Summary:
- The article examines the "human-in-the-loop" infrastructure required for AI development, specifically focusing on the data labeling industry.
- It highlights the disconnect between the high-level perception of AI innovation and the reality of the tedious, low-wage, and precarious digital labor that powers machine learning models.