A world model is an AI system that learns a predictive representation of how an environment changes over time. It can use observations, actions, or language to estimate future states and possible outcomes before an agent acts. World models support planning in model-based reinforcement learning, robotics, embodied AI, autonomous driving, and interactive simulation. This site catalogs these systems with model records, research papers, benchmark context, and source links. Start with the world models database, compare systems on the leaderboard, or read the Performance Index methodology.
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| Attribute | Value |
|---|---|
| Model | Odyssey-2 |
| Lab / Organization | Odyssey |
| Category | Foundation World Model |
| Subtype | General-Purpose Interactive World Model |
| World Model Type | Causal autoregressive interactive video world model |
| Primary Domain | Interactive Video |
| Architecture | Causal autoregressive video world model |
| Modality | Text + Video Context → Interactive Video Stream |
| Training Method | Causal autoregressive world-model training |
| Status | active |
| Year | 2025 |
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Odyssey-2 is an interactive world model that generates video causally and autoregressively, responding to new text input from the current context rather than relying on a fixed video ending.
Odyssey-2 is a causal autoregressive interactive video world model developed by Odyssey in 2025 for interactive video.
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| Signal | Value |
|---|---|
| Definition | Odyssey-2 is a causal autoregressive interactive video world model developed by Odyssey in 2025 for interactive video. |
| Short Description | Odyssey's general-purpose world model for real-time, open-ended interactive video. |
| Benchmark Rows | 0 |
| FAQ Entries | 1 |
| Related Models | 3 |
| Related Guides | 0 |
| Related Research Topics | 0 |
| Last Updated | 2026-07-19 |
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| Reference | Link |
|---|---|
| Odyssey, 2025. Introducing Odyssey-2: A General-Purpose World Model. | Open source |
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Odyssey explicitly calls Odyssey-2 a general-purpose world model and describes its causal interactive architecture.
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Published by world-models.io editorial board.
Lead editor Tyler D. - Technical editor, methodology and benchmark analysis.
This model page synthesizes primary papers, official model pages, benchmark evidence, and related world-models.io context into a reference resource.
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: 2026-07-19.
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