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Announcing our first open-weights world-action model, Praxis-1. It turns out that, unsurprisingly, you can get predictably better robotics p…

Announcing our first open-weights world-action model, Praxis-1. It turns out that, unsurprisingly, you can get predictably better robotics policy performance by scaling third-person video. It’s been f

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Announcing our first open-weights world-action model, Praxis-1. It turns out that, unsurprisingly, you can get predictably better robotics policy performance by scaling third-person video. It’s been fun to see the different tasks the model can solve zero-shot around our office. We’re already working with Noble Machines, Standard Bots, and Ultra, to deploy Praxis-1 on their embodiments, and are excited to get it to the hands of more partners soon. Introducing Praxis-1, an open-weight World Action Model that turns our video pre-training expertise into real world control for robots. Robot demonstration data is limited. But video data is infinite. Praxis-1 extends our bet that the best policy models will learn from video, and…

Source: Cristobal Valenzuela (X) | 2026-09-30

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