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.

Can light restore aspects of sight? Can recalling a cold experience change an animal's metabolism? And what can ghost particles and mirror-image molecules tell us about the universe? Lester Nare and Krishna Choudhary follow up on our 2026 Nobel Prize episodes with research building on optogenetics, IceCube and molecular handedness. We unpack an early human vision-restoration trial, cold-memory experiments in mice, cosmic neutrino flavors, and a tiny electrical sensor for distinguishing left- and right-handed amino acids. Plus: how the Nobels work, our follow-up on the Nobel chemistry illustration, a brief look at neutrino Earth tomography, and why fundamental research matters. Which discovery would you like us to explore next? CHAPTERS 00:00 Cold open: memory, neutrinos and mirror molecules 00:28 Hello Internet and how the Nobels work 04:32 Optogenetics recap 10:23 Restoring aspects of vision 25:43 Controlling movement in worms 29:31 Cold memories and metabolism 41:07 Memory, trauma and ethical questions 45:44 FFP housekeeping 48:17 IceCube recap 56:23 Measuring cosmic neutrino flavors 1:10:30 A brief look at neutrino Earth tomography 1:12:20 Why fundamental physics matters 1:26:58 Chemistry and molecular handedness 1:29:08 Correcting the Nobel illustration 1:39:30 Measuring chirality in tiny samples 1:46:42 Testing the sensor on meteorite and desert samples 1:51:22 Why these questions matter 1:57:20 Closing thoughts and signoff RESEARCH & FURTHER READING Optogenetic therapy for visual function (NEJM, 2026): https://doi.org/10.1056/NEJMoa2602215 Cold memories and thermoregulation (Nature, 2025): https://doi.org/10.1038/s41586-025-08902-6 Three-flavor composition of cosmic neutrinos (PRL, 2026): https://doi.org/10.1103/vntd-m133 Chiral discrimination in meteorite and desert soil extracts (Nature Communications, 2026): https://doi.org/10.1038/s41467-026-77947-6 Further reading, briefly mentioned: neutrino Earth tomography (preprint): https://arxiv.org/abs/2607.02644 EDITORIAL NOTES The vision trial was small and exploratory. The cold-memory findings discussed are from mice. On-screen clarifications: 16:53 Both eyes were profoundly visually impaired; the worse-seeing eye was treated. 19:57 The untreated eye was patched during testing, not a normal-vision control. 54:41 Neutrino event rates depend on energy and selection, not just detector volume. 1:05:47 Flavor identification efficiency is distinct from interaction probability; both depend on energy. 1:13:35 Other astronomy-related Nobels include 2017 (LIGO) and 2019 (cosmology/exoplanets). 1:18:00 The LHC at CERN enabled the Higgs discovery; CERN itself was founded in 1954. 1:44:25 Both enantiomers produce current signals; waveform features distinguish them. 1:46:42 Murchison is a meteorite. Diego de Almagro and North of Antofagasta are soil sites. 1:47:40 The sensor study reports mixed agreement and limitations, not uniformly negative results. 1:49:00 Phobos is a Martian moon; a captured-asteroid origin is a hypothesis. WATCH & LISTEN Full video: https://youtu.be/C9K6onZxyN4 Episode notes: https://ffppod.com/episodes/ep64 Follow @FFPPod on Instagram, TikTok, X and Facebook. Breaking down science news so it makes sense to curious people everywhere.

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.

Why build a telescope inside a billion tons of Antarctic ice? The 2026 Nobel Prize in Physics recognizes Francis Halzen's work on IceCube and the discovery of high-energy neutrinos from the cosmos. In Episode 62 of From First Principles, Lester Nare and Krishna Choudhary explain neutrinos from the ground up: why these elusive particles make powerful cosmic messengers, how faint flashes of Cherenkov light reveal their interactions, and why detecting them requires an observatory buried deep beneath the South Pole. We follow the path from beta decay and the first neutrino experiments to AMANDA, IceCube's construction, the 2013 astrophysical breakthrough, a distant blazar, and a neutrino map of the Milky Way. Along the way: cosmic rays, the Oh-My-God particle, tracks versus cascades, and the international collaboration behind the discovery. CHAPTERS 00:00 Hunting ghost particles beneath Antarctica 01:16 Hello Internet and Nobel Prize 05:30 What are neutrinos? 10:00 Neutrinos as cosmic messengers 15:02 The Oh-My-God particle 16:21 Cosmic-ray energies 19:07 Cosmic particle accelerators 22:28 Why look for neutrinos? 25:52 How to detect a neutrino 29:23 Cherenkov light 33:13 Building a neutrino observatory 37:17 From Antarctic ice to AMANDA 42:21 Building IceCube 44:59 Reading tracks and cascades 49:30 Backgrounds and the 2013 discovery 52:46 Tracing cosmic neutrino sources 54:16 Mapping the Milky Way 58:23 IceCube collaboration and Gen2 1:01:05 Closing and Nobel week RESEARCH & FURTHER READING AMANDA in Antarctic ice (2001): https://doi.org/10.1038/35068509 IceCube detector and instrumentation (2017): https://doi.org/10.1088/1748-0221/12/03/P03012 First PeV neutrinos (2013): https://doi.org/10.1103/PhysRevLett.111.021103 Astrophysical neutrino evidence (2013): https://doi.org/10.1126/science.1242856 Blazar TXS 0506+056 (2018): https://doi.org/10.1126/science.aat1378 Archival blazar neutrino emission (2018): https://doi.org/10.1126/science.aat2890 Milky Way neutrino map (2023): https://doi.org/10.1126/science.adc9818 Gamma-ray burst constraints (2012): https://doi.org/10.1038/nature11068 IceCube overview: https://icecube.wisc.edu/science/icecube/ EDITORIAL NOTES Intro: the 2013 breakthrough was high-energy astrophysical neutrinos. Lower-energy supernova neutrinos were detected in 1987. On-screen clarifications: 06:45 Beta-minus decay produces a proton, electron and electron antineutrino. 11:10 Davis studied solar neutrinos; Koshiba's team detected SN 1987A neutrinos. 17:50 The cosmic-ray knee and ankle are not fixed distance boundaries. 19:38 Required accelerator size depends on magnetic-field strength. 24:18 Ground-based telescopes also detect gamma rays through air showers. 27:48 W interactions produce charged leptons; Z scattering preserves neutrino flavor. 34:06 The underwater concept dates to 1960; DUMAND developed in the 1970s. 36:09 Baikal holds about one-fifth of unfrozen surface freshwater. 38:53 Earth filters muons but also absorbs many very-high-energy neutrinos. 41:26 Pressure converts air bubbles into clathrates, reducing light scattering. 42:28 Construction finished in December 2010; full operations began in May 2011. 44:27 Sensors are DOMs; DeepCore is a densely instrumented detector region. 45:47 Timing gives direction; light yield and pattern help estimate energy. 49:44 Upgoing events can still be atmospheric neutrinos. 53:12 TXS 0506+056 is about 3.7 billion light-years away. 56:38 Long GRBs often involve collapsing stars; short GRBs often involve mergers. WATCH & FOLLOW Full video: https://youtu.be/eMahxeBj5k0 Episode notes: https://ffppod.com/episodes/ep62 Medicine Nobel explained: https://youtu.be/PKAYqhy8xf8 Follow @FFPPod on Instagram, TikTok, X and Facebook. From First Principles: 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.

Who could win the 2026 Nobel Prizes? From the science behind Ozempic to quantum interference and droplets inside living cells, Lester Nare and Krishna Choudhary make their picks for Medicine, Physics and Chemistry, and explain the discoveries behind them. In Episode 60 of From First Principles, we explore seven research areas with a case for Nobel recognition: GLP-1, optogenetics, optical coherence tomography, the Aharonov–Bohm effect, atomic force microscopy, biomolecular condensates and Buchwald–Hartwig coupling. We also discuss Michael Berry’s geometric phase and the awkward question of how a prize limited to three people recognizes discoveries built by larger teams. These are our predictions, recorded before the 2026 announcements. Medicine, Physics and Chemistry will be announced October 5–7. Which discovery, and which researchers, would you pick? Tell us in the comments, then join us for our Nobel week breakdowns. CHAPTERS 00:00 The science that could win a Nobel Prize 00:57 Hello Internet: our 2026 predictions 02:03 Medicine: GLP-1 and the science behind Ozempic 07:41 Medicine: optogenetics and controlling neurons with light 13:16 Medicine: optical coherence tomography 16:28 Golden Goose Awards and FFP updates 18:39 Physics: the Aharonov–Bohm effect and geometric phase 27:37 Physics: atomic force microscopy 32:04 Chemistry: biomolecular condensates 36:36 Chemistry: Buchwald–Hartwig coupling 38:42 Your predictions and our Nobel week plans RESEARCH & FURTHER READING Foundational papers and background for the discoveries discussed: GLP-1: Mojsov, Weir & Habener (1987) https://doi.org/10.1172/JCI112855 Optogenetics: Boyden et al. (2005) https://doi.org/10.1038/nn1525 Optical coherence tomography: Huang et al. (1991) https://doi.org/10.1126/science.1957169 Aharonov–Bohm effect (1959) https://doi.org/10.1103/PhysRev.115.485 Berry’s geometric phase (1984) https://doi.org/10.1098/rspa.1984.0023 Atomic force microscopy: Binnig, Quate & Gerber (1986) https://doi.org/10.1103/PhysRevLett.56.930 Biomolecular condensates: Brangwynne et al. (2009); Li et al. (2012) https://doi.org/10.1126/science.1172046 https://doi.org/10.1038/nature10879 Buchwald–Hartwig coupling: Paul et al. (1994); Guram et al. (1995) https://doi.org/10.1021/ja00092a058 https://doi.org/10.1002/anie.199513481 Official Nobel announcement schedule: https://www.nobelprize.org/prizes/about/prize-announcement-dates/ EDITORIAL NOTES 19:30 David Bohm later held a professorship at Birkbeck, University of London (1961–1987); he did not spend the rest of his career in Brazil. 33:23 The ribosome-producing compartment discussed is the nucleolus, not the nucleosome. These corrections also appear on screen. WATCH & EXPLORE YouTube: https://youtu.be/MgOpbh5VUGE Episode page and research library: https://ffppod.com/episodes/ep60 Support: https://ffppod.com/donate Follow @FFPPod on X / Instagram / TikTok / Facebook 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 does it mean to solve an equation that describes almost every fluid around us, from the air over a wing to the water swirling down a drain? In Episode 58 of From First Principles, Lester Nare and Krishna Choudhary build the Navier-Stokes equations from the ground up before digging into OpenAI’s claimed breakthrough and the debate surrounding it. Summary How Newton’s laws become equations for a moving fluid Velocity fields, incompressibility, pressure and the nonlinear convective term Why viscosity smooths a fluid while nonlinear motion can create finer structure What finite-time blowup means, and why simulation is different from proof How forced and unforced equations differ, and why those assumptions matter Earlier work on Euler, Boussinesq and related fluid equations OpenAI’s claimed result, Lean verification and the scope of the theorem The dispute over scientific credit and the human research behind AI-assisted work The METR investigation of the Hugging Face incident Emergence World and long-running multi-agent experiments AI-assisted biological discovery, oversight and recursive self-improvement Separating demonstrated capabilities from claims and future scenarios Chapters 00:00 Can AI solve Navier-Stokes? 00:34 Episode introduction 02:20 Navier-Stokes: Mathematics Meets AI 10:20 Building the Equations of Fluid Motion 21:34 Velocity fields, divergence and incompressibility 34:33 Acceleration and the convective term 52:18 Why Fluid Motion Is Nonlinear 1:02:08 Pressure, Euler and the Missing Physics 1:14:50 How Viscosity Changes Everything 1:33:36 Solving Equations vs. Simulating Fluids 1:44:59 Can a Smooth Fluid Blow Up? 2:13:52 The Road to the Claimed Breakthrough 2:31:13 Inside the Claimed Navier-Stokes Proof 2:48:26 The Dispute Over Scientific Credit 3:07:23 From Chatbots to Agents 3:08:57 The METR report and Hugging Face incident 3:23:23 AI Risk, Oversight and the Race Ahead 3:38:51 AI Discovery Beyond Mathematics 3:52:47 Why “just turn it off” gets complicated 4:06:47 Closing thoughts and what comes next 4:08:46 Outro Featured Research OpenAI’s Navier-Stokes announcement Tristan Buckmaster’s statement METR investigation Emergence World AI-assisted enzyme discovery Explore FFP ffppod.com ffppod.com/funding ffppod.com/transfers ffppod.com/America250 Watch on YouTube youtu.be/NGfGw1tGxUY Support the show 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.

What can a yak living thousands of meters above sea level teach us about repairing the human brain? In Episode 56 of From First Principles, Lester Nare and Krishna Choudhary break down a new Neuron paper that traces an evolutionary adaptation found in high-altitude animals to a previously hidden pathway involved in building and repairing myelin. Summary What myelin actually does and why losing it disrupts neural communication How multiple sclerosis damages myelin and why the brain’s natural repair process eventually fails Why oligodendrocyte precursor cells can remain present in damaged tissue without successfully rebuilding myelin Why current therapies are better at slowing further damage than restoring what has already been lost The challenge of getting drugs across the blood-brain barrier while maintaining target specificity How evolutionary pharmacology has previously produced medicines from adaptations found in snakes and Gila monsters The RETSAT Q247R variant identified in animals adapted to the hypoxic environment of the Tibetan Plateau How researchers engineered the high-altitude variant into mice and tested its effect on myelin The surprising discovery that neurons — rather than the myelin-producing cells themselves — generate the key repair signal How RETSAT increases ATDR, which neurons convert into ATDRA How ATDRA activates RXR-γ in oligodendrocyte precursor cells and promotes their differentiation How administration of ATDR promoted remyelination across multiple preclinical models Why the result is scientifically promising but still far from a proven human treatment Featured Paper A gain-of-function Retsat variant from high-altitude adaptation promotes myelination via a neuronal dihydroretinoic acid-RXR-γ pathway Neuron, 2026 DOI: 10.1016/j.neuron.2026.01.013 Explore FFPffppod.comffppod.com/fundingffppod.com/transfersffppod.com/America250 Support the showffppod.com/donate Follow@FFPPod on X / Instagram / TikTok / Facebook

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

Quantum computers do not simply “try every answer at once.” So what do they actually do—and why have governments and technology companies spent billions trying to build them? In Part 1 of our two-part quantum computing deep dive, Lester Nare and Krishna Choudhary build the field from first principles. The series was prompted by a new Nature cover paper, A digitally controlled silicon quantum processing unit, co-authored by Krishna and members of the HRL Quantum Team and collaborators. Before getting into that hardware in Part 2, we first need to understand why anyone wanted to build a quantum computer in the first place. We begin with Bell’s theorem and the failure of local hidden-variable explanations of quantum mechanics. From there, we follow the realization that information is fundamentally physical through Rolf Landauer, reversible computation, Charles Bennett, Tommaso Toffoli, Paul Benioff, and the origins of quantum information science. Then Richard Feynman changes the question. Straightforward classical simulation of an interacting quantum system requires tracking a state space that grows exponentially with the number of particles. If nature itself is quantum mechanical, Feynman asks, why not build a computer that is quantum mechanical too? David Deutsch formalizes the universal quantum computer and introduces the first quantum algorithm. Using the Deutsch–Jozsa problem, the double-slit experiment, and Feynman’s path-integral intuition, we explain what a quantum algorithm is actually exploiting: carefully engineered constructive and destructive interference. Finally, we reach the discoveries that turned quantum computing from an academic curiosity into a strategic technology. Daniel Simon develops an early exponential quantum speedup. Peter Shor recognizes how the underlying mathematics can be used to attack problems central to public-key cryptography. Lov Grover follows with a quantum search algorithm—and suddenly governments have a very different reason to care about quantum machines. We also explore quantum money, quantum cryptography, the many-worlds interpretation, Google Willow and parallel-universe headlines, post-quantum security, and what useful quantum computers may ultimately be good for. Part 2: How do you actually build one? Nature paper:A digitally controlled silicon quantum processing unitDOI: 10.1038/s41586-026-10754-7 Link: https://www.nature.com/articles/s41586-026-10754-7 Explore the FFP science funding tracker:ffppod.com/funding Support the show:ffppod.com.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

In this anniversary episode, Lester Nare and Krishna Choudhary look back at how two longtime friends turned their regular conversations about science into a show now shared by millions of people around the world, and what they hope to build with FFP Nation in Year Two. Then we turn to a new Nature paper challenging the idea that the precolonial Amazon was sparsely populated. Airborne LiDAR revealed hundreds of geometric earthworks hidden beneath the rainforest canopy. Combining the new survey with earlier archaeological evidence, the researchers estimate that the region could contain more than 20,000 earthworks and may have supported 1.25–3 million people around AD 100–300. Lester and Krishna explain how LiDAR sees through dense vegetation, why early European accounts of crowded Amazonian settlements were dismissed, how disease and forest regrowth could erase the visible traces of large societies, and what the findings mean for our understanding of the Amazon’s human and environmental history. The conversation then becomes a thought experiment: if our civilization disappeared, what would future archaeologists—or extraterrestrial visitors—recognize as our pyramids? Apollo landing sites, CERN, LIGO, and the James Webb Space Telescope become candidates for the enduring signatures of a curiosity-driven civilization. Finally, we christen the From First Principles library. Krishna shares the mathematics, physics, biology, history, and philosophy books that shaped how he thinks, including Baby Rudin, Landau–Lifshitz, Fermi, Jackson, Sakurai, Einstein, Schrödinger, Gibbs, Newton’s Principia, Plato, the Upanishads, and Adam Becker’s What Is Real? Help shape Year Two and enter the anniversary merch giveaway: ffpod.com/survey Support the show: ffppod.com/donate Research and show notes: Over 20,000 precolonial earthworks in the Southwest Amazonia Nature Research Briefing FFP episode archive and research library

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

Hosted by Lester Nare and Krishna Choudhary, this episode moves from astrobiology to science policy to the rapidly changing frontier of artificial intelligence and mathematics. First, researchers analyzing pristine samples returned from asteroid Ryugu report all five canonical nucleobases used by DNA and RNA. We explain what that does—and does not—mean for the origin of life, how JAXA’s Hayabusa2 mission collected uncontaminated asteroid material, and why comparisons with NASA’s Bennu samples strengthen the case that prebiotic chemistry may be widespread across the Solar System. Next, we examine the fight over who controls federal research funding. A proposed overhaul of the rules governing federal grants would give political appointees greater influence over awards, reduce the controlling role of expert peer review, and expand the government’s power to stop grants that no longer align with an administration’s priorities. We break down the roles of Congress, OMB, federal agencies, universities, and the courts—and why this dispute could reshape the American research ecosystem. Finally, we go deep on an AI-assisted counterexample to the Jacobian conjecture, a major open problem in mathematics. Krishna explains coordinate transformations, Jacobian determinants, invertibility, special relativity, and why this result appears fundamentally different from simple brute force. We close with the growing debate over AI-generated mathematics, human verification, open science, attribution, and the future role of mathematicians. Summary All five canonical nucleobases found in pristine asteroid Ryugu samples Hayabusa2, Bennu, and the possibility of widespread prebiotic chemistry The fight over political control of federal research grants Congress, OMB, peer review, and the American science-funding system The Jacobian conjecture and an AI-assisted counterexample Special relativity, coordinate transformations, and invertibility AI-generated mathematics, open science, attribution, and verification Support the showDonate: FFPod.com/donateFollow: @FFPod on X / Instagram / TikTok / Facebook Show Notes A complete set of canonical nucleobases in asteroid Ryugu OMB proposed federal-grant rule Association of American Universities response Levent Alpöge’s Jacobian counterexample announcement Leiden Declaration on Artificial Intelligence and Mathematics Human-verified remarks on the OpenAI-generated Erdős result

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 returns to the FFP science rundown with stories spanning astrophysics, precision medicine, medical imaging, artificial intelligence, and World Cup technology. We begin with the Event Horizon Telescope and its evolving view of M87*, the supermassive black hole 55 million light-years away. How do you image something that appears about as small as a donut on the Moon? Krishna explains angular resolution, the Rayleigh limit, radio interferometry, and how telescopes across Earth can function like one planet-sized instrument. We then look at new observations showing the magnetic field around M87* changing over time—and why that may help explain black-hole jets and the mysterious shutdown of star formation in giant elliptical galaxies. Next, we turn to medicine. Researchers at Johns Hopkins have built personalized digital twins of patients’ hearts, allowing doctors to simulate ventricular-tachycardia treatments before entering the operating room. We break down how MRI data, electrical modeling, and virtual ablation could reduce procedures from hours to roughly 30 minutes. We also examine Midjourney Medical’s proposed whole-body ultrasound scanner: what the prototype appears to do, what its creators are claiming, and why it should be viewed as a potential addition to the medical-imaging toolbox rather than a replacement for MRI. Finally, we return to the World Cup. Krishna takes on “Are You Smarter Than a Scientist?” by guessing the most common injuries in professional football. Then we investigate the Norway–England Skycam controversy: did the ball strike a cable, and why did its internal sensor appear not to detect it? We close with the data behind home-field advantage, referee bias, and the natural experiment created by crowdless matches during the COVID-19 pandemic. 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 part one of our July 4th America 250 special: a celebration of the scientific, technological, institutional, and cultural innovations that helped shape the United States into one of the most important scientific nations in human history. For America’s 250th anniversary, we built an interactive timeline of the discoveries, inventions, institutions, and funding systems that enabled American science to grow from Benjamin Franklin’s experiments with electricity into the age of NASA, DARPA, Bell Labs, nuclear physics, molecular biology, modern computing, and big science. In part one, we go from Franklin’s discovery of the conservation of charge in 1747 through the Sputnik crisis in 1958. Along the way, we cover the Declaration of Independence, the Constitution’s science and patent clause, the first federal scientific agency, the rise of medical journals, the American system of manufacturing, the telegraph, anesthesia, land-grant universities, the telephone, Edison’s industrial R&D lab, the Michelson-Morley experiment, alternating current, the Wright brothers, the discovery of galaxies, the Manhattan Project, the transistor, information theory, the polio vaccine, the integrated circuit, and the mobilization of American science after Sputnik. This is not just a list of inventions. It is a story about compounding infrastructure: universities, journals, patents, philanthropy, federal agencies, industrial laboratories, war mobilization, immigrant scientists, basic research funding, and the feedback loop between science, technology, government, and culture. 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 marks Krishna’s return to the studio after paternity leave — and the timing could not be more fitting. Today’s deep dive is about inheritance: not just the classic Mendelian rules most of us learned in biology class, but the stranger, more dynamic world of non-Mendelian epigenetic inheritance. Starting from Gregor Mendel and his pea plants, Lester and Krishna rebuild the foundations of genetics from first principles: dominant and recessive alleles, Punnett squares, chromosomes, fruit flies, DNA, and the physical mechanism behind inherited traits. Then they move into the “software layer” of biology: epigenetics, DNA methylation, chromatin packaging, RNA interference, and paramutation — cases where the genetic code is present, but the cell’s machinery silences or rewrites how that code is used. The episode centers on a new Nature Genetics paper, “Non-Mendelian inheritance of DNA methylation patterns in mice,” which suggests that non-Mendelian epigenetic inheritance may be more widespread in mammals than previously understood. The conversation also covers why Oxford Nanopore sequencing made this kind of analysis possible, why methylation patterns can be hard to trace across generations, and what all of this could mean for disease risk, drug response, sex differences, evolution, and the long-running nature-versus-nurture debate. Summary Mendel’s rules — how pea plants, true-breeding lines, dominant and recessive traits, and Punnett squares gave us the first mathematical laws of inheritance. The first cracks in Mendel — how chromosomes, fruit flies, sex-linked traits, and linked genes showed that inheritance is more complicated than independent assortment. DNA as hardware, epigenetics as software — why having a gene is not the same thing as expressing it, and how methylation and chromatin packaging can silence parts of the genome. Paramutation — how one allele can change the expression state of another allele across generations, creating inheritance patterns that do not follow standard Mendelian expectations. Oxford Nanopore and the technology shift — why long-read sequencing and direct methylation detection make it possible to trace epigenetic marks back to the parent they came from. The mouse methylation paper — how researchers used collaborative cross mice to show that most methylation inheritance looks Mendelian, but a meaningful fraction appears to follow stranger non-Mendelian rules. Why it matters — potential implications for clinical genetics, disease risk, drug efficacy, sex-specific biology, and the relationship between nature and nurture. Support the show Donate: FFPod.com/donate Follow: @FFPod on X / Instagram / TikTok / Facebook

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, this episode features astrophysicist Dan Gilman for a deep conversation on one of the biggest open questions in modern physics: what dark matter actually is. Starting from first principles, Lester and Dan walk through why the evidence for dark matter is now so strong, how strong gravitational lensing works, why tiny distortions in lensed light can reveal invisible clumps of matter, and how the next generation of surveys may transform the field. Krishna is out on family leave for this one, but the conversation stays fully in the From First Principles lane: grounded, visual, and science-first. Summary What dark matter is — Dan explains the basic case for dark matter, why it appears to interact only through gravity, and why multiple independent observations now point to the same conclusion. How strong gravitational lensing helps — the episode uses intuitive analogies like tides, fish tanks, and flashlights to explain how astronomers can infer the presence and structure of dark matter without seeing it directly. What Dan actually studies — the core of Dan’s work is building and testing simulations of lensed systems to see which dark matter theories best match reality. Why the next few years matter — Rubin, Roman, Euclid, and AI-assisted lens finding could dramatically increase the number of usable lens systems and sharpen the search for dark matter’s fundamental nature. Show Notes Dan Gilman on strong gravitational lensing and dark matter substructure Euclid mission overview Rubin Observatory overview Roman Space Telescope mission context

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/

Hosted by Lester Nare and Krishna Choudhary, this rundown episode covers four new science stories at a high level: a huge new 3D ant imaging database built with synchrotron X-ray microtomography, a lunar agriculture experiment that grew chickpeas in simulated moon soil using fungi and worm waste, AI-assisted discovery of strange objects in the Hubble archive, and a new programmatic roadmap for room-temperature superconductivity. There is also another round of Are You Smarter Than a Scientist? in the middle. Summary Particle accelerators meet biodiversity — researchers built a massive high-resolution ant imaging resource, covering nearly 800 species and thousands of specimens, with AI-assisted 3D reconstruction. Moon farming gets weird — chickpeas were grown in lunar regolith simulant with help from mycorrhizal fungi and worm-derived compost, a first step toward sustainable off-world agriculture. AI found hidden anomalies in Hubble’s archive — AnomalyMatch sifted through roughly 100 million source cutouts in just days and surfaced new candidate lenses, mergers, and other rare objects. The superconductivity long game — a new PNAS perspective argues that room-temperature superconductivity is not ruled out by physics, and calls for a coordinated push to get there. Support the show Donate: FFPod.com/donate Follow: @FFPod on X / Instagram / TikTok / Facebook Show Notes High-throughput phenomics of global ant biodiversity — Nature Methods Bioremediation of lunar regolith simulant through mycorrhizal fungi and plant symbioses enables chickpea to seed — Scientific Reports Identifying astrophysical anomalies in 99.6 million source cutouts from the Hubble legacy archive using AnomalyMatch — Astronomy & Astrophysics The path to room-temperature superconductivity: A programmatic approach — PNAS

Hosted by Lester Nare and Krishna Choudhary, this special episode ranks the 26 scientists shown in Christopher Nolan’s Oppenheimer by one standard only: their contribution to fundamental science. Starting with the Manhattan Project figures near the bottom and working up through the giants of quantum mechanics, relativity, nuclear physics, and logic, the episode turns a movie cast list into a surprisingly deep walk through the history of modern physics. Summary A ranking framework that actually means something — this list is based on scientific achievement, not movie prominence, clout, or vibes. A tour of 20th-century science — from nuclear chain reactions and black holes to MRI, GPS, quantum mechanics, and information theory. The great debates — several placements are designed to provoke real argument, especially around how Oppenheimer compares to the physicists around him. A top tier full of monsters — the back half of the episode becomes a speedrun through some of the most influential scientific minds of the modern era. Support the show Donate: FFPod.com/donate Follow: @FFPod on X / Instagram / TikTok / Facebook

Hosted by Lester Nare and Krishna Choudhary, this episode is a deep dive into one of the strangest and most hard-fought materials science stories in decades: the claim that researchers have finally synthesized bulk hexagonal diamond, also known as lonsdaleite. They break down why this material matters, how it differs from ordinary cubic diamond, why scientists argued about its existence for more than 50 years, and what the new Nature paper actually did to convince skeptical reviewers. Summary Why hexagonal diamond matters — if real, it is a long-sought carbon phase that could be slightly harder than conventional diamond and useful in extreme industrial settings. The first-principles chemistry — carbon allotropes, x-ray crystallography, cubic diamond, and the ABAB stacking that makes hexagonal diamond different. The experimental breakthrough — how the new team engineered around the default pathway to ordinary diamond by controlling graphite orientation and pressure direction. The controversy — why the peer review was intense, and how the new paper relates to an earlier 2025 Nature paper with a similar claim. Support the show Donate: FFPod.com/donate Follow: @FFPod on X / Instagram / TikTok / Facebook

Hosted by Lester Nare and Krishna Choudhary, this episode is a full deep dive on Artemis II as the crew returns from humanity’s first crewed lunar flyby in more than 50 years. Lester and Krishna break down the mission photo by photo, from launch and translunar injection to Earthset, Earthrise, the in-space solar eclipse, the science of lunar observations, and the skip-entry reentry profile bringing Orion home. Summary Why Artemis II is historic, what the crew saw on the far side of the Moon, and why this mission matters for the long-term return to the lunar surface.Why NASA relied on the Nikon D5 for deep-space photography, and what camera physics, low-light performance, and radiation tolerance have to do with getting these images home.The standout observations from the flyby: Earthset, Earthrise, a rare in-space solar eclipse, planetary alignment during eclipse, and the first crewed visual observations of meteoroid impact flashes on the Moon.How Orion’s reentry works, why Artemis II uses skip entry, what happened to Artemis I’s heat shield, and what NASA changed for the crewed return. Support the show Donate: FFPod.com/donate Follow: @FFPod on X / Instagram / TikTok / Facebook

Hosted by Lester Nare and Krishna Choudhary, this rundown episode covers five new science and tech stories at a high level: NASA’s Artemis 2 moon mission, what actually leaked in the Claude Code incident, a new cancer genomics paper suggesting domesticated cats may be unusually useful real-world models for human cancer, two leaked iPhone spyware toolkits, and a science-focused review of Project Hail Mary. Summary Artemis 2 is finally flying — why this mission matters, why it is not landing yet, and why the moon race is back in geopolitical focus. Claude Code leaked, but not Claude itself — what was exposed, why people got confused, and why the distinction between source code and model weights matters. Cats and cancer — why domesticated cats may offer a more realistic environmental cancer model than traditional lab rodents. iPhone spyware in the wild — what Dark Sword and Coruna are, what they can do, and why this signals a broader shift in cyber risk. Project Hail Mary science review — what the film gets right, what it gets wrong, and which scientific liberties are hardest to buy. Support the show Donate: FFPod.com/donate Follow: @FFPod on X / Instagram / TikTok / Facebook

Hosted by Lester Nare and Krishna Choudhary, this episode is a deep dive into one of the hardest questions in neuroscience: what breaks in the brain during a coma, and can we figure out how to turn consciousness back on? We unpack a new paper from Daniel Toker et al. that uses an interpretable AI framework — not a generic black box chatbot model — to reverse engineer the biological mechanisms of prolonged unconsciousness, recover known features of coma, predict new ones, and propose a possible new target for deep brain stimulation. Summary Why diagnosis is so hard — disorders of consciousness are not just about whether a patient is awake, but whether awareness is still present even when motor output is gone. The mesocircuit hypothesis — the episode explains how the cortex, thalamus, and basal ganglia may work together like an electrical grid to support consciousness. Interpretable AI, not black-box hype — Daniel Toker’s team built a biophysically grounded model that rediscovered known coma features and predicted two new biological mechanisms. A possible stimulation target — the subthalamic nucleus emerged as a standout candidate for deep brain stimulation, suggesting a new path toward restoring wakefulness. Support the show Donate: FFPod.com/donate Follow: @FFPod on X / Instagram / TikTok / Facebook Show Notes Daniel Toker et al. — Adversarial AI reveals mechanisms and treatments for disorders of consciousness Nicholas Schiff et al. — deep brain stimulation in a minimally conscious patient Adrian Owen et al. — fMRI evidence of covert awareness in a patient diagnosed as vegetative

Hosted by Lester Nare and Krishna Choudhary, this episode is a fast-moving science rundown covering four remarkable stories from across AI, genetics, neuroscience, and paleontology. We dig into the story of a machine learning engineer who used AI tools to help design a personalized cancer vaccine for his dog, explore how an all-female fish species has survived far longer than evolutionary theory would predict, unpack new brain-scan evidence for how ketamine may rapidly relieve severe depression, and look at new research suggesting life rebounded shockingly fast after the asteroid that killed the dinosaurs. Summary AI and personalized medicine — a striking case study in how AI tools may help accelerate highly customized treatments, starting with a rescue dog named Rosie. Evolution gets weird — the Amazon molly fish appears to challenge the usual assumptions about why asexual reproduction should fail over long time scales. Why ketamine works so fast — new PET imaging research points to brain-region-specific changes in AMPA receptors in treatment-resistant depression. Life after catastrophe — microscopic plankton may have evolved into new species within just a few thousand years after the Chicxulub impact. Support the showDonate: FFPod.com/donateFollow: @FFPod on X / Instagram / TikTok / Facebook Show Notes AI-designed dog cancer vaccine story https://finance.yahoo.com/news/mans-dog-riddled-tumors-dying-210500037.html?guccounter=1 Amazon molly / gene conversion paper https://www.nature.com/articles/s41586-026-10180-9 Ketamine / AMPA receptor PET imaging paper https://www.nature.com/articles/s41380-026-03510-w Post-asteroid plankton recovery paper https://www.yokohama-cu.ac.jp/english/news/20260306takahashi.html

Hosted by Lester Nare and Krishna Choudhary, this episode is a deep dive into one of the strangest science stories of the year: a dish of human neurons allegedly learning to play Doom. We go back to the original 2022 DishBrain paper out of Cortical Labs, unpack how biological neurons can be read and written with multi-electrode arrays, and then compare the peer-reviewed Pong result to the much newer Doom claim. The result is a story that is both genuinely impressive and, in places, probably overhyped. Summary Wetware engineering — replacing artificial neurons with real biological neurons plus electronics, and why some people think this could become a new computing paradigm. How DishBrain worked — human stem-cell-derived cortical neurons grown on a multi-electrode array, trained through sensory encoding and a “minimize surprise” feedback loop. Where the Doom story gets messy — the newer system appears to include a reinforcement-learning layer in the loop, raising the key question: are the neurons actually doing the learning? The big idea underneath the hype — even if Doom is overstated, the broader platform is still a remarkable step toward programmable biocomputing. Support the showDonate: FFPod.com/donateFollow: @FFPod on X / Instagram / TikTok / Facebook

Hosted by Lester Nare and Krishna Choudhary, this is our first standalone rundown episode — a faster, looser format where we hit several stories we didn’t have room to turn into full deep dives. This week: bacteria revived from a Romanian ice cave after 5,000 years, a speculative but fascinating theory linking solar storms to earthquakes, new evidence that dogs and humans share genetic roots for personality traits, and the increasingly dramatic fight over the future of AI after Yann LeCun leaves Meta to build a new billion-dollar company focused on world models. Summary Ancient bacteria, modern resistance — a microbe revived from a 5,000-year-old Romanian ice cave resists modern antibiotics and may even contain compounds useful against present-day superbugs. Solar storms and earthquakes? — a Kyoto University theoretical paper suggests space weather could perturb electric fields in Earth’s crust enough to influence faults already near critical stress. Dogs and humans, genetically — a Cambridge / Morris Animal Foundation study finds shared gene pathways that map to personality-like traits in both golden retrievers and humans. The Meta AI split — Yann LeCun leaves Meta to pursue AI systems that model the physical world, arguing that simple scaling of LLMs may never reach real general intelligence. Support the showDonate: FFPod.com/donateFollow: @FFPod (X / Instagram / TikTok / Facebook) Show Notes Story 1 — Ancient bacteria in Romanian ice cave (Frontiers in Microbiology) Story 2 — Solar storms and earthquakes (Kyoto University / International Journal of Plasma Environmental Science and Technology) Story 4 — Dog and human personality genes (PNAS) Story 5 — Yann LeCun leaves Meta / world-model AI (Wired)

Hosted by Lester Nare and Krishna Choudhary, this episode is a deep dive into a new synthetic-biology breakthrough out of EPFL: OptoEvolution. The big idea is simple but powerful — traditional directed evolution is great at making proteins that are always “on,” but biology is full of proteins that need to switch states, respond to stimuli, and behave more like logic gates than static tools. This paper takes directed evolution and couples it to light and the cell cycle, creating a new way to evolve dynamic proteins that can toggle, compute, and respond with far more control. Summary Why directed evolution needed an upgrade — classic methods select for proteins with continuous function, not proteins that toggle between active and inactive states. OptoEvolution — using light as a control signal and the cell cycle as a built-in oscillator to evolve proteins that must turn on and off to survive. Color-multiplexed biology — engineering proteins to respond to different wavelengths of light, opening the door to finer control of gene expression. Single-protein logic gates — proof-of-concept AND-gate behavior inside a single protein, hinting at a future where biology can be programmed with much more software-like precision. Support the show Donate: FFPod.com/donate Follow: @FFPod on X / Instagram / TikTok / Facebook Show Notes OptoEvolution / dynamic protein control (Cell)

Hosted by Lester Nare and Krishna Choudhary, this episode is a full deep dive on planetary defense. We break down NASA’s DART mission, why the goal was never to “blow up” an asteroid but to gently nudge it, and why the newest result is even bigger than the original headline: scientists can now directly detect that the Didymos–Dimorphos system changed not just locally, but in its heliocentric path around the Sun. Summary DART actually worked — not just by shortening Dimorphos’s local orbit around Didymos by 33 minutes, but by measurably changing the motion of the whole binary system around the Sun. Planetary defense is a measurement problem — the new result hinges on detecting a velocity shift of just 11 microns per second in an asteroid system moving tens of kilometers per second. Why ejecta matters — the impact transferred more momentum than the spacecraft carried in, thanks to debris blasting off the asteroid and boosting the total deflection. Why this matters for Earth — for the first time in our planet’s history, life on Earth may actually have the tools to alter its own cosmic fate. Support the show Donate: FFPod.com/donate Follow: @FFPod on X / Instagram / TikTok / Facebook Chapters 00:00 New single-story format 01:53 DART mission setup 18:26 Why the binary asteroid system matters 31:36 Measuring the heliocentric deflection 46:28 Planetary defense implications 53:37 Outro Show Notes DART heliocentric deflection result — Science Advances NASA DART mission overview ESA HERA mission

Hosted by Lester Nare and Krishna Choudhary, this episode starts in astrobiology with a fresh experimental challenge to one of the biggest objections to lithopanspermia: can life actually survive the violence of being blasted off a planet by an asteroid impact? Then, after a packed Rundown, we pivot hard into immunology with a radical Stanford paper asking whether we could build one nasal vaccine that doesn’t target a specific pathogen at all—but instead makes the lung itself a stronger fortress against whatever shows up. Summary Lithopanspermia gets less crazy — a Johns Hopkins / PNAS Nexus study tests whether extremely resilient microbes can survive the initial shock of ejection from a planet, potentially closing the last major bottleneck in rock-to-rock transfer of life. The universal-vaccine idea — instead of training the adaptive immune system on one pathogen, Stanford asks whether the lung itself can be preconditioned to respond broadly and rapidly to many threats. The Rundown — AI for materials science, orbital nuclear conflict simulations, and other frontier stories the guys wanted to hit even without full deep dives. Support the showDonate: FFPod.com/donateFollow: @FFPod (X / Instagram / TikTok / Facebook) Show Notes Lithopanspermia / impact survival (PNAS Nexus, Johns Hopkins) https://academic.oup.com/pnasnexus/article/5/3/pgag018/8503064 Pathogen-agnostic nasal vaccine (Science, Stanford) https://www.science.org/doi/10.1126/science.aea1260

Hosted by Lester Nare and Krishna Choudhary, this episode has two main stories: an astrophysics update on a candidate “dark galaxy” in the Perseus Cluster (a halo that’s ~99.9% dark matter), and a major Alzheimer’s mechanism paper tracing how exercise protects the brain by repairing the blood–brain barrier—with an actionable drug-like path already emerging. Summary Candidate dark galaxy — Hubble + Euclid stacking and globular clusters reveal an ultra-faint halo that could test missing satellites and the cusp–core problem (and even “fuzzy dark matter”). Exercise → Alzheimer’s mechanism — UCSF links a liver enzyme (GPLD1) to BBB repair via TNAP regulation, plus an oral TNAP inhibitor (SBI-425) that mimics the effect in mice. Rundown — Rubin Observatory’s real-time alert engine, AI-accelerated magnet discovery, a climate-corrected Easter Island history, and the Boba-Kiki effect in baby chicks. Support the showDonate: FFPod.com/donateFollow: @FFPod (X / Instagram / TikTok / Facebook)

Hosted by Lester Nare and Krishna Choudhary, this episode has three main stories: interactive dream engineering (yes, two-way “communication” during lucid dreaming), the proton radius puzzle finally getting resolved by a precision lab measurement, and a sobering but hopeful look at ALS—including a breakthrough “ALS-in-a-dish” model that could finally make drug screening translate to humans. Summary Dream engineering — targeted cues + induced lucidity → dream-content biasing and measurable next-day performance gains. Proton radius puzzle — precision hydrogen spectroscopy resolves the decade-long discrepancy; normal hydrogen agrees with muonic hydrogen. ALS — a predictive iPSC motor-neuron model that correlates with patient survival and reveals a promising multi-drug synergy. Rundown — pulsar near the Milky Way center, AI decoding a Roman board game, hormones + evolution signals, and AI-in-the-loop protein engineering. Support the show Donate: FFPod.com/donate Follow: @FFPod (X / Instagram / TikTok / Facebook)

Hosted by Lester Nare and Krishna Choudhary, this episode is a Winter Olympics deep dive from first principles—physics, neuroscience, and climate science in one ride. • Why ice is slippery: the “water layer” story is incomplete—new nanoscale measurements suggest a far more viscous, thicker interfacial film than textbook intuition. • Choking under pressure: how high stakes can disrupt neural control—reward signals can push brain states out of the “optimal zone.” • Climate change vs winter sports: why artificial snow has limits, why some legacy venues may become unreliable, and what “snow farming” is trying to solve. • Rundown: AI doing physics proofs, cat vocalizations, immune epigenetics, origin-of-life genetics, and an “impossible” exoplanet system. Support the show: FFPpod.com/donate Follow: @FFPod (X / Instagram / TikTok / Facebook) 00:00 Intro 00:32 Episode setup 02:15 Why is ice slippery? 33:23 Rundown + housekeeping + donate 01:09:11 Choking under pressure (neuroscience) 01:32:32 Climate change & the Winter Olympics + potpourri 01:43:47 Wrap-up + closing

Hosted by Lester Nare and Krishna Choudhary, this episode jumps from plant biochemistry to quantum metrology to cancer evolution. We start with a University of York breakthrough that solves a ~50-year mystery in alkaloid biosynthesis—identifying the “missing” enzyme behind a key asymmetric step plants use to build powerful defensive (and pharmaceutically useful) molecules. Then we go deep on quantum sensing with entangled atomic clouds, showing how correlated measurements can beat the standard quantum limit. Finally, we close with ALFA-K, a new tool that maps local fitness landscapes to predict how aneuploid cancers may evolve under pressure from therapy. Summary Plants making medicines — the “phantom enzyme” in alkaloid biosynthesis and why solving this pathway matters for scalable drug production. Quantum measurements with entangled atom clouds — squeezed/entangled states, noise reduction, and why correlations unlock better sensing. Predicting cancer evolution — ALFA-K and measurable fitness landscapes for aneuploidy-driven trajectories under treatment. Show Notes Story 1 — Plant alkaloid biosynthesis (University of York) Paper — New Phytologist Story 2 — Quantum measurements with entangled atomic clouds (University of Basel) Paper — Science Story 3 — Alpha-K (Moffitt Cancer Center) Paper — Nature Communications

Hosted by Lester Nare and Krishna Choudhary, this episode is a full-spectrum moonshot: why Artemis II matters, how the mission actually works (SLS, Orion, translunar injection, free-return trajectories), and a first-principles teardown of the most common Apollo “hoax” claims—Van Allen belts, waving flags, shadows, and “why aren’t there stars?” We also run a quick Rundown of wild science headlines (ancient cave art, elevation-dependent warming, dogs and vocabulary, and peptide bonds in deep space), before coming back to the core question: what it takes to send humans safely around the Moon—again. Summary Artemis II mission profile — what “free return” means, why TLI timing matters, and what Orion is doing in high Earth orbit before the Moon. SLS vs Saturn V — the engineering and risk trade-offs behind modern human-rated heavy lift. Apollo myths, explained — radiation belts, camera exposure physics, and why the “flag,” “shadows,” and “no stars” arguments don’t survive basic mechanics and optics. Proof Apollo happened — retroreflectors, orbital imagery, and the reality that the world was watching. Show Notes NASA Artemis Program NASA Orion Spacecraft NASA Space Launch System (SLS) NASA Apollo 11 Mission Overview

Hosted by Lester Nare and Krishna Choudhary, this episode runs from JWST’s “Little Red Dots” (and what they imply about early supermassive black holes), to a TimeVault method for recording gene expression over time, to 8,000-year-old Halaf pottery that may encode geometric sequences — plus a quick Cloud9 follow-up on the “starless dark-matter halo” debate. Summary JWST’s Little Red Dots — why these compact red sources don’t behave like normal galaxies or quasars, and how an ionized-gas “cocoon” model could reconcile the data. TimeVaults — a genetically encoded “vault” that protects RNA long enough to capture time-series biology, not just snapshots. Math before numbers — Halafian motifs that appear to follow geometric sequences (4–8–16–32–64) and what that suggests about early cognition. Cloud9 update — what new data would actually settle RELHIC vs. “dark galaxy.” Show Notes JWST “Little Red Dots” (Nature) TimeVaults (Science) Halaf pottery + prehistoric mathematical thinking (Journal of World Prehistory) Cloud9 / RELHIC follow-up (arXiv)

Hosted by Lester Nare and Krishna Choudhary, this episode runs from the deep math of string theory to the biology of sleep—then out to a starless “ghost cloud” that may be a naked dark-matter halo. We open with a Nature paper showing that physical networks in nature (brains, blood vessels, fungal networks) appear to organize like energy-minimizing surfaces—spitting out the same branching rules you see in soap films and (surprisingly) in the mathematics behind string theory. Then we hit a neuroscience twist: even simple jellyfish need sleep—and the evidence points to sleep as a repair cycle for DNA damage. We close with Cloud9, a newly characterized, starless gas cloud that could be a rare “reionization-limited” RELHIC—potentially exposing a dark matter halo without the glare of stars. Summary String theory… in your body? Why real-world transport networks converge toward minimal-energy geometry—and what that has to do with string-theory math and 120° branching angles. Jellyfish need sleep (and it’s not optional): Evidence that sleep pressure tracks cellular stress and DNA damage repair—even in a brainless animal. Cloud9: A nearby starless cloud that may be a dark matter halo in plain sight—plus what it implies about “missing” galaxies and the post-reionization universe. The Rundown: iron asteroids, artificial metabolism (ReForm), scalable helper T-cells from stem cells, and NASA’s Pandora exoplanet mission. Show Notes Physical networks / string-theory-like math (Nature) Jellyfish sleep & DNA repair (Nature Communications) Cloud9 (Astrophysical Journal Letters)

Hosted by Lester Nare and Krishna Choudhary, this episode jumps from ancient engineering to modern AI and markets. We start with the newly uncovered Pompeii worksite that finally shows how Romans mixed their concrete — and why it “self-heals.” Then we pivot into a Princeton neuroscience idea that the brain builds complex thought like LEGO bricks (compositional neural subspaces). From there, we break down DeepSeek’s “manifold-constrained hyperconnections” as a stability mechanism for scaling deep nets. And we close with econophysics: a Physical Review Letters result arguing the square-root law of market impact is strictly universal across stocks and time. Summary Roman concrete’s missing step — Pompeii evidence for “hot mixing,” lime clasts, and why cracks can heal themselves for millennia. Cognitive LEGOs — a compositionality framework where brains reuse shared neural subspaces to assemble new tasks. DeepSeek’s scaling trick — constraining hyperconnections to a stable manifold to avoid vanishing/exploding signals. The universal market law — PRL evidence that price impact follows a square-root rule across stocks, traders, and decades. Show Notes ⁠Roman Concrete (Pompeii worksite) — Nature Communications (2025)⁠ ⁠Hot Mixing & Lime Clasts — Science Advances (2023)⁠ ⁠Compositional Neural Subspaces (“Cognitive LEGOs”) — Nature (2025)⁠ ⁠mHC: Manifold-Constrained Hyper-Connections — arXiv⁠ ⁠Square-Root Law of Market Impact (Universality) — Physical Review Letters⁠ ⁠Artemis II Countdown Demonstration Test — NASA

Hosted by Lester Nare and Krishna Choudhary, this Season Finale closes out Season 1 with a deep dive into the physics behind fusion’s biggest bottleneck: fast magnetic reconnection. We unpack why classic models predicted reconnection should be slow, why nature (and tokamaks) disagree, and how modern “plasmoid” reconnection helps explain solar flares, plasma instabilities, and the real engineering challenges fusion reactors face. Then we run a full Season 1 recap — our favorite episodes, biggest scientific moments, and the corrections and lessons we’re taking into Season 2. Summary Fusion’s biggest problem — magnetic reconnection, why the Sweet–Parker model breaks down at scale, and how plasmoid instability enables fast reconnection. From the Sun to tokamaks — how reconnection drives solar flares, space weather, and plasma confinement limits in fusion devices. Season 1 leaderboard — our top episodes and the breakthroughs that stuck: astronomy, biology, AI, quantum, and the history of science. Corrections + what’s next — what we fixed, what we learned, and how Season 2 evolves the format.

Hosted by Lester Nare and Krishna Choudhary, this single-story deep dive tells the full story of how humanity uncovered the structure of DNA — and the human tensions that shaped it. From Mendel’s pea-plant mathematics to Rosalind Franklin’s groundbreaking x-ray crystallography, from Cavendish–King’s College rivalries to the famous Photo 51, this episode follows the scientific and ethical arc behind one of the most important discoveries in modern biology. Summary Before DNA — Mendel’s inheritance laws, Miescher’s nuclein, Levene’s early models, and why scientists initially believed proteins carried heredity. The turning point — Griffith’s transformation experiment and the Avery–MacLeod–McCarty proof that DNA is the genetic material. The physics connection — Schrödinger’s What Is Life? and the idea of an “aperiodic crystal” inspiring Watson, Crick, and a generation of physicists to enter biology. Two labs, one race — Cavendish vs. King’s College, Wilkins vs. Franklin, and the clash of personalities, methods, and interpretations. Photo 51 — Franklin and Gosling’s pivotal diffraction image revealing the helical structure of DNA. The model — base pairing, antiparallel strands, and why the double helix immediately explained replication. Recognition & legacy — the 1953 Nature papers, the 1962 Nobel Prize, Franklin’s omission, and Watson’s later controversies reshaping his legacy. Show Notes Mendel (1866) — Pea Plant Genetics Griffith (1928) — Transformation Avery–MacLeod–McCarty (1944) Schrödinger — What Is Life? Franklin’s Photo 51 Watson & Crick (1953)

Hosted by Lester Nare and Krishna Choudhary, this episode spans astrophysics, forensic chemistry, and neuroimmunology. We begin with a deep dive into 3I/ATLAS, only the third confirmed interstellar object to ever pass through our solar system — larger and stranger than ‘Oumuamua and Borisov, with new imagery released as NASA reopened operations. Then we break down a true-crime forensic breakthrough from Maynooth University that reveals how to recover fingerprints from fired bullet casings — a technique that could radically accelerate criminal investigations. And we close with a Max Planck Institute discovery identifying a regulatory microglial state in the brain that may finally clarify why Alzheimer’s develops — and how immune dysfunction, not just plaques, drives the disease. Summary The third interstellar visitor — 3I/ATLAS joins ‘Oumuamua and Borisov as only the third object ever observed entering the solar system from interstellar space, with new NASA imagery revealing structure, trajectory, and compositional clues. A forensic chemistry breakthrough — researchers at Maynooth University develop a technique to retrieve latent fingerprints from fired shell casings, combining heat-stable organic residues with spectroscopic imaging. A new model of Alzheimer’s — Max Planck Institute scientists uncover a microglial “regulatory” state (a T-reg–like analogue) activated through CD28-dependent pathways, reshaping how the field thinks about plaques, neuroinflammation, and therapeutic targets. Show Notes 3I/ATLAS — Interstellar Object Updates (NASA / JPL) Forensic Chemistry: Fingerprints on Fired Casings (Maynooth University) Alzheimer’s Microglia Study — Max Planck Institute / Univ. of Cologne

Hosted by Lester Nare and Krishna Choudhary, this episode dives into three breakthroughs stretching across aerospace engineering, astrobiology, and quantum computing. We start with a Nature Communications paper from Stevens Institute that experimentally validates a 60-year-old hypothesis underpinning hypersonic flight modeling. Then we head 3,000 meters below the Pacific to explore a newly discovered cold, ultra-alkaline biosphere near the Mariana forearc — a finding that reshapes the search for extraterrestrial life. And we close with Princeton’s millisecond-coherent transmon qubit, a materials science triumph pushing the quantum hardware frontier toward real-world quantum advantage. Summary Hypersonics without supercomputers — Stevens Institute validates the Morkovin hypothesis up to Mach ~6 using krypton-tagging velocimetry, confirming that “simple” turbulence models still work in hypersonic regimes and opening the door to viable, inexpensive hypersonic aircraft design. Life where it shouldn’t exist — University of Bremen researchers uncover evidence of a chemosynthetic biosphere in the cold, pH-12.6 serpentinizing fluids of the Mariana forearc, offering the clearest Earth analog yet for Enceladus- and Europa-like conditions. A millisecond qubit breakthrough — Princeton’s tantalum-on-high-resistance-silicon transmon hits 1.7 ms coherence, 15× the industry norm — drop-in compatible with Google/IBM architectures and a major step toward practical quantum computing. Show Notes Hypersonics — Nature Communications (Stevens Institute) Deep Sea Life — Nature Communications Earth & Environment (Univ. of Bremen) Princeton Millisecond Qubit — Nature (Transmon Hardware)

Hosted by Lester Nare and Krishna Choudhary, this super-episode spans four wildly different frontiers: bioengineers hijacking bacterial evolution to mass-produce octopus camouflage pigment; orcas developing cultural hunting strategies against great white sharks; the bizarre chemistry behind civet-processed luxury coffee; and a UCLA breakthrough that pushes telescope resolution beyond the classical diffraction limit. Summary UCSD’s biosynthesis breakthrough — how researchers engineered a growth-coupled, plug-and-play metabolic pathway to mass-produce xanthomatin, the cephalopod pigment behind octopus camouflage. Orca vs. shark culture wars — first-ever documentation of coordinated predation on juvenile great whites in Mexican waters, plus how whales transmit learned behavior socially. The paradox of civet coffee — wild civet gut chemistry, medium-chain esters, and how microbial fermentation creates the world’s most expensive “biologically processed” coffee. UCLA’s telescope hack — a mode-sorting instrument that extracts phase information from starlight, enabling sub-diffraction-limited imaging and revealing asymmetric hydrogen disks around distant stars. Show Notes UCSD — Nature Biotechnology (xanthomatin biosynthesis) Orca Predation Study — Frontiers in Marine Science Civet Coffee Chemistry — Nature Scientific Reports UCLA Sub-Diffraction Telescope Method — ApJ Letters

AI, Eyes, and the Sky — From Synthetic Genomes to Restored Vision and Cosmic Mysteries Hosted by Lester Nare and Krishna Choudhary, this episode of From First Principles explores three cutting-edge breakthroughs connecting medicine, technology, and astronomy. Summary • AI for Oncology, Minus the Privacy Risk: University of Toronto researchers develop OncoGAN—a generative model that creates realistic synthetic cancer genomes to accelerate precision oncology while protecting patient data. • Restoring Sight: The PRIMA (PRIMAvera) trial in NEJM demonstrates how a wireless sub-retinal photovoltaic implant can restore central vision in people with advanced macular degeneration. • Revisiting Cosmic Transients: New analyses of Palomar’s POSS-I plates re-examine the “multi-point transients” with fresh alignment statistics and an innovative Earth’s-shadow control test. Show Notes • University of Toronto — OncoGAN / Synthetic Cancer Genomes (Cell Genomics) • NEJM — PRIMA (PRIMAvera) Wireless Sub-Retinal Implant Trial for Geographic Atrophy • Palomar POSS-I Plates — Multi-Point Transient Analysis (IOP PASP Paper) • Palomar Alignment vs Earth’s Shadow Control (Nature Scientific Reports 2025)

Hosted by Lester Nare and Krishna Choudhary, this episode tells the story of Nobel laureate Chen Ning Yang and how his ideas on symmetry and gauge theory transformed modern physics. Summary • Early Years & Mentorship: From China to Chicago — learning under Fermi and Chandrasekhar. • Parity Violation: How Yang & Lee overturned the mirror-symmetry assumption and changed physics forever. • Gauge Symmetry & Yang-Mills Fields: The foundation of the Standard Model of particle physics. • Legacy & Philosophy: Why Yang saw beauty as nature’s signature and symmetry as its language. Show Notes • Nobel Prize in Physics 1957 — Chen Ning Yang & Tsung-Dao Lee • Original Yang–Mills Paper (1954, Physical Review) • Madame Wu’s Parity Violation Experiment (1957) • Biography of Subrahmanyan Chandrasekhar (University of Chicago)

Aloha internet — Lester Nare and Krishna Choudhary return with three extraordinary research stories: portable muon beams, sodium-ion batteries, and the secret to long life. Summary • Lawrence Berkeley’s compact muon beam technology and its applications in archaeology, volcanology, and security. • UC San Diego + U Chicago’s solid-state sodium battery that rivals lithium in power but not in cost. • Tongji University’s naked mole rat DNA study uncovering a genetic pathway for longer, healthier life. Show Notes Portable Muon Beam Nature News Coverage Physical Review Accelerators and Beams Paper Sodium Ion Batteries Science Daily Coverage Joule Paper (2025) Naked Mole Rats & Longevity BBC Coverage Science Journal Paper

After a packed week of Nobel Prize coverage, Lester and Krishna look back on how From First Principles began and why they built it as an “ESPN for Science.” They revisit 2025’s Medicine, Physics and Chemistry winners and discuss why fundamental research and immigration policy are core to America’s scientific edge. Quick note: this week’s episode is in vertical format because of a technical hiccup during recording — back to widescreen next week! Summary Origin Story — Two Princeton friends from different continents unite around a shared love of science and storytelling. The Mission — Creating an “ESPN for Science” that celebrates research and the people behind it. Nobel Follow-ups — Medicine (Tregs and non-immune roles), Physics (macroscopic quantum tunneling and quantum supremacy), Chemistry (MOFs and industrial scaling). Funding + Immigration — Why public research grants and curating global talent are vital to scientific leadership. Show Notes Nobel Prize Press Release (2025 Medicine) Nobel Prize Press Release (2025 Physics) Nobel Prize Press Release (2025 Chemistry) Nature Genetics (2001) — FOXP3 Mutation Causes Dysregulation Nature (1999) — MOF-5 Discovery (Omar Yaghi et al.) Google Quantum AI Lab — Quantum Supremacy (Nature, 2019)

Hosted by Lester Nare and Krishna Choudhary, this one-episode special brings all three 2025 Nobel Prizes in the sciences into a single listen: Medicine (immune tolerance and FOXP3), Physics (macroscopic quantum tunneling in superconducting circuits), and Chemistry (metal–organic frameworks and “new rooms for chemistry”). Summary Medicine: Regulatory T cells and the FOXP3 gene that prevent autoimmune disease. Physics: Macroscopic quantum tunneling and energy quantization in electrical circuits — the bridge to today’s qubits. Chemistry: Metal–Organic Frameworks (MOFs) — modular porous crystals enabling CO₂ capture, water harvesting, and hydrogen storage. Show Notes Nobel Prize Press Release (2025 Medicine) Nature Genetics (2001) — FOXP3 mutation and IPEX link Nature Genetics (2001) — FOXP3 Mutation Causes Dysregulation Nature Genetics (2001) — FOXP3 Gene Cause IPEX Syndrome Science (2003) — FOXP3 function in regulatory T cells German Journal of Immunology (1995) — Sakaguchi’s first Treg paper Nobel Prize Press Release (2025 Physics) Physical Review Letters (1980s) — Macroscopic Quantum Tunneling Experiments (UC Berkeley) BCS Theory (1972 Nobel) — Bardeen, Cooper & Schrieffer, University of Illinois Josephson Effect (1973 Nobel) — Brian D. Josephson Google Quantum AI Lab — Quantum Supremacy Paper (Nature, 2019) Nobel Prize Press Release (2025 Chemistry) Nature (1999) — MOF-5 Discovery (Omar Yaghi et al.) Science (2003) — Reticular Chemistry Foundations Journal of the American Chemical Society (1989, 1990) — Richard Robson’s Early Frameworks Lawrence Berkeley National Laboratory — ChatMOF and AI-Assisted Materials Discovery

Hosted by Lester Nare and Krishna Choudhary, this two-story, 2.5-hour special sets the table for Nobel Prize Week with deep dives into two recent Nobel-winning domains—gene editing (CRISPR) and gravitational waves (LIGO)—and how AI is accelerating both. We trace CRISPR from bacterial immunity to Stanford’s new “CRISPR-GPT” lab co-pilot, then pivot to how machine learning upgrades are pushing LIGO past its noise limits to capture new classes of gravitational waves. Summary • CRISPR, from bacterial immune memory to RNA-programmable genome editing • The 2012 Science breakthrough: guide RNAs unlock programmable editing • The patent saga and the 2020 Nobel Prize in Chemistry • Stanford’s CRISPR-GPT: an AI “co-pilot” trained on expert lab threads and papers • Experiment planning, guide design, and safety guardrails for CRISPR-GPT • Biosecurity and ethical guardrails around AI in biology • LIGO’s foundations: Einstein’s equations, binary pulsars, and interferometer engineering • The “noise budget”: seismic, environmental, and quantum limits • AI-driven denoising and template generation: unlocking earlier inspirals and tougher detections • Funding, leadership, and the global policy race to keep LIGO competitive • Big picture: AI as an amplifier of discovery in both medicine and physics Show Notes Stanford Medicine — AI + CRISPR Breakthrough Nature Biomedical Engineering — AI-CRISPR Original Paper Caltech — AI Helps LIGO Science — LIGO Machine Learning Paper

Lester Nare and Krishna Choudhary return for Episode 9 of From First Principles, breaking down the latest breakthroughs across AI, physics, biology, and astronomy. From China’s stunning AI leap with DeepSeek to time crystals you can actually see, hidden viruses in our DNA, and the brightest fast radio burst ever detected—this episode spans the cutting edge of science and its global implications. Summary • China’s DeepSeek AI model: geopolitics, open science, and the future of AI competition • Time crystals at room temperature: from theoretical physics to practical cryptography • Hidden viruses in our DNA: new structures decoded with potential for cancer & autoimmune therapies • Brightest fast radio burst: unraveling cosmic mysteries with new telescopes and James Webb Show Notes • Nature: China’s DeepSeek AI paper (1) • Nature: China’s DeepSeek AI paper (2) • Nature: Time crystals with liquid crystals • Science Advances: Viral protein structure discovery • Astrophysical Journal Letters: Brightest FRB

NASA just dropped what they’re calling the strongest evidence yet for biosignatures on Mars, so we spun up an emergency pod. We break down what the rover actually found in Jezero Crater, why geochemical “life-adjacent” reactions matter, revisit April’s hyped K2-18b claim from Cambridge, and close with brand-new JWST hints of atmospheres on Earth-sized exoplanets. Hosted by Lester Nare and Krishna Choudhary. Summary • NASA’s Mars result — Perseverance, Jezero, Bright Angel Formation, and inorganic proxies for life (iron phosphates/sulfides) plus how instruments like PIXL actually read rocks. • The April headline on K2-18b (“strongest evidence yet”) and what atmospheric retrieval really does and doesn’t prove. • Fresh JWST papers hinting at atmospheres on TRAPPIST-1 worlds — why that’s huge and how transit spectroscopy underpins it. Show Notes • NASA — Mars Biosignature Claim • Cambridge — K2-18b Atmosphere Study • Astrophysical Journal Letters — JWST TRAPPIST-1 • Atmosphere Study (Paper 1) • Astrophysical Journal Letters — JWST TRAPPIST-1 Atmosphere Study (Paper 2)

Hosted by Lester Nare and Krishna Choudhary, Episode 7 of From First Principles covers four stories at the frontier of science and technology. This week, we dive into new telescope data on the interstellar visitor 3i Atlas, explore a major longevity study that suggests life expectancy may have plateaued, unpack a breakthrough nickel catalyst that could enable no-sort plastic recycling, and look at Microsoft’s analog AI computer — a potential game-changer for energy efficiency and medical applications. Summary • Interstellar comet 3i Atlas imaged by Hubble, JWST, TESS, and ESA orbiters • Longevity study shows human life expectancy may have plateaued post-1939 births • Northwestern researchers develop a nickel catalyst for no-sort plastic recycling • Microsoft unveils an analog optical AI computer with 100x GPU efficiency Show Notes Space.com — 3I/Atlas Coverage PNAS — Longevity Plateau Study Nature Chemistry — No-Sort Plastic Catalyst Nature — Analog AI

Hosted by Lester Nare and Krishna Choudhary, Episode 6 of From First Principles covers four groundbreaking stories in science—from rare cosmic explosions to synthetic biology breakthroughs that could save our food supply. This week, we dive into a never-before-seen type of supernova, explore a surprising alliance of viruses and bacteria against cancer, unpack how scientists are turning electron spin into power, and highlight Oxford’s CRISPR-based superfood for honeybees. Summary A naked supernova reveals the inner layers of a dying star Viruses and bacteria team up to fight cancer with Trojan-horse biology Harnessing electron spin for ultra-efficient future tech Scientists engineer bee superfood to save pollinators and agriculture Show Notes CNN — New Supernova Discovery Nature — Virus+Bacteria Therapy Phys.org — Spintronics Study BBC — Bee Superfood

This week we break down four big stories—no PhD required. Reading “inner speech”: Invasive brain–computer interfaces record neurons in motor cortex and decode attempted vs. inner speech into words. Results from Stanford even generalize to simple symbols and numbers. Cool science, huge privacy questions, and a proposed “brain password” to keep users in control. What makes us human: UC San Diego highlights human accelerated regions (HARs)—genomic control switches (promoters/enhancers) that tune when and where genes are used. We revisit classic HAR examples and a new result connecting a specific HAR to brain development. Diamonds get an upgrade: Scientists at HPSTAR (Beijing) grow stronger lab diamonds with clear industrial upside—from cutting tools to power electronics—and potential to reduce harmful mining incentives. International Year of Quantum (2025): A fast retrospective on 100 years of quantum mechanics and how today’s quantum tech is reshaping computing, sensing, and materials. Hosts: Lester Nare & Dr. Krishna Choudhary Show: From First Principles Podcast

Interstellar visitor #3 is here. We unpack 3I ATLAS (why it’s moving so fast, why we finally saw a tail, and how Hubble/JWST—and maybe even Juno—could nail down its makeup). Then we dive into the Vera Rubin Observatory, the 32-gigapixel camera that will turn the entire sky into a time-lapse movie and supercharge discovery. Next: AI just boosted CRISPR by predicting and guiding DNA repair (Pythia), making edits cleaner—especially in non-dividing neurons. And we close with a crossover of dinos + particle physics: preserved T. rex blood vessels revealed by a synchrotron. Mystery Box: the viral “Black aliens” meme.

We go from the universe’s first chemistry to tomorrow’s designer biology, swing by Mars to tune Europa Clipper’s ice radar, and finish with a fresh take on the double-slit experiment. In this episode The “oldest molecule” puzzle (HeH⁺), cooling the early universe, and why JWST’s findings matter Programmable proteins: reassigning codons, recoding organisms, and real biosafety Europa Clipper’s REASON radar test at Mars: frequencies, ice thickness & ocean clues Double-slit, demystified: single photons, “which-path” info, and measurement reality Chapters 00:00 Intro • 01:26 First molecule • 22:27 Programmable proteins • 43:05 Europa radar • 55:00 Double-slit • 1:15:03 Sign-off

Lester and Dr. Krishna dive into: • Beetlejuice & “Bracelet” – why a red super-giant may soon swallow its tiny partner • Atomic Harlem Shake – 0.15 Å resolution images of thermal jiggles in 2-D materials • Too Fast, Too Furious – IceCube’s constraints on proton fractions in 10²⁰ eV cosmic rays • Interstellar Google Maps – New Horizons proves star-pattern navigation works • Mind-Body Woo-Woo – VR coughs that literally raise your white-blood-cell count

Last week the Earth finished a full rotation one millisecond early – but that’s just the opener. In this week’s From First Principles we dive into six mind-bending headlines with our trademark mix of hard science and light-hearted banter: Earth’s fastest spin ever recorded – what shaved a millisecond off the day and why your chakras are still safe. ALMA spots a “baby Earth” forming 1,300 light years away – the first direct look at rocky planets in the making. Biggest black-hole merger on record – 15 ☉ of mass vaporized into pure gravitational waves, detected by LIGO/Virgo/KAGRA. CRISPR reveals a vitamin-D “kill switch” for tumors – how silencing one gene in pancreatic & colon cancers triggers 4,000 downstream changes. A star that died… then died again – the first confirmed “double-detonation” white-dwarf supernova. DeepMind’s Aeneas AI deciphers broken Latin tablets – giving historians new text, provenance and dating in seconds. 👋 Hosts • Lester Nare – storyteller & professional curiosity machine • Dr. Krishna Choudhary – Princeton-trained physicist & cosmic tour guide 👍 Like what you hear? Hit Subscribe, ring the bell 🔔, and drop your questions for next week’s episode.