Mark Poiler (@mpoilerfx) “A writer took a full AI library off-grid: DeepSeek R1, Qwen3 30B, Kimi, coder mo” — TopicDigg

A writer took a full AI library off-grid: DeepSeek R1, Qwen3 30B, Kimi, coder models, embedding models, all running from one machine on a patio table. No connection required. No subscription. No tokens billed. The video scrolls his ollama list like a bookshelf: deepseek-r1, qwen3:30b-a3b, kimi thinking variants, coder models, embedding models, some pulled 2 days ago, some 2 weeks. Dozens of gigabytes of intelligence sitting on a local drive. The wins: The screen shows what he uses it for. Verse in the style of Rumi about machines learning to dance. A short story about an intern named Alex wandering a computer history museum past vacuum tubes and a humming PDP. Every word generated on the spot, outdoors, by models he owns. The pain: A library this size eats storage and memory, and memory is the cruelest market of 2026, DRAM up 90% in Q1. The heaviest frontier reasoning still lives in the cloud he left behind. He writes with it anyway, in daylight, no wall of GPUs in sight. One machine, a chair outside, and every model on the menu. The muse used to bill monthly. His sits on the hard drive.