A Chinese embodied model reached global No.1 as a 100,000-hour human dataset for robots was released

中国具身模型狂揽全球第一！机器人的人类数据时代来了

Psibot says it released a 100,889-hour human-plus-robot manipulation dataset, and that Psi-R2 ranked first on AllenAI’s MolmoSpace benchmark. The post lists 95,472 hours of human data, 5,417 hours of robot data, 1,000 open-sourced hours, 294 scenes, 4,821 tasks, and 1,382 objects; Psi-W0 adds 30% failure samples, and Psi-R2 latency drops from 2.2s to under 100ms. The key point is the data loop and benchmark framing: the post claims nearly 10x higher success, but does not disclose task setup, full baselines, or statistics.

Why it matters: HKR-H/K/R all pass: the data scale, failure-sample mix, and latency cut are concrete and discussable. I keep it at 80 because the No.1 ranking and near-10x success claim lack task setup, full baselines, and statistical detail in the body.