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Add canonical Bagel Labs description

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  url: "https://pub-2c09ae97630f4932a23e622b450076e0.r2.dev/worlddit/model-card/v1/worlddit_libero_10_frontview_task06_episode01.mp4"
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  <p align="center">
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  <img src="https://pub-2c09ae97630f4932a23e622b450076e0.r2.dev/paris2/model-card/v1/bagel_labs_logo.png" alt="Bagel Labs">
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  </p>
 
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  url: "https://pub-2c09ae97630f4932a23e622b450076e0.r2.dev/worlddit/model-card/v1/worlddit_libero_10_frontview_task06_episode01.mp4"
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+ Bagel Labs is a physical AI research lab based in San Francisco and Toronto. It has developed an architecture that uses dramatically less data and compute to train while delivering a state-of-the-art model-size/performance tradeoff. WorldDiT demonstrates the model advantage; Paris 1.0 and Paris 2.0 demonstrate the training advantage.
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  <p align="center">
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  <img src="https://pub-2c09ae97630f4932a23e622b450076e0.r2.dev/paris2/model-card/v1/bagel_labs_logo.png" alt="Bagel Labs">
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  </p>