Artificial intelligence (AI) models may soon be capable of predicting aspects of the future - not just processing information, but anticipating what will happen next, Azernews reports.

According to an Axios report,“world models” learn by watching videos, digesting simulation data, and processing other spatial information, allowing them to build internal representations of objects, scenes, and physical dynamics.

The key difference between these systems and traditional language models is their ability to foresee the consequences of events in the physical world. Such AI can analyze how objects move, interact in space, and change over time - essentially giving machines an early form of intuitive physics.

However, the biggest obstacle to developing truly efficient predictive models is the lack of sufficient high-quality training data. These systems require enormous volumes of text, video, audio, and simulation materials to learn from, far beyond what current datasets typically offer.

Researchers note that as companies create richer simulated environments and more advanced synthetic data generators, the development of predictive AI may accelerate dramatically. Some experts even believe that future“world models” could be integrated into robotics and autonomous systems, enabling machines to anticipate human actions, prevent accidents, and react to unexpected situations before they occur.

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