Introducing General World Models

Today, we are honored to announce the launch of SkyRun's General World Model, a breakthrough AI system capable of understanding and generating multimodal content, providing unprecedented possibilities for creative work. The General World Model represents a significant advancement in our artificial intelligence research and will fundamentally change how the creative industry works.

What is a General World Model

A General World Model is an AI system capable of understanding and simulating the complexity of the real world. Unlike traditional specialized AI models, the General World Model can understand and generate content across multiple modalities (text, images, video, audio, etc.) and capture the complex relationships between these modalities.

Our General World Model is built on large-scale multimodal pre-training, learning rich world knowledge and inter-modal associations by analyzing massive amounts of text, image, video, and audio data. This enables the model to understand abstract concepts, reason about causal relationships, and generate coherent, innovative multimodal content.

Core Technical Innovations

Multimodal Representation Learning

We have developed a new multimodal representation learning method capable of mapping information from different modalities to a unified semantic space. This enables the model to understand inter-modal associations, such as connecting text descriptions with corresponding visual scenes, or understanding the relationship between audio content and video images.

Spatiotemporal Dynamics Modeling

The General World Model has powerful spatiotemporal dynamics modeling capabilities, able to understand and predict how objects change over time and space. This is crucial for generating coherent video content, simulating physical interactions, or creating dynamic scenes.

Context-Aware Generation

Our model can generate content based on context, ensuring that the generated content is semantically coherent and aligns with user intent. For example, when generating video, the model considers scene continuity, character consistency, and logical story development.

Controllable Generation and Editing

The General World Model supports highly controllable content generation and editing. Users can guide the model to generate works with specific styles, content, or structures through natural language instructions, reference images, or other forms of input. Additionally, users can perform fine-grained editing on the generated content, such as modifying specific object attributes or adjusting scene atmosphere.

Application Scenarios

Text to Video Conversion

The General World Model can convert text descriptions into high-quality video content. Users only need to provide detailed text descriptions, and the model can generate video scenes that match the descriptions, including character actions, scene changes, and visual effects. This is valuable for storyboard creation, concept validation, and rapid prototype design.

Audio Style Reshaping

The model can analyze the style characteristics of audio content and apply these characteristics to other audio. For example, applying the style characteristics of classical music to modern pop songs, or applying one singer's voice characteristics to another singer's performance.

Rapid 3D Model Generation

The General World Model has the ability to generate 3D models from 2D images or text descriptions. This enables designers and artists to quickly transform ideas into 3D assets, greatly accelerating workflows for game development, virtual reality, and product design.

Interactive Content Creation

The General World Model supports interactive content creation, allowing users to continuously optimize generation results through iterative feedback. For example, users can first generate an initial scene, then adjust details through natural language instructions or direct editing, and the model will update the content in real-time based on user feedback.

Technical Specifications

SkyRun's General World Model is based on ultra-large-scale multimodal pre-training with the following technical specifications:

• Model parameters: 1.2 trillion parameters
• Training data: 10PB multimodal data, including text, images, video, and audio
• Supported modalities: text, images, video, audio, 3D
• Maximum video generation length: 5 minutes
• Video resolution: up to 4K
• 3D model complexity: up to 1 million polygons
• Inference speed: real-time generation of 720p video

Future Development

The launch of the General World Model is just the beginning of our exploration of AI creative potential. In the future, we plan to further enhance the model's capabilities, including:

• Enhancing physical simulation capabilities to make generated content more aligned with real-world physical laws
• Improving long sequence modeling capabilities to support longer, more complex video generation
• Integrating the multi-agent collaboration framework to enable the General World Model to work with specialized agents
• Combining with the blockchain value layer to provide copyright protection and value authentication for content created using the General World Model

We believe that the General World Model will become an important tool for the creative industry, helping creators break traditional limitations and achieve unprecedented creative expression. SkyRun will continue to conduct cutting-edge research in this field, bringing more possibilities to the creative industry.

If you're interested in SkyRun's General World Model, please visit ourdeveloper documentationto learn more technical details, orapply for early accessto experience this innovative technology.