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. 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://kolektiva.social/@ophiocephalic/116518887925988112, 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 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 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.


I’m not saying they don’t have any purpose, but it might be a good idea to question whether you would like a cold calculating machine to interact with, instead of something made with human care.
I think perhaps this world has dehumanized everyone so much that they would prefer interaction with cold sycophants instead of a meat problem
LLMs are tools. Like … compilers. Your post comes off very strange with that in mind.
I agree, the problem isn’t the people who approach them like tools, it’s the people who approach them like people, or confidants, or gods. I’m aware that isn’t everyone, but some append consciousness to something akin to advanced autocorrect like their phone has.
We can merry-go-round the philosophy of whether humans are tools, or consciousness is an algorithm, but it is missing the point I fear, that this stuff doesn’t comprehend, it says it does, it’s a simulacrum of understanding, wrapped up in humanlike speech, not something that cares about anything
I’ve never really cared much if my C-compiler “understands” assembler - just that it produces good results ;)
I used a local LLM yesterday to reverse engineer Winbond’s NAND ECC algorithm*. That wouldn’t be possible with any other tool since the LLM spent the time “reasoning” around algorithms. I don’t really care much about the definition of “reasoning” - just that the job got done.
I feel the AI haters try very hard to claim that the LLMs can’t do anything new. That just … isn’t so. LLMs are a new kind of tool and they have plenty of viable uses.
*) https://blog.troed.se/posts/winbond_nand_ecc/
Eh, I don’t use it much, but when looking for answers to questions that don’t seem to be answered in old forum posts, it’s been pretty helpful in sorting out tech issues.
And I think what they mean by ‘can’t do anything new’, is that it is built from what already exists, but that’s true of all tech really. I think the bigger issue isn’t that it’s not creative, but that at a certain point, what it will be building off is its own output. Humans have the same issue in reproduction, if we only inbreed, we cause issues in our schematics, as it were.
And here I’ve done it to myself, attributing living elements to a tool. I try to be mindful of these things, but just imagine how many aren’t.