Imagine finishing an entire client workload… while flying across the Atlantic with no internet. That’s exactly what one developer did by running Llama 70B locally on a MacBook for an 11-hour flight. No cloud. No Wi-Fi. No remote servers. Just a MacBook Pro M4 with 64GB RAM, running a quantized Llama 3.3 70B through llama.cpp at around 70 tokens per second. A lightweight orchestrator managed a live queue of client tasks, saved outputs directly to disk, and kept regular checkpoints so even battery swaps wouldn’t break the workflow. By the time the plane landed, every task in the queue was done. That’s the real story here. We’re no longer talking about AI as something that only works in massive data centers. A 70B model handling real production work completely offline on consumer hardware changes the game. Local AI is no longer an experiment. It’s becoming real, practical, and ready for everyday work. 👉👉Fallow aiupdates.hub for daily insights that keep you ahead in AI, Tech an...