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

Researchers are facing a significant challenge in collecting training data for physical AI, a task that is time-consuming and labor-intensive. To address this issue, some AI labs are outsourcing data collection to companies like XDOF, which specialize in gathering and labeling data for robot training. The need for high-quality training data is crucial for physical AI to reach the same level of advancement as large language models. By outsourcing data collection, AI labs can focus on developing more sophisticated physical AI systems.

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