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

The article discusses the challenges of collecting training data for physical AI systems, emphasizing the need for high-quality datasets to match the advancements seen in large language models (LLMs). It highlights that some AI laboratories are outsourcing this data collection to XDOF, indicating a shift towards leveraging specialized services for improving the training process in robotics. This underscores the importance of data quality and management in enhancing the performance of AI systems in real-world applications.