वीडियो पर वापस

1X

1X World Model

प्लैटफ़ॉर्म
YouTube
अवधि
3:10
बोली जाने वाली भाषा
अंग्रेज़ी
व्यूज़
77.1 हज़ार
औसत कट
4.42s
स्क्रीन पर चेहरा
41%
गहरे फ़्रेम
14%
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1X World Model की ट्रांसक्रिप्ट

फ़िल्म के अपने ऑडियो से एक स्पीच मॉडल द्वारा लिखा गया, ब्रांड द्वारा नहीं। उस पल पर जाने के लिए किसी भी पंक्ति पर क्लिक करें।

  1. 0:24Evaluating the quality of a model is a long-standing challenge in robotics.
  2. 0:28This makes it incredibly difficult to define a clear path towards improving autonomy.
  3. 0:33Currently evaluating a general purpose AI model requires running physical trials across the full spectrum of scenarios it might encounter.
  4. 0:40This corresponds to a lifetime of experience in the real world.
  5. 0:43That's why we built the 1x world model, which serves as a bridge between atoms and bits.
  6. 0:50The world model is a digital twin of the real world that predicts the future consequences of a robot's actions.
  7. 0:57this deep generative neural network allows us to compress that lifetime into an instant.
  8. 1:02The 1x world model tackles the complexity of the real world
  9. 1:05by learning directly from thousands of hours of robot interaction captured from raw sensory data.
  10. 1:10This enables us to model complex physical interactions,
  11. 1:14such as the grasping of delicate objects, collisions between rigid bodies,
  12. 1:18and the deformation of objects when manipulated,
  13. 1:20giving our model a firm understanding of the physics of the world around us.
  14. 1:24As we scale up our data, especially from interesting failure modes where Neo's task execution doesn't go exactly as planned,
  15. 1:31we find that the quality and accuracy of our world model reliably improves.
  16. 1:35This pattern of improvement mirrors trends observed in other large generative models, where the capability of the model scales with collecting the right type of data.
  17. 1:45Practically speaking, we leverage the world model to quickly assess and compare across many different policies.
  18. 1:50With a general model like Redwood that is trained to handle many different tasks across different environments,
  19. 1:56the world model lets us evaluate its capabilities with measurable results, shortening our iteration speed from weeks to minutes.
  20. 2:03Here at One X, we've experimented with different modalities and sources of data, including web-scale video data,
  21. 2:09first-person perspective human data, and teleoperation.
  22. 2:13But we found that the most important type of data for scaling up the capability of our world model
  23. 2:17is NIO autonomously interacting with real environments,
  24. 2:21attempting real tasks,
  25. 2:22and succeeding and failing in interesting and diverse ways.
  26. 2:26We are only able to collect this data at scale
  27. 2:29because NIO is a safe and compliant robot
  28. 2:31capable of continually running in unstructured environments.
  29. 2:35Beyond just evaluation,
  30. 2:37the world model can fundamentally change
  31. 2:39how NIO approaches decision-making.
  32. 2:40By continuously visualizing future states,
  33. 2:43NIO can effectively use the world model as its cognitive core,
  34. 2:46dynamically planning and adjusting its actions based on predicted outcomes.
  35. 2:50This predictive capability allows Neo to execute tasks more successfully, adapt more quickly,
  36. 2:56and handle unexpected events gracefully, bringing us closer to truly intelligent general-purpose robotics.
36 पंक्तियाँ · 435 शब्द

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