Guillaume Verdon joins MTS to discuss scaling thermodynamic computing, replacing classical bit architecture with pbits, and building software frameworks for stochastic programming. He outlines the trade-offs between numerical precision and power efficiency when running AI models on low-power chips. Additionally, he shares how thermodynamic systems can co-exist with GPUs to tackle complex frontier problems.

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https://x.com/GillVerd

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Timestamps:

(00:00) Introduction

(00:01) Scaling Extropic’s New Z1 Hardware

(00:04) Running Current AI Models on Z1

(00:07) Moving Away From Deterministic Computing

(00:11) Comparing Probabilistic Bits to Qubits

(00:13) Explaining the Torcs Software Framework

(00:15) Future of Classical Computers and GPUs

(00:19) Onboarding Developers onto Extropic Frameworks

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Note: This podcast is not investment, legal, or tax advice, and is intended for informational and entertainment purposes only. Hosts and guests may hold positions in the companies and securities discussed; do your own research before acting on anything you hear.

Classical Computing Can't Scale AI | Guillaume Verdon

MTS

Classical Computing Can't Scale AI | Guillaume Verdon