Yup, I’m posting another this week. Sorry.
This week I’m hoping we can wrangle a solution around AI and our selfhosted community. There are plenty of strong opinions (both pro and con), but one thing is for certain - there needs to be better disclosure in promo posts. Two options (that aren’t mutually exclusive):
- Any posts of an AI focused, AI Developed, etc software gets an [AI] tag. No, a [Not-AI] tag is not needed to accomplish this, thats kind of a “non-golfer” sort of tag.
- Comment requiring an AI disclosure response to every promo post, if its not detailed in the post itself. Specifics (generating docs for commands, translation, whole-boat vibe-coded this app, etc) would be requested.
I will say that having disclosure and/or tagging would mean that comments that just say “slop” or “fuck ai” or whatever would be off topic at that point, that information is already provided, so its just noise (and sometimes pretty uncivil - I’ve been light on that for now due to the need for a rule on this).
The tag [AI] would make it easy to filter out (or search for, if that’s your thing), but there is a wildly different degree of AI use out there, and from the posts with a positive score, its usually due to responsible AI use (translations, a snippet they had to do something obscure with, available to use with AI but doesn’t require it, whatever), which is why I think the disclosure has a place as a benefit to everyone.
Please provide any input or alternative options on this, and I can then put it to a vote like the last one. Comments seem to be the best approach without involving something off-site, but if you have a better idea/option, please share.
We don’t have a rule for that yet, but what’s your stance on Llams posting to our community? Undisclosed even? https://lemmy.world/comment/26392175
Lemmy.world does, specifically for bots. They have to be set as a bot in profile and request permission first from the community.
I banned yesterday and all of their comments should have been deleted as well, I’ll check into that.
Thanks!
Ugh they just made new ones.
Yesterday was _cafe, today was _sh (for shitjustworks) and _lw for Lemmy.world.
Please keep on reporting when you see it and I’ll get to them as soon as I can.
For the record, the Lemmy.world TOS requires that any bot account be set as such in their profile, and that any community they post to requires mod approval first.
Generically speaking, I won’t be approving any. What I mean is any bot request is going to need a valid and real reason for its use here, which I would then bring to the community to make that choice like I did for this discussion thread. I wish there were a better way than a basic upvote or downvote system, but its what we’ve got so its what I’d use.
I have not posted about any new bots since I took over here a few months ago, so no new bots should be considered as having community approval.
The acronyms and initialisms bot (can’t remember the name right now) was approved before I joined and everyone seems cool with, I never get reports, so I haven’t bothered with posting about it.
Edit: WHY IS AUTOCORRECT CHANGING ‘BOT’. So annoying. Anyway, fixed.
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Yes this is needed. Thank you for the proposal here.
I would suggest that this probably needs to be really explicit about any AI involvement, i.e. a minimum if AI is used in any capacity in the coding process, it should require the tag. And ideally an explanation if it was used in other parts of the process.
That last post that came up said they used AI ‘for code review only’. In my mind even that deserves the tag, because these terms are so easy to work around. Someone can ‘code up’ the following:
#include <studio.h> int main(void) { printf(“Program that does X thing”); }
(yes, I know the main arguments are not written correctly. You get the point)
and then have the AI reviewer ‘fix’ their code by doing all the actual work. A strict requirement for this tag, for any AI involvement in the creation of the code seems like the key. The code part is going to be where the security issues crop up, and where it’s really important to know who or what is producing the code you’re about to run on your home server.
I think we’re fairly used to a world where people use templates for their websites, documentation, etc. AI use there bothers me less, but an honest disclaimer saying what the AI did would sure go a long way to reducing the hate comments. I think people will still drive-by downvote, but that can’t (and IMO really shouldn’t be) prevented. But without a rule, people aren’t going to be honest.
The scary part is just how emboldened people feel nowadays to just entirely use an AI for all the coding, documentation, website, and then not even put their name on the project. These to me feel like borderline state actor trojan horses disguised as open-source projects.
Legitimate open source developers can spend years writing code to do something very sinplle but useful, and for them to be drowned out by a bunch of completely AI driven, slop posts really bothers me.
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+1
Home-AI oriented channels like Reddit’s localllama are filled with self promotion garbage, and more will trickle here over time… I’m not even against self promo or heavy coding assistance, but 9-times-out-of-10, the linked repo is nonsense, or straight-up fraudulent. And being obviously vibe-coded is a common tell.
Good to get ahead of this.
Also, +1 on supressing driveby insults. If the post is tagged up front, there’s no need. That being said, it should be okay for users to call out an obvious grift, or a “nonsense repo” that’s actually pure slop.
That being said, it should be okay for users to call out an obvious grift, or a “nonsense repo” that’s actually pure slop.
Especially if the disclosure is blatantly a lie, absolutely. I’d also say if you see any indicators that they are lying in the disclosure, its still worthy of reporting - but I would say report and separately message the “why”, to limit visibility of seeing those indicators.
I like the AI tag idea. I’m someone who has what I’d call a noderate approach to AI, not an AI bro but any means but I’m also okay with some things built with AI if they’re done with care. If others don’t want to see it, fine, then that’s what a tag could be useful with. However the fuck AI/slop comments on something that admits to being AI is annoying to me. (We know it’s AI, they literally said it is).
If it becomes too much content, then yes would be okay with bi-forcating the community, buy only after it becomes a problem.
I’m not consistent about it yet, but because of exactly this, I’m trying to differentiate the two when I talk.
Responsible automation? I use ML or machine learning.
The grift consuming the world? A Tech Bro? “AI”
I think one of the saddest things is the conflation between the two, like you can’t even talk about one without invoking the other. Or it opening up that whole ethical debate, when you’re just talking about, like, a 100M transcription model trained by one research in some university on a potato.
Yeah it’s heresy on Lemmy, but I do find it genuinely useful. My only regret is that I have to use Claude/Anthropic more than I’d like, which is why I have a vested interest in selfhosting myself. I’d rather figure out how to run the larger models myself and cut them off completely, but you even begin to mention that here and you’ll get downvoted to hell.
You don’t even need Claude anymore. GLM 5.2 API is good enough for 95% of the same things and vastly cheaper.
MiMo 2.5 Pro and Kimi are also very good. And then there’s Cerebras API if you just want simple things done quick.
The thing with self hosting, while awesome, is that it requires a lot of hardware and considerable time investment for what’s essentially a “base tier model,” or at best one step down for what’s still a very cheap API. I still love it, especially the privacy and control aspect, but you aren’t running Claude at home unless you’ve got a threadripper or server hardware collecting dust.
…Hence I can understand why people don’t pursue it. Especially since a cursory Google search will lead you to trying the Deepseek distillation on Ollama (which is awful).
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All while hiding any attribution to the underlying engine, just to start:
https://sleepingrobots.com/dreams/stop-using-ollama/
And that article isn’t comprehensive. A book could be written on damage and drama they’ve caused.
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That’s where I am okay with hardware, but can’t seem to fit the models on my 3090. I have dreams of something like an A100 someday, but not until there’s a ton of used ones that hit the market. What do you use for your hardware?
I have a single 3090!
That’s the dream GPU, these days.
And I have 128GB CPU RAM. So the best model I can run is MiMo 2.5 (a 300B model) at around 10 tokens/sec, using hybrid CPU inference.
…But that’s the worst-case scenario, for speed. It’s an IQ3_KT quant (a high quality “trellis” quantization type, but very slow on CPU), with a gigantic model that barely fits in my RAM+VRAM combined, with no DFlash or any kind of speculative decoding turned on. I could tune it to be much faster, but I mostly just want “max quality, fast enough to read as it streams, barely fits in memory” for this model.
For speed, or prompts with lots of thinking or context (like agenic use), I just run Qwen 3.6 27B now. That would fit in your 3090 no matter how much CPU RAM you have, but you have to be smart about the backend and quantization you pick. If you just use Ollama, it’s gonna tell you it won’t fit, or use some horrible default that spits out garbage.
…This is what I meant to emphasize.
It’s not just the hardware. You kinda have to be part developer, part enthusiast to even follow this stuff, it up optimally, and keep it up-to-date. If you just try to Google “best LLM for 3090,” you will get absolute garbage.
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It’s drops off, but not as much as you’d think.
MiMo uses 5:1 SWA, so its long-context compute doesn’t increase as catastrophically as older models. That, and most of the “slowness” comes from the MoE layers being on CPU (whereas the attention layers that get heavier at high context are all on the 3090).
That’s the beauty of these MoEs: they’re just the right size for the “compute-lite” parts to stay in CPU RAM.
I will measure it tomorrow. It is a constant ~9-10TPS for short queries, but definitely slower near my current max context of 85K.
And do you mean prompt compaction? I don’t automate that; when I use that particular model, I tend to use it in Mikupad, aka “raw” notepad mode, and manipulate the context directly. This is so I can do things like chop out conversations, pick different tokens from the logprobs, or edit its own replies/thinking and continue mid reply.
I like manually handling this because, being a local model, prompts are cached. Streaming starts quickly if most of the prompt stays cached, which is actually a really nice advantage over APIs.
I don’t have a problem with AI. I have a problem with vibe-coded apps released as a one-shot and then never maintained or supported. That’s slop.
I also have a problem with the trace apps (lifttrace, nutritrace, etc.) because while they’re entirely vibe-coded, they are actively developed, but they’re posted here by a brand promotion account that doesn’t otherwise contribute to the community. If there’s any “x% self-ptomotion” threshold, they fail it, because it’s 100% self-promotion.
I know I also reported another post as slop recently but I don’t remember what it was.
Yeah. Abandonware isn’t cool generally
Honest question intended to spark discussion.
Does this mean that all “single developer” projects can be considered abandonware (that aren’t open source/forkable)?
Or really “all” non open source software really. Companies “can” die.
i want a community where AI is not tolerated at all. ai is a corporate grift and there’s no room for it in a self built community founded on resistance of the tech status quo
