Phil Chen: AI Era Shifts from Problem-Solving to Problem Selection, Released July 9

According to BlockBeats, on July 9, Phil Chen, former OpenAI researcher and Google DeepMind engineer, released an article arguing that as AI models become better at handling well-defined, quantifiable tasks, the most valuable capability in the coming decade will shift from solving problems to identifying truly important problems and allocating resources accordingly. He stated that AI is rapidly taking over work with "definable loss functions," meaning the real value in the future will lie in tasks that cannot be standardized during model training and require human judgment, creativity, and long-term decision-making.
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