“Could Google’s Veo 3 be the start of playable world models?”

Could Google’s Veo 3 Signal the Dawn of Interactive World Models?

In recent developments within AI technology, a fascinating distinction is emerging between two types of models: video-generation and world models. While video-generation models excel at creating realistic visual sequences, world models take a different approach by simulating the underlying dynamics of real-world environments. This capability enables AI agents not only to visualize but also to predict how environments evolve in response to different actions—paving the way for more interactive and predictive systems.

Google’s ongoing research hints at a significant breakthrough in this area. The tech giant is leveraging its multimodal foundation model, Gemini 2.5 Pro, to develop a comprehensive world model that mimics certain aspects of human cognition. By doing so, Google aims to enable AI systems that can simulate the complexities of real-world physics and interactions.

This move builds on earlier strides made by DeepMind, which in December introduced Genie 2—an innovative model capable of generating expansive, interactive worlds akin to video game environments. Just a month later, Google formed a new team dedicated to advancing AI systems that can effectively model the physical world, signaling a strategic investment in the next generation of AI-driven interactive environments.

The question now is whether Google’s Veo 3 will be the next step toward truly immersive, playable world models—bringing us closer to AI that can not only see and generate but also understand, predict, and interact with the world in a meaningful way. As these technologies evolve, they hold the potential to revolutionize fields ranging from gaming and simulation to robotics and virtual environments.

Stay tuned for more updates on how Google’s breakthroughs could redefine the future of AI interaction and real-world environment modeling.