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NamespaceWhat it isolatesWhat the process seesPIDProcess IDsOwn process tree, starts at PID 1MountFilesystem mount pointsOwn mount table, can have different rootNetworkNetwork interfaces, routingOwn interfaces, IP addresses, portsUserUID/GID mappingCan be root inside, nobody outsideUTSHostnameOwn hostnameIPCSysV IPC, POSIX message queuesOwn shared memory, semaphoresCgroupCgroup root directoryOwn cgroup hierarchyTimeSystem clocks (monotonic, boot)Own system uptime and clock offsetsNamespaces are what Docker containers use. When you run a container, it gets its own PID namespace (cannot see host processes), its own mount namespace (own filesystem view), its own network namespace (own interfaces), and so on.

之前很多 Nano Banana Pro 的玩法,现在也能花更少的钱,得到更稳定的输出。

Get the 65,这一点在快连下载安装中也有详细论述

Last May, I wrote a blog post titled As an Experienced LLM User, I Actually Don’t Use Generative LLMs Often as a contrasting response to the hype around the rising popularity of agentic coding. In that post, I noted that while LLMs are most definitely not useless and they can answer simple coding questions faster than it would take for me to write it myself with sufficient accuracy, agents are a tougher sell: they are unpredictable, expensive, and the hype around it was wildly disproportionate given the results I had seen in personal usage. However, I concluded that I was open to agents if LLMs improved enough such that all my concerns were addressed and agents were more dependable.,更多细节参见搜狗输入法下载

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Nvidia

Google 图书是个索引工具,而生成式 AI 直接消化书籍内容,然后输出文字,在某些情况下与作者产生直接竞争。性质变了,但援引的法律逻辑还是同一套,这本身就值得思考。