A developer just ran a 70B Llama model locally… for an entire 11-hour flight.
No internet. No APIs. Just a MacBook Pro M4 with 64GB RAM running a quantized Llama 3.3 70B via llama.cpp at ~71 tokens/sec.
Instead of working task by task, he queued client requests, saved outputs to disk, and added checkpoints every 12 jobs so it could resume even after a battery swap.
By landing, everything was done.
This is the shift. A 70B model handling real workloads on consumer hardware, fully offline.
Local AI isn’t experimental anymore. It’s usable.
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