但在传统的“业技分离”模式下，IT 接收需求时却是“解耦”的：做 ERP 的只管库存，做 MES 的只盯生产。这种人为的切割，直接导致了系统的瘫痪。一个不懂业务全景互动的 IT，即便代码写得再完美，也只是在制造一个个功能孤岛。当 IT 试图用解耦的方式去承接一个“绝对不可解耦”的业务需求时，系统底层就会滋生致命的“逻辑血栓”。
The London gallery said it would join its collection of "portraits of the people who have shaped the history and culture of the UK".
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Consider an example. An AI rewrites a TLS library. The code passes every test. But the specification requires constant-time execution: no branch may depend on secret key material, no memory access pattern may leak information. The AI’s implementation contains a subtle conditional that varies with key bits, a timing side-channel invisible to testing, invisible to code review. A formal proof of constant-time behavior catches it instantly. Without the proof, that vulnerability ships to production. Proving such low-level properties requires verification at the right level of abstraction, which is why the platform must support specialized sublanguages for reasoning about timing, memory layout, and other hardware-level concerns.
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