I waddled onto the beach and stole found a computer to use.

🍁⚕️ 💽

Note: I’m moderating a handful of communities in more of a caretaker role. If you want to take one on, send me a message and I’ll share more info :)

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Joined 3 years ago
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Cake day: June 5th, 2023

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  • This is actually pretty cool / relevant, since we’re working on the Fedecan guidelines right now. I’ll add this to my notes to read through later, and if I can learn some new terminology / recommendations.

    A key motivation behind the process of copying other communities’ rules was the desire to project legitimate governance (i.e., the presence of responsible content moderation) and communicate alignment with established norms across an ecosystem of online communities

    Many Fediverse leaders pointed to mastodon.social’s rule set as a benchmark of legitimate community governance

    I can confirm both of those points. Myself (and other users and team members) felt like our existing rules were lacking, and I did check out how mastodon.social was handling things.

    Next, we find that leaders, while knowing problems exist, may lack the capacity to implement effective rule changes to resolve those problems

    This is going to be a big one, we’re all limited by how much time we can put towards it. I still need to go back and put together the second version of ours. It might be wise to relax how often we update our rules.




  • That’s very cool, and I appreciate the thought that you’ve put into this, including the naming.

    How does the embedding side change as it scales up? (Storage costs and performance). Brainstorming based on your description, I assume the embedding process is the most resource intensive, and lookups are basically free? If so, would the limit be how fast it can process all new posts?

    I wonder if it would be helpful to run a threadiverse search service like this, which other instances can plug in to. Theres no strong reason for everyone to run their own, since they can just filter out any results that a particular instance has blocked or banned. In our case, we wouldn’t want to replicate that work across the few instances that we run.




  • Here it is:

    The Conservatives announced his removal from the slate less than an hour after NDP candidate Callista Ryan, who is running in Vancouver-Quilchena, posted screenshots on social media platform X showing what she said were McIntosh’s posts.

    One post under the name “DeathNight” says Hitler “may not have intended death” during the Holocaust, and that “lots of Jews died” not because Hitler “hated them specifically” but because there were so many of them.

    As for how people found the connection:

    McIntosh’s LinkedIn profile shows he graduated from high school last year.

    Ryan said in her post that it appeared McIntosh thought he could use a “nameless Twitter account to say many awful, offensive things.”

    McIntosh declined to comment when reached by phone, saying only that he would call back.

    An Apple Music artist profile for a musician called “DeathNight” lists Jordan Zheng McIntosh as their lyricist, composer and producer.

    Jordan Zheng McIntosh is the full name of the Conservatives’ former candidate, according to Elections BC.


  • I suspect that LLMs do pretty well with troubleshooting Linux thanks to those manuals and old forum posts. After using them to troubleshoot Linux based devices, I tried the same thing on Windows and it struggled to figure out what commands to run.

    Windows is a mess to configure and troubleshoot, even with the help of LLMs. Microsoft could have spent their investment trying to fix that, but I don’t think they have.

    “Copilot can troubleshoot your computer” could have been a selling point, but they’d have to admit that windows 11 is a buggy mess




  • That’s fair, and it was a poor example on my part.

    If one treatment is much better, then yes that one would be preferred. Generally when there are two treatments being weighed, both will have consequences (else one would obviously be better).

    My point was that knowing things about a person, outside of their physical biology, can get better outcomes. It should never be REQUIRED for the patient to share it, but we should educate medical staff about their community so that they can use that information when it is helpful.

    Some other examples, that aren’t specific to gender

    • knowing what pronouns to use would make the patient trust the provider more and feel more comfortable
    • if you know the patients literacy level or knowledge of medical terminology, you can adjust your explanations
    • if the patient belongs to a group that might have an aversion to a particular treatment, you know to either spend more time explaining it or to let them know another option is available
    • if you know the patient is poor, then you might take that into account when recommending treatments. Even in publicly funded health systems, the lifestyle recommendations might not apply to every person

    At the same time, the person shouldn’t be making assumptions based on someone falling into a particular group, and they should confirm whatever it is they are checking for.

    IMO, knowing about gender is less important in places where it doesn’t carry as much cultural weight. As another example, if someone identifies as a woman in a culture where they don’t want to be alone with a male figure, knowing their identity might remind the staff to bring someone else who identifies as a woman into the exam room.



  • That quote was someone else

    “LLMs are good enough now,” said Greg Kroah-Hartman, a veteran Linux kernel maintainer, at the Linux Foundation’s Open Source Summit in South Korea in August. “They’ve gotten good enough to find bugs because LLMs, AI, are just pattern matchers and code is nothing but patterns in a specific format.”

    Also to be fair, that quote is about finding bugs and the guy might not have been talking about using AI to patch them. The article makes it sound that way, but the article also seems overly confident and pro-AI about some other things too.

    You can deterministically find something that is clearly defined, but bugs don’t fall into that category


  • Gender, and other factors that aren’t as “medically relevant”, may help the staff pick between two treatment options. The patient’s comfort and happiness can affect their overall wellbeing.

    Say someone grows up in a culture where their gender (or some cultural group the person can belong to) usually has long hair. A particular treatment may have two options:

    • shave the head
    • something that doesn’t involve shaving the head

    Knowing what gender (or other group) the person belongs to might inform their decision.

    Note, this is about why medical staff might want to know about gender identity and not the original question of how many legal genders we should have.


  • I added a link to the full PDF, it does seem to focus more on the rollout side

    It doesn’t have the foundation try it internally, but it does call for a strategic rollout. The way I read it, the organization is only supposed to manage the transition and rollout, while people who are actually using computers for work will be the ones to test it. It will start with those who are less likely to be affected by any teething issues.

    Pilot deployment targets risk-graduated workloads sharing four properties: web-first application stacks, low Microsoft 365 dependency, high political tolerance for transition friction, and existing institutional FOSS familiarity. The recommended pilot footprint comprises federal developer workstations (low compatibility risk, high FOSS familiarity), public-facing kiosks (single-application footprint), education ministries (existing FOSS deployments at the K-12 layer), and public library networks (Koha and Evergreen already deployed extensively).

    This is also a part of the first phase, which IMO is more important:

    A mandatory FOSS-first evaluation clause should be added to the Treasury Board Directive on the Management of Procurement for desktop and server refresh cycles. It should be framed as a technical-specification requirement rather than a nationality preference, replicating the EU’s GPA-compatible FOSS procurement architecture documented by Shaikh & Levina (2019).

    He does also talk about MS Office & M365

    the biggest user hurdle is rarely the operating system itself, which most users are unaware of, but the applications. Public servants are deeply entrenched in the Microsoft ecosystem and replacing MS Word and Excel with open-source alternatives like LibreOffice can be challenging for some users. Although LibreOffice has overall good functionality, minor changes may be needed, for example in formatting, use of macros or assuring the fonts users want are available

    Application incompatibility is rated High likelihood, as Microsoft 365 lock-in is the primary operational constraint. Empirical FOSS migration research demonstrates that web-first sequencing combined with compatibility layers resolves the majority of incompatibilities at the application layer rather than requiring wholesale rewrites (Ven & Verelst, 2011). To minimize this primary risk the following migration sequence can be used (Hauge, et al., 2010):

    1. Inventory applications by dependency class.
    2. Prioritize browser-based and cross-platform applications.
    3. Containerize or virtualize legacy Windows applications.
    4. Replace Active Directory dependencies with open identity standards where feasible.
    5. Maintain Windows virtual desktops for exception cases during the transition



  • It’s intentional disinformarion. This is a war, and wars are rife with propaganda

    The problem is that this could also end up furthering disinformation.

    If a user without tech knowledge interprets this news as “the fake right wing bots were shut down”, but still sees accounts on their social media posting during that time, they might start to believe that those accounts are real people in their community.

    I hope there was a dip in social media bots, but I don’t want to be saying that unless I see more evidence for it. The existing evidence mentioned in the article has been followed up with clarifications / retractions by the people that shared it

    • Cloudflare clarified what their graph represents
    • The Czech member of Parliament, who shared a popular post, “has since said he ‘did not present it as a clear fact’”
    • “Zelensky’s office told BBC Verify the president was “talking about the atmosphere on social media” rather than a fall in bot activity. It added it had seen “reports of fewer provocative and hateful comments” from many social media users.”

    To be clear, I appreciate your explanation and I agree that it’s plausible. It is also possible that both things are true (they use data centers, but the fake accounts people were monitoring are running out of different data centers).