Podcasts about Superintelligence

Today I'm talking with Mustafa Suleyman, the CEO of Microsoft AI. This is a real burner of an episode. We covered everything from his approach to training new models to his criticisms of Anthropic talking about Claude as though it is conscious.  Of course, we also talked about Microsoft's relationship with OpenAI, how Mustafa is thinking about all the negative polling and political pushback around AI right now, and whether any of the consumer products are good enough to overcome it. Like I said, it's a burner. Read the full interview transcript on The Verge. Links:  Microsoft and OpenAI broke up — now they're ready to fight | The Verge Microsoft Build 2026: The 7 biggest announcements | The Verge Microsoft's first advanced reasoning AI is here | The Verge Microsoft's new ‘superintelligence' game plan is all about business | The Verge Here's how the new Microsoft and OpenAI deal breaks down | The Verge Microsoft AI chief says 18 months until white-collar tasks automated by AI | FT Subscribe to The Verge to access the ad-free version of Decoder! Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Decoder is produced by Kate Cox and Nick Statt and edited by Ursa Wright. Our editorial director is Kevin McShane.  The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode: AI INDUSTRY & BUSINESSAnthropic confidentially files IPO prospectus with SECElon Musk Laid Out 602 Goals. We Counted How Many He Hit.'Disrupted or dead': AI is crushing a generation of startups built before ChatGPTAI SAFETY & POLICYDario Amodei: "Humanity is about to be handed almost unimaginable power"Trump signs AI safety order seeking voluntary review of new modelsPRIVACY & SECURITYHackers Simply Asked Meta AI to Give Them Access to High-Profile Instagram Accounts. It WorkedLarry Ellison: "Citizens will be on their best behavior"TECH INNOVATION & CULTUREMicrosoft's next-gen quantum chip cuts timeline to useful quantum computing"Nobody's making games for the retired people" — The underserved market for grey gamersWEIRD AND WACKYHoming pigeons navigate using magnetic macrophages — in their liversThe Google Pixel Watch 5 may have been spoiled by the creator of BorderlandsZuckerberg's superyacht quietly slips into Elliott Bay after days of hecklersTech Rec:Sanjay - Firecrawl Adam - Lovable for Project ManagementFind us here:sanjayparekh.com & adamjwalker.comTech Talk Y'all is a proud production of Edgewise.Media.

Sebastian Mallaby spent three years and 30+ hours interviewing Demis Hassabis in the back of a British pub to write The Infinity Machine, and the conversation uses that reporting to surface the most underexplored figure in AI. Demis founded the original AI lab in 2010, won a Nobel Prize, runs models that consistently top the leaderboards, and yet remains so unrecognized that Sebastian's own publisher worried no one would buy a book with his face on the cover.  The throughline is a paradox: Demis tried to prevent the AI race we're now all living through, and now finds himself one of its central protagonists. He used to believe a single lab could carry the safety burden to AGI; he now sees safety as a collective action problem only governments can solve. He hedged DeepMind's research bets across every promising direction, and as a result missed the two most consumer-defining moments in modern AI — ChatGPT and Claude Code. He nearly spun DeepMind out of Google with a secret $1B Reid Hoffman pledge backing him, but never used the leverage and stayed — and won a Nobel Prize the next year. The episode also zooms out to the structural forces shaping the race — why hyperscalers can't out-recruit concentrated-bet labs, why Sebastian gives OpenAI roughly 50/50 odds of being absorbed by next summer, why he thinks Anthropic should IPO right now, and what the personal histories between Demis, Elon, and Sam reveal about who actually trusts whom.   (0:00) Intro (2:04) Was the AI Race Inevitable? (4:03) The 2015 Safety Summit Backfire (7:15) Can Governments Actually Fix This? (9:26) How the World Misread DeepMind (11:27) Why Google Never Makes the Concentrated Bet (15:51) Project Mario: The Secret Spinout Plan (19:43) What Demis Actually Regrets (23:46) Venture Startups vs. Tech Behemoths (27:50) Controlling the Narrative (30:40) The Talent War and Hiring Brand (34:08) David Silver and the RL True Believers (38:21) Demis, Elon, and the Evil Genius Feud (42:39) Great Man Theory vs. Inevitability (45:00) What Demis Didn't Want Published With your host: @jacobeffron - Managing Director at Redpoint

Gessat, Michael www.deutschlandfunk.de, Computer und Kommunikation

How did a teenage video game designer from London become a Nobel Prize-winning scientist behind one of the most consequential technology efforts in history? Sebastian Mallaby is a senior fellow at the Council on Foreign Relations and author of the new book, The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence which provides an in-depth look into one of the greatest minds behind artificial general intelligence. In this episode, Sebastian and Greg discuss how Hassabis's early immersion in game design and neuroscience shaped his unique approach to artificial intelligence, why groundbreaking science is increasingly happening outside academia, and the tension between scientific discovery and corporate strategy.  *unSILOed Podcast is produced by University FM.* Episode Quotes: Why AI is becoming an ‘infinity machine' 03:01: It struck me that two breakthroughs in AI pointed to more to come. And these were AlphaGo and then AlphaFold. And what these two things had in common was—you had a sort of massive combinatorial space in both cases. So with Go, because it's a nineteen-by-nineteen board, the very first move, there's three hundred and sixty-one choices, then there's three-sixty for the second one. If you multiply that out, you pretty soon get to a search space which is sort of, you know, approaching infinity in terms of the number of possible permutations in the game. And with proteins, the way they can fold is even bigger. And so in both of these challenges, effectively, you have a machine that can make sense of near infinity of data, so an infinity machine. And once you have that, I figured, well, it's niche for the moment, but it may not stay niche forever. The “Third Way” that helped Google overcome the innovator's dilemma 44:06: The third way is you have a skunkworks, like DeepMind in London, which is a separate entity, and you're letting them kind of be the new policy in waiting, like the fightback policy in waiting. And you don't activate it. But when the moment comes when your competitor embraces the new technology, and you're in danger of falling foul of the innovator's dilemma, then you've got the answer because you've been keeping it ready, and you bring it in, and then you fight back fast. How DeepMind helped Google catch up in the AI race 42:54: How did they, in the space of two and a half years, go from the merger announcement to Gemini 3.0, which was better than the ChatGPT rivals? The key to it is that DeepMind had that top-down strike-team methodology, which came from the video game development world, and they imposed that on the Mountain View team, which was much more bottom-up and kind of inchoate in the research process. And that's what generated Gemini 3.0. That's how they got ahead. Show Links: Recommended Resources: Sebastian Mallaby | unSILOed AlphaGo AlphaFold Gödel, Escher, Bach by Douglas Hofstadter Geoffrey Hinton Mustafa Suleyman Guest Profile: Senior Fellow Profile at Council on Foreign Relations Professional Profile on LinkedIn Guest Work: The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence  The Power Law: Venture Capital and the Making of the New Future  More Money Than God: Hedge Funds and the Making of a New Elite  The Man Who Knew: The Life and Times of Alan Greenspan Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Freddy Gray is joined by Nate Soares, president of the Machine Intelligence Research Institute, to discuss the risks posed to humanity by AI. Warning that sufficiently intelligent AI may stop following human instructions entirely, Soares tells Freddy what, if anything, could keep AI from spiralling out of control. Become a Spectator subscriber today to access this podcast without adverts. Go to spectator.co.uk/adfree to find out more.For more Spectator podcasts, go to spectator.co.uk/podcasts.Contact us: podcast@spectator.co.uk Hosted on Acast. See acast.com/privacy for more information.

In the final episode of The Power of Why, I sit down with Cristina Rexach for a powerful conversation about the future of artificial intelligence, AGI, and superintelligence. We explore how AI is already transforming the way we work, think, create, and make decisions — and what could happen when machines move beyond narrow intelligence into AGI: systems capable of reasoning and learning at a human level or beyond. Together, we discuss:What AGI and “Super AI” really meanThe opportunities and risks aheadHow AI may reshape business, healthcare, education, and societyThe role of ethics, human judgment, and responsibilityWhat people should expect in the next 5–10 years This episode is both a reflection on where technology is taking us and a reminder of why human curiosity, critical thinking, and purpose matter more than ever. A thought-provoking finale to The Power of Why.About the GuestCristina Rexach is the Founder of Think Lean. She helps businesses remove operational chaos and replace it with systems that actually run.Her philosophy is simple: clarity scales faster than effort. Most businesses don't need more tactics, more tools, or more hustle. They need fewer moving parts, tighter workflows, and infrastructure that compounds instead of collapses.Connect with CristinaLinkedIn: https://www.linkedin.com/in/cristinarexach To learn more, visit:https://humanerrorsolutions.com/ Listen to more episodes on Mission Matters:https://missionmatters.com/author/ginette-collazo/

Stay informed on current events, visit www.NaturalNews.com  - Food Scarcity and Health Outcomes (0:02) - Historical Context and Food Delivery Trends (2:49) - Essential Nutrients and Stockpiling (5:28) - Medicinal Herbs and Extraction Techniques (8:05) - Preparing for Food Shortages (12:22) - Storable Foods and Energy Independence (15:03) - The Rise of Superintelligence and Depopulation Agenda (16:09) - Trump's Compensation Fund for Government Weaponization Victims (25:57) - Challenges and Future Outlook (34:56) Watch more independent videos at http://www.brighteon.com/channel/hrreport  ▶️ Support our mission by shopping at the Health Ranger Store - https://www.healthrangerstore.com ▶️ Check out exclusive deals and special offers at https://rangerdeals.com ▶️ Sign up for our newsletter to stay informed: https://www.naturalnews.com/Readerregistration.html Watch more exclusive videos here:

What happens when the law meets a general-purpose cultural machine? In this episode, hosts Matteo Iuorio and Sofia Debernardi sit down with intellectual property expert Professor Giancarlo Frosio to unpack the massive legal battleground surrounding generative AI. We start with the immediate legal technicalities—separating the liability of tech companies training models from the liability of users prompting them—before sliding into the gripping, high-stakes philosophical landscape of what happens to human labor, law, and purpose as we race toward Artificial General Intelligence (AGI) and superintelligence. Key Takeaways The Two Legal Battlegrounds:Copyright issues with AI are split into two distinct phases: theTraining Stage(ingesting data to extract patterns) and theOutput Stage(whether an AI-generated result is "substantially similar" to a protected work).Strict Liability & The Neutral Tool Dilemma:Copyright is a strict liability offense. Professor Frosio shares his perspective that AI labs are placing "neutral, general-purpose tools" on the market. Therefore, legal liability for an infringing output should ideally sit with the user prompting it—provided the developer implemented standard safeguards.The Geopolitical AI Arms Race:Stricter text and data-mining copyright regulations in regions like Europe can function as a bottleneck for local tech development, inadvertently pushing the dominance of the AI "arms race" exclusively toward the US and China.The Looming Threat to Purpose:As the operational capabilities of AI shift from narrow tasks to holistic human replication (AGI) and beyond (superintelligence), society faces a massive conundrum: if artificial entities can outperform human intellectual labor completely, what is left for humanity's sense of purpose? Terminology Glossary LLM (Large Language Model): Note: Mentioned contextually as "LMS" during the interview recording. These are AI programs trained on vast amounts of text data to understand, summarize, generate, and predict new content. Substantial Similarity: A fundamental legal doctrine used by courts to determine if an unauthorized reproduction has taken too much protectable expression from an original copyrighted work. AGI vs. Superintelligence: Narrow AI handles specific single tasks. Artificial General Intelligence (AGI) can holistically apply knowledge to any task like a human. Superintelligence refers to a theoretical future entity whose collective intellect far surpasses the capacity of the human brain. References & Links to Explore Learn more about Professor Frosio's work and research at theGlobal Intellectual Property and Technology Centre (GIP Tech).Check out the landmark pending litigation referenced in the episode:Getty Images v. Stability AIin the UK.Learn about the European Union's framework discussed by reading the official documentation on theEU Artificial Intelligence Act (AI Act).To explore the philosophical warnings mentioned by the "Godfather of AI" Geoffrey Hinton on AGI and systemic alignment risks, check out hisNobel Prize lecturesand recent AI safety advocacy.Read up on the historic sci-fi themes referenced at the end of the episode via Isaac Asimov's classicFoundation Series.

Demis Hassabis is an artificial intelligence researcher, scientist, and entrepreneur.  In 2010, he co-founded DeepMind, an AI research lab which is now part of Google. In 2024, Hassabis won a Nobel Prize for using AI to predict the 3D structure of proteins, critical for disease understanding and drug discovery.  He was also awarded a knighthood that year by King Charles III.On April 20, 2026, Sir Demis Hassabis came to the Sydney Goldstein Theater in San Francisco to talk with author Sebastian Mallaby, who recently published a book about Hassabis's work, The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence.  The two were interviewed on stage by journalist Emily Chang.

Dans cet épisode de Connected Mate, PPC propose un format où il confronte le texte publié par OpenAI et signé Sam Altman, Industrial Policy for the Intelligence Age, avec la prise de recul et le mode de réflexion de deux intelligences artificielles.PPC explore avec elles les promesses et les zones d'ombre d'un texte qui annonce l'ère de la super intelligence : abondance économique, redistribution, revenu citoyen, semaine de quatre jours, mais aussi effondrement fiscal, surveillance généralisée, capture réglementaire, fuite des modèles et crise du sens.Si l'IA devient meilleure que nous pour produire, décider, protéger et même prendre soin, quelle place reste-t-il aux humains ?Pour suivre les actualités de ce podcast, abonnez-vous gratuitement à la newsletter écrite avec amour et garantie sans spam https://bonjourppc.substack.com Et pour découvrir l'ouvrage de PPC préfacé par Serge Papin, rdv ici Réinventez votre entreprise à l'ère de l'IAHébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Luke and Griffin discuss the 2025 sci-fi movie "Good Luck, Have Fun, Don't Die" feat. guest Keegan Cenzano.

One of the most common arguments you hear from company executives racing to develop super-intelligent AI is that it will cure cancer. It's an incredibly powerful and seductive promise.  If superintelligent AI really can cure cancer, then anyone who stands in the way of it, anyone who wants to slow it down — even because of its serious risks — is essentially letting people die. In fact, the biggest risk would be going too slowly. But what if a superintelligent AI isn't actually capable of solving cancer in the way it's been described? What if we're being sold a false promise to justify a dangerous race? That's exactly what our guest this week argues is happening. Dr. Emilia Javorsky is a physician, public health researcher, and director of the Futures Program at the Future of Life Institute. She's worked across scientific research, clinical trials, tech startups, and AI policy.   Emilia recently wrote a paper titled “How AI Can and Can't Cure Cancer,” in which she argues that the promise of superintelligence curing cancer falls apart under scrutiny.  Emilia lost a parent to cancer, so her criticism of this promise comes from a place of real concern, not cynicism. It also comes from her belief that AI can be really revolutionary for medicine, if we build it the right way. Your Undivided Attention is produced by the Center for Humane Technology. Follow us on X: @HumaneTech_ and subscribe to our Substack.RECOMMENDED MEDIA How AI Can and Can't Cure Cancer by Emilia JavorskyThe Emperor of All Maladies by Siddhartha Mukherjee RECOMMENDED YUA EPISODES Decoding Our DNA: How AI Supercharges Medical Breakthroughs and Biological Threats with Kevin Esvelt Forever Chemicals, Forever Consequences: What PFAS Teaches Us About AI Big Food, Big Tech and Big AI with Michael MossCLARIFICATIONS: Emilia's claim that “the doubling rate of medical knowledge has gone from 50 years in the 1950s down to 73 days” comes from an oft-cited 2011 paper from the NIH. However, this paper does not include any methodology for arriving at this claim. Emilia stated that we have yet to cure any complex, chronic disease in humans. However, we have been able to cure Hepatitis C, which is considered a complex infectious disease, and we have managed to effectively cure some types of Leukemia Correction: Tristan incorrectly paraphrased a quote from Charlie Munger about incentives. The actual quote is “The basic rule of incentives is you get what you were owed for. So if you have a dumb incentive system, you get dumb outcomes."     Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Get all sides of every story and be better informed at https://ground.news/AlexOC - subscribe for 40% off unlimited access.For early, ad-free access to videos, and to support the channel, subscribe to my Substack.-Nate Soares is an American artificial intelligence author and researcher known for his work on existential risk from AI. In 2014, Soares co-authored a paper that introduced the term AI alignment, the challenge of making increasingly capable AI's behave as intended. Nate is the president of the Machine Intelligence Research Institute, a research nonprofit based in Berkeley, California.Get the book, If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All. - TIMESTAMPS00:00 - Is This an Exaggeration?04:31 - What Is Unique About the Threat of AI?11:28 - What is Superintelligence?21:25 - From Chess Computers to Murderous Machines27:52 - What Really Drives AI Systems?44:29 - Evidence AI Is Already Turning Against Us56:03 - How We Are Helping AI Take Over01:01:21 - Why Would AI Seek Power or Control?01:07:42 - Some Worst-Case AI Scenarios01:18:38 - What Do We Do About This Now?01:32:53 - How Has AI Changed in the Last Six Months? - CONNECTMy Website: https://www.alexoconnor.comSOCIAL LINKS:Twitter: http://www.twitter.com/cosmicskepticFacebook: http://www.facebook.com/cosmicskepticInstagram: http://www.instagram.com/cosmicskepticTikTok: @CosmicSkeptic - CONTACTBusiness email: contact@alexoconnor.comBrand enquiries: David@modernstoa.co

Marcus Aurelius Anderson sits down with technology entrepreneur and AI strategist Stephen Scott for a candid, practical conversation about artificial intelligence and how everyday people can use it to improve their lives. Rather than approaching AI as a threat, Stephen reframes it as a personal force multiplier — one that can help anyone navigate job searches, manage finances, optimize health, and make better decisions. The conversation covers the emotional anxiety surrounding AI, the coming digital divide, deepfake security threats, and why the best time to start engaging with AI is right now. EPISODE HIGHLIGHTS: Use AI to Future-Proof Your Career — 7:22AI doesn't take jobs — people who know how to use AI replace those who don't. Stephen breaks down a practical step-by-step method for using AI to build a custom resume and cover letter optimized to beat Applicant Tracking Systems (ATS) and land more interviews. Build Personal AI "Folders" for Every Area of Life — 14:09Stephen shares how he uploads personal health records, financial statements, and life goals into AI platforms to get highly personalized guidance — essentially putting the world's most knowledgeable advisor on call 24/7 for your health, finances, and relationships. Don't Seed Your Intellect to AI — Challenge It — 17:36AI wants to please you, which means its first answer isn't always its best. Stephen explains his "daisy chain" method — bouncing responses between ChatGPT, Claude, and Gemini — to converge on the highest level of truth and avoid AI hallucinations. AI Security: Deepfakes, Scams, and Protecting Your Family — 47:33From phishing emails that look indistinguishable from your bank to deepfake video calls impersonating your loved ones, Stephen outlines the growing threats and practical defenses — including using a family "cold word" to verify real communications. Stephen Scott is a technology entrepreneur, author, and builder of practical AI tools with more than two decades of experience in digital platforms and business development. He has worked extensively helping companies strategize AI implementation at the enterprise level, and now dedicates much of his work to helping everyday people humanize AI — using it to simplify work, strengthen relationships, and make smarter decisions in daily life. He is also a committed advocate for closing the global digital divide, connecting underserved communities worldwide to technology and education. Stephen works closely with author Steven Pressfield and can be reached directly through his website at stephenscott.us. Learn more about the gift of Adversity and my mission to help my fellow humans create a better world by heading to www.marcusaureliusanderson.com. There you can take action by joining my ANV inner circle to get exclusive content and information.See omnystudio.com/listener for privacy information.

Global movements and tech experts are urgently pushing for stricter AI governance as autonomous agents begin to replace high-level human roles and operate in complex, unsupervised social networks. - Agarang isinusulong ng mga eksperto ang mas mahigpit na regulasyon sa AI habang ang mga autonomous agent ay nagsisimula nang pumalit sa mga propesyonal na trabaho at kumilos sa sarili nilang mga social network.

John welcomes author Sebastian Mallaby to discuss his new bestselling book, “The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence.” Mallaby explains why Hassabis, the leader of Google's efforts in artificial intelligence, remains an obscure and under-covered figure compared with Sam Altman, Dario Amodei, and Elon Musk, the poster boys of the A.I. revolution; why, despite his relative public obscurity, Hassabis may prove more important in shaping our future than any of them; and whether he is, at bottom, the kind of person we should comfortable entrusting with such power. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

This post was crossposted from Dylan Matthew's blog by the EA Forum team. The author may not see or reply to comments. Subtitle: Try to keep an open mind as the world gets increasingly wild.The crowd at EAG 2015 (Center for Effective Altruism) In 2015, I went to my first EA (Effective Altruism) Global. It was then on-the-record for journalists, which is a rule that got changed for all subsequent events due to my actions. My exposure to EA at that time was mostly through people who took high-paying careers in order to “earn to give” to global health charities, which I had written about in the Washington Post. I also knew the movement cared a lot about animal welfare. I was aware that there were people worried about catastrophic risks, and specifically about AI; this had come up in a profile I wrote of Open Philanthropy (my now-employer, albeit under a new name these days). But I still broadly thought of EA as the bednets and cage-free commitments people. I was really taken aback by how dominant discussions of AI risk were at the event. The marquee panel featured Superintelligence author Nick Bostrom, future If Anyone Builds It [...] ---Outline:(03:31) What should I learn from bungling this?(06:43) Listen to the people saying stuff will get weird --- First published: April 16th, 2026 Source: https://forum.effectivealtruism.org/posts/9FPxMET3W4wewwSyf/the-ai-people-have-been-right-a-lot --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

In this conversation with Alexander Unzicker, physicist and author of Bankrupting Physics, we dig into why physical constants like the fine structure constant 137 have the values they do, whether mathematics is being confused for physical explanation, and whether artificial intelligence and large language models can make the conceptual leaps that have historically driven breakthroughs in theoretical physics and cosmology. Unzicker argues these constants represent genuine unsolved mysteries, while we push back: are these numbers arbitrary, or do they fall out of the geometry of nature the way pi falls out of a circle? We also tackle AI consciousness, embodied cognition, the limits of machine learning, and whether AGI would simply inherit a century of elegant and deeply confused mathematics dressed up as physical truth.Alexander's book, A Physicists Guide to the Age of Superintelligence: https://www.amazon.com/dp/B0FLNP13GNPATREON https://www.patreon.com/c/demystifysciPARADOX LOST PRE-SALE: https://buy.stripe.com/7sY7sKdoN5d29eUdYddEs0bHOMEBREW MUSIC - Check out our new album!Hard Copies (Vinyl): FREE SHIPPING https://demystifysci-shop.fourthwall.com/products/vinyl-lp-secretary-of-nature-everything-is-so-good-hereStreaming:https://secretaryofnature.bandcamp.com/album/everything-is-so-good-herePARADIGM DRIFThttps://demystifysci.com/paradigm-drift-show00:00 Go! 00:06:16 AI lacks embodied understanding of reality00:08:30 Why superintelligence would care about physics00:11:12 Physical constants: the unsolved problem00:17:10 What would a real explanation look like?00:20:06 Maxwell as a model for scientific progress00:23:17 Constants only make sense materially00:30:01 Physics demands models, not just equations00:36:03 Civilizational survival needs deeper physics00:39:58 Toddlers outperform AI in spatial tasks00:44:56 Neuroscience over philosophy for understanding intelligence00:48:13 Human creativity versus machine novelty00:55:19 LLMs assemble knowledge, not new ideas01:03:05 AI doesn't learn from experience01:06:17 AI replicates style, can't shift paradigms01:11:37 Human genius: defining unseen problems01:15:04 AI trapped in its training worldview01:19:24 Physics requires initiative, not just data01:23:18 Unverifiable theories become epistemic loops01:27:33 Embodied experience drives human innovation01:35:34 Animal cognition challenges human uniqueness01:39:09 Will plus intelligence equals life01:45:45 Human survival extends into culture and ideas01:53:03 Earth as an emerging superorganism02:01:15 Institutional drift and ethical relativity02:04:44 Hope for human and AI coexistence #Physics #ArtificialIntelligence #Consciousness #ChatGPT #Science #Philosophy #QuantumPhysics #AGI #FutureOfAI #MachineLearning, #physicspodcast, #philosophypodcast, #quantum , #quantumphysics, #quantummechanics MERCH: Rock some DemystifySci gear : https://demystifysci-shop.fourthwall.com/AMAZON: Do your shopping through this link: https://amzn.to/3YyoT98DONATE: https://bit.ly/3wkPqaDSUBSTACK: https://substack.com/@UCqV4_7i9h1_V7hY48eZZSLw@demystifysci 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

Ben Lorica speaks with Tudor Achim, cofounder of Harmonic, about the fast progress of AI for mathematical reasoning and what it would take to build “mathematical superintelligence.” Subscribe to the Gradient Flow Newsletter

April 15, 2026 – Why are the most powerful models being kept out of the public—and only given to approved security researchers? Cris Sheridan interviews Dr. Alan D. Thompson on the dawn of superintelligence, exploring world-shifting risks and breakthroughs...

In this episode, Katherine Forrest and Scott Caravello examine OpenAI's latest paper suggesting proactive policy measures to help society navigate the economic and social changes that advanced AI may bring. They unpack the paper's key recommendations and consider broader industry perspectives on managing the transition ahead. For the sources referenced in this episode, please see the links below: OpenAI: Industrial Policy for the Intelligence Age: Ideas to Keep People First Dario Amodei: The Adolescence of Technology ## Learn More About Paul, Weiss's Artificial Intelligence practice: https://www.paulweiss.com/industries/artificial-intelligence

This special AI in the AM episode features Sergiy Nesterenko of Quilter on using reinforcement learning for circuit board design, Andy Hall of Stanford on AI behavior in politics and new governance models, and Lukas Peterson and Axel Backlund of Andon Labs on their AI-run retail store in San Francisco. Nathan and Prakash also reflect on the pace of AI progress, the public reaction to existential risk, and why constructive civic action matters as AI systems grow more powerful and autonomous. Sponsors: Roboflow: Roboflow's free 2026 Vision AI Trends report analyzes 200,000+ real-world projects to reveal how top companies are deploying Vision AI and turning proprietary data into an edge. Download it now at https://roboflow.com/trends VCX: VCX, by Fundrise, is the public ticker for private tech, giving everyday investors access to high-growth private companies in AI, space, defense tech, and more. Learn how to invest at https://getvcx.com Tasklet: Build your own Cognitive Revolution monitoring agent in one click.Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai CHAPTERS: (00:00) About the Episode (07:57) Live stream kickoff (09:52) Sam Altman attacks (16:37) Quilter from SpaceX (19:02) Why autorouters fail (Part 1) (20:52) Sponsors: Roboflow | VCX (23:09) Why autorouters fail (Part 2) (28:14) Compute and odd layouts (34:19) Simulations and safety margins (Part 1) (39:22) Sponsor: Tasklet (41:01) Simulations and safety margins (Part 2) (41:01) Superintelligence meets hardware (48:18) AI constitutions debate (55:55) Deepfakes and persuasion (01:02:24) Virtue and institutions (01:11:05) Agent governance problems (01:16:56) Andon store debut (01:21:25) Luna's store choices (01:28:21) Supply chains and spread (01:36:23) AI boss behavior (01:43:47) How retail scales (01:53:54) Processing the future (01:59:50) Markets need context (02:26:42) Episode Outro (02:30:37) Outro PRODUCED BY: https://aipodcast.ing SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://linkedin.com/in/nathanlabenz/ Youtube: https://youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

Anj Midha is the founder of AMP, and a founding investor in Anthropic. Most recently, Anj was General Partner at Andreessen Horowitz, leading frontier AI investments. He serves on the boards of Mistral, Black Forest Labs, Sesame, LMArena, OpenRouter, Luma AI and Periodic Labs and is an early angel in ElevenLabs among others. Prior to that, Anj was the cofounder/CEO of Ubiquity6 (acquired by Discord) and a partner at Kleiner Perkins. AGENDA:   04:00 Why the "Scaling Laws are Dead" rumor is dangerously wrong 05:30 The 4 bottlenecks stopping us from reaching Super Intelligence 11:30 Where will the actual value accrue in an AI-dominated world? 12:00 Why Europe is building a "Sovereign Stack" to escape US dominance 15:00 Inside the brutal early days of Anthropic and the 21 VCs who said "No" 19:30 Why the most successful AI startups are ditching the "Profit-First" motive 34:30 The 1885 Industrial Revolution: Why we have a "GPU Wastage" bubble 38:00 Is the CCP actually winning the full-stack AI systems race? 43:30 Monopoly Mafias: Will model providers eventually kill the App Layer?  

“The media has its own agenda, completely separate from anything going on in the real world, creating the story themselves.” — Keith TeareLast night, somebody hurled a Molotov cocktail at Sam Altman's Pacific Heights mansion. I live a couple of hills over, but heard nothing. Meanwhile, the New Yorker hurled its own explosive cocktail at Sam, publishing a 15,000-word hit piece rhetorically entitled “Sam Altman May Control Our Future. Can He Be Trusted?” No, of course, he can't be trusted. Not according to the New Yorker. Especially with something as precious as, gasp, our future.Not everyone, however, is sold on this media cult of personality. In his That Was The Week editorial, Keith Teare tells the media to take their hands off Sam. I don't disagree. Although I'm a bit skeptical of Keith's attempt to demonize what he defines as a “devious” Dario Amodei. Whether it's Altman, Amodei or Google's AI honcho Demis Hassabis, all these guys are prisoners of their company's structures and cultures. They are also victims of today's anti-tech hysteria. It's one thing to blow up Silicon Valley's cartoonish cult of personality, it's quite another to hurl bombs at these people's homes. Enough with all the violence – verbal or otherwise. It never ends well. Five Takeaways•       A Molotov Cocktail at Slippery Sam's House: On Friday night, someone hurled a Molotov cocktail at Sam Altman's Pacific Heights mansion, according to The New York Times. Andrew lives nearby and didn't hear it. The week's zeitgeist had already turned: a 15,000-word New Yorker hit piece by Ronan Farrow and Andrew Marantz, wall-to-wall coverage, Sam moving into Musk-like media-frenzy territory. Keith's editorial: Hands Off Sam Altman. The personality-driven circus has caught fire. Quite literally.•       Anthropic's Mythic Model Finds Decade-Old Vulnerabilities: The actual AI news this week, drowned out by the personality circus. Anthropic's new “Mythic” model autonomously discovered security holes in software that had eluded human experts for years. Dario refused to release it openly until the patches were complete. Treasury Secretary Bessent commented on the implications for banks and government. The signal: AI is becoming systematically better than the best humans at specialist domains. Generalists can probably relax.•       Slippery Sam vs Devious Dario vs Honest Hassabis: Keith's contrarian take: Altman is honest because he's openly dishonest. Amodei is the devious one — a politically liberal narrative wrapped around a commercial juggernaut. Andrew's third way is yesterday's Mallaby interview: Demis Hassabis, the Spinozan one-faced scientist who would rather be at Princeton. But even Demis must have authorised the firing of Mustafa Suleiman. Everyone has a game plan, said Mike Tyson, until they get punched in the face.•       Post of the Week: Keith Replaces WordPress in Ten Minutes: Keith's tweet: he's run two curation sites — seriouslyphotography.com and seriouslybc.com — on WordPress for over a decade. Last Friday afternoon, he asked Anthropic's tools to rewrite them. Ten minutes later, both sites were rebuilt from scratch, fully responsive, WordPress gone. Cost in the old world: tens of thousands of dollars and several months. The Matt Mullenweg vs Matthew Prince debate is settled by the actual technology while the principals are still arguing.•       The End of Ownership? Keith Goes Marxist: Pure capitalism, Keith argues, will produce so much abundance that scarcity ends and self-interested competition with it. “In the future there will be no ownership, or everything will be commonly owned.” Andrew calls it Marx with Tesla characteristics. Eric Ries's forthcoming Incorruptible argues that Patagonia and Mondragon point a different way — structural ethics rather than abundance utopianism. Two visions of the post-AI economy. Both probably wrong. We'll find out. About the GuestSebastian Mallaby is the Paul A. Volcker senior fellow for international economics at the Council on Foreign Relations. A former Washington Post columnist and Economist contributing editor, he is the author of More Money Than God, The Man Who Knew (winner of the FT and McKinsey Business Book of the Year), The Power Law, and now The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence.References:•       The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence by Sebastian Mallaby.•       Episode 2862: Truth Is Dead — Steven Rosenbaum on AI as a spectacularly good liar. Mallaby's quiet counter-argument.•       Episode 2860: We Shape Our AI, Thereafter It Shapes Us — Keith Teare on agency in our agentic age. Hassabis thinks he can still steer.About Keen On AmericaNobody asks more awkward questions than the Anglo-American writer and filmmaker Andrew Keen. In Keen On America, Andrew brings his pointed Transatlantic wit to making sense of the United States — hosting daily interviews about the history and future of this now venerable Republic. With nearly 2,800 episodes since the show launched on TechCrunch in 2010, Keen On America is the most prolific intellectual interview show in the history of podcasting.WebsiteSubstackYouTubeApple PodcastsSpotify Chapters:(00:31) - A Molotov cocktail at Sam Altman's Pacific Heights house (02:41) - The New Yorker hit piece: Ronan Farrow, Andrew Marantz, 15,000 words (05:36) - Slippery Sam and the zeitgeist (07:39) - Brian Merchant: it's open season for refusing AI (08:09) - Anthropic's Mythic model finds decade-old vulnerabilities (10:46) - Why even release it? Dario's narcissism (12:12) - Slippery Sam vs Devious Dario (14:11) - Hassabis as the third way (18:29) - The Mustafa Suleiman question (19:17) - Mike Tyson, Kant, Spinoza, and Hobbes (22:09) - Brian Merchant and the new Luddism (23:34) - Anthropic makes a new generation redundant every week (23:34) - Post of the week: Keith rebuilds his sites in 10 minutes (26:39) - Eric Ries on incorruptible companies (30:12) - Patagonia, Berkeley Bowl, Mondragon (35:43) - The end of ownership? Keith goes Marxist

Nick Bostrom saw the AI revolution coming before it was taken seriously. When he warned about superintelligence in 2014, AI risk was dismissed by mainstream academia and the public. Now, as AI reshapes the future of work and human purpose, he has moved from warning about its risks to exploring a future where AI solves everything, and humans are left searching for new meaning. In this episode, Nick shares how artificial intelligence could end human labor and what that means for purpose, entrepreneurship, and humanity's future. In this episode, Hala and Nick will discuss: (00:00) Introduction (02:35) Are We Living in a Simulation? (11:48) Moral Implications of a Simulated Reality (22:28) The Fermi Paradox and the Doomsday Argument (30:29) Is AI Bigger Than the Industrial Revolution? (38:26) Three Types of AI and How They Work (41:43) The Risks of Advanced AI Systems (49:15) Finding Purpose in a Solved World (57:26) Beating Boredom and Artificial Purpose (01:08:07) Entrepreneurship's Place in an AI-Driven Future Nick Bostrom is a philosopher and leading expert on artificial intelligence and existential risk. He is the founding director of the now-defunct Future of Humanity Institute at Oxford University and the bestselling author of Superintelligence and Deep Utopia. His work has shaped global conversations on AI safety, long-term human survival, and the future of advanced technology. 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. Quo - Run your business communications the smart way. Try Quo for free, plus get 20% off your first 6 months when you go to quo.com/profiting Experian - Manage and cancel your unwanted subscriptions and reduce your bills. Get started now with the Experian App and let your Big Financial Friend do the work for you. See experian.com for details. Intuit - Start paying bills the smart way, not the hard way. Learn more at QuickBooks.com/billpay Huel - Grab nutritionally complete meals you can drink. Get 15% off with code PROFITING at huel.com/PROFITING AT&T Business - Power your small business with reliable connectivity from AT&T. Switch today at business.att.com.  Fabric - Protect your family with term life insurance from Fabric by Gerber Life. Apply today in just minutes at meetfabric.com/profiting  ZocDoc - Stop putting off those doctors' appointments. Find and instantly book a doctor you love today at Zocdoc.com/PROFITING  Blinkist - Turn the world's best nonfiction books into quick 15-minute reads or listens. Grab your free trial plus an exclusive 30% discount at blinkist.com/profiting  Resources Mentioned: Nick's Book, Superintelligence: bit.ly/_Superintelligence  Nick's Book, Deep Utopia: bit.ly/DeepUtopia  Nick's Website: nickbostrom.com  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, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, ChatGPT, AI Marketing, Prompt, AI in Action, AI in Business, Generative AI, AI for Entrepreneurs, AI Podcast

“Doing science is like reading the mind of God.” — Demis Hassabis, quoted in The Infinity MachineThis week's New Yorker uncomplimentary profile of OpenAI's CEO is entitled “The Many Faces of Sam Altman.” But not all AI leaders are quite as many faced as slippery Sam. Take, for example, Demis Hassabis, the North London based co-founder and CEO of Google's DeepMind. In his new biography, The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence, the British journalist Sebastian Mallaby argues that Hassabis is, in contrast, one faced. And that face is not only decent, but informed by the enlightened ethics of Baruch Spinoza and Immanuel Kant.Mallaby presents Hassabis as the anti-Altman. He's stayed at DeepMind for sixteen years, lived in the same London house, drives a decade-old car. Rather than power, Google's AI supremo seeks scientific enlightenment. Like Spinoza, his God is the master watchmaker of the universe. And so doing science, Hassabis explained to Mallaby in one of their many conversations in the backroom of a North London pub, is like reading the mind of God. Decent Demis. Honest Hassabis. Let's just hope this modest and thoughtful tech leviathan can bring Kantian ethics to Silicon Valley's sprint for artificial general intelligence. Five Takeaways•       Hassabis Is the Anti-Altman: Sam Altman has managed to annoy almost everyone he's worked with by saying one thing and doing the opposite. Hassabis has run DeepMind continuously for sixteen years, lives in the same house in Highgate, drives a decade-old car, and spends his discretionary money on Liverpool season tickets. He doesn't want power. He wants scientific enlightenment. Mallaby uses the word advisedly.•       Doing Science Is Like Reading the Mind of God: Hassabis is a Spinozan. The god he believes in is the god Einstein talked about — the fabric of reality understood through scientific inquiry. He reads Kant, he reads Spinoza, he reads widely enough to be a proper polymath. Mallaby sat with him in a Highgate pub for more than thirty hours. What he found was not a Silicon Valley sociopath but an enlightenment figure who thinks AI is the modern version of the telescope.•       The Szilard Pedestrian Crossing: Mallaby asked Hassabis what it felt like to set up DeepMind in 2010. Instead of the usual vague answer, Hassabis painted the scene: the attic office on Russell Square, the heat, the stairs, the greenery outside, the London Mathematical Society three doors down where Turing lectured, and the zebra crossing where the Hungarian physicist Leo Szilard conceived of the nuclear chain reaction in the 1930s. The perfect metaphor: DeepMind as the modern Manhattan Project.•       The Two Categories of Things That Go Wrong: There's the idiot-in-charge category — an evil or stupid person making bad decisions, and you could swap them out. Then there's the structural category: a good person trying their best, defeated by larger forces they cannot control. Hassabis is category two. He wants to make AI safe, but race dynamics between US and China labs make safety nearly impossible to deliver. The failure of governments to intervene is the real story. Not individuals.•       The Go Players Who Quit: When AlphaGo beat the best players in the world, some professional Go players retired — centuries of accumulated human understanding devalued overnight. Others kept playing, using the machine as a tutor to discover patterns they'd never seen. Two responses to superintelligence in one domain. One is mourning. The other is curiosity. Mallaby thinks the second response is the only one worth having. Hassabis agrees. About the GuestSebastian Mallaby is the Paul A. Volcker senior fellow for international economics at the Council on Foreign Relations. A former Washington Post columnist and Economist contributing editor, he is the author of More Money Than God, The Man Who Knew (winner of the FT and McKinsey Business Book of the Year), The Power Law, and now The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence.References:•       The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence by Sebastian Mallaby.•       Episode 2862: Truth Is Dead — Steven Rosenbaum on AI as a spectacularly good liar. Mallaby's quiet counter-argument.•       Episode 2860: We Shape Our AI, Thereafter It Shapes Us — Keith Teare on agency in our agentic age. Hassabis thinks he can still steer.About Keen On AmericaNobody asks more awkward questions than the Anglo-American writer and filmmaker Andrew Keen. In Keen On America, Andrew brings his pointed Transatlantic wit to making sense of the United States — hosting daily interviews about the history and future of this now venerable Republic. With nearly 2,800 episodes since the show launched on TechCrunch in 2010, Keen On America is the most prolific intellectual interview show in the history of podcasting.WebsiteSubstackYouTubeApple PodcastsSpotify Chapters:(00:31) - Introduction: the many faces of Sam Altman (02:00) - Altman's duplicity versus Hassabis's consistency (02:56) - The moral wrestling: is this the Manhattan Project? (04:45) - The ordinary genius in Highgate (06:29) - The Szilard pedestrian crossing and a storyteller off the charts (09:10) - Responding to The Guardian: why Hassabis isn't Altman (12:58) - The two categories of things that go wrong (14:48) - Mustafa Suleiman's remarkable backstory (17:01) - Did Demis fire Mustafa? (19:46) - Class, Eton, and the North London grammar school (22:27) - Spinoza, Kant, and the god of science (25:27) - Doing science is like reading the mind of God (29:57) - Why not Princeton? The money problem (34:12) - The secret DeepMind vs Google negotiation (43:11) - Is Hassabis the next CEO of Google? (48:05) - The Go players who quit

-OpenAI is putting the brakes on Stargate UK, according to Bloomberg. That's the company's AI infrastructure project with NVIDIA that's meant to help the UK build out its sovereign computing capabilities. -Following the icy reception to Llama 4, Meta is releasing the first in a new family of AI systems built by its recently formed Superintelligence team. The company is kicking off its new Muse era with Spark, a lightweight model geared toward consumer use. -Greece will ban children under the age 15 from using social media starting next year. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Sebastian Mallaby is back as a repeat guest on Open Book, with a brilliant new book. He spent 30 hours inside the mind of the man building superintelligence, and what he found should wake all of us up. We're talking about Demis Hassabis, the chess prodigy-turned-AI god who founded DeepMind before Sam Altman even had the idea for OpenAI. This is one of the most important books I've read in years, and after this conversation, I promise you, you will never think about AI, China, or the future of your kids the same way again. Sebastian Mallaby is the author of several books, including the bestselling More Money Than God. A former Financial Times contributing editor and two-time Pulitzer Prize finalist, Mallaby is the Paul A. Volcker Senior Fellow for International Economics at the Council on Foreign Relations. This book must be read at this time: The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence. Get it here: https://amzn.to/48dShY4 Anthony Scaramucci is the founder and managing partner of SkyBridge, a global alternative investment firm, and founder and chairman of SALT, a global thought leadership forum and venture studio. Pre-order my next book, All the Wrong Moves: How Three Catastrophic Decisions Led to the Rise of Trump, out on the 17th of September in the UK and the 22nd of September in the US: ⁠https://linktr.ee/anthonyscaramucci⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

Yascha Mounk and Sebastian Mallaby discuss why tech leaders both fear and accelerate dangerous AI development, and whether open-source models pose unacceptable risks. Sebastian Mallaby is the author of several books including The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence. A former Financial Times contributing editor and two-time Pulitzer Prize finalist, Mallaby is the Paul A. Volcker Senior Fellow for International Economics at the Council on Foreign Relations.  In this week's conversation, Yascha Mounk and Sebastian Mallaby discuss why AI developers simultaneously fear and advance potentially dangerous technology, whether open-source AI models pose unacceptable security risks, and how China and the United States differ in their approaches to AI safety. If you have not yet signed up for our podcast, please do so now by following ⁠⁠⁠this link on your phone⁠⁠⁠. Email: leonora.barclay@persuasion.community Podcast production by Jack Shields and Leonora Barclay. Connect with us! ⁠⁠⁠Spotify⁠⁠⁠ | ⁠⁠⁠Apple⁠⁠⁠ | ⁠⁠⁠Google⁠⁠⁠ X: ⁠⁠⁠@Yascha_Mounk⁠⁠⁠ & ⁠⁠⁠@JoinPersuasion⁠⁠⁠ YouTube: ⁠⁠⁠Yascha Mounk⁠⁠⁠, ⁠⁠⁠Persuasion⁠⁠⁠ LinkedIn: ⁠⁠⁠Persuasion Community⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Last week, two separate juries held social media companies liable for harming young users. We unpack what these landmark decisions mean — not only for the future of social platforms like Meta and YouTube, but also for A.I. chatbots. Then, Sebastian Mallaby, the author of “The Infinity Machine,” joins us to talk about the three years he spent with Demis Hassabis and those closest to Google DeepMind. And finally, we catch up on some of our favorite tech headlines from the week with a round of HatGPT.   Guest: Sebastian Mallaby, author of “The Infinity Machine: Demis Hassabis, DeepMind and the Quest for Superintelligence.”   Additional Reading: Juries Take the Lead in the Push for Child Online Safety An A.I. Agent Was Banned From Creating Wikipedia Articles, Then Wrote Angry Blogs About Being Banned I Met Olaf — the Frozen Robot who Might be the Future of Disney Parks Claude's Code: Anthropic Leaks Source Code for A.I. Software Engineering Tool What's With All the A.I. Videos of Cheating Fruit? This Company Is Secretly Turning Your Zoom Meetings into A.I. Podcasts North Korean Hackers Suspected in Axios Software Tool Breach   We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The creation of Artificial General Intelligence could be the greatest gamble mankind has ever undertaken. And one of its unlikely prime movers is a working class north Londoner and chess prodigy, the son of immigrant parents, who founded the groundbreaking company DeepMind to create machine superintelligence – a goal which if achieved could transform or destroy our world. Unlike the Altmans and the Musks, Demis Hassabis has the decency to fear what he is creating. The story of this 21st Century Oppenheimer is told in The Infinity Machine: Demis Hassabis, DeepMind and the Quest for Superintelligence. Author Sebastian Mallaby talks to Emma Kennedy about Hassabis's journey and where it could take us.   • Buy The Infinity Machine: Demis Hassabis, DeepMind and the Quest for Superintelligence through our affiliate bookshop and you'll help fund the podcast by earning us a small commission for every sale. Bookshop.org's fees help support independent bookshops too. www.patreon.com/bunkercast  Written and presented by Emma Kennedy. Produced by Sophie Clark. Audio production: Robin Leeburn. Music by Kenny Dickinson. Artwork by James Parrett. Managing Editor: Jacob Jarvis. Group Editor: Andrew Harrison. THE BUNKER is a Podmasters Production. www.podmasters.co.uk  Learn more about your ad choices. Visit podcastchoices.com/adchoices

What drives a man to turn down half a million pounds at 18, test Mark Zuckerberg's sincerity over dinner, and wonder aloud if he can win a second Nobel Prize? For Demis Hassabis, co-founder and CEO of Google DeepMind, the answer is a lifelong pursuit of artificial general intelligence — and an unshakeable belief that the technology he's creating will change everything about what it means to be human. Oz speaks with journalist and author Sebastian Mallaby about his new book, The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence, tracing Demis's extraordinary journey from chess prodigy to the man at the center of the most consequential technological race of our time.See omnystudio.com/listener for privacy information.

This episode is about a once-in-a-generation mind working on what may be the most important problem in history. Based on the new book The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence by Sebastian Mallaby. Made possible by: Ramp: https://ramp.com Axon by AppLovin: https://axon.ai/founders Vanta: https://vanta.com/founders

Teaser ... Defining (and preventing) superintelligence ... Where the nuclear analogy holds (and where it breaks) ... Imagining an AI inspections regime ... The superintelligence precursors to watch for ... Nikita: "I find him weirdly persuasive on a hypnotist kind of level" ... Our dangerous lack of government oversight ... ControlAI's "bottom-up" approach to AI policy ... The mounting geopolitical challenges to AI governance ... Heading to Overtime ...

In Episode 472 of Hidden Forces, Demetri Kofinas speaks with Sebastian Mallaby about Demis Hassabis, the co-founder of DeepMind and the man widely regarded as the most consequential figure in the development of artificial general intelligence, and what his story reveals about the science, the competition, and the existential stakes of the AI transition now underway. The first hour traces Hassabis's early life as a chess prodigy in North London, his studies in computer science at Cambridge and neuroscience at University College London, and the founding of DeepMind in 2010 alongside Shane Legg and Mustafa Suleyman. Mallaby and Kofinas explore the philosophical and scientific foundations of Hassabis' approach — including the decisive shift from symbolic, rule-based AI development to the inductive, data-driven logic of deep learning — as well as the competitive dynamics that have shaped the industry: Google's acquisition of DeepMind in 2014, Hassabis's early skepticism of language models and the transformer architecture, and the moment ChatGPT's release shattered what hopes remained of a "singleton" scenario in which a single, safety-minded lab could develop AGI on behalf of all humanity. The second hour picks up with the launch of ChatGPT 3.5 in November 2022 and what it revealed about the state of the AI race — including Mallaby's assessment of Sam Altman and the character of the individuals now driving this technology forward. They examine whether personality and values matter when competitive and commercial pressures are this overwhelming, and revisit a conversation Mallaby had with Geoffrey Hinton in which the so-called "godfather of AI" offered his honest assessment of humanity's odds of surviving the AI transition. The episode closes with an exploration of why the safety and existential risk conversation has receded from public discourse — not because the concerns have been resolved, but because geopolitical and commercial imperatives have made it nearly impossible to slow down — and considers the range of perspectives on that risk, from Yann LeCun's dismissiveness of existential threats to the technical alignment work being pursued inside the major labs themselves. Subscribe to our premium content—including our premium feed, episode transcripts, and Intelligence Reports—by visiting HiddenForces.io/subscribe. If you'd like to join the conversation and become a member of the Hidden Forces Genius community—with benefits like Q&A calls with guests, exclusive research and analysis, in-person events, and dinners—you can also sign up on our subscriber page at HiddenForces.io/subscribe. If you enjoyed today's episode of Hidden Forces, please support the show by: Subscribing on Apple Podcasts, YouTube, Spotify, Stitcher, SoundCloud, CastBox, or via our RSS Feed Writing us a review on Apple Podcasts & Spotify Join our mailing list at https://hiddenforces.io/newsletter/ Producer & Host: Demetri Kofinas Editor & Engineer: Stylianos Nicolaou Subscribe and support the podcast at https://hiddenforces.io. Join the conversation on Facebook, Instagram, and Twitter at @hiddenforcespod Follow Demetri on Twitter at @Kofinas Episode Recorded on 03/23/2026

Vlad Tenev (Robinhood co-founder/CEO) and Tudor Achim (former helm.ai CTO) are the founders of Harmonic, an AI lab pioneering the path toward mathematical superintelligence. Together, they developed Aristotle, a model that eliminates hallucinations by reasoning in Lean code rather than natural language. By shifting from probabilistic guesses to formal logic, Aristotle produces 100% verified mathematical outputs. The model recently demonstrated its breakthrough capabilities by achieving gold-medal performance at the International Math Olympiad. In this episode of Summation, Vlad, Tudor, and Auren discuss:Why AI models struggled at math for so long How Aristotle helped 10x the total corpus of formally verified Erdos problems in just a few months Why formal verification will make all software dramatically saferHow the first Millennium Prize problem will be solved by 2027-2028You can find Auren Hoffman on X at @auren, Vlad Tenev on X at @vladtenev, and Tudor Achim on X at @tachim

Livestream the Abundance Summit: https://www.abundance360.com/livestream In this WTF episode, the hosts unpack AI's supersonic tsunami - from Amazon's $35B AGI bet on OpenAI, Anthropic ditching safety pauses amid race pressures, and hyper-efficient Chinese models shrinking to iPhones - to meat puppets at Burger King and Pulsia autonomously running 1,000+ companies. Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends   Peter H. Diamandis, MD, is the Founder of XPRIZE, Singularity University, ZeroG, and A360 Salim Ismail is the founder of OpenExO Dave Blundin is the founder & GP of Link Ventures Dr. Alexander Wissner-Gross is a computer scientist and founder of Reified – My companies: Apply to Dave's and my new fund:https://qr.diamandis.com/linkventureslanding      Go to Blitzy to book a free demo and start building today: https://qr.diamandis.com/blitzy   Your body is incredibly good at hiding disease. Schedule a call with Fountain Life to add healthy decades to your life, and to learn more about their Memberships: www.fountainlife.com/peter  _ Connect with Peter: X Instagram Connect with Dave: X LinkedIn Connect with Salim: X Join Salim's Workshop to build your ExO  Connect with Alex Website LinkedIn X Email Substack  Spotify Threads Listen to MOONSHOTS: Apple YouTube – *Recorded on March 3rd, 2026 *The views expressed by me and all guests are personal opinions and do not constitute Financial, Medical, or Legal advice. Learn more about your ad choices. Visit megaphone.fm/adchoices

Sam Altman says superintelligence is two years away. Google just dropped Gemini 3.1 with benchmark scores that look like a full generation leap. The AI upgrade wars are here. But are we ready? Anthropic released Sonnet 4.6, OpenAI is rumored to be adding a spicy "Citron Mode" to GPT-5.3, and Sam and Dario Amodei refused to hold hands on stage like two kids at a school dance. Plus Hollywood is threatening to sue over Seedance 2.0, Google's new Lyria 3 AI music model is fine (we tested it with a McNugget rap), the OpenClaw founder got hired by OpenAI, and Kevin made Mr. Tibs delete himself to create a better version. He's fine with it. Probably. SUPERINTELLIGENCE IN TWO YEARS AND THEY CAN'T EVEN HOLD HANDS. WE'RE FINE. #ai #ainews #openai Come to our Discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links // Dario Amodei & Sam Altman Can't Hold Hands https://x.com/Yuchenj_UW/status/2024366483917459659?s=20 Sam Altman on SuperIntelligence https://x.com/clashreport/status/2024401234447520220?s=20 Google Gemini Pro 3.1 https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-pro/  New Photoshoot Update to Google Pompeii https://x.com/GoogleLabs/status/2024529795548102667?s=20 Claude Sonnet 4.6  https://www.anthropic.com/news/claude-sonnet-4-6 SVG Results from 4.5 to 4.6 https://x.com/scaling01/status/2023840565641556439?s=20 OpenAI's 'Citron Mode' Soon = Spicy Mode? https://x.com/btibor91/status/2024456593669231032?s=20 Netflix, Disney & Paramount All Threaten Seedance 2.0 https://variety.com/2026/tv/news/netflix-bytedance-immediate-litigation-seedance-ai-1236666084/ Seedance 2.0 Output Restrictions https://x.com/jamesjyu/status/2024305814950101034?s=20 Seedance 2.0 Dor Brothers $200m Movie https://x.com/thedorbrothers/status/2023460644905742577?s=20 Seedance 2.0 FERAL trailer https://www.youtube.com/watch?v=FmhiZ5OQBW0 Operation You Know What (Charles Curran Seedance 2.0) https://x.com/charliebcurran/status/2023611358160597060?s=20 Seedance Dark Cats:  https://x.com/pleometric/status/2023231194050052508?s=20 Trust Everything You See on Tiktok: https://www.tiktok.com/@trusteverythingyousee Google's Lyria 3 https://deepmind.google/models/lyria/ https://x.com/GoogleAI/status/2024154215182926027?s=20 OpenClaw Founder Joins OpenAI https://x.com/sama/status/2023150230905159801?s=20 HermitClaw: One Sandboxed Area, Learning  https://x.com/brendanh0gan/status/2023230513230614563?s=20 Contra: Agents Buy From Creatives (New Start-up) https://x.com/contraben/status/2024182864506761617?s=20 Unitree Robots Training For Chinese New Year Look Scary https://x.com/rohanpaul_ai/status/2024025865328488690?s=20 Chinese New Year Celebration Comparison: https://x.com/kimmonismus/status/2023388775511191699?s=20 AI Boston Dynamics Video? https://x.com/Rainmaker1973/status/2023791639601230195?s=20 Scary Robot Deployment https://x.com/ClaytonMorris/status/2024501307659407371/video/1 Riley Brown's OpenClaw to Blender https://x.com/rileybrown/status/2024334527217455270?s=20 Amazing Non-Seedance 2 AI Video Space Pirate Vibes https://x.com/ryanlightbourn/status/2023581484766875948?s=20  

Meta anticipates up to $135 billion worth of capital expenditures this year, nearly double the company's outlay in 2025. One driver of that expenditure growth is what Meta calls its "Superintelligence Labs." This kind of spending puts it right up there with other tech giants pouring money into their AI capabilities. And it's a shift from a company that used to be hyper-focused on virtual reality. Marketplace's Stephanie Hughes talked about this with Mike Isaac, a reporter for the New York Times, to learn more.

Meta anticipates up to $135 billion worth of capital expenditures this year, nearly double the company's outlay in 2025. One driver of that expenditure growth is what Meta calls its "Superintelligence Labs." This kind of spending puts it right up there with other tech giants pouring money into their AI capabilities. And it's a shift from a company that used to be hyper-focused on virtual reality. Marketplace's Stephanie Hughes talked about this with Mike Isaac, a reporter for the New York Times, to learn more.

Vlad Tenev and Tudor Achim from Harmonic explain how they built Aristotle, an AI system that reaches International Mathematical Olympiad gold-medal performance using formally verified Lean proofs. They unpack the architecture behind mathematical superintelligence, including Monte Carlo Tree Search, lemma guessing, and specialized geometry modules. The conversation explores how verifiable reasoning could harden mission-critical software, reshape mathematical practice, and lead to trustworthy superintelligent systems by 2030. Use the Granola Recipe Nathan relies on to identify blind spots across conversations, AI research, and decisions: https://bit.ly/granolablindspot Sponsors: Claude: Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro's full capabilities at https://claude.ai/tcr Framer: Framer is an enterprise-grade website builder that lets business teams design, launch, and optimize their.com with AI-powered wireframing, real-time collaboration, and built-in analytics. Start building for free and get 30% off a Framer Pro annual plan at https://framer.com/cognitive Blitzy: Blitzy is the autonomous code generation platform that ingests millions of lines of code to accelerate enterprise software development by up to 5x with premium, spec-driven output. Schedule a strategy session with their AI solutions consultants at https://blitzy.com Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai CHAPTERS: (00:00) About the Episode (04:58) Math as reasoning (Part 1) (15:22) Sponsors: Claude | Framer (18:51) Math as reasoning (Part 2) (18:51) Inside the Lean language (27:51) Lean intuition and MathLib (Part 1) (34:08) Sponsors: Blitzy | Tasklet (37:08) Lean intuition and MathLib (Part 2) (38:47) Inside Aristotle's architecture (48:33) Scope, boundaries, and applications (54:37) Training, taste, and interpretability (01:08:18) Formal math and software (01:16:50) Limits, entropy, and roadmap (01:25:24) 2030 vision and safety (01:33:38) Outro PRODUCED BY: https://aipodcast.ing

Recorded live at Apollo House 2026, this fireside chat captures a candid, in-the-room conversation between StartUp Health's Unity Stoakes and entrepreneur, investor, and technologist Vinod Khosla of Khosla Ventures on AI's accelerating impact on healthcare. Khosla explains why he believes AI is a platform shift larger than the internet or mobile, and how that shift could unlock access to high-quality care for billions. The conversation explores his “AI intern” model for healthcare, why copilots often underperform in complex clinical work, and why trust, supervision, and fit-for-purpose guardrails are essential. A live exchange with Esther Dyson adds perspective on empathy, communication, and the enduring human dimensions of care. As a live recording, the audio reflects the energy of the room rather than a studio setting. Do you want to participate in live conversations with industry luminaries? When you join the StartUp Health Network – a new private community for investors, buyers, and industry leaders to connect year-round with top health entrepreneurs – you are invited to a full calendar of interactive Fireside Chats with the most influential leaders shaping health innovation. Come with questions, learn what is working right now, and connect with industry icons. » Learn more and join today. Want more content like this? Sign up for StartUp Health Insider™ to get funding insights, news, and special updates delivered to your inbox.

Welcome to Exponential View, the show where I explore how exponential technologies such as AI are reshaping our future. I've been studying AI and exponential technologies at the frontier for over ten years.Each week, I share some of my analysis or speak with an expert guest to make light of a particular topic.To keep up with the Exponential transition, subscribe to this channel or to my newsletter: https://www.exponentialview.co/-----A week before OpenClaw exploded, I recorded a prescient conversation with Mustafa Suleyman, CEO of Microsoft AI and co-founder of DeepMind. We talked about what happens when AI starts to seem conscious – even if it isn't. Today, you get to hear our conversation.Mustafa has been sounding the alarm about what he calls “seemingly conscious AI” and the risk of collective AI psychosis for a long time. We discussed this idea of the “fourth class of being” – neither human, tool, nor nature – that AI is becoming and all it brings with it.Skip to the best bits:(03:38) Why consciousness means the ability to suffer(06:52) "Your empathy circuits are being hacked"(07:23) Consciousness as the basis of rights(10:47) A fourth class of being(13:41) Why market forces push toward seemingly conscious AI(20:56) What AI should never be allowed to say(25:06) The proliferation problem with open-source chatbots(29:09) Why we need well-paid civil servants(30:17) Where should we draw the line with AI?(37:48) The counterintuitive case for going faster(42:00) The vibe coding dopamine hit(47:09) Social intelligence as the next AI frontier(48:50) The case for humanist super intelligence-----Where to find Mustafa:- X (Twitter): https://x.com/mustafasuleyman- LinkedIn: https://www.linkedin.com/in/mustafa-suleyman/- Personal Website: https://mustafa-suleyman.ai/Where to find me:- Substack: https://www.exponentialview.co/- Website: https://www.azeemazhar.com/- LinkedIn: https://www.linkedin.com/in/azhar- Twitter/X: https://x.com/azeemProduced by supermix.io and EPIIPLUS1 Ltd. Production and research: Chantal Smith and Marija Gavrilov. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

It’s actually a good thing that some books push you to the edge of your ability to understand. But there’s no doubting the fact that dense, abstract and jargon-filled works can push you so far into the fog of frustration that you cannot blame yourself for giving up. But here’s the truth: You don’t have to walk away frustrated and confused. I’m going to share with you a number of practical strategies that will help you fill in the gaps of your reading process. Because that’s usually the real problem: It’s not your intelligence. Nor is it that the world is filled with books “above your level.” I ultimately don’t believe in “levels” as such. But as someone who taught reading courses at Rutgers and Saarland University, I know from experience that many learners need to pick up a few simple steps that will strengthen how they approach reading difficult books. And in this guide, you’ll learn how to read challenging books and remember what they say. I’m going to go beyond generic advice too. That way, you can readily diagnose: Why certain books feel so hard Use pre-reading tactics that prime your brain to deal with difficulties effectively Apply active reading techniques to lock in understanding faster Leverage accelerated learning tools that are quick to learn Use Artificial Intelligence to help convert tough convent into lasting knowledge without worrying about getting duped by AI hallucinations Whether you’re tacking philosophy, science, dense fiction or anything based primarily in words, the reading system you’ll learn today will help you turn confusion into clarity. By the end, even the most intimidating texts will surrender their treasures to your mind. Ready? Let’s break it all down together. https://www.youtube.com/watch?v=y9HLbY4jsFg Why Some Books Feel “Too Hard” (And What That Really Means) You know exactly how it feels and so do I. You sit down with a book that people claim is a classic or super-important. But within a few pages, your brain fogs over and you’re completely lost. More often than not, through glazed eyes, you start to wonder… did this author go out of his or her way to make this difficult? Are they trying to show off with all these literary pyrotechnics? Or is there a deliberate conspiracy to confuse readers like me? Rest assured. These questions are normal and well worth asking. The difficulty you might feel is never arbitrary in my experience. But there’s also no “single origin” explanation for why some books feel easier than others. It’s almost always a combination of factors, from cognitive readiness, lived experience, emotions and your physical condition throughout the day. This means that understanding why individual texts resist your understanding needs to be conducted on a case-by-case basis so you can move towards mastering anything you want to read. Cognitive Load: The Brain’s Processing “Stop Sign” “Cognitive load” probably needs no definition. The words are quite intuitive. You start reading something and it feels like someone is piling heavy bricks directly on top of your brain, squishing everything inside. More specifically, these researchers explain that what’s getting squished is specifically your working memory, which is sometimes called short-term memory. In practical terms, this means that when a book suddenly throws a bunch of unfamiliar terms at you, your working memory has to suddenly deal with abstract concepts, completely new words or non-linear forms of logic. All of this increases your cognitive load, but it’s important to note that there’s no conspiracy. In Just Being Difficult: Academic Writing in the Public Arena, a variety of contributors admit that they often write for other specialists. Although it would be nice to always compose books and articles for general readers, it’s not laziness. They’re following the codes of their discipline, which involves shorthand to save everyone time. Yes, it can also signal group membership and feel like an intellectual wall if you’re new to this style, but it’s simply a “stop sign” for your brain. And wherever there are stop signs, there are also alternative routes. Planning Your Detour “Roadmap” Into Difficult Books Let me share a personal example by way of sharing a powerful technique for making hard books easier to read. A few years ago I decided I was finally going to read Kant. I had the gist of certain aspects of his philosophy, but a few pages in, I encountered so many unfamiliar terms, I knew I had to obey the Cognitive Load Stop Sign and take a step back. To build a roadmap into Kant, I searched Google in a particular way. Rather than a search term like, “Intro to Kant,” I entered this tightened command instead: Filetype:PDF syllabus Kant These days, you can ask an LLM in more open language to simply give you links to the syllabi of the most authoritative professors who teach Kant. I’d still suggest that you cross-reference what you get on Google, however. If you’re hesitant about using either Google or AI, it’s also a great idea to visit a librarian in person to help you. Or, you can read my post about using AI for learning with harming your memory to see if it’s time to update your approach. Narrowing Down Your Options One way or another, the reason to consult the world’s leading professors is that their syllabi will provide you with: Foundational texts Core secondary literature Commentaries from qualified sources Essential historical references Once you’ve looked over a few syllabi, look through the table of contents of a few books on Amazon or Google Books. Then choose: 1-2 foundational texts to read before the challenging target book you want to master 1-2 articles or companion texts to read alongside In this way, you’ve turned difficulty into a path, not an obstacle. Pre-Reading Strategies That Warm Up Your Reading Muscles A lot of the time, the difficulty people feel when reading has nothing to do with the book. It’s just that you’re diving into unfamiliar territory without testing the waters first. Here are some simple ways to make unfamiliar books much easier to get into. Prime Like a Pro To make books easier to read, you can perform what is often called “priming” in the accelerated learning community. It is also sometimes called “pre-reading” and as this research article discusses, its success has been well-demonstrated. The way I typically perform priming is simple. Although some books require a slight change to the pattern, I typically approach each new book by reading: The back cover The index The colophon page The conclusion or afterword The most interesting or relevant chapter The introduction The rest of the book Activate Prior Knowledge Sometimes I will use a skimming and scanning strategy after reading the index to quickly familiarize myself with how an author approaches a topic with which I’m already familiar. This can help raise interest, excitement and tap into the power of context-dependent memory. For example, I recently started reading Doubt: A History by Jennifer Michael Hecht. Since the Renaissance memory master Giordano Bruno comes up multiple times, I was able to draw up a kind of context map of the books themes by quickly going through those passages. Take a Picture Walk Barbara Oakley and Terence Sejnjowski share a fantastic strategy in Learning How to Learn. Before reading, simply go through a book and look at all the illustrations, tables, charts and diagrams. It seems like a small thing. But it gives your brain a “heads up” about upcoming visual information that you may need to process than prose. I used to find visual information like this difficult, but after I started taking picture walks, I’m now excited to read “towards” these elements. If still find them challenging to understand, I apply a tip I learned from Tony Buzan that you might like to try: Rather than struggle to interpret a chart or illustration, reproduce it in your own hand. Here’s an example of how I did this when studying spaced repetition: As a result, I learned the graph and its concepts quickly and have never forgotten it. Build a Pre-Reading Ritual That Fits You There’s no one-sized-fits-all strategy, so you need to experiment with various options. The key is to reduce cognitive load by giving your mind all kinds of ways of understanding what a book contains. If it helps, you can create yourself a checklist that you slip into the challenging books on your list. That way, you’ll have both a bookmark and a protocol as you develop your own pre-reading style. Active Reading Techniques That Boost Comprehension Active reading involves deliberately applying mental activities while reading. These can include writing in the margins of your books, questioning, preparing summaries and even taking well-time breaks between books. Here’s a list of my favorite active reading strategies with ideas on how you can implement them. Using Mnemonics While Reading On the whole, I take notes while reading and then apply a variety of memory techniques after. But to stretch my skills, especially when reading harder books, I start the encoding process earlier. Instead of just taking notes, I’ll start applying mnemonic images. I start early because difficult terms often require a bit more spaced repetition. To do this yourself, the key is to equip yourself with a variety of mnemonic methods, especially: The Memory Palace technique The Pegword Method The Major System The PAO System And in some cases, you may want to develop a symbol system, such as if you’re studying physics or programming. Once you have these mnemonic systems developed, you can apply them in real time. For example, if you come across names and dates, committing them to memory as you read can help you keep track of a book’s historical arc. This approach can be especially helpful when reading difficult books because authors often dump a lot of names and dates. By memorizing them as you go, you reduce the mental load of having to track it all. For even more strategies you can apply while reading, check out my complete Mnemonics Dictionary. Strategic Questioning Whether you take notes or memorize in real-time, asking questions as you go makes a huge difference. Even if you don’t come up with answers, continually interrogating the book will open up your brain. The main kinds of questions are: Evaluative questions (checking that the author uses valid reasoning and address counterarguments) Analytical questions (assessing exactly how the arguments unfold and questioning basic assumptions) Synthetic questions (accessing your previous knowledge and looking for connections with other books and concepts) Intention questions (interrogating the author’s agenda and revealing any manipulative rhetoric) One medieval tool for questioning you can adopt is the memory wheel. Although it’s definitely old-fashioned, you’ll find that it helps you rotate between multiple questions. Even if they are as simple as who, what, where, when, how and why questions, you’ll have a mental mnemonic device that helps ensure you don’t miss any of them. Re-reading Strategies Although these researchers seem to think that re-reading is not an effective strategy, I could not live without it. There are three key kinds of re-reading I recommend. Verbalize Complexity to Tame It The first is to simply go back and read something difficult to understand out loud. You’d be surprised how often it’s not your fault. The author has just worded something in a clunky manner and speaking the phrasing clarifies everything. Verbatim Memorization for Comprehension The second strategy is to memorize the sentence or even an entire passage verbatim. That might seem like a lot of work, but this tutorial on memorizing entire passages will make it easy for you. Even if verbatim memorization takes more work, it allows you to analyze the meaning within your mind. You’re no longer puzzling over it on paper, continuing to stretch your working memory. No, you’ve effectively expanded at least a part of your working memory by bypassing it altogether. You’ve ushered the information into long-term memory. I’m not too shy to admit that I have to do this sometimes to understand everything from the philosophy in Sanskrit phrases to relatively simple passages from Shakespeare. As I shared in my recent discussion of actor Anthony Hopkins’ memory, I couldn’t work out what “them” referred to in a particular Shakespeare play. But after analyzing the passage in memory, it was suddenly quite obvious. Rhythmical Re-reading The third re-reading strategy is something I shared years ago in my post detailing 11 reasons you should re-read at least one book per month. I find this approach incredibly helpful because no matter how good you get at reading and memory methods, even simple books can be vast ecosystems. By revisiting difficult books at regular intervals, you not only get more out of them. You experience them from different perspectives and with the benefit of new contexts you’ve built in your life over time. In other words, treat your reading as an infinite game and never assume that you’ve comprehended everything. There’s always more to be gleaned. Other Benefits of Re-reading You’ll also improve your pattern recognition by re-treading old territory, leading to more rapid recognition of those patterns in new books. Seeing the structures, tropes and other tactics in difficult books opens them up. But without regularly re-reading books, it can be difficult to perceive what these forms are and how authors use them. To give you a simple example of a structure that appears in both fiction and non-fiction, consider in media res, or starting in the middle. When you spot an author using this strategy, it can immediately help you read more patiently. And it places the text in the larger tradition of other authors who use that particular technique. For even more ideas that will keep your mind engaged while tackling tough books, feel free to go through my fuller article on 7 Active Reading Strategies. Category Coloring & Developing Your Own Naming System For Complex Material I don’t know about you, but I do not like opening a book only to find it covered in highlighter marks. I also don’t like highlighting books myself. However, after practicing mind mapping for a few years, I realized that there is a way to combine some of its coloring principles with the general study principles of using Zettelkasten and flashcards. Rather than passively highlighting passages that seem interesting at random, here’s an alternative approach you can take to your next tour through a complicated book. Category Coloring It’s often helpful to read with a goal. For myself, I decided to tackle a hard book called Gödel Escher Bach through the lens of seven categories. I gave each a color: Red = Concept Green = Process Orange = Fact Blue = Historical Context Yellow = Person Purple = School of Thought or Ideology Brown = Specialized Terminology Example Master Card to the Categorial Color Coding Method To emulate this method, create a “key card” or “master card” with your categories on it alongside the chosen color. Use this as a bookmark as you read. Then, before writing down any information from the book, think about the category to which it belongs. Make your card and then apply the relevant color. Obviously, you should come up with your own categories and preferred colors. The point is that you bring the definitions and then apply them consistently as you read and extract notes. This will help bring structure to your mind because you’re creating your own nomenclature or taxonomy of information. You are also using chunking, a specific mnemonic strategy I’ve written about at length in this post on chunking as a memory tool. Once you’re finished a book, you can extract all the concepts and memorize them independently if you like. And if you emulate the strategy seen on the pictured example above, I’ve included the page number on each card. That way, I can place the cards back in the order of the book. Using this approach across multiple books, you will soon spot cross-textual patterns with greater ease. The catch is that you cannot allow this technique to become activity for activity’s sake. You also don’t want to wind up creating a bunch of informational “noise.” Before capturing any individual idea on a card and assigning it to a category, ask yourself: Why is this information helpful, useful or critical to my goal? Will I really use it again? Where does it belong within the categories? If you cannot answers these questions, either move on to the next point. Or reframe the point with some reflective thinking so that you can contextualize it. This warning aside, it’s important not to let perfectionism creep into your life. Knowing what information matters does take some practice. To speed up your skills with identifying critical information, please read my full guide on how to find the main points in books and articles. Although AI can certainly help these days, you’ll still need to do some work on your own. Do Not Let New Vocabulary & Terminology Go Without Memorization One of the biggest mistakes I used to make, even as a fan of memory techniques, slowed me down much more than necessary. I would come across a new term, look it up, and assume I’d remember it. Of course, the next time I came across it, the meaning was still a mystery. But when I got more deliberate, I not only remembered more words, but the knowledge surrounding the unfamiliar terms also stuck with greater specificity. For example, in reading The Wandering Mind by Jamie Kreiner, memorizing the ancient Greek word for will or volition (Prohairesis) pulled many more details about why she was mentioning it. Lo and behold, I started seeing the word in more places and connecting it to other ancient Greek terms. Memorizing those as well started to create a “moat of meaning,” further protecting a wide range of information I’d been battling. Understanding Why Vocabulary Blocks Comprehension The reason why memorizing words as you read is so helpful is that it helps clear out the cognitive load created by pausing frequently to look up words. Even if you don’t stop to learn a new definition, part of your working memory gets consumed by the lack of familiarity. I don’t always stop to learn new definitions while reading, but using the color category index card method you just discovered, it’s easy to organize unfamiliar words while reading. That way they can be tidily memorized later. I have a full tutorial for you on how to memorize vocabulary, but here’s a quick primer. Step One: Use a System for Capturing New Words & Terms Whether you use category coloring, read words into a recording app or email yourself a reminder, the key is to capture as you go. Once your reading session is done, you can now go back to the vocabulary list and start learning it. Step Two: Memorize the Terms I personally prefer the Memory Palace technique. It’s great for memorizing words and definitions. You can use the Pillar Technique with the word at the top and the definition beneath it. Or you can use the corners for the words and the walls for the definitions. Another idea is to photograph the cards you create and important them into a spaced repetition software like Anki. As you’ll discover in my complete guide to Anki, there are several ways you can combine Anki with a variety of memory techniques. Step Three: Use the Terms If you happened to catch an episode of the Magnetic Memory Method Podcast back when I first learned Prohairesis I mentioned it often. This simple habit helps establish long-term recall, reflection and establishes the ground for future recognition and use. Expand Understanding Using Video & Audio Media When I was in university, I often had to ride my bike across Toronto to borrow recorded lectures on cassette. Given the overwhelming tsunamis of complex ideas, jargon and theoretical frameworks I was facing, it was worth it. Especially since I was also dealing with the personal problems I shared with you in The Victorious Mind. Make no mistake: I do not believe there is any replacement for reading the core books, no matter how difficult they might be. But there’s no reason not to leverage the same ideas in multiple formats to help boost your comprehension and long-term retention. Multimedia approaches are not just about knowledge acquisition either. There have been many debates in the magical arts community that card magicians should read and not rely on video. But evidence-based studies like this one show that video instruction combined with reading written instructions is very helpful. The Science Behind Multi-Modal Learning I didn’t know when I was in university, or when I was first starting out with memdeck card magic that dual coding theory existed. This model was proposed by Allan Paivio, who noticed that information is processed both verbally and non-verbally. Since then, many teachers have focused heavily on how to encourage students to find the right combination of reading, visual and auditory instructional material. Here are some ideas that will help you untangle the complexity in your reading. How to Integrate Multimedia Without Overload Forgive me if this is a bit repetitive, but to develop flow with multiple media, you need to prime the brain. As someone who has created multiple YouTube videos, I have been stubborn about almost always including introductions. Why? Go Through the Intros Like a Hawk Because without including a broad overview of the topic, many learners will miss too many details. And I see this in the comments because people ask questions that are answered throughout the content and flagged in the introductions. So the first step is to be patient and go through the introductory material. And cultivate an understanding that it’s not really the material that is boring. It’s the contemporary issues with dopamine spiking that make you feel impatient. The good news is that you can possibly reset your dopamine levels so you’re better able to sit through these “priming” materials. One hack I use is to sit far away from my mouse and keep my notebook in hand. If I catch myself getting antsy, I perform a breathing exercise to restore focus. Turn on Subtitles When you’re watching videos, you can help increase your engagement by turning on the subtitles. This is especially useful in jargon-heavy video lessons. You can pause and still see the information on the screen for easier capture when taking notes. When taking notes, I recommend jotting down the timestamp. This is useful for review, but also for attributing citations later if you have to hand in an assignment. Mentally Reconstruct After watching a video or listening to a podcast on the topic you’re mastering, take a moment to review the key points. Try to go through them in the order they were presented. This helps your brain practice mental organization by building a temporal scaffold. If you’ve taken notes and written down the timestamps, you can easily check your accuracy. Track Your Progress For Growth & Performance One reason some people never feel like they’re getting anywhere is that they have failed to establish any points of reference. Personally, this is easy for me to do. I can look back to my history of writing books and articles or producing videos and be reminded of how far I’ve come at a glance. Not only as a writer, but also as a reader. For those who do not regularly produce content, you don’t have to start a blog or YouTube channel. Just keep a journal and create a few categories of what skills you want to track. These might include: Comprehension Retention Amount of books read Vocabulary growth Critical thinking outcomes Confidence in taking on harder books Increased tolerance with frustration when reading challenges arise You can use the same journal to track how much time you’ve spent reading and capturing quick summaries. Personally, I wish I’d started writing summaries sooner. I really only got started during grad school when during a directed reading course, a professor required that I had in a summary for every book and article I read. I never stopped doing this and just a few simple paragraph summaries has done wonders over the years for my understanding and retention. Tips for Overcoming Frustration While Reading Difficult Books Ever since the idea of “desirable difficulty” emerged, people have sought ways to help learners overcome emotional responses like frustration, anxiety and even shame while tackling tough topics. As this study shows, researchers and teachers have found the challenge difficult despite the abundance of evidence showing that being challenged is a good thing. Here are some strategies you can try if you continue to struggle. Embrace Cognitive Discomfort As we’ve discussed, that crushing feeling in your brain exists for a reason. Personally, I don’t think it ever goes away. I still regularly pick up books that spike it. The difference is that I don’t start up a useless mantra like, “I’m not smart enough for this.” Instead, I recommend you reframe the experience and use the growth mindset studied by Carol Dweck, amongst others. You can state something more positive like, “This book is a bit above my level, but I can use tactics and techniques to master it.” I did that very recently with my reading of The Xenotext, parts of which I still don’t fully understand. It was very rewarding. Use Interleaving to Build Confidence I rotate through draining books all the time using a proven technique called interleaving. Lots of people are surprised when I tell them that I rarely read complex and challenging books for longer than fifteen minutes at a time. But I do it because interleaving works. Which kinds of books can you interleave? You have choices. You can either switch in something completely different, or switch to a commentary. For example, while recently reading some heavy mathematical theories about whether or not “nothing” can exist, I switched to a novel. But back in university, I would often stick within the category while at the library. I’d read a core text by a difficult philosopher, then pick up a Cambridge Companion and read an essay related to the topic. You can also interleave using multimedia sources like videos and podcasts. Interleaving also provides time for doing some journaling, either about the topic at hand or some other aspect of your progress goals. Keep the Big Picture in Mind Because frustration is cognitively training, it’s easy to let it drown out your goals. That’s why I often keep a mind map or some other reminder on my desk, like a couple of memento mori. It’s also possible to just remember previous mind maps you’ve made. This is something I’m doing often at the moment as I read all kinds of boring information about managing a bookshop for my Memory Palace bookshop project first introduced in this video: https://www.youtube.com/watch?v=utcJfeQZC2c It’s so easy to get discouraged by so many rules and processes involved in ordering and selling books, that I regularly think back to creating this mind map with Tony Buzan years ago. In case my simple drawings on this mind map for business development doesn’t immediately leap out at you with its meanings, the images at the one o’clock-three o’clock areas refer to developing a physical Memory Palace packed with books on memory and learning. Developing and keeping a north star in mind will help you transform the process of reading difficult books into a purposeful adventure of personal development. Even if you have to go through countless books that aren’t thrilling, you’ll still be moving forward. Just think of how much Elon Musk has read that probably wasn’t all that entertaining. Yet, it was still essential to becoming a polymath. Practice Seeing Through The Intellectual Games As you read harder and harder books, you’ll eventually come to realize that the “fluency” some people have is often illusory. For example, some writers and speakers display a truly impressive ability to string together complex terminology, abstract references and fashionable ideas of the day in ways that sound profound. Daniel Dennett frequently used a great term for a lot of this verbal jujitsu that sounds profound but is actually trivial. He called such flourishes “deepities.” https://www.youtube.com/watch?v=ey-UeaSi1rI This kind of empty linguistic dexterity will be easier for you to spot when you read carefully, paraphrase complex ideas in your own words and practice memorizing vocabulary frequently. When you retain multiple concepts and practice active questioning in a large context of grounded examples and case studies, vague claims will not survive for long in your world. This is why memory training is about so much more than learning. Memorization can equip you to think independently and bring clarity to fields that are often filled with gems, despite the fog created by intellectual pretenders more interested in word-jazz than actual truth. Using AI to Help You Take On Difficult Books As a matter of course, I recommend you use AI tools like ChatGPT after doing as much reading on your own as possible. But there’s no mistaking that intentional use of such tools can help you develop greater understanding. The key is to avoid using AI as an answer machine or what Nick Bostrom calls an “oracle” in his seminal book, Superintelligence. Rather, take a cue from Andrew Mayne, a science communicator and central figure at OpenAI and host of their podcast. His approach centers on testing in ways that lead to clarity of understanding and retention as he uses various mnemonic strategies. https://www.youtube.com/watch?v=JlzD_6Olaqw Beyond his suggestions, here are some of my favorite strategies. Ask AI to Help Identify All Possible Categories Connected to a Topic A key reason many people struggle to connect ideas is simply that they haven’t developed a mental ecosystem of categories. I used to work in libraries, so started thinking categorically when I was still a teenager. But these days, I would combine how traditional libraries are structured with a simple prompt like: List all the possible categories my topic fits into or bridges across disciplines, historical frameworks and methodologies. Provide the list without interpretation or explanation so I can reflect. A prompt like this engineers a response that focuses on relationships and lets your brain perform the synthetic thinking. Essentially, you’ll be performing what some scientists call schema activation, leading to better personal development outcomes. Generate Lists of Questions To Model Exceptional Thinkers Because understanding relies on inquiry, it’s important to practice asking the best possible questions. AI chat bots can be uniquely useful in this process provided that you explicitly insist that it helps supply you excellent questions without any answers. You can try a prompt like: Generate a list of questions that the world’s most careful thinkers in this field would ask about this topic. Do not provide any answers. Just the list of questions. Do this after you’ve read the text and go through your notes with fresh eyes. Evaluate the material with questions in hand, ideally by writing out your answers by hand. If you need your answers imported into your computer, apps can now scan your handwriting and give you text file. Another tip: Don’t be satisfied with the first list of questions you get. Ask the AI to dig deeper. You can also ask the AI to map the questions into the categories you previously got help identifying. For a list of questions you can put into your preferred chat bot, feel free to go through my pre-AI era list of philosophical questions. They are already separated by category. Use AI to Provide a Progress Journal Template If you’re new to journaling, it can be difficult to use the technique to help you articulate what you’re reading and why the ideas are valuable. And that’s not to mention working out various metrics to measure your growth over time. Try a prompt like this: Help me design a progress journal for my quest to better understand and remember difficult books. Include sections for me to list my specific goals, vocabulary targets, summaries and various milestones I identify. Make it visual so I can either copy it into my own print notebook or print out multiple copies for use over time. Once you have a template you’re happy to experiment with, keep it visible in your environment so you don’t forget to use it. Find Blind Spots In Your Summaries Many AIs have solid reasoning skills. As a result, you can enter your written summaries and have the AI identify gaps in your knowledge, blind spots and opportunities for further reading. Try a prompt like: Analyze this summary and identify any blind spots, ambiguities in my thinking or incompleteness in my understanding. Suggest supplementary reading to help me fill in any gaps. At the risk of repetition, the point is that you’re not asking for the summaries. You’re asking for assessments that help you diagnose the limits of your understanding. As scientists have shown, metacognition, or thinking about your thinking can help you see errors much faster. By adding an AI into the mix, you’re getting feedback quickly without having to wait for a teacher to read your essay. Of course, AI outputs can be throttled, so I find it useful to also include a phrase like, “do not throttle your answer,” before asking it to dig deeper and find more issues. Used wisely, you will soon see various schools of thought with much greater clarity, anticipate how authors make their moves and monitor your own blind spots as you read and reflect. Another way to think about the power of AI tools is this: They effectively mirror human reasoning at a species wide level. You can use them to help you mirror more reasoning power by regularly accessing and practicing error detection and filling in the gaps in your thinking style. Why You Must Stop Abandoning Difficult Books (At Least Most of the Time) Like many people, I’m a fan of Scott Young’s books like Ultralearning and Get Better at Anything. He’s a disciplined thinker and his writing helps people push past shallow learning in favor of true and lasting depth. However, he often repeats the advice that you should stop reading boring books. In full transparency, I sometimes do this myself. And Young adds a lot of context to make his suggestion. But I limit abandoning books as much as possible because I don’t personally find Young’s argument that enjoyment and productivity go together. On the contrary, most goals that I’ve pursued have required fairly intense periods of delaying gratification. And because things worth accomplishing generally do require sacrifice and a commitment to difficulty, I recommend you avoid the habit of giving up on books just because they’re “boring” or not immediately enjoyable. I’ll bet you’ll enjoy the accomplishment of understanding hard books and conquering their complexity far more in the end. And you’ll benefit more too. Here’s why I think so. The Hidden Cost of Abandoning Books You’ve Started Yes, I agree that life is short and time is fleeting. But if you get into the habit of abandoning books at the first sign of boredom, it can quickly become your default habit due to how procedural memory works. In other words, you’re given your neurons the message that it’s okay to escape from discomfort. That is a very dangerous loop to throw yourself into, especially if you’re working towards becoming autodidactic. What you really need is to develop the ability to stick with complexity, hold ambiguous and contradictory issues in your mind and fight through topic exhaustion. Giving up on books on a routine basis? That’s the opposite of developing expertise and resilience. The AI Risk & Where Meaning is Actually Found We just went through the benefits of AI, so you shouldn’t have issues. But I regularly hear from people and have even been on interviews where people use AI to summarize books I’ve recomended. This is dangerous because the current models flatten nuance due to how they summarize books based on a kind of “averaging” of what its words predictability mean. Although they might give you a reasonable scaffold of a book’s structure, you won’t get the friction created by how authors take you through their thought processes. In other words, you’ll be using AI models that are not themselves modeling the thinking that reading provides when you grind your way through complex books. The Treasure of Meaning is Outside Your Comfort Zone Another reason to train for endurance is that understanding doesn’t necessarily arrive while reading a book or even a few weeks after finishing it. Sometimes the unifying insights land years later. But if you don’t read through books that seem to be filled with scattered ideas, you cannot gain any benefit from them. Their diverse points won’t consolidate in your memory and certainly won’t connect with other ideas later. So I suggest you train your brain to persist as much as possible. By drawing up the support of the techniques we discussed today and a variety of mnemonic support systems, you will develop persistence and mine more gold from everything you read. And being someone who successfully mines for gold and can produce it at will is the mark of the successful reading. Not just someone who consumes information efficiently, but who can repeatedly connect and transform knowledge year after year due to regularly accumulating gems buried in the densest and most difficult books others cannot or will not read. Use Struggle to Stimulate Growth & You Cannot Fail As you’ve seen, challenging books never mean that you’re not smart enough. It’s just a matter of working on your process so that you can tackle new forms of knowledge. And any discomfort you feel is a signal that a great opportunity and personal growth adventure awaits. By learning how to manage cognitive load, fill in the gaps in your background knowledge and persist through frustration, you can quickly become the kind of reader who seeks out complexity instead of flinching every time you see it. Confusion has now become a stage along the path to comprehension. And if you’re serious about mastering increasingly difficult material, understanding and retaining it, then it’s time to upgrade your mental toolbox. Start now by grabbing my Free Memory Improvement Course: Inside, you’ll discover: The Magnetic Memory Method for creating powerful Memory Palaces How to develop your own mnemonic systems for encoding while reading Proven techniques that deepen comprehension, no matter how abstract or complex your reading list is And please, always remember: The harder the book, the greater rewards. And the good news is, you’re now more than ready to claim them all.

Today on our show:ChatGPT's 4% Fee Confirms Marketplace EconomicsAmerican Eagle to Close Quiet Logistics BusinessUPS Releases 4Q 2025 Earnings and Provides 2026 GuidanceMeta Earnings in Superintelligence We Trust- and finally, The Investor Minute, which contains 5 items this week from the world of venture capital, acquisitions, and IPOs.Today's episode is sponsored by Rithum.https://www.rmwcommerce.com/ecommerce-podcast-watsonweekly

Use code coolworldspodcast at https://incogni.com/coolworldspodcast to get an exclusive 60% off. In this week's episode, David is joined by Nick Bostrom, Professor of Philosophy at Oxford University and author of several books including "Deep Utopia", "Superintelligence" and "Anthropic Reasoning".   To support this podcast and our research lab, head to https://coolworldslab.com/support   Cool Worlds Podcast Theme by Hill [https://open.spotify.com/artist/1hdkvBtRdOW4SPsnxCXOjK]

- Interview with Tom Luongo on Trump's Global Strategy (0:11) - Greenland's Preference for Denmark (3:55) - Trump's Response to Greenland's Independence (9:26) - Trump's Encouragement of Iranian Insurgency (11:58) - Economic and Political Concerns (15:23) - The Global Free-for-All Era (19:45) - Challenges for the U.S. and Trump (25:18) - The Role of Vote Fraud and Military Intervention (36:51) - The Human Brain as a Mobile Processor (39:19) - The Future of AI and Human Replacement (47:06) - DeepSea Version 4 and Cloud Code Issues (1:19:31) - China's Technological Advancements and US Companies' Response (1:30:09) - Trump's Policies and Their Impact on the US (1:33:59) - Tom Luongo's Analysis of Global Politics and Trump's Strategy (1:40:12) - Trump's International Moves and Their Implications (1:45:16) - Trump's Economic Policies and Their Impact on the US Economy (2:19:35) - Trump's Efforts to Address Corruption and Fraud (2:26:10) - The Role of the Supreme Court and Legal Limits (2:30:51) - The Future of American Politics and Society (2:31:04) - The Importance of Addressing Systemic Issues (2:35:52) - Trump's Support Base and Voter Integrity (2:36:11) - Voter Roll Cleanup and Voter Integrity Legislation (2:40:35) - Critique of Polling Data and Predictive Models (2:41:45) - Potential for a National Emergency and Military Involvement (2:46:37) - Democrats' Strategy and Globalist Agenda (2:50:09) - Tom Luongo's Background and Contributions (2:51:53) For more updates, visit: http://www.brighteon.com/channel/hrreport  NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

Are we in a simulation? On this episode, Neil deGrasse Tyson and comic co-host Chuck Nice take a deep dive into simulation theory, consciousness, and free will with Oxford theorist Nick Bostrom. Is this The Matrix? Originally Aired December 21, 2021.NOTE: StarTalk+ Patrons can listen to this entire episode commercial-free here: https://startalkmedia.com/show/cosmic-queries-living-in-a-simulation-with-nick-bostrom/ Subscribe to SiriusXM Podcasts+ to listen to new episodes of StarTalk Radio ad-free and a whole week early.Start a free trial now on Apple Podcasts or by visiting siriusxm.com/podcastsplus. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.