Summary:
- This article discusses the importance of data in the field of artificial intelligence (AI) and how data has become the "rarest commodity" in the industry.
- It explains that as AI models become more advanced, they require larger and more diverse datasets to train on, which can be challenging to obtain.
- The article suggests that industrializing the data collection and curation process is crucial for the continued growth and development of AI technology.