How your data is used to improve model performance changed OpenAI, Jun 4, 2025
OpenAI · Jun 4, 2025 · 5 added, 4 removed · found in an Internet Archive capture
- Added: When you use our services for individuals such as ChatGPT, Sora, Operator, or Codex we may use your content to train our models.
- Added: You can opt out of training through our privacy portal by clicking on "do not train on my content." To turn off training for your ChatGPT and Operator conversations and Codex tasks, follow the instructions in our Data Controls FAQ . Once you opt out, new conversations will not be used to train our models.
- Added: Even if you've opted out of training, you can still choose to provide feedback to us about your interactions with our products (for instance, by selecting thumbs up or thumbs down on a model response). If you choose to provide feedback, the entire conversation associated with that feedback may be used to train our models.
- Removed: When you use our services for individuals such as ChatGPT, DALL•E, Sora, or Operator, we may use your content to train our models.
- Removed: You can opt out of training through our privacy portal by clicking on "do not train on my content." To turn off training for your ChatGPT and Operator conversations, follow the instructions in our Data Controls FAQ . Once you opt out, new conversations will not be used to train our models.
- Added: Codex has separate controls for allowing training on full environments, which you can manage in the Codex Settings . Note that adjusting your settings in the ChatGPT interface or privacy portal will not affect these full-environment Codex settings.)
- Added: What happens if I share my audio to improve chats for everyone?
- Removed: Will OpenAI use files uploaded to train its models?
- Removed: How is data retained in the macOS app?
About this change
- Page
- help.openai.com/en/articles/5722486-how-your-data-is-used-to-improve-model-performance
- Kind
- Help article
- Text hash
- 93cee17c9cf0 to d7d5ad2b0c40
- Dated by
- the first Internet Archive capture sampled that shows the new text; the change happened on or before this date