Origin 22 Research
Autonomous Physics General Intelligence
The world's first digital twin of civilization.
129 coupled physics domains. Zero training data.
First principles. Sub-7 seconds.
The Engine
Ghost doesn't learn patterns from data. It doesn't predict the next token. It propagates causal impulses through a coupled physics mesh — the same way meteorologists forecast weather, but for civilization instead of the atmosphere.
Inject an event — a pandemic, a financial crisis, a geopolitical shock — and watch as cascading effects propagate through healthcare, energy, supply chains, markets, defense, and public psychology. At the correct timescales. In the correct order. From first principles alone.
Validation
Ghost was validated through hindcasting against 10 major civilization-scale events. No event data was used during development. No parameters were tuned to fit outcomes. The system had never seen these events. It predicted them from physics alone.
71.2% timeline accuracy, 100% era detection. Predicted healthcare → logistics → financial cascade sequence.
Predicted subprime → banking → automotive → employment cascade propagation path.
Triple impulse — earthquake, tsunami, meltdown. Predicted nuclear → healthcare → energy policy cascade.
Predicted radiation → agriculture → geopolitical cascade including Soviet institutional crisis.
Predicted aviation → defense → financial → behavioral psychology cascade sequence.
Predicted energy → food → financial sanctions → global supply chain cascade.
Predicted marine biology → fisheries → coastal economy → regulatory cascade.
Predicted food prices → social unrest → governance → regional contagion cascade.
Predicted atmospheric → aviation → supply chain → economic cascade across Europe.
Predicted shipping → energy → manufacturing → consumer pricing cascade.
Architecture
Ghost models civilization as a single coupled dynamical system. Every domain influences every other domain, across multiple timescales, through causal physics. The architecture has no precedent in existing AI or simulation systems.
129 domains connected through 4,200+ coupling edges with physically motivated strengths and activation thresholds. Expert-defined strong couplings combined with algorithmically densified weak-field interactions.
Base-3 temporal hierarchy where each domain evolves on its natural timescale. Molecular dynamics don't fire at the same rate as geopolitical shifts. The system respects the physics of time.
Impulses propagate across temporal scales with physically motivated attenuation. A molecular event can trigger civilizational change — if the physics supports it.
When sustained cross-scale pressure accumulates between domains, the system detects genuinely novel coupling dimensions — phenomena that didn't exist before the simulation ran.
Accumulated impulses that exceed critical thresholds bypass the epoch gate entirely — modeling the real-world phenomenon where pressure builds silently until sudden phase transition.
The system detects civilizational phase transitions — moments when the cascade crosses a threshold that fundamentally reorganizes the system. 95.5% detection rate across all backtests.
“You can’t connect the dots looking forward; you can only connect them looking backwards. So you have to trust that the dots will somehow connect in your future.”
— Steve Jobs, 2005
Lineage
Ghost didn't appear from nowhere. It sits at the convergence of ideas that scientists, mathematicians, and writers have been reaching toward for over 200 years.
Pierre-Simon Laplace proposed that an intellect knowing the position and momentum of every particle could predict the entire future. Ghost is a bounded, practical realization — not every particle, but every domain of civilization, coupled through causal physics.
Wikipedia → 1951In Foundation, Hari Seldon builds a mathematical framework that predicts the behavior of civilizations at scale. Fiction for 75 years. Ghost injects a crisis and predicts the cascade through civilization from first principles.
Wikipedia → 1956The stated goal of OpenAI, DeepMind, and Anthropic — intelligence that generalizes across domains. They're going through language and statistics. Ghost gets there through physics.
Wikipedia → 1984The Santa Fe Institute has spent 40 years studying coupled complex systems — how cascading effects propagate through interconnected networks. Thousands of papers. Nobody built the simulation.
Santa Fe Institute → 2002NASA, Siemens, and GE build physics simulations of individual systems — jet engines, factories, weather. The idea of scaling to everything has been theorized but never attempted across 129 coupled domains.
Wikipedia → 2017The US Department of Defense explicitly funded a program for cross-domain causal modeling. Achieved ~10-20 domains with limited coupling. Ghost runs 129 domains with 4,200+ coupling edges in under 7 seconds.
DARPA →Deployment
Ghost runs on a standard 48-core AWS instance. No GPU clusters. No specialized silicon. No million-dollar training runs. A full civilization simulation completes in under 7 seconds. The entire system deploys as a single Rust binary.
Access
Ghost is available for sovereign, defense, energy, and infrastructure clients. Contact us for a technical briefing and demonstration.
zach@origin22.com