A frog who wants the objective truth about anything and everything.

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Alt lemmy account: Cafefrog@lemmy.cafe

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Cake day: July 4th, 2023

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  • The most effective supplement with the biggest impact I’ve ever tried is plain old magnesium oxide (the expensive forms are a waste of money, and you’ll actually absorb less elemental magnesium from them. Just take the oxide form with a meal to avoid the shits).

    It’s difficult to get enough magnesium in most diets, and I found that ensuring adequate magnesium intake had the effect of making my mind just feel sharper (that effect is especially prominent if you’re supplementing vitamin-D as well, since that tends to use up magnesium in its conversion process, IIRC).

    nothing else has had such a noticeable, non-placebo benefit (except Vitamin D if you’re deficient, which will make you crazy depressed without getting sun or supplementing).


  • Personally I thought that was a nonsensical argument from them, as they could’ve just put in the policy to declare that AI was used, but just not mention the specific one. Better yet, IMO, would’ve been to ban all non-self hosted AI use, which basically cuts out all the corporate AI’s.

    Though even with the self hosted models available, the ethical and copyright risk remains, so I’d still have personally opted for a total ban.



  • Deltachat has an extremely smooth on boarding process and is the same app for all platforms, but it cannot do voice calls or screen share (you can leave voice messages though).

    Jabber/XMPP generally has a less smooth UX, and different apps across different platforms (except the Movim client, which is a web app that works on all platforms, but doesn’t do reliable notifications on mobile).

    With the Movim client, Jabber/XMPP is basically a complete Discord and Signal replacement. It can do group video calls, screensharing with audio (only with chromium based browser for now), as well as voice and text channels under different servers.


  • Regarding metadata, you may want to read the FAQ.

    It will have forward secrecy after they finish implementing Autocrypt2.

    A person also has to determine their security threat level. If they think a state actor may take a personal interest in them, then they’re probably best using in-person offline communication. If they must communicate online, then IMHO I don’t think Signal is a good choice due to it being centralized (everything goes through their servers, and they are a single entity making them easier to infiltrate or coerce by governments) and requiring you to link a personally identifying number or credit card.

    If they just don’t want a corporation datamining them to sell to advertisers, Deltachat is more than good enough.




  • False. There are a number of models trained on data they were explicitly given permission to train on.

    So far from what I’ve seen when I investigated self-labeled ethical models, I found that they weren’t actually trained ethically, and not on code that is compatible with GPL or code that doesn’t need to be attributed. (if you can find one that has proven otherwise, I’d be open to taking a look at it).

    That said, I don’t think there would have been as much push back if the KDE proposal had explicitly limited AI use to self-hosted models.

    There’s no reasonable way they can actually ban this. And they don’t have the time or money to police it.

    According to the KDE devs, the proposal was intended to allow them to easily reject clearly slop PRs. A policy that limits AI use to self-hosted models would have achieved that goal just as well as one that allows any model, and would essentially be an honor system, which I suspect most contributors would be willing to follow (obviously not all, and there is nothing stopping a contributor from lying that their corporate AI code was generated on a local LLM, but then again, there are also rules asking contributors to not knowingly submit copyrighted code from proprietary software, which is also an honor system).

    You are simply misattributing them to artificial intelligence and not wealthy authoritarians seeking to profit. By all means, fuck zuck, musk, altman, etc and their companies. They’ve always been and always will be destructive in every way possible. AI or not.

    To be honest, I’m struggling to understand why you would be against a policy that at least attempts to limit the benefit/gain to those wealthy authoritarians. A policy that did so would not require any further resources from the dev team compared to the one they attempted to implement, it would basically just be an official request to contributors to not use the explicitly fascist owned tools that are most contributing to global warming and our subjugation.



  • AI can be implemented ethically.

    Potentially, yes. Currently this does not exist.

    AI can be done without destruction of the environment

    The AI policy proposed did not restrict AI usage to non-destructive self-hosted models.

    Who cares if AI replaces people as long as we take care of the people.

    The people who are most impacted by the negative externalities of AI are not taken care of. The people losing their jobs are also not taken care of. That is why people care so much. It’s not viable to handwave away the negatives AI are causing in the here and now with the assurance that in some far off day we’ll live in a post-capitalist world where the negatives won’t matter.


  • Yes OP has been daily Doom posting for the last month or so.

    I’ve posted about the AI policy of KDE and two follow-ups as the situation developed over the past 4 days, and am unlikely to post anything further on KDE until a new development occurs, which I anticipate will be a while.

    I have previously posted here once about Xfce using AI in their Wayland compositor, and about Debian adopting a permissive AI policy when the outcome of that vote occured.






  • ProdigalFrog@slrpnk.netOPtoLinux@programming.dev•KDE and AI, and you, and me
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    5 days ago

    There are serious concerns beyond pure code quality.

    The concerns
    1. Simply using an AI that’s run on a corporate data centers encourages the construction of yet more data centers, with all of the environmental/climate negatives they bring, as well as local harms they induce on the people living near them, such as increased electricity rates.

    2. Using corporate AI directly helps the financial situations of those giant corporations (by boosting usage/user numbers, they are able to attract more investment capital), most of which are ran by right-wing CEOs who are more than willing to collaborate with and fund fascist governments to ensure that they are not regulated in search of maximum profits. Some of these companies, such as Nvidia, Palantir and Oracle, genuinely appear to be seeking to use these tools for what would previously be considered crackpot conspiracy theory levels of public control and surveillance.

    3. All currently existing LLMs are unethically trained on copyrighted code that is incompatible with GPL licensed projects. LLMs have a 3 to 10% chance to unknowingly reproduce the copyrighted code perfectly, introducing legal plagiarism into an open-source project, which could easily open up the developers to being sued in the future if companies scanned open source repos for copyright violations.

    4. Many courts are ruling that LLM generated code cannot be copyrighted at all, meaning that it also cannot be legally made GPL, losing the protections from corporate exploration the GPL normally grants. https://fsfe.org/news/2026/news-20260825-01.html

    5. It is not clear if LLMs can be “just a tool”.