Context: After careful research our organization preferred a European partner with good central privacy controls. We landed on Mistral, after being disappointed that the Pro tier was opt-in to training on prompts by default we switched up to the Team tier which provides an organization dashboard with some relevant settings. As we did that Mistral changed these options and the Team tier was now also opt-in by default and at the same time seemed to have lost the ability to centrally disable training on prompts for your entire organization. This even caused some of our (testing) prompts to be used for training (which Mistral removed after we expressed our disappointment).
For some time these pages conflicted with what our users reported (they said that in contrast to what I stated to our management they found they were opted into training on prompts by default as per their own privacy page). Mistral just now corrected their docs. I'm not sure how long the conflicting situation has lasted, but at least for several days.
For contrast: Claude disables training on prompts for organizations starting from the 18 euro tier [0]. As a European I'm disappointed.
> and at the same time seemed to have lost the ability to centrally disable training on prompts for your entire organization
There is a toggle on https://admin.mistral.ai that allows you to disable training for both Vibe and Console/API for your entire organisation. And I'm not on the enterprise plan. I've disabled training the first time I created an account, and it has remained that way.
You story is also very confusing due to the wording around "opt-in by default" and "disappointed [about] opt-in to training" (most people would be disappointed about an opt-out) and probably conveys the wrong message to most people.
I don't have that toggle (but could indeed have sworn I saw it earlier).
Sorry, I have always thought that "opting in" is, "opting for the presented option" and opting out is "opting out of it", so opting out [of sharing prompts for training] is choosing to not share, but apparently I was wrong my whole life. I'm not a native speaker, and I think most people here (in my country) would interpret this the way I do? Weird but TIL.
FWIW I don’t find what you wrote confusing, but I do think it is following a sort of… bad convention that some companies have been pushing.
Opt-in and opt-out describe the nature of the choice that you make. “Opt” means to choose (apparently it is a French word we stole). Opt-in means you have to proactively choose to be in. Opt-out means you have to proactively choose to be out. “Opt-in by default” is an overly verbose way of saying “opt-out.”
In either case it describes the choice that you need to proactively make to override the default behavior.
Edit: I should also say that it is a “known point of contention” where pro-privacy people have been pushing back on this phrasing. So, you have probably accidentally stumbled into an ongoing discussion, which is why some of the comments might be unexpectedly prickly.
>Edit: I should also say that it is a “known point of contention” where pro-privacy people have been pushing back on this phrasing. So, you have probably accidentally stumbled into an ongoing discussion, which is why some of the comments might be unexpectedly prickly.
Yes, because people will say that something should be opt-in, meaning off by default, and then someone makes it on by default and says 'oh, it's opt-in, you're just opted in by default!'
I 100% agree that “opt-in by default” is bad and that “opted” in that sense is a bullshit incoherent phrase. Unfortunately this “opting as a thing that happens to you instead of a choice” idea has evidently been promoted well, so we have to expect that people will unknowingly use it.
If you opt in it means that by default you're not in and you chose that option. So if you're now included in training by default, then it's an opt-out feature as in you can opt out of it.
Allow the use of your API calls to train Mistral’s AI models.
Enable Labs models
So indeed, no "Allow the use of your interactions with Vibe to train Mistral’s AI models". I only see that setting here: https://chat.mistral.ai/chat?profile_dialog=privacy
And I have to ask every user in my org to go and turn it off.
I think there is a simple, unambiguous way to describe this, which is to use the passive voice or an explicit subject with the past tense to clarify that you didn't do the opting in.
Saying "we were disappointed to be opted in to training by default" clarifies the point you're trying to make, which is that the toggle (whatever it may be called) was set to training by someone else, not you.
Actually in your case you'd say "...after being disappointed that the Pro tier opted us in to training on prompts by default", which gives an explicit subject ("the [Mistral] Pro tier"). No one will confuse that with the opposite "the Pro tier opted us out of training on prompts by default".
“disappointed that the Pro tier was opted-in to training on prompts by default” [and required manually opting out]
“the Team tier was now also opted-in by default” [and required manually opting out]
In context of each sentence and the larger comment, read smoothly here.
Also - have seen more than one lively discussion on these phrases, since defaults can stick 95% of the time and Big Tech has done their best to be abusive about what they automatically enable for users by default for some time.
It's understandable but it is technically inconsistent and dilutes the meaning of opt-in. Opt implies an active choice, so you never are opting for the default.
It's also simply bad writing regardless of what meaning the reader takes from it. "Enabled by default" or "Allowed by default" are much clearer and more natural phrasings without any connotations of the user having taken an action to express a choice.
I'm so burned out on the bullshit companies that succeed in tech forcing their will upon us serfs that I'm actively looking into that very thing at this time. Tech used to be fun. Now it's just depressing. I'm ready to go back and take the blue pill.
That is ridiculous. Vote to ensure products have to be legally private and make it a crime to share or reuse your data for anything. This should be the norm that people vote for. The idea that we have to give up privacy so some nerdy pervert can be a billionaire off the backs of people who do the work is absurd.
Criminalize failure to keep private data private. Arrest CEOs and executives. Put them in jail when it happens.
Yes, individual indeed (used to different but changed about a year ago, see [0] among others].
For the Team and Enterprise plans de default is "not sharing prompts for training" (which I mistakenly referred to as opted out of sharing prompts for training.) [1]
Because they have no incentive as a company to do that?
But do have a strong incentive to learn from user input.
(Most cutting edge features are developed private - very valuable to get that into your tool)
And getting the data is not hard, they already have it.
Risky is indeed a bit making use of that data, as that requires at least some humans (as potential whistleblowers). But you don't even have to tell them, where the data came from.
Whether they do it? No idea, I assume not, but I see a risk.
We can easily make it a crime to collect the data and another crime to share it or store it in a way that allows someone else to copy it, authorized or not.
People always want to overcomplicate everything to benefit 5 super rich people that got rich taking wages from workers and ripping off retail investors. Please stop the pandering. Vote for yourself and your neighbors, don't vote to eliminate privacy so a rich pervert gets to exploit you.
I don't trust any of these companies with my data, and I assume that whatever data they've got is going to be used, one way or another, no matter what they tell you. It would be nice if you could stick a sentinel in your data that if it ever shows up in the models you know they've broken the rules for sure.
Today I registered a free account with Grok, because I simply was curious. Man, training is "off" by default even with the free tier. I was positively surprised. As a European I'm disappointed too.
Grok has possibly the worst ToS of any of the AI providers.
They are probably different in the EU, but:
> In choosing to submit, create, generate, record, post, or display Inputs on or through the Service, you grant an irrevocable, perpetual, transferable, sublicensable, royalty-free, and worldwide right to SpaceXAI to use, copy, store, modify, process, adapt, transmit, distribute, reproduce, publish, upload, download, display in public forums, list information regarding, make derivative works of, and distribute such Content, including anything referenced therein, in any and all media or distribution methods now known or later developed, for any purpose, and to aggregate your User Content and derivative works thereof for any purpose, including but not limited to: (i) maintain and provide the Service; (ii) improve our products and the Service and for our other business purposes, such as data analysis, customer and market research, developing new products or features, or identifying or displaying usage or User Content trends; and (iii) perform such other actions to enforce these Terms, comply with our Privacy Policy, comply with applicable law or governmental, court, and law enforcement requests or requirements or keep our Service safe.
> To the extent the User Content includes a person’s image, likeness, voice, or other similar attributes, you grant SpaceXAI the same rights to use those attributes as part of the User Content as described above. You represent and warrant that you have obtained all rights, licenses, notices, permissions, and consents necessary for SpaceXAI to use that User Content.
"A bug in our portal had the setting for training inverted. This means that when you expected us not to be training on your data, we actually were.
We know this adversely impacts the trust our users invested in us, so as of today we are crediting all affected accounts with $200 to use on our latest models".
You are "opting in to sharing your prompts for training", by default in this case. My slider says: "Allow the use of your interactions with Vibe to train Mistral's AI models.", it is on by default for everyone on the Team plan, the admin can't centrally turn it off anymore, and any user can toggle it when they want to. This all changed last week.
I know I'm naive but I expect that when I pay, this stuff is simply off, so I was already surprised by the Pro plan. But I did look out for it there, because Anthropic made this switch some time ago.
> You are "opting in to sharing your prompts for training", by default in this case.
The English term for that is "opt out" not "opt in." To opt is to choose. If something is on by default, you have not opted in. You were forced in, and turning it off means you must opt out. (I.e., choose to be out.)
normally I wouldn't care about a mistake like this, except that opt in/out are very important concepts in software development and hacker culture. And it reversed the meaning of the original comment in a highly confusing, relevant way.
as another non-native speaker, i think that while the person you're answering to didn't use the default way of expressing this in the english-speaking world, i did understand what they meant, i think they do know what opting means and i think the reasoning is this:
when they say data collection is "opt in" by default they mean that by choosing to use a product, you are opting into your data being collected (at the same time).
on the other hand, native speakers saying something is "opt out" describes the options or toggles one has available in the default case - when something is toggled "true", you (only) have the choice to toggle it of.
so english speakers talk about the controls one has to CHANGE the status quo.
They said "opt in to training on prompts by default," which is coherent English and perfectly fine. The phrases "opt in" and "opt out" will always be contextual based on what is being opted, so it really falls to the reader to pay attention to that context. Please don't give English language advice as though you are an authority; there is not a rule of the English language that would make their usage unacceptable.
Since the whole idea of ‘opt in’ is choosing to do something, the only reasonable interpretation of ‘opt in by default’ is that the default state requires you to make the choice yourself. However I try to bend my brain, sing the term ‘opt in’ for the exact opposite makes no sense whatsoever.
Note that I’m not using English grammar as my argument; human language (and English especially) has plenty of exceptions and expressions which make little sense, and if people were to adopt this phrasing en masse, it would naturally become a part of the language, whether it makes sense or not. My argument is that adopting this phrasing is a terrible, user-hostile decision and in my honest opinion we really, really, really ought to avoid it.
I read it as though he was trying to say '[you are] opt[ed] in by default'.
Now granted, he did not say that, and I only reached that conclusion by the rest of this conversation, but I think to have meant that and said '... was now also opt-in by default...' isn't unreasonable.
Just sharing since you mentioned you couldn't see how using that term for the opposite would make sense.
> being disappointed that the Pro tier was opt-in to training on prompts by default
"Opt-in" means that the default is non-participation, for example, not training on your prompts. Is it possible that you intended to say "opt-out", which means that the default is participation? That's what the context seems to suggest.
You have to be rather naive if you don't think these companies don't simply train on your prompts with or without your consent. They literally scrape everything - legal or not - and claim its fair use to train on, including straight piracy
The idea that they'll steal from everyone except you is just wishful thinking
This is why these companies paying subscriptions shoveling everything into Claude thinking "oh, they're not training on our stuff" is hilarious to me. Of course they are. They probably are extra super-duper sure not to have Claude admit to that in any way, but there's no way they're giving up training on the sum total of both open and closed source code out there.
> the legal protections for the consumer is much higher
You know you give away the right to file class action law suits against Anthropic when you accept their Terms Of Use, right? (at least the Americans ones)
If you have an enterprise contract with them you're still unlikely to ever know that you've been lied to unless some whistleblower at the AI company comes forward and even if you do somehow find out, it's too late. Once they have your data and have trained on it there's no taking it back. At most they'll pay out some tiny settlement that's a fraction of how much money they make in a week and they'll continue to profit from your data forever.
Pinky-promises, embarrassing. I'd point to tinfoil.sh. I'm not a shill for tinfoil, I haven't even used it or looked past its homepage really, but if we are able to legitimately secure privacy, then training data questions are moot (and the market for training data would probably shift/expose).
It would be catastrohic for any of the big labs if it came out that they were training on what was sold as private.
I get this cynical conspiratorial energy, it fits the internet well, but I can assure you most people with even mild business sense would be intensely opposed to this idea. Well, except maybe Zuckerburg, but they don't really do enterprise anyway.
It wasn't "catastrophic" for the largest of the 3 US credit reporting agencies when their entire dataset was breached. The company is 100% IP and the only value they have was completely copied. Their largest value is to verify identities by the things Americans know (KDB) and after that "single factor of identity" was 100% compromised, the company only got bigger and more contracts.
When there are only 4 competitors in the large scale foundation model business and they all throw caution to the wind because they are racing to own the "$30 trillion TAM" they are all going to make critical security, RBAC, and segregation mistakes.
Both ChatGPT and Claude threads marked for sharing have been indexed in Google at large scale. This is incredibly easy to tell Google crawlers via robots.txt not to crawl those URLs, but nobody at either of these uber unicorns could be bothered to add that one pattern to the one file.
And all of the skepticism here is about verifiability. The foundation model companies are liable for potentially more the companies are worth if found to be violating copyrights of content used for training. They aren't going to make it easier for lawsuits against them by detailing their data ingestion into training pipeline.
The credit reporting agencies lost the data of normal people, they didn’t lose their customers proprietary internal data. The credit agencies didn’t loose or misplace their customers data, so obviously their customers don’t really care that much, and the credit agencies weren’t sued into oblivion.
But I can guarantee you that if a companies internal data got leaked or misused, then every single enterprise customer of that lab would turn around and start suing them. As an enterprise customer you would be foolish not to, if only if figure out via discovery just how badly you got screwed.
You want to see how nasty that can get. Just go and look at what Apple is doing to OpenAI at the moment. Do you really think Apple wouldn’t find a way to sue a lab into oblivion if they discovered a lab had secretly started training on their data?
You can structure it so that it becomes accidental.
1. Ensure security barriers are weak or honor based.
2. Put individual researchers under a lot of pressure.
3. If you get caught, blame the weak barriers, or the individual researcher.
Basically setup the incentive structure to incentivize researchers sticking their mittens in the private cookie jar while putting the cookie jar in a dark unmonitored/unsecured room with a sign on the door saying please don't enter.
exactly, I don't understand how HN doesn't understand this
by this logic every business contract in tech is just a bunch of lies and means nothing and the only way to do anything is to have a server sitting next to you, otherwise it's "someone else's computer"
I mean, they've already violated the law in acquiring all their training data already, why would they be uncomfortable violating a contract to get more training data?
Because violating the law was the prerequisite to starting their business, without it they're worth $0 and have no models. They've already survived Training on customer input may help the models but it isn't "bet the farm" helpful. Now, they have a thriving business, so they shouldn't risk their business for incremental data that they can buy.
At this point, the reputation of the business matters too. Fable explicitly didn't support zero-retention usage, and it saw significantly lower adoption vs other flagship models, and their past releases. Being caught abusing enterprise contracts is really hard to dig out of.
It would be catastrophic if they violated confidentiality blatantly, but that doesn't exclude learning of any description. For example, an ordinary human being can't fork a subagent for a particular client and wipe it afterwards. Humans can't stop themselves learning, so confidentiality can't ban all learning.
Instead, confidentiality includes not literally copying material, not using trade secrets or inventions, and not using knowledge of business dealings for your own purposes.
So, while I fully expect that the big labs don't train on private material to the extent that they do those things in a blatant way, it would not be surprising if they pushed the boundaries. Humans push the boundaries all the time.
Up until now, machines did not have judgement, so if you set up a machine in such a way that you hadn't ensured it couldn't violate contract, you were culpable. But now that they have some kind of judgement, maybe it's enough to avoid liability to tell it to obey the contract, even if you give it incentives not to. After all, that's how it works with human employees, isn't it?
Perhaps now we have machines that understand language, someone somewhere is working on getting them to understand "a nod and a wink" as well.
I pay for a subscription to Duck.ai mainly because I don't want to be constantly fighting my vendor to protect my privacy.
Microsoft already did a rug pull on me and opted me in to training months after I signed up with Github Copilot. It exhausting and ultimately futile to monitor these companies.
It's not guaranteed that Duck.ai will continue to uphold its promise of not training on your sessions — if the company gets bought by Microsoft, it's only a matter of time before the switch to "you can opt out at any time". But since privacy is Duck.ai's brand, it will be somewhat harder for them to hide what they're doing should they betray their customers.
I also don't actually trust that Duck.ai sub-vendors OpenAI and Anthropic will uphold whatever contract they have with Duck.ai — the whole AI business model is built on lawless consumption of others work.
We'll ultimately have to run our own models locally, because it's impractical to defend against untrustworthy AI vendors.
I also pay for duck.ai's service. They're my main "chat bot" thing, and while I had already been paying for their other services when I discovered I also had a duck.ai subscription, I choose to use them primarily because privacy is their whole brand. I only have two minor complainst: I want my conversations to sync between mobile and desktop (while being E2E), and I want a way to organize conversations into "projects" or grouped chats.
The page title is "Can I opt out of my input or output data being used for training".
Right at the top of the page it says "In certain cases, your input and output data (such as conversations, documents, and other user-provided content) may be included in Mistral’s model training programs. You retain full control over this processing and have the right to opt out of these programs at any time."
"Of course we'll randomly turn that option off for you aka FB style and hope you don't notice. There is zero legal liability for us doing so, so why wouldn't we".
"No model training on your content by default" [0]
It's not the default on any Team plans and didn't used to be at Mistral (until last week or so). The team plan has a central admin role and page, and "seats".
And if it was the default, then I'd still expect a big button to turn it off for all seats, and not have to ask all user separately. But this changed over night and that button is not there. Although I expect it used to be, because some people here report that they have it.
Agreed. I read the title as they would start using my data for training and I couldn't opt-out. After looking at the page and checking my app (I have Pro subscription) it seems like I can opt-out and my initial opt-out when I subscribed was preserved.
When I started my search for an AI "partner" the Mistral TEAM plan had "use my prompts for training" turned off by default, as per their docs in multiple places. I could have sworn I saw a organization switch in my dashboard for this setting org wide, but am not sure.
I start the subscription, users report it is "on" by default, I ask support what's up, they say "sorry, docs should have been updated earlier but they are now". And they give me a lot of credits.
I just want to warn people, the Team sub just changed, docs were update too late, there was very little press about this (in my view) very important change. Actually, it is so important that I would not advice Mistral to our management if they'd use our prompts for training, so I take a TEAM sub so this is disabled for sure, or I can disable this org wide. But I can't anymore, now I have to ask each user/seat to disable sharing, and hope they do, I have no way to check. Way to inspire confidence. And their response: "You can still do this with the Enterprise subscription".
We flamed Anthropic for their switcheroo with their personal Pro plan a year ago [0], now Mistral does it with their business focused Team plan, so they deserve some fire imo.
For all the people here alleging that AI companies will train on your data even when you as a user explicitly opt out of training and their terms say they will respect that, etc - do you also believe that within a few years of them having harvested your data, you could perform "knowledge probing" on their models by prompting various questions that determine if they can near-verbatim reproduce your unique data, and then have enough other people do the same that you can then just launch a class-action lawsuit? Because if not... I've got a startup idea for you.
Maybe they realized that they were falling behind too much? To me it seems like user-feedback on bad descisions by the AI once it's trained to a basic level is among the most important signals in tuning the model to perform better.
That's what I believe. Once you have scanned every passive source available, using the user conversations to e.g. find common paths to a solution and shortcut them would seem natural.
Paths and shortcuts isn't the most important part here I think, rather negative signals about unfitting choices is more important, do we use algorithm/library/etc XYZ in this situation or not, the developers using it would provide the context suitability of options on a more finegrained level than resulting (semi-)public artifacts provide.
You must have not been keeping up with the times :)
Their big play this year was to write a "whitepaper" on the future state of EU economy, which is something that they'd like to hand of to EU leaders and part of that proposal was some kind of mandatory 10% sovereign AI spend, or some other nonsense like that.
They are, at least, trying to make big enterprise (with tailored models, custom integration) and government policy plays.
That just goes to show you how ineffective they are as well at making AI click as a usecase.
And when they don't get ahead by their own terms they copy what they see ongoing with US AI labs. Le Chat, and Vibe.
The same mistral that has a patent for "code implemented tool calls"https://news.ycombinator.com/item?id=49243397#49243588 and said "Companies selling artificial intelligence models in Europe should pay a "levy" to support cultural industries".
They seem to get a lot of slack just because they're European but every new article I see about them makes my opinion a little worse
To have at least a choice of using a European trained model. Downloadable weights is not open source. Mistral is able to respond to any regulatory queries about training data and concerns.
To be honest, I have a hard time noticing differences with Claude (in Kiro) and Mistral Vibe, at least with what I use them for. They simply feel like talking to the exact same thing.
Mistral OCR is really good and their small models are great for simple translations, I use them regularly.
Of course I’m not always on the most bleeding edge forefront of the latest hyped model so there might be better alternatives, but I’m happy with what they provide
EU companies can download GLM or Kimi-K3 and get way better performance, though? I don't see any case for using a Mistral model when much better open models exist.
Because not everyone has the infrastructure to run that with better performance? Anyway, Mistral serves GLM 5.2 through their global and European endpoints, so if you wanted to leverage their services and use a more powerful open model, that seems to be an option.
The OCR stuff is quite usable. Their models perform good at some very basic tasks, so I use them to diversify. But their current model lineup is really terrible.
I'd like to provide extra context to help with training. Like, here's my codebase and the logs and the docs, feel free to ask me questions about it... Whatever makes the next version more applicable to the problems I'm trying to solve would be excellent.
I just wish I could force them to share it with their competitors also.
Submitted title was "Mistral now trains on user input by default, except on enterprise tier". THat's good information (if true) but best suited to a comment in the thread rather than the title (https://hn.algolia.com/?dateRange=all&page=0&prefix=false&so...).
How many times with large companies have you found that they removed the old opt-out value and put a new one in that is enabled by default because of course it's opt-out?
Opt-out doesn't mean dick when the regulatory environment allows them to do things like the above without any recourse. Of course you can go to any other company that follows the exact same rules if you'd like.
Tbh there is much more regulatory pressure on EU AI companies than US/China - of course you can only use local models which Mistral actually releases unlike the US alternatives.
So out of all the bad options this still seems to be one of the best
I'm curious what regulatory pressure there is on EU AI companies that wouldn't apply to many of the US firms. The AI Act and GDPR still apply to the tech giants since they operate in the EU (e.g. Anthropic watermarking). There are labor laws that are definitely more strict but many of the US firms have operating presence in the EU as well. I imagine that being directly in the EU probably does increase regulatory oversight but I'm curious how this would manifest in Mistral in particular.
Regarding local models, Gemma, GPT-OSS, Nemotron, and Inkling (maybe upcoming Muse series as well) all are fairly decent options at a variety of hardware costs.
These laws apply to US companies in a more limited way because if we fine them too much they complain to US government that other countries have laws they have to follow. And then the US government intervenes to protect their money and data/intelligence extraction machinery (big tech companies). Usually with at least partial success.
Defaults matter. The expectation for an organization tier plan is not that you have to go and ask each user in your org to please turn off "Allow the use of your interactions with Vibe to train Mistral's AI models" before starting your work.
They don’t switch it for you probably, that would be very bad. But the default for new users and orgs on the Team plan just changed. But they didn’t update the docs for a while which left me confused as I started my subscription after they switched but before they updated their docs.
I remember this being the default for a while already. When I signed up and got an API key, I remember I did turn off the training option specifically, so it must have already been a default to have training on input on.
This is about the Team plan specifically, which was like enterprise before. And it’s about the removal of the option to disable training on user input for all users from said plan at the org level, all last week.
Question: when AI companies say they don’t train on your input or output, do they mean that they don’t train on an extremely simple AI rework of your input or output as well?
> Vibe (Enterprise): customers are opted out of training by default
So they made it opt in for enterprise (how it should be), but intentionally made opt out for regular user.Basically saying "screw you: to regular users.
I think you would be hard pressed to find any relevant tech company that doesn’t have a relationship with the Saudis or is funded by them - or any government for that matter…
I'm really hoping Mistral will succeed with their open models, so I'm a bit biased, but I don't have any affiliation. This submit is a bit of well-meaning but confused scaremongering however.
Mistral has had, and continues to have, a toggle in the admin settings that permanently disables training on your data. The option has not been removed, and previous opt-outs are still honored. As far as I know, Mistral always trained on your data by default except for the enterprise plan, with the option to disable it on all plans, and with the option for organizations to make the choice for all your users.
Kagi Ultimate still uses mostly closed models by OpenAI / Anthropic, etc.
There is no toggle in my admin settings to disable this for the whole org (when on the Team plan). If it was there before they recently removed it.
"Mistral always trained on your data by default except for the enterprise plan" - This is not true, until last week all docs stated that the use of your interactions with Vibe to train Mistral's AI models was off by default on the Team plan. Now that is only still the case on the enterprise plan.
My best experience with Mistral has been with their expensive GLM-5.2 model. It's actually developed by Z.ai, but unlike Z.ai, the GLM-5.2 at Mistral can be used at a low price without training on your prompts - but only if you remember to hit the privacy toggle in their admin settings.
Planning code changes with GLM-5.2 using a Mistral Studio API key and implementing code changes using the Mistral Vibe API key has worked well for me. At my basic subscription tier, Vibe will share data with Mistral. It works for me because, when it comes to privacy, I care less about the actual code and more about the planning / high-level stuff.
> My best experience with Mistral has been with their expensive GLM-5.2 model. It's actually developed by Z.ai, but unlike Z.ai, the GLM-5.2 at Mistral can be used at a low price without training on your prompts - but only if you remember to hit the privacy toggle in their admin settings.
Same here, actually. I'm American but have had a Mistral sub to supplement local models. The Mistral models, IMO, are very hit or miss, and I was about to cancel my sub until I saw they added GLM.
Thanks for the pointer! I had set up mistral a while back using pi to compliment my local Qwen usage, but I found Qwen to just be better for all of my tasks at a substantially cheaper price, and reasonably fast tps. I also tried signing up for z.ai, but they would never send me an email to sign in. Using GLM through mistral to compliment my local models seems like exactly what I want.
You can still easily disable "Allow the use of your interactions with Vibe to train Mistral's AI models." What's annoying is that they switched this to on by default on Team plans with no way to turn it off for your whole team/org, this week.
Realistically, what are the risks? I get not wanting info you provide to AI being used against you in the future, like if you are gay and move to a country where that’s illegal (or live in one where it becomes illegal), but is “training” an actual risk here?
I would assume that PII is redacted, and so beyond redaction failure, the real risk here seems to be to intellectual property and not to personal privacy.
Edit: Does “use for training” include “we store all your chat logs forever tied to your identity”?
I'd be interested in some legal/GDPR takes on PII handling in prompts. If someone enters PII into a prompt, and Mistral retains it for training, is it sufficient for them to say "don't enter PII into prompts?"
Of course with Claude and so on this bothers me too, but it doesn't seem like there's any real recourse under US law. But I would hope that "oh you shouldn't enter PII" isn't going to cut it under European law, that if I say "don't store my prompts, they include PII I don't want you storing" should be sufficient here under the GDPR and Mistral shouldn't be able to just store it anyway.
They might circumvent this by adding a prompt like "remove PII from this prompt", so I don't think it's a worthwhile route. The issue exists whether PII is input or not, like IP or secrets.
Come on, think how fast Grok evolves after SoaceXAI acquired Cursor. I just believe if you can't get enough real data from practice then you can't train a good model. And for Mistral collecting data is a must step no matter what approach it takes.
Most commenters here clutching their pearls as if Claude and Gemini Pro didn't do it already. In the latter you (as a paying customer) can't even store the chat history unless you agree to their 'improvement of services'.
Do you have all your accounts paid for by the enterprise or you never check the settings?
> Most commenters here clutching their pearls as if Claude and Gemini Pro didn't do it already.
That's not the point though. The problem is that in the minds of lots of people including here on HN or otherwise, a service based in the EU is de-facto "more" respectful of digital privacy.
You can read the comments on threads related to the EU tech where you will find people defending to the very end that privacy is better in the EU and that EU providers will never stoop as low as their US counterparts.
As always the truth is a lot murkier than that.
Yes, some services based in the EU are better in terms of privacy but it's not a given for all of them and it depends entirely on the service. Unfortunately such a nuanced take is not wildly popular in the tech world in this day and age where every US company is labelled as an evil data hungry entity and EU companies are portrayed as saints in this regard.
That's where the first problem lies.
The second problem is that for years now, people have been singing the praises of Mistral as a privacy friendly alternative the the US juggernauts because Mistral's headquarters is located in the EU and unfortunately today it seems some people are waking up to the fact that Mistral is doing the same thing than its US counterparts and they are disappointed which is understandable.
Who is to blame for this dichotomy? Is it Mistral who leaned too much on this marketing angle (the European Chatgpt without the invasive tracking/ better privacy settings) or is it the users who failed to realize that EU or not, Mistral wasn't going to pass on the opportunity to improve its models this way?
No one is saying that every US company is an evil data hungry entity and EU companies are saints.
But fact of the matter is that the US is rapidly sliding into totalitarianism and at the same time US tech companies have an hu huge influence worldwide.
I commend any alternative that comes from outside the US and also offers an “open source” selfhosted option.
I had the option, and had it disable everywhere, manually. The only one I didn't use, at all, is Anthropics service because of iffy Dario aura and their terms of service. Where is training in user data enforced and not possible to opt out?
if you sign the contract (click I agree on Terms of Service), and it says that they do not train on the data, by what right can they backtrack on that?
Maybe it is assumed that they notified you and you have the right to terminate the contract? Relying on some clause where the contract can be updated at any time. Or terminated at any time (with the presumption that a clause change is a termination and an automatic signing of the new contract, but that's weak)
I think it only goes for new users/orgs. I was caught between the time they changed the default and updated their docs. I don't believe they would alter users/organizations exiting choices. In facts, from some of the responses it seems that some still retain the toggle to opt out their entire org.
They wouldn’t dare train on language inputs from the wild, but they will happily strip out any code snippets you’re providing and sell/train on that à la GitHub/Copilot. File uploads too
Context: After careful research our organization preferred a European partner with good central privacy controls. We landed on Mistral, after being disappointed that the Pro tier was opt-in to training on prompts by default we switched up to the Team tier which provides an organization dashboard with some relevant settings. As we did that Mistral changed these options and the Team tier was now also opt-in by default and at the same time seemed to have lost the ability to centrally disable training on prompts for your entire organization. This even caused some of our (testing) prompts to be used for training (which Mistral removed after we expressed our disappointment).
For some time these pages conflicted with what our users reported (they said that in contrast to what I stated to our management they found they were opted into training on prompts by default as per their own privacy page). Mistral just now corrected their docs. I'm not sure how long the conflicting situation has lasted, but at least for several days.
For contrast: Claude disables training on prompts for organizations starting from the 18 euro tier [0]. As a European I'm disappointed.
[0] https://claude.com/pricing#team-&-enterprise
> and at the same time seemed to have lost the ability to centrally disable training on prompts for your entire organization
There is a toggle on https://admin.mistral.ai that allows you to disable training for both Vibe and Console/API for your entire organisation. And I'm not on the enterprise plan. I've disabled training the first time I created an account, and it has remained that way.
You story is also very confusing due to the wording around "opt-in by default" and "disappointed [about] opt-in to training" (most people would be disappointed about an opt-out) and probably conveys the wrong message to most people.
I don't have that toggle (but could indeed have sworn I saw it earlier).
Sorry, I have always thought that "opting in" is, "opting for the presented option" and opting out is "opting out of it", so opting out [of sharing prompts for training] is choosing to not share, but apparently I was wrong my whole life. I'm not a native speaker, and I think most people here (in my country) would interpret this the way I do? Weird but TIL.
FWIW I don’t find what you wrote confusing, but I do think it is following a sort of… bad convention that some companies have been pushing.
Opt-in and opt-out describe the nature of the choice that you make. “Opt” means to choose (apparently it is a French word we stole). Opt-in means you have to proactively choose to be in. Opt-out means you have to proactively choose to be out. “Opt-in by default” is an overly verbose way of saying “opt-out.”
In either case it describes the choice that you need to proactively make to override the default behavior.
Edit: I should also say that it is a “known point of contention” where pro-privacy people have been pushing back on this phrasing. So, you have probably accidentally stumbled into an ongoing discussion, which is why some of the comments might be unexpectedly prickly.
>Edit: I should also say that it is a “known point of contention” where pro-privacy people have been pushing back on this phrasing. So, you have probably accidentally stumbled into an ongoing discussion, which is why some of the comments might be unexpectedly prickly.
Yes, because people will say that something should be opt-in, meaning off by default, and then someone makes it on by default and says 'oh, it's opt-in, you're just opted in by default!'
I 100% agree that “opt-in by default” is bad and that “opted” in that sense is a bullshit incoherent phrase. Unfortunately this “opting as a thing that happens to you instead of a choice” idea has evidently been promoted well, so we have to expect that people will unknowingly use it.
And suddenly we have laws directing AI companies to report bad behavior or potential rival candidates.
If you opt in it means that by default you're not in and you chose that option. So if you're now included in training by default, then it's an opt-out feature as in you can opt out of it.
Idk, feels like my brain does not have the model for this, this does not exist in my language afaik haha.
Opt-in = "we assume you are out unless you tell us you want to be in"
Opt-out = "we assume you are in unless you tell us you want to be out"
> I don't have that toggle (but could indeed have sworn I saw it earlier).
You don't see "Allow the use of your interactions with Vibe to train Mistral’s AI models" at https://admin.mistral.ai/vibe/privacy ?
And "Allow the use of your API calls to train Mistral’s AI models" at https://admin.mistral.ai/plateforme/privacy ?
The toggles I see
at https://admin.mistral.ai/vibe/privacy:
Allow public sharing of chats content
Allow user feedback on model responses
Chat Retention Policy
At https://admin.mistral.ai/plateforme/privacy I see
Allow the use of your API calls to train Mistral’s AI models.
Enable Labs models
So indeed, no "Allow the use of your interactions with Vibe to train Mistral’s AI models". I only see that setting here: https://chat.mistral.ai/chat?profile_dialog=privacy And I have to ask every user in my org to go and turn it off.
I think there is a simple, unambiguous way to describe this, which is to use the passive voice or an explicit subject with the past tense to clarify that you didn't do the opting in.
Saying "we were disappointed to be opted in to training by default" clarifies the point you're trying to make, which is that the toggle (whatever it may be called) was set to training by someone else, not you.
Actually in your case you'd say "...after being disappointed that the Pro tier opted us in to training on prompts by default", which gives an explicit subject ("the [Mistral] Pro tier"). No one will confuse that with the opposite "the Pro tier opted us out of training on prompts by default".
You said it correctly, there’s no confusion.
My native-US-English speaker read:
“disappointed that the Pro tier was opted-in to training on prompts by default” [and required manually opting out]
“the Team tier was now also opted-in by default” [and required manually opting out]
In context of each sentence and the larger comment, read smoothly here.
Also - have seen more than one lively discussion on these phrases, since defaults can stick 95% of the time and Big Tech has done their best to be abusive about what they automatically enable for users by default for some time.
It's understandable but it is technically inconsistent and dilutes the meaning of opt-in. Opt implies an active choice, so you never are opting for the default.
It's also simply bad writing regardless of what meaning the reader takes from it. "Enabled by default" or "Allowed by default" are much clearer and more natural phrasings without any connotations of the user having taken an action to express a choice.
"For contrast: Claude disables training on prompts for organizations starting from the 18 euro tier "
In theory also for individuals?
At least I have that toggle to deactivate that. But how would I ever know if they actually respect that?
This post is only about the defaults, and expectations therefore for Team and Enterprise plans and their organizational controls.
If you don’t trust the company to keep their promise, don’t use their products.
I don't trust any company with their word on anything. Luckily, privacy policies are legally binding.
> Luckily, privacy policies are legally binding.
Companies violate them all the time and massive leaks happen a lot.
The punishments are trivial.
> Luckily, privacy policies are legally binding.
Laws are violated all the time. The graveyard is full of people who had the right-of-way at a crosswalk ...
Why does that matter? Legally binding just means "slightly more expensive when we get caught"
How can you trust any company?
The only company you could think of trusting is one where an external , independent auditor is doing its work.
> If you don’t trust the company to keep their promise, don’t use their products.
Your comment is perplexing. No company on earth meets your requirement. What are you expected to do? Move to a hut in the woods?
> Move to a hut in the woods?
I'm so burned out on the bullshit companies that succeed in tech forcing their will upon us serfs that I'm actively looking into that very thing at this time. Tech used to be fun. Now it's just depressing. I'm ready to go back and take the blue pill.
Been there. Nice and peaceful, but can get lonely, though.
What company do you trust to keep their promise?
That is ridiculous. Vote to ensure products have to be legally private and make it a crime to share or reuse your data for anything. This should be the norm that people vote for. The idea that we have to give up privacy so some nerdy pervert can be a billionaire off the backs of people who do the work is absurd.
Criminalize failure to keep private data private. Arrest CEOs and executives. Put them in jail when it happens.
My 20 EUR Claude (individual) had the training on by default.
Yes, individual indeed (used to different but changed about a year ago, see [0] among others].
For the Team and Enterprise plans de default is "not sharing prompts for training" (which I mistakenly referred to as opted out of sharing prompts for training.) [1]
[0] https://news.ycombinator.com/item?id=45076274
[1] https://claude.com/pricing#team-&-enterprise
Always assume and act as they won’t honor it.
How do you know an LLM provider does not kill puppies every time you send a prompt longer than 14 words?
Because they have no incentive as a company to do that? But do have a strong incentive to learn from user input. (Most cutting edge features are developed private - very valuable to get that into your tool)
And getting the data is not hard, they already have it. Risky is indeed a bit making use of that data, as that requires at least some humans (as potential whistleblowers). But you don't even have to tell them, where the data came from.
Whether they do it? No idea, I assume not, but I see a risk.
We can easily make it a crime to collect the data and another crime to share it or store it in a way that allows someone else to copy it, authorized or not.
People always want to overcomplicate everything to benefit 5 super rich people that got rich taking wages from workers and ripping off retail investors. Please stop the pandering. Vote for yourself and your neighbors, don't vote to eliminate privacy so a rich pervert gets to exploit you.
And what would my vote change about the situation?
Local hosting will be a solution, once the hardware becomes affordable.
I don't trust any of these companies with my data, and I assume that whatever data they've got is going to be used, one way or another, no matter what they tell you. It would be nice if you could stick a sentinel in your data that if it ever shows up in the models you know they've broken the rules for sure.
Yeah. Unfortunately they know you can't catch them on this so they feel absolutely free to do whatever they please
If such a data sentinel did exist then we might see them change their behavior
Today I registered a free account with Grok, because I simply was curious. Man, training is "off" by default even with the free tier. I was positively surprised. As a European I'm disappointed too.
Grok has possibly the worst ToS of any of the AI providers. They are probably different in the EU, but:
> In choosing to submit, create, generate, record, post, or display Inputs on or through the Service, you grant an irrevocable, perpetual, transferable, sublicensable, royalty-free, and worldwide right to SpaceXAI to use, copy, store, modify, process, adapt, transmit, distribute, reproduce, publish, upload, download, display in public forums, list information regarding, make derivative works of, and distribute such Content, including anything referenced therein, in any and all media or distribution methods now known or later developed, for any purpose, and to aggregate your User Content and derivative works thereof for any purpose, including but not limited to: (i) maintain and provide the Service; (ii) improve our products and the Service and for our other business purposes, such as data analysis, customer and market research, developing new products or features, or identifying or displaying usage or User Content trends; and (iii) perform such other actions to enforce these Terms, comply with our Privacy Policy, comply with applicable law or governmental, court, and law enforcement requests or requirements or keep our Service safe.
> To the extent the User Content includes a person’s image, likeness, voice, or other similar attributes, you grant SpaceXAI the same rights to use those attributes as part of the User Content as described above. You represent and warrant that you have obtained all rights, licenses, notices, permissions, and consents necessary for SpaceXAI to use that User Content.
https://x.ai/legal/terms-of-service
Lol, I'm fully expecting in 6 months time:
"A bug in our portal had the setting for training inverted. This means that when you expected us not to be training on your data, we actually were. We know this adversely impacts the trust our users invested in us, so as of today we are crediting all affected accounts with $200 to use on our latest models".
One can expect a lot what happens in 6 months. Maybe the earth will turn clockwise then! Think about it. :-D
Lol. I would have thought it depended more on your relative position to the equator than on the season.
“Opt in by default” would mean that it is not enabled by default. Do you mean opt out?
You are "opting in to sharing your prompts for training", by default in this case. My slider says: "Allow the use of your interactions with Vibe to train Mistral's AI models.", it is on by default for everyone on the Team plan, the admin can't centrally turn it off anymore, and any user can toggle it when they want to. This all changed last week.
I know I'm naive but I expect that when I pay, this stuff is simply off, so I was already surprised by the Pro plan. But I did look out for it there, because Anthropic made this switch some time ago.
> You are "opting in to sharing your prompts for training", by default in this case.
I understand what you're saying here, but maybe "turned on by default" is less confusing for everyone.
> You are "opting in to sharing your prompts for training", by default in this case.
The English term for that is "opt out" not "opt in." To opt is to choose. If something is on by default, you have not opted in. You were forced in, and turning it off means you must opt out. (I.e., choose to be out.)
normally I wouldn't care about a mistake like this, except that opt in/out are very important concepts in software development and hacker culture. And it reversed the meaning of the original comment in a highly confusing, relevant way.
as another non-native speaker, i think that while the person you're answering to didn't use the default way of expressing this in the english-speaking world, i did understand what they meant, i think they do know what opting means and i think the reasoning is this: when they say data collection is "opt in" by default they mean that by choosing to use a product, you are opting into your data being collected (at the same time). on the other hand, native speakers saying something is "opt out" describes the options or toggles one has available in the default case - when something is toggled "true", you (only) have the choice to toggle it of. so english speakers talk about the controls one has to CHANGE the status quo.
As another non-native speaker, I misunderstood what the person meant.
They said "opt in to training on prompts by default," which is coherent English and perfectly fine. The phrases "opt in" and "opt out" will always be contextual based on what is being opted, so it really falls to the reader to pay attention to that context. Please don't give English language advice as though you are an authority; there is not a rule of the English language that would make their usage unacceptable.
Since the whole idea of ‘opt in’ is choosing to do something, the only reasonable interpretation of ‘opt in by default’ is that the default state requires you to make the choice yourself. However I try to bend my brain, sing the term ‘opt in’ for the exact opposite makes no sense whatsoever.
Note that I’m not using English grammar as my argument; human language (and English especially) has plenty of exceptions and expressions which make little sense, and if people were to adopt this phrasing en masse, it would naturally become a part of the language, whether it makes sense or not. My argument is that adopting this phrasing is a terrible, user-hostile decision and in my honest opinion we really, really, really ought to avoid it.
I read it as though he was trying to say '[you are] opt[ed] in by default'.
Now granted, he did not say that, and I only reached that conclusion by the rest of this conversation, but I think to have meant that and said '... was now also opt-in by default...' isn't unreasonable.
Just sharing since you mentioned you couldn't see how using that term for the opposite would make sense.
I find the usage bizarre and confusing, as others also clearly do. There’s nothing wrong with pointing this out.
> They said "opt in to training on prompts by default," which is coherent English and perfectly fine.
No, it's really not. It should read "opted in to training on prompts by default".
"Opt in" means "you have to affirmatively turn this thing on". "Opted in" means "the thing is currently enabled".
Which is why it's probably better to write it as "enabled by default". Much harder to misinterpret.
> opt-in by default
That's called opt-out.
> being disappointed that the Pro tier was opt-in to training on prompts by default
"Opt-in" means that the default is non-participation, for example, not training on your prompts. Is it possible that you intended to say "opt-out", which means that the default is participation? That's what the context seems to suggest.
See, for example, https://termly.io/resources/articles/opt-in-vs-opt-out/:
> Data privacy laws like the GDPR and CCPA give individuals the right to opt in or out of different data processing activities.
> · Opt in consent means the user takes an action to show they agree to something,
> · Opt out consent is when they take an action to say no.
Or https://bigid.com/blog/opt-in-vs-opt-out-consent/:
> • Opt-in consent requires users to actively agree before data collection or processing.
> • Opt-out consent allows data collection by default unless the user declines.
This is an important distinction, because confusing the two (as you seem to be doing) can lead you both into unethical fraud and legal liability.
You have to be rather naive if you don't think these companies don't simply train on your prompts with or without your consent. They literally scrape everything - legal or not - and claim its fair use to train on, including straight piracy
The idea that they'll steal from everyone except you is just wishful thinking
And even if they are not doing it right now, they probably keep the history available for future training, "just in case".
This is why these companies paying subscriptions shoveling everything into Claude thinking "oh, they're not training on our stuff" is hilarious to me. Of course they are. They probably are extra super-duper sure not to have Claude admit to that in any way, but there's no way they're giving up training on the sum total of both open and closed source code out there.
If you have an enterprise contract with them, the legal protections for the consumer is much higher… is what I’ve been told anyway
It isn't, in both cases you're protected by exactly the same legal system
Not sure what you are saying exactly, but
> the legal protections for the consumer is much higher
You know you give away the right to file class action law suits against Anthropic when you accept their Terms Of Use, right? (at least the Americans ones)
If you have an enterprise contract with them you're still unlikely to ever know that you've been lied to unless some whistleblower at the AI company comes forward and even if you do somehow find out, it's too late. Once they have your data and have trained on it there's no taking it back. At most they'll pay out some tiny settlement that's a fraction of how much money they make in a week and they'll continue to profit from your data forever.
https://beckreedriden.com/the-black-box-problem-in-ai-trade-...
Pinky-promises, embarrassing. I'd point to tinfoil.sh. I'm not a shill for tinfoil, I haven't even used it or looked past its homepage really, but if we are able to legitimately secure privacy, then training data questions are moot (and the market for training data would probably shift/expose).
It would be catastrohic for any of the big labs if it came out that they were training on what was sold as private.
I get this cynical conspiratorial energy, it fits the internet well, but I can assure you most people with even mild business sense would be intensely opposed to this idea. Well, except maybe Zuckerburg, but they don't really do enterprise anyway.
No it wouldn't.
It wasn't "catastrophic" for the largest of the 3 US credit reporting agencies when their entire dataset was breached. The company is 100% IP and the only value they have was completely copied. Their largest value is to verify identities by the things Americans know (KDB) and after that "single factor of identity" was 100% compromised, the company only got bigger and more contracts.
When there are only 4 competitors in the large scale foundation model business and they all throw caution to the wind because they are racing to own the "$30 trillion TAM" they are all going to make critical security, RBAC, and segregation mistakes.
Both ChatGPT and Claude threads marked for sharing have been indexed in Google at large scale. This is incredibly easy to tell Google crawlers via robots.txt not to crawl those URLs, but nobody at either of these uber unicorns could be bothered to add that one pattern to the one file.
And all of the skepticism here is about verifiability. The foundation model companies are liable for potentially more the companies are worth if found to be violating copyrights of content used for training. They aren't going to make it easier for lawsuits against them by detailing their data ingestion into training pipeline.
The credit reporting agencies lost the data of normal people, they didn’t lose their customers proprietary internal data. The credit agencies didn’t loose or misplace their customers data, so obviously their customers don’t really care that much, and the credit agencies weren’t sued into oblivion.
But I can guarantee you that if a companies internal data got leaked or misused, then every single enterprise customer of that lab would turn around and start suing them. As an enterprise customer you would be foolish not to, if only if figure out via discovery just how badly you got screwed.
You want to see how nasty that can get. Just go and look at what Apple is doing to OpenAI at the moment. Do you really think Apple wouldn’t find a way to sue a lab into oblivion if they discovered a lab had secretly started training on their data?
that was accidental? this would be straight up fraud.
You can structure it so that it becomes accidental.
Basically setup the incentive structure to incentivize researchers sticking their mittens in the private cookie jar while putting the cookie jar in a dark unmonitored/unsecured room with a sign on the door saying please don't enter.exactly, I don't understand how HN doesn't understand this
by this logic every business contract in tech is just a bunch of lies and means nothing and the only way to do anything is to have a server sitting next to you, otherwise it's "someone else's computer"
I mean, they've already violated the law in acquiring all their training data already, why would they be uncomfortable violating a contract to get more training data?
Because violating the law was the prerequisite to starting their business, without it they're worth $0 and have no models. They've already survived Training on customer input may help the models but it isn't "bet the farm" helpful. Now, they have a thriving business, so they shouldn't risk their business for incremental data that they can buy.
At this point, the reputation of the business matters too. Fable explicitly didn't support zero-retention usage, and it saw significantly lower adoption vs other flagship models, and their past releases. Being caught abusing enterprise contracts is really hard to dig out of.
It would be catastrophic if they violated confidentiality blatantly, but that doesn't exclude learning of any description. For example, an ordinary human being can't fork a subagent for a particular client and wipe it afterwards. Humans can't stop themselves learning, so confidentiality can't ban all learning.
Instead, confidentiality includes not literally copying material, not using trade secrets or inventions, and not using knowledge of business dealings for your own purposes.
So, while I fully expect that the big labs don't train on private material to the extent that they do those things in a blatant way, it would not be surprising if they pushed the boundaries. Humans push the boundaries all the time.
Up until now, machines did not have judgement, so if you set up a machine in such a way that you hadn't ensured it couldn't violate contract, you were culpable. But now that they have some kind of judgement, maybe it's enough to avoid liability to tell it to obey the contract, even if you give it incentives not to. After all, that's how it works with human employees, isn't it?
Perhaps now we have machines that understand language, someone somewhere is working on getting them to understand "a nod and a wink" as well.
It's going to be the same as PRISM, people will be outraged and business will go back as usual.
(And they totally won't do it again they swear, the contract says so)
I mean the models have literally trained on:
1. Child porn
2. Stolen music
3. Private github repos, before that was 'stopped'
4. Illegally pirated books
Them training on company prompts against the terms of service would be one of the least bad things that these companies have trained AI models on
Why do you think a company - willing to break the law for child porn - won't break the law when it comes to your personal data?
These folks need to feel repercussions so hard their souls flee to the afterlife leaving only their sad, dead husks behind.
I pay for a subscription to Duck.ai mainly because I don't want to be constantly fighting my vendor to protect my privacy.
Microsoft already did a rug pull on me and opted me in to training months after I signed up with Github Copilot. It exhausting and ultimately futile to monitor these companies.
It's not guaranteed that Duck.ai will continue to uphold its promise of not training on your sessions — if the company gets bought by Microsoft, it's only a matter of time before the switch to "you can opt out at any time". But since privacy is Duck.ai's brand, it will be somewhat harder for them to hide what they're doing should they betray their customers.
I also don't actually trust that Duck.ai sub-vendors OpenAI and Anthropic will uphold whatever contract they have with Duck.ai — the whole AI business model is built on lawless consumption of others work.
We'll ultimately have to run our own models locally, because it's impractical to defend against untrustworthy AI vendors.
I also pay for duck.ai's service. They're my main "chat bot" thing, and while I had already been paying for their other services when I discovered I also had a duck.ai subscription, I choose to use them primarily because privacy is their whole brand. I only have two minor complainst: I want my conversations to sync between mobile and desktop (while being E2E), and I want a way to organize conversations into "projects" or grouped chats.
This is a hugely misleading editorialised title.
The page title is "Can I opt out of my input or output data being used for training".
Right at the top of the page it says "In certain cases, your input and output data (such as conversations, documents, and other user-provided content) may be included in Mistral’s model training programs. You retain full control over this processing and have the right to opt out of these programs at any time."
"You can opt out at any time"
....
"Of course we'll randomly turn that option off for you aka FB style and hope you don't notice. There is zero legal liability for us doing so, so why wouldn't we".
This is the case for all the major AI providers. Training collection is on by default, but you can opt out.
"No model training on your content by default" [0]
It's not the default on any Team plans and didn't used to be at Mistral (until last week or so). The team plan has a central admin role and page, and "seats".
And if it was the default, then I'd still expect a big button to turn it off for all seats, and not have to ask all user separately. But this changed over night and that button is not there. Although I expect it used to be, because some people here report that they have it.
https://claude.com/pricing#team-&-enterprise
Agreed. I read the title as they would start using my data for training and I couldn't opt-out. After looking at the page and checking my app (I have Pro subscription) it seems like I can opt-out and my initial opt-out when I subscribed was preserved.
When I started my search for an AI "partner" the Mistral TEAM plan had "use my prompts for training" turned off by default, as per their docs in multiple places. I could have sworn I saw a organization switch in my dashboard for this setting org wide, but am not sure.
I start the subscription, users report it is "on" by default, I ask support what's up, they say "sorry, docs should have been updated earlier but they are now". And they give me a lot of credits.
I just want to warn people, the Team sub just changed, docs were update too late, there was very little press about this (in my view) very important change. Actually, it is so important that I would not advice Mistral to our management if they'd use our prompts for training, so I take a TEAM sub so this is disabled for sure, or I can disable this org wide. But I can't anymore, now I have to ask each user/seat to disable sharing, and hope they do, I have no way to check. Way to inspire confidence. And their response: "You can still do this with the Enterprise subscription".
We flamed Anthropic for their switcheroo with their personal Pro plan a year ago [0], now Mistral does it with their business focused Team plan, so they deserve some fire imo.
[0] https://news.ycombinator.com/item?id=45076274
For all the people here alleging that AI companies will train on your data even when you as a user explicitly opt out of training and their terms say they will respect that, etc - do you also believe that within a few years of them having harvested your data, you could perform "knowledge probing" on their models by prompting various questions that determine if they can near-verbatim reproduce your unique data, and then have enough other people do the same that you can then just launch a class-action lawsuit? Because if not... I've got a startup idea for you.
I could be mistaken, but wasn't Mistral openly championing themselves as a company and EU option that wouldn't do this/didn't do this?
Maybe they realized that they were falling behind too much? To me it seems like user-feedback on bad descisions by the AI once it's trained to a basic level is among the most important signals in tuning the model to perform better.
That's what I believe. Once you have scanned every passive source available, using the user conversations to e.g. find common paths to a solution and shortcut them would seem natural.
Paths and shortcuts isn't the most important part here I think, rather negative signals about unfitting choices is more important, do we use algorithm/library/etc XYZ in this situation or not, the developers using it would provide the context suitability of options on a more finegrained level than resulting (semi-)public artifacts provide.
You must have not been keeping up with the times :)
Their big play this year was to write a "whitepaper" on the future state of EU economy, which is something that they'd like to hand of to EU leaders and part of that proposal was some kind of mandatory 10% sovereign AI spend, or some other nonsense like that.
They are, at least, trying to make big enterprise (with tailored models, custom integration) and government policy plays.
That just goes to show you how ineffective they are as well at making AI click as a usecase.
And when they don't get ahead by their own terms they copy what they see ongoing with US AI labs. Le Chat, and Vibe.
That just sounds like exactly the same as the US companies are doing with their government (trying to get a lot of money out of them)
The same mistral that has a patent for "code implemented tool calls"https://news.ycombinator.com/item?id=49243397#49243588 and said "Companies selling artificial intelligence models in Europe should pay a "levy" to support cultural industries".
They seem to get a lot of slack just because they're European but every new article I see about them makes my opinion a little worse
There are so models that beats all of Mistral models, plus you can run many of them locally. Why would anyone run Mistral?
To have at least a choice of using a European trained model. Downloadable weights is not open source. Mistral is able to respond to any regulatory queries about training data and concerns.
Haha, the answer is "european regulation"?
To be honest, I have a hard time noticing differences with Claude (in Kiro) and Mistral Vibe, at least with what I use them for. They simply feel like talking to the exact same thing.
Mistral OCR is really good and their small models are great for simple translations, I use them regularly.
Of course I’m not always on the most bleeding edge forefront of the latest hyped model so there might be better alternatives, but I’m happy with what they provide
Their OCR did worse at reading a 40 page PDF of printed text than tesseract for me, I just paid $2 for useless output
Qwen 3.8 27B absolutely demolishes Mistral best offerings at coding, and you only need a 5090 or 2x3090 to run it.
French
Possibly because Mistral is a French-based company, so EU companies can cut the American umbilical cord a bit more.
EU companies can download GLM or Kimi-K3 and get way better performance, though? I don't see any case for using a Mistral model when much better open models exist.
Because not everyone has the infrastructure to run that with better performance? Anyway, Mistral serves GLM 5.2 through their global and European endpoints, so if you wanted to leverage their services and use a more powerful open model, that seems to be an option.
The OCR stuff is quite usable. Their models perform good at some very basic tasks, so I use them to diversify. But their current model lineup is really terrible.
Sovereignty. Not everything is about performance.
Sovereignty.
I'd like to provide extra context to help with training. Like, here's my codebase and the logs and the docs, feel free to ask me questions about it... Whatever makes the next version more applicable to the problems I'm trying to solve would be excellent.
I just wish I could force them to share it with their competitors also.
Submitted title was "Mistral now trains on user input by default, except on enterprise tier". THat's good information (if true) but best suited to a comment in the thread rather than the title (https://hn.algolia.com/?dateRange=all&page=0&prefix=false&so...).
We've changed it to the article title now per https://news.ycombinator.com/newsguidelines.html.
It’s a spyware, but a sovereign one
How so? I've opted out of using my data for training.
How many times with large companies have you found that they removed the old opt-out value and put a new one in that is enabled by default because of course it's opt-out?
Opt-out doesn't mean dick when the regulatory environment allows them to do things like the above without any recourse. Of course you can go to any other company that follows the exact same rules if you'd like.
Tbh there is much more regulatory pressure on EU AI companies than US/China - of course you can only use local models which Mistral actually releases unlike the US alternatives.
So out of all the bad options this still seems to be one of the best
I'm curious what regulatory pressure there is on EU AI companies that wouldn't apply to many of the US firms. The AI Act and GDPR still apply to the tech giants since they operate in the EU (e.g. Anthropic watermarking). There are labor laws that are definitely more strict but many of the US firms have operating presence in the EU as well. I imagine that being directly in the EU probably does increase regulatory oversight but I'm curious how this would manifest in Mistral in particular.
Regarding local models, Gemma, GPT-OSS, Nemotron, and Inkling (maybe upcoming Muse series as well) all are fairly decent options at a variety of hardware costs.
These laws apply to US companies in a more limited way because if we fine them too much they complain to US government that other countries have laws they have to follow. And then the US government intervenes to protect their money and data/intelligence extraction machinery (big tech companies). Usually with at least partial success.
Defaults matter. The expectation for an organization tier plan is not that you have to go and ask each user in your org to please turn off "Allow the use of your interactions with Vibe to train Mistral's AI models" before starting your work.
What do you expect from running on "someone else computer?"
a service provided to you for the money you paid? just like with any other business?
Sheet, that is so 20th century.
All the other businesses have been bought up by VC, going to rental models, and looking for new and interesting ways to screw you over too.
Summary of the different scenarios
Service: Vibe Plan: Non-Enterprise Default: Opted in Opt-out possible? Yes
Service: Vibe Plan: Enterprise Default: Opted out Opt-out possible? Yes (admin-managed)
Service: Mistral Studio/API Plan: Not specified Default: Not stated, I assume opted in Opt-out possible? Yes
> In the Admin panel[links to the admin panel], open the Privacy menu in the left-hand navigation bar.
Why not link to the https://admin.mistral.ai/plateforme/privacy panel directly
I just checked my admin dashboard and training on my data is (still?) off. Maybe I already set it to off when I signed up, I don't really remember.
They don’t switch it for you probably, that would be very bad. But the default for new users and orgs on the Team plan just changed. But they didn’t update the docs for a while which left me confused as I started my subscription after they switched but before they updated their docs.
I remember this being the default for a while already. When I signed up and got an API key, I remember I did turn off the training option specifically, so it must have already been a default to have training on input on.
This is about the Team plan specifically, which was like enterprise before. And it’s about the removal of the option to disable training on user input for all users from said plan at the org level, all last week.
Question: when AI companies say they don’t train on your input or output, do they mean that they don’t train on an extremely simple AI rework of your input or output as well?
> Vibe: users are not opted out by default
> Vibe (Enterprise): customers are opted out of training by default
So they made it opt in for enterprise (how it should be), but intentionally made opt out for regular user.Basically saying "screw you: to regular users.
Any self respecting user should stop using them.
Same company that has a partnership with Saudis, btw.
This means exactly what?
I think you would be hard pressed to find any relevant tech company that doesn’t have a relationship with the Saudis or is funded by them - or any government for that matter…
This gets posted literally moments before I was about to pay them after ditching Claude. Thank you! I hate data collection in paid products.
I think I will be using Kagi Ultimate for the inference UI, so the data is somewhat anonymized before being collected.
I'm really hoping Mistral will succeed with their open models, so I'm a bit biased, but I don't have any affiliation. This submit is a bit of well-meaning but confused scaremongering however.
Mistral has had, and continues to have, a toggle in the admin settings that permanently disables training on your data. The option has not been removed, and previous opt-outs are still honored. As far as I know, Mistral always trained on your data by default except for the enterprise plan, with the option to disable it on all plans, and with the option for organizations to make the choice for all your users.
Kagi Ultimate still uses mostly closed models by OpenAI / Anthropic, etc.
There is no toggle in my admin settings to disable this for the whole org (when on the Team plan). If it was there before they recently removed it.
"Mistral always trained on your data by default except for the enterprise plan" - This is not true, until last week all docs stated that the use of your interactions with Vibe to train Mistral's AI models was off by default on the Team plan. Now that is only still the case on the enterprise plan.
> I hate data collection in paid products.
You can opt out in this one.
My best experience with Mistral has been with their expensive GLM-5.2 model. It's actually developed by Z.ai, but unlike Z.ai, the GLM-5.2 at Mistral can be used at a low price without training on your prompts - but only if you remember to hit the privacy toggle in their admin settings.
Planning code changes with GLM-5.2 using a Mistral Studio API key and implementing code changes using the Mistral Vibe API key has worked well for me. At my basic subscription tier, Vibe will share data with Mistral. It works for me because, when it comes to privacy, I care less about the actual code and more about the planning / high-level stuff.
> My best experience with Mistral has been with their expensive GLM-5.2 model. It's actually developed by Z.ai, but unlike Z.ai, the GLM-5.2 at Mistral can be used at a low price without training on your prompts - but only if you remember to hit the privacy toggle in their admin settings.
Same here, actually. I'm American but have had a Mistral sub to supplement local models. The Mistral models, IMO, are very hit or miss, and I was about to cancel my sub until I saw they added GLM.
Thanks for the pointer! I had set up mistral a while back using pi to compliment my local Qwen usage, but I found Qwen to just be better for all of my tasks at a substantially cheaper price, and reasonably fast tps. I also tried signing up for z.ai, but they would never send me an email to sign in. Using GLM through mistral to compliment my local models seems like exactly what I want.
You can still easily disable "Allow the use of your interactions with Vibe to train Mistral's AI models." What's annoying is that they switched this to on by default on Team plans with no way to turn it off for your whole team/org, this week.
You can opt out.
Just run your LLMs locally instead of using external providers.
Using Claude, Mistral and the rest of them is not going to solve your issue with data collection.
Great news if you want your LLM to be horny, I guess.
Realistically, what are the risks? I get not wanting info you provide to AI being used against you in the future, like if you are gay and move to a country where that’s illegal (or live in one where it becomes illegal), but is “training” an actual risk here? I would assume that PII is redacted, and so beyond redaction failure, the real risk here seems to be to intellectual property and not to personal privacy.
Edit: Does “use for training” include “we store all your chat logs forever tied to your identity”?
The retain it for "the duration necessary to achieve the intended purposes", which could mean forever.
Seems in USA you can go to jail for going somewhere else to legally have an abortion. So for example that.
I'd be interested in some legal/GDPR takes on PII handling in prompts. If someone enters PII into a prompt, and Mistral retains it for training, is it sufficient for them to say "don't enter PII into prompts?"
Of course with Claude and so on this bothers me too, but it doesn't seem like there's any real recourse under US law. But I would hope that "oh you shouldn't enter PII" isn't going to cut it under European law, that if I say "don't store my prompts, they include PII I don't want you storing" should be sufficient here under the GDPR and Mistral shouldn't be able to just store it anyway.
They might circumvent this by adding a prompt like "remove PII from this prompt", so I don't think it's a worthwhile route. The issue exists whether PII is input or not, like IP or secrets.
LeChat when it was launched as a consumer product was always going to be a data acquisition play.
This is them just making it very clear and disclosing as per European rules.
My bet is that mistral models will suddenly start to shine.
I assume they do this no before releasing new models. It feels like they expect higher user influx from their new models.
Just to achieve a great ideal: MEGA Make Europe Great Again.
> users are not opted out by default
Of course because you can’t be opt out by default that would be called opt in.
Come on, think how fast Grok evolves after SoaceXAI acquired Cursor. I just believe if you can't get enough real data from practice then you can't train a good model. And for Mistral collecting data is a must step no matter what approach it takes.
Most commenters here clutching their pearls as if Claude and Gemini Pro didn't do it already. In the latter you (as a paying customer) can't even store the chat history unless you agree to their 'improvement of services'. Do you have all your accounts paid for by the enterprise or you never check the settings?
> Most commenters here clutching their pearls as if Claude and Gemini Pro didn't do it already.
That's not the point though. The problem is that in the minds of lots of people including here on HN or otherwise, a service based in the EU is de-facto "more" respectful of digital privacy.
You can read the comments on threads related to the EU tech where you will find people defending to the very end that privacy is better in the EU and that EU providers will never stoop as low as their US counterparts.
As always the truth is a lot murkier than that.
Yes, some services based in the EU are better in terms of privacy but it's not a given for all of them and it depends entirely on the service. Unfortunately such a nuanced take is not wildly popular in the tech world in this day and age where every US company is labelled as an evil data hungry entity and EU companies are portrayed as saints in this regard.
That's where the first problem lies.
The second problem is that for years now, people have been singing the praises of Mistral as a privacy friendly alternative the the US juggernauts because Mistral's headquarters is located in the EU and unfortunately today it seems some people are waking up to the fact that Mistral is doing the same thing than its US counterparts and they are disappointed which is understandable.
Who is to blame for this dichotomy? Is it Mistral who leaned too much on this marketing angle (the European Chatgpt without the invasive tracking/ better privacy settings) or is it the users who failed to realize that EU or not, Mistral wasn't going to pass on the opportunity to improve its models this way?
My hunch is that it's both.
No one is saying that every US company is an evil data hungry entity and EU companies are saints.
But fact of the matter is that the US is rapidly sliding into totalitarianism and at the same time US tech companies have an hu huge influence worldwide.
I commend any alternative that comes from outside the US and also offers an “open source” selfhosted option.
Very disappointing. I really get the sense that all AI companies and anti-privacy parasites on society.
Very disappointing, but who doesn't train on user data? It's the only moat they have
I had the option, and had it disable everywhere, manually. The only one I didn't use, at all, is Anthropics service because of iffy Dario aura and their terms of service. Where is training in user data enforced and not possible to opt out?
i don't get the legal aspect of this
if you sign the contract (click I agree on Terms of Service), and it says that they do not train on the data, by what right can they backtrack on that?
Maybe it is assumed that they notified you and you have the right to terminate the contract? Relying on some clause where the contract can be updated at any time. Or terminated at any time (with the presumption that a clause change is a termination and an automatic signing of the new contract, but that's weak)
I think it only goes for new users/orgs. I was caught between the time they changed the default and updated their docs. I don't believe they would alter users/organizations exiting choices. In facts, from some of the responses it seems that some still retain the toggle to opt out their entire org.
I wonder how much the progress is slowed down just because most companies don't train on consumer convos. Assuming they really don't.
I'm sure that the 3 users they have are very pissed about this news.
I'd send them a GDPR request, if I had an reason to use their fifth rate cloud models.
the rapid enshittification in LLM hype cycle is something else.
Got to love the private equity parasites ruining everything for the sake of profit.
I didn’t realize Mistral was owned by private equity.
I mean they all do it right ? Mistral is just the first one to publicly say it.
They wouldn’t dare train on language inputs from the wild, but they will happily strip out any code snippets you’re providing and sell/train on that à la GitHub/Copilot. File uploads too
What? They dared train on random websites like reddit, training on language inputs from the wild is the name of the game
Oh come on. So you should be fine with this because "hey we're the friendly europeans..."?
European innovation right here
you can't make this shit up