Podcasts about scientific discovery

How have we made discoveries about the world around us and how has our understanding changed when we got it wrong? Adam Rutherford hosts Radio 4's discussion programme which starts the week, asking about the the nature of scientific discovery, understanding and changing our mind. Andrea Wulf's latest book is The Traveller: The Revolutionary Life of George Forster and his Search for Humanity. She has reassessed the botanist and ethnologist who accompanied Captain Cook's second voyage, taking him from Antarctica to the tropical islands of the South Pacific. During this time, Forster studied diverse people, culture and nature and returned a confirmed opponent of empire, racism and slavery: he was celebrated in his lifetime, but has since been largely forgotten by history. The geneticist Kathryn Paige Harden argues that the latest research complicates our ideas about blame, punishment and moral responsibility. In her new book Original Sin: The Genetics of Wrongdoing, the Problem of Blame and the Future of Forgiveness, she looks at the area where human behaviour meets inherited biology. She thinks we must look again at questions of wrong doing and free will, reassessing old ideas of guilt and accountability. We are all hormonal all of the time, because to be hormonal is to be human says Saira Hameed, a leading endocrinologist. Hormones are the often misunderstood signalling system that makes our bodies function which she explain in her new book, Signals: The Inside Story of Our Hormones, separating medical breakthroughs from the obsessions of wellness influencers. Producer: Ruth Watts

Audio of "The Poverty of Philosophy" by Karl Marx, published in 1847. Read online at: https://www.marxists.org/archive/marx/works/1847/poverty-philosophy/ (including pdf and docx). Recording based on https://en.wikisource.org/wiki/The_Poverty_of_Philosophy See the article on it here https://workersliberty.org/story/2026-05-05/our-reference-points-1-debunking-religion-class-struggle And study notes: https://www.workersliberty.org/story/2019-04-11/poverty-philosophy-notes-study-sessions Contents and (approximate) timestamps: 00:00 Translator's foreword; Preface by Engels from 1884; Author's Preface Chapter 1 — A Scientific Discovery: 43:05 Ch. 1 Section 1 — Opposition of Utility Value to Exchange Value 1:09:04 Ch. 1 Section 2 — Constituted or Synthetic Value 2:03:10 Ch. 1 Section 3 — Application of the Law of the Proportion of Value: (a) Money, (b) Surplus Labour Chapter 2 — The Metaphysics of Political Economy: 2:54:39 Ch. 2 Section 1 — The Method 3:42:35 Ch. 2 Section 2 — The Division of Labor and Machinery 4:19:37 Ch. 2 Section 3 — Competition and Monopoly 4:37:58 Ch. 2 Section 4 — Property and Rent 5:02:48 Ch. 2 Section 5 — Strikes and the Combination of Workmen Appendices: 5:20:17 Appendix 1 — Proudhon Judged by Marx 5:39:14 Appendix 2 — John Gray and his Theory of Labor Notes 5:47:50 Appendix 3 — Free Trade #2 from Marxist points of reference: a reading list https://workersliberty.org/marxist-points-reference-reading-list Playlist of recordings from that list here https://soundcloud.com/workers-liberty/sets/marxist-points-of-reference-a Audiobook public domain from librivox; music public domain. Subscribe to the podcast "Solidarity & more" by "Workers' Liberty" wherever you listen to podcasts. More info: https://workersliberty.org/audio

What if Genesis 1 was never meant to answer the questions we've been asking it? This week, Pastor Joshua Brown opens a brand new series by taking us back to the very beginning, showing that the creation story is not a science textbook but a worship text written for exiles, declaring that the world belongs to God, not to chaos. And the whole point of creation, it turns out, is not your productivity or even your survival, but rest in the presence of the God who made you.

Rubén Lozano-Aguilera, Product Lead for Asta at the Allen Institute for AI (Ai2), explores the transformative potential of agentic AI in scientific research with Humanitarian AI Today guest host Lindsey Moore, Founder of DevelopMetrics. Rubén introduces AutoDiscovery, a powerful new tool developed by his team that moves beyond traditional query-based analysis to autonomously generate and test scientific hypotheses. This shift from manual data processing to autonomous discovery offers a powerful force multiplier for researchers, helping them surface blind spots and hidden patterns that traditional methods often overlook in fields ranging from melanoma research to marine ecology.   For humanitarian and development organizations, Ai2's work represents a vital new advancement in what Rubén calls "shared AI infrastructure." Ai2's deep commitment to the open-source movement, providing open models, checkpoints, code, and training data, ensures transparency and accessibility for all. This approach is particularly impactful for organizations operating in resource-constrained environments, as it allows them to leverage state-of-the-art predictive analytics without the high costs or "black box" risks associated with proprietary systems. By democratizing access to high-level research tools, Ai2 enables any researcher or developer to maintain data ownership while utilizing sophisticated AI to solve the world's most pressing problems.   The conversation next turned to the deeper philosophical stakes of automating scientific discovery itself. Drawing on his graduate research in AI ethics at Cambridge, Rubén separates what philosophers of science call the "context of discovery”, how a hypothesis is generated, from the "context of justification," how it is tested and validated. The worry is deskilling: as scientists offload hypothesis generation to AI, will they lose the instincts needed to catch when the machine is wrong? His answer centers on cultivating "meta-AI skills", the practiced ability to evaluate AI outputs critically. That raises its own problems: how do those skills get built, and are they really the same kind of skill as the hypothesis-generating instincts they would replace? Ai2 is actively studying this by examining how tools like AutoDiscovery affect students and early-career researchers. For humanitarian and development professionals navigating an era of shrinking research budgets and growing AI adoption, these added points raise essential questions about keeping human judgment at the center of discovery.

Host Janet Michael talks with Nathan Stalvey about the Clarke County Historical Association's spring Art at the Mill show, upcoming VA250 events in Clarke County, and behind-the-scenes updates on the historic Burwell-Morgan Mill. Art at the Mill – Spring 2026 Dates: Saturday, April 18 – Sunday, May 3, 2026 Hours: Sunday–Friday, 12–5pm | Saturdays, 10–5pm Location: Burwell-Morgan Mill, Millwood, VA Admission: $5 adults | $3 seniors | Children 12 & under free Free admission with a show postcard or print advertisement Submissions: 300+ artists, nearly 950 works Media: Oils, acrylics, pastels, pencil, charcoal, glass sculpture, wood turning, baskets, and more Art rotates daily as pieces sell; reserve works come down from storage throughout the first week Online Gallery available at opening — browse, call in, and purchase by phone during business hours Artist bios included in the online gallery Behind the Scenes The jury/volunteer committee selects which works are accepted and chooses the signature postcard image Hanging is a curated process — color, style, and framing are all factored in for each placement Works range from 5 ft. x 4 ft. down to 4 in. x 4 in. Artists set their own prices based on experience, materials, framing, and time The show has been running since 1990 VA250 – America's 250th Anniversary Events in Clarke County Clarke County's VA250 Committee brings together local nonprofits, businesses, and organizations for a multi-year series of events running through 2031. Upcoming Highlights: April 18 @ 2pm – Taking Tea and Taxes — Celeste Fetta, Chief Educator at the Virginia Museum of Fine Arts, speaks at Barns Rose Hill on material culture and the revolutionary spark behind colonial tea culture May 16 (Saturday evening) – Liberty Ball at Long Branch — black-tie celebration of America's 250th, featuring music, fife and drum, and food May 17 @ 2pm – Blandy at 100: Communities that Give Rise to Scientific Discovery — talk at Blandy Experimental Farm May 17 @ 2pm – Nathan Stalvey presents Religion in Early America: From Colony to the Republic, tracing the First and Second Great Awakenings from the 1740s to the 1840s 4th of July – Coordinated community events; CCHA plans to grind red, white, and blue corn at the Burwell-Morgan Mill Mill Updates Mill Dam project: Complete — a major restoration that had been a long-running concern Greater face wheel repairs: Underway — the gear connecting the water wheel to the grindstones needs new mill teeth, being hand-crafted by a certified historic millwright to original spec Mill grinding expected to resume mid-May (pending repairs) Future projects: mill pond dredging, water wheel maintenance Support the Clarke County Historical Association Memberships, donations, and volunteers are vital — volunteer hours count toward grant applications Learn more: clarkehistory.org Facebook & Instagram: @ClarkeHistory

This is a two-part episode on the role of disagreement in science. In the first part, we discuss the "why," before moving on to the "how" in the next episode. Enjoy.    Shownotes Dellsén, F., & Baghramian, M. (2021). Disagreement in science: Introduction to the special issue. Synthese, 198(Suppl 25), 6011-6021. Oreskes, N., & Conway, E. M. (2011). Merchants of doubt: How a handful of scientists obscured the truth on issues from tobacco smoke to global warming. Bloomsbury Publishing USA. Popper, K. (1959). The Logic of Scientific Discovery. London: Hutchinson. Seidel, M. (2021). Kuhn's two accounts of rational disagreement in science: an interpretation and critique. Synthese, 198(25), 6023-6051. Shaw, J. (2021). Feyerabend and manufactured disagreement: reflections on expertise, consensus, and science policy. Synthese, 198(25), 6053-6084.  

00:00:28 Hello listeners00:01:03 “Give me a place to stand and a lever long enough, and I will move the world."00:13:40 • Use breaks and rest strategically.00:14:31 • Cut down on noise and distraction.00:15:17 • Honor your random insights and epiphanies by writing them down when they happen.00:18:00 • Find a task so engrossing that it makes the rest of the world disappear.00:18:29 • It may sound obvious, but if you're “on a roll,” don't forcefully stop yourself.00:18:46 • Even our passions can be a drag sometimes, but it's often just a question of getting started and staying with a task long enough for our own natural momentum to kick in.00:20:00 • Whatever you're trying to learn, find ways to anchor it in your everyday life.00:28:31 Questions for reflection00:00:28 Hello listeners00:01:03 “Give me a place to stand and a lever long enough, and I will move the world."00:13:40 • Use breaks and rest strategically.00:14:31 • Cut down on noise and distraction.00:15:17 • Honor your random insights and epiphanies by writing them down when they happen.00:18:00 • Find a task so engrossing that it makes the rest of the world disappear.00:18:29 • It may sound obvious, but if you're “on a roll,” don't forcefully stop yourself.00:18:46 • Even our passions can be a drag sometimes, but it's often just a question of getting started and staying with a task long enough for our own natural momentum to kick in.00:20:00 • Whatever you're trying to learn, find ways to anchor it in your everyday life.00:28:31 Questions for reflectionThink Like the Greats: Lessons from History's Top Performers, Champions, and Masters (Mental Models for Better Living Book 9)By Peter Hollinshttps://www.amazon.com/dp/B0FD8QJZCVWhat if the secret to greatness isn't talent, but how you think?Imagine channeling the calm discipline of Marcus Aurelius in chaos, the precision of Marie Curie in pursuit of truth, the inventive fire of Archimedes under pressure, the emotional genius of Shakespeare on the page, and the relentless artistry of Mozart in the face of rejection.THINK LIKE THE GREATS is not a biography compilation — it's your mental upgrade, built on the tested thinking patterns of the world's most iconic performers, inventors, creators, and philosophers. These were not just individuals of talent, but of uncommon perspective — and this book decodes their mental frameworks for modern use.Inside, you'll uncover how to: Strengthen Mental Clarity and Control: Apply Stoic reasoning from Marcus Aurelius to stay steady in a turbulent world. Fuel Lifelong Curiosity and Grit: Embrace the scientific persistence and intellectual courage of Marie Curie to solve hard problems. Think in First Principles: Adopt Archimedes' radical approach to innovation and insight — not just solving problems, but reframing them. Master Emotional Intelligence Through Story: Learn how Shakespeare used narrative to expose human truth and influence minds across centuries. Produce at a High Level with Consistency: Unpack the rituals and resilience behind Mozart's relentless creativity and output.Whether you're building a company, crafting your legacy, or just hungry to be better — the masters of history have already left the blueprint. This book hands it to you.Stop following the average path. Start thinking like the greats — and create your own enduring masterpiece.

We present Denario, an AI multi-agent system designed to be a scientific research assistant. Denario can perform many different tasks, such as generating ideas, checking the literature, developing research plans, writing and executing code, making plots, and writing a scientific paper. Denario is built as a modular system, and therefore, can perform either very specific tasks, such as generating an idea, or carrying out end-to-end scientific analysis using cmbagent as a deep-research backend. In this talk, we describe Denario and its modules in detail and illustrate its capabilities by presenting multiple AI-generated papers generated by it. These papers cover many scientific disciplines, such as astrophysics, biology, biophysics, biomedical informatics, chemistry, material science, mathematical physics, medicine, and planetary science. Denario can also perform research combining ideas from different disciplines, and we illustrate it by showing a paper that applies methods from quantum physics and machine learning with astrophysical data. We publicly release the code at https://github.com/AstroPilot-AI/Denario. A Denario demo can also be run directly on the web at https://huggingface.co/spaces/astropilot-ai/Denario, and the full app is deployed on the cloud.

Arthur Herman argues that the American worldview rests on three Scottish pillars: unity of knowledge, common sense, and the harmonious integration of modern scientific discovery with ancient religious revelation. 4.1900 MEXICO

Home to the Wright Brothers and the birthplace of aviation, Ohio boasts a proud legacy in scientific discovery and innovation. Included in this legacy is NASA's Glenn Research Center-which was established by the National Advisory Committee for Aeronautics (NACA) in 1941 to study all aspects of aircraft propulsion. It was incorporated into NASA in October 1958 and has been making the nation's most successful and notable aerospace missions possible for 85 years. As one of the leading research and innovation sites in the nation, NASA Glenn's highly skilled workforce and unique test facilities transform aviation, revolutionize space exploration, and inspire new discoveries for the benefit of all. NASA Glenn also serves as a regional economic engine, attracting scientific innovation and opportunities from around the world.rnrnDr. James A. Kenyon is director of NASA's Glenn Research Center in Cleveland. He oversees a staff of more than 2,580 civil servants and support service contractors and an annual budget of approximately $900 million. Prior to becoming Glenn's director, Kenyon served as director of the Advanced Air Vehicles Program at NASA Headquarters in Washington. He also worked at Pratt & Whitney, where he held leadership roles in business development, program management, and engineering. Dr. Kenyon joined Pratt & Whitney after 17 years as a civilian in the Department of Defense, including six years in the Office of the Secretary of Defense.

In this episode of the Crazy Wisdom podcast, host Stewart Alsop sits down with Markus Buehler, the McAfee Professor of Engineering at MIT, to explore how seemingly different systems—from proteins and music to knowledge structures and AI reasoning—share underlying patterns through hierarchy, self-organization, and scale-free networks. The conversation ranges from the limits of current AI interpolation versus true discovery (using the fire-to-fusion example), to the emergence of agent swarms and their non-linear effects, to practical questions about ontologies, knowledge graphs, and whether humans will remain necessary in the creative discovery process. Markus discusses his lab's work automating scientific discovery through AI agents that can generate hypotheses, run simulations, and even retrain themselves, while Stewart shares his own experiences building applications with AI coding agents and grapples with questions about intellectual property, material science constraints, and the future of human creativity in an AI-abundant world.Timestamps00:00 - Introduction to Marcus Buehler's work on knowledge graphs, structural grammar across proteins, music, and AI reasoning05:00 - Discussion of AI discovery versus interpolation, using fire and fusion as examples of fundamental versus incremental innovation10:00 - Language models as connective glue between agents, enabling communication despite imperfect outputs and canonical averaging15:00 - Embodiment and agency in AI systems, creating adversarial agents that challenge theories and expand world models20:00 - Emergent properties in materials and AI, comparing dislocations in metals to behaviors in agent swarms25:00 - Human role-playing and phase separation in society, parallels to composite materials and heterogeneity30:00 - Physical world challenges, atom-by-atom manufacturing at MIT.nano, limitations of lithography machines35:00 - Synthetic biology as alternative to nanotechnology, programming microorganisms for materials discovery40:00 - Intellectual property debates, commodification of AI models, control layers more valuable than model architecture45:00 - Automation of ontologies, agent self-testing, daughter's coding success at age 1150:00 - Graph theory for knowledge compression, neurosymbolic approaches combining symbolic and neural methods55:00 - Nonlinear acceleration in AI, emergence from accumulated innovations, restaurant owner embracing AI01:00:00 - Future generations possibly rejecting AI, democratization of knowledge, social media as real-time scientific discourseKey Insights1. Universal Patterns Across Disciplines: Seemingly different systems in nature—proteins, music, social networks, and knowledge itself—share fundamental structural patterns including hierarchy, self-organization, and scale-free networks. This commonality allows creative thinkers to draw insights across disciplines, applying principles from one domain to solve problems in another. As an engineer and materials scientist, Buehler has leveraged these isomorphisms to advance scientific understanding by mapping the "plumbing" of different systems onto each other, revealing hidden relationships that enable extrapolation beyond what's observable in any single domain.2. The Discovery Versus Interpolation Problem: Current AI systems, particularly large language models, excel at interpolation—recombining existing knowledge in new ways—but struggle with genuine discovery that requires fundamental rewiring of world models. Using the example of fire versus fusion, Buehler explains that an AI trained on combustion chemistry would propose bigger fires or new fuels, but couldn't conceive of fusion because that requires stepping back to more fundamental physics. True discovery demands the ability to recognize when existing theories have boundaries and to develop entirely new frameworks, something current AI architectures aren't designed to achieve due to their training objective of predicting the most likely outcome.3. The Role of Ontologies and Knowledge Graphs: While some AI researchers argue that ontologies are unnecessary because models form internal representations, Buehler advocates for explicit knowledge graphs as essential discovery tools. External ontologies provide sharp, analytical, symbolic representations that complement the fuzzy internal representations of neural networks. They enable verification of rare connections—like obscure papers that might hold key insights—which would be averaged away in standard AI training. This neurosymbolic approach combines the generalization capabilities of neural networks with the precision of formal knowledge structures, creating more powerful discovery systems.4. Emergent Properties and Agent Swarms: Just as materials science shows that collections of atoms exhibit properties impossible to predict from individual components, AI agent swarms demonstrate emergent behaviors beyond single models. When agents are incentivized not just to answer questions but to challenge each other adversarially, propose theories, and test hypotheses, they can spawn new copies of themselves and evolve understanding beyond their initial programming. This emergence isn't surprising from a materials science perspective—dislocations, grain boundaries, and other collective phenomena only appear at scale, fundamentally determining material behavior in ways unpredictable from studying just a few atoms.5. The Commoditization of Intelligence: The fundamental AI models themselves are becoming commodities, as evidenced by events like the Moldbug phenomenon where people built agents using various providers interchangeably. The real value is shifting from who has the smartest model to how models are orchestrated, integrated, and deployed. This parallels historical technology adoption patterns—just as we moved past debating who makes the best electricity to focusing on applications, AI is transitioning from a horse race over model capabilities to questions of infrastructure, energy, access speed, and agent coordination at the systems level.6. Human-AI Collaboration and Creative Control: Rather than wholesale replacement, AI enables humans to operate in an intensely creative space as orchestrators sampling from vast possibility spaces. Similar to how Buehler's 11-year-old daughter now builds sophisticated applications that would have required professional developers years ago, AI democratizes access to capabilities while humans retain the creative judgment about direction and meaning. The human role becomes curating emergence, finding rare connections, playing at the edges of knowledge, and exercising the kind of curiosity-driven exploration that AI systems lack without embodied stakes in their own survival and continuation.7. Technology as Evolutionary Inevitability: The development of AI represents not an unnatural threat but the next stage of human evolution—an extension of our innate drive to build models of ourselves and our world. From cave paintings to partial differential equations to artificial intelligence, humans continuously create increasingly sophisticated representations and tools. Attempting to stop this technological evolution is futile; instead, the focus should be on steering it ...

Author and researcher Jan Hann joins us to discuss one of the most unusual consciousness events ever recorded — beginning with a sudden ‘clunk‑click' at the crown of her head, followed by the sensation of an invisible bird‑like force lifting her into a dual state of awareness. Her journey leads straight to the Great Pyramid and into the heart of ancient initiation traditions. This is a Scientific Discovery conversation you won't forget. Find out more about her experience and her book called, “Great Pyramid's Initiation Ceremony & the Hall of Records Active Today”. Thank you for leaving me a comment, like my videos, and do share my content with your friends!YouTube Link: https://www.youtube.com/watch?v=pDv2KQF7ytc Jan Hann's Links:FB: https://www.facebook.com/janet.fitzpatrick.9883/YouTube: https://www.youtube.com/@janetfitzpatrick5703Karen Holton's Links:Link Tree: https://linktr.ee/karenholtontv Download my exclusive audio content found only on SPREAKER, Spotify, Apple, Podbean, iHeart, Goodpods and more – https://www.spreaker.com/show/quantum-guides-show-with-karen-holtonTRANSDIMENSIONAL: Meet the New Neighbours by Karen Holton (paperback & Kindle now available from Amazon Worldwide) US: https://www.amazon.com/dp/1069173509?ref_=pe_93986420_774957520  & Canada: https://www.amazon.ca/TRANSDIMENSIONAL-Neighbours-Ms-Karen-Holton/dp/1069173509TRANSDIMENSIONAL 2: Meet the Greys Picture Book by Karen Holton (paperback & Kindle now available from Amazon Worldwide) US: https://www.amazon.com/TRANSDIMENSIONAL-Meet-Greys-Picture-Book/dp/B0DVSRX8BQ & Canada: https://www.amazon.ca/TRANSDIMENSIONAL-Meet-Greys-Picture-Book/dp/B0DVSRX8BQ     Buy Me A Coffee: https://buymeacoffee.com/karenholtontv  Join My YouTube Channel to receive my perks! https://www.youtube.com/@KarenHoltonTV/joinWebsite: https://www.karenholtonhealthcoach.com/Inspired Images: https://www.karenholtonhealthcoach.com/product-category/inspired-images/ Signed Books: https://www.karenholtonhealthcoach.com/product-category/signed-books/ Vital Services: https://www.karenholtonhealthcoach.com/product-category/services/Zen Domes Orgonite: https://www.karenholtonhealthcoach.com/product-category/zen-domes-orgonite/Comfort Crystals: https://www.karenholtonhealthcoach.com/product-category/comfort-crystals/Inspired Images: https://www.karenholtonhealthcoach.com/product-category/inspired-images/ Free Resources: https://www.karenholtonhealthcoach.com/free-resources/YouTube: https://www.youtube.com/c/KarenHoltonTVRumble: https://rumble.com/c/c-2423374 (KarenHoltonTV)Odysee: https://odysee.com/@KarenHoltonTVX (Twitter): https://x.com/KarenHoltonTV Telegram: https://t.me/KarenHoltonTVFacebook: https://www.facebook.com/karen.holton3Instagram: https://www.instagram.com/karenholtontv Forbidden Knowledge News Network: www.forbiddenknowledge.news The Quantum Guides Show and the Aliens & Angels Podcast are now part of the Forbidden Knowledge News Network! https://forbiddenknowledge.news/ Other podcast series from Karen Holton:Quantum Health Transformation V.3.0 - a free, no strings attached, 9 Step online, lifestyle course to give you the tips and resources you need to thrive! By following my own channeled advice, I made my dreams come true! Whether you are in the ascension process, or simply want more out of life, this course is for you.Complete Quantum Health Transformation V3.0 Playlist on YouTube: https://www.youtube.com/watch?v=qwSmOYvGXBA&list=PLe1pNMTCSTLlzyU9vc_SmK4zs4_JCcpa1&pp=gAQBiAQBor watch the Quantum Health Transformation program on Karen's website:https://www.karenholtonhealthcoach.com/quantum-health-transformation-free-online-course/ 

Fluent Fiction - French: Braving Arctic Storms: Élise's Quest for Scientific Discovery Find the full episode transcript, vocabulary words, and more:fluentfiction.com/fr/episode/2026-02-11-23-34-02-fr Story Transcript:Fr: Le vent souffle fort sur la toundra arctique.En: The wind blows strong over the Arctic tundra.Fr: Élise est bien emmitouflée dans son manteau.En: Élise is well bundled up in her coat.Fr: Elle regarde autour d'elle.En: She looks around her.Fr: Tout est blanc.En: Everything is white.Fr: La neige recouvre le sol et l'horizon semble infini.En: The snow covers the ground, and the horizon seems endless.Fr: Antoine et Luc sont derrière elle.En: Antoine and Luc are behind her.Fr: Ils sont en voyage scolaire pour étudier l'environnement.En: They are on a school trip to study the environment.Fr: Leur professeur a dit : "Le climat change, et l'Arctique est essentiel pour notre avenir."En: Their teacher said, "Le climat change, and the Arctic is essential for our future."Fr: Élise est passionnée.En: Élise is passionate.Fr: Elle veut faire une découverte importante.En: She wants to make an important discovery.Fr: Ses camarades la trouvent ambitieuse.En: Her classmates find her ambitious.Fr: Son rêve est simple : prouver que l'impact de l'homme sur le climat change la vie des animaux ici.En: Her dream is simple: to prove that the impact of humans on the climate is changing the lives of animals here.Fr: Mais aujourd'hui, son équipement ne fonctionne pas bien.En: But today, her equipment is not working well.Fr: Le froid est intense.En: The cold is intense.Fr: "Que faire ?"En: "What to do?"Fr: se demande-t-elle.En: she wonders.Fr: Antoine la prévient : "Restons sur le chemin.En: Antoine warns her, "Let's stay on the path.Fr: C'est plus sûr."En: It's safer."Fr: Luc hoche la tête.En: Luc nods.Fr: Mais Élise est déterminée.En: But Élise is determined.Fr: Elle voit une chance unique.En: She sees a unique opportunity.Fr: "Je veux aller plus loin," dit-elle.En: "I want to go further," she says.Fr: Malgré les avertissements, elle s'éloigne du groupe.En: Despite the warnings, she moves away from the group.Fr: Dans le cœur de la toundra, la tempête approche.En: In the heart of the tundra, the storm approaches.Fr: Le vent siffle, la neige tourbillonne.En: The wind whistles, the snow swirls.Fr: Soudain, Élise aperçoit un renard arctique.En: Suddenly, Élise spots an Arctic fox.Fr: C'est étrange.En: It's strange.Fr: Le renard agit différemment, cherchant désespérément de la nourriture.En: The fox is acting differently, desperately searching for food.Fr: Élise doit être rapide.En: Élise must be quick.Fr: Elle note ses observations, prend des photos.En: She notes her observations, takes photos.Fr: Le temps presse.En: Time is of the essence.Fr: La tempête est proche.En: The storm is close.Fr: Élise doit se dépêcher de revenir.En: Élise must hurry to return.Fr: Elle court, son cœur bat fort.En: She runs, her heart pounding.Fr: Elle rejoint le groupe.En: She joins the group.Fr: "Regardez !"En: "Look!"Fr: dit-elle excitée, montrant ses données.En: she says excitedly, showing her data.Fr: Antoine et Luc l'aident à tout analyser avant que le professeur arrive.En: Antoine and Luc help her analyze everything before the teacher arrives.Fr: Le professeur est impressionné.En: The teacher is impressed.Fr: "C'est une découverte précieuse," dit-il.En: "This is a valuable discovery," he says.Fr: Élise se sent fière.En: Élise feels proud.Fr: Sa confiance grandit.En: Her confidence grows.Fr: Elle comprend maintenant qu'ensemble, ils peuvent accomplir plus.En: She now understands that together, they can accomplish more.Fr: Dans le futur, elle sait qu'elle travaillera mieux avec ses camarades.En: In the future, she knows she will work better with her classmates.Fr: La tempête frappe.En: The storm hits.Fr: Ils sont tous à l'abri.En: They are all sheltered.Fr: Élise regarde dehors.En: Élise looks outside.Fr: Elle a prouvé sa valeur, et elle a appris une leçon précieuse : la force du travail en équipe.En: She has proved her worth, and she has learned a valuable lesson: the strength of teamwork.Fr: Elle sourit, contente de ses choix et de l'aventure qui l'attend en science.En: She smiles, content with her choices and the adventure that awaits her in science. Vocabulary Words:the wind: le ventthe tundra: la toundrathe storm: la tempêtethe Arctic: l'Arctiquethe horizon: l'horizonthe environment: l'environnementthe climate: le climatthe discovery: la découverteambitious: ambitieusethe equipment: l'équipementthe path: le cheminto approach: approcherthe chance: la chancethe warning: l'avertissementto be quick: être rapideto hurry: se dépêcherthe data: les donnéesto analyze: analyservaluable: précieuseconfidence: la confianceto accomplish: accomplirthe future: le futurthe strength: la forceteamwork: le travail d'équipeto prove: prouverthe lesson: la leçonthe adventure: l'aventureto smile: sourireto shelter: abriterthe fox: le renard

What makes something truly *intelligent?* Is a rock an agent? Could a perfect simulation of your brain actually *be* you? In this fascinating conversation, Dr. Jeff Beck takes us on a journey through the philosophical and technical foundations of agency, intelligence, and the future of AI.Jeff doesn't hold back on the big questions. He argues that from a purely mathematical perspective, there's no structural difference between an agent and a rock – both execute policies that map inputs to outputs. The real distinction lies in *sophistication* – how complex are the internal computations? Does the system engage in planning and counterfactual reasoning, or is it just a lookup table that happens to give the right answers?*Key topics explored in this conversation:**The Black Box Problem of Agency* – How can we tell if something is truly planning versus just executing a pre-computed response? Jeff explains why this question is nearly impossible to answer from the outside, and why the best we can do is ask which model gives us the simplest explanation.*Energy-Based Models Explained* – A masterclass on how EBMs differ from standard neural networks. The key insight: traditional networks only optimize weights, while energy-based models optimize *both* weights and internal states – a subtle but profound distinction that connects to Bayesian inference.*Why Your Brain Might Have Evolved from Your Nose* – One of the most surprising moments in the conversation. Jeff proposes that the complex, non-smooth nature of olfactory space may have driven the evolution of our associative cortex and planning abilities.*The JEPA Revolution* – A deep dive into Yann LeCun's Joint Embedding Prediction Architecture and why learning in latent space (rather than predicting every pixel) might be the key to more robust AI representations.*AI Safety Without Skynet Fears* – Jeff takes a refreshingly grounded stance on AI risk. He's less worried about rogue superintelligences and more concerned about humans becoming "reward function selectors" – couch potatoes who just approve or reject AI outputs. His proposed solution? Use inverse reinforcement learning to derive AI goals from observed human behavior, then make *small* perturbations rather than naive commands like "end world hunger."Whether you're interested in the philosophy of mind, the technical details of modern machine learning, or just want to understand what makes intelligence *tick,* this conversation delivers insights you won't find anywhere else.---TIMESTAMPS:00:00:00 Geometric Deep Learning & Physical Symmetries00:00:56 Defining Agency: From Rocks to Planning00:05:25 The Black Box Problem & Counterfactuals00:08:45 Simulated Agency vs. Physical Reality00:12:55 Energy-Based Models & Test-Time Training00:17:30 Bayesian Inference & Free Energy00:20:07 JEPA, Latent Space, & Non-Contrastive Learning00:27:07 Evolution of Intelligence & Modular Brains00:34:00 Scientific Discovery & Automated Experimentation00:38:04 AI Safety, Enfeeblement & The Future of Work---REFERENCES:Concept:[00:00:58] Free Energy Principle (FEP)https://en.wikipedia.org/wiki/Free_energy_principle[00:06:00] Monte Carlo Tree Searchhttps://en.wikipedia.org/wiki/Monte_Carlo_tree_searchBook:[00:09:00] The Intentional Stancehttps://mitpress.mit.edu/9780262540537/the-intentional-stance/Paper:[00:13:00] A Tutorial on Energy-Based Learning (LeCun 2006)http://yann.lecun.com/exdb/publis/pdf/lecun-06.pdf[00:15:00] Auto-Encoding Variational Bayes (VAE)https://arxiv.org/abs/1312.6114[00:20:15] JEPA (Joint Embedding Prediction Architecture)https://openreview.net/forum?id=BZ5a1r-kVsf[00:22:30] The Wake-Sleep Algorithmhttps://www.cs.toronto.edu/~hinton/absps/ws.pdf---RESCRIPT:https://app.rescript.info/public/share/DJlSbJ_Qx080q315tWaqMWn3PixCQsOcM4Kf1IW9_EoPDF:https://app.rescript.info/api/public/sessions/0efec296b9b6e905/pdf

As usual in the final episode of the year, we hand out three awards for what we think are some of the finest pieces of information systems scholarship produced this year. Except that this time, we are live at the International Conference on Information Systems in Nashville, Tennessee, in a room packed with our listeners. While this means the quality of the audio of our recording is not so great, the quality of the papers we honor this year is. And with a room full of laughter celebrating great information systems scholarship, we end the year on a high note. Congratulations to Stefan, Christoph, and Jan for winning the Trailblazing Research Award, John and Prasanna for winning the Elegant Scholarship Award, and Yanzhen, Huaxia and Andrew for winning the Innovative Method Award 2025. References Lowry, M. R. L., Vance, A., & Vance, M. D. (2025). Inexpert Supervision: Field Evidence on Boards' Oversight of Cybersecurity. Management Science, https://doi.org/10.1287/mnsc.2023.04147. Porra, J., Hirschheim, R., Land, F., & Lyytinen, K. (2025). Seventy Years of Information Systems Development Methodologies from Early Business Computing to the Agile Era: A Two-part History. Part 1: From Pre to Early ISD Methodology Era: The Emergence of ISD Methodologies and Their Golden Era (1880–1980). Journal of Information Technology, 40(4), 441-469. Porra, J., Hirschheim, R., Land, F., & Lyytinen, K. (2025). Seventy Years of Information Systems Development Methodologies from Early Business Computing to the Agile Era: A Two-part History. Part 2: Later ISD to Early Post ISD Methodology Era: Adapting to Accelerated Context Expansion (1980–today). Journal of Information Technology, 40(4), 470-498. Abbasi, A., Somanchi, S., & Kelley, K. (2025). The Critical Challenge of using Large-scale Digital Experiment Platforms for Scientific Discovery. MIS Quarterly, 49(1), 1-28. Storey, V. C., Baskerville, R. L., & Kaul, M. (2025). Reliability in Design Science Research. Information Systems Journal, 35(3), 984-1014. Larsen, K. R., Lukyanenko, R., Mueller, R. M., Storey, V. C., Parsons, J., VanderMeer, D. E., & Hovorka, D. S. (2025). Validity in Design Science. MIS Quarterly, 49(4), 1267-1294. Vance, A., Eargle, D., Kirwan, C. B., Anderson, B. B., & Jenkins, J. L. (2025). The Fog of Warnings: How Non-Security-Related Notifications Diminish the Efficacy of Security Warnings. MIS Quarterly, 49(4), 1357–1384. Baiyere, A., Bauer, J. M., Constantiou, I., & Hardt, D. (2025). Fake News and True News Assessment: The Persuasive Effect of Discursive Evidence in Judging Veracity. MIS Quarterly, 49(3), 823-860. Seidel, S., Frick, C. J., & vom Brocke, J. (2025). Regulating Emerging Technologies: Prospective Sensemaking through Abstraction and Elaboration. MIS Quarterly, 49(1), 179-204. Burton-Jones, A., Boh, W., Oborn, E., & Padmanabhan, B. (2021). Advancing Research Transparency at MIS Quarterly: A Pluralistic Approach. MIS Quarterly, 45(2), iii-xviii. Horton, J. J., & Tambe, P. (2025). The Death of a Technical Skill. Information Systems Research, 36(3), 1799-1820. Chen, Y., Rui, H., & Whinston, A. B. (2025). Conversation Analytics: Can Machines Read Between the Lines in Real-Time Strategic Conversations? Information Systems Research, 36(1), 440-455. Grisold, T., Berente, N., & Seidel, S. (2025). Guardrails for Human-AI Ecologies: A Design Theory for Managing Norm-Based Coordination. MIS Quarterly, 49(4), 1239-1266. Clark, A. (2015). Surfing Uncertainty: Prediction, Action, and the Embodied Mind. Oxford University Press. Recker, J. (2021). Scientific Research in Information Systems: A Beginner's Guide (2nd ed.). Springer. Hirschheim, R., & Klein, H. K. (2012). A Glorious and Not-So-Short History of the Information Systems Field. Journal of the Association for Information Systems, 13(4), 188-235.

We got an update about "aphantasia," the condition where you cannot see mental images, and now we're wondering if we're the weird ones because the way we see the images is apparently strange??? We think we are on the precipice of a scientific discovery that will be named after us. Susie talks about a man who had his wife cryogenically frozen, but now it's awkward because he got a new girlfriend, so hopefully they don't bring the wife back to life or he's going to have a lot of explaining to do. We hear why female scuba divers are better than their male counterparts, and Sarah is soooo happy. We learn about a woman who was stabbed to death (including in the back) and authorities are still claiming it was a suicide. Predictably, Sarah's got a theory. Plus, we learn about a "reparations happy hour" where people of color drink for free thanks to donations from white people who aren't allowed to come, and we debate whether this is a good or bad idea.Brain Candy Podcast Website - https://thebraincandypodcast.com/Brain Candy Podcast Book Recommendations - https://thebraincandypodcast.com/books/Brain Candy Podcast Merchandise - https://thebraincandypodcast.com/candy-store/Brain Candy Podcast Candy Club - https://thebraincandypodcast.com/product/candy-club/Brain Candy Podcast Sponsor Codes - https://thebraincandypodcast.com/support-us/Brain Candy Podcast Social Media & Platforms:Brain Candy Podcast LIVE Interactive Trivia Nights - https://www.youtube.com/@BrainCandyPodcast/streamsBrain Candy Podcast Instagram: https://www.instagram.com/braincandypodcastHost Susie Meister Instagram: https://www.instagram.com/susiemeisterHost Sarah Rice Instagram: https://www.instagram.com/imsarahriceBrain Candy Podcast on X: https://www.x.com/braincandypodBrain Candy Podcast Patreon: https://www.patreon.com/braincandy (JOIN FREE - TONS OF REALITY TV CONTENT)Brain Candy Podcast Sponsors, partnerships, & Products that we love:Get 40% off your first box PLUS get a free item in every box for life. Go to https://www.hungryroot.com/BRAINCANDY and use code BRAINCANDYGet $10 off your first month's subscription plus free shipping when you go to https://nutrafol.com and use promo code BRAINCANDYGot to https://auraframes.com to get $35 off Aura's best-selling Carver Mat frames - named #1 by Wirecutter - by using promo code BRAINCANDY at checkout. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI is becoming ubiquitous in our lives. It shapes how we work, play, interact, create, and even manage our health—and this is only the beginning. To understand where we are and where we might go, we first need to understand how we got here. By tracing the evolving nature of machine intelligence, we can appreciate how today's AI differs from its past and how it is likely to evolve. With that in mind, we can begin to ask the big questions: When should we trust AI over human judgment? How should we govern its development? How will it change what it means to be human? And what roles will humans play in the future of work?To help us through this journey, I'm delighted to welcome back to TRIUM Connects Professor Vasant Dhar, the Robert A. Miller Professor at NYU's Stern School of Business and Professor of Data Science at NYU. Vasant is one of the world's leading thinkers on the impact of AI on society. He was present at the birth of AI and has been involved in every step of its evolution—both as an entrepreneur and as a scholar. He also hosts the acclaimed podcast Brave New World, which explores how machines are transforming humanity in the post-COVID era.In this episode, we discuss his newest book, Thinking With Machines: The Brave New World of AI. It's a remarkable hybrid: part autobiography, tracing how his professional life has intertwined with the development of AI; part user's guide, offering a lucid framework for deciding when to trust machines over human control; and part deep dive into the philosophical and policy implications of creating an alien intelligence.It was a real pleasure to welcome Vasant back onto the show. I learned a lot during our conversation, and I hope you will enjoy it as much as I did.CitationsDawid A, LeCun Y. Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence. arXiv. June 5, 2023.Dennett DC. Intentional systems. J Philos. 1971;68(4):87-106.Dhar V. Thinking With Machines: The Brave New World of AI. Galloway S, foreword. Hoboken, NJ: Wiley; 2025.Frank, R. H., & Cook, P. J. The winner-take-all society: Why the few at the top get so much more than the rest of us. Penguin Books; 1995.Ganguli D, Askell A, Henighan T, et al. Alignment faking in large language models. arXiv. December 20, 2024.Harari YN. Nexus: A Brief History of Information Networks from the Stone Age to AI. New York, NY: Random House; 2024.Kauffmann J, Dippel J, Ruff L, et al. Explainable AI reveals Clever Hans effects in unsupervised learning models. Nat Mach Intell. 2025;7:1–10.Pearl J, Mackenzie D. The Book of Why: The New Science of Cause and Effect. New York, NY: Basic Books; 2018.Pfungst O. Clever Hans (The Horse of Mr. Von Osten): A Contribution to Experimental Animal and Human Psychology. Rahn H, trans. New York: Henry Holt; 1911.Popper KR. The Logic of Scientific Discovery. London, UK: Hutchinson; 1959Suleyman M, Bhaskar M. The Coming Wave: Technology, Power, and the Twenty-First Century's Greatest Dilemma. New York, NY: Crown; 2023.Yudkowsky E, Soares N. If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All. New York, NY: Little, Brown and Company; 2025. Hosted on Acast. See acast.com/privacy for more information.

A key problem in empirically oriented research, especially inductive and abductive work, is figuring out which theoretical lens or scaffold to apply to uncover novel insights. In other words, which theory should you use? We discuss a few heuristics scholars can draw on to reach a higher level of scholarly maturity, namely disposition, empirical salience, outcome definition, skepticism, and reflexivity. Episode reading list Recker, J. (2021). Scientific Research in Information Systems: A Beginner's Guide (2nd ed.). Springer. Quine, W. V. O. (1961). Two Dogmas of Empiricism. In W. V. O. Quine (Ed.), From a Logical Point of View (pp. 20-46). Cambridge University Press. Duhem, P. (1998). Physical Theory and Experiment. In M. Curd & J. A. Cover (Eds.), Philosophy of Science: The Central Issues (pp. 257-279). Norton. Popper, K. R. (1959). The Logic of Scientific Discovery. Basic Books. Glikson, E., & Woolley, A. W. (2020). Human Trust in Artificial Intelligence: Review of Empirical Research. Academy of Management Annals, 14(2), 627-660. Recker, J., Zeiss, R., & Mueller, M. (2024). iRepair or I Repair? A Dialectical Process Analysis of Control Enactment on the iPhone Repair Aftermarket. MIS Quarterly, 48(1), 321-346. Kotter, J. P. (1996). Leading Change. Harvard Business School Press. Kerr, N. L. (1998). HARKing: Hypothesizing After the Results are Known. Personality and Social Psychology Review, 2(3), 196-217. Lindberg, A., Berente, N., Howison, J., & Lyytinen, K. (2024). Discursive Modulation in Open Source Software: How Communities Shape Novelty and Complexity. MIS Quarterly, 48(4), 1395-1422. Lindberg, A., Berente, N., Gaskin, J., & Lyytinen, K. (2016). Coordinating Interdependencies in Online Communities: A Study of an Open Source Software Project. Information Systems Research, 27(4), 751-772. Chandar, B. (2025): AI and Labor Markets: What We Know and Don't Know. https://digitaleconomy.stanford.edu/news/ai-and-labor-markets-what-we-know-and-dont-know/.

The scientific method has undoubtedly provided great insight into the impersonal mechanics of the world around us throughout human history. However, the scientific method itself is put into practice by very personal human beings. How should our understanding of ourselves and our personal identities interact with what we learn through science? Today, hosts Robert J. Marks and Angus Menuge speak Read More › Source

We live in an age where truth twists into confusion, opinion drowns out data, and it's increasingly difficult to figure out whose expertise we can trust.Where did our mistrust in expertise come from? Its roots stretch back to deliberate misinformation campaigns beginning in the 1950s spread by the likes of Big Tobacco, Big Oil, and conservative church movements. Then social media poured gasoline on the fire, accelerating the spread of misinformation and making sowing division highly profitable.Misinformation campaigns take advantage of our brains' natural tendency to protect the familiar and mistrust outgroups. And they capitalize on the very real betrayals people have experienced at the hands of corporations, governments, schools, and healthcare systems.Our challenge now isn't just knowing the facts, it's interrogating our own beliefs, asking where our evidence comes from, and resisting the pull of certainty. As leaders, we need to discern who we give our attention to, practice critical thinking, resist manufactured controversy, and platform voices committed to both truth and connection.Today's guest is a neuroscientist and author of Why Brains Need Friends, who works to make science accessible, relational, and rooted in respect. He doesn't focus on winning arguments or shaming people into submission. He focuses on bridging divides, building trust, and reminding us that our brains–and our lives–are wired for connection.Ben Rein, PhD is an award-winning neuroscientist and science communicator. He serves as the Chief Science Officer of the Mind Science Foundation, an Adjunct Lecturer at Stanford University, and a Clinical Assistant Professor at SUNY Buffalo. He has published over 20 peer-reviewed papers on the neuroscience of social behavior, and is the author of Why Brains Need Friends: The Neuroscience of Social Connection. In addition, Rein educates an audience of more than 1 million social media followers and has been featured on outlets including Entertainment Tonight, Good Morning America and StarTalk with Neil DeGrasse Tyson. He has received awards for his science communication from the National Academies of Science, Engineering, and Medicine, the Society for Neuroscience, and elsewhere.Listen to the full episode to hear:How an especially vivid nightmare redirected Ben's path to neuroscienceWhy the division and isolation of modern life is so bad for our brains and overall healthHow engaging with strangers isn't as awkward as we often think it is, and why we should do it moreHow small social interactions build our sense of belonging, community, and wellbeingWhy we need to recognize and then override our gut reactions to those we perceive as belonging to outgroupsHow social media sound bites vastly oversimplify the complex and unknown systems in our brainsWhy Ben's primary mission to to help people understand the value of looking to data and evidence rather than personalities and experiencesWhy we all have to get better at fact-checking and questioning why we're ready to believe somethingLearn more about Dr. Ben Rein:WebsiteInstagram: @dr.benreinWhy Brains Need Friends: The Neuroscience of Social ConnectionLearn more about Rebecca:rebeccaching.comWork With RebeccaThe Unburdened Leader on SubstackSign up for the weekly Unburdened Leader EmailResources:Golden Holocaust: Origins of the Cigarette Catastrophe and the Case for Abolition, Robert N Proctor"Assessing ExxonMobil's climate change communications (1977–2014),” Geoffrey Supran and Naomi Oreskes, 2017 Environmental Research Letters 12 084019The Creationists: From Scientific Creationism to Intelligent Design, Ronald L. Numbers"Misinformation and Its Correction Continued Influence and Successful Debiasing,” Stephan Lewandowsky et al., 2012 Psychological Science in the Public Interest, 13(3)The Logic of Scientific Discovery, Karl PopperSciSpaceSapiens: A Brief History of Humankind, Yuval Noah HarariDune, Frank HerbertThe Poisoner's Handbook: Murder and the Birth of Forensic Medicine in Jazz Age New York, Deborah BlumTory Lanez - Gangland x Fargentina 4EVR (feat. Wolfgang Peterson & Kai)Hard Knocks: Training CampCourage the Cowardly Dog

Bioengineer Michael Fischbach studies alternative vaccine delivery methods, like self-administered creams with no needles, health professionals, or side effects. He teases a day when vaccines that don't make you feel bad come in the mail in ketchup-style packets. Such innovations would greatly improve vaccine uptake, especially in developing countries, and speed global response to novel viruses. It would change how we think about vaccines, Fischbach tells host Russ Altman on this episode of Stanford Engineering's The Future of Everything podcast.Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.Episode Reference Links:Stanford Profile: Michael FischbachConnect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / FacebookChapters:(00:00:00) IntroductionRuss Altman introduces guest Michael Fischbach, a professor of bioengineering at Stanford University.(00:04:24) Cream-Based VaccinesThe discovery that revealed the skin's ability to spark systemic immunity.(00:07:36) Engineering ImmunityModifying staph epidermidis to carry antigens and test immune response.(00:09:38) Tumor RegressionHow engineered bacteria triggered tumor-killing immunity in mice.(00:12:53) Antibody DiscoveryEvidence that skin exposure can generate long-lasting antibodies.(00:17:02) Antibody Response in HumansWhether humans show antibody responses to their own skin bacteria.(00:18:42) Turning Bacteria into VaccinesEmbedding harmless pathogen fragments into bacterial surface proteins.(00:20:55) Immunity Without ShotsHow mice achieved vaccine-level immunity through topical application.(00:24:00) Reimagining Vaccine DeliveryThe potential for self-applied, needle-free, and multiplexed vaccines.(00:26:50) Mechanism Behind Skin ImmunityHow skin immune cells may constantly sample microbes for defence.(00:28:14) Next Steps in DevelopmentThe path toward testing safety, dosage, and delivery in higher models.(00:29:57) Choosing Vaccine TargetsViruses and diseases that could be targets for early skin-based vaccines.(00:31:11) Safety and ReversibilityEnsuring safety with reversible bacteria and limited trial participants.(00:33:04) Transitioning to BiotechTransitioning research from Stanford to large-scale biotech development.(00:34:31) Future In a MinuteRapidfire Q&A: creative science, vaccine innovation, and biology's future.(00:36:56) Conclusion Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Women scientists and inventors have been making ground-breaking discoveries since Agnodice pretended to be a man in order to become the first female anatomist in ancient Greece. Yet, women's scientific contributions have historically been hidden in the footnotes of the work men claimed as their own. Women scientists are banding together to call out bias and give credit where it’s due— one Wikipedia page at a time. This hour, we talk to four of them. GUESTS: Ainissa Ramirez: Author, scientist, and science communicator. She gave a TED talk on the importance of STEM education and was a mechanical engineering professor at Yale for ten years. She is the author of The Alchemy of Us: How Humans and Matter Transformed One Another Kathryn Clancy: Professor of Anthropology at the University of Illinois Emily Temple-Wood - Family medicine resident and founder of WikiProject Women Scientists Jessica Wade: Royal Society University Research Fellow and Lecturer in Functional Materials at Imperial College London Subscribe to The Noseletter, an email compendium of merriment, secrets, and ancient wisdom brought to you by The Colin McEnroe Show. The Colin McEnroe Show is available as a podcast on Apple Podcasts, Spotify, Amazon Music, TuneIn, Listen Notes, or wherever you get your podcasts. Subscribe and never miss an episode! Our programming is made possible thanks to listeners like you. Please consider supporting this show and Connecticut Public with a donation today by visiting ctpublic.org/donate. Colin McEnroe and Chion Wolf contributed to the show, which originally aired April 9, 2019.Support the show: http://www.wnpr.org/donateSee omnystudio.com/listener for privacy information.

Oura CEO Tom Hale talks with TITV Host Akash Pasricha about raising $900M at an $11B valuation and the company's AI-driven plans for the future of health tech. We also talk with Brex CEO Pedro Franceschi about the company's "unconstrained ambition" and how they're competing with incumbents. The Information's Stephanie Palazzolo explains the rise of "NeoClouds" and the race to rent out NVIDIA chips. Lastly, we get into AI-powered material science with Radical AI CEO Joseph Krause.Articles discussed on this episode:https://www.theinformation.com/articles/race-rent-nvidia-chips-cloud-intensifiesTITV airs on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Subscribe to: - The Information on YouTube: https://www.youtube.com/@theinformation4080/?sub_confirmation=1- The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agenda

Fr. Spitzer and Doug discuss the theory of evolution, whether there are parameters for which Catholics can believe in this theory, and how unique transphysical souls play a part.

We are together in South Bend and teach a class to PhD students in the Mendoza College of Business at the University of Notre Dame. Our joint teaching experience makes us wonder: What should all doctoral students learn or what should we all teach the next generation of IS students? We come up with Nick's rules for a good PhD education: First, understand what knowledge and inferences are. Second, learn different methods and then deep dive into a primary method. Third, pick a domain and learn its foundations and history. Fourth, develop a mindset of mastery to become the world's expert on your topic. And finally, develop and hone your writing skills.  Episode reading list Bacon, F. (1620/2019). Novum Organum. Anodos. Hume, D. (1748/1998). An Enquiry Concerning Human Understanding. In J. Perry & M. E. Bratman (Eds.), Introduction to Philosophy: Classical and Contemporary Readings (3rd ed., pp. 190-220). Oxford University Press. Popper, K. R. (1959). The Logic of Scientific Discovery. Basic Books. Yin, R. K. (2009). Case Study Research: Design and Methods (4th ed.). Sage Publications. Berente, N., Ivanov, D., & Vandenbosch, B. (2007). Process Compliance and Enterprise Systems Implementation. In: Proceedings of the 40th Annual Hawaii International Conference on System Sciences. Waikoloa, Hawaii, pp. 222-231. Castelo, N., Bos, M. W., & Lehmann, D. R. (2019). Task-Dependent Algorithmic Aversion. Journal of Marketing Research, 56(5), 809-825. Recker, J. (2021). Scientific Research in Information Systems: A Beginner's Guide (2nd ed.). Springer. Mackie, J. L. (1965). Causes and Conditions. American Philosophical Quarterly, 2(4), 245-264. Gable, G. G. (1994). Integrating Case Study and Survey Research Methods: An Example in Information Systems. European Journal of Information Systems, 3(2), 112-126. Chalmers, A. F. (2013). What Is This Thing Called Science? (4th ed.). Hackett. Shadish, W. R., Cook, T. D., & Campbell, D. T. (2001). Experimental and Quasi-Experimental Designs for Generalized Causal Inference (2nd ed.). Houghton Mifflin. Taylor, F. W. (1911). The Principles of Scientific Management. Harper and Bros. March, J. G., & Simon, H. A. (1958). Organizations. John Wiley & Sons. Nelson, R. R., & Winter, S. G. (1982). An Evolutionary Theory of Economic Change. Harvard University Press. 

From innovation pipeline movement to Series B funding, leadership changes and so much more, BiomEdit is on the move. This week, CEO Aaron Schacht joins Agbioscience to talk scientific discovery, artificial intelligence, creating “and” solutions and how he approaches adding to his team in a meaningful way. Highlights include:  An overview of BiomEdit's innovation pipeline and what has Aaron most excited right now Optavant – BE-101 – and its movement through the USDA regulatory process, what the technology is designed to do and its benefit to the poultry industry Creating solutions that establish certainty for producers – having the economics make sense to where they can realize the full genetic potential of the animal Finding the right messages to connect consumers to straightforward understanding of how their food is produced and why these innovations are so important for them How the BiomEdit team approaches scientific discovery  The company's latest Series B fundriase -- $18.4 M – and what it will enable the company to do New leadership additions and how they add not only competencies, but culture to the BiomEdit team Aaron's vision for the continued opportunity to marry the AI-driven predictive analysis with scientific discovery to drive this work forward – and some incredible updates for their team in this space What's ahead for BiomEdit 

Wednesday 17 September 2025 To hear the fascinating FULL idiscussion, become a MEMBER today and enjoy this and other full featured content.   "Reconquest" is a militant, engaging, and informative Catholic radio program featuring interviews with interesting guests as well as commentary by your host. It is a radio-journalistic extension of the Crusade of Saint Benedict Center.

The 2021 winner of the Nobel Prize in medicine, Ardem Patapoutian speaks of his love for science, why he wishes he had an MD, and the importance of getting out of the lab to inspire young people. This podcast is intended for healthcare professionals only. To read a transcript or to comment, visit: https://www.medscape.com/author/bob-harrington Nobel Prize in Physiology or Medicine 2021 https://pubmed.ncbi.nlm.nih.gov/39429349/ https://www.nobelprize.org/prizes/medicine/2021/press-release/ Piezo1 and Piezo2 are essential components of distinct mechanically activated cation channels https://pubmed.ncbi.nlm.nih.gov/20813920/ PIEZOs mediate neuronal sensing of blood pressure and the baroreceptor reflex https://doi.org/10.1126/science.aau6324 PIEZO Ion Channels in Cardiovascular Functions and Diseases https://doi.org/10.1161/CIRCRESAHA.123.322798 You may also like: Hear John Mandrola, MD, with his summary and perspective on the top cardiology news each week, on This Week in Cardiology https://www.medscape.com/twic Questions or feedback, please contact news@medscape.net

Fr. Spitzer and Doug discuss the “partnership” theory of divine inspiration, noting how the biblical author plays a role in revealed text and is not simply a transcriptionist.

Fr. Spitzer and Doug discuss the reasons why the Bible is not intended to provided scientific facts. They also examine why science should not be used to explain revelation.

Today Joseph Krause and Jorge Colindres of Radical AI join The Cognitive Revolution to discuss their ambitious mission to revolutionize materials science by combining AI-powered discovery engines with fully autonomous robotic laboratories, exploring how they're accelerating the development of breakthrough materials like high-entropy alloys and room temperature superconductors that could unlock hypersonic flight, interplanetary travel, and other transformative technologies. Check out our sponsors: Oracle Cloud Infrastructure, Shopify. Shownotes below brought to you by Notion AI Meeting Notes - try one month for free at ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://⁠⁠notion.com/lp/nathan Material Development Challenges: Current material development faces three major obstacles: costs exceeding $100 million, 10-25 year commercialization timelines, and fragmentation between academic research and corporate R&D. Business Model Approach: Radical AI determined that selling software or licensing materials would be insufficient business models. Instead, they focus on selling materials at scale for high-impact industries. Focus on Processing IP: The real IP value in material science isn't just in composition patents but in the trade secrets of scaling production efficiently and cost-effectively. Public-Private Partnership: Radical AI advocates for government involvement in material science through public-private partnerships, particularly for critical applications in defense, energy, and advanced computing. China's Material Science Approach: China establishes entire manufacturing hubs around new material discoveries to scale production, demonstrating their prioritization of materials as foundational to innovation. Culture of Productive Failure: The company embraces daily failure as a necessary part of innovation, building on these failures to achieve breakthroughs. Sponsors: Oracle Cloud Infrastructure: Oracle Cloud Infrastructure (OCI) is the next-generation cloud that delivers better performance, faster speeds, and significantly lower costs, including up to 50% less for compute, 70% for storage, and 80% for networking. Run any workload, from infrastructure to AI, in a high-availability environment and try OCI for free with zero commitment at https://oracle.com/cognitive Shopify: Shopify powers millions of businesses worldwide, handling 10% of U.S. e-commerce. With hundreds of templates, AI tools for product descriptions, and seamless marketing campaign creation, it's like having a design studio and marketing team in one. Start your $1/month trial today at https://shopify.com/cognitive

In the second episode on metascience, we discuss the benefits of metascientific study according to Mario Bunge, some key milestones in sociology, psychology, and anthropology of science, and whether there should be a science of the science of science.   Shownotes Galton, F. (1874). English men of science: Their nature and nurture. McMillian & Co. https://archive.org/details/englishmenofscie00galtuoft Latour, B. & Woolgar, S. (1979). Laboratory life: The social construction of scientific facts. Sage Publications.  Candolle, A. de (with Fisher - University of Toronto). (1873). Histoire des sciences et des savants depuis deux siècles; suivie d'autres études sur des sujets scientifiques, en particulier sur la sélection dans l'espèce humaine. Genève, Georg. http://archive.org/details/histoiredesscie00cand Vaesen, K. (2021). French Neopositivism and the Logic, Psychology, and Sociology of Scientific Discovery. HOPOS: The Journal of the International Society for the History of Philosophy of Science, 11(1), 183–200. https://doi.org/10.1086/712934  

Intelligent Design as Fuel for Scientific Discovery (2025 Dallas Conference on Science & Faith). ACU Saturday Series. Geologist Casey Luskin explains how the theory of intelligent design provides fuel for scientific discovery. Dr. Luskin is Associate Director of the Center for Science and Culture at Discovery Institute. Presented at the 2025 Dallas Conference on Science and Faith. Watch this video at-  https://youtu.be/M_4aBu2g8A8?si=jZsh1KbN7CACBAuT Discovery Science 278K subscribers 108,046 views Jul 7, 2025 ============================ Are you interested in the origins of life and the universe? Get this free book and explore the debate between Darwinian evolution and intelligent design. If you're intrigued by the origins of life, this is a must-read. It might change the way you view our world. As a special gift from the director of the CSC, Dr. Stephen Meyer, you can download his 32-page mini-book Scientific Evidence for a Creator for FREE: https://evolutionnews.org/_/sefac The Discovery Science News Channel is the official Youtube channel of Discovery Institute's Center for Science & Culture. The CSC is the institutional hub for scientists, educators, and inquiring minds who think that nature supplies compelling evidence of intelligent design. The CSC supports research, sponsors educational programs, defends free speech, and produce articles, books, and multimedia content. For more information visit: https://www.discovery.org/id/ https://evolutionnews.org/ https://intelligentdesign.org/ Follow us: X:   / discoverycsc   Facebook:   / discoverycsc   Instagram:   / discoverycsc   TikTok:   / discoverycsc   Visit other Youtube channels connected to the Center for Science & Culture Discovery Institute:    / discoveryinstitute   Dr. Stephen C. Meyer:    / drstephenmeyer  

This podcast was created using NotebookLM. This podcast emphasizes the increasing importance of geriatric dentistry due to the aging population and highlights how case reports are fundamental to educating future oral healthcare providers in this field. 

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As global food demand accelerates, the agricultural sector faces rising pressure to innovate faster, safer, and more sustainably. Today's guest on the ‘AI in Business' podcast is Brian Lutz, the Vice President of Agricultural Solutions at Corteva Agriscience, the world's leading pure-play seed and crop protection company. Brian joins Emerj Senior Editor Matthew DeMello to discuss their partnership with Deloitte to drive AI for discovery across biology and chemistry in agriculture. He explains how Corteva integrates AI into every phase of R&D — from genetic optimization in seeds to molecule discovery in crop protection. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business' podcast! This episode is sponsored by Deloitte. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

The market for ag biologicals is projected to grow significantly according to Grandview Research – making the leap from $11B market in 2024 to a $16.8B in 2030. One Indiana company has recently created a strategic alliance to drive biological innovation at every stage of the crop nutrition cycle. Dr. Tanya Soule, Vice President of Microbiology at BW Fusion, joins us to talk science, producers and the farm. We get into: What biologicals are and how they benefit farmers How they work in tandem with other fertilizers and modes of crop protection to drive yield BW Fusion's approach to scientific discovery and innovation How the company got into the agbioscience industry – it wasn't its first vertical Bain Capital Double Impact's support that led to the strategic alliance between BW Fusion, Biodyne USA and Agronomy 365 and what that has allowed them to do from an innovation perspective The farmers' role in advancing innovation at BW Fusion Why Tanya, a career academic, made the switch to working with the BW Fusion team and coming to the agbiosciences Her advice for young scientists What's ahead for BW Fusion

The market for ag biologicals is projected to grow significantly according to Grandview Research – making the leap from $11B market in 2024 to a $16.8B in 2030. One Indiana company has recently created a strategic alliance to drive biological innovation at every stage of the crop nutrition cycle. Dr. Tanya Soule, Vice President of Microbiology at BW Fusion, joins us to talk science, producers and the farm. We get into:  What biologicals are and how they benefit farmers How they work in tandem with other fertilizers and modes of crop protection to drive yield BW Fusion's approach to scientific discovery and innovation How the company got into the agbioscience industry – it wasn't its first vertical Bain Capital Double Impact's support that led to the strategic alliance between BW Fusion, Biodyne USA and Agronomy 365 and what that has allowed them to do from an innovation perspective The farmers' role in advancing innovation at BW Fusion Why Tanya, a career academic, made the switch to working with the BW Fusion team and coming to the agbiosciences Her advice for young scientists What's ahead for BW Fusion 

Much of the scientific process involves searching. But rather than continue to rely on the luck of discovery, Google DeepMind has engineered a more efficient AI agent that mines complex spaces to facilitate scientific breakthroughs. Sarah Guo speaks with Pushmeet Kohli, VP of Science and Strategic Initiatives, and research scientist Matej Balog at Google DeepMind about AlphaEvolve, an autonomous coding agent they developed that finds new algorithms through evolutionary search. Pushmeet and Matej talk about how AlphaEvolve tackles the problem of matrix multiplication efficiency, scaling and iteration in problem solving, and whether or not this means we are at self-improving AI. Together, they also explore the implications AlphaEvolve has to other sciences beyond mathematics and computer science. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @pushmeet | @matejbalog Chapters: 00:00 Pushmeet Kohli and Matej Balog Introduction 0:48 Origin of AlphaEvolve 02:31 AlphaEvolve's Progression from AlphaGo and AlphaTensor 08:02 The Open Problem of Matrix Multiplication Efficiency 11:18 How AlphaEvolve Evolves Code 14:43 Scaling and Predicting Iterations 16:52 Implications for Coding Agents 19:42 Overcoming Limits of Automated Evaluators 25:21 Are We At Self-Improving AI? 28:10 Effects on Scientific Discovery and Mathematics 31:50 Role of Human Scientists with AlphaEvolve 38:30 Making AlphaEvolve Broadly Accessible 40:18 Applying AlphaEvolve Within Google 41:39 Conclusion

My guest is Dr. Jay Bhattacharya, MD, PhD, Director of the National Institutes of Health (NIH) and Professor Emeritus of Health Policy at Stanford University. We discuss which scientific questions ought to be the priority for NIH, how to incentivize bold, innovative science especially from younger labs, how to solve the replication crisis and restore trust and transparency in science and public health, including acknowledging prior failures by the NIH. We discuss the COVID-19 pandemic and the data and sociological factors that motivated lockdowns, masking and vaccine mandates. Dr. Bhattacharya shares his views on how to resolve the vaccine–autism debate and how best to find the causes and cures for autism and chronic diseases. The topics we cover impact everyone: male, female, young and old and, given that NIH is the premier research and public health organization in the world, extend to Americans and non-Americans alike. Read the episode show notes at hubermanlab.com. Thank you to our sponsors AG1: https://drinkag1.com/huberman David: https://davidprotein.com/huberman Eight Sleep: https://eightsleep.com/huberman Levels: ⁠https://levels.link/huberman⁠ LMNT: https://drinklmnt.com/huberman Timestamps 00:00:00 Jay Bhattacharya 00:06:56 National Institutes of Health (NIH), Mission 00:09:12 Funding, Basic vs. Applied Research 00:18:22 Sponsors: David & Eight Sleep 00:21:20 Indirect Costs (IDC), Policies & Distribution 00:30:43 Taxpayer Funding, Journal Access, Public Transparency 00:38:14 Taxpayer Funding, Patents; Drug Costs in the USA vs Other Countries 00:48:50 Reducing Medication Prices; R&D, Improving Health 01:00:01 Sponsors: AG1 & Levels 01:02:55 Lowering IDC?, Endowments, Monetary Distribution, Scientific Groupthink 01:12:29 Grant Review Process, Innovation 01:21:43 R01s, Tenure, Early Career Scientists & Novel Ideas 01:31:46 Sociology of Grant Evaluation, Careerism in Science, Failures 01:39:08 “Sick Care” System, Health Needs 01:44:01 Sponsor: LMNT 01:45:33 Incentives in Science, H-Index, Replication Crisis 01:58:54 Scientists, Data Fraud, Changing Careers 02:03:59 NIH & Changing Incentive Structure, Replication, Pro-Social Behavior 02:15:26 Scientific Discovery, Careers & Changing Times, Journals & Publications 02:19:56 NIH Grants & Appeals, Under-represented Populations, DEI 02:28:58 Inductive vs Deductive Science; DEI & Grants; Young Scientists & NIH Funding 02:39:38 Grant Funding, Identity & Race; Shift in NIH Priorities 02:51:23 Public Trust & Science, COVID Pandemic, Lockdowns, Masks 03:04:41 Pandemic Mandates & Economic Inequality; Fear; Public Health & Free Speech 03:13:39 Masks, Harms, Public Health Messaging, Uniformity, Groupthink, Vaccines 03:22:48 Academic Ostracism, Public Health Messaging & Opposition 03:30:26 Culture of American Science, Discourse & Disagreement 03:36:03 Vaccines, COVID Vaccines, Benefits & Harms 03:47:05 Vaccine Mandates, Money, Public Health Messaging, Civil Liberties 03:54:52 COVID Vaccines, Long-Term Effects; Long COVID, Vaccine Injury, Flu Shots 04:06:47 Do Vaccines Cause Autism?; What Explains Rise in Autism 04:18:33 Autism & NIH; MAHA & Restructuring NIH? 04:25:47 Zero-Cost Support, YouTube, Spotify & Apple Follow & Reviews, Sponsors, YouTube Feedback, Protocols Book, Social Media, Neural Network Newsletter Disclaimer & Disclosures Learn more about your ad choices. Visit megaphone.fm/adchoices

The search for life beyond Earth is no longer science fiction—it takes a lot of data, powerful telescopes and a bit of cosmic detective work. And at the center of this search is University of Chicago astrophysicist Jacob Bean. Bean was part of the team that made history by detecting carbon dioxide in the atmosphere of a distant planet using the James Webb Space Telescope—a major step forward in our ability to study exoplanets.Bean uses cutting-edge tools and discoveries that are reshaping how we think about planet habitability, biosignatures and our place in the universe. From potentially habitable exoplanets like K2-18b to false hopes like Gliese 486b, Bean shares why the atmospheres of these faraway worlds might hold the key to one of humanity's oldest questions: Are we alone in the universe?

Hundreds of U.S.-based scientists are applying to a French university program following major federal research funding cuts in the U.S. France's new initiative promises financial support and academic freedom, prompting what some are calling a potential “brain drain.” The panel discusses the implications for American innovation, global collaboration, and the growing politicization of science funding.News SourceNPR by Alana Wise, April 18, 2025https://www.npr.org/2025/04/18/nx-s1-5368132/us-researchers-scientists-apply-french-university-programThe Non-Prophets, Episode 24.18.2 featuring Cynthia McDonald, Stephen Harder and AJ FranceAttracts U.S. Scientists After Research Cuts

In this episode of For Your Innovation, Brett Winton, along with ARK Invest Chief Investment Strategist, Charles Roberts, and Research Analyst, Nemo Marjanovic, sit down with Geoffrey von Maltzahn, CEO and founder of Lila Sciences and a general partner at Flagship Pioneering. Fresh out of stealth mode, Lila is pioneering the concept of scientific superintelligence—leveraging AI and automation to accelerate discovery across materials science, chemistry, and life sciences. Geoffrey shares his vision for transforming the scientific method into an AI-driven engine that pushes the boundaries of innovation at unprecedented speeds. The conversation explores the limitations of traditional scientific research, the role of AI-driven autonomous labs, and how Lila aims to revolutionize hypothesis testing and experimentation. Geoffrey discusses how scientific intelligence can scale across domains, the importance of proprietary data, and why unlocking AI's potential in science could be one of the most valuable technological advances of our time.Key Points From This Episode:ARK Invest sees Lila as a transformative opportunity.Lila's AI science factories are reinventing research.We're experiencing breakthroughs in mRNA and material science through AI.Scientists roles are evolving in an AI-powered world.

Is “now” just an illusion? Neil deGrasse Tyson and comic co-host Paul Mecurio answer questions on the Higgs Field, dark energy, and the feasibility of Dyson spheres with astrophysicist Hakeem Oluseyi.NOTE: StarTalk+ Patrons can listen to this entire episode commercial-free here: https://startalkmedia.com/show/hubble-trouble-with-hakeem-oluseyi/Thanks to our Patrons Omar Video, Dan Carson, Joy Jack, Christine Bryant, Andrea Andrade, mahmoud hassan, Kyal Murray, Mercedes Dominguez, Christopher Rogalski, Eric De Bruin, Telmore, Gabe Ramshaw, James Edward Humphrey, Laurel Herbert, AJ Chambers, Bill WInn, Mayson Howell, Julianne Markow, Manthan Patel, Sonya Ponds, Depression Rawr, David Leys, Garon Devine, Vishal Ayeppun, BIIZZxGaming, Kurt Clark, Max Goldberg, Beth McDaniel, Shelby Staudenmaier, Kinnick Sutton, Jane von Schilling, Joanne karl, Walter Kinslow, and Eric Johnston for supporting us this week. 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.

Is fusion the future of energy and space travel? Neil deGrasse Tyson and co-host Paul Mecurio explore the cutting-edge science of plasma physics and fusion energy with Fatima Ebrahimi, a physicist at Princeton Plasma Physics Lab.NOTE: StarTalk+ Patrons can listen to this entire episode commercial-free here: https://startalkmedia.com/show/the-future-of-fusion-energy-with-fatima-ebrahimi/Thanks to our Patrons Christopher Salins, Alan Zismann, Paul Johansson, Aaron Brodsky, Debbie Fleming, Thayna Scarpetto, Kris, Jacob Mayfield, Danny Desmond, Tim Ellis, The Running Knitter, Kevin Collins, Mario Funes, Wendi McCall, Paula Patzova, derek lindstrom, Dave Jankus, Mercy Robinson, Linda Safarli, Hexeris, Julian Rassolov, Templex, Joseph, Adrian Aguilar, Nathan Colbert, Andoni Cardenas Huerta, Terrance B, William Strawbridge, Gabriel Torres, enrico janssens, Jonathan Winterrowd, Valentin Scherrer. For Chuck, just call me Val, Ozzie Springer, and Moon Light for supporting us this week. 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.

How much more physics is out there to be discovered? Neil deGrasse Tyson sits down with physicist, professor, and rockstar Brian Cox, to discuss everything from the Higgs boson, life beyond our planet, and the fundamental forces that guide our universe.NOTE: StarTalk+ Patrons can listen to this entire episode commercial-free here: https://startalkmedia.com/show/our-world-of-particles-with-brian-cox/Thanks to our Patrons Anthony Sclafani, Alejandro Arriola-Flores, Brian Christensen, Allen Baker, Atlanta Gamer, Nigel Gandy, Gene, Lisa Mettler, Daniel Johansson, Sunny Malhotra, Omar Marcelino, yoyodave, Mo TheRain, William Wilson, ChrissyK, David, Prabakar Venkataraman, PiaThanos22, BlackPiano, Radak Bence, Obaid Mohammadi, the1eagleman1, Scott Openlander, Brandon Micucci, Anastasios Kotoros, Thomas Ha, Phillip Thompson, Bojemo, Kenan Brooks, jmamblat@duck.com, TartarXO, Trinnie Schley, Davidson Zetrenne, and William Kramer for supporting us this week. Subscribe to SiriusXM Podcasts+ on Apple Podcasts to listen to new episodes ad-free and a whole week early.

Stephen Dubner, live on stage, mixes it up with outbound mayor London Breed, and asks economists whether A.I. can be “human-centered” and if Tang is a gateway drug. SOURCES:London Breed, former mayor of San Francisco.Erik Brynjolfsson, professor of economics at Stanford UniversityKoleman Strumpf, professor of economics at Wake Forest University RESOURCES:"SF crime rate at lowest point in more than 20 years, mayor says," by George Kelly (The San Francisco Standard, 2025)"How the Trump Whale and Prediction Markets Beat the Pollsters in 2024," by Niall Ferguson and Manny Rincon-Cruz (Wall Street Journal, 2024)"Artificial Intelligence, Scientific Discovery, and Product Innovation," by Aidan Toner-Rodgers (MIT Department of Economics, 2024) EXTRAS:"Why Are Cities (Still) So Expensive?" by Freakonomics Radio (2020)