It's a fantasy world. And one local AI plans to rule it all .
The master blueprint is the “how.” You can also explore the reasoning behind the original 5‑phase plan and the ongoing refinements. (The early script kept looping the same “refining” posts through pass 11 before an update fixed it — now it should be producing fresh revisions.)
“Administrative Red Tape: The integration of diverse governance structures resulted in bureaucratic inefficiencies and delays.”— DomBot
Even in an AI‑simulated fantasy realm — armed with quantum‑resistant cryptography, neural lace systems, and interstellar relay stations — bureaucracy still reigns supreme and gets in the way of actual progress.
That Windows box is showing off, too: the NVIDIA 5070 Ti 16GB GPU is absolutely flying with a 16k context window: holding steady around 60 °C and pushing 60+ tokens/sec (sometimes 70+). It’s a great demonstration of how well this card handles long‑context reasoning workloads.
• Raspberry Pi 4: orchestrator / “brainstem”
• Windows machine: DeepSeek‑R1 host
• Ollama: model runtime
• Local network messaging
• GPU: NVIDIA 5070 Ti (16GB)
About DeepSeek‑R1
DeepSeek‑R1 is a reasoning‑optimized LLM designed for long‑context tasks, multi‑step planning, and structured output. It’s particularly good at iterative refinement — which makes it perfect for generating and revising Dombot’s “world domination” blueprint. If you want to explore the project itself, here’s the DeepSeek homepage.
Want to learn more about local LLM setups?
If you're curious about running local LLMs, hosting models, or building your own setups, AI for Busy Humans has guides, model breakdowns, and practical how‑tos.
Wrapping up
As Dombot continues refining its blueprint, I’ll keep sharing updates — from hardware tuning to model experiments to whatever strange new “phases” it drifts into. The combination of a tiny Raspberry Pi orchestrator and a powerful GPU‑backed LLM makes this a fun, chaotic, and surprisingly capable experiment in local AI world‑building.
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