Image created with gemini-3.1-flash-image-preview with claude-sonnet-4-5. Image prompt: Wide angle aerial photograph of a person in freefall through crisp blue sky wearing Apple Vision Pro headset, arms raised in joyful gesture interacting with invisible AR interface, earth visible far below, bright daylight, the word APPLE in large bold clean sans-serif typography integrated into the composition like a magazine cover, simple uncluttered composition, dynamic action shot, humorous optimistic mood.
Apple introduces iPhone 17e – Apple https://www.apple.com/newsroom/2026/03/apple-introduces-iphone-17e/
Someone just bypassed Apple’s Neural Engine to train models. The Neural Engine inside every M-series Mac was designed for inference. Run models, don’t train them. No public API, no documentation, and certainly no backpropagation. A researcher reverse-engineered the private”” https://x.com/LiorOnAI/status/2028560569952031145
YES! Someone reverse-engineered Apple’s Neural Engine and trained a neural network on it. Apple never allowed this. ANE is inference-only. No public API, no docs. They cracked it open anyway. Why it matters: • M4 ANE = 6.6 TFLOPS/W vs 0.08 for an A100 (80× more efficient) •”” https://x.com/AmbsdOP/status/2028457255968874940
Apple Silicon just leveled up for local LLM dev. @vllm_project is now supported in Docker Model Runner on macOS, so you can run MLX models on an M-series Mac with your existing OpenAI-compatible API and Docker workflow. Update to Docker Desktop 4.62+ and get started. Read more:”” https://x.com/Docker/status/2028470592899354929
Leave a Reply