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  • 39 Comments
Joined 1 year ago
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Cake day: July 10th, 2023

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  • No, I live here.

    I hate

    • religious zealotry
    • massive dichotomy in polotical ideologies
    • identity politics
    • warmongering
    • brainwashing (pledge of allegiance?!)
    • poor treatment of poor and homeless
    • prison complex
    • poor education system
    • incredibly expensive healthcare
    • terrible zoning laws and car centricity
    • hiroshima, native genocide, iraq, and so many more. The US has shed so much blood and terror inflicted on the world population
    • world police, vigilante, the US is basically every bad movie villian in country form
    • regressing views on women’s rights
    • the history of slavery




  • Wow what a neat project, I have spent a lot of time recently working around vulkan on m1 machines with compatibility layers and while it’s not a huge pain it does suck to miss out on some of the more powerful features of vulkan that the hardware is certainly capable of. I’m not keen on learning metal to bridge the gap and this is just what the doctor ordered.

    This will be a huge boon for me, way to go!



  • 0x01@lemmy.mltoLinux@lemmy.mlVLC Player
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    1 month ago

    We don’t deserve our open source heroes, so grateful for the incredible free software ecosystem

    Gimp, 7zip, blender, vlc, open office, the kernel, thousands of others, I feel like our lives have been universally improved by these inverted charity projects. The few taking care of the undeserving many.


  • I’m a 10 year pro, and I’ve changed my workflows completely to include both chatgpt and copilot. I have found that for the mundane, simple, common patterns copilot’s accuracy is close to 9/10 correct, especially in my well maintained repos.

    It seems like the accuracy of simple answers is directly proportional to the precision of my function and variable names.

    I haven’t typed a full for loop in a year thanks to copilot, I treat it like an intent autocomplete.

    Chatgpt on the other hand is remarkably useful for super well laid out questions, again with extreme precision in the terms you lay out. It has helped me in greenfield development with unique and insightful methodologies to accomplish tasks that would normally require extensive documentation searching.

    Anyone who claims llms are a nothingburger is frankly wrong, with the right guidance my output has increased dramatically and my error rate has dropped slightly. I used to be able to put out about 1000 quality lines of change in a day (a poor metric, but a useful one) and my output has expanded to at least double that using the tools we have today.

    Are LLMs miraculous? No, but they are incredibly powerful tools in the right hands.

    Don’t throw out the baby with the bathwater.