This model is way small for a proper assessment (imo). It should be very useful to study how big the real model must be for this purpose. Maybe merging it to a bigger one (adding it as expert style in moe) would be a solution! Great job to Mistral team.

I would be curious if this can do moderation with an arbitrary ruleset, or if it's just "that one moderation style" we already know from current big tech platforms.

The kind where malicious intent is okay if the words are nice.

___

Or, rephrased: How big is the space in which you can tune this model without retraining.

Is it just "we hate sex"/"we don't hate sex" "We hate violence"/"we don't hate violence" or is it _truly_ as flexible as claimed?

__

Maybe something like "Is this guy a corporate fraud that is going to waste my time with performative nonsense?"

That would be the true test for a moderation model and I would be immensely impressed if it could manage to pull that off.

___

Edit: Looking at the paper though.. probably not.

I suppose this is useful for B2B, which seems to be mistrals whole thing. Question is just if it is also useful for society to hand the SV prefab morals down like that. Kinda like cultural imperialism but with an ethical spin.

Maybe opinions on those base datasets could occasionally differ more than the model can be steered.

how does this compare with https://developers.openai.com/api/docs/models/omni-moderatio...

Should've called it Safestral.

Also I do like Mistral's seemingly newer strategy of focusing on smaller, more fine-tuned models for various use-cases, presumably the result of their large MoE models not competing effectively with the frontier models.

• himata4113

  today at 8:05 PM

  It's not that their strategy is to train smaller models, it's the only choice they have. Training SOTA takes anywhere from 1.5b to 150b. We don't know the real cost of training for the chinese models, but mistral neither has the compute nor money to do that.

  • lucrbvi

    today at 9:08 PM

    Mistral has the capability of training such models. Take a look at Poolside[1], they are claiming to pre-train their Laguna series of models on 4,096 NVIDIA H200 GPUs[2]. Mistral has approximately 13,800 NVIDIA GB300 GPUs, which are nearly 2x more efficient for training.

    The problem with Mistral is that they do not seem to have aligned incentives to train big open-weight models, even if the teams would like to.

    [1]: https://poolside.ai/ [2]: https://poolside.ai/blog/introducing-laguna-s-2-1

  • maelito

    today at 9:00 PM

    Do you have a reference explaining these costs ? Part by part.

Model: https://huggingface.co/mistralai/Shieldstral-1.0-3B

I've had dreams of building something in the image sharing or social platform realm, but stopped short of planning because of obvious content moderation responsibilities. This seems to be a realistic, cost effective solution to that one piece of the puzzle.

• kergonath

  today at 8:34 PM

  I am not sure how reliable it is in the real world. Also, in terms of liability, I don’t know how effective it would be to satisfy various regulations compared to a human moderator team.

  • today at 9:07 PM

  • pwython

    today at 8:50 PM

    I hear ya, but one could set different operating thresholds: auto-approve low-risk posts, hold ambiguous posts for review, and automatically reject very high-confidence violations. So HITL for sure, but MUCH less H in the L.

Finally an AI company besides DeepSeek taking economics into account.

Someone should use this to do the exact opposite of the intention: filter for “offensive” content, and boost it or collate it into a newsletter/email blast for people of culture.

You have to give it to Mistral they do at least know what the market near them says they want right now. The great problem is in a few years of this that market won’t be worth anything.

Edit to add, you could also add this to an AI workflow so as to produce content that walks right up to the line but doesn’t trigger it.

• mcintyre1994

  today at 8:20 PM

  > filter for “offensive” content, and boost it or collate it into a newsletter/email blast for people of culture.

  I think that's the main service that xAI provide for X.

• kergonath

  today at 8:35 PM

  > The great problem is in a few years of this that market won’t be worth anything.

  To be fair, we don’t know how much resources they put into this and how much of a distraction it was. If it was quick enough to train or fine tune and it brings them valuable experience for the next models, it could well be worth it in the long run even if there is no direct successor.

  • pebbly_bread

    today at 8:41 PM

    Also, it sounds like the kind of thing that sells. Any company with a customer support chat is a potential user of this model, any large company may be interested in getting a mistral installed set-up for handling without needing to send client info over the web. Installing those kinds of local systems seems to be what butters Mistral's bread at the moment.

• cyanydeez

  today at 8:55 PM

  this just sounds like new age edgey mc lordy lord. I get censorship is bad but ya'll might want to concern yourselves with a bid less fascism before you worry about the bad words police.

• petcat

  today at 7:28 PM

  > they do at least know what the market near them says they want right now

  It does seem to be a very European approach to AI that their flagship AI lab is just making models that do nothing other than monitor and moderate internet content.

  I guess they know that the EU AI Act, Chat Control, etc are going to cause a lot of companies to need this kind of compliance.

  • lava_pidgeon

    today at 7:32 PM

    Some of the best social media is heavily moderate. This includes HN and r/credible defense . With a Quiet transparent and cheap LLM I imagine a social media website where you can have good discussion about everything around the world it would be a game changer and on my to-do list.

    • petcat

      today at 7:33 PM

      > Some of the best social media is heavily moderate

      Heavily moderated by humans with discretion.

      Not AI chat bots following a rules engine.

      • winwang

        today at 7:38 PM

        Wouldn't discretion "just" be a really good rules engine?

      • LunaSea

        today at 8:00 PM

        No, they are moderated by arbitrary company moderation policies not humans with independent thoughts.

        AI can do exactly that.

      • baq

        today at 7:52 PM

        > Heavily moderated by humans with discretion.

        Pretty sure both of the above have extensive automation in their moderation.

      • colechristensen

        today at 7:41 PM

        The bulk of moderation work is things which are easy and obvious.

        The correct way to moderate is automation with certainty falling back to humans with discretion.

        The new frontier of moderation should be blocking illiterate comments, as in the commenter is replying as though they didn't read or read and didn't understand.

      • tsss

        today at 8:01 PM

        I'd rather be censored by an AI than a reddit mod.

  • kergonath

    today at 8:41 PM

    > It does seem to be a very European approach to AI that their flagship AI lab is just making models that do nothing other than monitor and moderate internet content.

    Well, first Mistral is French more than European. This might be a difficult distinction to make from the US but their approach is quite different from e.g. typical German companies.

    Then, this is just a small model they release on the side. If that’s your benchmark, they released somewhat recently Voxtral, Voxtral transcribe, their OCR model, and Leanstral. I don’t think you can get much insight on their culture from this kind of release.

  • cinntaile

    today at 8:19 PM

    Another commenter already mentioned that it's more likely a lack of compute and funding that forces their hand to focus on niche tasks.

  • gspr

    today at 8:57 PM

    Ugh. There's nothing inherently European about Chat Control. It's a dumb proposal, and it's European. Any free society has a bunch of dumb proposals.

    Nor is there anything inherently European about the AI Act. But that one I wouldn't even call dumb. At times misguided and confused, perhaps, but some of its core principles are valuable.

I'd really like to see more conversation around Mistral's models. It's good to see Europe developing AI.

• BlackRabbit1

  today at 7:00 PM

  The problem is that their performance is too far away from the latest generation of Asian models.

  They had kept up in the mid-range a few years ago. But this standing is sadly long gone.

  If you need a fast Opensource'ed LLMs you can go for EU-hosted DeepSeek or Qwen.

  • yborg

    today at 7:37 PM

    By this logic the Chinese should have just given up and let the American AI companies have the market because they were so far behind. I'm sure Europe has the capability to distill other people's frontier models to catch up if they wish to do so.

    • baq

      today at 7:55 PM

      Distilling is unsafe from export control perspective - Chinese models are poisoned by US frontier distillation and a case can be made that the US won’t like distilling what they may consider transitively theirs, which they will the moment you’re anywhere near competitive.

      • LunaSea

        today at 8:02 PM

        US judges have already rules that output of an LLM can't be copyrighted so not sure what would prevent Chinese companies to use said output for distillation purposes.

        • NitpickLawyer

          today at 8:15 PM

          > already rules that output of an LLM can't be copyrighted

          Mind sharing such cases? I'm not aware of any so far. There's the one with images, but that's commonly miss-understood, that case was ruled on a technicality (i.e. copyright needs to be attributed to a person, not a model)

          • Me1000

            today at 8:28 PM

            https://www.copyright.gov/newsnet/2025/1060.html

        • baq

          today at 8:19 PM

          Note I didn't mention copyright

          • kergonath

            today at 8:48 PM

            By which other mechanism could American AI companies prevent this? Other companies don’t really care about EULAs and even if they needed to care it’s trivial to let third parties do it. Why would they? Almost nobody in the space cares about copyright and play fast and loose with laws and regulations.

            What’s the mechanism that could today prevent other companies from using LLM outputs to train their models?

      • kergonath

        today at 8:44 PM

        > Distilling is unsafe from export control perspective

        That is not the direction American judges are taking. Right now, they are saying that LLM output cannot be copyrighted. And if looting copyrighted works for training is fair game, I really don’t see how one could argue that learning from other LLMs is not.

• cyanregiment

  today at 9:00 PM

  I'm from nor cal but always liked Mistral.

  Mistral 7b is still one of the best free/open models you can run locally on a MacBook. So fast too.

• selectively

  today at 7:19 PM

  [dead]

I'm a bit doubtful that a black box approach like this to moderation will ever catch on.

• MagicMoonlight

  today at 9:01 PM

  [dead]

[dead]

Mistral needs to abandon their Everything-stral branding. Getting kind of lame.

"Shieldstral" is an awkward and bad name

• bee_rider

  today at 9:03 PM

  Their web chat UI seems to be called “Vibe.” I think? I’m not sure if that’s the name of the product or just what they decided to label it in the browser. I wonder if -strap is just what they call the actual models, which are meant to be run “under the hood” anyway, so not really part of the branding.

  But I wish they could commit to the bit fully and call everything -stral. It’s quirky and self aware to give your products silly names.

• braiamp

  today at 7:00 PM

  That naming only works if you commit to the bit even when it doesn't make sense. That builds branding.

• cyanregiment

  today at 7:35 PM

  Was this one the last stral for you?

  The stral the broke the camel's back?

  • whythismatters

    today at 8:02 PM

    The shortest stral has been pulled for you

• simlevesque

  today at 7:34 PM

  People complain when a product use a familiar name that might collide and there's also people complaining when they invent new words altogether.

  Naming things is hard.

• vardalab

  today at 7:59 PM

  Says who? I kind of like it.

• ranger_danger

  today at 8:10 PM

  There can be other valid perspectives than your own

What else to expect from an EU company than regulation? More of moderation, more of censorship, more of limitation on anything.