The AI revolution is accelerating energy demand faster than the grid can answer. Project Black Box is working on that too.
The world's data centers are consuming more power than some countries. The AI revolution is accelerating that demand faster than the grid can answer. Fusion has been a decade away for 70 years — because the field has spent most of that time working on the same assumptions: that driven systems respond linearly, and that stability requires a phase transition to find itself. Project Black Box believes there is a better way.
Two feedback mechanisms — a Reynolds-stress accumulator and a phase-sensitive coherent reinjector — hold a toroidal plasma geometry in a drive-independent attractor. The structured energy state does not respond proportionally to input and does not require a phase transition to sustain itself. This disproves, within this geometry and this mechanism, two assumptions that have anchored plasma physics for seven decades.
A four-stage Dirty Digital Twin stress test — pass/fail thresholds pre-registered before any run started — subjected the mechanism to hardware-realistic constraints: sensor sparsity down to 4 probes, control-loop latency, actuator slew limits, and 40% magnetic ripple in the physically representative parallel-dominant regime. Energy drift: 0.24%. Shape drift: 0.10%. Both two orders of magnitude inside the pre-registered pass thresholds. No exotic components required.
Numerical experiment — not a physical machine. The honest step before bench validation. The code is small. The data is open. The numbers are reproducible.