Are We Testing AI’s Intelligence the Wrong Way?

Melanie Mitchell argues that current benchmarks for testing AI intelligence are inadequate. She suggests that the focus on narrow tasks may not accurately measure AI's true capabilities. Mitchell believes that AI should be tested on a broader range of tasks that require more generalized intelligence. This shift in testing methods could lead to a better understanding of AI's overall intelligence and capabilities.