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WWDC 2025:AI不够力,用改名和换设计来顶上
3 6 Ke· 2025-06-09 22:21
Core Viewpoint - The 2025 Apple Worldwide Developers Conference (WWDC) focused primarily on software innovations, with no new hardware announcements, reflecting a more subdued event compared to previous years [1][2]. Group 1: Software Innovations - Apple announced a more open approach to AI by allowing third-party developers to integrate its core language model into applications, enhancing privacy and reducing costs [2] - All operating systems received a redesign called Liquid Glass, marking the first major aesthetic overhaul since iOS 7, inspired by Apple Vision OS [4][6] - The naming convention for operating systems has changed to a yearly format, such as iOS 26 and macOS Tahoe 26, with Tahoe named after a famous lake [6] Group 2: AI Features - Apple introduced real-time translation capabilities based on Apple Intelligence, allowing users to communicate across platforms without requiring the other party to use an iPhone [8] - A new visual intelligence feature enables users to take screenshots for product searches, automatically identifying items and facilitating cross-application searches [9] - The iOS 26 includes a call assistant that filters out unwanted calls by displaying caller information only after identifying the purpose of the call [11] Group 3: System Enhancements - macOS Tahoe 26 features a significant update to Spotlight, expanding its functionality beyond simple searches to include music playback and note creation [14] - The iPadOS 26 introduces a redesigned window system, allowing users to open multiple windows and arrange them flexibly [17] - VisionOS 26 incorporates widget functionality, enabling users to place widgets in their physical space, maintaining their positions even after rebooting [21] Group 4: New Functionalities - The Vision Pro now supports a new hardware feature allowing users to draw in 3D space using the Logitech Muse smart pen [25] - watchOS 26 introduces a Workout Buddy feature that provides personalized encouragement during workouts based on past fitness data [29]