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2025年诺贝尔经济学奖得主阿吉翁：人工智能或催生新经济增长点与就业岗位
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Many comparative word relationships remain consistent across embedding systems. Even when models disagree on specific values, they typically concur on general semantic ordering (e.g., “medical” should generally be closer to “biology” than “philosophy” regardless of model). Daniel’s notebook demonstrated this by scoring every word in a secondary model’s vocabulary by constraint satisfaction, showing the target word appearing in the top 20 out of 155,000 candidates.