This analysis describes what Cursor's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
This clause defines the operational scope of model training practices by establishing default non-use of user-generated content for training purposes and creating exceptions only for security analysis, user-initiated feedback, or affirmative consent. The provision creates an opt-in framework rather than opt-out, which affects data handling procedures and third-party data sharing policies.
Users' inputs and suggestions are not used for model training absent one of the three specified exceptions or user preference changes. The terms authorize management of training preferences through service controls, permitting users to modify the default restriction if desired.
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"We do not use Inputs or Suggestions to train our models, or permit third parties to use them for training, unless: (1) they are flagged for security review (in which case we may analyze them to improve our ability to detect and enforce our Terms of Service), (2) you explicitly report them to us (for example, as Feedback), or (3) you've explicitly agreed to their use for such training purposes. You can find instructions in the Service on how to manage your preferences regarding the use of Inputs and Suggestions for training.Excerpt from Cursor's Privacy Policy
Ad personalization controls removed. Contact scanning added. Advertiser data partnerships quietly dropped. A timeline of every change.
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This clause defines the operational scope of model training practices by establishing default non-use of user-generated content for training purposes and creating exceptions only for security analysis, user-initiated feedback, or affirmative consent. The provision creates an opt-in framework rather than opt-out, which affects data handling procedures and third-party data sharing policies.
Users' inputs and suggestions are not used for model training absent one of the three specified exceptions or user preference changes. The terms authorize management of training preferences through service controls, permitting users to modify the default restriction if desired.
ConductAtlas has identified this type of provision across 290 platforms. See the full comparison.
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