Zhiyuan Unveils Emu3.5: A Leap in Multimodal AI with Next-State Prediction

On October 30, the Beijing Zhiyuan Institute of Artificial Intelligence introduced Emu3.5, a groundbreaking multimodal world model that integrates next-state prediction (NSP) into its architecture. This advancement represents a significant step toward AI systems capable of not just perceiving but actively operating within complex environments.

NSP Architecture: Predicting Future States

The core innovation of Emu3.5 lies in its unified NSP framework, which treats multimodal inputs—text, images, and action instructions—as continuous state sequences. By predicting the "next state," the model achieves end-to-end intelligent reasoning. For example, when instructed to "move the coffee cup in this photo to the right side of the table and brighten the overall tone," Emu3.5 can execute these tasks while maintaining visual and physical consistency.

Embodied Intelligence in Action

Emu3.5 demonstrates remarkable cross-modal generalization and operational capabilities:

• Text-image collaborative generation: Produces high-detail images from complex descriptions (e.g., "a cyberpunk-style rainy street with neon reflections").
• Intelligent image editing: Performs semantic-level modifications (e.g., "change the character's clothing to a vintage suit") without manual intervention.
• Spacetime dynamic reasoning: Edits video frames coherently, such as making a running character stop and turn around.

These features position Emu3.5 as a promising tool for applications like robot control, virtual assistants, and intelligent design.

Breaking Multimodal Silos

Unlike earlier models that merely aligned features across modalities, Emu3.5 unifies text, vision, and actions into predictable state streams. This allows for seamless cross-modal switching and collaborative reasoning, enabling researchers to process heterogeneous data efficiently and users to accomplish creative tasks through natural language.

Applications and Open-Source Commitment

Zhiyuan plans to deploy Emu3.5 in sectors such as:

• Education: Intelligent courseware generation.
• Healthcare: Multimodal medical record analysis.
• Entertainment: AI-driven content creation.

The institute also commits to open-sourcing parts of the model to foster ecosystem growth.

Key Points

• Next-State Prediction (NSP): Enables AI to predict and plan actions in dynamic environments.
• Cross-Modal Operations: Supports text-to-image generation, semantic editing, and video reasoning.
• Real-World Applications: Potential uses in robotics, healthcare, and creative industries.
• Open-Source Initiative: Promotes collaboration and innovation in multimodal AI.