I'd really like to see more conversation around Mistral's models. It's good to see Europe developing AI.
BlackRabbit1•Aug 4, 2026
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•Aug 4, 2026
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•Aug 4, 2026
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•Aug 4, 2026
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•Aug 4, 2026
> 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)
Mistral needs to abandon their Everything-stral branding. Getting kind of lame.
"Shieldstral" is an awkward and bad name
braiamp•Aug 4, 2026
That naming only works if you commit to the bit even when it doesn't make sense. That builds branding.
simlevesque•Aug 4, 2026
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.
cyanregiment•Aug 4, 2026
Was this one the last stral for you?
The stral the broke the camel's back?
whythismatters•Aug 4, 2026
The shortest stral has been pulled for you
vardalab•Aug 4, 2026
Says who? I kind of like it.
ranger_danger•Aug 4, 2026
There can be other valid perspectives than your own
fastball•Aug 4, 2026
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•Aug 4, 2026
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.
mosura•Aug 4, 2026
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.
petcat•Aug 4, 2026
> 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•Aug 4, 2026
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•Aug 4, 2026
> Some of the best social media is heavily moderate
Heavily moderated by humans with discretion.
Not AI chat bots following a rules engine.
winwang•Aug 4, 2026
Wouldn't discretion "just" be a really good rules engine?
colechristensen•Aug 4, 2026
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.
baq•Aug 4, 2026
> Heavily moderated by humans with discretion.
Pretty sure both of the above have extensive automation in their moderation.
LunaSea•Aug 4, 2026
No, they are moderated by arbitrary company moderation policies not humans with independent thoughts.
AI can do exactly that.
tsss•Aug 4, 2026
I'd rather be censored by an AI than a reddit mod.
cinntaile•Aug 4, 2026
Another commenter already mentioned that it's more likely a lack of compute and funding that forces their hand to focus on niche tasks.
mcintyre1994•Aug 4, 2026
> 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•Aug 4, 2026
> 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.
hypfer•Aug 4, 2026
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.
elianaive•Aug 4, 2026
I'm a bit doubtful that a black box approach like this to moderation will ever catch on.
pwython•Aug 4, 2026
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•Aug 4, 2026
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.
8 Comments
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.
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)
"Shieldstral" is an awkward and bad name
Naming things is hard.
The stral the broke the camel's back?
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.
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.
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.
Heavily moderated by humans with discretion.
Not AI chat bots following a rules engine.
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.
Pretty sure both of the above have extensive automation in their moderation.
AI can do exactly that.
I think that's the main service that xAI provide for X.
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.
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.