World Model · podcast knowledge graph

Pushing compute to the limits of physics

2025-07-21 · 84 min · 30 entities

episode page audio

Asserted relationships

  • → references Articles website
    0.77
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://nature.com/articles/nrn2787
  • → references Information Entropy person
    0.77
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://plato.stanford.edu/entries/information-entropy
  • → references Holographic Principle person
    0.77
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://en.wikipedia.org/wiki/Holographic_principle
  • → references Landauer'S Principle person
    0.77
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://en.wikipedia.org/wiki/Landauer%27s_principle
  • 0.77
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://en.wikipedia.org/wiki/Fisher%27s_fundamental_theorem_of_natural_selection
  • → references Quantum Neural Network company
    0.77
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://en.wikipedia.org/wiki/Quantum_neural_network
  • → references Markov Chain Monte Carlo person
    0.77
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://en.wikipedia.org/wiki/Markov_chain_Monte_Carlo
  • → founded Thermodynamic company
    0.54
    evidence rules-v4
    founder of Thermodynamic
  • → founded Thermodynamic company
    0.54
    evidence rules-v4
    founder of Thermodynamic
  • → works at Thermodynamic company
    0.50
    evidence rules-v4
    founder of Thermodynamic
  • → works at Thermodynamic company
    0.50
    evidence rules-v4
    founder of Thermodynamic
  • → discusses Technology company
    0.40
    evidence rules-v4
    Feed category: Technology
  • → references gemini.google.com website
    0.38
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://gemini.google.com/
  • → references Wheeler website
    0.38
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://cqi.inf.usi.ch/qic/wheeler.pdf
  • → references Wilsonchap website
    0.38
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://damtp.cam.ac.uk/user/dbs26/AQFT/Wilsonchap.pdf
  • → references A Tutorial On Energy Based Learning website
    0.38
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://researchgate.net/publication/200744586_A_tutorial_on_energy-based_learning

Entities found in this episode

websites 10

  • mentioned Articles website
    0.90
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://nature.com/articles/nrn2787
  • references Articles website
    0.77
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://nature.com/articles/nrn2787
  • mentioned gemini.google.com website
    0.45
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://gemini.google.com/
  • mentioned Wheeler website
    0.45
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://cqi.inf.usi.ch/qic/wheeler.pdf
  • mentioned Wilsonchap website
    0.45
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://damtp.cam.ac.uk/user/dbs26/AQFT/Wilsonchap.pdf
  • 0.45
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://researchgate.net/publication/200744586_A_tutorial_on_energy-based_learning
  • references gemini.google.com website
    0.38
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://gemini.google.com/
  • references Wheeler website
    0.38
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://cqi.inf.usi.ch/qic/wheeler.pdf
  • references Wilsonchap website
    0.38
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://damtp.cam.ac.uk/user/dbs26/AQFT/Wilsonchap.pdf
  • 0.38
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://researchgate.net/publication/200744586_A_tutorial_on_energy-based_learning

companys 9

  • mentioned Quantum Neural Network company
    0.90
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://en.wikipedia.org/wiki/Quantum_neural_network
  • references Quantum Neural Network company
    0.77
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://en.wikipedia.org/wiki/Quantum_neural_network
  • mentioned Thermodynamic company
    0.68
    evidence rules-v4
    founder of Thermodynamic
  • founded Thermodynamic company
    0.54
    evidence rules-v4
    founder of Thermodynamic
  • founded Thermodynamic company
    0.54
    evidence rules-v4
    founder of Thermodynamic
  • mentioned Technology company
    0.50
    evidence rules-v4
    Feed category: Technology
  • works at Thermodynamic company
    0.50
    evidence rules-v4
    founder of Thermodynamic
  • works at Thermodynamic company
    0.50
    evidence rules-v4
    founder of Thermodynamic
  • discusses Technology company
    0.40
    evidence rules-v4
    Feed category: Technology

persons 8

  • mentioned Information Entropy person
    0.90
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://plato.stanford.edu/entries/information-entropy
  • mentioned Holographic Principle person
    0.90
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://en.wikipedia.org/wiki/Holographic_principle
  • mentioned Landauer'S Principle person
    0.90
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://en.wikipedia.org/wiki/Landauer%27s_principle
  • mentioned Markov Chain Monte Carlo person
    0.90
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://en.wikipedia.org/wiki/Markov_chain_Monte_Carlo
  • references Information Entropy person
    0.77
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://plato.stanford.edu/entries/information-entropy
  • references Holographic Principle person
    0.77
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://en.wikipedia.org/wiki/Holographic_principle
  • references Landauer'S Principle person
    0.77
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://en.wikipedia.org/wiki/Landauer%27s_principle
  • references Markov Chain Monte Carlo person
    0.77
    evidence rules-v4
    Link in episode "Pushing compute to the limits of physics": https://en.wikipedia.org/wiki/Markov_chain_Monte_Carlo

concepts 2

podcasts 1

Episode description as stored
Dr. Maxwell Ramstead grills Guillaume Verdon (AKA “Beff Jezos”) who's the founder of Thermodynamic computing startup Extropic. Guillaume shares his unique path – from dreaming about space travel as a kid to becoming a physicist, then working on quantum computing at Google, to developing a radically new form of computing hardware for machine learning. He explains how he hit roadblocks with traditional physics and computing, leading him to start his company – building "thermodynamic computers." These are based on a new design for super-efficient chips that use the natural chaos of electrons (think noise and heat) to power AI tasks, which promises to speed up AND lower the costs of modern probabilistic techniques like sampling. He is driven by the pursuit of building computers that work more like your brain, which (by the way) runs on a banana and a glass of water!  Guillaume talks about his alter ego, Beff Jezos, and the "Effective Accelerationism" (e/acc) movement that he initiated. Its objective is to speed up tech progress in order to “grow civilization” (as measured by energy use and innovation), rather than “slowing down out of fear”. Guillaume argues we need to embrace variance, exploration, and optimism to avoid getting stuck or outpaced by competitors like China. He and Maxwell discuss big ideas like merging humans with AI, decentralizing intelligence, and why boundless growth (with smart constraints) is “key to humanity's future”. REFS: 1. John Archibald Wheeler - "It From Bit" Concept 00:04:45 - Foundational work proposing that physical reality emerges from information at the quantum level Learn more: https://cqi.inf.usi.ch/qic/wheeler.pdf   2. AdS/CFT Correspondence (Holographic Principle) 00:05:15 - Theoretical physics duality connecting quantum gravity in Anti-de Sitter space with conformal field theory https://en.wikipedia.org/wiki/Holographic_principle   3. Renormalization Group Theory 00:06:15 - Mathematical framework for analyzing physical systems across different length scales https://www.damtp.cam.ac.uk/user/dbs26/AQFT/Wilsonchap.pdf   4. Maxwell's Demon and Information Theory 00:21:15 - Thought experiment linking information processing to thermodynamics and entropy https://plato.stanford.edu/entries/information-entropy/   5. Landauer's Principle 00:29:45 - Fundamental limit establishing minimum energy required for information erasure https://en.wikipedia.org/wiki/Landauer%27s_principle   6. Free Energy Principle and Active Inference 01:03:00 - Mathematical framework for understanding self-organizing systems and perception-action loops https://www.nature.com/articles/nrn2787   7. Max Tegmark - Information Bottleneck Principle 01:07:00 - Connections between information theory and renormalization in machine learning https://arxiv.org/abs/1907.07331   8. Fisher's Fundamental Theorem of Natural Selection 01:11:45 - Mathematical relationship between genetic variance and evolutionary fitness https://en.wikipedia.org/wiki/Fisher%27s_fundamental_theorem_of_natural_selection   9. Tensor Networks in Quantum Systems 00:06:45 - Computational framework for simulating many-body quantum systems https://arxiv.org/abs/1912.10049   10. Quantum Neural Networks 00:09:30 - Hybrid quantum-classical models for machine learning applications https://en.wikipedia.org/wiki/Quantum_neural_network   11. Energy-Based Models (EBMs) 00:40:00 - Probabilistic framework for unsupervised learning based on energy functions https://www.researchgate.net/publication/200744586_A_tutorial_on_energy-based_learning   12. Markov Chain Monte Carlo (MCMC) 00:20:00 - Sampling algorithm fundamental to modern AI and statistical physics https://en.wikipedia.org/wiki/Markov_chain_Monte_Carlo   13. Metropolis-Hastings Algorithm 00:23:00 - Core sampling method for probability distributions https://arxiv.org/abs/1504.01896 ***SPONSOR MESSAGE*** Google Gemini 2.5 Flash is a state-of-the-art language model in the Gemini app. Sign up at https://gemini.google.com