What's the Difference Between Deleting Your Account and Opting Out of AI Training

Deleting your account and opting out of AI training are not the same setting, even though most people assume checking one handles the other. Deleting your account removes your data going forward and triggers a cleanup of what's stored — the account, your content, your login. Opting out of AI training is a separate, narrower switch: it stops your future messages from being fed into a model's next training run. Neither one reaches backward into a model that's already finished training on your past data — once your words are baked into the weights, there's no account setting that pulls them back out. Most AI apps make you find and flip both switches separately, in different menus, and most people only ever find one.

Two different things, confused because they sound like one

"Delete my data" and "don't train on my data" sound like the same request — get my information away from this company — but they're answering different questions. Deletion is about storage: is this still sitting on a server somewhere. Training opt-out is about use: is this being fed into the next version of a model. A company can honestly delete your account tomorrow while having already used last month's data to train a model that shipped last week — the deletion doesn't reach back and undo that. And a company can honestly stop training on your data going forward while keeping your account, your messages, and your history exactly where they were — opting out doesn't erase anything.

This is why the research on this is consistent across every major AI product: opting out is forward-looking, not retroactive, and it doesn't delete any existing data on its own. Deleting your account triggers actual data removal, usually on a stated timeline, but it's a different action entirely, and the two live in different settings menus more often than not.

Why the distinction matters in practice

If what you actually want is for a specific conversation to never shape a future model, opting out of training is the right lever — but it does nothing about the copy of that conversation still sitting in your account history. If what you want is for your information to stop existing anywhere, account deletion is the right lever — but if a model was already trained on it before you deleted, that training isn't undone, because a trained model doesn't store a retrievable copy of your sentence; it's a pattern baked into billions of numbers that can't be selectively subtracted out after the fact.

That second part is the one most data-deletion pages gloss over. "Delete my data" implicitly promises completeness — that the thing is now gone. For whatever portion of your data already went into training a model that's already live, that promise doesn't hold, from any company, because the technology doesn't support it yet. The honest version of a data-deletion claim says what it removes (your account, your stored content, future use) and is silent about what it can't touch (a model already trained before you asked).

How to actually check which one you've done

Two separate checks, not one:

1. Did you delete the account, or just stop using it? Letting a login go stale isn't deletion — most services keep inactive data indefinitely unless you explicitly trigger removal. Look for an explicit "delete account" or "delete my data" action, not just a sign-out.
2. Did you find a training toggle, or did the app never have one? Some apps have a dedicated "don't use my content to improve the model" setting, usually under privacy or data controls, separate from account settings entirely. Others don't train on user content as a matter of policy in the first place, which means there's nothing to toggle — but you can only tell the difference by reading the actual privacy policy, not by assuming either way.

If an app has a training toggle, flipping it and deleting your account are two different clicks, in two different places, and doing one is not evidence you did the other.

Where this gets simpler, not harder, if there's nothing to opt out of

The reason this question is confusing for most AI products is that there are genuinely two switches to find. Fractal's answer is simpler because there's only one question that applies: none of the services that touch Fractal's AI features train on your data at all, so there's no second toggle hiding in a different menu. Exactly three outside services ever see anything — Anthropic (writes Fracty's replies, plans, and insights from your messages), OpenAI (turns snippets of notes and journal entries into search vectors, writes nothing back), and Deepgram (voice in, voice out, opted out of Deepgram's own model training) — and none of them trains on what you send. That's a policy stated plainly, not a setting you have to locate and flip, which is the actual gap most AI apps leave open: a training opt-out that exists but is hard to find, or isn't mentioned at all.

Deletion is still its own separate action, exactly as described above — opting out of training isn't a substitute for it, even where there's nothing to opt out of. In Fractal, that's at Profile → Your data: "download everything" exports every piece of data Fractal stores about you as one JSON file, and a separate action permanently erases the account — typing DELETE to confirm, which runs immediately, with no support ticket, and kills every active session. The same two actions exist in the mobile app under Profile → Your data. Whether an app that says it "remembers you" is doing anything more than storing data is its own question worth asking, covered in AI journal that remembers what you've already told it.

The short version

Deleting your account and opting out of AI training answer two different questions — "is this stored" versus "will this be used to train a model next" — and most AI products make you find and set them separately. Neither one can undo training that already happened; both are forward-acting, not time-travel. Before trusting either claim from any app, check for both settings explicitly rather than assuming one covers the other, and remember that a policy of never training in the first place is simpler than a toggle, but you still have to read the privacy policy to tell the two apart. If you want to see what a model built from your own patterns — rather than trained on anyone's — actually looks like, Fractal's 30-second sort needs no signup to try.