中国物理AI大突破：PhysBrain 1.5登顶全球开源榜一，空间智能与GPT-6 Astra并驾齐驱
Ranking
No observed public metrics; popularity remains neutral/archived.
Merged summary
TL;DR - DeepCybo released PhysBrain 1.5, an open-weight physical-AI foundation model that unifies embodied understanding, action generation, and future-state prediction. Its 8B version averaged 72.5 across 28 public benchmarks, ranking first among the evaluated open models and approaching the reported scores of leading closed models.
- PhysBrain 1.5-8B placed first on 14 benchmarks and second on 10; the smaller 2B model scored 66.6 but was excluded from the official ranking.
- The unified autoregressive framework outputs language, spatial coordinates, action trajectories, and predicted RGB, depth, and robot-mask observations.
- Training uses Ego360 panoramic human-interaction videos and a Human-as-Humanoid pipeline that converts human wrist motion into robot-executable actions.
- DeepCybo released the 2B and 8B weights, technical report, demos, and evaluation toolkit for community testing and deployment.
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中国物理AI大突破：PhysBrain 1.5登顶全球开源榜一，空间智能与GPT-6 Astra并驾齐驱
TL;DR - DeepCybo released PhysBrain 1.5, an open-weight physical-AI foundation model that unifies embodied understanding, action generation, and future-state prediction. Its 8B version averaged 72.5 across 28 public benchmarks, ranking first among the evaluated open models and approaching the reported scores of leading closed models.
- PhysBrain 1.5-8B placed first on 14 benchmarks and second on 10; the smaller 2B model scored 66.6 but was excluded from the official ranking.
- The unified autoregressive framework outputs language, spatial coordinates, action trajectories, and predicted RGB, depth, and robot-mask observations.
- Training uses Ego360 panoramic human-interaction videos and a Human-as-Humanoid pipeline that converts human wrist motion into robot-executable actions.
- DeepCybo released the 2B and 8B weights, technical report, demos, and evaluation toolkit for community testing and deployment.