RoboJEPA: scaling laws for robotic world models, second post
A social media post describes RoboJEPA, an 8B-parameter JEPA world model trained on 15,022 hours of robotic video, and reports scaling-law adjustments that predict results for its 4B and 8B variants.
According to a social media post, RoboJEPA is an 8B-parameter JEPA world model, developed by researchers at FAIR at Meta and Mila, trained on 15,022 hours of robotic video to plan toward goal images. The author reports scaling-law adjustments that predict results for the 4B and 8B variants. According to the post, there is a predictable relationship between compute and capacity in these robotic world models, which makes the topic useful for planning-related scaling studies.
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