Anthropic was supposed to be the crown jewel of the Pentagon’s AI push. Its Claude model is one of the few large language systems cleared for certain classified environments and is already deeply embedded in defense workflows through contractors like Palantir. Pulling it out could take months, according to a report by Defense One, making the startup not just a vendor but a critical node in the military’s emerging AI infrastructure.
It is also necessary to emphasize that many optimizations are only possible in parts of the spec that are unobservable to user code. The alternative, like Bun "Direct Streams", is to intentionally diverge from the spec-defined observable behaviors. This means optimizations often feel "incomplete". They work in some scenarios but not in others, in some runtimes but not others, etc. Every such case adds to the overall unsustainable complexity of the Web streams approach which is why most runtime implementers rarely put significant effort into further improvements to their streams implementations once the conformance tests are passing.
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This pattern has caused connection pool exhaustion in Node.js applications using undici (the fetch() implementation built into Node.js), and similar issues have appeared in other runtimes. The stream holds a reference to the underlying connection, and without explicit consumption or cancellation, the connection may linger until garbage collection — which may not happen soon enough under load.