OPEN LINK ↗
// 1h agoMODEL RELEASE
Robbyant releases LingBot-Video-MoE foundation model
LingBot-Video-MoE is a 30B parameter Mixture-of-Experts video foundation model by Robbyant designed for robotics and embodied intelligence. The model combines large-scale internet video pretraining with 70,000 hours of specialized embodied dataset training, activating only 3 billion parameters during inference for compute efficiency.
// ANALYSIS
Mixture-of-Experts architectures are proving crucial for bringing high-capacity AI models to real-time physical systems. Activating only 10% of its parameters during inference allows LingBot-Video-MoE to deliver deep spatial understanding without the latency penalties that typically ground heavy foundation models.
- –**Low-Latency Inference:** By activating only 3B parameters out of 30B, it targets the tight real-time constraints required for physical robotics.
- –**Physical World Understanding:** The incorporation of 70,000 hours of embodied data fills the gap left by generic web videos, enabling a more robust modeling of physical dynamics.
- –**Ecosystem Integration:** Fits directly into the broader open-source LingBot suite of simulators and perception models.
// TAGS
lingbot-video-moeembodied-aimoeroboticsvideo-modelhugging-faceopen-source
DISCOVERED
1h ago
2026-07-08
PUBLISHED
2h ago
2026-07-08
RELEVANCE
8/ 10
AUTHOR
_akhaliq
