From First Principles

Krishna Choudhary and Lester Nare

From First Principles is a fast, funny, and rigorous breakdown of the biggest science stories of the week, hosted by Lester Nare and physicist Krishna Choudhary, PhD. We go past headlines into the actual mechanics: what happened, why it matters, and what everyone’s missing. Expect physics, space, AI, energy, biotech, and the occasional “wait… is that real?” story. If you’re curious, skeptical, and you like learning in public — you’re in the right place.

  1. 2 HR AGO

    How Scientists Actually Study Dark Matter (EP 42)

    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 substructureEuclid mission overviewRubin Observatory overviewRoman Space Telescope mission context

    1hr 7min
  2. 13 MAY

    Dr. John Mulchaey on Carnegie Science and the Future of Astronomy (EP 41)

    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 showDonate: FFPod.com/donateFollow: @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/

    37 min
  3. 29 APR

    Ant Scans, Lunar Chickpeas, Hidden Galaxies & Superconductivity (EP 40)

    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 showDonate: FFPod.com/donateFollow: @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

    37 min
  4. 31 MAR

    Can AI Help Wake Coma Patients? The Science of Consciousness (EP 35)

    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 showDonate: FFPod.com/donateFollow: @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

    1hr 9min

About

From First Principles is a fast, funny, and rigorous breakdown of the biggest science stories of the week, hosted by Lester Nare and physicist Krishna Choudhary, PhD. We go past headlines into the actual mechanics: what happened, why it matters, and what everyone’s missing. Expect physics, space, AI, energy, biotech, and the occasional “wait… is that real?” story. If you’re curious, skeptical, and you like learning in public — you’re in the right place.

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