Data Leakage from some one else during (in another language)

Where does the bug appear (feature/product)?

Cursor IDE

Describe the Bug

I asked the agent for a specific task, reading the Thinking of the agents showed totaly non related information probably from someone else

Steps to Reproduce

I’m not sure i’m able to reproduce, first time i went into this apparently, i’m not always reading the whole thinking process

Expected Behavior

I’m not expecting to see results from another user, this question token prices.

Screenshots / Screen Recordings

Operating System

Windows 10/11

Version Information

Version: 3.7.42 (user setup)
VS Code Extension API: 1.105.1
Commit: 5702c9cfca656d8710fad58402fe37f14345e3a0
Date: 2026-06-15T19:39:42.738Z
Layout: editor
Build Type: Stable
Release Track: Default
Electron: 39.8.1
Chromium: 142.0.7444.265
Node.js: 22.22.1
V8: 14.2.231.22-electron.0
xterm.js: 6.1.0-beta.256
OS: Windows_NT x64 10.0.26200

For AI issues: which model did you use?

the model was in Auto mode

For AI issues: add Request ID with privacy disabled

Request id 5dfad464-f8b2-4bb7-80c5-ebe3b6798679

Does this stop you from using Cursor

No - Cursor works, but with this issue

Hi @NWD Thank you for the post. I checked the request and the screenshot.

From what I can see, this does not look like another user’s data was included in your request. The request was handled under your own account context, and I do not see evidence of a different user’s chat, files, or workspace being attached to it.

What appears to have happened is that the model produced corrupted or unrelated text in the Thinking view. That can look alarming because it may switch languages or mention topics unrelated to your project, but in this case, the screenshot looks like degraded model output rather than data from another user’s session.

If you see it again, feel free to grab the new request ID and a screenshot if possible. Starting a fresh chat is the best immediate workaround if the conversation starts drifting or producing unrelated text.

I’m sorry but it’s really not making any sense that totally non related outputs generated, really feel wrong especially since it’s counting as tokens generated from our sessions, so you state that the model is generating garbage for 1/3 of it’s output, so users are charged for 1/3 of output tokens that are unrelated to the work that should be performed ?