"Cloning streams in Node.js's fetch() implementation is harder than it looks. When you clone a request or response body, you're calling tee() - which splits a single stream into two branches that both need to be consumed. If one consumer reads faster than the other, data buffers unbounded in memory waiting for the slow branch. If you don't properly consume both branches, the underlying connection leaks. The coordination required between two readers sharing one source makes it easy to accidentally break the original request or exhaust connection pools. It's a simple API call with complex underlying mechanics that are difficult to get right." - Matteo Collina, Ph.D. - Platformatic Co-Founder & CTO, Node.js Technical Steering Committee Chair
'required': ['color'],
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Ледники на юге Исландии
从目前芯片厂商的产能分配来看，资源向AI 相关业务倾斜已成必然。三星、SK 海力士、美光等三大存储芯片巨头，2025 年用于数据中心级存储芯片的产能占比已提升至 40% 以上，较 2023 年增长了 15-20 个百分点。在台积电、三星晶圆代工业务中，为 AI 芯片（如 GPU、ASIC）预留的产能也在持续增加，这挤压了消费级芯片的生产空间。
。业内人士推荐服务器推荐作为进阶阅读
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Personalization in AI search is emerging as models learn to consider individual user preferences, history, and context when formulating responses. This creates both opportunities and challenges for content visibility. The opportunity is that AI might recommend your content more prominently to users whose preferences align with your perspective or style. The challenge is that you might become invisible to users whose personalization profile doesn't match, even if your content is objectively relevant to their query.