No. Turning off “Improve the model for everyone” means new conversations are not used to train models; they can remain in chat history. Do not interpret that setting as a deletion instruction.
What the documented control changes
OpenAI’s supplied Help Center evidence says sharing is enabled by default on personal Free, Plus, and Pro workspaces. Turning off the named setting changes the documented training treatment of new conversations.
That statement answers a specific question: whether those new conversations are used to train models. It does not establish that existing chats disappear, nor does it establish retroactive treatment of earlier conversations. Keep those questions separate when explaining the setting to a colleague or family member.
A training-versus-history distinction card
Use this practical editorial card before submitting a research or writing prompt:
- Training question: Is “Improve the model for everyone” off? Record the observed state rather than relying on memory.
- Conversation question: Was this conversation started after that decision? The supplied wording concerns new conversations.
- History question: Am I expecting the chat to remain visible? The evidence explicitly allows conversations to remain in history.
- Deletion question: Am I actually trying to remove a conversation? This training-control evidence does not answer that task.
- Disclosure question: Am I authorised to submit this material? A training preference is not an answer to that separate review question.
The card is a reasoning aid, not a description of additional product settings.
Hypothetical research-session example
Suppose a Pune student turns the setting off at 10:00 IST and starts a new conversation at 10:05 about a fictional essay outline. An older conversation remains visible.
Evaluate the situation using two independent observations. First, the new conversation falls within the documented new-conversation wording. Second, the visible older conversation is not evidence that the training preference failed: history and training are different issues.
The student should not conclude that the older conversation was deleted, excluded retroactively, or otherwise changed. None of those conclusions follows from the supplied passage.
Stop if your real goal is removal
If your goal is deletion rather than controlling training for new conversations, stop treating this switch as the solution. Consult current provider guidance addressing that separate task before proceeding. For sensitive material, resolve permission and handling questions first.
If you are comparing paid access, check access format and saved terms in the AI tools catalog before buying. Marketplace account, code, or token offers are not proof of official subscription equivalence; their offer terms are separate from provider documentation.
Sources and scope
Source material checked 29 October 2026; features/policies may change. OpenAI data controls establishes the default-sharing and new-conversation training distinction above. The card, example, and stop rule are practical editorial advice, not additional platform claims.