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Science

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.

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  • 22 episodes
  • Avg 1 hr 21 min
  • English

Episodes 22

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  • S2 · E34
    March 27 · 44 min

    AI Cancer Vaccines, Strange Fish, Ketamine, and Ancient Life (EP. 34)

    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

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  • S2 · E33
    March 24 · 1 hr 13 min

    Can Human Neurons Really Play Doom? The Science Behind Wetware (EP. 33)

    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

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Showing 21–22 of 22 episodes