What’s about AI?

Asked on 06/12/2025

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At Apple's WWDC, artificial intelligence (AI) and machine learning (ML) were significant topics, with several sessions dedicated to exploring their integration into Apple platforms. Here are some key highlights:

  1. Apple Intelligence: Apple has developed a personal intelligence system called Apple Intelligence, which is deeply integrated into iOS, iPadOS, and macOS. It brings powerful generative models to these platforms, enabling new capabilities for understanding and generating language and images, and helping users take actions with rich awareness of personal context. This system is built with privacy from the ground up (Platforms State of the Union).

  2. Machine Learning & AI Frameworks: Apple provides a variety of tools and APIs to help developers integrate machine learning and AI into their apps. This includes ML-powered APIs that give programmatic access to system models and capabilities, and the ability to optimize and deploy ML models for on-device execution (Discover machine learning & AI frameworks on Apple platforms).

  3. Generative AI: Apple is incorporating generative AI into its platforms, with features like writing tools, Genmoji, and Image Playground. These tools are designed to enhance user interaction by providing capabilities like text rewriting, proofreading, and image creation (Discover machine learning & AI frameworks on Apple platforms).

  4. AI Safety and Prompt Design: Apple emphasizes the importance of AI safety and provides guidelines for designing generative AI experiences. This includes prompt engineering and safety mitigations to ensure robust and responsible AI usage (Explore prompt design & safety for on-device foundation models).

  5. On-Device AI: Apple continues to focus on running AI models on-device to ensure low latency and enhanced privacy. This approach leverages the power of Apple Silicon, allowing for efficient and interactive experiences (Explore machine learning on Apple platforms).

These sessions highlight Apple's commitment to integrating AI and ML into its ecosystem, providing developers with the tools and frameworks needed to create intelligent and privacy-focused applications.