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Quan Vuong

Co-founder, Physical Intelligence

Search every verified Quan Vuong interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Quan Vuong, co-founder of Physical Intelligence, appeared on The Lightcone podcast on April 15, 2026, to discuss his company's work on a foundation model for robotics. He described the company's mission as building a model that can control any robot to perform any task it is physically capable of, and he characterized recent results as representing a "GPT-1 moment" for the field. Vuong noted that Physical Intelligence trains its models across multiple robot platforms and runs them in the cloud, with robots querying an API endpoint for actions rather than relying on on-device processing. He explained that the company tightly couples system hardware, model development, and research to manage inference time within robot control loops. Vuong also discussed the changing economics of starting a robotics business, stating that the upfront cost has decreased significantly due to cheaper hardware and improved data collection and evaluation capabilities. He said this shift enables a "Cambrian explosion" of robotics startups and encourages collaboration with Physical Intelligence. He emphasized that many companies are already interested in deploying robots in settings where occasional mistakes are acceptable, and he suggested that the required skill set for young robotics startups has changed as a result.

Recent appearances

  • The GPT Moment for Robotics Is Here

    Physical Intelligence is building a foundation model that can control any robot to do any task — what the team describes as the GPT-1 moment for robotics. The company's cross-embodiment approach trains across many different robot platforms, and recent results show tasks being performed zero-shot that last year required hundreds of hours of data collection. In this episode of The Lightcone, co-founder Quan Vuong sat down with Garry, Jared, Diana, and Harj to talk about why robotics is finally ready for its scaling moment, how PI runs its models in the cloud rather than on-device, and the playb…

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