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The platform must be both a programming language and a theorem prover, with code and proofs in one system, with no translation gap. It needs a rich and extensible tactic framework that gives AI structured, incremental feedback: here is the current goal, here are the hypotheses available, here is what changed after each step. AI must control the proof search, not delegate to a black box.

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「過去人們認為,如果你告訴AI它是一位數學教授,例如,它在回答數學問題時實際上會更準確。」桑德·舒爾霍夫(Sander Schulhoff)說。他是一位企業家和研究員,也是「提示工程」理念的推廣者。但舒爾霍夫和其他人表示,當你尋找資訊或提出只有一個正確答案的問題時,角色扮演反而會降低AI模型的準確性。

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