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Joined 1 year ago
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Cake day: August 6th, 2023

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  • Dopamine received, initiating hyperfocus protocol!

    As a rule of thumb, we’ve observed that a team of 5 trained moderators appears to provide ample coverage and redundancy for servers of about 1,000 active users

    That’s a fascinating bit of information. I would expect 5 moderators to provide coverage for more users. I am wondering how they came up with that statistic (will update the comment if I find an answer).

    Remember that offliine/IRL community management experience can be just as important as online experience

    Interesting idea, wondering what’s the IRL presence of the fediverse…

    If you’re building toward participatory or democratic governance, consider establishing a proposal and voting system (some teams we spoke with use Loomio, but multiple options exist) for major policy decisions.

    That’s soooo important, I love when communities create polls to decide on policy changes.

    Avoid promoting brand-new members unless you already have a pre-existing relationship with them

    I have followed some discussion on multi-level hierarchies on the fediverse, wondering if there are any instance implementing that…

    Consider charging for accounts or offering paid memberships.

    Hell no!

    We hope there will be more resources available in the future, particularly tooling around legal compliance. This is one of the big infrastructural gaps we point out in our main report

    That’s a big issue, I would be interested in hosting an instance available to other people, but I don’t want to end up in jail and I lack the resources to make sure that won’t happen…

    That was an interesting read, it seems there is an in-depth analysis of the report here.




  • While the consumption for AI train can be large, there are arguments to be made for its net effect in the long run.

    The article’s last section gives a few examples that are interesting to me from an environmental perspective. Using smaller problem-specific models can have a large effect in reducing AI emissions, since their relation to model size is not linear. AI assistance can indeed increase worker productivity, which does not necessarily decrease emissions but we have to keep in mind that our bodies are pretty inefficient meat bags. Last but not least, AI literacy can lead to better legislation and regulation.











  • I am definitely guilt for that, but I find this approach really productive. We use small bug fixes as an opportunity to improve the code quality. Bigger PRs often introduce new features and take a lot of time, you know the other person is tired and needs to move on, so we focus on the bigger picture, requesting changes only if there is a bug or an important structural issue.