Last week, the financial technology company Block announced that it would lay off 4,000 of its 10,000 workers. Dorsey, Block’s CEO, said in a letter to shareholders that advances in AI “have changed what it means to build and run a company”.
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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.，这一点在PDF资料中也有详细论述
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