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#Fediverse
Doing a quick server reboot, shouldn't take long.
Does it take just 1 subscriber to get a community "trending"?!
Vous saviez que le résultat des Lemmyvsion sont tombés ?
C'est un peu comme l'Eurovision mais dans le fédiverse :

Hey everyone, first of all, thank you for participating, whether you organized with your community to submit a song, voted for your favourite, or just sent words of encouragement, it’s awesome to see the fediverse come together and share music!! This year saw the most participation and votes than previous editions, I tend to worry about the event flopping and not being interesting so I’m super happy that it’s still growing blep dance [https://jlai.lu/pictrs/image/4113fdb4-4aa5-4996-8ddf-0baed897f8c1.gif] Without further ado, the results! | Artist & Song | Average Rank | # of times ranked 1st | |----------------------------------------------------------------------|--------------|-----------------------| | Angine de Poitrine - Fabienk | 5.1 | 13 | | Igorrr - Limbo | 5.1 | 7 | | Vita - Merz Leck Eier | 5.3 | 10 | | Hyphen - This Might Be It | 5.9 | 3 | | Boy Golden - Suffer | 6.1 | 4 | | Jamie Paige - Birdbrain (w/ OK Glass) feat. Kasane Teto | 6.3 | 7 | | Elisapie - Uummati Attanarsimat (Heart of Glass) [Hologramme Remix] | 6.6 | 3 | | HAYASii - Hunting Soul | 6.7 | 3 | | Mudrat - Bars | 6.7 | 2 | | Ecca Vandal - Bleach | 7.3 | 5 | | Signes à L’Œil - Quand on arrive en ville (D. Balavoine, N. Workman) | 7.7 | 2 | | Criz03sora - Markhamia Castle | 7.8 | 3 | | Swerve Strickland - Hit Different | 7.8 | 2 | Congratulations to lemmy.ca [http://lemmy.ca] (French Canadian), jlai.lu [http://jlai.lu] (French), and feddit.org [http://feddit.org] (German) for an incredible top 3! I don’t have much time today to share more interesting insights, but don’t hesitate if you’d like to take a look at the csv file of the results 😊 Thanks again, I hope you had fun discovering new music, and I’ll see you next time!!
Here's the #FAF stance on LLM moderation on the #fediverse: https://lemmy.dbzer0.com/post/68757445
tl;dr: We don't use LLMs, nor do we plan to.
Do not believe disinformation. This is what actually happened and what we believe.
Recently there’s been quite a bit of outrage because the developer of Piefed publicly called out the Fediverse Anarchist Flotilla (FAF) for supposedly using LLM for automating instance moderation. [https://join.piefed.social/2026/05/04/ai-assisted-moderation-in-the-fediverse-is-happening-now-what/] and even though many of our admins the larger lemmy community took great lengths to debunk that post, it has become the disinfo that keeps on giving (see https://lemmy.dbzer0.com/post/68749575 [https://lemmy.dbzer0.com/post/68749575], https://kolektiva.social/@ophiocephalic/116518887925988112 [https://kolektiva.social/@ophiocephalic/116518887925988112], https://lemmy.dbzer0.com/post/68222242 [https://lemmy.dbzer0.com/post/68222242] and more) After clarifying our position for yet another time, someone suggested we should make an official post and an instance policy to “give me something I can boost as a positive example and a sign that things will be better going forward.” and given that this storm-in-a-teacup doesn’t seem to be abating as people are all too happy to bring it up again and again to malign the FAF; We’re making this post to once and for all clarify this situation. # History We’re not going to rehash the whole drama and the many hit pieces against the FAF in the past two weeks, but I need to post the exact situation as it happened, without speculations and assumptions that people are all too happy to jump to. * One of our mods develops a tool to download a user’s public posting history through the lemmy API, to be used for evaluating them during moderation and shares it with some people in the admin team as something in progress. This tool does not feed anything to LLMs, it simply downloads the comments locally in a text file for easier review than going via the lemmy GUI. * Someone is reported to our instance admins for blatant zionism and genocide apologia. * An admin uses the tool to download the accused person’s comment history for evaluation * A quick evaluation (without LLM) confirms that this is a person that needs to be instance-banned. The moderation decision has now been locked-in at this point. * At the same time, that admin was curious to discover if LLMs can used to summarize people’s positions so that people can quickly follow-up with mod actions, without having to evaluate everyone’s posts manually and reduce the workload of admins writing long justifications) * As an experiment, the admin pass the user’s comment history through a locally-run open-weights LLM (Qwen) to see the summarized output. It happens to match their own decision. * The admin decides the leave the LLM summary in a pastebin along with that user’s posting history for reference. As an inside joke, they decide to claim the post was summarized by OpenAI, as they expected only our community would care about this and our stance on corporate-LLMs is well-known at this point. * The admin bans that person, providing a link to that pastebin as justification. * The admin decides not to continue using LLMs anyway for summaries, for many valid reasons. As evidence see the lack of other pastebins with LLM summaries. ~2 weeks pass… * The piefed developer is banned by a different mod in our instance for “zionism”. (I put this in quotes as this is one mod’s opinion, and not necessarily our instance’s position.) * The piefed developer apparently starts going through our instance modlogs for banned zionists and parses all their justifications * The piefed developer discovers that modlog justification from 2 weeks before with the LLM summary. * The piefed developer ask quickly in the common lemmy admin channel about it, at which point our instance admin in question, clarifies that the LLM was not used in the decision-making. * The piefed developer does not officially reach to anyone else from our admin team, despite the fact that we’ve reached out before and asked them to contact us in advance for inter-instance matters to avoid escalations. * The piefed developer make the public call-out I linked above as a piece of investigative journalism. The piefed developer does not provide the comments from our team which conflict with their narrative. The piefed developer not ask us for an official statement. * The piefed developer to this day has not amended their public call-out from the comments multiple of our admins and lemmy users leave under their post, conflicting with the narrative. If you feel I’ve misrepresented any steps of this history, please let us know and I’ll be happy to adjust. Given that, we acknowledge that even though we didn’t use LLMs in moderations, we allowed it to appear as if we did, and that’s on us. We will of course not do the same mistake again (appear as to be using LLMs for moderation) # The FAF’s stance on LLM moderation We are aware that our instance is seen as “LLM-friendly” due to our nuanced take on LLMs [https://wiki.dbzer0.com/divisions-by-zero/the-genai-tag/] but that does not mean that we, as an instance, ever considered using LLMs for moderating our instance. So we want to make it absolutely crystal clear how we stand on the matter. As an official policy: * We have never used LLMs to guide our moderation decisions. This includes using LLM summaries which we would then validate, as well as LLM summaries which we use to confirm our existing decisions. LLMs are just not in our moderation loop whatsoever. * We have never passed instance data to corporate LLMs. * We have not used any automated moderation tooling which utilizes LLMs. The closest we have is the FOSS anti-CSAM filter I’ve developed [https://github.com/db0/fedi-safety] and shared for years now, which relies strictly on locally-hosted machine-vision models. * We have never officially considered using LLMs for moderation, nor do we plan to. * As a team we’re steadfastly against LLM for moderation due to its inherent biases. * If any of the above changes, we will publicly inform the FAF community. We hope this can finally put this matter to rest.