# Bad Influence story: Being-H0.5 labels 16,000 hours of human video to train robot models

Active · 1 article · 1 source · First reported 11-10 09:27. Times are ET.
Story page: https://badinfluence.news/story/62001dda-d59c-4d66-befd-fe6f0fc1e84d

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Latest update (11-10 09:27): Being-H0.5 uses 16,000 hours of human video to scale robot learning

Overview: Being-H0.5 researchers present a method that filters egocentric human video and labels it at two timescales for cross-embodiment robot learning. The labels cover 1-second fine-grained motions and 10-second intent summaries, drawn from more than 16,000 hours of footage with Gemini video understanding. The work is presented as an oral (O1) and a poster (S1 #67), according to a post by Paige Bailey (@DynamicWebPaige).

Coverage timeline (newest first):
1. 11-10 09:27 · Paige Bailey · [Being-H0.5 uses 16,000 hours of human video to scale robot learning](https://badinfluence.news/items/ad5p46bzuta184ocle53t1vjm)
[Bad Influence external source material ends]

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