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
Негізгі бет Ғылым және технология No Priors Ep. 48 | With Covariant CEO Peter Chen
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