LingBot-Video: Significance and Benchmark Scores
dr_cintas · x · 2026-07-09
The author highlights the ongoing convergence of video generation and robotics, noting that models capable of predicting physically accurate videos essentially function as world models for robotic planning. Furthermore, its MoE architecture keeps costs low enough for in-the-loop system execution.
In the RBench evaluation, LingBot-Video scored 0.620, outperforming models like Wan2.6 (0.607), Seedance 1.5 Pro (0.584), and Cosmos3 Super (0.581).
Related event: Ant Group Open-Sources LingBot-Video for Embodied AI(26 posts)→
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