This analysis describes what Windsurf'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
The provision establishes a restricted use framework for user-generated autocomplete data, distinguishing between permissible discriminative applications and prohibited generative applications. This operational distinction defines the scope of data utilization for model improvement while preserving user control through opt-out mechanisms.
Users' Autocomplete User Content may be used for discriminative model training by default unless the user modifies settings to opt out. If a user does not opt out, anonymized autocomplete data will be retained and used for training discriminative models that rank code generations.
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We may use Materials to provide, maintain, and improve the Services and to develop other products and services, including training our models, unless you opt out of training through your account settings. Even if you opt out, we will use Materials for model training when: (1) you provide Feedback to...
Data publicly available on the Internet. Our artificial intelligence models are trained on data that is publicly available on the Internet by third parties, which may contain personal data, even if we use good practices to filter out such personal data. [...] Training Datasets. In some cases, we acc...
Writer does not use Customer Data to train its AI models without explicit customer permission. Customer Data means the data, content, and information that customers and their end users submit to or through the Services.
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"We may use your Autocomplete User Content to improve our discriminative machine learning models, which are models that rank or assign scores to code generations in order to understand the boundaries between different sets of code. We will never use your Autocomplete User Content to improve generative machine learning models, which are models that are able to generate code directly based on studying existing code generations, for Autocomplete or other services. Any Autocomplete User Content used for training our discriminative machine learning models is anonymized, such that any personally identifiable information is removed. To opt out of having your Autocomplete User Content used for such purpose, you may change the code sharing options in the User Settings pane of the user's profile page. Please note that if you opt out, your Autocomplete User Content will be sent to our servers so that we are able to provide you with the Services, but we will not retain your Autocomplete User Content on our servers for training our discriminative machine learning models.— Excerpt from Windsurf's Windsurf Terms of Service
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The provision establishes a restricted use framework for user-generated autocomplete data, distinguishing between permissible discriminative applications and prohibited generative applications. This operational distinction defines the scope of data utilization for model improvement while preserving user control through opt-out mechanisms.
Users' Autocomplete User Content may be used for discriminative model training by default unless the user modifies settings to opt out. If a user does not opt out, anonymized autocomplete data will be retained and used for training discriminative models that rank code generations.
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