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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Higher-level modules are the ones that operate on a higher conceptual level (i.e. algorithms, domain logic, business rules, etc). In other words, they’re more abstract and they govern “what” the application is supposed to do. On the other hand, modules that contain more implementation-specific code (e.g. hardware, I/O, network, etc) are said to be lower-level.