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做高性能开发时，低延迟优化往往像“玄学”，很多技巧只存在于大佬的口耳相传中，想系统学习非常困难。 最近在 GitHub 发现 Awesome Low Latency 这个项目，试图将这些零散的“开发者传说”整理成可复用的知识体系。 系统总结了测量延迟、避免数据移动、减少上下文切换、避免等待，以及无锁编程等核心设计模式。 GitHub：https://t.co/PnQXHNoRz5 甚至深入到了内核旁路网络（DPDK/XDP）和硬件加速等高阶话题，同时也收录了大量经典论文、博客和系统性能书籍。 如果你正在做性能优化工作，或者想深入了解低延迟系统的设计原则，这份合集值得收藏参考。
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2/2 In college I used a Xerox Star to prepare lab reports for chemistry when everyone else used a typewriter and organic stencils to draw compounds. My Prof was super impressed…to a point. "Incredible lab report…looks camera ready for a journal…content is crap. See me."
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When laser printers arrived there was a brief moment when using one made your work "extra". You literally got better results—papers, resumes. Then everyone used one and all work was just better. Laser was no longer a competitive advantage. A lesson about tech diffusion. 1/2
2/2 In college I used a Xerox Star to prepare lab reports for chemistry when everyone else used a typewriter and organic stencils to draw compounds. My Prof was super impressed…to a point. "Incredible lab report…looks camera ready for a journal…content is crap. See me."
看一下Figma新增的这个图像编辑能力有多牛逼 它抠出来的文字是带透明通道的，这个太顶了！ 就是那个文字你想放哪就放哪，因为它带透明通道。 然后抠人像、抠一些细小的细节都没问题，消除某个元素也没问题。
关注人工智能、LLM 、 AI 图像视频和设计（Interested in AI, LLM, Stable Diffusion, and design） AIGC 周刊主理人｜公众号：歸藏的AI工具箱
