Meta’s V-JEPA 2: AI Learning to Understand Its Surroundings


  • Meta introduced the V-JEPA 2 AI model, designed to help AI agents understand their environment, building on the previous V-JEPA model.
  • Trained on over one million hours of video, V-JEPA 2 aims to enhance the operation of robots and AI agents in the physical world.
  • The model teaches AI to make common sense connections, similar to how young children and animals learn to predict outcomes based on experiences.
  • It enables AI to perform tasks by reasoning about actions, such as using a spatula to move eggs from a stove to a plate.
  • V-JEPA 2 is reported to be 30 times faster than Nvidia’s Cosmos model, potentially revolutionizing robotics with less dependency on extensive training data.

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