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From Data Centers to Dyson Spheres: P-1 AI's Path to Hardware Engineering AGI

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Manage episode 485172133 series 3586723
Content provided by Sequoia Capital. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sequoia Capital or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Former Airbus CTO Paul Eremenko shares his vision for bringing AI to physical engineering, starting with Archie—an AI agent that works alongside human engineers. P-1 AI is tackling the challenge of generating synthetic training data to teach AI systems about complex physical systems, from data center cooling to aircraft design and beyond. Eremenko explains how Archie breaks down engineering tasks into primitive operations and uses a federated approach combining multiple AI models. The goal is to progress from entry-level engineering capabilities to eventually achieving engineering AGI that can design things humans cannot.

Hosted by Sonya Huang and Pat Grady, Sequoia Capital

  continue reading

49 episodes

Artwork
iconShare
 
Manage episode 485172133 series 3586723
Content provided by Sequoia Capital. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sequoia Capital or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Former Airbus CTO Paul Eremenko shares his vision for bringing AI to physical engineering, starting with Archie—an AI agent that works alongside human engineers. P-1 AI is tackling the challenge of generating synthetic training data to teach AI systems about complex physical systems, from data center cooling to aircraft design and beyond. Eremenko explains how Archie breaks down engineering tasks into primitive operations and uses a federated approach combining multiple AI models. The goal is to progress from entry-level engineering capabilities to eventually achieving engineering AGI that can design things humans cannot.

Hosted by Sonya Huang and Pat Grady, Sequoia Capital

  continue reading

49 episodes

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