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I’ve written about Sebastian twice before: once when he was a Caribbean-accented, monocle-wearing AI crab running our family’s digital life on OpenClaw, and once when we rebuilt him on Open WebUI and Ollama.
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Last month I wrote about importing six thousand rural dispatch targets out of an old federal dataset like churches, cemeteries, dams, post offices, etc. to fix the small-town coverage gap.
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I wanted to build something that didn’t just solve a math expression, but actually showed you what was happening at every stage, how the expression gets broken apart, and in what order the operations get resolved.
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I spend a fair amount of my spare time running AI models on my own hardware.
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I built a little web app to solve a problem that sounds trivial until you actually need it: turning a highway milepost into GPS coordinates.
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A game that sends you out into the real world, and quietly helps map it.
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If you’ve been following along with my earlier Sebastian post, you know I’ve been rebuilding our family AI assistant on a different foundation: Open WebUI + Ollama instead of our previous OpenClaw setup.
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I introduced Sebastian a while back, our Caribbean-accented, monocle-wearing crab of a family assistant who runs the household’s digital plumbing.
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When I posted about Dispatch Zero a month ago, I mentioned that the app was built from a town of about four hundred people, and that small-town coverage was the part of the system that worried me most.
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If you’ve got an AMD Ryzen 7040 or 8040 series chip — laptops, mini PCs, the Phoenix family of APUs — you’ve got a Radeon 780M iGPU sitting there. gfx1103 in ROCm terminology.