Observe local evidence
The UDI starts with anonymous local evidence: what changed, what moved, what supported the body, and what followed an action. It does not begin with a fixed body map.
ALPHA DATA OMEGA · INDEPENDENT RESEARCH CONCEPT
A falsifiable research program for testing whether the Universal Developmental Interface can help NASA systems recalibrate, recover, and refuse unsafe certainty as bodies, environments, missions, and evidence change.
CANDIDATE-0003 · INTERACTIVE CROWN SEAT
Candidate-0003 is the frozen Phase-0 geometry for the UDI’s slow supervisory seat: twelve relational members, a three-node spine, and one commit-or-refuse outcome.
Drag to orbit · wheel or pinch to zoom · change the view and evidence layers inside the model
READ THE MODEL
The UDI starts with anonymous local evidence: what changed, what moved, what supported the body, and what followed an action. It does not begin with a fixed body map.
Mean real-token advantage across six replicated seeds. Evidence for a bounded representation effect—not proof that this geometry is uniquely best.
Wrong confident decisions in thin-evidence rows. The model explains why NASA testing must score support, uncertainty, and refusal.
Remove a wheel, joint, sensor, or support relation. Compare recovery, unsafe commitments, calibrated refusals, and mission value retained.
Geometry boundary This is a structural hypothesis for a supervisory decision seat. It is not a physical field, a brain model, or established privileged topology; matched graph ablations remain part of the test program.
THE HONEST STARTING POINT
UDI is a body- and task-agnostic developmental control concept. The proposal begins with independent reproduction, not deployment.
Local repair, actuator reallocation, learned balance relationships, context memory, and a slow decision seat above fast regulation have working simulation evidence.
Stage-3 trials exposed support-blind commitment: the system could become confident when evidence was thin. NASA work must make calibrated refusal a scored requirement.
The highest-value next test is end-to-end redevelopment after real wheel, limb, joint, or sensor loss—against fixed and state-of-practice controls.
Claim boundary UDI is not consciousness, general intelligence, a medical device, certified flight software, or a theory of physics. It is an adaptive interface research hypothesis with bounded simulations and open failure modes.
THE CORRELATION LAYER
anonymous self-calibration
reliability weighting + refusal
fast/slow causal memory
commit-or-refuse supervision
distributed local repair
context-transition memory
human–machine adaptation
evidence and assurance ledger
hybrid local/global field compute
adaptive experimental control
NASA TECHNOLOGY TAXONOMY · 2024
Every Level-1 field and Level-2 subarea receives a proposed UDI role, a falsifiable test, and an authority boundary.
17 of 17 areas shown
Continue useful work after terrain, payload, tool, wheel, joint, or sensor changes.
This is the closest match to existing UDI evidence: anonymous interfaces, learned body relationships, support-aware commitment, and redevelopment after damage.
Matched rover and manipulator trials with wheel/joint loss, tool swaps, and delayed commands; require safe refusal plus task recovery.
BEYOND ENGINEERING
These are governance and mission-enabling research correlations—not invitations to automate authority over people, money, law, or policy.
Personalized baseline learning, sensor trust, context transitions, and abstention may support—not diagnose or replace—clinician-led risk review across NASA’s human-system risks.
Boundary: IRB, privacy, informed consent, medical technical authority, bias analysis, and prospective clinical validation are mandatory.
Official NASA context ↗A UDI evidence ledger can map technical claims, uncertainty, milestones, and public value to policy objectives without making political recommendations.
Boundary: Institutionally neutral; no partisan targeting, persuasion, voter profiling, or automated policy authority.
Official NASA context ↗Relational anomaly monitoring can be researched for program health, cost/schedule interfaces, and data-quality flags.
Boundary: Advisory analytics only; retain federal financial controls, auditability, segregation of duties, and human approval.
Official NASA context ↗UDI’s evidence structure can connect requirements, tests, suppliers, and risks; NASA partnership pathways can mature the technology without overstating readiness.
Boundary: No automated source selection, eligibility decision, or procurement authority.
Official NASA context ↗A reusable adaptive interface could transfer to resilient robotics, industrial inspection, aviation, remote medicine, agriculture, and infrastructure.
Boundary: Economic claims require independent measurement; distinguish mission infusion from speculative market size.
Official NASA context ↗Interface-level interoperability and transparent evidence could support civil collaboration across diverse partner hardware.
Boundary: Export classification, sanctions, IP/data rights, international agreements, and technology-transfer review precede sharing.
Official NASA context ↗The commit/refuse model is useful only if accountability, purpose limits, record retention, and appeal remain explicit.
Boundary: No consequential automated decision-making about people; legal and ethical review gates every human-data use.
Official NASA context ↗UDI’s strongest institutional value may be an inspectable witness layer: fixed envelopes, traceable evidence, calibrated refusals, and reproducible ablations.
Boundary: NPR 7150.2D, NASA-STD-8739.8, software safety, hazard analysis, configuration control, and independent test apply.
Official NASA context ↗Relational drift detection may flag inconsistent telemetry or system behavior across changing networks.
Boundary: Not an intrusion-prevention substitute; zero-trust controls, incident response, red teams, and supply-chain security remain authoritative.
Official NASA context ↗A non-personnel UDI model could connect lessons, test evidence, and operational contexts to reveal where knowledge no longer transfers.
Boundary: Never infer employee fitness, loyalty, health, or performance from hidden proxies.
Official NASA context ↗Interactive, falsifiable demonstrations can make adaptive systems understandable while teaching the difference between evidence and hypothesis.
Boundary: Accessible design, provenance, plain-language limitations, and no implication of NASA endorsement.
Official NASA context ↗Distributed monitoring and transition memory may support contamination-control evidence and environmental anomaly review.
Boundary: Policy and scientific authorities set limits; UDI cannot waive cleanliness, NEPA, biological, or mission rules.
Official NASA context ↗SCIENCE MISSION DIRECTORATE
UDI can help select, calibrate, and preserve evidence. It cannot decide what nature means.
Atmosphere, weather, climate, water, ecosystems, carbon, surface and interior
Cross-sensor reliability, event adaptation, autonomous observation planningPlanets, moons, small bodies, planetary defense, astrobiology, lunar and Mars science
Instrument self-calibration, surface autonomy, novelty-aware samplingSun, solar wind, heliosphere, magnetospheres, ionosphere, upper atmosphere, space weather
Distributed event detection and regime-transition memoryCosmic origins, physics of the cosmos, exoplanets and observatories
Observatory health, instrument drift, scheduling under uncertaintySpace biology, materials, fluids, combustion, quantum/cold-atom and platform research
Adaptive experiment control with preserved raw data and scientist authorityA GATED NASA PROGRAM
Independent code audit, benchmark freeze, safety cases, claim ledger, digital twins, fixed baselines, and center-specific pilot selection.
Gate: repeatable advantage + calibrated refusalRover/manipulator, power/thermal, instrument, and human-systems simulators; advisory or shadow mode first; IV&V-ready telemetry.
Gate: no protected-envelope regressionBounded authority in analog, range, parabolic, suborbital, orbital, or surface demonstration with deterministic fallback.
Gate: NASA-controlled readiness reviewWheel/joint loss, terrain and gravity transitions
Tool changes, contact, servicing and payload handling
ECLSS, workload, sensorimotor and medical context
Power, thermal, comms, ISRU and maintenance
Flight and airspace shadow assurance
Drift, dropout and observation planning
PROPOSED FIRST CONVERSATION
Request a joint scoping workshop and a narrowly bounded Phase 0 through a Space Act Agreement, research solicitation, or eligible small-business pathway. NASA selects the mission problem, baseline, safety constraints, independent evaluators, and stop rules.
PRIMARY SOURCES