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    Sanja Fidler Co-Founds VeedaAI for Physical AI

    Sanja Fidler and two longtime collaborators launch VeedaAI to develop physical world models.

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    7 Sources, 42d ago, first seen 42d ago

    TLDR

    Sanja Fidler posted that she co-founded VeedaAI with Zan Gojcic and Huan Ling. The three researchers, who previously worked together at NVIDIA, announced the new company on X. Fidler wrote that the team started VeedaAI because robotics will reshape how people move goods, manufacture, and operate in the physical world. The company’s site states it is building physical world models to unlock scaling for physical AI. Retweets from Arash Vahdat and Siva Reddy, plus replies from Yue Wang and Marco Mascorro, confirm the launch announcement.

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    7 Sources, first seen 42d ago

    Combined views

    212.4K

    7 Sources, first seen 42d ago

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    157 reposts
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    99 comments
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    157 reposts

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    7 Sources

    @FidlerSanjaI’m incredibly excited to introduce @VeedaAI , which I co-founded with my incredible longtime collaborators @ZGojcic and @HuanLing6 . We started Veeda because we believe robotics will reshape the world—changing how we move people and goods, how we manufacture and build, and how we operate in the physical world. We also firmly believe that the scaling moment for Physical AI will come from robots learning through interaction with the world. Just like humans learn from interaction with their environments by trying, failing and trying again, until we succeed. And just like the capabilities of LLMs were truly unlocked when they started training in interactive environments and not only on vast amounts of internet text. For Physical AI, the central challenge is making this kind of interactive learning possible at scale. The real world is simply not a practical training ground for robots to learn through trial and error. It is unsafe, expensive, and time-consuming. To scale interactive learning, robots will need to learn in simulated reality. At Veeda, our sole mission is to build simulated reality for Physical AI. Our conviction is that this will become the critical infrastructure layer for all areas of robotics. As envisioned in pop culture, this means building “the Matrix” for Physical AI, where, through a virtual embodiment, robot intelligence can interact with an entirely virtual world in a million possible ways, learning from its own mistakes. We believe that World Models are the foundational technology that can make this possible. These generative models learn from massive amounts of sensor and physical-world data to reach the quality, diversity, and physical realism of the simulated reality that robots require. I could not be more excited to take on this challenge and build this transformative technology alongside an extraordinary team of engineers and researchers who have spent years working on some of the hardest problems across simulation, generative AI, 3D, robotics, and embodied intelligence. Together with our investors at @khoslaventures and @radicalvcfund , we intend to push the frontier of this technology and build the foundational infrastructure for interactive robotics learning and evaluation at scale. Come build this future with us. And to roboticists, help us understand what you need, we’re building this for you. http://veeda.ai
    @ArashVahdatRT @ZGojcic: The era of Physical AI is coming, and I firmly believe that embodied intelligence will not emerge from imitation learning alon…
    @MascobotI'm more excited than ever about simulation in robotics. One of the main challenges in robotics today is getting enough real-world data to meet the massive data needs of modern robotics. @FidlerSanja, @HuanLing6, and @ZGojcic, who worked on robotics simulation at NVIDIA, just launched their new company, @VeedaAI, where they're building simulated reality for robotics. I'm very excited to be an early backer of them. They're hiring, so if this resonates with you, reach out!
    @firstadopterSanja Fidler is starting a robotics AI startup with two other former Nvidia AI researchers.
    @yuewang314@FidlerSanja @VeedaAI @ZGojcic @HuanLing6 Congratulations Sanja, Zan, and Huan! This is so amazing. The future of physical AI gets brighter!
    @sivareddygRT @FidlerSanja: I’m incredibly excited to introduce @VeedaAI , which I co-founded with my incredible longtime collaborators @ZGojcic and…

    7 Sources

    @FidlerSanjaI’m incredibly excited to introduce @VeedaAI , which I co-founded with my incredible longtime collaborators @ZGojcic and @HuanLing6 . We started Veeda because we believe robotics will reshape the world—changing how we move people and goods, how we manufacture and build, and how we operate in the physical world. We also firmly believe that the scaling moment for Physical AI will come from robots learning through interaction with the world. Just like humans learn from interaction with their environments by trying, failing and trying again, until we succeed. And just like the capabilities of LLMs were truly unlocked when they started training in interactive environments and not only on vast amounts of internet text. For Physical AI, the central challenge is making this kind of interactive learning possible at scale. The real world is simply not a practical training ground for robots to learn through trial and error. It is unsafe, expensive, and time-consuming. To scale interactive learning, robots will need to learn in simulated reality. At Veeda, our sole mission is to build simulated reality for Physical AI. Our conviction is that this will become the critical infrastructure layer for all areas of robotics. As envisioned in pop culture, this means building “the Matrix” for Physical AI, where, through a virtual embodiment, robot intelligence can interact with an entirely virtual world in a million possible ways, learning from its own mistakes. We believe that World Models are the foundational technology that can make this possible. These generative models learn from massive amounts of sensor and physical-world data to reach the quality, diversity, and physical realism of the simulated reality that robots require. I could not be more excited to take on this challenge and build this transformative technology alongside an extraordinary team of engineers and researchers who have spent years working on some of the hardest problems across simulation, generative AI, 3D, robotics, and embodied intelligence. Together with our investors at @khoslaventures and @radicalvcfund , we intend to push the frontier of this technology and build the foundational infrastructure for interactive robotics learning and evaluation at scale. Come build this future with us. And to roboticists, help us understand what you need, we’re building this for you. http://veeda.ai
    @ArashVahdatRT @ZGojcic: The era of Physical AI is coming, and I firmly believe that embodied intelligence will not emerge from imitation learning alon…
    @MascobotI'm more excited than ever about simulation in robotics. One of the main challenges in robotics today is getting enough real-world data to meet the massive data needs of modern robotics. @FidlerSanja, @HuanLing6, and @ZGojcic, who worked on robotics simulation at NVIDIA, just launched their new company, @VeedaAI, where they're building simulated reality for robotics. I'm very excited to be an early backer of them. They're hiring, so if this resonates with you, reach out!
    @firstadopterSanja Fidler is starting a robotics AI startup with two other former Nvidia AI researchers.
    @yuewang314@FidlerSanja @VeedaAI @ZGojcic @HuanLing6 Congratulations Sanja, Zan, and Huan! This is so amazing. The future of physical AI gets brighter!
    @sivareddygRT @FidlerSanja: I’m incredibly excited to introduce @VeedaAI , which I co-founded with my incredible longtime collaborators @ZGojcic and…