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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未来，交易趋势或从肿瘤进一步向自免、心血管等其他治疗领域延伸。这些是近两年国内企业加速发力的领域，但仍需要积累一定时间才能推进临床，开展全球交易。互补性强、临床价值高的管线有望在更早阶段达到合作。
“It really is a lot, but if you really balance it, it can go really smoothly,” Cooper said to KTLA.