LingBot-World AI World Model
LingBot-World is the first open-source real-time interactive world model that rivals Google Genie 3 in quality. Experience zero-code world generation from a single image. This revolutionary AI world simulator lets you explore infinite procedurally generated worlds in real-time with stable long-term memory - no pre-rendered assets, no coding required.
What is LingBot-World?
Open-source world model by Robbyant (Ant Group)
Unlike video generation models that produce passive content, LingBot-World creates interactive worlds in real-time. Objects persist when you look away, physics behave consistently, and the world responds to your every action.
Three Breakthrough Features That Define World Model Excellence
Discover the technical innovations that make LingBot-World the leading open-source world model, rivaling Google Genie 3 in every metric that matters
Stable Long-term Memory
The most critical capability for any world model. Without it, you'd experience "ghost walls" - turn around and the door disappears, turn back and the toilet becomes a little girl staring at you.
- ✓ 10+ minutes of stable generation without collapse
- ✓ Buildings stay consistent when you look away and back
- ✓ Proper occlusion relationships maintained
- ✓ Correct time and distance scaling
Extreme Style Generalization
Most world models only work with photorealistic content. LingBot-World maintains quality across diverse visual styles thanks to its unique multi-domain training approach.
- ✓ Photorealistic environments
- ✓ Anime and cartoon styles
- ✓ Game-quality visuals
- ✓ Fantasy and sci-fi worlds
Intelligent Action Agent
Beyond simple walking simulators. LingBot-World features an AI agent that can autonomously navigate and interact with the generated world, creating emergent gameplay experiences.
- ✓ WASD keyboard controls for manual navigation
- ✓ Continuous motion understanding (not frame-by-frame)
- ✓ VLM-powered autonomous agent
- ✓ Collision detection and avoidance
Emerging Capabilities
As our world model scales, we observe the emergence of sophisticated behaviors that go beyond simple video generation
Dynamic Off-Screen Memory
Beyond simple object permanence, the model maintains a persistent memory of agents that continue to act even when unobserved. This ensures that when the view returns, the world state has progressed naturally rather than freezing in place.
Exploring the Generation Boundary
Pushing the boundaries of temporal coherence, our model can now sustain stable, high-fidelity environments for ultra-long video generation without degrading.
Grounded Physical Constraints
The model enforces realistic collision dynamics, preventing agents from clipping through obstacles or ignoring solid barriers. This adherence to spatial logic ensures that movement remains physically plausible.
Transform AAA Game Development with AI World Models
Zero-code world generation, massive cost reduction, and infinite possibilities for game creators using LingBot-World's revolutionary AI technology
The gaming industry faces an unprecedented challenge: AAA game development costs have spiraled to hundreds of millions of dollars, with companies like Ubisoft, Sony, and Microsoft shutting down studios and canceling projects. LingBot-World offers a transformative solution by enabling game developers to generate fully interactive, physics-compliant game environments from simple inputs - no 3D modeling, no asset creation pipelines, no months of environment art production. This world model technology represents the future of game development, where AI handles environment generation while developers focus on gameplay innovation.
Rapid Prototyping
Build core gameplay demos without writing a single line of code. Test mechanics like Zelda's "Ultrahand" by describing the functionality - the world model handles physics, interactions, and visuals.
Automated QA Testing
Generate diverse virtual environments for large-scale automated testing. Detect physics collision bugs, logic errors, and edge cases across thousands of procedurally generated scenarios.
Intelligent NPC Training
Train AI agents in dynamically generated worlds. Create high-intelligence NPCs by having them learn navigation, interaction, and decision-making in realistic simulated environments.
Infinite Open Worlds
Create truly infinite, logically consistent open worlds. The environment generates as players explore - no pre-built assets needed. Change seasons, weather, or entire biomes with simple prompts.
Dynamic World Modification
Change any aspect of your generated world through simple text prompts
Transforming Game Development Economics
How world models are reshaping the future of interactive content creation
AAA games spend nearly half their budget on environment art, character models, and world assets.
World models can dramatically reduce environment creation costs while accelerating iteration cycles.
Generate over 10 minutes of explorable, physics-compliant world content from a single reference image.
Create truly infinite open worlds that generate as players explore - no pre-built assets required.
The gaming industry is at a crossroads. Rising development costs have forced studios to shut down projects, lay off teams, and delay releases. World models like LingBot-World offer a path forward - enabling smaller teams to create expansive, AAA-quality environments while focusing resources on gameplay innovation rather than asset production pipelines.
Download LingBot-World: Three Model Variants for Every Use Case
Choose the right LingBot-World version for your project - from camera-controlled exploration to real-time interactive generation
LingBot-World-Base
(Camera Poses)Control camera movement with precise pose trajectories. Perfect for cinematic shots, environment scanning, and controlled exploration.
- Camera pose control
- Orbit, pan, tilt movements
- Dolly and tracking shots
- Custom trajectory input
LingBot-World-Base
(Actions)Control subject behavior with structured action commands. Specify movements, gestures, and interactions at the behavioral level.
- Behavioral control
- Movement commands
- Gesture specification
- Turn, walk, run actions
LingBot-World-Fast
(Low Latency)Optimized for real-time interaction with sub-second latency. Stream generation as you play - the closest experience to a real-time world simulator.
- Sub-second response
- 16 FPS streaming
- Real-time interaction
- Live world simulation
Real-time Demo Gallery
Watch LingBot-World generate diverse, explorable worlds in real-time across multiple visual styles
World Modification Showcase
Select a scene and apply events to see how LingBot-World handles dynamic world modifications
Select Scene:
Event:
Action Agent
Autonomous agents that plan and execute actions within the generated world
3D Reconstruction
The model can reconstruct 3D geometry from generated world views
Scene 1
Scene 2
Scene 3
Technical Architecture: How LingBot-World Works
Explore the technical specifications, training methodology, and architectural innovations that power LingBot-World's state-of-the-art world model capabilities
Architecture
- Model Size: ~28 billion parameters
- Inference Size: ~14 billion parameters
- Input: Video frames + Camera poses/Actions + Text
- Output: Real-time generated video frames
Training Data
- Real Videos: Physical world appearance and behavior
- Game Recordings: How humans interact in virtual worlds
- UE Synthetic: Extreme camera paths and edge cases
- Domain Randomization: Like robotics sim-to-real transfer
Key Innovations
- Long-term Memory: Maintains world consistency over 10+ minutes
- Continuous Actions: Motion as intention, not single frames
- VLM Agent: Fine-tuned vision-language model for autonomous navigation
- Multi-domain Learning: Unified training across visual styles
Applications
- Gaming: Infinite procedural world generation
- Film/VFX: Pre-visualization and virtual production
- Embodied AI: Low-cost training simulation for robots
- Entertainment: Interactive storytelling experiences
Comparison with Competitors
| Feature | LingBot-World | Google Genie 3 | Odyssey |
|---|---|---|---|
| Open Source | ✓ Yes | ✗ No (Closed) | ✗ No |
| Public Access | ✓ Deploy Now | ✗ Research Only | ✓ Limited |
| Verified Demo Length | 10+ minutes | ~1 minute shown | <1 minute |
| Memory Consistency | Excellent | Excellent | Poor (Ghost walls) |
| Physics Simulation | Spacetime aware | Strong | Pixel-based only |
| Off-screen Inference | ✓ Objects persist | ✓ Yes | ✗ Objects vanish |
| Style Variety | Multiple styles | Good | Limited |
| Action Agent | ✓ VLM-based | ✗ Unknown | ✗ No |
| API Available | ✓ Open | ✗ No public API | ✗ Limited |
Key Advantage: While Genie 3 showcases similar technical capabilities, LingBot-World is the first SOTA-level world model that's fully open-source and deployable, allowing developers and researchers to build upon it immediately.
Limitations And Next Steps
While the model demonstrates significant potential, several technical constraints remain. The high inference cost currently necessitates enterprise-grade GPUs, making the technology inaccessible on consumer hardware. Additionally, because memory is emergent from the context window rather than an explicit storage module, the simulation lacks long-term stability; this often leads to environmental drifting where the scene gradually loses structural integrity over extended durations. Control capabilities are also restricted to basic navigation, lacking the fine-grained precision required for complex interactions or specific object manipulation. Finally, achieving real-time performance through causal distillation currently requires a trade-off that slightly degrades visual fidelity.
Looking ahead, our roadmap prioritizes expanding the action space and physics engine to support diverse, complex interactions. To ensure long-term stability, we aim to implement an explicit memory module rather than relying on emergent context. Furthermore, we are focused on eliminating generation drift, paving the way for robust, infinite-time gameplay and more robust simulations.
How to Install and Run LingBot-World: Quick Start Guide
Get LingBot-World running on your system in four simple steps - from cloning the repository to generating your first AI world
Clone the Repository
git clone https://github.com/Robbyant/lingbot-world.git
Download Model Weights
Download the Base (Cam) model weights from the official release page.
Install Dependencies
pip install -r requirements.txt
Run Inference
python inference.py --model base_cam --resolution 720p
The Future of Interactive AI Worlds
LingBot-World represents a paradigm shift from passive video generation to active world simulation. Join the community and help shape the future of AI-generated interactive experiences.