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GitHub - kksimp/Mac.apk: Mac.apk: Run Android apps natively on Apple Silicon Macs
github.com/kksimp/Mac.apk

Apple’s big AI week ends with Mac + Muse AI supercomputers: Apple and Meta bring Muse Spark Open to Mac Studio, MLX gets an upgrade and more.
computerworld.com/article/4236527/apples-big-ai-week-ends-with-mac-muse-ai-supercomputers.html

Minecraft Bedrock Edition is running on macOS thanks to a new fan-made project — Even Apple fans can crossplay with Windows
windowscentral.com/gaming/minecraft/minecraft-bedrock-edition-is-running-on-macos

Asahi fork embraces LLMs and lands Linux on the M4 Mac mini: Coding agents helped two developers build an accelerated desktop and graphics driver in weeks
theregister.com/os-platforms/2026/09/25/asahi-fork-embraces-llms-and-lands-linux-on-the-m4-mac-mini/5298931

GitHub - jundot/omlx: LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar
github.com/jundot/omlx

GitHub - CreativeBeastDesign/NeoDiffusion: Experiments with diffusion LLMs on Apple Silicon
github.com/CreativeBeastDesign/NeoDiffusion
GitHub - beamivalice/PonyExl3: Convert and Run Exl3 format LLM quant on Apple Silicon.
github.com/beamivalice/PonyExl3

GitHub - ashhart/TensorFold: Fast, exact LLM decoding on Apple Silicon (MLX) behind an OpenAI-compatible endpoint
github.com/ashhart/TensorFold

Apple’s new Foundation Models explained: on-device AI, cloud AI, and everything in between
9to5mac.com/2026/06/11/apples-new-foundation-models-explained-on-device-ai-cloud-ai-and-everything-in-between/

GitHub - enescingoz/mac-llm-bench: Community benchmark database for running LLMs on Apple Silicon Macs
github.com/enescingoz/mac-llm-bench

GitHub - Alex188dot/ziggy-llm: Mac-first GGUF inference engine in Zig with first-class Apple Metal support
github.com/Alex188dot/ziggy-llm

GitHub - Arthur-Ficial/apfel: Apple Intelligence from the command line. On-device LLM via FoundationModels framework. No API keys, no cloud, no dependencies.
github.com/Arthur-Ficial/apfel

GitHub - joshuagamboa/turboquant-apple-silicon: High-performance Rust integration for aggressive KV cache quantization on Apple Silicon GPUs (Metal) ...
github.com/joshuagamboa/turboquant-apple-silicon

GitHub - neuromaniacMD/llm-bench: Cross-machine LLM benchmark: Apple Silicon (MLX) vs AMD GPUs (llama.cpp ROCm/Vulkan)
github.com/neuromaniacMD/llm-bench

GitHub - uncSoft/anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon: Local LLM Testing & Benchmarking for Apple Silicon - uncSoft/anubis-oss
github.com/uncSoft/anubis-oss

Apple has a sleeper advantage when it comes to local LLMs: Local LLMs thrive on Apple's hardware, and a huge part of it is thanks to MLX.
xda-developers.com/apple-sleeper-advantage-local-llms/

How Apple accidentally made the best AI computer: Apple is perceived as the laggard in the AI race — despite that, the company has developed the single best ...
cultofmac.com/news/mac-studio-ai-performance

New iPad Air launch live blog: everything you need to know about Apple’s new tablet
digitaltrends.com/mobile/new-ipad-air-live-blog/

What is Apple’s generative AI strategy?: All signs indicate that Apple is creating the grounds for a platform shift that will enable it to become a major player ...
venturebeat.com/ai/what-is-apples-generative-ai-strategy/

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