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hundreds or thousands of remote modules, inits can become quite slow.

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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API 调用的爆发和 B 端定制服务的增长,让 AI 企业的营收模式从单一的“融资烧钱补贴”转向了“多元变现”。这是催生资本市场对 AI 重新估值的基本盘。

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