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Defaults matter more than the blog post. "You can opt out" is not the same product as "the org can actually enforce opt out."
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Defaults matter more than the blog post. "You can opt out" is not the same product as "the org can actually enforce opt out."
Earlier quoted context omitted.
“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…
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.
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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…
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.
There are so models that beats all of Mistral models, plus you can run many of them locally. Why would anyone run Mistral?
I think I will be using Kagi Ultimate for the inference UI, so the data is somewhat anonymized before being collected.