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Modern smartphones, especially those packed with AI-powered assistants like Googleās Gemini, continuously harvest personal dataāeven during initial setup. This data fuels AI efficiency, often without explicit user consent. A recent test revealed that Gemini could approximate a userās location without a SIM card or prior references to the area, raising serious privacy concerns.
You Should Know: How to Limit AI Data Collection
1. Disable Location Services
- Android:
adb shell settings put secure location_providers_allowed -gps,network
- iOS: Settings > Privacy > Location Services > Toggle off.
2. Restrict Background Data for AI Apps
- Android:
adb shell pm revoke com.google.android.gms android.permission.ACCESS_BACKGROUND_LOCATION
- Windows (WSL/Linux): Use `netstat` to monitor suspicious connections:
netstat -tulnp | grep -i "google"
3. Use Privacy-Focused OS Alternatives
- LineageOS (Android without Google services):
fastboot flash recovery lineageos-recovery.img fastboot reboot recovery
- GrapheneOS (Privacy-hardened Android):
curl -O https://grapheneos.org/install chmod +x install ./install
4. Block Telemetry at Network Level
- Linux (iptables):
sudo iptables -A OUTPUT -p tcp -d google.com --dport 443 -j DROP
- Windows (Firewall):
New-NetFirewallRule -DisplayName "Block Google Telemetry" -Direction Outbound -Action Block -RemoteAddress 216.58.0.0/16
5. Opt Out of AI Training
- Google Account: Visit myactivity.google.com > Delete Activity by > All Time.
- Microsoft:
settings > Privacy > Diagnostics & Feedback > "Basic"
.
What Undercode Say
AI-driven devices are privacy black holes. Even without direct input, metadata (Wi-Fi networks, Bluetooth devices, usage patterns) leaks your identity. While OS-level hardening helps, the only true fix is decentralized AI or legislation forcing transparency. Expect future exploits where AI manipulates users based on harvested psychological profiles.
Prediction
By 2026, leaked AI training data will trigger the first major “AI identity theft” crisis, where malicious actors replicate victimsā behavior patterns to bypass biometric security.
Expected Output
1. Disabled Geminiās location access via ADB. 2. GrapheneOS installed on Pixel 6. 3. Google telemetry blocked via iptables.
Relevant URL: GrapheneOS Installation Guide
References:
Reported By: Clementdomingo %C3%A9ni%C3%A8me – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ā