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Episode Details
EPISODE INFO
- Released
- January 24, 2024
- Duration
- 40m
- Channel
- No Priors
- Watch on YouTube
- ▶ Open ↗
EPISODE DESCRIPTION
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. 00:00 Peter Chen Background 00:58 How robotics AI will drive AI forward 03:00 Moving from research to a commercial company 05:46 The argument for building incrementally 08:13 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
SPEAKERS
Sarah Guo
hostPeter Chen
guest
EPISODE SUMMARY
In this episode of No Priors, featuring Sarah Guo and Peter Chen, No Priors Ep. 48 | With Covariant CEO Peter Chen explores Covariant’s Peter Chen Builds Data-Driven Foundation Models For Real-World Robots Peter Chen, CEO and co‑founder of Covariant, explains how the company is building a foundation model for robotics by deploying AI-powered robots in warehouses and logistics centers.
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