With garbage bags and a dolly in hand, on an unassuming afternoon in the early months of 2013, we were standing in the former hub of the world-renowned SAIL—the Stanford AI Lab. Over the course of decades, the field that had once boldly called itself “artificial intelligence” had fractured into a multitude of narrower disciplines, many of which downplayed their cognitive roots in favor of more mechanistic terms like “pattern recognition” and “natural language processing.”
