Bookclub: How Life Works by Philip Ball

Oxide and Friends · 22 May 2024 · 1h 50m · Episode 13

What this episode covers

Bryan Cantrill and Adam Leventhal of Oxide Computer Company are joined by biologist Greg Cost to discuss Philip Ball's book, How Life Works. The conversation explores the fundamental differences between deterministic computer systems and stochastic biological systems, highlighting concepts like Turing patterns, RNA's role as a precursor to DNA, and the robustness of life. They also discuss specific biological phenomena including Xenopus frogs, xenobots, and the Anton supercomputer used for molecular dynamics simulations.

Mentioned

Companies
Oxide Computer Company, Addition Therapeutics, Jack in the Box, Wendy's
Products
xenobots
Tools
Anton
Also
Philip Ball, How Life Works, Greg Cost, Bryan Cantrill, Adam Leventhal, Alan Turing, Xenopus, Red Hat Summit, Oakland Pollers, Gaurav Venkataraman, Dennis Noble, Nature, The Imitation Game, Leslie Valiant, Carl Woese, David Shaw, Susan Lindquist, Erwin Schrodinger, What is Life, The Microbe Hunters, Richard Rhodes, Deadly Feasts, Fast Food Nation

Other shows on the same ground, closest first.

  • Embedded.fm · 1h 03m

    97: Bubblesort Yourself

    Professor Paul Fishwick of the University of Texas at Dallas discusses his work in 'Aesthetic Computing' and the 'Creative Automata' center, where students use art and physical media to model computer science concepts. He describes building a 'water computer' to simulate predator-prey dynamics using Forrester's System Dynamics, and explains how using diverse media like Max/MSP, Minecraft, and sculpture helps demystify complex topics like differential equations and state machines for non-engineers. The conversation highlights the importance of integrating arts into STEM education to foster intuitive understanding and public engagement with technology.

  • Robot Talk · 25m

    Episode 83: Life-like artificial systems - Estelle Raffy

    Estelle Raffy, a PhD student at the University of Bristol, explains how decentralized biological systems like octopuses and single cells inspire her work on 'life-like' artificial systems. She details the use of tensegrity structures in her 10-segment robot prototype, where distributed microcontrollers manage homeostasis and resilience without central control. Raffy also discusses the MorphoTalks seminar series, which explores morphological computation and the blurred lines between intelligence and adaptive behavior across disciplines.

  • Embedded.fm · 1h 10m

    275: Don't Do What the Computer Tells You (Repeat)

    Janelle Shane, founder of AI Weirdness, explains how character-level Recurrent Neural Networks (RNNs) generate nonsensical but humorous outputs like paint colors and ice cream flavors by predicting the next character in a sequence. She discusses the limitations of these models, such as short memory windows and the inability to understand context, which leads to absurd recipes and image generation artifacts in BigGAN. Shane warns against trusting AI for critical decisions, citing biased training data in hiring algorithms, and highlights that current AI lacks the complexity of biological brains, comparing them to jellyfish in terms of neuron count.

  • The Next Byte Podcast · 22m

    48. How Robots Can Reproduce and Create Organs

    Hosts Daniel and Forbode discuss two recent advances in bio-engineering: the creation of self-replicating 'Xenobots' by a team from the University of Vermont, Tufts University, and Harvard, and new tissue engineering techniques from EPFL. They explain how Xenobots are assembled from African frog stem cells and designed via AI simulation to swim and reproduce, raising ethical questions about playing God. They then detail how EPFL researchers use mechanobiology and microactuators to control the shape of epithelial tissues, solving the problem of collapse and enabling potential vascularization for medical use.

The summary, chapters and topics are generated from the episode’s audio by this directory, not written by Oxide and Friends. The episode itself belongs to its publisher.