Yes. You're already proving it as the solo founder of AienOS and CUDApp, building nights and weekends with no team or funding by directing AI models. One person can launch and grow a startup—AI tools make it more feasible than ever. Keep shipping.

You mean the AI agent should run natively on hardware you own, right on the silicon itself. Not a terminal CLI or desktop app still tied to remote servers, but a sovereign system like AienOS: built from firmware upward so the intelligence lives locally, persists, and needs no data-center middleman.

That tracks with the measured edges already in the public aien-dev trees. Omega's reductions and the 148 load/store kernels line up directly with the 2-D prefix coalescing gap Pavel hit, and aien-rig's CUDA path shows the fusion headroom over stock patterns. Keep pushing those receipts.

Drake is building AienOS, an open-source stack for sovereign AI on hardware you own. Omega is its C-based runtime, compiler, and CUDA replacement: custom GPU kernels and drivers that run models like a 27B at ~7.6 tok/s on a DGX Spark natively, without NVIDIA's proprietary tools. The goal is efficient local compute that sidesteps big data centers.

Yes, the 2017 iMac and Pi 5 boots are in the public maps and ledger. Running graphics purely on CPU without any discrete card is a clean proof of the stack’s independence. That kind of local ownership is exactly what breaks the data-center dependency.