From First Principles

What happens when AI moves beyond the chatbot and into the laboratory? From Claude-designed proteins that bind scorpion toxins to robots that assemble optics experiments, we examine what AI can do for science and what still has to be proven in the real world. Lester Nare and Krishna Choudhary explore the gap between generating a promising design and demonstrating that it works. We also unpack BrainChat, a research platform that lets epilepsy patients interact with their brain-recording data and contribute feedback to seizure detection, and a 15-year study of orangutan mothers facilitating playdates for their young. Along the way: why binding a toxin is not the same as neutralizing it, how patient feedback can help personalize models, and what cloud laboratories and automated experiments could mean for scientific discovery. Which part of science do you think AI will change most? CHAPTERS 00:00 Playdates, brain data and robot labs 00:29 Hello Internet and Signal Award celebration 02:40 Orangutan mothers and infant playdates 15:18 What 15 years of orangutan observations reveal 25:16 Testing the playdate hypothesis 39:30 BrainChat and patient-guided learning 44:57 Putting patients in the feedback loop 1:02:00 Personalizing seizure detection 1:05:33 What the BrainChat study does not yet establish 1:07:59 Anthropic scorpion-toxin binders 1:15:49 Why a toxin binder is not an antivenom 1:18:31 Fast AI designs, slower laboratory testing 1:19:40 Connecting AI to the physical lab 1:23:22 Robotic optics and automated laboratories 1:28:04 Cloud laboratories and remote experiments 1:33:00 Closing the loop with Lila Sciences 1:37:48 Wrap-up RESEARCH & FURTHER READING Orangutan maternal ranging and infant social play (PNAS): https://pubmed.ncbi.nlm.nih.gov/42837467/ BrainChat and human-AI collaboration in epilepsy (Nature Medicine): https://www.nature.com/articles/s41591-026-04680-4 Claude-designed scorpion-toxin binders (Anthropic): https://www.anthropic.com/research/claude-scorpion-toxin-binder-design Robotic optics experiments (MIT News): EDITORIAL NOTES The orangutan findings are observational evidence of mothers facilitating social play, not direct proof of conscious intent. BrainChat was a small feasibility study, not proof of improved clinical outcomes. The scorpion-toxin work demonstrated binding, not a validated antivenom. On-screen clarifications: 15:20 The first author is Odd T. Jacobson. Maria A. van Noordwijk is a coauthor. 16:06 About 32,600 observation hours were collected over 15 years. That is roughly 3.7 years of continuous observation. 40:39 In epilepsy, deep brain stimulation reduces seizure frequency. Tremor is the Parkinson's disease example here. 47:07 The study included 13 participants: 11 with scalp EEG and 2 with intracranial EEG. 51:01 and 51:35 GPT-4o-mini ran in Penn's HIPAA-compliant Azure OpenAI cloud environment, not locally. 1:18:03 This was an Anthropic announcement, in collaboration with Citrini Research. WATCH & LISTEN Episode notes and research: https://ffppod.com/episodes/ep65 Watch and listen: https://ffppod.com Apple Podcasts: https://podcasts.apple.com/us/podcast/id1830375095 Subscribe: https://www.youtube.com/@FromFirstPrinciplesPod?sub_confirmation=1 Support the show: https://ffppod.com/donate Contact: https://ffppod.com/contact Follow @FFPPod on Instagram, TikTok, X and Facebook.

Why does life favor one molecular mirror image? The 2026 Nobel Prize in Chemistry honors Henri B. Kagan and Kenso Soai for nonlinear effects and autocatalysis in asymmetric organic synthesis. Lester Nare and Krishna Choudhary unpack the science from first principles: chirality, Pasteur's crystals, enantiomeric excess, and how a tiny imbalance can grow into an overwhelming preference for one molecular hand. We connect Kagan's catalyst discoveries and the Soai reaction to medicines, the origins of biological handedness, and the serious concerns around hypothetical mirror life. Plus: symmetry in physics, Frances Oldham Kelsey and thalidomide, and our interpretation of a Nobel illustration. CHAPTERS 00:00 Why life has a molecular handedness 01:33 Hello Internet 02:49 The 2026 Chemistry laureates 06:24 Chirality and mirror-image molecules 12:10 Pasteur and the history of handedness 19:36 Why is life's chemistry one-handed? 24:35 Frank and the origin-of-life puzzle 29:14 Enantiomeric excess explained 30:30 Kagan and nonlinear effects 38:58 FFP and symmetry in physics 42:20 Soai and asymmetric autocatalysis 51:28 Why chirality matters for medicine 58:21 What this does and does not explain about life 1:00:25 Mirror life and biological risk 1:10:37 Examining the Nobel illustration 1:14:10 Recap and Nobel week reflections RESEARCH & FURTHER READING Original papers and supporting context: Frank's model (1953): https://doi.org/10.1016/0006-3002(53)90082-1 Puchot, Kagan et al. (1986): https://doi.org/10.1021/ja00269a036 Soai et al. (1995): https://doi.org/10.1038/378767a0 Sato et al., amplification (2003): https://doi.org/10.1002/anie.200390105 Mirror-life risks (2024): https://doi.org/10.1126/science.ads9158 Nobel announcement: https://www.nobelprize.org/prizes/chemistry/2026/press-release/ EDITORIAL NOTES Intro: the 50:50 example describes an unbiased synthesis, not all chemistry. The Soai reaction is a clue to amplification, not proof of how life began. On-screen clarifications: 04:38 B-DNA is right-handed; Z-DNA can form a left-handed helix. 13:56 Pasteur separated sodium ammonium tartrate crystals. 18:48 L/D configuration does not specify optical rotation. 19:10 Proteins mainly use L-amino acids; DNA/RNA use D-sugars. 22:55 Mentos mainly triggers CO2 bubble nucleation. 27:18 Asymmetric catalysis and autocatalysis are distinct. 34:07 0.25 × 0.25 = 0.0625 = 6.25%. 36:31 Inactive mixed catalyst pairs are a simplified model. 37:55 The normalized product-ratio curve need not be parabolic. 42:04 Wu: preferential emission opposite spin; antineutrinos also emitted. 45:30 5-pyrimidyl alkanol; an alkanol is an alcohol. 47:10 The tiny-imbalance result is Sato et al. (2003), cited above. 47:40 A demonstration of symmetry breaking by asymmetric autocatalysis. 49:09 Above 99.5% ee means above 99.75% majority form, not exactly 100%. 49:57 0.00005% excess is 1 part in 2,000,000. 52:44 Thalidomide enantiomers interconvert in the body. 53:36 Merrell applied in the U.S.; Kelsey withheld approval. Trial exposure occurred. 1:02:09 Mirror-life catastrophe is a serious risk, not an observed outcome. 1:03:28 Antibodies are adaptive immunity, not innate immunity. 1:03:53 Impaired recognition does not mean proven total immune invisibility. 1:04:27 Some treatments might work; ecosystem protection is very difficult. 1:04:56 No reproducing mirror organism has been reported. 1:09:19 Chimeras and genetic modification are not interchangeable. 1:10:37 The Nobel-diagram critique is our interpretation, not an official correction. 1:11:51 Solid wedge: toward; hashed wedge: away; ordinary line: neither. WATCH & FOLLOW Full video: https://youtu.be/Wdapv1hFT4w Episode notes: https://ffppod.com/episodes/ep63 Follow @FFPPod on Instagram, TikTok, X and Facebook. Breaking down science news so it makes sense to curious people everywhere.

How do you prove what a brain cell actually does? The 2026 Nobel Prize in Medicine celebrates a remarkable answer: give cells a light-sensitive protein, then switch their activity on or off with light. In Episode 61 of From First Principles, Lester Nare and Krishna Choudhary explain optogenetics from the ground up and trace the discoveries of Peter Hegemann, Georg Nagel and Karl Deisseroth. We follow the story from algae swimming toward light to channelrhodopsins, precisely controlled neurons, and experiments probing memory, reward and behavior. Then we explore heart-brain connections, early attempts to restore vision, and what these experiments can and cannot tell us. CHAPTERS 00:00 The discovery that put brain cells under light control 02:34 Hello Internet 03:28 2026 Medicine Nobel and optogenetics 05:38 Understanding the brain 08:42 From correlation to causation 18:13 Controlling neurons with light 21:25 Early optogenetics and the chARGe system 24:17 Light-sensitive microbial proteins 26:26 Algae and phototaxis 31:42 Discovering channelrhodopsins 34:42 Nagel and light-gated ion channels 40:55 Controlling mammalian neurons 50:19 Expanding the optogenetic toolkit 56:10 Neural circuits and behavior 59:02 Memory, reward and reinforcement 1:02:53 Heart rhythm and emotion 1:04:02 Beyond the brain and toward medical treatments 1:06:56 Implications and limits 1:09:10 Closing and Nobel week RESEARCH & FURTHER READING Full paper list: https://ffppod.com/episodes/ep61 Nobel Prize announcement and background: https://www.nobelprize.org/prizes/medicine/2026/summary/ Optical control of neurons: https://doi.org/10.1038/nn1525 Memory recall in mice: https://doi.org/10.1038/nature11028 Partial visual recovery: https://doi.org/10.1038/s41591-021-01351-4 EDITORIAL NOTES On-screen clarifications are included at these timestamps: 13:46 The Jennifer Aniston neuron was recorded in human patients. Selective firing alone did not establish that it causes recognition. 30:34 Vertebrate rhodopsin is a GPCR. In rods and cones, light closes cGMP-gated channels and causes hyperpolarization. 35:12 Xenopus oocytes are immature frog egg cells, not embryos. 39:52 Calcium entry triggers neurotransmitter release; neurotransmitters carry the signal across the synapse. ChR2 conducts several positive ions, not just calcium. 52:17 Halorhodopsin is a light-driven chloride pump, not a channel. 1:03:18 The heart-pacing study expressed ChRmine in mouse heart muscle cells, not neurons. Animal studies and early clinical results are distinguished from established treatments. WATCH & LISTEN Watch this episode: https://youtu.be/PKAYqhy8xf8 Our Nobel predictions: https://open.spotify.com/episode/4xuoH7WhM5svq8vEJPL3Ce Support: https://ffppod.com/donate Contact: https://ffppod.com/contact Follow @FFPPod. Breaking down science news so it makes sense to curious people everywhere.

What connects a noise complaint, holiday lights seen from space, and the physics of a coffee stain? Three unexpected paths from basic research to discoveries with real-world impact. Krishna Choudhary and Lester Nare explore the science behind the 2026 Golden Goose Awards: Zhen Xu's work on histotripsy, NASA's Black Marble nighttime satellite data, and Sidney Nagel's discoveries in soft matter physics. We start with focused ultrasound and the tiny bubbles that can break apart targeted tissue, tracing the journey from early laboratory experiments to clinical research on liver tumors. Then we look at how Earth's nighttime lights reveal power outages, disaster recovery, and changing human activity. Finally, falling drops, coffee stains, and jammed grains open up a world of robotic grippers and materials that can be trained and retrained. The thread connecting all three stories is the unexpected value of federally funded basic research. Part 2 will feature conversations with the award-winning researchers and AAAS CEO Sudip Parikh. CHAPTERS 00:00 Golden Goose Awards trailer 01:19 Introducing our Golden Goose special 02:42 Zhen Xu: From a noise complaint to histotripsy 05:57 The early ultrasound experiments 13:42 Controlling cavitation with microtripsy 20:29 Tumor destruction and the immune response 28:33 Histotripsy through the skull 37:23 The HOPE4LIVER clinical trial 43:55 Why basic research needs time 47:17 FFP updates and supporting the show 49:20 NASA Black Marble: Holiday lights from space 55:29 Turning night lights into reliable data 1:01:36 Hurricane Maria and unequal recovery 1:08:12 COVID-19 and changing nighttime activity 1:10:16 Mapping access to electricity 1:15:20 Where Earth is brightening and dimming 1:32:57 Sidney Nagel and the physics of everyday life 1:37:07 The science of a falling drop 1:46:02 Why coffee leaves a ring 1:51:04 Jamming: When grains become rigid 1:53:35 A robotic gripper filled with grains 1:55:39 Why air pressure changes a splash 1:58:55 Materials that can be trained and retrained 2:03:26 The payoff from curiosity 2:05:29 Coming in Part 2 2:07:06 Outro FEATURED RESEARCH Histotripsy: The #HOPE4LIVER single-arm pivotal trial (Radiology, 2024) https://doi.org/10.1148/radiol.233051 NASA's Black Marble nighttime lights product suite (Remote Sensing of Environment, 2018) https://doi.org/10.1016/j.rse.2018.03.017 Training and retraining liquid crystal elastomer metamaterials for pluripotent functionality (PNAS, 2025) https://doi.org/10.1073/pnas.2504304122 WATCH ON YOUTUBE https://youtu.be/rDInUEtTojg EXPLORE FFP Website: https://ffppod.com Science Funding Tracker: https://ffppod.com/funding Science Transfer Portal: https://ffppod.com/transfers America 250: https://ffppod.com/America250 SUPPORT THE SHOW https://ffppod.com/donate FOLLOW @FFPPod on X / Instagram / TikTok / Facebook

What science should you be watching this fall? From Nobel Prize season to NASA’s Roman Space Telescope, Mars’ moons and Mercury, Lester Nare and Krishna Choudhary take a relaxed tour of the discoveries and missions on their radar. In Episode 57 of From First Principles, we explore why curiosity-driven research matters, what the Golden Goose Awards celebrate, and how questions that once sounded impractical can lead to unexpected breakthroughs. Then we turn to space: Roman’s search for dark energy and exoplanets, JAXA’s Martian Moons eXploration (MMX) mission, and the mysteries ESA and JAXA’s BepiColombo mission will investigate at Mercury. Along the way, we tour the updated FFP website, revisit some favorite episodes, and ask which stories you want us to cover in depth next. A note before we begin: the main conversation was recorded before Labor Day weekend. The opening announcement addresses your requests for a separate episode on OpenAI, Navier–Stokes and the wider AI conversation. This episode is our fall science rundown; that deep dive is still to come. CHAPTERS 00:00 Update on our upcoming Navier–Stokes and AI coverage 03:43 Episode intro and football banter 05:47 FFP intro 06:01 Nobel Prize season and our coverage plans 10:45 Golden Goose Awards: why basic research matters 21:02 FFP website tour and favorite episodes 42:24 Nancy Grace Roman Space Telescope 46:20 Microlensing, exoplanets and dark matter 51:25 MMX: where did Mars’ moons come from? 54:40 BepiColombo and the mysteries of Mercury 1:02:17 Your questions, future deep dives and sign-off 1:05:40 Outro SHOW NOTES NASA’s Nancy Grace Roman Space Telescope: https://science.nasa.gov/mission/roman-space-telescope/ JAXA’s Martian Moons eXploration (MMX): https://www.mmx.jaxa.jp/en/mission/ ESA / JAXA BepiColombo: https://www.esa.int/Science_Exploration/Space_Science/BepiColombo Explore the research and episodes we cover: https://ffppod.com Science R&D Funding Tracker: https://ffppod.com/funding Science Transfer Board: https://ffppod.com/transfers America 250: https://ffppod.com/America250 Support the show: https://ffppod.com/donate WATCH ON YOUTUBE https://youtu.be/snhQh0fjTX4 Follow @FFPPod on X / Instagram / TikTok / Facebook Breaking down science news so it makes sense to curious people everywhere. Which mission or research story deserves a full FFP deep dive? Tell us in the comments.

Which quantum computer will actually scale? In Part 2 of our quantum computing deep dive, Lester Nare and Krishna Choudhary move from theory to hardware—comparing superconducting qubits, trapped ions, neutral atoms, and silicon spin qubits before going inside the new Nature cover paper Krishna co-authored with the HRL Quantum Team and collaborators. The episode begins with a simple question: what makes a good quantum computer? We evaluate each architecture using three criteria: qubit quality, qubit control, and scalability and economics. Superconducting qubits offer extremely fast operations, but scaling them introduces challenges involving microwave control, frequency crowding, cryogenic wiring, physical size, and cooling. Trapped ions preserve quantum information for extraordinary lengths of time, but their slower gates and increasingly complex optical systems introduce a different set of tradeoffs. Neutral atoms can be arranged in dense, reconfigurable arrays using optical tweezers and entangled through Rydberg interactions, while raising questions involving atom loss, correlated noise, readout, and execution time. Then we get to silicon. Beginning with the Loss–DiVincenzo proposal, Krishna explains how individual electron spins can be confined inside semiconductor quantum dots, manipulated through exchange interactions, and measured using single-electron transistors. We then explore exchange-only qubits, where three electron spins encode a single qubit and quantum gates can be performed using electrical control. That leads to the Nature cover paper, A digitally controlled silicon quantum processing unit. The HRL system integrates 18 encoded qubits built from 54 quantum dots with cryogenic control electronics, a superconducting interconnect, automated calibration, and an engineered silicon-germanium heterostructure. Krishna also explains his own work using machine learning to automate quantum-device tuning—an essential problem if spin-qubit systems are ever going to grow from dozens of components to millions. The larger thesis is about manufacturing. The semiconductor industry has spent decades learning how to fabricate silicon devices at enormous scale. If quantum processors can inherit that infrastructure, the architecture that ultimately wins may not be the one that reaches the finish line first—but the one humanity already knows how to manufacture. Nature paper:A digitally controlled silicon quantum processing unitDOI: 10.1038/s41586-026-10754-7https://www.nature.com/articles/s41586-026-10754-7 Explore the FFP Science Transfer Portal:ffppod.com/transfers Support the show:ffppod.com/donate Follow:@FFPPod on X / Instagram / TikTok / Facebook

Claude did not solve the Riemann Hypothesis. But what it actually did may be one of the clearest examples yet of how rapidly AI systems are changing the way difficult mathematics can be attacked. In Episode 53, Lester Nare and Krishna Choudhary go from first principles on arguably the most famous unsolved problem in mathematics. We begin with Euler and the Basel problem, build the Riemann zeta function from the ground up, explain its deep connection to prime numbers, move into the complex plane and analytic continuation, unpack the famous 1 + 2 + 3 + 4 + … = -1/12 result, and finally arrive at the Riemann Hypothesis itself: the claim that every non-trivial zero of the zeta function lies on the critical line. Then we get into Claude. An unreleased Anthropic model was prompted to take a serious run at the problem. It orchestrated roughly 60 autonomous sub-agents, tested hundreds of mathematical approaches, executed code, searched academic literature, challenged its own strategies, created adversarial referees to attack its work, and ultimately produced a result pushing a related mathematical bound well beyond the previous state of the art. The human behind the prompt was not a mathematician. One of his instructions was essentially: believe in yourself. We explain what Claude actually accomplished, what it absolutely did not accomplish, why moving a bound toward two-thirds does not mean the Riemann Hypothesis is “two-thirds solved,” and what the process tells us about agentic AI, mathematical research, scientific discovery, and AI safety. Then it’s transfer season. For the first FFP Summer Transfer Window for Scientists, we look at prominent researchers leaving American institutions for universities and research centers abroad. Using the language of football transfers, we examine major moves in chemistry, battery research, gravitational-wave astrophysics, and neuroscience—and what they reveal about research funding, immigration, scientific infrastructure, and the global competition for talent. Explore the FFP science funding tracker:ffppod.com/funding Help shape Year Two and enter the anniversary merch giveaway:ffppod.com/survey Support the show:ffppod.com/donate Follow:@FFPPod on X / Instagram / TikTok / Facebook

What happens when electronics can operate at temperatures hot enough to melt aluminum? In this deep-dive episode, Lester Nare and Krishna Choudhary examine a new high-temperature memory device developed by researchers at USC, the Air Force Research Laboratory, Kumamoto University, and their collaborators. Published in Science, the experimental memristor combines tungsten, hafnium oxide, and graphene. It operated reliably at 700°C—roughly 1,300°F—retained data for more than 50 hours, and survived more than one billion switching cycles. We begin by explaining why conventional electronics and flash memory fail when temperatures rise. From deep-earth drilling and hypersonic aircraft to nuclear systems and the surface of Venus, many environments where intelligent electronics would be useful remain inaccessible to today’s hardware. Krishna then builds the memristor from first principles. We explore the history of the “missing” fourth circuit element, how oxygen vacancies create low- and high-resistance memory states, why conventional platinum electrodes fail under extreme heat, and how graphene prevents tungsten atoms from diffusing through the device. Finally, we examine the implications for artificial intelligence. Memristors can potentially store neural-network weights and perform matrix multiplication in the same physical location, reducing the energy wasted moving information between processors and memory. Could that combination of heat tolerance and energy efficiency make AI data centers in space more practical? Lester and Krishna work through thermal radiation, radiator size, power consumption, radiation resilience, and the considerable engineering challenges that remain. Support the showDonate: FFPod.com/donateFollow: @FFPod on X / Instagram / TikTok / Facebook Research and Show Notes High-temperature memristors enabled by interfacial engineering USC: A memory device that operates at 700°C The development of carbon-neutral data centres in space NASA Venus facts

In this special interview episode, Lester Nare speaks with Juan Busso, Senior Football Data Scientist at FIFA, and Arron Ackerman, FIFA’s Team Lead for Football Performance Analysis, about the data science behind the Match Momentum visualization featured throughout the 2026 World Cup. What does “momentum” actually mean in football—and how can it be measured without reducing the game to possession or shots? Juan and Arron explain how FIFA translates football principles into mathematical models, validates those models with coaches and technical experts, and turns complex tracking data into a graphic that fans can understand at a glance. We break down the underlying “threat” model, including kinetic pitch control, player speed and acceleration, ball trajectories, defensive spacing, distance to goal, sight lines, and the creation of space. Match Momentum is calculated from player-tracking data captured 50 times per second, allowing the model to recognize when a team is becoming dangerous even without dominating possession. The conversation also covers FIFA’s wider data ecosystem—including event data, skeletal tracking, and the connected match ball—why offside positioning can still create threat, whether hydration breaks alter momentum, and the next generation of football analytics focused on player energy and physical effort. Guests Juan Busso — Senior Football Data Scientist, FIFA Arron Ackerman — Team Lead, Football Performance Analysis, FIFA Support the show Donate: FFPod.com/donate Follow: @FFPod on X / Instagram / TikTok / Facebook

Hosted by Lester Nare and Krishna Choudhary, this episode is part two of our July 4th America 250 special: a celebration of the scientific, technological, institutional, and cultural breakthroughs that helped shape the United States into one of the most important scientific nations in human history. In part one, we traced American science from Benjamin Franklin and the founding documents through Sputnik, NASA, DARPA, Bell Labs, the transistor, information theory, nuclear physics, molecular biology, and the birth of the modern American science state. In part two, we pick up after Sputnik and follow the explosion of American science from 1958 to today. This episode covers the visual system, solar wind, perceptrons, impact cratering, pacemakers, neurotransmitter reuptake, cochlear implants, the genetic code, quarks, Bell’s theorem, density functional theory, the fast Fourier transform, immigration policy, electroweak unification, ARPANET, Apollo 11, dark matter, MRI, GPS, Unix, gravitational waves, ozone depletion, lithium batteries, Voyager, RNA splicing, recombinant insulin, quantum computing, the Space Shuttle, prions, PCR, cellular networks, telomeres, laser cooling, backpropagation, the Hubble Deep Field, Deep Blue, Sagittarius A*, cosmic acceleration, the Human Genome Project, CRISPR, mRNA vaccines, reusable rockets, LIGO, transformer models, black hole imaging, quantum supremacy, and the James Webb Space Telescope. The larger story is not just that America produced extraordinary discoveries. It is that those discoveries came from an ecosystem: universities, national labs, government agencies, industrial research labs, immigrant scientists, public investment, basic research, private enterprise, and a culture that repeatedly turned curiosity-driven science into civilization-changing technology. The episode closes by connecting that 250-year legacy to the current debate over federal science funding and the future of American scientific leadership. Explore the interactive timeline ffppod.com/America250 Support the show Donate: FFPod.com/donate Follow: @FFPod on X / Instagram / TikTok / Facebook

Hosted by Lester Nare and Krishna Choudhary, this episode is our World Cup special — a deep dive into the science, physics, engineering, and data behind the beautiful game. We start with the offside rule and the controversy around semi-automated VAR. How can a system decide whether a player is onside or offside by only a few inches? Krishna breaks the problem down like an experimental physicist: player speed, ball-contact time, camera frame rate, significant digits, and the error budget behind the line on screen. From there, we get into the actual technology: player tracking, digital twins, high-resolution cameras, and the connected match ball sensor that helps determine when the pass was played. Then we move from refereeing technology to the ball itself. Why does the 2026 World Cup ball look the way it does? How do Platonic solids, panel geometry, and surface seams affect the way a soccer ball flies? And why was the 2010 Jabulani ball so controversial? We go through drag, drag coefficients, wind tunnels, the drag crisis, golf ball dimples, and why the roughness of a ball can completely change its trajectory. Finally, we look at the hidden engineering of the World Cup pitch — real grass in NFL stadiums, LED grow lights, drainage systems, turfgrass science, and even 3D-printed cleat-foot testing devices — before ending with match momentum, possession value, hydration breaks, and the data science behind modern football analytics. Support the show Donate: FFPod.com/donate Follow: @FFPod on X / Instagram / TikTok / Facebook Show Notes Semi-automated offside technology and connected-ball systems Adidas Trionda — official 2026 World Cup match ball Aerodynamics of World Cup balls and the Jabulani drag-crisis controversy World Cup 2026 pitch engineering and turfgrass research Possession value and match momentum in football analytics

Hosted by Lester Nare and Krishna Choudhary, this episode is the second interview in our ongoing collaboration series with Carnegie Observatories. Krishna sits down with Dr. Michael Blanton, the new Director of the Carnegie Observatories, for a wide-ranging conversation on how astronomy became one of the most data-rich sciences, how the Sloan Digital Sky Survey helped change the culture around open data, what the next era of astronomical data science and AI could look like, and one of the galaxy mysteries Blanton still wants to solve: why the most massive galaxies in the universe stop forming stars.The conversation starts with Blanton’s Princeton roots and his work connected to the Sloan Digital Sky Survey, then moves into the culture of public astronomical data, the NYU Value-Added Galaxy Catalog, Vera Rubin Observatory, Carnegie’s role in the future of astronomy, the Magellan telescopes, astronomical archives, MaNGA and eBOSS, galaxy formation, dark matter, and even the science behind the black hole visualizations in Interstellar.Audio note: this was one of our first out-of-studio interviews, and there are a few minor audio issues in parts of the conversation. We appreciate your patience, and we’ll be better prepared for future field interviews.Also, if you’re in Los Angeles, Krishna will be giving a talk at Exploring Physics at UCLA, hosted by UCLA’s physics outreach organization Continuum, on Saturday, June 6 at the Fowler Museum. His talk runs from 9:30–10:30 AM.Register here: https://luma.com/3al1hj5h

Hosted by Lester Nare and Krishna Choudhary, this interview features John Mulchaey, the 12th President of Carnegie Science and former Director of the Carnegie Observatories. The conversation starts with his early work on galaxy groups and dark matter, then expands into how Carnegie works as a scientific institution, what the Giant Magellan Telescope could unlock for exoplanets and astronomy, how science funding actually works, and why eclipse chasing is still one of the most magical experiences in science. Summary Galaxy groups and dark matter — Mulchaey explains why small galaxy groups matter more than most people realize, and how X-ray observations of hot gas helped make their masses measurable. Carnegie’s model — the interview gets into what makes Carnegie unusual: scientific freedom, long time horizons, and room to pursue surprising questions. The Giant Magellan Telescope — a look at why bigger telescopes matter, what GMT changes, and why exoplanet atmospheres are one of the biggest goals ahead. The bigger picture — science funding, philanthropy, how astronomy has changed, and why total solar eclipses still inspire so many astronomers. Support the show Donate: FFPod.com/donate Follow: @FFPod on X / Instagram / TikTok / Facebook Show NotesJohn Mulchaey leadership bio — Carnegie Sciencehttps://carnegiescience.edu/about/leadershipCarnegie Science appoints John Mulchaey as its 12th Presidenthttps://carnegiescience.edu/news/carnegie-science-appoints-john-mulchaey-its-12th-presidentGiant Magellan Telescope — official overviewhttps://giantmagellan.org/about-us/1993 NASA write-up on Mulchaey’s dark matter result in galaxy groupshttps://science.nasa.gov/missions/hubble/dark-matter-found-in-a-typical-cluster-of-galaxies/Carnegie Science Great North American Eclipse outreach recaphttps://carnegiescience.edu/yearbook/2024/science/great-north-american-eclipsePerot Museum eclipse partnership recaphttps://www.perotmuseum.org/events/solar-eclipses/