transcript
show notes
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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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.
