Collecting robot training data is dirty, unglamorous work. Some AI labs are already paying XDOF to do it.

AI labs developing robotic systems face a data bottleneck, as gathering training data for physical agents is considered dirty and unglamorous work. Some labs have begun outsourcing this effort to XDOF, aiming to address the data gap that hinders robotics from matching the progress seen in large language models.

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