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Cursor recently published a new blog outlining how they train models. Interestingly, the blog does not clarify how they handle opt-out user data and/or business user data -- exact phrasing: "[cursor's] model runs on every user action, handling over 400 million requests per day. As a result, we have a lot of data about which suggestions users accept and reject. This post describes how we use this data to improve Tab using online reinforcement learning."

As a matter of fact, the wording sounds like all cursor user data (opt-in and opt-out alike) are being used.

Anyone knows what's going on behind the scenes?

That is why I use VScodium or Theia and Positron.

No AI features enabled.

Don't they transparently say that they train models on your actions by default unless you opt-out as part of the install flow?