大语言模型（LLMs）的出现，一下子让马甲后那堵防火墙化为齑粉。
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在感知和环境运维上，大规模真实场景的数据采集、运维平台和RaaS模式，必须深度适配本土工业、城市和政策环境，这天然需要本地厂商主导。
The spec does not mandate buffer limits for tee(). And to be fair, the spec allows implementations to implement the actual internal mechanisms for tee()and other APIs in any way they see fit so long as the observable normative requirements of the specification are met. But if an implementation chooses to implement tee() in the specific way described by the streams specification, then tee() will come with a built-in memory management issue that is difficult to work around.