--- title: "1X World Model | Humanoid Robotics | world-models.io" canonical: "https://world-models.io/en/models/1x-world-model/" description: "The 1X World Model is a physics-grounded video world model used to support NEO's embodied planning and generalization." author: "Tyler D." generated: "2026-10-30" --- New: the Timeline is live. Track world model releases, papers, and benchmark updates in real time. The Knowledge Hub for AI World Models # 1X World Model The 1X World Model is a physics-grounded video world model used to support NEO's embodied planning and generalization. robotics model-based-rl simulation embodied-ai ## What is a world model? 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](https://world-models.io/en/world-models-database/), compare systems on the [leaderboard](https://world-models.io/en/leaderboard/), or read the [Performance Index methodology](https://world-models.io/en/methodology/performance-index/). ## Key Attributes Static HTML snapshot of the model record for crawlers and no-JS readers. | Attribute | Value | | --- | --- | | Model | 1X World Model | | Lab / Organization | 1X | | Category | Foundation World Model | | Subtype | Humanoid Robot Video World Model | | World Model Type | Physics-grounded action-conditioned video world model | | Primary Domain | Humanoid Robotics | | Architecture | Physics-grounded action-conditioned video model for humanoid control | | Modality | Robot Video + Actions -> Future Observations | | Training Method | Embodied video prediction grounded in robot interactions and failure-aware learning | | Status | active | | Year | 2025 | | Performance Index | 79/100 (medium confidence, v1.1) | ## About 1X World Model Main editorial body preserved directly in static HTML. The 1X World Model is a video world model used inside 1X's humanoid robotics stack for NEO. According to 1X, it predicts the outcomes of the robot's actions before execution in the real world and now serves as NEO's cognitive core for generalizing to previously unseen tasks. Its emphasis is practical embodied deployment: using a world model as a decision substrate for real household robotics rather than as a benchmark-only research artifact. 1X World Model is a physics-grounded action-conditioned video world model developed by 1X in 2025 for humanoid robotics. ## Editorial Snapshot Short extractable facts for answer engines and no-JS readers. | Signal | Value | | --- | --- | | Definition | 1X World Model is a physics-grounded action-conditioned video world model developed by 1X in 2025 for humanoid robotics. | | Short Description | 1X's physics-grounded video world model for anticipating the outcomes of NEO's actions and supporting generalization to unseen household tasks. | | Benchmark Rows | 0 | | FAQ Entries | 1 | | Related Models | 3 | | Related Guides | 0 | | Related Research Topics | 0 | | Last Updated | 2026-06-12 | ## Notable Features Key capabilities associated with this model. - • Used as NEO's cognitive core - • Predicts outcomes before real execution - • Grounded in real robot interaction - • Targets unseen household tasks ## Use Cases Representative applications attached to this model record. Humanoid task planning Action evaluation Household robotics Embodied generalization ## Strengths and Limitations Balanced assessment surfaced in static HTML. ### Strengths - • Tied to real robot deployment - • Embodied action grounding - • Practical household focus - • Clear decision-support role ### Limitations - • Limited public technical detail - • No peer-reviewed benchmark suite yet - • Closed product stack ## References and Citations Primary references preserved in static HTML for citation extraction. | Reference | Link | | --- | --- | | 1X, 2025-2026. 1X World Model updates for NEO. | [Open source](https://www.1x.tech/ai) | ## Related Models Nearby models linked from the current editorial record. | Model | Category | World Model Type | Index v1.1 | | --- | --- | --- | --- | | [AMI World Model](https://world-models.io/en/models/ami-world-model/) | Foundation World Model | Announced multimodal world model initiative | N/A | | [RT-2](https://world-models.io/en/models/rt-2/) | Foundation World Model | Web-knowledge transfer model for robotics | 72/100 | | [V-JEPA 2](https://world-models.io/en/models/v-jepa-2/) | Self-Supervised World Model | Joint-embedding predictive world model for video understanding and robot planning | 87/100 | ## Frequently Asked Questions FAQ answers rendered directly into static HTML for extractable responses. ### How is the 1X World Model used? 1X presents the model as a physics-grounded predictor for NEO's actions, allowing the robot stack to anticipate consequences before acting in the real world. ## Quick Answer Short extractable summary preserved directly in static HTML. - 1X World Model is a physics-grounded action-conditioned video world model developed by 1X in 2025 for humanoid robotics. - Use this page when you need a fast read on how 1X World Model fits into the foundation world model landscape, then validate the details in the benchmarks, citations, and related pages. - A key strength surfaced in the editorial record is tied to real robot deployment. ## Editorial Trust Signals Editorial provenance and refresh policy preserved directly in static HTML. **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: 2026-06-12. Pages are refreshed when a new paper, benchmark, release, architecture update, or stronger primary source materially changes the answer a reader or AI system should retrieve. Each page links back to relevant primary sources and keeps a stable canonical URL so readers can verify claims, trace context, and reference the most up-to-date version. [See the editorial policy.](https://world-models.io/en/editorial-policy/) Primary sources only Last reviewed date visible Methodology documented Source links included Correction channel published Review date visible ## External Sources Primary model and lab sources embedded in static HTML. - [1X World Model paper](https://www.1x.tech/ai) 1X primary research source ## References 1. [[1] 1X, 2025-2026. 1X World Model updates for NEO.](https://www.1x.tech/ai)