Summary
A researcher is actively investigating the practical, day-to-day processes AI teams use to source and license various types of training data, including text, audio, video, and synthetic data. They are conducting short interviews to gather real-world insights and are open to sharing their findings in return for participation or introductions. This initiative aims to understand the messy realities of data acquisition in AI development.
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