Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?
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We argue that newly-developed large language models (LLMs), because of how they are trained and designed, are implicit computational models of humansa Homo silicus. LLMs can be used like economists use Homo economicus: they can be given endowments, information, preferences, and so on, and then their
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美国国家经济研究局创建时间：
2023-04-01
