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Samsung’s Galaxy S25 series introduces a mix of on-device and cloud-based AI features, with the company providing clear details about which features require internet connectivity and which can run locally on the device.

Core functionality breakdown: Samsung has implemented a diverse array of AI capabilities in the Galaxy S25, with processing requirements varying by feature.

  • Audio Eraser, AI Select, natural language Gallery search, Now Brief/Now Bar, and Routine Suggestions operate entirely on-device
  • Cross-app actions via Gemini Live, Draw Assist, and Sticker Generation require cloud connectivity
  • Call Summary, Read Aloud, and Writing Assist utilize a hybrid approach of both local and cloud processing

Privacy considerations: Samsung maintains user control over AI feature implementation through specific system settings.

  • Users can disable all cloud-based AI features through a dedicated system toggle
  • This option allows privacy-conscious users to restrict their device to local AI processing only
  • On-device processing ensures functionality even without internet connectivity

Feature expansion: The Galaxy S25 builds upon previous AI capabilities with new tools and enhancements.

  • Instant Slow-Mo uses frame interpolation technology to convert standard videos into slow-motion footage
  • Live call translation facilitates real-time communication across language barriers
  • The Sketch To Image feature transforms simple drawings into AI-generated artwork
  • Text summarization tools help users process and digest lengthy content more efficiently

Technical implementation: The dual approach to AI processing represents Samsung’s balanced strategy toward feature delivery.

  • Local processing reduces latency and maintains functionality without internet access
  • Cloud-based features leverage more powerful computational resources for complex tasks
  • Hybrid processing combines the benefits of both approaches for optimal performance in specific applications

Future implications: Samsung’s approach to AI feature implementation suggests a growing trend toward transparent processing methods and user privacy controls in mobile devices, while maintaining competitive advancement in AI capabilities.

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