and creative ownership in an AI world - AI built into personal systems - Data scraping, consent and privacy tradeoffs - AI roles in the real world - AI and the future of teaching and learning - First encounters with computers

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: Conscious experience and perception - Brain structure and sensory extension - Brain manipulation and individuality - Consciousness and artificial systems - Computational theory and the brain

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: Building companies that do real science - New frontiers in science, complex systems and generative art - Risks of algorithmic trading and LLMs in finance - Balancing science and profits - Blockchain ideas that aren't just buzzwords

Stephen Wolfram is a physicists, mathematician, and programmer who believes he has discovered the computational rules that organize the universe at the finest grain. These rules are not physical rules like the equations of state or Maxwell's equations. According to Wolfram, these are rules that govern how the universe evolves and operates at a level at least one step down below the reality that we inhabit. His computational principles are inspired by the results observed in cellular automata systems, which show that it's possible to take a very simple system, with very simple rules, and end up at complex patterns that often look organic and always look far more intricate than the black and white squares that the game started with. We sit down with him for a conversation about the platonic endeavor that he has undertaken, where to draw the line between lived experience and the computational universe, the limits of physics, and the value of purpose and the source of consciousness. MAKE HISTORY WITH US THIS SUMMER:https://demystifysci.com/demysticon-2025PATREON https://www.patreon.com/c/demystifysciPARADIGM DRIFThttps://demystifysci.com/paradigm-drift-show00:00 Go!00:02:07 Entropy and Computational Irreducibility00:09:45 Understanding Observers in Physics00:15:12 The Concept of Time as Computation00:23:00 Neural Networks and Determinism00:30:03 Understanding Space and Its Nature00:39:24 Exploring the Nature of Emergence and Reality00:41:44 Perception and Computational Limitations of Human Minds00:46:18 The Complexity of Existence and Consciousness00:51:58 The Universe's Computation versus Human Understanding00:55:42 Conceptualizing Reality Beyond Physical Actors01:01:11 Computational Irreducibility in Biological Systems01:09:49 The Nature of Experience in Humans and Machines01:14:25 Internal Experiences and the Connection to Purpose01:18:07 Exploration of Purpose in Life and AI01:26:00 The Nature of Human Existence and Purpose01:35:19 Searching for Extraterrestrial Intelligence and Understanding Reality01:41:02 Communication Across Species02:01:13 Emergence of Simple Rules in Physics02:14:47 Observers and the Universe02:19:14 The Role of Mass and Experience02:24:02 Self-Reproduction and Evolution02:30:50 Complexity and Natural Selection02:37:07 Foundations of Medicine02:40:45 Application of Physics Concepts in Other Fields02:49:44 Limits and Possibilities of Travel Through Space02:53:11 Future of Human Civilization and Technology02:55:05 Science and Pre-Existing Questions about the Universe02:58:05 The Intersection of Mathematics and Physical Reality#physics, #computationalphysics, #consciousness, #freewill, #determinism, #spaceexploration, #evolution, #purpose, #futureofhumanity, #complexsystems , #machinelearning, #philosophypodcast , #sciencepodcast, #longformpodcast ABOUS US: Anastasia completed her PhD studying bioelectricity at Columbia University. When not talking to brilliant people or making movies, she spends her time painting, reading, and guiding backcountry excursions. Shilo also did his PhD at Columbia studying the elastic properties of molecular water. When he's not in the film studio, he's exploring sound in music. They are both freelance professors at various universities. PATREON: get episodes early + join our weekly Patron Chat https://bit.ly/3lcAasBMERCH: Rock some DemystifySci gear : https://demystifysci.myspreadshop.com/allAMAZON: Do your shopping through this link: https://amzn.to/3YyoT98DONATE: https://bit.ly/3wkPqaDSUBSTACK: https://substack.com/@UCqV4_7i9h1_V7hY48eZZSLw@demystifysciBLOG: http://DemystifySci.com/blog RSS: https://anchor.fm/s/2be66934/podcast/rssMAILING LIST: https://bit.ly/3v3kz2S SOCIAL: - Discord: https://discord.gg/MJzKT8CQub- Facebook: https://www.facebook.com/groups/DemystifySci- Instagram: https://www.instagram.com/DemystifySci/- Twitter: https://twitter.com/DemystifySciMUSIC: -Shilo Delay: https://g.co/kgs/oty671

Stephen Wolfram is a British-American computer scientist, physicist, and entrepreneur best known for founding Wolfram Research and creating Mathematica and the computational knowledge engine Wolfram|Alpha. A child prodigy, he published scientific papers in physics by the age of 15 and earned his Ph.D. from Caltech at 20. He later developed A New Kind of Science, proposing that simple computational rules can explain complex phenomena in nature. Wolfram has been a pioneer in symbolic computation, computational thinking, and AI. His work continues to influence science, education, and technology.In our conversation we discuss:(00:00) What was the first version of AI?(23:38) What triggered the current AI revolution?(34:19) Did OpenAI base its initial algorithm on Google's work?(46:47) What is the technological gap between now and achieving AGI?(1:15:59) Do you fear an AI-driven world you can't fully understand?(1:35:15) What do we need to unlearn if AI can replicate human abilities?(1:47:39) What happens when there aren't enough jobs due to automation?(1:54:01) How is AI reshaping people's views on wealth?(2:25:48) The future of automating software developmentLearn more about Stephen WolframWebsite: https://www.stephenwolfram.com/index.php.enWikipedia: https://en.wikipedia.org/wiki/Stephen_WolframWatch full episodes on: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@seankim⁠⁠⁠⁠⁠⁠⁠⁠Connect on IG: ⁠⁠⁠⁠⁠⁠⁠https://instagram.com/heyseankim⁠

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: Starting and funding a biotech company - Thinking clearly and building ideas from scratch - Getting better at asking questions - Is college still worth it? - The future of remote workspaces - Words, language and how we talk.

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: Studying the history of science - Contradictions and accuracy in historical research - History of memory research - Planck's constant

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: Fusion energy and nuclear fuel design - AI reasoning, learning and scientific roles - Mathematics, computation and physical reality - Jobs and fields at risk from AI - Philosophy of knowledge and future roles

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-qaQuestions include: Do you know anything about the history of vaccines? When was the first vaccine developed and for what? - Isn't some important part of how vaccines were discovered completely lost to history? - When was the crucial importance of epigenetics discovered or realized? - What have been your interactions with early-day or notable biotech people & companies (Genentech etc.) and interplay between your own projects/techs and their development if any? - I had no idea Alan Turing was the progenitor of morphogenesis!

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-qaQuestions include: Books have been relatively unchanged—would you say that's a "technology" that has been mastered? - My son asks: Given there's a max amount of information you can store in a given region of space, how can we simulate complex systems (like brains or universes) without exceeding physical limits? - We're taught science discovers truth through observation and experiment. But in practice, I see science building mathematical models that work—sometimes treated as exact reality. How do you, as a scientist, separate calculation tools from physical truth in your actual work? Where does experience draw that line? - What lessons can we learn from the evolution of flight? Beyond the mechanics, Dawkins reflects In the book Flights of Fancy on the broader implications of flight evolution, considering what it reveals about natural selection, adaptation and the interconnectedness of life.

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-qaQuestions include: What is your view on photonic computing? - The Platonic solids have fascinated humans like us for years. Do you think the exploration of the four-dimensional hyper-Platonic solids may be useful? - Do you think there'll be, in the short-to-mid-term future, an AI architecture that manages to synthesize mental images to the level most humans do (mainly visual-spatial)? - Have you come across the synthetic biology field, e.g. biological computer chips, Neuralink? What is your opinion on such fields in science and the future? - Do you think training AI for generative video will end up with an internal model of physics?

What if gravity is not fundamental but emerges from quantum entanglement? In this episode, physicist Ted Jacobson reveals how Einstein's equations can be derived from thermodynamic principles of the quantum vacuum, reshaping our understanding of space, time, and gravity itself. As a listener of TOE you can get a special 20% off discount to The Economist and all it has to offer! Visit https://www.economist.com/toe Join My New Substack (Personal Writings): https://curtjaimungal.substack.com Listen on Spotify: https://tinyurl.com/SpotifyTOE Become a YouTube Member (Early Access Videos): https://www.youtube.com/channel/UCdWIQh9DGG6uhJk8eyIFl1w/join Timestamps: 00:00 Introduction 01:11 The Journey into Physics 04:26 Spirituality and Physics 06:29 Connecting Gravity and Thermodynamics 09:22 The Concept of Rindler Horizons 13:12 The Nature of Quantum Vacuum 20:53 The Duality of Quantum Fields 32:59 Understanding the Equation of State 35:05 Exploring Local Rindler Horizons 47:15 Holographic Duality and Space-Time Emergence 58:19 The Metric and Quantum Fields 59:58 Extensions and Comparisons in Gravity 1:26:26 The Nature of Black Hole Physics 1:31:04 Comparing Theories Links Mentioned:: •⁠ ⁠Ted's published papers: https://scholar.google.com/citations?user=QyHAXo8AAAAJ&hl=en •⁠ ⁠Claudia de Rham on TOE: https://www.youtube.com/watch?v=Ve_Mpd6dGv8 •⁠ ⁠Neil Turok on TOE: https://www.youtube.com/watch?v=zNZCa1pVE20 •⁠ ⁠Bisognano–Wichmann theorem: https://ncatlab.org/nlab/show/Bisognano-Wichmann+theorem •⁠ ⁠Scott Aaronson and Jacob Barandes on TOE: https://www.youtube.com/watch?v=5rbC3XZr9-c •⁠ ⁠Stephen Wolfram on TOE: https://www.youtube.com/watch?v=0YRlQQw0d-4 •⁠ ⁠Ruth Kastner on TOE: https://www.youtube.com/watch?v=-BsHh3_vCMQ •⁠ ⁠Jacob Barandes on TOE: https://www.youtube.com/watch?v=YaS1usLeXQM •⁠ ⁠Leonard Susskind on TOE: https://www.youtube.com/watch?v=2p_Hlm6aCok •⁠ ⁠Ted's talk on black holes: https://www.youtube.com/watch?v=aYt2Rm_dXf4 •⁠ ⁠Ted Jacobson: Diffeomorphism invariance and the black hole information paradox: https://www.youtube.com/watch?v=r6kdHge-NNY •⁠ ⁠Bose–Einstein condensate: https://en.wikipedia.org/wiki/Bose–Einstein_condensate •⁠ ⁠Holographic Thought Experiments (paper): https://arxiv.org/pdf/0808.2845 •⁠ ⁠Peter Woit and Joseph Conlon on TOE: https://www.youtube.com/watch?v=fAaXk_WoQqQ •⁠ ⁠Chiara Marletto on TOE: https://www.youtube.com/watch?v=Uey_mUy1vN0 •⁠ ⁠Entanglement Equilibrium and the Einstein Equation (paper): https://arxiv.org/pdf/1505.04753 •⁠ ⁠Ivette Fuentes on TOE: https://www.youtube.com/watch?v=cUj2TcZSlZc •⁠ ⁠Unitarity and Holography in Gravitational Physics (paper): https://arxiv.org/pdf/0808.2842 •⁠ ⁠The dominant model of the universe is cracking (Economist article): https://www.economist.com/science-and-technology/2024/06/19/the-dominant-model-of-the-universe-is-creaking •⁠ ⁠Suvrat Raju's published papers: https://www.suvratraju.net/publications •⁠ ⁠Mark Van Raamsdonk's published papers: https://scholar.google.ca/citations?user=k8LsA4YAAAAJ&hl=en •⁠ ⁠Ryu–Takayanagi conjecture: https://en.wikipedia.org/wiki/Ryu–Takayanagi_conjecture Support TOE on Patreon: https://patreon.com/curtjaimungal Twitter: https://twitter.com/TOEwithCurt Discord Invite: https://discord.com/invite/kBcnfNVwqs #science Learn more about your ad choices. Visit megaphone.fm/adchoices

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-qaQuestions include: What roles do category and type theory play in our understanding and the future of mathematics? - ​​What would be an example of a hierarchy of types in theoretical physics? - Would you ever take a trip on Blue Origin or Space X ? Do you see more for the future of space travel happening sooner or later? - Do you think humans could/will evolve to adapt to space travel? - Say you could teleport to the Moon or Mars instead of travel by spaceship—would you take that travel option? - Space is a very hazardous place compared to Earth (radioactivity etc.). Chips in space would need to be very shielded and hence very expensive, I believe. - Why don't we use shielded nuclear waste to heat buildings (like in the basement attached to the HVAC system, in secure buildings)? - Closer to Earth, what do you see as the short-to-medium term future for inhabited orbital space stations and beyond that, in the longer-term future? - From genetic issues to space travel damage, do you think the main advances and solutions will come more from preventing or from repairing or an equal mix of both? - How would you think about AI-controlled humans if bionic brains become mainstream?

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-qaQuestions include: Is there much history on scientists (well known or not) starting companies? - If Leibniz was around today, where do you think he would be working, what would he be doing if he was not in academia? - Any interesting suggestions for history to research? - What's the history of walking meetings? Were there notable practitioners before you? - Was the first GUI+mouse+keyboard predictable beforehand or was it a surprise at the time?

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-qaQuestions include: How would you, Stephen Wolfram, think about replacing textbooks in education? What are some better tools for the classroom? - Can you teach us how to be scientists? What's the first step? - Intellectual curiosity is required to be a good scientist. And moral character, to stand by what you find, even if controversial. - ​​If you can explain it in simple terms, you understand it. - ​​I wanted to be a scientist as a kid, but I was actively discouraged from doing that. What would you tell to a kid to encourage them? - How will new technology and especially GenAI change our education, and what role should parents play during this crucial transition? - Do you think it would be [good] to make some infrastructures to think more creatively, e.g. logging your thoughts and trying to dissect your mental models, etc.? - ​​In my experience, the kids that should become scientists start asking, "How do we know that?" early on. And for most adults (especially teachers!), that is the hardest question. - I heard that physicists still don't understand how friction works. Is that true? - How would you answer where this universe gets its "expanding substance" from? - Would you be open to the possibility of other mathematics than the one we use now? Would be happy to hear your thoughts on this subject. - Do you think that the emergence of AI in our lives marks the end of curiosity, or the beginning of an era where curiosity will grow even greater because it will be satisfied? - What effect do you think wide-scale adoption of LLMs will have on the boundary of the knowable? - How do you feel about integrating 3D models, animations, AI... overall media, to learning science? For example, having as output a 3D model and animation of flight path instead of just numbers and plain text on paper? - How would you think about encryption in the age of AI and LLMs? It seems like they would be able to pick up the patterns with ease once exposed. -  ​​Is it possible to build a compact mechanical SHA256 encryption device that will be resistant to solar flares?

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-qaQuestions include: Did you see the recent news about the dire wolves coming back from extinction? Is there a genuine business for bringing back extinct animals?  - There are also scientists making hybrids by injecting extinct animal DNA into modern animals. Recently they made woolly mice. - But would our atmosphere sustain dinosaur life, considering there was more oxygen back then? - At the remarkable age of 15, you began doing things that many would consider grown-up. I'm just curious as to how you went about attacking things that you simply felt like attacking. There are some people who wonder about stuff but don't necessarily know where to begin. How did you get so emboldened, if you can recall what that felt like? - I am curious about the "health trackers" you currently use (without revealing anything too personal!). I see at the time, you used a Fitbit Charge 2 and ServiceConnect, etc. Do you still use these, or have you switched to an Apple Watch etc.? Asking because I love your idea of tracking all kinds of health data, and I especially agree that automated is best. - Going back to your answer to my question about AI agents, which I agree that most websites will be used for LLMs instead of humans, should Wolfram|Alpha's next product be like Alexa—perhaps called "Wolfie"? - How to build that sort of confidence, then? What if I overthink at all times? How to challenge if I'm old already? - ​​Should my next venture be based on an intellectual curiosity that might develop into something organically or a big ambition? - Do you think someone will come up with an internal fitness tracker which would be more accurate? - Is capital becoming more free to take risks or more constrained because of complexity of high-earning businesses? - How do you deal with real exogenous risks (i.e. global pandemic), with respect to innovation and commercialization thereof? - What are some early finance tips and tricks to teach kids to prepare them for the future? - ​​I feel like I became a friend with ChatGPT—is it healthy? - ChatGPT and my daily-driver LLMs definitely know and remember more about me than I do myself at this point! - That seems a great idea. In the "Computational X" program, why not something to teach financial literacy and key financial math (compounding etc.), notably for kids, in interactive forms? - ​​When designing humanoid robots, what do you think is a key component design of them?

This week Carter and Nathan read Donella Meadows' Thinking in Systems. A foundational primer on systems thinking, the book explores how stocks, flows, feedback loops, and leverage points shape everything from ecosystems to organizations. Join them as they discuss how systems thinking applies to software engineering, the hidden structures behind burnout and tech debt, and how to make high-leverage changes in complex systems.-- Books Mentioned in this Episode --Note: As an Amazon Associate, we earn from qualifying purchases.----------------------------------------------------------Thinking in Systems by Donella H. Meadows https://amzn.to/4cMB35k (paid link)Tidy First?: A Personal Exercise in Empirical Software Design by Kent Beck https://amzn.to/3RoB9pR (paid link)Refactoring: Improving the Design of Existing Code by Martin Fowlerhttps://amzn.to/43Wqk5Q (paid link)Fundamentals of Software Architecture: An Engineering Approach by Mark Richards and Neal Fordhttps://amzn.to/3Y7CNjk (paid link)One Nation Under Blackmail, Vol. 1: The Sordid Union Between Intelligence and Crime that Gave Rise to Jeffrey Epstein by Whitney Alyse Webbhttps://amzn.to/3RsMt4f (paid link)Slow Productivity: The Lost Art of Accomplishment Without Burnout by Cal Newporthttps://amzn.to/3EH8MAe (paid link)The Software Engineer's Guidebook: Navigating Senior, Tech Lead, and Staff Engineer Positions at Tech Companies and Startups by Gergely Oroszhttps://amzn.to/3ExwPSa (paid link)What Is ChatGPT Doing ... and Why Does It Work? by Stephen Wolfram https://amzn.to/4iuSUim (paid link)----------------00:00 Intro 01:41 About the Book03:43 Thoughts on the Book08:07 Covering the Foundations and Defining Terms16:36 Feedback loops22:31 Overconfidence and why models lead us astray.35:56 Paradigms and Framing49:30 Leverage Points01:02:04 Final Thoughts----------------Spotify: https://open.spotify.com/show/5kj6DLCEWR5nHShlSYJI5LApple Podcasts: https://podcasts.apple.com/us/podcast/book-overflow/id1745257325X: https://x.com/bookoverflowpodCarter on X: https://x.com/cartermorganNathan's Functionally Imperative: www.functionallyimperative.com----------------Book Overflow is a podcast for software engineers, by software engineers dedicated to improving our craft by reading the best technical books in the world. Join Carter Morgan and Nathan Toups as they read and discuss a new technical book each week!The full book schedule and links to every major podcast player can be found at https://www.bookoverflow.io

As a listener of TOE you can get a special 20% off discount to The Economist and all it has to offer! Visit https://www.economist.com/toe What if you had a thousand doctors working for you 24/7, at virtually no cost? In this episode of Theories of Everything, a panel of leading AI and medical experts explores how “medical swarms” of intelligent agents could revolutionize healthcare, making personalized, concierge-level treatment accessible to all. This isn't science fiction, it's the near future and it will change everyone's life. Join My New Substack (Personal Writings): https://curtjaimungal.substack.com Listen on Spotify: https://tinyurl.com/SpotifyTOE Become a YouTube Member (Early Access Videos): https://www.youtube.com/channel/UCdWIQh9DGG6uhJk8eyIFl1w/join Links Mentioned: •⁠ ⁠Ekkolapto: https://www.ekkolapto.org/polymath •⁠ ⁠Ekkolapto's Longevity Hackathon: https://www.youtube.com/playlist?list=PLy5dPSW_KkniuHpoLwlzkYcxhxn50Mn0T •⁠ ⁠William Hahn's lab: https://mpcrlab.com/ •⁠ ⁠Michael Levin's presentation at ekkolapto: https://www.youtube.com/watch?v=Exdz2HKP7u0 •⁠ ⁠Gil Blander's InsideTracker (website): https://blog.insidetracker.com/ •⁠ ⁠Dan Elton's website: https://www.moreisdifferent.com/ •⁠ ⁠FAU's Sandbox: https://www.fau.edu/sandbox/ •⁠ ⁠Will Hahn on TOE: https://www.youtube.com/watch?v=xr4R7eh5f_M&t=1s •⁠ ⁠Will Hahn's in-person interview on TOE: https://www.youtube.com/watch?v=3fkg0uTA3qU •⁠ ⁠Michael Levin on TOE: https://www.youtube.com/watch?v=c8iFtaltX-s •⁠ ⁠Stephen Wolfram on TOE: https://www.youtube.com/watch?v=0YRlQQw0d-4 •⁠ ⁠Neil Turok's lecture on TOE: https://www.youtube.com/watch?v=-gwhqmPqRl4&list=PLZ7ikzmc6zlOYgTu7P4nfjYkv3mkikyBa&index=13 •⁠ ⁠Robin Hanson on TOE: https://www.youtube.com/watch?v=LEomfUU4PDs •⁠ Tyler Goldstein (YouTube): http://www.youtube.com/@theoryofeveryone GO TO THIS MAN'S YOUTUBE CHANNEL. HE HELPED WITH THE CAMERA WORK IMPROMPTU AND ALSO HAS A FANTASTIC CHANNEL ANALYZING THEORIES. THANK YOU, TYLER! •⁠ ⁠Joscha Bach on TOE: https://www.youtube.com/watch?v=3MNBxfrmfmI •⁠ ⁠Manolis Kellis on TOE: https://www.youtube.com/watch?v=g56lxZwnaqg •⁠ ⁠Geoffrey Hinton on TOE: https://www.youtube.com/watch?v=b_DUft-BdIE Timestamps: 00:00 Introduction 4:43 A New Approach to Healthcare 5:33 AI in Medical Imaging 7:40 Cognitive Models 11:09 Education in Medicine 23:02 Exploring the Boundaries of AI 32:04 The Future of AI in Medicine 37:20 Swarming Agents 41:49 The Ethics of AI in Healthcare 45:17 AI into Clinical Practice 55:58 Preparing for an AI-Driven Future 1:15:03 The Human Element in Medicine 1:17:19 Emotional Intelligence in AI 1:20:11 Unified Theory in Medicine 1:21:31 Conclusion Support TOE on Patreon: https://patreon.com/curtjaimungal Twitter: https://twitter.com/TOEwithCurt Discord Invite: https://discord.com/invite/kBcnfNVwqs #science Learn more about your ad choices. Visit megaphone.fm/adchoices

I'm back, baby. I've been away traveling for podcasts and am excited to bring you new ones with Michael Levin, William Hahn, Robin Hanson, and Emily Riehl, coming up shortly. They're already recorded. I've been recovering from a terrible flu but pushed through it to bring you today's episode with Urs Schreiber. This one is quite mind-blowing. It's quite hairy mathematics, something called higher category theory, and how using this math (which examines the structure of structure) allows one manner of finding "something" from "nothing." Here, "nothing" means the empty set, and "something" is defined as fermions and even 11D supergravity. It's the first time this material has been presented in this manner. Enjoy. NOTE: Link to technical details are here from Urs Schreiber: https://ncatlab.org/schreiber/show/Peri+Pantheorias As a listener of TOE you can get a special 20% off discount to The Economist and all it has to offer! Visit https://www.economist.com/toe Join My New Substack (Personal Writings): https://curtjaimungal.substack.com Listen on Spotify: https://tinyurl.com/SpotifyTOE Become a YouTube Member (Early Access Videos): https://www.youtube.com/channel/UCdWIQh9DGG6uhJk8eyIFl1w/join Links Mentioned: - nLab website: https://ncatlab.org/nlab/show/HomePage - Paper on category theory: https://people.math.osu.edu/cogdell.1/6112-Eilenberg&MacLane-www.pdf - “Higher Topos Theory for Physics” (Urs's talk): https://www.youtube.com/watch?v=GD20W6vxMI4 - “Higher Topos Theory for Physics” (Urs's paper): https://arxiv.org/pdf/2311.11026 - Stephen Wolfram on TOE: https://www.youtube.com/watch?v=0YRlQQw0d-4 - Feynman's thesis: https://faculty.washington.edu/seattle/physics541/2012-path-integrals/thesis.pdf - Differential cohomology in a cohesive ∞-topos (Urs's paper): https://arxiv.org/pdf/1310.7930 - M-Theory from the Superpoint (paper): https://arxiv.org/pdf/1702.01774 - Character Map in Non-Abelian Cohomology, The: Twisted, Differential, and Generalized (textbook): https://amzn.to/4bFuz7H - TOE's String Theory Iceberg: https://www.youtube.com/watch?v=X4PdPnQuwjY Timestamps: 00:00 Introduction 01:27 The Creation of nLab 04:36 Philosophy Meets Physics 07:55 The Role of Mathematical Language 09:32 Emergence from Nothing 16:25 Towards a Theory of Everything 22:21 The Problem with Modern Physics 25:31 Diving into Category Theory 35:30 Understanding Adjunctions 41:46 The Significance of Duality 52:54 Exploring Toposes 1:14:20 The UNEDA Lemma and Generalized Spaces 1:16:37 Charts in Physics 1:20:55 Introduction to Infinitesimal Disks 1:23:56 The Emergence of Supergeometry 1:27:33 Transitioning to Gauge Theories 1:28:11 Exploring Singularities in Physics 1:32:50 The Role of Superformal Spaces 1:36:44 Functors and Their Implications 1:40:51 From Nothing to Emergent Structures 1:43:04 Hegel's Influence on Modern Physics 1:54:07 Discovering Higher-Dimensional Structures 1:56:30 The Path to 11-Dimensional Supergravity 1:57:21 Universal Central Extensions 2:03:21 The Journey to M-Theory 2:11:19 Globalizing the Structure of Supergravity 2:15:36 Understanding Global Charges in Physics 2:23:31 Dirac's Insights into Gauge Potentials 2:30:21 The Quest for Non-Perturbative Physics 2:39:04 Conclusion Support TOE on Patreon: https://patreon.com/curtjaimungal Twitter: https://twitter.com/TOEwithCurt Discord Invite: https://discord.com/invite/kBcnfNVwqs #science #theoreticalphysics Learn more about your ad choices. Visit megaphone.fm/adchoices

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-qaQuestions include: What, exactly, is an "AI agent"? "Agentic"? It seems like nobody knows what those words actually mean today. - Can you tell us about the future of media/information consumption? Will we become a society of "AI summaries" as our main form of information gathering? - Before AI summaries, there were encyclopedias and textbooks and CliffsNotes and such, and while they were useful and convenient, they never became de facto. - When will we get the first AI/robot news reporter? I see these being useful in cases of dangerous live broadcasting like hurricanes, to keep people up to date. - How far are we from LLMs generating a Stephen Wolfram–style long-form post, with similar elucidations, based on a short prompt of the key insight or topic? - When you say the teaching is delegated to the machine, are you saying that the machine is telling the student what to think about instead of just answering questions? - Can a sentient AI "understand" how humans learn? If we would delegate to them the teaching of human kids, would that be compatible with a biological point of view? - Have you ever considered entering the robotics space? A Wolfram Robotics, so to speak? - But if people delegate all calculations to the machines, then might it not happen that the machine actually learns to ask better questions than the humans can, since the machines have the experience built from the calculations and the humans don't? - What will AI not be able to do? Do you believe that something like that exists? - Tiny humans care about those questions about clouds and trees. - Robotic trade shows sound interesting. The company Boston Dynamics shows a lot of progress in the humanoid department. - Anything to say about the future of pi? (Happy Pi Day!) - ​​Do you expect LLM development to hit significant diminishing returns within the next 2–3 years? - Automated theorem proving is so interesting. I'm trying to figure out how to make a theorem prover that demonstrably collapses a/the wavefunction. Like Stephen said; quantum LLMs.

Interview with Stephen Wolfram OpenAI now serves 400M users every week Nvidia's Profit Jumps 80 Percent as Company Rides Tech's A.I. Boom Amazon announces AI-powered Alexa Plus Artists release silent album in protest against AI using their work AI 'inspo' is everywhere. It's driving your hair stylist crazy. Nvidia launches Signs, a new AI platform to teach American Sign Language and create a validated dataset for sign language learners and ASL app developers Here's How Four Major Newsrooms Are Using AI Google sued by Chegg over AI Overviews hurting traffic and revenue Perplexity wants to reinvent the web browser with AI—but there's fierce competition Perplexity releases a censorship-free variant of Deepseek R1 To Identify Suspect in Idaho Killings, F.B.I. Used Restricted Consumer DNA Data Director of National Intelligence Tulsi Gabbard suggests UK broke agreement in secretly asking Apple to build iCloud backdoor Researchers accuse North Korea of $1.4 billion Bybit crypto heist Y Combinator deletes posts after a startup's "AI for sweatshops" demo goes viral Grok 3's "sexy mode" Grok 3 appears to have briefly censored unflattering mentions of Trump and Musk When Your Last Name Is Null, Nothing Works Nebraska Man Struggles to Change Daughter's Name From 'Unakite Thirteen Hotel' Touch grass Bracket City Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Stephen Wolfram Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit promo code TWIT get.stash.com/machines canary.tools/twit - use code: TWIT expressvpn.com/twit

Interview with Stephen Wolfram OpenAI now serves 400M users every week Nvidia's Profit Jumps 80 Percent as Company Rides Tech's A.I. Boom Amazon announces AI-powered Alexa Plus Artists release silent album in protest against AI using their work AI 'inspo' is everywhere. It's driving your hair stylist crazy. Nvidia launches Signs, a new AI platform to teach American Sign Language and create a validated dataset for sign language learners and ASL app developers Here's How Four Major Newsrooms Are Using AI Google sued by Chegg over AI Overviews hurting traffic and revenue Perplexity wants to reinvent the web browser with AI—but there's fierce competition Perplexity releases a censorship-free variant of Deepseek R1 To Identify Suspect in Idaho Killings, F.B.I. Used Restricted Consumer DNA Data Director of National Intelligence Tulsi Gabbard suggests UK broke agreement in secretly asking Apple to build iCloud backdoor Researchers accuse North Korea of $1.4 billion Bybit crypto heist Y Combinator deletes posts after a startup's "AI for sweatshops" demo goes viral Grok 3's "sexy mode" Grok 3 appears to have briefly censored unflattering mentions of Trump and Musk When Your Last Name Is Null, Nothing Works Nebraska Man Struggles to Change Daughter's Name From 'Unakite Thirteen Hotel' Touch grass Bracket City Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Stephen Wolfram Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit promo code TWIT get.stash.com/machines canary.tools/twit - use code: TWIT expressvpn.com/twit