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Apple M4

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Jeff: open-source 0.8B zero-shot decision models compatible with Jev API

An independent developer released Jeff, a set of small fine-tuned models (based on Qwen3.5 and Gemma 4) that return calibrated probabilities across user-defined options in a single forward pass, taking roughly 22-28ms per decision on consumer hardware like an RTX PRO 6000 or Apple M4 Max. The models share Jev's request format but were trained entirely locally using synthetic data generated by an open model, with no cloud GPUs or closed-model training data involved. Three model variants are available on Hugging Face: Jeff-Qwen3.5-0.8B, Jeff-Qwen3.5-2B, and Jeff-Gemma4-E2B.

Nvidia's PAIR Tool Turns Home Devices Into a Shared AI Computing Network

Nvidia has released PAIR, a free open-source beta tool that connects compatible devices on a home network to pool their unused processing power for local AI inference and agentic tasks. It works with GeForce RTX 20-series and newer GPUs, RTX Pro cards, DGX Spark systems, and Apple M4 or later chips, running on Windows, Linux, and macOS.

Apple's 2026 hardware count reaches 11 with Mac mini and Mac Studio refresh

Apple has rolled out 11 new hardware products through 2026, starting with a second-generation AirTag in January and continuing through a dense March launch that included the iPhone 17e, M4 iPad Air, updated MacBook Air and Pro, new Studio Displays, the budget MacBook Neo, and AirPods Max 2. In August, Apple added updated Mac mini and Mac Studio models built around its new M6 chip, with faster storage, Wi-Fi 7 and Bluetooth 6.