The sample efficiency black hole

The article introduces the concept of a "sample efficiency black hole" to describe how modern AI systems achieve broad capabilities by consuming massive amounts of training data, with the data itself acting as a dense, invisible core that powers their performance while raising questions about scalability and efficiency.