Podcasts about scientific discovery

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 ...

Send a textWhy do some scientific breakthroughs begin with ridicule?In this episode, we explore cancer research, serendipity, and the philosophy behind unconventional biomedical innovation.Dr. Alexander Shneider, Ph.D. is a biotech entrepreneur and scientist with more than three decades of experience spanning oncology, immunology, vaccines, and translational medicine. He is the Founder and CEO of CureLab Oncology ( https://www.curelaboncology.com/ ), where he is leading the development of a novel biological agent designed to fight cancer through a dual approach—stimulating anti-tumor immunity while also addressing the chronic inflammation that often underlies disease progression.CureLab's lead therapeutic, Elenagen, has demonstrated a strong safety profile and encouraging signals of clinical benefit in international Phase II studies, and is being explored both as an adjunct to standard cancer treatments and for its broader potential in inflammation-driven and age-associated diseases. The platform's reach may extend beyond human medicine, with ongoing interest in applications for oncology in companion animals.Over the course of his career, Dr. Shneider has advised biotechnology, pharmaceutical, and investment organizations across areas including R&D strategy, licensing, technology transfer, product development, and intellectual property. He previously founded CureLab, Inc., where he worked on tools for the rational design of DNA vaccines and the development of broad-spectrum influenza vaccine concepts.In academia, Dr. Shneider has held professor-level appointments and led the Genetic Vaccine Laboratory at Sechenov University, where he helped establish multicenter clinical research infrastructure focused on diseases involving chronic inflammation. His research has also explored evolutionarily conserved RNA structures as targets for antiviral therapies and next-generation vaccine design.In addition to his scientific and entrepreneurial work, he serves on the editorial boards of several peer-reviewed journals in immunology and aging research, reflecting his long-standing engagement at the intersection of basic science, clinical translation, and biotechnology innovation.#CancerResearch #BiomedicalScience #CancerInnovation#ScientificDiscovery #PhilosophyOfScience #Biotech #MedicalInnovation#Oncology #BreakthroughScience #StartupScience #SciencePodcast #DrugDevelopment #Serendipity #Innovation  #FutureOfMedicineSupport the show

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/ 

Dive into the future of quantum research with Episode 1 of Season 8 of the Qubit Value Podcast, where the conversation centers on the groundbreaking "Great Collision" of February 2026. This episode explores a monumental shift in technology as AI models like Claude 4.6 Opus and GPT 5.3 Codex transition from simple chatbots to fully autonomous agents capable of translating dense academic physics papers into functional quantum circuits in mere minutes. You'll hear about the "Planner and Engineer" dynamic of these models, their role in solving the complex "Implicit Oracle" problem, and how they are compressing 25 years of scientific progress into just five. Whether you're interested in the "hallucination of logic," "vibe coding," or the new era of "agentic science," this episode offers a thrilling look at how AI is removing "translation fatigue" and accelerating our understanding of the very fabric of reality. Want to hear more? Send a message to Qubit Value

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

In this episode of Surfacing Secrets, Balad'EAU explores what scientific discovery actually looks like — not as a single "aha" moment, but as a long-term process built on curiosity, observation, and a willingness to pay attention when things get weird. Hosted by Lyne Morissette, Scientific Discoveries takes you inside Ocean Networks Canada (ONC) to uncover how discoveries emerge when scientists stop chasing answers — and start watching continuously. From marine heatwaves and unexpected ecosystem insights to solar storms interfering with ocean instruments, this episode reveals how long-term data turns surprises into understanding. You'll hear from three voices at the heart of ONC's story: Richard Dewey, former Science Director at ONC, oceanographer Kohen Bauer, who works at the intersection of ocean data, tools, and models at ONC Gwyn Lintern, an early ONC collaborator now with Natural Resources Canada (NRCan), whose work bridges science, risk, and real-world decision-making Together, they share how ONC evolved from answering scientific questions to generating vast, open datasets that researchers — and government departments — now rely on to understand ocean processes, ecosystem health, and environmental risk. This episode dives into: How continuous observation transforms raw data into scientific discovery Why looking for the weird is often the starting point of real breakthroughs What marine heatwaves like the Blob revealed about changing ocean conditions How solar flares were detected deep in the ocean — without anyone looking for them Why understanding when ecosystems are functioning well matters in an age of eco-anxiety How ONC's data supports science, policy, and public safety You'll also hear sounds captured directly from the ocean — including underwater acoustics recorded by ONC's observatories — reminding us that sometimes, discovery isn't something you see, but something you hear. Listen closely — the ocean is always telling a story. Learn more & explore further Ocean Networks Canada: https://www.oceannetworks.ca ONC data & real-time observatories (Ocean 3.0): https://data.oceannetworks.ca ONC YouTube channel (including underwater sounds and observatory footage): https://www.youtube.com/@OceanNetworksCanada Richard Dewey's YouTube channel (sailing the Salish sea): https://www.youtube.com/@o0Splunge0o/videos  Listen to the full interview with Andrew Lewin on the How to Protect The Ocean Podcast: https://www.speakupforblue.com/show/speak-up-for-the-ocean-blue/podcast-55/ Episode produced by: Balad'EAU With the generous support of: Ocean Networks Canada Ocean Networks Canada is one of Canada's Major Research Facilities and an initiative of the University of Victoria. It is primarily funded by the Canada Foundation for Innovation and Fisheries and Oceans Canada. Editing and producation: Tommy Goupil

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

Science Hour - Season 5 - Episode 2: Canreligion Inspire Scientific Discovery by Voice of Islam

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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Yerkes Observatory near Lake Geneva is more than 125 years old, is the site of numerous scientific discoveries, is home the world's largest refracting telescope and has been visited by the likes of Edwin Hubble, Carl Sagan and Albert Einstein.

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 

Dr James Keaveney spoke to Mike Wills about the 120th anniversary of Einstein’s Theory of Relativity, what it meant then, why it still matters now, and how it continues to inform science at UCT, CERN, and beyond. Afternoon Drive with John Maytham is the late afternoon show on CapeTalk. Presenter John Maytham is an actor and author-turned-talk radio veteran and seasoned journalist. His show serves a round-up of local and international news coupled with the latest in business, sport, traffic and weather. The host’s eclectic interests mean the program often surprises the audience with intriguing book reviews and inspiring interviews profiling artists. A daily highlight is Rapid Fire, just after 5:30pm. CapeTalk fans call in, to stump the presenter with their general knowledge questions. Another firm favourite is the humorous Thursday crossing with award-winning journalist Rebecca Davis, called “Plan B”. Thank you for listening to a podcast from Afternoon Drive with John Maytham Listen live on Primedia+ weekdays from 15:00 and 18:00 (SA Time) to Afternoon Drive with John Maytham broadcast on CapeTalk https://buff.ly/NnFM3Nk For more from the show go to https://buff.ly/BSFy4Cn or find all the catch-up podcasts here https://buff.ly/n8nWt4x Subscribe to the CapeTalk Daily and Weekly Newsletters https://buff.ly/sbvVZD5 Follow us on social media: CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/CapeTalk CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567See omnystudio.com/listener for privacy information.

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

Pacific Northwest National Laboratory (PNNL) draws on signature fundamental capabilities to advance scientific discovery, improve energy resiliency, and enhance national security.  On this podcast episode, Laboratory Director Steven Ashby, Ph.D., discusses key drivers and challenges that are steering the lab's important work regarding grid resiliency and affordability. Ashby also tells our listeners about the new Grid Storage Launchpad, a one-of-a-kind Department of Energy facility to develop and test novel battery concepts at scale in a safe environment. Of course, with all these emerging technologies, there are inherent risks—wildfires, and cyberattacks to name a few. Ashby discusses these risks and the ways PNNL is working together with the industry (including by leveraging novel AI capabilities) to quantify and combat problems that can be addressed by advancing the grid.

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

Can a Nobel Prize-winning molecule help slow aging, improve sleep, and boost your energy?In this episode of Better Health Bookshelf, host Mike Capuzzi speaks with Chris Burres, scientist, entrepreneur, and author of Live Longer and Better, about the surprising health benefits of carbon 60—a powerful antioxidant gaining attention as a next-generation longevity supplement. For adults over 50 seeking alternatives to pharmaceutical solutions, this conversation explores what carbon 60 supplements (also known as C60) can really do for energy, inflammation, and healthy aging.Listeners will discover:• What carbon 60 is and why it matters for longevity • The link between C60, oxidative stress, and better sleep • How carbon 60 may support healthy aging from head to toeLearn why more people over 50 are turning to this promising discovery and what it could mean for your health.If you find this episode helpful, please consider subscribing and sharing it with friends and family.

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.

In this episode of Crazy Wisdom, Stewart Alsop speaks with German Jurado about the strange loop between computation and biology, the emergence of reasoning in AI models, and what it means to "stand on the shoulders" of evolutionary systems. They talk about CRISPR not just as a gene-editing tool, but as a memory architecture encoded in bacterial immunity; they question whether LLMs are reasoning or just mimicking it; and they explore how scientists navigate the unknown with a kind of embodied intuition. For more about German's work, you can connect with him through email at germanjurado7@gmail.com.Check out this GPT we trained on the conversation!Timestamps00:00 - Stewart introduces German Jurado and opens with a reflection on how biology intersects with multiple disciplines—physics, chemistry, computation.05:00 - They explore the nature of life's interaction with matter, touching on how biology is about the interface between organic systems and the material world.10:00 - German explains how bioinformatics emerged to handle the complexity of modern biology, especially in genomics, and how it spans structural biology, systems biology, and more.15:00 - Introduction of AI into the scientific process—how models are being used in drug discovery and to represent biological processes with increasing fidelity.20:00 - Stewart and German talk about using LLMs like GPT to read and interpret dense scientific literature, changing the pace and style of research.25:00 - The conversation turns to societal implications—how these tools might influence institutions, and the decentralization of expertise.30:00 - Competitive dynamics between AI labs, the scaling of context windows, and speculation on where the frontier is heading.35:00 - Stewart reflects on English as the dominant language of science and the implications for access and translation of knowledge.40:00 - Historical thread: they discuss the Republic of Letters, how the structure of knowledge-sharing has evolved, and what AI might do to that structure.45:00 - Wrap-up thoughts on reasoning, intuition, and the idea of scientists as co-evolving participants in both natural and artificial systems.50:00 - Final reflections and thank-yous, German shares where to find more of his thinking, and Stewart closes the loop on the conversation.Key InsightsCRISPR as a memory system – Rather than viewing CRISPR solely as a gene-editing tool, German Jurado frames it as a memory architecture—an evolved mechanism through which bacteria store fragments of viral DNA as a kind of immune memory. This perspective shifts CRISPR into a broader conceptual space, where memory is not just cognitive but deeply biological.AI models as pattern recognizers, not yet reasoners – While large language models can mimic reasoning impressively, Jurado suggests they primarily excel at statistical pattern matching. The distinction between reasoning and simulation becomes central, raising the question: are these systems truly thinking, or just very good at appearing to?The loop between computation and biology – One of the core themes is the strange feedback loop where biology inspires computational models (like neural networks), and those models in turn are used to probe and understand biological systems. It's a recursive relationship that's accelerating scientific insight but also complicating our definitions of intelligence and understanding.Scientific discovery as embodied and intuitive – Jurado highlights that real science often begins in the gut, in a kind of embodied intuition before it becomes formalized. This challenges the myth of science as purely rational or step-by-step and instead suggests that hunches, sensory experience, and emotional resonance play a crucial role.Proteins as computational objects – Proteins aren't just biochemical entities—they're shaped by information. Their structure, function, and folding dynamics can be seen as computations, and tools like AlphaFold are beginning to unpack that informational complexity in ways that blur the line between physics and code.Human alignment is messier than AI alignment – While AI alignment gets a lot of attention, Jurado points out that human alignment—between scientists, institutions, and across cultures—is historically chaotic. This reframes the AI alignment debate in a broader evolutionary and historical context, questioning whether we're holding machines to stricter standards than ourselves.Standing on the shoulders of evolutionary processes – Evolution is not just a backdrop but an active epistemic force. Jurado sees scientists as participants in a much older system of experimentation and iteration—evolution itself. In this view, we're not just designing models; we're being shaped by them, in a co-evolution of tools and understanding.

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)