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Joined 3 months ago
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Cake day: September 15th, 2024

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  • My partner is a long time gamer on Windows. Her Win11 laptop doesn’t have the same performance as mine so I setup a gaming account for both. I barely told her anything on how to “operate” it and after a couple of times she has no problem on her own.
    Just now, I came back to the pc and see kwrite open with a message from her. Never told her how to do that. She just searched for “notepad” on the menu like she would on Windows.



  • I work in Windows (company provided laptop) so on average I spend less time on my Linux PC. And I completely agree with you.
    KDE as been my go-to desktop because of the familiarity. Some people argue that it has too much costumisation but the defaults give you everything to run a modern PC. While still allowing you to venture into the “terminal”.







  • nfms@lemmy.mltolinuxmemes@lemmy.worldNew Debit Card
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    2 months ago

    I’ve had the same path as you. Arch has been the simplest distro I’ve tried. And with archinstall it’s a breeze.
    I’ve also found that Plasma 6 takes away most of the hassle with setting up a desktop - for my use case.
    Been using a PC since Win 3.1 and it’s by far the most stable system I’ve ever had








  • The “statement” was taken from the study.

    We conduct the first large-scale user study examining how users interact with an AI Code assistant to solve a variety of security related tasks across different programming languages. Overall, we find that participants who had access to an AI assistant based on OpenAI’s codex-davinci-002 model wrote significantly less secure code than those without access. Additionally, participants with access to an AI assistant were more likely to believe they wrote secure code than those without access to the AI assistant. Furthermore, we find that participants who trusted the AI less and engaged more with the language and format of their prompts (e.g. re-phrasing, adjusting temperature) provided code with fewer security vulnerabilities. Finally, in order to better inform the design of future AI-based Code assistants, we provide an in-depth analysis of participants’ language and interaction behavior, as well as release our user interface as an instrument to conduct similar studies in the future.