Summary:
- The article explores the application of traditional psychological testing methodologies, such as cognitive task analysis and behavioral observation, to evaluate the performance and "reasoning" processes of artificial intelligence models.
- It discusses the challenges of anthropomorphizing machine outputs and argues for a standardized, empirical framework to quantify machine cognition distinct from human cognitive patterns.