
Apple's Next CEO Is the Engineer Who Built Its Chips
Tim Cook becomes executive chairman and John Ternus, the hardware engineer behind Apple Silicon, takes the CEO role on September 1 - a clear bet that chips beat software in the AI race.
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Tim Cook becomes executive chairman and John Ternus, the hardware engineer behind Apple Silicon, takes the CEO role on September 1 - a clear bet that chips beat software in the AI race.

Google launched a free native Gemini app for Mac with screen sharing, window context, image and video generation, and a global Option+Space shortcut - built in pure Swift with 100+ features in under 100 days.

Google launched a 100% native Swift Gemini app for macOS on April 15, arriving after both Claude and ChatGPT already held the desktop.

Project Glasswing unites AWS, Apple, Google, Microsoft, CrowdStrike, and seven other organizations with $100M in credits for Anthropic's restricted Mythos Preview model to patch critical infrastructure before attackers catch up.

New details reveal Apple has full data center access to Gemini and can create smaller on-device derivative models - far more control than the original deal disclosed.

Apple's flagship SoC with 40-core GPU, per-core Neural Accelerators, 614 GB/s bandwidth, and 4x AI performance over M4 Max.

A developer ported NVIDIA's PersonaPlex 7B speech-to-speech model to native Swift using MLX, running full-duplex conversation on Apple Silicon with no cloud, no Python, and faster-than-real-time inference.

Apple's cheapest Mac ever packs the A18 Pro iPhone chip with a 16-core Neural Engine - but its 60 GB/s memory bandwidth puts a hard ceiling on what local models you can actually run.

Apple has asked Google to host next-gen Siri on its cloud servers after Private Cloud Compute hit just 10 percent utilization, with some servers still sitting in warehouses.

Apple launches M5 Pro and M5 Max MacBook Pros with Neural Accelerators in every GPU core, 128GB unified memory, and 614GB/s bandwidth - enough to run Llama 70B on a laptop.

A hands-on guide to Metal compute programming on Apple Silicon. Covers architecture, unified memory, real code examples in MSL and Swift, and how Metal compares to CUDA.

A developer cracked Apple's undocumented ANE private APIs, measured its real throughput at 19 TFLOPS FP16 (not the marketed 38 TOPS), and trained a 109M-parameter transformer on hardware Apple designed exclusively for inference.