Ant-backed Team Open-Sources LingBot-World 2.0 Real-time World Model

An embodied AI team under Ant Group released and open-sourced LingBot-World 2.0 (Infinity), an interactive world model. The system aims to solve the common issue where AI world models quickly become blurry or distorted during movement, with the ultimate goal of creating "one brain for all robots."

Core Tech and Performance

LingBot-World 2.0 is an action-conditioned world model. By inputting a single frame, real-time camera poses, and text prompts, it autoregressively generates an explorable world. The team claims its long-term stability is a structural improvement rather than cherry-picking. In tests, it ran for 60 minutes across 20 different scenes without noticeable visual degradation, operating in real-time at 720p and 60fps. It also includes a Director Agent for advanced camera control, supporting fantasy scenes, racing cockpits, and cinematic visuals.

Interactive Experience and Architecture

The model turns AI-generated video into a "playable world." Users can walk using WASD keys, while the system pushes event options to hotkeys, allowing users to trigger attacks, archery, spellcasting, or summon storms and change weather. Architecturally, a VLM handles the next-step planning, a video generator handles rendering, and a pilot agent coordinates the process.

Open Source and Deployment

The release includes open-source model weights, inference code, and agentic-harness code on Hugging Face. The main model is 14B, but the paper also provides a 1.3B lightweight version that can run locally on a single consumer GPU. Additionally, the model is available to developers via the Reactor SDK and API for applications in gaming, creative tools, and simulations.

2026-07-09 ~ 2026-07-10 · 26 related posts

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