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Google Gemma 3n is What Apple Intelligence Wants to Be

  • Apple introduces 'Foundation Models' framework with a 3-billion parameter on-device model optimized for performance on Apple Silicon.
  • The model supports 15 languages, text and image processing, and tasks like summarizing, extracting key information, and original content creation.
  • Google's Gemma 3n poses direct competition, operating on phones, tablets, and laptops with text, image, and audio inputs.
  • Gemma 3n is praised for its multimodal capabilities, open-source approach, and collaboration with hardware manufacturers for optimized performance.
  • Apple Intelligence uses a hybrid approach combining on-device processing with cloud-based computation, unlike Gemma 3n's on-device capabilities.
  • Google is integrating AI deeper into the Android ecosystem, allowing smartphone users to run large language models locally through the Edge Gallery app.
  • Apple enhances its AI features with Live Translation, Image Playground, Genmoji, Visual Intelligence, and Workout Buddy, integrated deeply into the operating system.
  • Apple claims superiority over Qwen and Gemma models in various languages, though Siri received minimal focus during WWDC 2025 due to quality concerns.
  • Apple's software chief revealed that Siri demos met internal standards poorly, leading to non-release; Google's pace-setting in AI poses a challenge for Apple's future approach.
  • Apple's subtle integration of AI may need to evolve in the face of Google's advancements.
  • Google Gemma 3n article is eligible for a web story.

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