A world modelforstreaming reality
Calibrated, multi-future prediction on a quantum-information formalism — density-matrix belief states — toward a Grand Unified World Model.
● Early-stage · built in the open
The future is not a single guess.
Most predictive systems collapse what comes next into one answer. Reality doesn't work that way — it branches, stays uncertain, and resolves over time.
We study how to represent that honestly: a distribution over futures that stays calibrated as evidence arrives.
Borrowing the mathematics of uncertain, open systems.
Physics already has a language for systems that are genuinely uncertain and coupled to their environment. We build on it.
Belief states
Representing mixed, uncertain states — not single point estimates.
Open-system dynamics
Belief evolving under an environment, not in isolation.
Symmetry
Dynamics grounded in the conservation principles physics relies on.
Calibration
Measuring whether our distributions over futures are honest — not just plausible.
A note on novelty — the quantum-information formalism here is a representational choice, not a performance or quantum-hardware claim. Density-matrix belief states are shared prior art (HQMMs, quantum cognition, Riechers, UWM-JEPA); our contribution is the integrated, outcome-scored system, not the formalism.
A settlement layer for machine predictions.
Anyone can generate plausible futures; almost no one will be scored. Our near-term work is concrete — making predictions accountable.
Each prediction is frozen before the fact, resolved later by independent sources, and mechanically scored — producing a tamper-evident receipt anyone can verify, without trusting us.
Built to be scored — in public.
Honesty is the whole point, so we hold our own engine to the same ledger we publish. Predictions are checked against what actually happened and scored head-to-head against simple baselines — persistence, constant-velocity. We report where we win and where we lose.
Open protocol & scoring code — Apache-2.0
A free, public calibration leaderboard
Our own engine scored — wins and losses
Negative results published, not buried
Scores can't be bought or deleted
Receipts you verify without trusting us
Can a single formalism unify how we model streaming reality?
The near-term work is concrete — and scored. The longer aim is more ambitious: a Grand Unified World Model. We treat it as a question to be earned, not claimed.
What this is not — not a foundation model, not video analytics, not an oracle. Omytea does not make individualized medical, legal, or financial predictions.
A small lab, working in the open.
An independent research program founded in 2026 — publishing openly, building open tools, and collaborating with researchers in world models, quantum information, and computational physics.
Jiaxuan Chen — M.S. Physics, Brown University.
Haochen Wang — M.S. Physics, Brown University; M.S. in the sciences, UCLA.
Omytea LLC — a Wyoming-registered entity.
We welcome collaborators.
If your organization has real video, sensor, or agent state and wants calibrated predictions scored against reality, we're looking for a first design partner.
And if you work on world models, quantum information, or the calibration of prediction — we'd like to hear from you.
contact@omyteaai.com