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Building the factories of the future with Covariant CEO Peter Chen

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Manage episode 397542430 series 3444082
Content provided by Conviction. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Conviction 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://player.fm/legal.

Building adaptive AI models that can learn and complete tasks in the physical world requires precision but these AI robots could completely change manufacturing and logistics processes. Peter Chen, the co-founder and CEO of Covariant, leads the team that is building robots that will increase manufacturing efficiency, safety, and create warehouses of the future.

Today on No Priors, Peter joins Sarah to talk about how the Covariant team is developing multimodal models that have precise grounding and understanding so they can adapt to solve problems in the physical world. They also discuss how they plan their roadmap at Covariant, what could be next for the company, and what use case will bring us to the Chat-GPT moment for AI robots.

Sign up for new podcasts every week. Email feedback to show@no-priors.com

Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @peterxichen

Show Notes:

(0:00) Peter Chen Background

(0:58) How robotics AI will drive AI forward

(3:00) Moving from research to a commercial company

(5:46) The argument for building incrementally

(8:13) Manufacturing robotics today

(12:21) Put wall use case

(15:45) What’s next for Covariant Brain

(18:42) Covariant’s customers

(19:50) Grounding concepts in Ai

(25:47) How scaling laws apply to Covariant

(29:21) Covariant’s driving thesis

(32:54) the Chat-GPT moment for robotics

(35:12) Manufacturing center of the future

(37:02) Safety in AI robotics

  continue reading

93 episodes

Artwork
iconShare
 
Manage episode 397542430 series 3444082
Content provided by Conviction. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Conviction 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://player.fm/legal.

Building adaptive AI models that can learn and complete tasks in the physical world requires precision but these AI robots could completely change manufacturing and logistics processes. Peter Chen, the co-founder and CEO of Covariant, leads the team that is building robots that will increase manufacturing efficiency, safety, and create warehouses of the future.

Today on No Priors, Peter joins Sarah to talk about how the Covariant team is developing multimodal models that have precise grounding and understanding so they can adapt to solve problems in the physical world. They also discuss how they plan their roadmap at Covariant, what could be next for the company, and what use case will bring us to the Chat-GPT moment for AI robots.

Sign up for new podcasts every week. Email feedback to show@no-priors.com

Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @peterxichen

Show Notes:

(0:00) Peter Chen Background

(0:58) How robotics AI will drive AI forward

(3:00) Moving from research to a commercial company

(5:46) The argument for building incrementally

(8:13) Manufacturing robotics today

(12:21) Put wall use case

(15:45) What’s next for Covariant Brain

(18:42) Covariant’s customers

(19:50) Grounding concepts in Ai

(25:47) How scaling laws apply to Covariant

(29:21) Covariant’s driving thesis

(32:54) the Chat-GPT moment for robotics

(35:12) Manufacturing center of the future

(37:02) Safety in AI robotics

  continue reading

93 episodes

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