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    Physical AI reliability beyond the lab discussed at ETH, speaker says

    The visiting speaker says ETH’s Reliable ML team hosted them for a talk covering “mastery-first physical AI” and what reliability means after deployment.

    MW
    1 Source, 22d ago, first seen 22d ago

    TLDR

    A visiting speaker says they discussed “mastery-first physical AI” at ETH, including what reliability means once models leave the lab and are deployed. They thanked the Reliable ML team for hosting and praised the sharp questions as the kind of discussion robotics and physical AI need.

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    1 Source, first seen 22d ago

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    Combined views

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    1 Source, first seen 22d ago

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    1 Source

    @m_wulfmeierThank you to the Reliable ML team for having me at @ETH_en last week! Great to talk about mastery-first physical AI and what reliability means once models leave the lab and get deployed. Huge thanks to the organizers @Manish8Prajapat, Bruce Lee, Ramzi Dakhmouche, Ehsan Sharifian, and to @arkrause for the invitation. Lots of sharp questions and exactly the kind of discussion #robotics and #PhysicalAI need right now. @ETH_AI_Center @nomagicAI

    1 Source

    @m_wulfmeierThank you to the Reliable ML team for having me at @ETH_en last week! Great to talk about mastery-first physical AI and what reliability means once models leave the lab and get deployed. Huge thanks to the organizers @Manish8Prajapat, Bruce Lee, Ramzi Dakhmouche, Ehsan Sharifian, and to @arkrause for the invitation. Lots of sharp questions and exactly the kind of discussion #robotics and #PhysicalAI need right now. @ETH_AI_Center @nomagicAI