LingBot-World is the interactive simulator. LingBot-Map is streaming 3D reconstruction. LingBot-VA is a causal video-action world model for robot control. LingBot-VLA is a vision-language-action policy family.
Opening only one repo will make Ant look narrower than the public evidence. Opening all four as the same product will overclaim. The company page exists to keep those lanes labeled.
Open weights are not the same as a consumer world app.
GitHub, arXiv, Hugging Face, and ModelScope are the inspectable surfaces. Runtime cost is real: serious GPUs are the default assumption for local use.
Mobile or app-mediated experiences, including Lingguang coverage, should stay separate from the claim that a reader can run the open model on a phone.
How to verify
Match the question to the repo before citing Ant as one system.
Ask whether the job is simulation, mapping, action-conditioned prediction, or instruction-following manipulation. Then open the matching LingBot dossier and its paper or model card.
If the reader wanted a no-code world creator, send them to Marble or HappyOyster instead of stretching Robbyant into that lane.
LingBot-Map was introduced on April 15 as a streaming 3D reconstruction system. The May 25 repository update added public evaluation material for KITTI and Oxford Spires, giving readers a more concrete path to inspect the reported reconstruction results.
The repository, paper, and model card describe spatial reconstruction. Those results should not be treated as proof of a general interactive world creator or a consumer world-generation product.
Release history
April 27, 2026: reported Lingguang mobile integration
IT Home and QbitAI reported a Lingguang mobile world-model experience associated with LingBot-World-Fast in April. The original coverage had primary sources for the LingBot model family, but did not have an official Ant product announcement confirming the mobile integration.
Keep this as a dated, reported integration rather than a verified general release. The linked repository and model card support the underlying model family; they do not independently confirm the mobile feature or its current availability.
Keep reading
Guides, comparisons, and release signals for this company
open-source world model stacksUse Tencent Hunyuan, Robbyant, Oasis, and NVIDIA Cosmos when the job is code, weights, papers, or evaluation, not a consumer editor.
physical AI world models guideRead NVIDIA Cosmos, Robbyant LingBot, and Tencent HY-Embodied as physical-AI lanes. They are not creator worlds, and they are not interchangeable robot products.