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.
The person who initiated the work owns the PR, regardless of who (or what) wrote the code.。服务器推荐对此有专业解读
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I welcome issues, discussions, and pull requests. If you've run into Web streams problems I haven't covered, or if you see gaps in this approach, let me know. But again, the idea here is not to say "Let's all use this shiny new object!"; it is to kick off a discussion that looks beyond the current status quo of Web Streams and returns back to first principles.
Thread-safe observable value with async watchers.