Expert developer, Buddhist

  • 0 Posts
  • 52 Comments
Joined 1 year ago
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Cake day: June 21st, 2023

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  • Are you high?

    Why am I writing this post? Not because I hope for something or believe in change. These are just words. I could write this at the end, but then you would be looking for answers for me while reading, and I don’t need them. They won’t change anything.
    So here it is. I don’t claim to be a software development guru or a C language expert. I’m just a simple developer.

    What? People stopped using C because it takes forever to write. You’re still stuck adding null terminators to string arrays and stressing about memory leaks and overflows. Even the Linux kernel / Linux Torvalds are moving towards Rust. That’s evolution, and sometimes evolution is messy

    Then the rest of your thing seems to be about how people shouldn’t make money from coding? That’s one of the most valuable skills of the information age, and you can become a millionaire in a decade doing it

    Just contribute to open source if you want to do some “good deeds”



  • I think I need more info. It seems like userspace is very hackable, so thus kernel level anti-cheat was born to control stuff like synthetic inputs and manipulation of memory / frame analysis. This anti-cheat would be held together by the fact that the kernel/drivers are proprietary and not very easy to edit. Obviously still possible because it’s on your own computer, but challenging and invasive. Do I have that right?

    In which case I don’t see how going back to userspace would help. What is the solution? There probably isn’t one outside of hardware (buying a hacking chip and soldering it in is annoying for most)

    When I was doing game dev we focussed on AI-style analytics of user behavior. Of course a good enough bot could always look human. A real cat and mouse game wasting lots of time



  • I often felt that current ML speeds up newbie devs by effectively teaching them the language and libraries — but slows down experts that already know the stack well from memory. I started coding in a new language and system, and ML can be a bit faster to teach me things and provide simple snippets than stack overflow

    But over time I’ve learned that there are very specific things that ML can do really well, and I can save time when I apply those techniques. For example, it’s excellent at converting from one language or style to another, ex migrating configs from json to yaml. It’s also pretty good at writing configs or generating template code based on them. It’s good at picking an emoji from a list. It can write small functions or provide a template html layout. So I humbled myself and started integrating it into my workflow where it actually works