According to Google DeepMind, Gemini 2.5 Flash leverages advanced AI reasoning to infer sequential events in visual content, such as predicting what happens before or after a depicted moment (source: @GoogleDeepMind). In a recent demonstration, Gemini 2.5 Flash was shown an image of a balloon floating towards a cactus, and it accurately generated the likely next scenario—anticipating the balloon's interaction with the cactus. This capability highlights significant advancements in AI-powered visual understanding, which can power practical applications in autonomous vehicles, robotics, security, and creative industries by enabling machines to better interpret and respond to real-world events (source: @GoogleDeepMind).

According to @AIatMeta, V-JEPA 2 is a breakthrough AI world model that delivers state-of-the-art performance in visual understanding and prediction. This new system empowers robots with zero-shot planning capabilities, enabling them to autonomously plan and execute tasks in previously unseen environments. The release of V-JEPA 2 opens significant business opportunities for robotics, automation, and industrial AI applications, as it allows for rapid deployment in dynamic real-world scenarios without the need for extensive retraining. The research and downloadable model are available, providing direct access for developers and enterprises looking to integrate advanced visual reasoning into their AI solutions (source: @AIatMeta, June 11, 2025).

According to Meta AI (@MetaAI), the company has introduced V-JEPA 2, a new world model featuring 1.2 billion parameters that achieves state-of-the-art performance in visual understanding and prediction tasks. V-JEPA 2 is designed to enable AI systems to adapt efficiently in dynamic environments and rapidly acquire new skills, addressing key challenges in autonomous systems and robotics. This advancement enhances practical applications such as autonomous navigation, robotics, and real-time video analysis, offering significant business opportunities for industries seeking scalable AI-driven solutions for complex visual tasks (Source: @MetaAI, Twitter, June 2024).