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A learned generative model that produces realistic, controllable simulations of environments and their dynamics. OpenAI describes Sora as a world simulator; the term emphasizes systems that aim to replace or augment hand-built simulators.
World Simulator is a glossary concept in the concepts layer of the world models knowledge base.
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| Attribute | Value |
|---|---|
| Term | World Simulator |
| Category | Concepts |
| Definition | A learned generative model that produces realistic, controllable simulations of environments and their dynamics. OpenAI describes Sora as a world simulator; the term emphasizes systems that aim to replace or augment hand-built simulators. |
| Related Models | 3 |
| Related Research | 2 |
| Model | Lab | Category |
|---|---|---|
| Sora | OpenAI | Generative World Model |
| NVIDIA Cosmos | NVIDIA | Foundation World Model |
| UniSim | Google DeepMind | Generative World Model |
| Topic | Summary |
|---|---|
| AI Simulation Systems | How AI simulation systems and learned simulators reduce the reality gap and extend or replace hand-crafted engines for autonomous agents. |
| Foundation World Models | How foundation world models such as Cosmos and Genie 2 bring large-scale learned simulation to robotics, autonomous driving, and physical AI. |
| Term | Category | Definition |
|---|---|---|
| Foundation Model | Paradigms | A large-scale model trained on broad data that can be adapted to many downstream tasks. Foundation world models (like NVIDIA Cosmos and Genie 2) learn general-purpose representations of world dynamics, analogous to how GPT models serve as foundations for language tasks. |
| Action Conditioning | Architecture | A property of a world model whose predictions of future states depend explicitly on the action taken by the agent. Action-conditioned models support interactive simulation and planning, distinguishing true world models from passive video generators. |
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Published by world-models.io editorial board.
Lead editor Bernard Grenat.
This glossary page publishes stable definitions linked to related models, research topics, and primary-source context.
Each editorial page is assembled from primary sources, normalized into extractable summaries, checked for factual drift, and reviewed before publication or major refreshes. Last reviewed: 2026-06-21.
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