None of this is wrong. These guarantees matter in the browser where streams cross security boundaries, where cancellation semantics need to be airtight, where you do not control both ends of a pipe. But on the server, when you are piping React Server Components through three transforms at 1KB chunks, the cost adds up.
I have been thinking a lot lately about “diachronic AI” and “vintage LLMs” — language models designed to index a particular slice of historical sources rather than to hoover up all data available. I’ll have more to say about this in a future post, but one thing that came to mind while writing this one is the point made by AI safety researcher Owain Evans about how such models could be trained:
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Anthropic has consistently aimed to position itself as a more safety-orientated approach to AI research as compared to rivals.，推荐阅读同城约会获取更多信息
В России ответили на имитирующие высадку на Украине учения НАТО18:04
spend a lot of time in the allocator, and produce a bunch of garbage,