From First Principles

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.SummaryWetware 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 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.SummaryWhy 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 showDonate: FFPod.com/donateFollow: @FFPod on X / Instagram / TikTok / FacebookShow NotesOptoEvolution / dynamic protein control (Cell)

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.SummaryLithopanspermia 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 NotesLithopanspermia / impact survival (PNAS Nexus, Johns Hopkins)https://academic.oup.com/pnasnexus/article/5/3/pgag018/8503064Pathogen-agnostic nasal vaccine (Science, Stanford)https://www.science.org/doi/10.1126/science.aea1260

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.SummaryDream 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 showDonate: FFPod.com/donateFollow: @FFPod (X / Instagram / TikTok / Facebook)

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.SummaryPlants 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 NotesStory 1 — Plant alkaloid biosynthesis (University of York)Paper — New PhytologistStory 2 — Quantum measurements with entangled atomic clouds (University of Basel)Paper — ScienceStory 3 — Alpha-K (Moffitt Cancer Center)Paper — Nature Communications

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.SummaryJWST’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 NotesJWST “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 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.SummaryRoman 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 Notes⁠Roman 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 — arXiv⁠⁠Square-Root Law of Market Impact (Universality) — Physical Review Letters⁠⁠Artemis II Countdown Demonstration Test — NASA

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.SummaryBefore 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 NotesMendel (1866) — Pea Plant GeneticsGriffith (1928) — TransformationAvery–MacLeod–McCarty (1944)Schrödinger — What Is Life?Franklin’s Photo 51Watson & Crick (1953)