穷人一直在学习, 富人一直在行动. Only action will bring you results. Wonder will always be wonder.

Entertainment

物語の黒幕に転生して

I kinda love the “boy meets girl” story.

Life

• the un-lived weekends continues

Collectibles

sharing

Knowing virtues is like having a map; adopting them is actually taking the journey.

• https://bgr.com/science/frozen-human-brain-tissue-was-successfully-revived-for-the-first-time/
• https://m.okjike.com/originalPosts/6646307c4713de4d5e9d2172
  • 穷人一直在学习，富人一直在行动
• https://mp.weixin.qq.com/s/Nu16xFYIInSZN5hjW-avrw
  • 知识的缝隙
• https://m.okjike.com/originalPosts/664d845c9b2032272b8c4a6f
  • 为什么情绪性的东西大多数时候比干货的数据好
  • 相信每个人都有解决问题的能力 - 咨询要做的就是倾听和理解, 让来访者想明白, 说清楚自己内心的想法和感受, TA 自然就有能力解决自己的问题.
  • 大部分人的问题是情绪上的, 是动力不足, 是问题来临时, 自己所出现的焦虑和恐慌的情绪
  • “内容本质是解决人的焦虑, 好的喜剧会让你看到自己”
• https://t.me/inside1024/54989
  • 一件事情能长久持续的祕诀
    1. 极其不纯的动机。
    2. 低到不行的目标。
    3. 过度的高自我评价。
    4. 适度松懈的进度管理。
    5. 在努力过程中彻底享受。
  • 一件事情无法长久持续的秘诀
    1. 崇高的动机。
    2. 远大的目标。
    3. 冷静客观的自我评价。
    4. 严格的进度管理。
    5. 对结果的执着。
• https://t.me/inside1024/54999
  • 如果有人因为你设置了界限而觉得不爽，那只代表着一件事，就是他们是控制狂。而这是他们的问题，完全不是你的问题。
• https://www.nature.com/articles/s41591-024-02929-4
  • Association between pretreatment emotional distress and immune checkpoint inhibitor response in non-small-cell lung cancer
• https://www.esa.int/ESA_Multimedia/Images/2023/11/Euclid_s_view_of_the_Perseus_cluster_of_galaxies
  • Euclid’s view of the Perseus cluster of galaxies
• https://github.com/it-ebooks-0/geektime-books

learn

• https://gaultier.github.io/blog/you_inherited_a_legacy_cpp_codebase_now_what.html
  • how to deal with inherited legacy codebase
• https://news.ycombinator.com/item?id=39564632
  • how can I learn about performance optimization

  • 1. First and foremost: measure early, measure often. It’s been said so often and it still needs repeating. In fact, the more you know about performance the easier it can be to fall into the trap of not measuring enough. Measuring will show exactly where you need to focus your efforts. It will also tell you without question whether your work has actually lead to an improvement, and to what degree.

    2. The easiest way to make things go faster is to do less work. Use a more efficient algorithm, refactor code to eliminate unnecessary operations, move repeated work outside of loops. There are many flavours, but very often the biggest performance boosts are gained by simply solving the same problem through fewer instructions.

    3. Understand the performance characteristics of your system. Is your application CPU bound, GPU compute bound, memory bound? If you don’t know this you could make the code ten times as fast without gaining a single ms because the system is still stuck waiting for a memory transfer. On the flip side, if you know your system is busy waiting for memory, perhaps you can move computations to this spot to leverage this free work? This is particularly important in shader optimizations (latency hiding).

    4. Solve a different problem! You can very often optimize your program by redefining your problem. Perhaps you are using the optimal algorithm for the problem as defined. But what does the end user really need? Often there are very similar but much easier problems which are equivalent for all practical purposes. Sometimes because the complexity lies in special cases which can be avoided or because there’s a cheap approximation which gives sufficient accuracy. This happens especially often in graphics programming where the end goal is often to give an impression that you’ve calculated something.

• get things done
  • capture
  • clarify
  • organize
  • reflect
  • engage