蚂蚁Robant出了个面向具身AI的模型LingBot-VA 2.0，能预测未来状态并以225Hz实时控制，跟那些从视频生成器改的模型思路完全不一样。
蚂蚁集团旗下Robant发布LingBot-VA 2.0技术报告，这是为具身智能原生构建的视频动作基础模型，而非从视频生成器微调。模型通过Foresight Reasoning预测未来状态，并基于每个真实观测重新接底，实现225Hz异步控制。架构采用因果DiT、稀疏MoE视频流和语义视觉动作分词器。
Ant Group’s Robbyant Unveils LingBot-VA 2.0: A Causal Video-Action Model Built Natively for Physical AI
Ant Group's Robbyant has released the LingBot-VA 2.0 technical report — a Physical AI video-action foundation model built from scratch for embodiment rather than fine-tuned from a video generator. It predicts future states ahead of execution through Foresight Reasoning, re-grounds on every real observation, and reaches 225 Hz asynchronous control. We break down the causal DiT, the sparse-MoE video stream, the semantic visual-action tokenizer, and where the paper's own numbers don't line up. The post Ant Group’s Robbyant Unveils LingBot-VA 2.0: A Causal Video-Action Model Built Natively for Physical AI appeared first on MarkTechPost .