These machines used V-JEPA 2 to pick up unfamiliar objects, reach for targets, and place items in new locations. This marks a step forward in enabling robots to function in unpredictable environments.

As the artificial intelligence (AI) race accelerates toward advanced machine intelligence (AMI), tech giants are pushing ...

V-JEPA 2 is an extension of the V-JEPA model that Meta released last year, which was trained on over 1 million hours of video. This training data is supposed to help robots or other AI agents ...

V-JEPA 2 doesn’t just identify objects — it can infer physical properties like gravity, anticipate how moving objects behave, avoid obstacles, and learn new tasks by analyzing what it sees.

Meta has now presented V-Jepa 2, a new world model that is intended to be the next step towards AMI and useful AI agents. V-Jepa stands for Video Joint Embedding Predictive Architecture. Anzeige ...

V-JEPA 2 is trained in two stages. First, it builds its foundational understanding of physics through self-supervised learning , watching over one million hours of unlabeled internet videos.

Ultimately, V-JEPA 2 became an AI model with 1.2 billion parameters. V-JEPA 2 took 1/30th the time it took NVIDIA Cosmos to create a single action plan, enabling overwhelmingly faster inference ...

V-JEPA 2 builds on Meta’s earlier version of the model released last year, called V-JEPA. This new version offers major improvements in helping machines predict how objects move, ...

Meta’s V-JEPA 2 and superintelligence lab signal bold AI ambitions, but commercial payoff remains speculative. Read why I recommend a Neutral/Hold on META stock.

According to Meta, V-JEPA 2 is 30x faster than Nvidia's Cosmos model, which also tries to enhance intelligence related to the physical world. However, Meta may be evaluating its own models ...