import { Stream } from 'new-streams';
The V3 approach obliterates this race condition by hooking addSourceBuffer at the MediaSource.prototype level, I intercept the creation of every SourceBuffer. The moment a buffer is created and returned, I immediately install a hooked appendBuffer directly on that specific instance; before any page code can even see the instance, let alone cache a reference to its methods. The hooked appendBuffer is installed as an own property of the instance, which takes precedence over the prototype chain. There is no window for fermaw to cache the original. The hook is always first.
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For reinforcement learning training pipelines where AI-generated code is evaluated in sandboxes across potentially untrusted workers, the threat model is both the code and the worker. You need isolation in both directions, which pushes toward microVMs or gVisor with defense-in-depth layering.
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