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.

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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?

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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.

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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.

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.

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.

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

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.

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

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

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

"Shieldstral" is an awkward and bad name