Siri Redesign and Customizable Camera? Biggest iOS 27 Leak Ahead of WWDC 2026
INSIDE 硬塞 AI4d agoReleaseINSIDE reports that a major iOS 27 leak points to a redesigned Siri experience, potentially arriving as a standalone app rather than only a system voice assistant. The new Siri is said to integrate deeply with Dynamic Island, suggesting a more visible and persistent interaction layer. The headline also mentions camera customization, but the available text does not provide enough detail to confirm how that feature would work.
Sneak peek at new Siri app reveals Apple’s plans to take on ChatGPT and more
TechCrunch AI5d agoReleaseTechCrunch reports that new renders provide a closer look at Apple’s planned AI overhaul for iOS 27. The preview points to a redesigned Siri experience and a standalone Siri app, suggesting Apple may reposition Siri as a more central AI interface. The article frames the move as part of Apple’s effort to compete with ChatGPT, though the provided text does not specify models, features, APIs, or launch details.
OpenAI feels “burned” by Apple’s crappy ChatGPT integration, insiders say★ 75
Ars Technica AI18d agoBusiness根據最新法庭裁決，法官已下令 Apple 必須向 Elon Musk 提交涉及其與 OpenAI 秘密交易的內部溝通訊息。此一法律爭議曝光之際，更有內部消息指出，OpenAI 對於 Apple 在其系統中「糟糕的」ChatGPT 整合方式感到極度失望與受挫（feels "burned"），認為該合作未達預期，雙方合作關係似乎出現裂痕。
Introducing AnyLanguageModel: One API for Local and Remote LLMs on Apple Platforms★ 75
Hugging Face Blog194d agoNew ToolHugging Face 推出開源 Swift 庫「AnyLanguageModel」，專為 Apple 平台（iOS/macOS 等）設計。它提供統一的 API 介面，讓開發者能無縫切換運行於裝置本地的輕量模型（如經由 CoreML）與雲端的強大遠端模型。這大幅簡化了 Apple 生態系中的 AI 應用開發流程，兼顧隱私、離線可用性與運算效能。
SOTA OCR with Core ML and dots.ocr★ 72
Hugging Face Blog243d agoRelease本文介紹了 dots.ocr 模型與 Apple Core ML 框架的結合。透過將 SOTA 等級的 OCR 模型轉換為 Core ML 格式，開發者可以在 iPhone、iPad 和 Mac 上實現高效能的本地端文字辨識。這不僅大幅降低了延遲，還能完全在裝置端運行以保護用戶隱私，是 iOS 與 macOS 開發者整合 AI 視覺功能的新利器。
Swift Transformers Reaches 1.0 – and Looks to the Future★ 75
Hugging Face Blog249d agoReleaseHugging Face 正式推出 Swift Transformers 1.0，這是專為 Apple 生態系（iOS、macOS 等）設計的開源庫，旨在簡化本地端 AI 模型的部署。此版本帶來了顯著的效能提升與 API 穩定性，深度整合 Apple 的 Core ML 與 Metal 框架，讓開發者能更輕鬆地在裝置上執行 Llama、Whisper 等熱門模型。1.0 版本的發布標誌著該專案已達生產環境就緒階段，未來將持續優化記憶體佔用並支援更多新一代的 Apple 晶片架構。