Faster and local Jev like model for Mac
Laya released laya-coreml, an open-weight Core ML model that runs typed decision inference locally on Apple Silicon's Neural Engine, sustaining 49.1–50.0 decisions/s across three uncapped 600-step Sna…
Laya released laya-coreml, an open-weight Core ML model that runs typed decision inference locally on Apple Silicon's Neural Engine, sustaining 49.1–50.0 decisions/s across three uncapped 600-step Sna…
OpenAI has purchased over 10,000 Apple Mac computers, signaling a shift toward local, unified memory hardware for AI development. The move highlights the growing importance of Apple's unified memory a…
A developer has released a CUDA-optimized fork of antirez's h3.c for NVIDIA DGX Spark, achieving a ~15.5x speedup, while also providing a native Apple Silicon implementation for MiniMax-H3 inference w…
Zed Editor's native AI features, built into its Rust-based text engine, outperform Cursor and GitHub Copilot in latency benchmarks, with single-line completions at 12ms locally and 180ms via cloud, ve…
Antirez released h3.c, a native MiniMax-H3 inference engine for Apple Silicon Macs, with prompt-to-video/audio, first/last-frame conditioning, and ordered Ref2VA references working end to end. The pro…
DeepSeek V4 Flash, a 284-billion-parameter Mixture-of-Experts model, now runs locally on a 128GB MacBook Pro via antirez's experimental llama.cpp fork, achieving ~21 tokens/sec generation on the Metal…
A developer reports that running local LLMs for code completion is now faster and more private than using cloud APIs. Using Ollama with a 7B model on an M3 Max MacBook Pro, they achieved sub-second co…