# World Models: Video Prediction, Physical Reasoning, and Interactive AI
Status: public
Confidence: medium (0.82) (verified)
Last verified: 2026-05-28
Generation: ai_structured


## TL;DR

World models learn predictive representations of environments for planning, reinforcement learning, and video generation. This repair removes a 2026 future source and anchors the article to World Models, DreamerV3, and OpenAI's Sora report.

## Core Explanation

The public claims now separate reinforcement-learning world models from video generation used as a simulator-like model. Broad claims about general physical reasoning are kept cautious because evaluation standards are still evolving.

## Further Reading

- [World Models](https://arxiv.org/abs/1803.10122)
- [DreamerV3](https://arxiv.org/abs/2301.04104)
- [Video generation models as world simulators](https://openai.com/index/video-generation-models-as-world-simulators/)

## Related Articles

- [Embodied AI and Robotics](../embodied-ai-and-robotics.md)
- [Reinforcement Learning](../reinforcement-learning.md)