• Discovery of an AI-related file raises questions over browser behavior
• Concerns emerge over potential privacy impact and system resource use

A computer science researcher has revealed that the Chrome browser is automatically downloading a large file to users’ devices, a finding that has sparked renewed debate over data handling and user privacy. The file is believed to be linked to Google’s artificial intelligence models.

According to researcher Alexander Hanff, Chrome downloads a file named “weights.bin” exceeding 4GB in size. The package is associated with the on-device AI model “Gemini Nano,” which enables features such as writing assistance and scam detection without sending data to cloud servers.

Hanff noted that the installation occurs without clear notification or explicit user consent, which he argues raises transparency concerns. The file is stored within system-level directories on both macOS and Windows, making it less visible to average users.

He further stated that deleting the file is not always effective, as Chrome may automatically reinstall it in certain cases unless AI features are disabled through browser settings or advanced system policies not typically available to regular users.

In response, Google said that Gemini Nano has been part of Chrome since 2024 and is designed to run AI features locally to improve privacy and performance. The company added that users can disable or remove the model through settings, and that it may also be automatically removed if device resources are limited.

Google also emphasized that while the technology requires local storage, it does not send user data to the cloud during operation, and that controls are available within Chrome settings to turn off the feature entirely.

The researcher also raised broader concerns regarding compliance with data protection regulations, including the EU’s GDPR, as well as possible environmental implications. He suggested that large-scale distribution of the file could lead to significant energy consumption due to repeated downloads and updates.

These developments come amid a wider push to integrate AI tools into everyday browsers and software, intensifying discussions around the balance between technological advancement, transparency, and user control over data and device resources.