Thank you, this is helpful, though I am left somewhat confused as a "1. Login with Google" user.
* The first section states "Privacy Notice: The collection and use of your data are described in the Gemini Code Assist Privacy Notice for Individuals." That in turn states "If you don't want this data used to improve Google's machine learning models, you can opt out by following the steps in Set up Gemini Code Assist for individuals.". That page says to use the VS Code Extension to change some toggle, but I don't have that extension. It states the extension will open "a page where you can choose to opt out of allowing Google to use your data to develop and improve Google's machine learning models." I can't find this page.
* Then later we have this FAQ: "1. Is my code, including prompts and answers, used to train Google's models? This depends entirely on the type of auth method you use. Auth method 1: Yes. When you use your personal Google account, the Gemini Code Assist Privacy Notice for Individuals applies. Under this notice, your prompts, answers, and related code are collected and may be used to improve Google's products, which includes model training." This implies Login with Google users have no way to opt out of having their code used to train Google's models.
* But then in the final section we have: "The "Usage Statistics" setting is the single control for all optional data collection in the Gemini CLI. The data it collects depends on your account type: Auth method 1: When enabled, this setting allows Google to collect both anonymous telemetry (like commands run and performance metrics) and your prompts and answers for model improvement." This implies prompts and answers for model improvement are considered part of "Usage Statistics", and that "You can disable Usage Statistics for any account type by following the instructions in the Usage Statistics Configuration documentation."
So these three sections appear contradictory, and I'm left puzzled and confused. It's a poor experience compared to competitors like GitHub Copilot, which make opting out of model training simple and easy via a simple checkbox in the GitHub Settings page - or Claude Code, where Anthropic has a policy that code will never be used for training unless the user specifically opts in, e.g. via the reporting mechanism.
I'm sure it's a great product - but this is, for me, a major barrier to adoption for anything serious.