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Joined 8 months ago
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Cake day: September 15th, 2024

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  • I think for OP it would be better off with a Framework laptop. It makes more sense in the long run.
    Linux on ARM is great for SBC servers but not so good on the graphics stack. As @[email protected] pointed out Snapdragon SOCs are still lackluster. I’m sure Framework will have ARM in their lineup in the future (there’s already a RISC-V mainboard) while support for these CPUs keep improving.
    On the other hand, i recently bought a 6 years old lenovo, installed Fedora KDE and it all just works, more importantly for me power management is no longer an issue. It will never be on the level of the newest Apple silicon though.





  • I think you nailed the first paragraph.
    My comment is just to remind that OP is already running an immutable distro on the Steam deck. Valve OS is an arch based immutable distro.
    Bazzite was assembled, by some very cool people, to bring the same features of the Steam deck using the already tested atomic editions of fedora to a multitude of “PCs”. Saves time on managing the “Linux” system and focuses on the gaming features, apps and drivers.






  • I live in Europe. Had Spotify for about 5 years, stopped paying and using 6 months ago. I usually buy from Bandcamp, mostly non mainstream music, and download in FLAC and store it on my server. I can stream through the app on my phone when I’m out.
    For the ones I can’t find on Bandcamp, or albums from major labels, I tend to find it on Qobuz in MP3. Pricing trends to be similar everywhere.
    My pirating nowadays is mainly for old music or establish artists.

    Edit: autocorrect









  • 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.