The 10% AI Extinction Number Does Not Measure "AI": It Mixes Two Different Objects
Research monograph v3.8-EN — admission kernel and applied non-identifiability of unconditioned expert AI-risk aggregates
Exploration and Propulsion Systems
ElarionX develops engineering technology for space exploration and cryogenic propulsion. We are building it the only way that holds up: evidence first — models that are measured, uncertainties that are stated, and claims that anyone can check.
ElarionX is an independent exploration and propulsion systems company. Our long-term goal is cryogenic propulsion technology — the tanks, fluid management and engineering models that deep-space missions and the hydrogen economy will depend on.
We are early, and we say so. What exists today is published, verifiable engineering work — and the discipline to grow from it. Nothing we claim in public exceeds what our evidence supports. That rule is not marketing; it is our method.
No claim above its evidence. Every published result carries the level of authority its evidence actually supports — and exploratory work is labelled exploratory.
Every result is intended to be reconstructable by someone who does not trust us: exact data, exact configuration, stated uncertainty, permanent identifiers.
Refuted predictions and negative results are published with the same prominence as successes. A track record that hides its misses is not a track record.
The measurement and evidence program. CPMS audits the public experimental record for cryogenic propellant systems and evaluates how well the models the industry relies on actually predict it — publishing error, uncertainty, and the limits of what can be known, reproducibly.
Enter program →Audit the experimental record. Establish what is actually known, and how well.
Benchmark and build models against that evidence, with stated uncertainty.
Use trusted models to explore and develop our own cryogenic system designs.
Physical systems — when the evidence, partners and testing exist to earn them.
Research monograph v3.8-EN — admission kernel and applied non-identifiability of unconditioned expert AI-risk aggregates
What observer-to-proper-time ratio a returning spacecraft can collect, once the exit is limited to published plasma and nuclear-thermal plants