Defeating the cancer of imageboards through asynchronous LLM post quality moderation - Obscure altchan tries to achieve quality over quantity without unreliably biased/subjective moderation

.:: rave ::.

kiwifarms.net
Joined
Dec 16, 2025
I am making a separate thread for this particular issue because I feel that it targets a separate, more volatile/human issue than what our solutions to the CP & spam problem target.

I am a moderator and part-time developer for The Cyberix Network .

All of our moderation issues have historically been because of some kind of spam. We have begun to solve this using a system that pretty much makes spambots commit suicide while regular users remain safe.

Our actual constraint, now that we are taking steps toward defeating a common Internet enemy, is post quality, which has a great impact on Cyberix's outside reputation.

We are featured on AllChans. The implications of this are easy to make out: 4channers who don't like 4chan go to altchans but decide to spread their modern 4chan cancer culture there instead of cultivating themselves into the existing culture or creating something new.

Cyberix is definitely affected by this, even though we aren't exactly an imageboard but a forum with imageboard elements. We appreciate and encourage open speech, but we are beginning to realize that you cannot just have totally unmoderated speech without it turning into a cesspool of flamewars and bad-faith arguments/posts. We appreciate quality.

Here is my proposal:
What if we deployed an LLM that was finetuned on Cyberix rules (and rules 3 and 4 from Lainchan just to be safe) and biased against the cancer that runs in the blood of traditional imageboards and short-form websites?

It'd process new posts in batches, just like how the vision model processes attachments. No need to deal with spam or useless catchphrase / 'bloatposters' when the LLM takes care of that kind of cruft for us. I imagine having a new mod panel section that would let us customize the model even more to reduce false positives (if any...) and target specific kinds of unwanted posts (and soyspeak if we really wanted to, for example).

An LLM that analyzes recent posts and threads would be more effective at adhering to specific rules and examples, as it has no human experience or bias. It would be able to perform a consistent application of rules and forum standards without human mood variation.

Its goal is NOT to inhibit good but otherwise negative speech (an extreme example of this would be an anonymous poster over TOR making a detailed thread about his life experiences and what led him to become a racist), but to inhibit nonproductive speech that can also be of a "trashy" nature (an anonymous poster using Tor to post a one-liner saying "Brown hands wrote this" or someone posting "is this site turning into an insane asylum" in a thread about religion) in otherwise serious or productive threads.

I'd love to hear your thoughts on this idea. I believe this implementation would be yet another grand move in our work to conquer all of the long-standing problems that have plagued anonymous messageboards since their inception. We've stopped the CP problem, and we've begun to stop the spam problem. This would likely be the "part 2" of the solution to that problem.
 
All LLMs are biased as they are trained on human language.

Might be good at first but due to prompt injection, they will probably not end up being effective, and as you propose processing in batches, may be convinced to block legitimate posts.
 
Its goal is NOT to inhibit good but otherwise negative speech (an extreme example of this would be an anonymous poster over TOR making a detailed thread about his life experiences and what led him to become a racist), but to inhibit nonproductive speech that can also be of a "trashy" nature (an anonymous poster using Tor to post a one-liner saying "Brown hands wrote this" or someone posting "is this site turning into an insane asylum" in a thread about religion) in otherwise serious or productive threads.
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Its goal is NOT to inhibit good but otherwise negative speech (an extreme example of this would be an anonymous poster over TOR making a detailed thread about his life experiences and what led him to become a racist), but to inhibit nonproductive speech that can also be of a "trashy" nature (an anonymous poster using Tor to post a one-liner saying "Brown hands wrote this" or someone posting "is this site turning into an insane asylum" in a thread about religion) in otherwise serious or productive threads.
what the fuck is this faggot ass altchan? i assumed they meant all the loli when talking about 4channers bringing over their cancer but they seem to just hate everything about 4chans culture (or atleast what remains of it)

isnt this kind of what null has implemented here? i remember him saying something about using a LLM or other such technology to achieve this same goal, it just seems that these people are going above and beyond for the worse by bloating it with taking mean posts out aswell as cp. that will probably cost them in the long run as the waters are muddied by it trying to get rid of so many things and not just one specific kind of actually damaging spam. regardless i hope they are successful since this kind of attack is so sickening and anti-Internet that any possible solution to it should be accepted even if these admins intend to use it for more than it should be used for.
 
You are an idiot for trying to create an altchan after 2020, nobody is going to use it, if people want quality conversation about things they would much rather do it in a non-anonymous environment (Reddit, kiwifarms, etc) to avoid shitposters and trolls, I already played with LLMs for post quality and it will end up sniping most posts for being "low quality", especially if someone is being genuine in asking a simple question, you will have so many instructions loaded that posts will just not get through at all. The only good thing they can do is NSFW image analysis (which they still perform with mediocrity).

What instructions do you plan on loading into your LLM for post analysis?

Your site also seems redundant since I can ask any cloud-based LLM any questions that already exist on your site and get a good answer, and your users would probably end up using LLMs to get around this supposed "post quality" filter.
A lot of the things being discussed on your site are also things people already know

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I can see how the sheer volume of posts might be hard to moderate via traditional means.

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You're literally saying this on a forum well versed in having to handle attacks of various kinds, from bots to disrupting services. You pass a proof-of-work just to access the site, log in with an account just to post. There are many reasons independant websites and forums are dead, one of them being that it tends to be a near impossible task to moderate again the very common spambots and botnet attacks of the modern era. Traditional means are dead unless you can get through those kinds of attacks. Abusing technologies to avoid this is a reasonable method I support if done correctly.

Your site also seems redundant since I can ask any cloud-based LLM any questions that already exist on your site and get a good answer
That just means you're retarded.
 
Schizo
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I think I've mentioned this before, but you can run a BLAST-like algorithm on new posts against the user-generated text corpus of your own site's database.

This will identify highly-repeated phrases, which you may treat as low information, low-effort, "spam", etc., but it will also catch meme content.
This may be desired, but may undermine community cohesion if it cannot generate shared cultural norms.

You can also allow a self-training Markov composite to stabilize while drinking from your site's firehose, and, once you are able to characterize its behavior, can set up alerts for unusual composition changes.
This often just represents user reactions to some big current event (do you need a containment thread?), but will also catch raids and spam attacks.

Depending on the structure of the community, it may work better to have multiple instances of these tools running with different contexts (1m/1h/1day) and scopes (thread/board/site), for comparison between them.

These are also useful tools for entity analysis, if you wish to track the posts of a specific "anonymous" user and do not have other means of attaching identity.
 
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