11. DNS

The SFVFS™ DNS programme ran not on a supercomputer but on a Samsung phone, using free Google Colab GPU sessions that expired mid-run, with code written collaboratively by Claude and ChatGPT, debugged on train commutes, and reassembled from fragments when sessions timed out. It crashed constantly. The results survived every attempt to break them. Across six fluids, four computational generations each, twenty-four runs — all canonical as of 23 March 2026 — the programme set out to test whether molecular complexity determines how turbulent fluids settle, and promptly falsified its own hypothesis: helium, hydrogen, water, and saltwater, as molecularly different as physics allows, all run at the same viscosity, all parked at θ_s ≈ 49.7° — identical to three decimal places — establishing Viscosity Law V3: only viscosity matters, molecular structure is irrelevant. The six fluids distributed themselves not on a continuous spectrum but into three discrete, widely-separated groups — the Beehive, with gap sizes roughly a thousand times larger than measurement noise — confirming that the attractor landscape is a set of fixed points, not a gradient. The strangest result came from Glycerol-Water: the turbulence died, the energy collapsed to effectively zero, and yet the geometric attractor held its position, frozen and precise, producing a new category of physical state — Decayed-But-Parked — and the finding that the void cell is stronger than the energy that created it. And across every run, every fluid, every generation, turbulent and decayed alike, one number appeared without variation: phi_az = 180°, spread 0.41°, a universal structural constant that belongs not to any fluid but to the attractor itself.