Podcasts about Computation

Right now, as you're reading this sentence, something remarkable is happening in your brain. Light waves from your screen hit your eyes, transform into electrical signals, and take on meaning. You understand what you're reading. This is language — our human superpower.But despite 150 years of intensive research, we still do not have a complete picture of how the brain actually accomplishes all of this. We don't even have a good answer to a seemingly simple question: Where in the brain does language happen? It turns out, the answer may be different in different people.Today we'll hear from neuro-linguist Cory Shain, one of the leaders of a new Big Ideas in Neuroscience project here at Wu Tsai Neuro that is combining multiple brain recording techniques to build individualized maps of the language network—and use these insights to improve brain implants for people who've lost the ability to speak or write due to brain injury or illness.Learn moreLaboratory for Computation & Language in Minds & BrainsLaboratory of Speech NeuroscienceNeural Prosthetics Translational LabBrainGateHow the Brain Processes Different Components of Language (Psychology Today, 2024)Big Ideas in Neuroscience tackle brain science of everyday life and more (Wu Tsai Neurosciences Institute, 2026)Study of promising speech-enabling interface offers hope for restoring communication (Stanford Medicine, 2025)The neuroscience of understanding (Stanford Momentum, 2025)Distributed Sensitivity to Syntax and Semantics throughout the Language Network(Journal of Cognitive Neuroscience, 2025)Hierarchical dynamic coding coordinates speech comprehension in the brain(Proceedings of the National Academy of Sciences, 2025)Send us a text!Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.We want to hear from your neurons! Email us at at neuronspodcast@stanford.eduLearn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn. 

Jim talked with Cory Doctorow—prolific sci-fi and nonfiction author, journalist, activist, EFF special adviser, and author of Enshittification: Why Everything Suddenly Got Worse and What to Do About It—about how structural forces degraded the internet, and what citizens (not consumers) can actually do about it. They discussed: The origin of "enshittification"—Cory's January 2023 blog post, its viral spread, and its naming as Word of the Year by the American Dialect Society Two-sided markets & the persistence of intermediaries Crad Kilodney as a self-publishing illustration, and why platform middlemen survive even when they shouldn't Monopsony vs. monopoly The real statistics of Amazon's dominance of book sales The three-stage enshittification life cycle, using Facebook as the case study The brittle equilibrium of late-stage enshittification—the thin line between "I hate this but can't leave" and mass exodus The metaverse as Facebook's terminal pivot—Zuckerberg's "legless, sexless, low-polygon" avatar world stolen from a 25-year-old cyberpunk novel, and why it still served him by forestalling investor sell-offs Zuckerberg as Rich Uncle Pennybags, not Willy Wonka Amazon's early history & Bezos's "your margin is my opportunity" mantra Amazon's junk fees (now 50–60% and rising) and the $80 billion/year advertising payola business The consumer welfare doctrine—Robert Bork's antitrust theory that monopoly is efficient, and why allowing monopsonies inevitably produces monopolies Jim's personal experience with the Thomson-West legal publishing merger Tech workers as a structural check on enshittification The convergence enabling enshittification: merger to monopoly → regulatory capture → loss of worker leverage → DMCA blocking entrants → abuse The moral decay of business culture—from "we won't do profitable things we think are wrong," to "do whatever's arguably legal," to "do whatever's illegal if the fine is less than the benefit" Google's $20 billion/year payment to Apple to stay off the search market Why predatory pricing cases went unenforced What citizens (not consumers) can do The death of federal antitrust enforcement and international ripple effects State-level antitrust action as a remaining avenue The right to repair as an easy entry point Trump's "Liberation Day" tariffs as a paradoxical opportunity Tech as geopolitical weapon—Microsoft accounts bricked for a Brazilian judge who sentenced Bolsonaro; the ICC chief prosecutor's accounts shut down after the Netanyahu arrest warrant The vision for open, auditable, sovereign digital public goods to replace the enshittified American Internet—run internationally, controlled locally … and much more. Links Episode Transcript Enshittification: Why Everything Suddenly Got Worse and What to Do About It, by Cory Doctorow The Reverse Centaur's Guide to Life After AI: How to Think About Artificial Intelligence Before It's Too Late, by Cory Doctorow Radicalized, by Cory Doctorow The Internet Con, by Cory Doctorow The Bezzle, by Cory Doctorow "TikTok's enshittification," by Cory Doctorow Pluralistic.net Electronic Frontier Foundation Bio Cory Doctorow is a science fiction author, activist, and journalist. He is the author of many books, including the forthcoming The Reverse Centaur's Guide to Life After AI: How to Think About Artificial Intelligence Before It's Too Late. Previous works include Enshittification: Why Everything Suddenly Got Worse and What to Do About It, the subject of this interview; The Internet Con: How to Seize the Means of Computation, a Big Tech disassembly manual; Red Team Blues, a science fiction crime thriller; Chokepoint Capitalism, nonfiction about monopoly and creative labor markets; the Little Brother series for young adults; In Real Life, a graphic novel; and the picture book Poesy the Monster Slayer. In 2020, he was inducted into the Canadian Science Fiction and Fantasy Hall of Fame.

Today on The Gist, the media coverage surrounding Eileen Wang, the former mayor of Arcadia, California who recently pled guilty to acting as a Chinese government agent, is put under the microscope. Then, computational neuroscientist David Sussillo discusses his memoir, Emergence: A Memoir of Boyhood, Computation, and the Mysteries of Mind. He recounts his unlikely trajectory from a neglected childhood in an Albuquerque group home to the bleeding edge of AI at Meta and Stanford, breaking down how he used his intelligence as a psychological shield and why his harrowing experiences leave him optimistic about the future of technology. Produced by Corey Wara Video and Social Media by Geoff Craig Do you have questions or comments, or just want to say hello? Email us at ⁠⁠⁠⁠thegist@mikepesca.com For full Pesca content and updates, check out our website at https://www.mikepesca.com/⁠ For ad-free content or to become a Pesca Plus subscriber, check out ⁠⁠⁠⁠https://subscribe.mikepesca.com/ For Mike's daily takes on Substack, subscribe to The Gist List https://mikepesca.substack.com/ Follow us on Social Media:⁠⁠⁠⁠ YouTube https://www.youtube.com/channel/UC4_bh0wHgk2YfpKf4rg40_g⁠⁠⁠⁠ Instagram https://www.instagram.com/pescagist/ X https://x.com/pescami TikTok https://www.tiktok.com/@pescagist To advertise on the show, contact ⁠⁠⁠⁠sales@amplitudemediapartners.com   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

On this episode of Fostering Change, Rob Scheer is joined by David Sussillo, a neuroscientist, author, and former youth who experienced a childhood marked by instability, poverty, and time in group homes.His story begins in environments many children in foster care and group settings know all too well — uncertainty, trauma, and systems that don't always provide the support they should. But his story doesn't end there.Through a combination of resilience, critical intervention, and moments where someone stepped in, David found a path forward. Today, he is a leading neuroscientist who has worked at Stanford, Google, and Meta, studying the very thing that shaped his life: the human brain.His memoir, Emergence, is not just a story of survival — it is a powerful reminder of what can happen when even one opportunity changes the trajectory of a child's life.This conversation challenges us to ask a difficult but necessary question: how many children are out there right now, just one moment away from a different future?Episode HighlightsGrowing up in instability, poverty, and group home environmentsHow trauma shapes memory, identity, and developmentThe role of mentors, teachers, and small interventionsFrom survival to success in neuroscience and researchReflecting on resilience, loss, and the paths not takenAbout the GuestDavid Sussillo is a neuroscientist, author, and adjunct professor at Stanford University. After a childhood marked by instability and time in group homes, he earned a PhD in computational neuroscience from Columbia University and has worked at leading institutions, including Google Brain and Meta.His memoir, Emergence: A Memoir of Boyhood, Computation, and the Mysteries of Mind, tells the story of his journey from trauma to transformation.Key Questions from This EpisodeWhat led you to write Emergence now?What was it like to revisit your childhood experiences through writing?How did you navigate growing up in group homes and unstable environments?Who were the people who helped change your path?What role did small moments or opportunities play in your journey?How do you reflect on your success alongside those who didn't have the same outcome?What would you say to a young person facing similar challenges today?Closing ThoughtSometimes it doesn't take everything changing — it takes one moment, one person, one opportunity.And for a child navigating instability, that can be the difference between surviving and becoming something far beyond anyone's expectations.Connect with David

FP&A & AI Software Showcase: Explore Leading ToolsFP&A leaders are embracing AI, and we're here to help. On May 21st, I'll host the FP&A & AI Software Showcase, featuring FP&A planning and AI tools like Concourse, Sapien, Drivetrain, and Una AI. Join us for live demos, insights, and no sales pressure.Register today: www.thefpandaguy.com/fpa-software-showcaseIn this episode of FP&A Unlocked, Paul Barnhurst speaks with Michael Gould, a technology entrepreneur and founder of Kaleidoscope, about his extensive experience in financial planning and modelling. Michael shares insights from his 40+ years in the industry, including his work with Anaplan, and discusses how modern finance teams can break free from the limitations of spreadsheets and legacy systems.Michael Gould is a technology entrepreneur and software engineer with over 40 years of experience in financial planning and modeling systems. After studying Mathematics and Computation at the University of Oxford, Michael co-created Adaytum, a leading business planning platform, and later founded Anaplan, a globally successful enterprise planning platform that became a British tech unicorn. Today, he is the founder of Kaleidoscope, focusing on rethinking financial modeling for modern teams and continuing to pioneer innovations that drive better decision-making in business. .Expect to Learn:The challenges and complexities of modern financial modellingHow Kaleidoscope is helping businesses move beyond spreadsheetsMichael's journey from IBM to Anaplan and now KaleidoscopeThe importance of understanding business processes in financial modellingHow AI is impacting the financial modeling landscapeHere are a few relevant quotes from the episode:“The key to financial modeling is representing the complexity of a business without over-simplifying it.” – Michael Gould“AI is a powerful tool, but it's the data context that drives the real value.” – Michael GouldGlenn explains that career growth in FP&A is no longer about following a fixed path or relying on credentials. It comes from building relationships, gaining real experience, and understanding how the business works. He also highlights that strong professionals go beyond numbers by connecting financial results to real business drivers and supporting better decisions.Follow Michael:LinkedIn: https://www.linkedin.com/in/migould/Website: https://www.kaleidoscope.com/?utm_source=partner_fpandaguys&utm_medium=podcast&utm_campaign=interviewEarn Your CPE Credit For CPE credit, please go to earmarkcpe.com, listen to the episode, download the app, answer a few questions, and earn your CPE certification. To earn education credits for the FPAC Certificate, take the quiz on earmark and contact Paul Barnhurst for further details.In Today's Episode[00:00] – Trailer[06:00] – Challenges of Multi-Dimensional Modelling[12:00] – Transitioning to Anaplan[15:00] – Kaleidoscope's Mission to Help Small Businesses[21:00] – The Role of AI in Financial Modelling[27:00] – The Future of Financial Modelling[33:00] – Key Learnings from the Entrepreneurial Journey[39:00] – How AI is Changing Financial Decision-Making[45:00] – Overcoming the Data Challenges in Finance[51:00] – Final Thoughts on Innovation and Future Trends in Finance[57:00] – Conclusion and Key Takeaways

Support the show to get full episodes, full archive, and join the Discord community. The Transmitter is an online publication that aims to deliver useful information, insights and tools to build bridges across neuroscience and advance research. Visit thetransmitter.org to explore the latest neuroscience news and perspectives, written by journalists and scientists. Read more about our partnership. Sign up for Brain Inspired email alerts to be notified every time a new Brain Inspired episode is released. To explore more neuroscience news and perspectives, visit thetransmitter.org. Ehud Ahissar runs the Ahissar Lab at the Weizmann Institute in Israel, where he studies the neuronal and behavioral mechanisms of perception. Ehud sees perception as a closed-loop process, in which organisms actively generate the sensory signals they interpret. Today, we discuss his development of an idea about how this kind of processing can account for our conscious experience. It's a type of dualism Ehud calls "perceptual dualism," different than the dualisms you may already know. I'll use his own words to summarize it here… "The idea is that humans inevitably experience the world through two fundamentally different modes: digital brain–brain (BB) communication and analog brain–world (BW) interaction. In this view, the mind, and consciousness, emerge as social-like phenomena (in the philosophical sense), grounded in BB communication while constrained by BW interaction." Take note of the term brain-brain, shortened as BB, and the term brain-world, shortened as BW, because throughout our discussion you'll often hear just BB and BW to refer to those two distinct domains. So we discuss the ins and outs of his ideas, how came to them via studying active sensing in rodent whisker neurophysiology, how the brain implements this dualism via nested loops of neural circuitry that oppose and interlace with each other at multiple levels, and the idea that attractors, in the dynamical systems sense of attractor, may be the corresponding brain signatures of the digital phenomena that belong to the brain-brain mode of cognition. Ahissar Lab @ehudahissar; @ehudahissar.bsky.social Related papers Digital–Analog Perceptual Duality Closed-loop perception: gaps between artificial intelligence and biology Read the transcript. 0:00 - Intro 5:09 - A new kind of dualism 7:19 - Ehud's whiskers background 14:10 - Digital-analog perceptual dualism 26:08 - Digital communication between humans 32:26 - Attractors as the digital-analog interface 39:50 - Consciousness 50:11 - Dynamics and perceptual bottleneck 51:47 - Language, AI, and digital symbols 1:00:54 - Computation and brains (digital and analog) 1:06:43 - Improving AI with event based activation 1:11:10 - Dualism 1:17:26 - The hard problem of consciousness 1:21:26 - BB and BW interaction 1:24:55 - Tension between BB and BW 1:34:28 - Looking forward 1:37:37 - Srange loops

Support the show to get full episodes, full archive, and join the Discord community. The Transmitter is an online publication that aims to deliver useful information, insights and tools to build bridges across neuroscience and advance research. Visit thetransmitter.org to explore the latest neuroscience news and perspectives, written by journalists and scientists. Read more about our partnership. Sign up for Brain Inspired email alerts to be notified every time a new Brain Inspired episode is released. To explore more neuroscience news and perspectives, visit thetransmitter.org. Brains encode information in representations that perform computations to make predictions, right? No, no, no, and no. That's Romain Brette's response to those ill-conceived notions that neuroscience relies on to try to explain how cognition works. He uses more words to do that in his new book, The Brain, in Theory, which we discuss today. In the book Romain breaks down how many of the common metaphors we use don't withstand scrutiny, and he offers alternative approaches more in line with what we know about how biological entities work. Along those lines, we discuss his ongoing work understanding the cognition of a single celled organism, the paramecium, and what his views might mean for artificial intelligence. This is a long episode, but there's a lot more to be explored in the book, so I recommend you read it. If you're a patreon supporter, I coaxed Romain back on for another 45 minutes to go deeper on his thoughts about how anticipation is the core of cognition, how predictive processing accounts like active inference miss the mark, and a few other topics. Romain's website. The Brain, in Theory. 0:00 - Intro 4:01 - The Brain, In Theory 7:10 - Influences 13:11 - Process metaphysics 18:39 - Observer vs system perspective 21:24 - Information in the brain? 22:56 - Why this book? 29:52 - Computations in the brain 52:14 - Behavior is not a computation 1:07:20 - Paramecium cognition 1:22:02 - How should neuroscientists proceed? 1:29:09 - Cognition as collective behavior of autonomous cells 1:36:47 - Constraints, causes, and laws 1:52:36 - Hopes for the book to influence the field 1:55:04 - Thoughts about AI 2:02:13 - Computation and goals 2:08:17 - Anticipation vs prediction

Abbas Kazimi, CEO of Boston-based Nimbus Therapeutics, on computation and culture for drug discovery.

In episode seven of ALGOpod, Gabriele de Seta catches up with Bokar N'Diaye, doctoral researcher at the University of Amsterdam's Institute for Logic, Language and Computation, regarding the past and future of creativity and generative models.

Voici le 79e épisode de Quantum, le podcast qui fait le point sur l'actualité scientifique, technologique et économique de l'écosystème quantique en France et dans le monde. Evénéments APS March meeting à Denver14 000 physiciens et un beau « hall of fame » du domaine. Le prochain aura lieu à Atlanta des 11 au 16 avril 2027.A venir :Journée Pasqal à Paris le 14 avril, occasion de faire le point sur leur roadmap et partenariats. Inauguration de Quandela Lucy au TGCC le 14 avrilColloque le 16 avril d'une journée au Collège de France organisée par Pascale Senellart sur la photonique quantique avec Serge Haroche en ouverture. https://www.college-de-france.fr/fr/agenda/colloque/technologies-quantiques-base-de-lumiereJournée Quantique Défense organisée à l'AID le 17 avril à l'Ecole Polytechnique.Conférence développeurs Devoxx le 23 avril 2026 avec Fanny Bouton, Olivier Ezratty et Sébastien Marie de Matmut au Palais des Congrès, et aussi Guillaume Schurk d'Alice&Bob. https://www.devoxx.fr/QEI Workshop du 18 au 22 mai à Barcelone. https://qei.netlify.app/Conférence scientifique en l'honneur de la carrière de Philippe Grangier à l'IOGS le 4 juin. https://grangier26.sciencesconf.org/France Quantum le 14 juin à Station F. https://www.francequantum.fr/content/full-day-standard-ticket-2026?discount=OVHCLOUDFQ&productid=a1a41d57-08d5-f011-8195-0022487f0371&qty=1&purchasestep=0&steptype=productsLes 25 et 26 juin : Panorama de toutes les voies technologiques de l'ordinateur quantique à Grenoble organisé par la Maison du Quantique Grenoble-Alpes. https://lnkd.in/dvcasQb2Ecole d'été à Cargèse en Corse organisée par le GdR TeQ du CNRS ‘Quantum Technologies for Computation and Communication' du 8 au 20 juin. https://qt4cc.sciencesconf.org/ France Qubit PharmaceuticalPapier intéressant de l'équipe de Jean-Philip Piquemal sur la découverte de médicaments à l'aide d'une combinaison de calcul classique, d'émulateur, de réseaux de tenseurs et de calcul quantique. The Convergence Frontier: Integrating Machine Learning and High Performance Quantum Computing for Next-Generation Drug Discovery by Narjes Ansari, César Feniou, Nicolaï Gouraud, Daniele Loco, Siwar Badreddine, Baptiste Claudon, Félix Aviat, Marharyta Blazhynska, Kevin Gasperich, Guillaume Michel, Diata Traore, Corentin Villot, Thomas Plé, Olivier Adjoua, Louis Lagardère, and Jean-Philip Piquemal, arXiv, March 2026 (50 pages). https://arxiv.org/abs/2603.17790 High Performance Quantum Emulation for Chemistry Applications with Hyperion by Olivier Adjoua, Siwar Badreddine, César Feniou, Igor Chollet, Diata Traore, Guillaume Michel, and Jean-Philip Piquemal, arXiv, April 2026 (15 pages). https://arxiv.org/abs/2604.01176 Cela complète deux autres papiers côté simulations en chimie quantique :Utility-scale quantum computational chemistry by Davide Castaldo, and Markus Reiher, arXiv, March 2026 (49 pages). ETH Zurich.End-to-End Simulation of Chemical Dynamics on a Quantum Computer by Elliot C. Eklund, Arkin Tikku, Patrick Sinnott, William J. Huggins, Guang Hao Low, Dominic W. Berry, and Ivan Kassal, arXiv, March 2026 (69 pages) par Google AI. Alice&Bob et ARPA-ELos Alamos National Laboratory is working with a General Electric spinoff, GE Vernova, and quantum scaleup Alice & Bob to accelerate the design of cheaper and more sustainable magnets that can be used in electric motors, turbines and future energy and industrial technologies.  The collaboration received $3.9 million from the U.S. DoE's ARPA-E Quantum Computing for Computational Chemistry program to conduct this project.http://email.hkamarcom.com/c/eJwEwE1yhSAMAODTwNJJQvhbsOjm3SMQqE712bGMTnv6flo4-SrO9oIxcvaJCe1a1NeRWAInH33n1lwQjCIdB0JmslshoADOIRIA4ZJ8i9iTVGlBldQwrF9yyNXOY2nnYfeyzvn9Y9yHoZeh1_M8yy7vffk8b0Mve5Vz3-6tX4bh7H-XzPm7vPu0s1SlqCENjZwBJOZcQVKu7Aa14cnO4kkaSgAdAxxxZ_IQNAK6XsX5Zu9C_wEAAP__NBxEhg Papier sur QEC/FTQCOlivier a publié “How to compare logical qubits”, un papier technique en anglais de 45 pages pour débroussailler le domaine de la correction d'erreurs et de la tolérance aux fautes. https://www.oezratty.net/wordpress/2026/how-to-compare-logical-qubits/ Benoit Valiron sur le mythe de l'avantage quantiqueBenoit est chercheur en information quantique et enseignant...

 Våbenindustrien udvikler autonome våbensystemer der kan udføre kritiske funktioner som måludpegning og angreb uden menneskelige operatører, og silicon valleys techindustri er for alvor gået ind i at udvikle systemer der kan bruges til alt fra logistik, anbefalinger af strategi og taktik, analyse af følgeskader, anbefaling af våbensystemer samt forslag til og angreb på mål. Men hvad betyder det for krigens love at der bliver mindre og mindre menneskeligt ansvar i militære beslutningsgange? Er systemerne mere effektive end præcise? Og hvordan forholder vi os til virksomheder som amerikanske Palantir, der både udvikler målsøgningssystemer der bruges af USA i krig, og politidatabaser der bruges i Danmark?Alt dette og meget mere diskuterer vi med ugens gæst, phd. studerede i filosofi med speciale i autonome våbensystemer Sune WithVært: Maia Kahlke LorentzenGæst: Sune With Støt os på PatreonKilder:Sullivan, S.; Ricket, I, 2024, "Targeting in the Black Box," 16th International Conference on Cyber Conflict: Over the Horizon (CyCon), Tallinn, Estonia, pp. 207-220.https://doi.org/10.23919/CyCon62501.2024.10685575IDF, 2024, ”The IDF's Use of Data Technologies in Intelligence Processing”, IDF Press Releases (Accessed January 19, 2025)https://www.idf.il/en/mini-sites/idf-press-releases-israel-at-war/june-24-pr/the-idfs-use-of-data-technologies-in-intelligence-processing-published-june-18-2024/Abraham, Yural, November 30. 2023, “A mass assassination factory: Inside Israels calculated bombing of Gaza”, +972Magazine, (Accessed March 3. 2025)https://www.972mag.com/mass-assassination-factory-israel-calculated-bombing-gaza/Abraham, Yural, April 3. 2024, “Lavender”:The AI machine directing Israels bombing spree in Gaza, +972Magazine, (Accessed March 25. 2025). https://www.972mag.com/lavender-ai-israeli-army-gaza/Definitioner og beskrivelser af AI-DSS i militæret. Rapport lavet for røde kors: Michel, Arthur Holland, 2024, “Decisions, decisions, decisions: Computation and artificial intelligence in military decision-making”, Prepared for the International Committee of the Red Cross (Accessed January 8. 2026) https://shop.icrc.org/decisions-decisions-decisions-computation-and-artificial-intelligence-in-military-decision-making-pdf-en.htmlSHAPE, 2025, “NATO Acquires AI-enabled warfighting system”, SHAPE Public Affairs Office (Accessed January 19, 2026) https://shape.nato.int/news-releases/nato-acquires-aienabled-warfighting-systemJoint Warfare Centre, 2025, ”NATO personnel begin training on the alliance's first AI-enabled software, Maven Smart System NATO”, Joint Warfare Centre Public Affairs Office (Accessed January 19, 2026) https://shape.nato.int/news-archive/2025/nato-personnel-begin-training-on-the-alliances-first-aienabled-software--maven-smart-system-natoBech-Nielsen, Peter Christian, 2025, “Risikovurdering affejer Palantir: Topfigurs anti-demokratiske holdninger skurrer”, Radar, Ingeniøren https://radar.dk/artikel/risikovurdering-affejer-palantir-topfigurs-anti-demokratiske-holdninger-skurrerBetts, Anna, 2026, “Musk's AI toll Grok will be intergrated into Pentagons networks, Hegseth says”, the Guardian. https://www.theguardian.com/technology/2026/jan/13/elon-musk-grok-hegseth-military-pentagonBienvenue, Emily; Kelton, Maryanne; Rogers, Zac; Sullivan, Michael; Ford, Matthew, 2025, “Private Tech Companies, the State, and the New Character of War”, Carnegie Endowment for International Peace https://carnegieendowment.org/research/2025/12/ukraine-war-tech-companiesCaballero, William N.; Jenkins, Phillip R., 2025, “On Large Language Models in National Security Applications”, Stat, Volume 14, Issue 2. https://doi.org/10.1002/sta4.70057Digital State UA, 2026, “Ukraine Launches Brave1 Dataroom with Palantir to Train AI Models using Battlefield Data”, Digital State UA, Ministry of Digital Transformation of Ukraine https://digitalstate.gov.ua/news/tech/ukraine-launches-brave1-dataroom-with-palantir-to-train-ai-models-using-battlefield-dataKing, Anthony, 2025, “AI, Automation, and War”, Princeton University Press (bog)Mansø, Rikke Gjøl, 2025, “Partier stærkt bekymrede: Tech-rigmand tæt på Trump star bag dansk politis “Supervåben”, DR.dk https://www.dr.dk/nyheder/politik/partier-staerkt-bekymrede-tech-rigmand-taet-paa-trump-staar-bag-dansk-politisPoisson, Jayme, 2025, “Palantir's big data, AI long game”, Front Burner, CBCNews, https://www.cbc.ca/radio/frontburner/palantir-s-big-data-ai-long-game-transcript-1.7563510Pinto, Juan Sebastian, 2026, “Palantir, Epstein, & The New York Times”, Ziggurat. https://www.zig.art/p/my-final-message-before-im-on-anTelegrafi, 2022, “How Elon Musk's Starlink satellites saved the Ukrainians and changed the situation on the front”, Telegrafi. https://telegrafi.com/en/how-the-Ukrainians-escaped-and-changed-the-situation-in-front-of-Elon-Musk%27s-starlink-satellites/Trabucco, Lena; Larsen, Esben Salling, 2025, “Artificial Intelligence in Command and Control”,DJØF Forlag and the Centre for Military Studies (Accessed January 9. 2026). https://cms.polsci.ku.dk/publikationer/ai-i-kommando--og-kontrolsystemer/Artificial_Intelligence_in_Command_and_Control_download.pdfhttps://tomdispatch.com/the-new-age-militarists/https://www.972mag.com/gaza-war-trump-silicon-valley-military/ https://amnesty.dk/folk-er-bange-for-konsekvenser-ved-at-kritisere-myndigheder-i-danmark/ https://www.businessinsider.com/palantir-guide-stopping-world-war-iii-karp-book-review-2026-3 https://pure.au.dk/portal/da/publications/death-by-algorithm-a-podcast-series-on-autonomus-weapons-systems/Lydklip:https://www.youtube.com/watch?v=G5gC_fParbY https://x.com/Overlap_Tech/status/1926494848908943399 Cybernauterne er et netværk af eksperter i cybersikkerhed, internetkultur og digital forståelse. I vores podcast Cybernormer undersøger vi internettets subkulturer, hvordan teknologi påvirker os som mennesker og samfund, og hvordan vi kan gribe teknologierne, så de ikke styrer os.Du kan støtte udgivelsen af Cybernormer ved at blive medlem på vores Patreon

David Sussillo (Emergence: A Memoir of Boyhood, Computation, and the Mysteries of Mind) is a technologist, neuroscientist, and professor at Stanford University. David joins the Armchair Expert to discuss growing up with two parents that were addicts, experiencing extreme poverty throughout his childhood, and the joy of finding a best friend during that time. David and Dax talk about how the immersion and rules of video games amid the chaos of his life became the precursor to his research today, ending up in a series of group foster homes for several years, and his dream of going to college functioning as a protective shield for his future self. David explains being orphaned by the living while in foster care, the elation of receiving a full ride to Carnegie Mellon to study computer science, and the deep learning neural network research he now leads at Stanford.Check Allstate first for a quote that could save you hundreds: https://www.allstate.com/Head to turbotax.com to find a store location near you and get matched with a TurboTax expert — with real-time updates in the iOS app.This episode is sponsored by AppleTV. Learn more at: https://tinyurl.com/mr2caw2cSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

David Sussillo is a neuroscientist, technologist, and author of Emergence: A Memoir of Boyhood, Computation, and the Mysteries of Mind. Kate first met David when they were classmates at the Milton Hershey School in Hershey, Pennsylvania. David has made a career at the cutting edge of neuroscience and technology, yet his path there was anything but a straight line. Born to drug-addicted parents in New Mexico, he navigated a childhood marked by violence and neglect. But a seed was planted at the unlikeliest of places—the local arcade. What follows is a remarkable journey of resilience and transformation, from the chaotic corridors of group homes to the halls of Columbia and Stanford. Along the way, Sussillo takes readers on an illuminating tour of the century-long dance between neuroscience, physics, and computation that has laid the groundwork for neural networks—the technology that drives modern artificial intelligence. As he advances in the field, working to demystify these networks, he also begins to pursue an answer to a more personal question: why, and how, did he succeed against all odds? Reality Life with Kate Casey What to Watch List: https://katecasey.substack.com Patreon: http://www.patreon.com/katecasey Twitter: https://twitter.com/katecasey Instagram: http://www.instagram.com/katecaseyca Tik Tok: https://www.tiktok.com/@itskatecasey?lang=en Facebook Group: https://www.facebook.com/groups/113157919338245 Amazon List: https://www.amazon.com/shop/katecasey Like it to Know It: https://www.shopltk.com/explore/katecaseySee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

“I can point to things. But is that a systemic explanation? I think there the answer is a little less clear. I mean, surely people need love and all of that, but then there's this risk of just devolving into platitude.” — David SussilloDavid Sussillo is a big time neural reverse engineer. The Stanford brain scientist worked at Google Brain with Geoffrey Hinton, and now is at Meta Reality Labs. What distinguishes Sussillo, however, is not his Silicon Valley good luck, but the bad luck of his origins. In his memoir, Emergent: A Memoir of Boyhood, Computation, and the Mysteries of the Mind, Sussillo begins at the Albuquerque Christian Children's Home — a modern-day orphanage — and the Milton Hershey School, the boarding school endowed by the chocolate magnate for kids with nowhere else to go. Both his parents were addicts. His mom died young. His dad spent his life as an untrained preacher ministering to homeless people on the streets of Albuquerque while managing a lifelong heroin habit.The book's thesis borrows from the science he studies: “emergence” — simple things interacting to produce complex behaviour that none of them could produce alone. His life is both proof of and a challenge to this concept. He made it out. Most of the kids he grew up with didn't. He can point to moments — a gifted-and-talented test in third grade, an aunt and uncle's intervention at nine, a first love in college — but he can't build an explanatory system from these haphazard events. The Sussillo quilt doesn't have an innate pattern. It just has patches.What makes Sussillo unusual as a memoirist is his refusal to sentimentalise. Twenty years of psychotherapy, he confesses, has taught him something most authors never learn: that understanding your own story doesn't mean you've explained it. His science can't explain his childhood either. “The big dirty secret of neuroscience,” he says, “is that we don't really understand much in the ways that people would love us to understand.” The man who reverse-engineers neural networks can't reverse-engineer himself.I asked him whether having children would have been harder than writing the book. Yes, he said. With the book, you can take a break. With kids, you relive things through a very specific way of relating. He and his wife chose not to. His mentors all told him he'd have been great at it. He's not so sure. That honesty — the willingness to say “I don't know” and mean it — runs through everything Sussillo does. He says he's happy, claiming to have found peace with his past. But he still carries the baggage. Who wouldn't? He's just learned to manage it. Emergent, not emerged. Five Takeaways•       From Orphanage to Google Brain: Both parents were heroin addicts. Sussillo grew up in a modern-day orphanage in Albuquerque and then the Milton Hershey School. He went on to work at Google Brain with Geoffrey Hinton, now works at Meta Reality Labs, teaches at Stanford. Most of the kids he grew up with didn't make it.•       Emergence as Autobiography: The book's thesis borrows from the science he studies: simple pieces combining into complicated outcomes. His life is the proof of concept and the counter-example simultaneously. The quilt doesn't have a pattern. It just has patches.•       The Dirty Secret of Neuroscience: The man who reverse-engineers neural networks can't reverse-engineer himself. “We don't really understand much in the ways that people would love us to understand.” Twenty years of therapy taught him more than the science.•       Would Kids Have Been Harder Than the Book? Yes. With the book, you can take a break. With kids, you relive trauma through a very specific way of relating. He and his wife chose not to have children. His mentors told him he'd have been great at it. He's not so sure.•       Emergent, Not Emerged: Sussillo has found peace with his past. He's happy. He still carries the baggage from his childhood. He's just learned how to manage it. The emergence is ongoing. About the GuestDavid Sussillo is a research scientist at Meta Reality Labs and a consulting professor at Stanford University. He previously worked at Google Brain. His memoir is Emergent: A Memoir of Boyhood, Computation, and the Mysteries of the Mind. He grew up in the Albuquerque Christian Children's Home and the Milton Hershey School. He lives in New Mexico.References:•       Emergent: A Memoir of Boyhood, Computation, and the Mysteries of the Mind by David Sussillo — the book under discussion.•       The Albuquerque Christian Children's Home — the group home where Sussillo spent five years of his childhood.•       The Milton Hershey School — founded in 1906 by the Hershey chocolate magnate for children with nowhere else to go. Sussillo spent four years there.•       Google Brain — the lab where Sussillo worked alongside Geoffrey Hinton on the neural network research that became the foundation of modern AI.•       John Conway's Game of Life — the cellular automaton simulation Sussillo cites as an early example of emergence: complicated outcomes from simple rules.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:(00:00) - Introduction (01:30) - The Albuquerque Christian Children's Home and Milton Hershey School (03:30) - Why write a memoir? Five years and twenty years of therapy (05:00) - Heroin-addicted parents: the origin story (08:00) - A father as untrained preacher on the streets of Albuquerque (10:00) - Which parent had more impact? (12:00) - The gifted-and-talented test that changed everything (15:00) - From Milton Hershey to Carnegie Mellon: the jump (18:00) - Life falls apart at 23: panic attacks and psychotherapy (21:00) - Neural networks, Google Brain, and the dirty secret of neuroscience (25:00) - Would having kids have been harder than writing the book? (28:00) - The Albanian friend and the beach: what America gets right (31:00) - Silicon...

Architects from Herzog & de Meuron, Foster + Partners and Zaha Hadid Architects discuss how AI is entering the design studio, from generative design tools to new workflows shaping the future of practice.*This episode is supported by Chaos Group, and features a short conversation with the company's Head of Product Operations, Roderick Bates. Chaos develops visualization technologies that empower artists & designers to create photorealistic imagery and animation across all creative industries.*Shajay Bhooshan is a Senior Associate at Zaha Hadid Architects, where he co-founded the Computation and Design research group (ZHCODE). His work bridges computational geometry, structural thinking, and robotic fabrication—enabling new forms and processes that extend the architectural imagination.Michael Drobnik is an Associate at Herzog & de Meuron, where he leads the Design Technologies team. His work focuses on integrating digital tools and data-driven strategies into the creative and technical development of some of the world's most significant architectural projects.Martha Tsigkari is a Senior Partner at Foster + Partners, leading their Applied Research and Development group. Her team explores computational design, machine learning, and performance-driven optimization. She brings deep expertise in integrating emerging technologies into large-scale, real-world projects.Outro music is by Lil InternetScaffold is an Architecture Foundation production, hosted by Matthew Blunderfield. Download the London Architecture Guide App via the App Store or Google PlayBecome an Architecture Foundation Patreon member and be a part of a growing coalition of architects and built environment professionals supporting our vital and independent work. Hosted on Acast. See acast.com/privacy for more information.

We're joined by N. Katherine Hayles, Distinguished Research Professor in English at UCLA, to think through cognition in the broadest and most scaled sense. Hayles is among the foundational thinkers of posthumanism in its Anglophone register, and this conversation tracks her intellectual trajectory from the question of how we became posthuman to her most recent project: an integrated cognitive framework that extends from bacteria to AI. The opening provocation is one she has been developing since large language models appeared as a genuinely literary phenomenon, the claim that LLMs do not speak natural language but produce a computational simulation of it.The umwelt of an LLM (its 'operative world-horizon,' in Uexküll's sense) overlaps with the human umwelt enough for communication to occur, but the divergences are large and consequential. This leads to the question of cognition itself. Against definitions that make consciousness the threshold of cognitive status, Hayles proposes the SIEPAL framework: Sensing, Interpreting, Responding, Anticipating, Learning, under which bacteria, algorithms, and ecosystems all qualify as cognitive. The non-conscious, on this account, isn't pre-cognitive but is in many ways more cognitively capable: faster, closer to environmental noise, less committed to the narratives of coherence that consciousness requires.The final section breaks genuinely new ground with Hayles's turn to analog computation: the argument that digital computation is a historical blip, that biological life has always operated on analog principles, and that the future of computation (neuromorphic chips, organoid computers, hybrid analog-digital architectures) represents not a departure from but a return to what life has always done. She proposes the analog humanities as a corrective to digital humanities, and the computational humanities as the synthesis that might finally close the gap between biological and technological cognition. This one is very much worth enjoying in dialogue with our previous epsiode on the digital.Some references:N. Katherine HaylesHow We Became Posthuman: Virtual Bodies in Cybernetics, Literature, and Informatics, University of Chicago Press, 1999Writing Machines, MIT Press, 2002Unthought: The Power of the Cognitive Nonconscious, University of Chicago Press, 2017Postprint: Books and Becoming Computational, Columbia University Press, 2021Bacteria to AI: Cognition Across Scales (referenced as new/recent book)Leif WeatherbyLanguage Machines: Cultural AI and the End of Remainder Humanism, University of Minnesota Press, 2025Jakob von Uexküll — concept of the Umwelt; the species-specific world-horizon generated through particular sensory and neurological capacitiesWalter FreemanHow Brains Make Up Their Minds, Columbia University Press, 1999 — on EEG waves as the mediating mechanism between individual neurons and global hemispheric activation; the rabbit olfactory system experimentsGregory Bateson — on systems that lose the ability to receive feedback collapsing; referenced without specific title (e.g. Steps to an Ecology of Mind, 1972)Peter Haff — the technosphereStuart Kauffman & Giuseppe Longo, for arguing that biological organisms cannot be mapped into phase space and always follow the adjacent possibleWarren McCulloch & Walter Pitts — the McCulloch-Pitts neuron as a binary model with analog processes underlying the firing thresholdBernd Ulmann — here referenced as an expert on analog computing who argues that continuity vs. discreteness is a secondary rather than primary distinction between analog and digital

Order Shroud-PilledOrder God's Eye View: https://a.co/d/7CI89rvBuy the Audiobook: https://www.audible.com/pd/Gods-Eye-View-Audiobook/B0F55K2GT1?source_code=ASSGB149080119000H&share_location=pdpWant to publish a book? Check out my publisher https://hemisphericpress.com/Check out our ad free substack: https://hemisphericpress.substack.com/Email feedback to godseyeviewbook@gmail.com

We're joined by the four authors of *Digital Theory* — M. Beatrice Fazi, Alexander R. Galloway, Matthew Handelman, and Leif Weatherby — for a roundtable on their new collaborative work.Digital Theory (University of Minnesota Press, 2025) makes a deceptively simple but far-reaching claim: the digital is theoretical. Not in the sense that we theorize about it, but that digitality itself — mediation through discrete units — is a condition for thinking as such.Just to get it out of the way, listeners to the pod know that these four thinkers need no introduction. This is literally the cohort that we've held in our minds over the past few years (there's probably nobody whose shaped our brains as formatively on this subject than Alexander Galloway, whose writing was the subject of Marek's en route masters thesis and the first PDF sent between Marek and Roberto). The conversation opens up a series of productive disagreements within the group. What's the relationship between the digital and computation? For Fazi, the digital is discretization — "the cut" — while computation is systematization, building, constructing. This distinction allows the book to think the digital before and beyond the computer, back to proto-writing tokens and forward to whatever comes next. A major target here is what Galloway calls "analog philosophy," the dominant strain of theory over the last few decades that privileges affect, sensation, intensity, immanence. Deleuze is named directly as the great philosopher of the analog: obsessed with the fold, hostile to structuralism, drawn to "a language of breaths and screams." The authors aren't throwing Deleuze overboard entirely (to them the "Postscript on the Societies of Control" still hits) but they're skeptical that his ontology can account for digital technology as a form of thought. REFERENCES:*Digital Theory* (In Search of Media series), University of Minnesota Press, 2025 https://www.upress.umn.edu/9781517920197/digital-theory/M. Beatrice Fazi - *Contingent Computation: Abstraction, Experience, and Indeterminacy in Computational Aesthetics*, Rowman & Littlefield, 2018 https://rowman.com/ISBN/9781786606082/Contingent-Computation-Abstraction-Experience-and-Indeterminacy-in-Computational-AestheticsAlexander R. Galloway - *Uncomputable: Play and Politics in the Long Digital Age*, Verso, 2021 https://www.versobooks.com/products/2656-uncomputable - "Golden Age of Analog," *Critical Inquiry* 48, no. 2 (2022) https://www.journals.uchicago.edu/doi/abs/10.1086/717324 - Galloway's website and blog https://cultureandcommunication.org/galloway/Matthew Handelman - *The Mathematical Imagination: On the Origins and Promise of Critical Theory*, Fordham University Press, 2019 https://www.fordhampress.com/9780823283842/the-mathematical-imagination/Leif Weatherby - *Language Machines: Cultural AI and the End of Remainder Humanism*, University of Minnesota Press, 2025 https://www.upress.umn.edu/book-division/books/language-machines (our book of the year, for what it's worth) - *Transplanting the Metaphysical Organ: German Romanticism between Leibniz and Marx*, Fordham University Press, 2016 - Digital Theory Lab at NYU https://as.nyu.edu/faculty/leif-allison-reid-weatherby.htmlSome References Discussed:Gilles Deleuze, "Postscript on the Societies of Control" (1992)Theodor Adorno & Max Horkheimer, *Dialectic of Enlightenment*Euclid, *Elements*, Book V (on analog/logos)Jacques Lacan, *Seminar II: The Ego in Freud's Theory and in the Technique of Psychoanalysis* (on cybernetics)François Laruelle and Alain Badiou, on the genericEve Tuck, "Breaking Up with Deleuze"Hito Steyerl, "How Not to Be Seen: A Fucking Didactic Educational .MOV File" (2013)

In this second part of our conversation with CERN & LHC particle physicist and UC Irvine professor of physics and astronomy Daniel Whiteson, we move from abstract questions to concrete examples, asking what electricity, magnetism, and light might actually be doing in the physical world. Rather than treating forces as symbols in equations, we explore whether they can be understood as real interactions, actions, or material processes unfolding beneath the math. The discussion ranges from fields and particles to emergence, scale, and why so many explanations stop just short of physical clarity. We are trying to picture what's happening when the universe acts, while refusing to let understanding end where calculation succeeds.Part 1: https://youtu.be/om2k1BeASAsPATREON 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! From Meaning to Mechanism00:04:17 Understanding Materialism & Its History00:08:54 Intuition, Math, & Material Reality00:13:01 Determinism, Computation, and Time00:19:44 Accuracy, Correctness, and Competing Models00:25:43 Emergence, Scale, & Effective Laws00:30:09 Physics, Meaning, & What Lies Outside Models00:34:01 Objects, Surfaces, & Physical Interaction00:38:13 Are Particles Actions Rather Than Things?00:42:38 Intuition, Surprise, & Scientific Discovery00:46:04 Philosophy, Wonder, & the Role of Explanation00:51:09 History, Models, & Scientific Humility00:56:15 Storytelling & How Science Makes Sense of Reality01:03:01 How New Ideas Actually Gain Acceptance01:06:02 Material Models, Black Bodies, & Light01:09:05 Closing Reflections & Future Questions#physics, #quantumphysics, #particlephysics , #meaning, #understanding, #questions, #thinking, #curiosity, #howthingswork, #ideas, #explanation, #universe, #light, #energy, #physicspodcast, #philosophypodcast 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

We chat with Paul Snively (https://x.com/JustDeezGuy) about how Functional Programming has gone mainstream.Resources- Winter Tech Forum - https://www.wintertechforum.com- Paul Snively's LambdaConf Talk on Verse - https://www.youtube.com/watch?v=VBT0j14rn5c- Paul Snively's Blog Post on the Verse Calculus - https://paul-snively.github.io/posts/2022-12-15-verse-calculus.html- Eugenio Moggi, "Notions of Computation and Monads" (1991) - https://www.cs.cmu.edu/~crary/819-f09/Moggi91.pdf- "Implementing Lazy Functional Languages on Stock Hardware: The Spineless Tagless G-machine"** by Simon Peyton Jones - https://www.microsoft.com/en-us/research/wp-content/uploads/1992/04/spineless-tagless-gmachine.pdf- The Verse Calculus Paper - https://simon.peytonjones.org/verse-calculus/- "How to Solve It" by George Pólya - https://press.princeton.edu/books/paperback/9780691164076/how-to-solve-it- Fidelity Framework - https://github.com/FidelityFramework- Happy Path Programming Episode #37 from Aug 14, 2021 "The Future of Everything with Paul Snively" - https://open.spotify.com/episode/62iyGUUwh5CBkxkDpJmUuoDiscuss this episode: https://discord.gg/XVKD2uPKyF

Support the show to get full episodes, full archive, and join the Discord community. The Transmitter is an online publication that aims to deliver useful information, insights and tools to build bridges across neuroscience and advance research. Visit thetransmitter.org to explore the latest neuroscience news and perspectives, written by journalists and scientists. Read more about our partnership. Sign up for Brain Inspired email alerts to be notified every time a new Brain Inspired episode is released. To explore more neuroscience news and perspectives, visit thetransmitter.org. Alex is an associate professor of psychology at Vanderbilt University where he heads the Maier Lab. His work in neuroscience spans vision, visual perception, and cognition, studying the neurophysiology of cortical columns, and other related topics. Today, he is here to discuss where his focus has shifted over the past few years, the neuroscience of consciousness. I should say shifted back, since that was his original love, which you'll hear about. I've known Alex since my own time at Vanderbilt, where I was a postdoc and he was a new faculty member, and I remember being impressed with him then. I was at a talk he gave - job talk or early talk - where it was immediately obvious how passionate and articulate he is about what he does, and I remember he even showed off some of his telescope photography - good pictures of the moon, I remember. Anyway, we always had fun interactions, even if sometimes it was a quick hello as he ran up stairs and down hallways to get wherever he was going, always in a hurry. Today we discuss why Alex sees integration information theory as the most viable current prospect for explaining consciousness. That is mainly because IIT has developed a formalized mathematical account that hopes to do for consciousness what other math has done for physics, that is, give us what we know as laws of nature. So basically our discussion revolves around everything related to that, like philosophy of science, distinguishing mathematics from "the mathematical", some of the tools he is finding valuable, like category theory, and some of his work measuring the level of consciousness IIT says a whole soccer team has, not just the individuals that comprise the team. Maier Lab Astonishing Hypothesis (Alex's youtube channel) Twitter: Sensation and Perception textbook (in-the-making) Related papers Linking the Structure of Neuronal Mechanisms to the Structure of Qualia Information integration and the latent consciousness of human groups Neural mechanisms of predictive processing: a collaborative community experiment through the OpenScope program Various things Alex mentioned: “An Antiphilosophy of Mathematics,” Peter J. Freyd youtube video about "the mathematical". David Kaiser's playlist on modern physics. 0:00 - Intro 4:27 - Discovering consciousness science 11:23 - Laws of perception 15:48 - Integrated information theory and mathematical formalism 23:54 - Theories of consciousness without math 28:18 - Computation metaphor 34:44 - Formalized mathematics is the way 36:56 - Category theory 41:42 - Structuralism 51:09 - The mathematical 54:33 - Metaphysics of the mathematical 59:52 - Yoneda Lemma 1:12:05 - What's real 1:26:22 - Measuring consciousness of a soccer team 1:35:03 - Assumptions and approximations of IIT 1:43:13 - Open science

Stephen Wolfram answers general questions from his viewers about science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaTopics: Information, data and bits - Computation, energy and Infrastructure - How clones and machines might perceive humans - Mass, the Higgs field and the speed of light

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.

Dr. Avi Loeb visits for the 4th time -- this time around the sun to discuss 3I/Atlas, the 3rd, and most notable interstellar object observed in our galaxy. Anomaly, "Dark Comet", or Alien Intelligence? The World is watching. You decide!In addition to audio, you can now watch the episode on The Signal Network channel on Youtube.BIOAbraham (Avi) Loeb is the Frank B. Baird, Jr., Professor of Science at Harvard University and a bestselling author (featured in the New York Times, Wall Street Journal, Publishers Weekly, Die Zeit, Der Spiegel, L'Express, and more). He earned his PhD in Physics from the Hebrew University of Jerusalem at age 24, led the first international project supported by the Strategic Defense Initiative, and was a long-term member of the Institute for Advanced Study at Princeton. Dr. Loeb has written 9 books, including Extraterrestrial and Interstellar, and published over a thousand papers on black holes, the first stars, extraterrestrial life, and the future of the Universe. Loeb directs the Institute for Theory and Computation at the Harvard-Smithsonian Center for Astrophysics and heads the Galileo Project. He was the longest-serving Chair of Harvard's Astronomy Department and founding director of the Black Hole Initiative. Loeb is a fellow of the American Academy of Arts & Sciences, the American Physical Society, and the International Academy of Astronautics. He has served on the President's Council of Advisors on Science and Technology, chaired the Board on Physics and Astronomy of the National Academies, and currently advises “Einstein: Visualize the Impossible” at the Hebrew University. He also chaired the Breakthrough Starshot Initiative and directed theory for the Breakthrough Prize Foundation. His latest TED talk ranked among the ten most popular of 2024.Professional website: https://www.cfa.harvard.edu/~loeb/$10 Afraid of Nothing merch - and more - at the Afraid of Nothing Shopify store. Visit afraidofnothingpodcast.com or use this url:https://www.afraidofnothingpodcast.com/p/shopify-store/Never be afraid to look good and have cool merch! Support the showSUPPORT THE PODCAST NEW: SHOP OUR STORE ON SHOPIFY!Never Be Afraid to Look Good at https://383e86-d1.myshopify.com/.FOLLOW/SUBSCRIBE/REVIEW...On our website at afraidofnothingpodcast.com.SUBSCRIBE...Your gracious donation here helps defray production costs. Beyond my undying gratitude, you will also will be shouted out in an upcoming episode.WATCH ON YOUTUBE...We are uploading past episodes on our Youtube channel. WATCH THE DOC… VIMEO ON DEMAND: Rent the Afraid of Nothing documentary here: https://vimeo.com/ondemand/aondoc. TUBI: watch for free with ads on tubitv.com. REVIEW OUR FILM ON ROTTEN TOMATOES...Write your five-star review here.

Platonic Computation and the Dodleston Messages with Simon Duan Simon Duan came from China to the United Kingdom in the 1980s, where he earned a PhD in materials science from Cambridge University. He is a past Vice President of the Chinese Parapsychology Association and the founder and CEO of Metacomputics Labs, which researches a postmaterialist paradigm unifying consciousness, mind, and matter. Duan developed the hypothesis known as Platonic computation, argued to provide the strongest available explanation for the controversial Dodleston Messages case, if the case is genuine. Simon Duan discusses his hypothesis of Platonic computation, a postmaterialist model proposing that consciousness, mind, and matter emerge from a deeper non-physical realm of forms. He explains how this framework may illuminate the enigmatic Dodleston Messages, a decades-old case involving anomalous communications that appear to originate from both the past and the future. Duan explores how higher-level layers of reality, intelligence, and information processing could account for the extraordinary features of this controversial paranormal episode. New Thinking Allowed host, Jeffrey Mishlove, PhD, is author of The Roots of Consciousness, Psi Development Systems, and The PK Man. Between 1986 and 2002 he hosted and co-produced the original Thinking Allowed public television series. He is the recipient of the only doctoral diploma in “parapsychology” ever awarded by an accredited university (University of California, Berkeley, 1980). He is also the Grand Prize winner of the 2021 Bigelow Institute essay competition regarding the best evidence for survival of human consciousness after permanent bodily death. He is Co-Director of Parapsychology Education at the California Institute for Human Science. (Recorded on November 16, 2025) For a short video on How to Get the Most From New Thinking Allowed, go to https://youtu.be/aVbfPFGxv9o For a complete, updated list with links to all of our videos, see https://newthinkingallowed.com/Listings.htm. Check out the New Thinking Allowed Foundation website at http://www.newthinkingallowed.org. There you will find our incredible, searchable database as well as opportunities to shop and to support our video productions – plus, this is where people can subscribe to our FREE, weekly Newsletter and can download a FREE .pdf copy of our quarterly magazine. To order high-quality, printed copies of our quarterly magazine: NTA-Magazine.MagCloud.com Check out New Thinking Allowed’s AI chatbot. You can create a free account at awakin.ai/open/jeffreymishlove. When you enter the space, you will see that our chatbot is one of several you can interact with. While it is still a work in progress, it has been trained on 1,600 NTA transcripts. It can provide intelligent answers about the contents of our interviews. It’s almost like having a conversation with Jeffrey Mishlove. If you would like to join our team of volunteers, helping to promote the New Thinking Allowed YouTube channel on social media, editing and translating videos, creating short video trailers based on our interviews, helping to upgrade our website, or contributing in other ways (we may not even have thought of), please send an email to friends@newthinkingallowed.com. To join the NTA Psi Experience Community on Facebook, see https://www.facebook.com/groups/1953031791426543/ To download and listen to audio versions of the New Thinking Allowed videos, please visit our new podcast at https://itunes.apple.com/us/podcast/new-thinking-allowed-audio-podcast/id1435178031. Download and read Jeffrey Mishlove’s Grand Prize essay in the Bigelow Institute competition, Beyond the Brain: The Survival of Human Consciousness After Permanent Bodily Death, go to https://www.bigelowinstitute.org/docs/1st.pdf. You can help support our video productions while enjoying a good book. To order a copy of New Thinking Allowed Dialogues: Is There Life After Death? click on https://amzn.to/3LzLA7Y (As an Amazon Associate we earn from qualifying purchases.) To order the second book in the New Thinking Allowed Dialogues series, Russell Targ: Ninety Years of ESP, Remote Viewing, and Timeless Awareness, go to https://amzn.to/4aw2iyr To order a copy of New Thinking Allowed Dialogues: UFOs and UAP – Are We Really Alone?, go to https://amzn.to/3Y0VOVh

Raghav Malik, has just defended his PhD on the topic of compilers for privacy-preserving computation, and that's a good chunk of our conversation. He has also spent some years in grad school going down the rabbit hole to actually learn Category Theory in depth and from first principles, so I was deieing to ask him if category theory is really all that to learn the foundations of PL. In other words, does learning category theory really make you a better PL researcher? Then, of course, I wouldn't finish this episode without asking him how he coped with Mental Health during his PhD Journey. Links Raghav's Website TTFA Patreon TTFA Merch Store TTFA Ko-Fi

The AI revolution of the past few years is built on brain-inspired neural network models originally developed to study our own minds. The question is, what should we make of the fact that our own rich mental lives are built on the same foundations as the seemingly soulless chat-bots we now interact with on a daily basis?Our guest this week is Stanford cognitive scientist Jay McClelland, who has been a leading figure in this field since the 1980s, when he developed some of the first of these artificial neural network models. Now McClelland has a new book, co-authored with SF State University computational neuroscientist Gaurav Suri, called "The Emergent Mind: How Intelligence Arises in People and Machines." We spoke with McClelland about the entangled history of neuroscience and AI, and whether the theory of the emergent mind described in the book can help us better understand ourselves and our relationship with the technology we've created.Learn More New book sheds light on human and machine intelligence | Stanford ReportHow Intelligence – Both Human and Artificial – Happens | KQED Forum From Brain to Machine: The Unexpected Journey of Neural Networks | Stanford HAIWu Tsai Neuro's Center for Mind, Brain, Computation and TechnologyMcClelland, J. L. & Rumelhart, D. E. (1981). An interactive activation model of context effects in letter perception: Part 1. An account of basic findings. Psychological Review, 88, 375-407. [PDF]Rumelhart, D. E., McClelland, J. L., & the PDP research group. (1986). Parallel distributed processing: Explorations in the microstructure of cognition. Volumes I & II. Cambridge, MA: MIT Press.McClelland, J. L. & Rogers, T. T. (2003). The parallel distributed processing approach to semantic cognition. Nature Reviews Neuroscience, 4, 310-322. [PDF]McClelland, J. L., Hill, F., Rudolph, M., Baldridge, J., & Schuetze, H. (2020). Placing language in and integrated understanding system: Next steps toward human-level performance in neural language models. Proceedings of the National Academy of Sciences, 117(42), 25966-25974. [Send us a text!Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience. We want to hear from your neurons! Email us at at neuronspodcast@stanford.edu Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn.

Our Top 10 for today: #PakitaNgComputation

Newt talks with Professor Avi Loeb about the latest news on 3I/ATLAS, the third interstellar object discovered passing through our solar system. Loeb highlights its unusual characteristics and the possibility of it being a technological artifact rather than a natural object. He emphasizes the importance of scientific curiosity and the need for academia to embrace risk-taking and exploration beyond conventional boundaries. He advocates for a broader search for intelligent life in the universe, suggesting that the discovery of alien technology could significantly alter human priorities and investments in space exploration. Their conversation also touches on the cultural and institutional challenges within the scientific community, urging a shift towards a more open-minded and exploratory approach to science. He concludes with a reflection on the potential of science to inspire and engage the public, particularly the younger generation. Avi Loeb is the Frank B. Baird, Jr., Professor of Science at Harvard University. He serves as Director of the Institute for Theory and Computation within the Harvard-Smithsonian Center for Astrophysics and also heads the Galileo Project. His blog about 3I/ATLAS is avi-loeb.medium.comSee omnystudio.com/listener for privacy information.

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaTopics discussed: How alien life would affect science - Probability and the origins of life - Computation, encoded intelligence and simulated models of civilizations - Alien math class

Dare to Dream with Debbi Dachinger DANNY GOLER: Cracking the Code of Reality: Consciousness, Computation, and the God Equation Podcast Highlights: -Cognitive Physics emerge as a bridge between science and spirit? -Is the universe a simulation or a sentient thought? -Can science and spirituality finally speak the same language? -What role do we play in coding the next version of reality itself? Guest Resources https://www.codeofreality.com/ Researcher Danny Goler reveals how consciousness might be the physics of the universe — a living code where mind, matter, and divinity converge. Deep, revelatory, and paradigm-shifting insights that blend science, philosophy, and spirituality.

Podcast Highlights: 1) Cognitive Physics emerge as a bridge between science and spirit? 2) Is the universe a simulation or a sentient thought? 3) Can science and spirituality finally speak the same language? 4) What role do we play in coding the next version of reality itself?

The time has come for Vaden to defend his faith in the face of cold, hard scientific rationality. Will AI take over the world, automating away everything that makes humans distinct? Or can Vaden defend the church of just-ism, the radical belief that AI is simply "just a tool." Scott Aaronson, professor of computer science at UT Austin, goes to head to head against the zealotry. Check out Scott's website (https://www.scottaaronson.com/) and his blog, Shtetl Optimized (https://scottaaronson.blog/). We discuss Scott view's on education. Should we radically reform K-12? Is ChatGPT changing Scott's approach to teaching The religion of "justa-ism" Is AI just a tool? Is there any principle which lets us say that AI won't be as general as humans? Aaronson's thesis of Artificial Intelligence Computational universality vs explanatory universality The many-worlds interpretation of quantum mechanics Socials Follow us on Twitter at @IncrementsPod, @BennyChugg, @VadenMasrani Come join our discord server! DM us on twitter or send us an email to get a supersecret link Become a patreon subscriber here (https://www.patreon.com/Increments). Or give us one-time cash donations to help cover our lack of cash donations here (https://ko-fi.com/increments). Click dem like buttons on youtube (https://www.youtube.com/channel/UC_4wZzQyoW4s4ZuE4FY9DQQ) Have you been converted? Tell us at incrementspodcast@gmail.com Special Guest: Scott Aaronson.

How exactly does the mind work? How do we learn and make decisions? And how does that compare to the way AI thinks? In their new book, “The Emergent Mind: How Intelligence Arises in People and Machines,” San Francisco State psychologist Gaurav Suri and Stanford's Jay McClelland examine how neural networks work in our brains, and in AI. Guests: Gaurav Suri, computational neuroscientist and professor, San Francisco State University Jay McClelland, professor and director of the Center for Mind, Brain, Computation and Technology, Stanford University Learn more about your ad choices. Visit megaphone.fm/adchoices

Computation is killing the wet lab—and reshaping enzyme innovation in the process. Maria Fátima Lucas, CEO of ZYMVOL, shares how AI and physics-based simulation shrink enzyme discovery from 100 million sequence variants to fewer than 300 lab-tested hits—cutting timelines, risk, and cost by orders of magnitude.In this episode, Maria unpacks how ZYMVOL is making biocatalysis not just greener, but cheaper and faster—bringing clean chemistry to sectors previously priced out. From Europe's regulatory drivers to a bold product pivot into bio-based melanin, this is a rare look inside a deeptech company scaling with precision, not hype.Tune in for a fresh look at building ventures that last, not just raise.--- Hey Climate Tech enthusiasts! Searching for new podcasts on sustainability? Check out the Leaders on a Mission podcast, where I interview climate tech leaders who are shaking up the industry and bringing us the next big thing in sustainable solutions. Join me for a deep dive into the future of green innovation exploring the highs, lows, and everything in between of pioneering new technologies.Get an exclusive insight into how these leaders started up their journey, and how their cutting edge products will make a real impact.Tune in on…YouTube: https://www.youtube.com/@leadersonamissionNet0Spotify: https://open.spotify.com/show/7o41ubdkzChAzD9C53xH82Apple Podcasts: https://podcasts.apple.com/us/podcast/leaders-on-a-mission/id1532211726…to listen to the latest episodes!Timestamps:00:00 – Clean chemistry = mission02:41 – From pharma to enzymes05:07 – Bootstrapping for 6 years07:03 – AI + physics workflow10:55 – Why cost always wins11:15 – Regulatory bans as tailwind14:52 – End-to-end solution model19:31 – First hits in 3 months23:47 – Enzyme marketplace vision28:42 – Bio-melanin case study35:24 – Fundraising and futureUseful links: ZYMVOL  website: https://zymvol.com/ZYMVOL LinkedIn: https://www.linkedin.com/company/zymvol/Maria Fatima Lucas LinkedIn: https://www.linkedin.com/in/fatimalucas/Leaders on a Mission website: https://cs-partners.net/podcasts/Simon Leich's LinkedIn: https://www.linkedin.com/in/executive-talent-headhunter-agtech-foodtech-agrifoodtech-agritech/

Stephen Wolfram answers questions from his viewers about the history of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaTopics: Computation in antiquity to early machines - Computation and physical reality - Historical attitudes toward computing and AI - Cantor, continuum and computability - Automata in history & fiction - How scientists are remembered - Exploring science's landmarks

When does comedy become more than a laugh? Ben Mangrum of MIT joins RtB to discuss his new book, The Comedy of Computation: Or, How I Learned to Stop Worrying and Love Obsolescence (Stanford UP, 2025), which in some ways is organized around “the intriguing idea that human knowledge work is our definitive feature and yet the machines we are ourselves made are going to replace us at it.” Comedy has provided a toolbox (Charles Tilly calls them "collective repertoires") for responding to the looming obsolescence of knowledge workers.John's interest in Menippean satire within science fiction leads him to ask about about the sliding meanings of comedy and its pachinko machine capacity; he loves the way Ben uses the word and concept of doubling,; Ben explains how the computer may either queer (in an antisocial way) or get assimilated into romantic heteronormative pairings. John asks about Donna Haraway's 1985 A Cyborg Manifesto and teh way it denaturalizes gender roles and the way new technological affordances (from the Acheulean axe that Malafouris discusses to the Apple watch) redefine human roles. Ben delves into the minstrelsy pre-history of the photo-robots going as far back as the late 19th century. They unpack the distinctively American Leo Marxian optimism of The Machine in the Garden (1964) that spreads back as far as the proto-robots like The Steam Man of the Prairies(1868) and good old Tik-Tok in the Wizard of Oz novels. John asks about double-edged nature of Ben's claim that comic “genericity provides forms for making a computationally mediated social world seem more habitable, even as it also provides Is for criticizing and objecting to that world." First you get description says Ben--and then sometimes critique. John asks about the iterability of the new: how much of what seems new actually New New (in the sense of that great 1999 Michael Lewis book, The New New Thing)? Mentioned in the episode: The Desk Set a play William Marchand and a movie starring Katherine Hepburn. How might a computer be incorporated into the sociability of a couple? Her (Spike Jonze,, 2013) computer meets human makes the rom-com into a coupling machine. WarGames (1983( ends with Matthew Broderick and Ally Sheedy (not Ione Skye—silly John!) paired. But also with Broderick and the formerly deadly computer settling down to “how about a nice game of chess”? Black Mirror as the 2020's version of the same dark satire as the 1950's Twilight Zone. John asks about Stanislaw Lem's Cyberiad, and the comic coupling of Kirk and Spock and the death-as-computer comedy of Douglas Adam's Hitchhiker's Guide to the Galaxy (1979). Leo Marx, The Machine in the Garden (1964). Dave Eggers: the joke structure as critique in The Circle and The Every. John Saybrook wrote in the New Yorker about an eye-opening conversation with Bill Gates in 1994. Istvan Csicsery-Ronay's Seven Beauties of Science Fiction on the “fictionalization of everyday life" Recallable Books: Elif Batuman The Idiot (2017) Richard Powers, Plowing the Dark (2000) Sally Rooney, Conversations with Friends (2017) Listen and Read here. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

When does comedy become more than a laugh? Ben Mangrum of MIT joins RtB to discuss his new book, The Comedy of Computation: Or, How I Learned to Stop Worrying and Love Obsolescence (Stanford UP, 2025), which in some ways is organized around “the intriguing idea that human knowledge work is our definitive feature and yet the machines we are ourselves made are going to replace us at it.” Comedy has provided a toolbox (Charles Tilly calls them "collective repertoires") for responding to the looming obsolescence of knowledge workers.John's interest in Menippean satire within science fiction leads him to ask about about the sliding meanings of comedy and its pachinko machine capacity; he loves the way Ben uses the word and concept of doubling,; Ben explains how the computer may either queer (in an antisocial way) or get assimilated into romantic heteronormative pairings. John asks about Donna Haraway's 1985 A Cyborg Manifesto and teh way it denaturalizes gender roles and the way new technological affordances (from the Acheulean axe that Malafouris discusses to the Apple watch) redefine human roles. Ben delves into the minstrelsy pre-history of the photo-robots going as far back as the late 19th century. They unpack the distinctively American Leo Marxian optimism of The Machine in the Garden (1964) that spreads back as far as the proto-robots like The Steam Man of the Prairies(1868) and good old Tik-Tok in the Wizard of Oz novels. John asks about double-edged nature of Ben's claim that comic “genericity provides forms for making a computationally mediated social world seem more habitable, even as it also provides Is for criticizing and objecting to that world." First you get description says Ben--and then sometimes critique. John asks about the iterability of the new: how much of what seems new actually New New (in the sense of that great 1999 Michael Lewis book, The New New Thing)? Mentioned in the episode: The Desk Set a play William Marchand and a movie starring Katherine Hepburn. How might a computer be incorporated into the sociability of a couple? Her (Spike Jonze,, 2013) computer meets human makes the rom-com into a coupling machine. WarGames (1983( ends with Matthew Broderick and Ally Sheedy (not Ione Skye—silly John!) paired. But also with Broderick and the formerly deadly computer settling down to “how about a nice game of chess”? Black Mirror as the 2020's version of the same dark satire as the 1950's Twilight Zone. John asks about Stanislaw Lem's Cyberiad, and the comic coupling of Kirk and Spock and the death-as-computer comedy of Douglas Adam's Hitchhiker's Guide to the Galaxy (1979). Leo Marx, The Machine in the Garden (1964). Dave Eggers: the joke structure as critique in The Circle and The Every. John Saybrook wrote in the New Yorker about an eye-opening conversation with Bill Gates in 1994. Istvan Csicsery-Ronay's Seven Beauties of Science Fiction on the “fictionalization of everyday life" Recallable Books: Elif Batuman The Idiot (2017) Richard Powers, Plowing the Dark (2000) Sally Rooney, Conversations with Friends (2017) Listen and Read here. Learn more about your ad choices. Visit megaphone.fm/adchoices

When does comedy become more than a laugh? Ben Mangrum of MIT joins RtB to discuss his new book, The Comedy of Computation: Or, How I Learned to Stop Worrying and Love Obsolescence (Stanford UP, 2025), which in some ways is organized around “the intriguing idea that human knowledge work is our definitive feature and yet the machines we are ourselves made are going to replace us at it.” Comedy has provided a toolbox (Charles Tilly calls them "collective repertoires") for responding to the looming obsolescence of knowledge workers.John's interest in Menippean satire within science fiction leads him to ask about about the sliding meanings of comedy and its pachinko machine capacity; he loves the way Ben uses the word and concept of doubling,; Ben explains how the computer may either queer (in an antisocial way) or get assimilated into romantic heteronormative pairings. John asks about Donna Haraway's 1985 A Cyborg Manifesto and teh way it denaturalizes gender roles and the way new technological affordances (from the Acheulean axe that Malafouris discusses to the Apple watch) redefine human roles. Ben delves into the minstrelsy pre-history of the photo-robots going as far back as the late 19th century. They unpack the distinctively American Leo Marxian optimism of The Machine in the Garden (1964) that spreads back as far as the proto-robots like The Steam Man of the Prairies(1868) and good old Tik-Tok in the Wizard of Oz novels. John asks about double-edged nature of Ben's claim that comic “genericity provides forms for making a computationally mediated social world seem more habitable, even as it also provides Is for criticizing and objecting to that world." First you get description says Ben--and then sometimes critique. John asks about the iterability of the new: how much of what seems new actually New New (in the sense of that great 1999 Michael Lewis book, The New New Thing)? Mentioned in the episode: The Desk Set a play William Marchand and a movie starring Katherine Hepburn. How might a computer be incorporated into the sociability of a couple? Her (Spike Jonze,, 2013) computer meets human makes the rom-com into a coupling machine. WarGames (1983( ends with Matthew Broderick and Ally Sheedy (not Ione Skye—silly John!) paired. But also with Broderick and the formerly deadly computer settling down to “how about a nice game of chess”? Black Mirror as the 2020's version of the same dark satire as the 1950's Twilight Zone. John asks about Stanislaw Lem's Cyberiad, and the comic coupling of Kirk and Spock and the death-as-computer comedy of Douglas Adam's Hitchhiker's Guide to the Galaxy (1979). Leo Marx, The Machine in the Garden (1964). Dave Eggers: the joke structure as critique in The Circle and The Every. John Saybrook wrote in the New Yorker about an eye-opening conversation with Bill Gates in 1994. Istvan Csicsery-Ronay's Seven Beauties of Science Fiction on the “fictionalization of everyday life" Recallable Books: Elif Batuman The Idiot (2017) Richard Powers, Plowing the Dark (2000) Sally Rooney, Conversations with Friends (2017) Listen and Read here. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/literary-studies

When does comedy become more than a laugh? Ben Mangrum of MIT joins RtB to discuss his new book, The Comedy of Computation: Or, How I Learned to Stop Worrying and Love Obsolescence (Stanford UP, 2025), which in some ways is organized around “the intriguing idea that human knowledge work is our definitive feature and yet the machines we are ourselves made are going to replace us at it.” Comedy has provided a toolbox (Charles Tilly calls them "collective repertoires") for responding to the looming obsolescence of knowledge workers.John's interest in Menippean satire within science fiction leads him to ask about about the sliding meanings of comedy and its pachinko machine capacity; he loves the way Ben uses the word and concept of doubling,; Ben explains how the computer may either queer (in an antisocial way) or get assimilated into romantic heteronormative pairings. John asks about Donna Haraway's 1985 A Cyborg Manifesto and teh way it denaturalizes gender roles and the way new technological affordances (from the Acheulean axe that Malafouris discusses to the Apple watch) redefine human roles. Ben delves into the minstrelsy pre-history of the photo-robots going as far back as the late 19th century. They unpack the distinctively American Leo Marxian optimism of The Machine in the Garden (1964) that spreads back as far as the proto-robots like The Steam Man of the Prairies(1868) and good old Tik-Tok in the Wizard of Oz novels. John asks about double-edged nature of Ben's claim that comic “genericity provides forms for making a computationally mediated social world seem more habitable, even as it also provides Is for criticizing and objecting to that world." First you get description says Ben--and then sometimes critique. John asks about the iterability of the new: how much of what seems new actually New New (in the sense of that great 1999 Michael Lewis book, The New New Thing)? Mentioned in the episode: The Desk Set a play William Marchand and a movie starring Katherine Hepburn. How might a computer be incorporated into the sociability of a couple? Her (Spike Jonze,, 2013) computer meets human makes the rom-com into a coupling machine. WarGames (1983( ends with Matthew Broderick and Ally Sheedy (not Ione Skye—silly John!) paired. But also with Broderick and the formerly deadly computer settling down to “how about a nice game of chess”? Black Mirror as the 2020's version of the same dark satire as the 1950's Twilight Zone. John asks about Stanislaw Lem's Cyberiad, and the comic coupling of Kirk and Spock and the death-as-computer comedy of Douglas Adam's Hitchhiker's Guide to the Galaxy (1979). Leo Marx, The Machine in the Garden (1964). Dave Eggers: the joke structure as critique in The Circle and The Every. John Saybrook wrote in the New Yorker about an eye-opening conversation with Bill Gates in 1994. Istvan Csicsery-Ronay's Seven Beauties of Science Fiction on the “fictionalization of everyday life" Recallable Books: Elif Batuman The Idiot (2017) Richard Powers, Plowing the Dark (2000) Sally Rooney, Conversations with Friends (2017) Listen and Read here. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science

A characteristic of complex systems is that individual components combine to exhibit large-scale emergent behavior even when the components were not specifically designed for any particular purpose within the collective. Sometimes those individual components are us -- people interacting within societies or online communities. Studying the dynamics of such interactions is interesting both to better understand what is happening, and hopefully to designing better communities. I talk with Petter Törnberg about flows of information, how polarization develops, and how artificial agents can help steer things in better directions.Blog post with transcript: https://www.preposterousuniverse.com/podcast/2025/09/29/330-petter-tornberg-on-the-dynamics-of-misinformation/Support Mindscape on Patreon.Petter Törnberg received a Ph.D. in complex systems from Chalmers University of Technology. He is now an Assistant Professor at the Institute for Language, Logic and Computation at the University of Amsterdam, Associate Professor in Complex Systems at Chalmers University of Technology, NWO VENI laurate, and senior researcher at the University of Neuchâtel.Web siteUniv. Amsterdam web pageGoogle Scholar publicationsAmazon author pageBlueskySee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Get 50% off Claude Pro, including access to Claude Code, at http://claude.ai/theoriesofeverything As a listener of TOE you can get a special 20% off discount to The Economist and all it has to offer! Visit https://www.economist.com/toe In this episode, I speak with Stephen Wolfram—creator of Mathematica and Wolfram Language—about a “new kind of science” that treats the universe as computation. We explore computational irreducibility, discrete space, multi-way systems, and how the observer shapes the laws we perceive—from the second law of thermodynamics to quantum mechanics. Wolfram reframes Feynman diagrams as causal structures, connects evolution and modern AI through coarse fitness and assembled “lumps” of computation, and sketches a nascent theory of biology as bulk orchestration. We also discuss what makes science good: new tools, ruthless visualization, respect for history, and a field he calls “ruliology”—the study of simple rules, where anyone can still make real contributions. This is basically a documentary akin to The Life and Times of Stephen Wolfram. I hope you enjoy it. Join My New Substack (Personal Writings): https://curtjaimungal.substack.com Listen on Spotify: https://open.spotify.com/show/4gL14b92xAErofYQA7bU4e SUPPORT: - Become a YouTube Member (Early Access Videos): https://www.youtube.com/channel/UCdWIQh9DGG6uhJk8eyIFl1w/join - Support me on Patreon: https://patreon.com/curtjaimungal - Support me on Crypto: https://commerce.coinbase.com/checkout/de803625-87d3-4300-ab6d-85d4258834a9 - Support me on PayPal: https://www.paypal.com/donate?hosted_button_id=XUBHNMFXUX5S4 SOCIALS: - Twitter: https://twitter.com/TOEwithCurt - Discord Invite: https://discord.com/invite/kBcnfNVwqs Guests do not pay to appear. Theories of Everything receives revenue solely from viewer donations, platform ads, and clearly labelled sponsors; no guest or associated entity has ever given compensation, directly or through intermediaries. Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode: 2684 Will Computers Replace Scientists?  Today, will computers replace scientists?

What starts with a wild Burning Man confession evolves into a deep debate on the fabric of existence.Welcome to the Alfalfa Podcast

This episode features Shlomi Fuchter and Jack Parker Holder from Google DeepMind, who are unveiling a new AI called Genie 3. The host, Tim Scarfe, describes it as the most mind-blowing technology he has ever seen. We were invited to their offices to conduct the interview (not sponsored).Imagine you could create a video game world just by describing it. That's what Genie 3 does. It's an AI "world model" that learns how the real world works by watching massive amounts of video. Unlike a normal video game engine (like Unreal or the one for Doom) that needs to be programmed manually, Genie generates a realistic, interactive, 3D world from a simple text prompt.**SPONSOR MESSAGES***Prolific: Quality data. From real people. For faster breakthroughs.https://prolific.com/mlst?utm_campaign=98404559-MLST&utm_source=youtube&utm_medium=podcast&utm_content=script-gen***Here's a breakdown of what makes it so revolutionary:From Text to a Virtual World: You can type "a drone flying by a beautiful lake" or "a ski slope," and Genie 3 creates that world for you in about three seconds. You can then navigate and interact with it in real-time.It's Consistent: The worlds it creates have a reliable memory. If you look away from an object and then look back, it will still be there, just as it was. The guests explain that this consistency isn't explicitly programmed in; it's a surprising, "emergent" capability of the powerful AI model.A Huge Leap Forward: The previous version, Genie 2, was a major step, but it wasn't fast enough for real-time interaction and was much lower resolution. Genie 3 is 720p, interactive, and photorealistic, running smoothly for several minutes at a time.The Killer App - Training Robots: Beyond entertainment, the team sees Genie 3 as a game-changer for training AI. Instead of training a self-driving car or a robot in the real world (which is slow and dangerous), you can create infinite simulations. You can even prompt rare events to happen, like a deer running across the road, to teach an AI how to handle unexpected situations safely.The Future of Entertainment: this could lead to a "YouTube version 2" or a new form of VR, where users can create and explore endless, interconnected worlds together, like the experience machine from philosophy.While the technology is still a research prototype and not yet available to the public, it represents a monumental step towards creating true artificial worlds from the ground up.Jack Parker Holder [Research Scientist at Google DeepMind in the Open-Endedness Team]https://jparkerholder.github.io/Shlomi Fruchter [Research Director, Google DeepMind]https://shlomifruchter.github.io/TOC:[00:00:00] - Introduction: "The Most Mind-Blowing Technology I've Ever Seen"[00:02:30] - The Evolution from Genie 1 to Genie 2[00:04:30] - Enter Genie 3: Photorealistic, Interactive Worlds from Text[00:07:00] - Promptable World Events & Training Self-Driving Cars[00:14:21] - Guest Introductions: Shlomi Fuchter & Jack Parker Holder[00:15:08] - Core Concepts: What is a "World Model"?[00:19:30] - The Challenge of Consistency in a Generated World[00:21:15] - Context: The Neural Network Doom Simulation[00:25:25] - How Do You Measure the Quality of a World Model?[00:28:09] - The Vision: Using Genie to Train Advanced Robots[00:32:21] - Open-Endedness: Human Skill and Prompting Creativity[00:38:15] - The Future: Is This the Next YouTube or VR?[00:42:18] - The Next Step: Multi-Agent Simulations[00:52:51] - Limitations: Thinking, Computation, and the Sim-to-Real Gap[00:58:07] - Conclusion & The Future of Game EnginesREFS:World Models [David Ha, Jürgen Schmidhuber]https://arxiv.org/abs/1803.10122POEThttps://arxiv.org/abs/1901.01753[Akarsh Kumar, Jeff Clune, Joel Lehman, Kenneth O. Stanley]The Fractured Entangled Representation Hypothesishttps://arxiv.org/pdf/2505.11581TRANSCRIPT:https://app.rescript.info/public/share/Zk5tZXk6mb06yYOFh6nSja7Lg6_qZkgkuXQ-kl5AJqM

Sam Arbesman, complexity scientist, author of "The Magic of Code," and scientist in residence at Lux Capital, joins me for a wide-ranging exploration of how we navigate an increasingly complex world that often exceeds human comprehension. We dive into the oral traditions that preserve crucial scientific knowledge, why cognitive diversity trumps demographic diversity, the forgotten innovations hiding in technological history, and Sam's vision for "Maxis 2.0". This conversation had everything—from science fiction's cultural impact to the philosophy of intellectual humility. Sam and I discovered we're remarkably simpatico on how to think about complex systems, the importance of historical context, and why saying "I don't know" is the foundation of genuine learning. I hope you enjoy this conversation as much as I did. For the full transcript, episode takeaways, and bucketloads of other goodies designed to make you go, “Hmm, that's interesting!”, check out our Substack. Important Links: Personal Website Book Page: The Magic of Code Sam's X Profile Show Notes: Sam's Sci-fi Origins The Oral Tradition in Science and Technology Cultivating the Unexpected Open-Endedness and Large Language Models “All Models Are Wrong, but Some Are Useful” Culture's Role in Shaping Everything Patching Bugs in HumanOS Tech History and Forgotten Innovations A Tech Archaeology Fellowship Humility and Knowledge Learning Via Negativa The Complexity of Our World Sam's Current Obsessions in Science and Gaming Sam As Emperor of the World Books Mentioned: Dune; by Frank Herbert Foundation trilogy; by Isaac Asimov Overcomplicated: Technology at the Limits of Comprehension; by Sam Arbesman The Half-Life of Facts; by Sam Arbesman When We Cease to Understand the World; by Benjamín Labatut White Mirror; by Tinkered Thinking Nonzero; by Robert Wright The Evolution of God; by Robert Wright God and Golem, Inc.; by Norbert Wiener The Road; by Cormac McCarthy The Guide for the Perplexed; by Moses Maimonides The Story of Civilization; by Will and Ariel Durant Mistakes Were Made, and Yes, by Me; by Jim O'Shaughnessy

Demis Hassabis is the CEO of Google DeepMind and Nobel Prize winner for his groundbreaking work in protein structure prediction using AI. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep475-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/demis-hassabis-2-transcript CONTACT LEX: Feedback - give feedback to Lex: https://lexfridman.com/survey AMA - submit questions, videos or call-in: https://lexfridman.com/ama Hiring - join our team: https://lexfridman.com/hiring Other - other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: Demis's X: https://x.com/demishassabis DeepMind's X: https://x.com/GoogleDeepMind DeepMind's Instagram: https://instagram.com/GoogleDeepMind DeepMind's Website: https://deepmind.google/ Gemini's Website: https://gemini.google.com/ Isomorphic Labs: https://isomorphiclabs.com/ The MANIAC (book): https://amzn.to/4lOXJ81 Life Ascending (book): https://amzn.to/3AhUP7z SPONSORS: To support this podcast, check out our sponsors & get discounts: Hampton: Community for high-growth founders and CEOs. Go to https://joinhampton.com/lex Fin: AI agent for customer service. Go to https://fin.ai/lex Shopify: Sell stuff online. Go to https://shopify.com/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex AG1: All-in-one daily nutrition drink. Go to https://drinkag1.com/lex OUTLINE: (00:00) - Introduction (00:29) - Sponsors, Comments, and Reflections (08:40) - Learnable patterns in nature (12:22) - Computation and P vs NP (21:00) - Veo 3 and understanding reality (25:24) - Video games (37:26) - AlphaEvolve (43:27) - AI research (47:51) - Simulating a biological organism (52:34) - Origin of life (58:49) - Path to AGI (1:09:35) - Scaling laws (1:12:51) - Compute (1:15:38) - Future of energy (1:19:34) - Human nature (1:24:28) - Google and the race to AGI (1:42:27) - Competition and AI talent (1:49:01) - Future of programming (1:55:27) - John von Neumann (2:04:41) - p(doom) (2:09:24) - Humanity (2:12:30) - Consciousness and quantum computation (2:18:40) - David Foster Wallace (2:25:54) - Education and research PODCAST LINKS: - Podcast Website: https://lexfridman.com/podcast - Apple Podcasts: https://apple.co/2lwqZIr - Spotify: https://spoti.fi/2nEwCF8 - RSS: https://lexfridman.com/feed/podcast/ - Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 - Clips Channel: https://www.youtube.com/lexclips

As a listener of TOE you can get a special 20% off discount to The Economist and all it has to offer! Visit https://www.economist.com/toe Professor John Norton has spent decades dismantling the hidden assumptions in physics from Newton's determinism to the myth of Landauer's Principle. In this episode, he explains why causation may not be real, how classical physics breaks down, and why even Einstein got some things wrong. If you're ready to rethink the foundations of science, this one's essential. Join My New Substack (Personal Writings): https://curtjaimungal.substack.com Listen on Spotify: https://open.spotify.com/show/4gL14b92xAErofYQA7bU4e Timestamps: 00:00 Introduction 03:37 Norton's Dome Explained 06:30 The Misunderstanding of Determinism 09:31 Thermodynamics and Infinite Systems 14:39 Implications for Quantum Mechanics 16:20 Revisiting Causation 18:15 Critique of Causal Metaphysics 20:21 The Utility of Causal Language 24:58 Exploring Thought Experiments 33:05 Landauer's Principle Discussion 49:48 Critique of Experimental Validation 52:25 Consequences for Maxwell's Demon 1:13:34 Einstein's Critiques of Quantum Mechanics 1:28:16 The Nature of Scientific Discovery 1:42:56 Inductive Inferences in Science Links Mentioned: •⁠ ⁠A Primer on Determinism (book): https://amzn.to/45Jn3b4 •⁠ ⁠John Norton's papers: https://scholar.google.com/citations?user=UDteMFoAAAAJ •⁠ ⁠Causation as Folk Science (paper): https://sites.pitt.edu/~jdnorton/papers/003004.pdf •⁠ ⁠Lipschitz continuity (wiki): https://en.wikipedia.org/wiki/Lipschitz_continuity •⁠ ⁠The Dome: An Unexpectedly Simple Failure of Determinism (paper): https://philsci-archive.pitt.edu/2943/1/Norton.pdf •⁠ ⁠Norton's Dome (wiki): https://en.wikipedia.org/wiki/Norton%27s_dome •⁠ ⁠Approximation and Idealization (paper): https://sites.pitt.edu/~jdnorton/papers/Ideal_Approx_final.pdf •⁠ ⁠On the Quantum Theory of Radiation (paper): https://www.informationphilosopher.com/solutions/scientists/einstein/1917_Radiation.pdf •⁠ ⁠Making Things Happen (book): https://ccc.inaoep.mx/~esucar/Clases-mgc/Making-Things-Happen-A-Theory-of-Causal-Explanation.pdf •⁠ ⁠Causation in Physics (wiki): https://plato.stanford.edu/entries/causation-physics/ •⁠ ⁠Laboratory of the Mind (paper): https://www.academia.edu/2644953/REVIEW_James_R_Brown_Laboratory_of_the_Mind •⁠ ⁠Roger Penrose on TOE: https://youtu.be/sGm505TFMbU •⁠ ⁠Ted Jacobson on TOE: https://youtu.be/3mhctWlXyV8 •⁠ ⁠The Thermodynamics of Computation (paper): https://sites.cc.gatech.edu/computing/nano/documents/Bennett%20-%20The%20Thermodynamics%20Of%20Computation.pdf •⁠ ⁠What's Actually Possible? (article): https://curtjaimungal.substack.com/p/the-unexamined-in-principle •⁠ ⁠On a Decrease of Entropy in a Thermodynamic System (paper): https://fab.cba.mit.edu/classes/862.22/notes/computation/Szilard-1929.pdf •⁠ ⁠Landauer's principle and thermodynamics (article): https://www.nature.com/articles/nature10872 •⁠ ⁠The Logical Inconsistency of Old Quantum Theory of Black Body Radiation (paper): https://sites.pitt.edu/~jdnorton/papers/Inconsistency_OQT.pdf SUPPORT: - Become a YouTube Member (Early Access Videos): https://www.youtube.com/channel/UCdWIQh9DGG6uhJk8eyIFl1w/join - Support me on Patreon: https://patreon.com/curtjaimungal - Support me on Crypto: https://commerce.coinbase.com/checkout/de803625-87d3-4300-ab6d-85d4258834a9 - Support me on PayPal: https://www.paypal.com/donate?hosted_button_id=XUBHNMFXUX5S4 SOCIALS: - Twitter: https://twitter.com/TOEwithCurt - Discord Invite: https://discord.com/invite/kBcnfNVwqs #science Learn more about your ad choices. Visit megaphone.fm/adchoices

What if the next leap in artificial intelligence isn't about better language—but better understanding of space?In this episode, a16z General Partner Erik Torenberg moderates a conversation with Fei-Fei Li, cofounder and CEO of World Labs, and a16z General Partner Martin Casado, an early investor in the company. Together, they dive into the concept of world models—AI systems that can understand and reason about the 3D, physical world, not just generate text.Often called the “godmother of AI,” Fei-Fei explains why spatial intelligence is a fundamental and still-missing piece of today's AI—and why she's building an entire company to solve it. Martin shares how he and Fei-Fei aligned on this vision long before it became fashionable, and why it could reshape the future of robotics, creativity, and computational interfaces.From the limits of LLMs to the promise of embodied intelligence, this conversation blends personal stories with deep technical insights—exploring what it really means to build AI that understands the real (and virtual) world.Resources: Find Fei-Fei on X: https://x.com/drfeifeiFind Martin on X: https://x.com/martin_casadoLearn more about World Labs: https://www.worldlabs.ai/ Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

In this episode, we speak with Edward Ongweso Jr about "artificial intelligence" and its implications, particularly concerning corporate interests and historical parallels with labor control. Edward critiques the term “artificial intelligence” for obscuring the underlying digital technologies and algorithmic systems that serve corporate agendas, emphasizing the narrow view of intelligence that excludes human cognitive elements. The conversation delves into the historical roots of computation, drawing parallels between modern AI and 19th-century plantation management techniques aimed at maximizing productivity and control.  We also explore the exploitation of global south workers in AI development, likening it to racialized regimes of chattel slavery. Furthermore, Ongweso critiques the concept of surveillance capitalism, arguing that surveillance has been integral to capitalism since its origins, particularly post-World War II, through marketing revolutions, the military-industrial complex, and financialization. The discussion concludes with an analysis of techno-authoritarianism, highlighting Silicon Valley's historical hostility to democracy and its prioritization of technologies that advance surveillance and social control. Edward is a writer and editor based in Brooklyn, NY. Most of his work centers around tech criticism, labor and financial reporting, and book reviews. He is also the co-host of This Machine Kills, a podcast started in 2020 to discuss the political economy of technology. Support us via Patreon or BuyMeACoffee   Relevant Links:   Surveillance capitalism vs techno-feudalism vs techno-authoritarianism   A Materialist Approach to the Tech Industry: From Household to Military Tech with Dwayne Monroe