惘客

10+ 年 C++ 后端｜灾备系统
专注底层架构与高性能优化
探索 AI 在系统中的落地实践
Building reliable systems with AI

[惘客 @gycherish]

@TracketPacer 互联网本身就是个巨大的局域网。如果你不介意你的私有局域网因各种原因无法访问外部互联网，那么你可以使用任何你想用的 IP。

[惘客 @gycherish]

现阶段，解决实际业务场景中复杂问题的能力比具体的技术细节更重要。

[lauren @poteto]

i feel like swe interviews could probably collapse into just 2 technical rounds:

• system design (how well can you articulate your ideas, do you actually know how to engineer something)
• onsite project to build a real thing with agents (can you translate your intent into high quality outcomes)

everything else we used to ask is no longer necessary

[惘客 @gycherish]

@Marcela252016 0 就像一个黑���，那一千个人都被吸进去了🌚

[惘客 @gycherish]

遗憾的是，在中国，工作似乎很难让人开心。大部分人都是为了生计而选择在工作中隐忍: 忍受���低的薪资、超长的工作时间、领导的压榨、同事的排挤和勾心斗角、杂乱无章的工作安排...

[lauren @poteto]

having fun at work (and a lot of tokens) will fix you

i was super burnt out at my last job before i joined cursor and spacexai. i even thought that i was no longer cut out to be an engineer! but im happy to say that i'm no longer burnt out and in fact thriving thanks to how much fun im having

[惘客 @gycherish]

@poteto @bot Hey, I had Grok help me "make" a billion dollars

[惘客 @gycherish]

与其说 C++ ���持几乎所有架构，不如说 C++ 支持几乎所有 OS，毕竟离开了宿主系统的特性，C++ 连内存都没发分配，RTTI/异常等特性也无法使用，STL 也无法使用。

因此，想要用 C++ 写内核必须只能使用少的可怜的 free-standarding 特性，这基本上让 C++ 沦为 C with Class。

当然，现代 C++ 很多特性依然让 C++ 写内核代码很有优势，比如 constexpr/constinit，只不过 C++ 的复杂性让犯错成本很低。

[灰狐 @huihoo]

为何 C++ 没能进入 Linux Kernel

C++ 几乎支持所有架构，拥有经过数十年优化的编译器
GCC, LLVM, EDG 三大开源编译器基础设核心语言都是 C++和C
C++ 可直接调用 C 代码，以后也可逐步引入 C++ OOP 的封装

虽然 C++ 没有像 Rust 那样强制划分 safe/unsafe 边界
但现代 C++ 鼓励通过规范和工具来模拟这种安全边界
C++ 可以直接通过常规语法完成
C++29 也正式引入其安全路线图的安��配置文件（Safety Profiles）
��前模仿Rust的Safe C++，也引入关键字 safe 和 unsafe 的提案被拒绝
https://t.co/NP0b2zYh4x
Bjarne Stroustrup 在 CppCon 2026 上也做了主题演讲
https://t.co/AVP1PKPinH

引入 C++ 到 Linux Kernel 的好处也是明显的
而且不少 Linux 核心开发者也主张将 C++ 引入内核
但最终都没成，究其根本原因，我想🤔

最大可能是 Linus Torvalds 之前曾多次公开批评 C++
并称 C++ 是一门很垃圾的语言（crap language）
若之后接受 C++ 进入 Linux Kernel，这不是打自己脸吗
所以任何时候都不能把话说满了，事物都是在发展演进中的

[惘客 @gycherish]

@chemhack 所以，在编译器已经足够聪明的情况下，我们更应该注重可读性，而不是在这些无关紧要的地方炫技！

[惘客 @gycherish]

@huihoo 翻译成中文会不会精简很多🤔

[惘客 @gycherish]

@jianyi99 客户端: openwrt+sing-box+momo
服务端: ubuntu(美区 vps)+sing-box

[惘客 @gycherish]

@jianyi99 我家的路由器就是这样的，现在只要连上家里的网络就可以无感连接世界😊

[惘客 @gycherish]

@ericoding99 PLUS 估计不够用🤣

[惘客 @gycherish]

本来我英语就不好，平台的翻译看着也别扭，整这么一大段快给我绕进去了。看了评论区才发现，原来是“减量不减价”。

那么，除了很强的生图能力，ChatGPT 还有没有其他不可替代的优势？

[Tibo @thsottiaux]

Hi,

Tomorrow we are re-opening the Pro $200 subscriptions to new subscribers, but together with it we are also changing how we calculate the usage for it. In effect, if you do the math, it will net out at half the dollar in API spend compared to the old Pro $200 plan.

Now that it's said, let me explain why this is happening and why you will still get more work done than if you were on the Pro $200 subscription one month ago.

(a) We didn't want to compromise in other ways and are committing to not reintroducing the 5h limit, so that you can fully use the weekly usage when you want.
(b) On the subscription, we guarantee that over time you always get more work done and with an increasing level of quality. This means that you will continue to get more value per dollar spent as a result of models getting more efficient and us passing down the improvements in the form of API price reductions.
(c) We don't want to put an incentive on ourselves to artificially inflate the API list prices to make it look like you are getting a lot (and workaround it through discounts, etc). Instead we want to continue to both rapidly reduce prices and increase capabilities of models on the API. This week we introduced GPT-6 Sol and GPT-6 Luna at 50% of their previous price. Over time, we see prices go low enough that it makes sense for most to buy usage as needed without there being a significant gap between what you get in a subscription and what you get in the API for a dollar spent.
(d) Tomorrow, we are adding more things to the subscription that won't draw on the usage, I won't reveal what that is yet.

I wanted to be transparent before all the big announcements tomorrow. Lots of new exciting things are coming to the subscriptions that will make it super compelling, but I wanted to make sure to share this change ahead of time so you can all understand it before we shower you with good news.

Codexingly,
Tibo

[惘客 @gycherish]

@thsottiaux Besides great image generation, does ChatGPT have any other irreplaceable advantages?

[惘客 @gycherish]

@NewAgeRetroNerd Windows might not be as good as Linux in many ways, but Windows NT is definitely the most advanced operating system kernel out there

[惘客 @gycherish]

@lvjin1993 这只能说明他俩在同一起跑线且都没啥背景。

真正的输在起跑线，不仅仅是别人的起跑线比你更接近终点，而且人家走的是康庄大道，不是像视频这种磕磕绊绊的路。

[惘客 @gycherish]

@yimyangbuilds 为什么发跟别人一模一样内容的帖子

[惘客 @gycherish]

@NovaXCode This comparison isn't fair - some are statically linked while others are dynamically linked

[惘客 @gycherish]

这才是真的 C++ 大佬👍

[Dmitrii Kovanikov @ChShersh]

Day in the life of a Senior C++ Engineer.

4am: Wake up

4-4:30am: Doomscroll X and charge myself with anxiety to power through the rest of the day

4:30-5am: Exercising

5-5:10am: Meditation

5:10-5:30am: Shower

5:30-6am: Using AI to improve my life

6-6:30am: Playing the guitar (just don't ask my neighbours what they think about me playing guitar at 6 am)

6:30-7:30am: Commute to work. I watch C++ lectures while on the train.

7:30-8am: Breakfast at work

8am-1pm: Work

1-1:30pm: Lunch

1:30-6:30pm: Work

6:30-7:30pm: Commute home. If I still have energy, watch more lectures. Otherwise, some brainrot on YouTube.

7:30-8pm: Home chores and errands

8-8:30pm: Shower

8:30-9pm: Read a book

9pm-4am: Sleep

[惘客 @gycherish]

@itsdonebroooo The Real Worker in the AI Race