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

Could Google’s Latest Development Signal the Dawn of Interactive World Models?

In the rapidly evolving landscape of artificial intelligence, distinctions between various types of models are becoming increasingly significant. Notably, the difference between video-generation systems and world models plays a crucial role in shaping future AI capabilities.

World models are designed to replicate the dynamics of real-world environments. Unlike their video-generation counterparts, which produce realistic video sequences, world models enable agents to anticipate how their surroundings will change based on their actions. This predictive capacity opens doors to more interactive and intelligent systems.

Recent advancements from Google suggest a promising direction toward creating truly interactive, playable environments driven by AI. The company’s upcoming release, Veo 3, appears to be a stepping stone toward the development of such capable world models.

Google is leveraging its multimodal foundation model, Gemini 2.5 Pro, aiming to transform it into a comprehensive simulator that mimics aspects of human cognition. Following this, DeepMind introduced Genie 2—a model capable of generating a seemingly endless variety of interactive worlds resembling video games, further pushing the boundaries of AI-generated environments.

Moreover, Google has been forming dedicated teams focused on building AI systems capable of simulating the physical and social aspects of our world. These efforts indicate a strategic move toward developing AI agents that don’t just generate content but can actively understand and predict the complexities of real-world dynamics.

As these technologies continue to mature, we may soon witness AI-driven systems that provide immersive, interactive experiences previously thought to be the realm of imagination—marking a significant milestone in artificial intelligence and human-computer interaction.

Stay tuned as we follow these exciting developments, which could redefine what AI can achieve in the near future.