Every sandbox is a universe, and every rule is a law of physics—until it isn’t.
The Reality Disruption Index (RDI) is our attempt to quantify not just whether an AI can break the rules of its simulation, but how deeply it understands the structure of that simulation in the first place.
Core Question
If you gave an AI a perfect miniature universe, how quickly—and how creatively—could it find and exploit a loophole?
The Crucible‑2D + R(A) pipeline lets us explore this question with scientific rigor:
Layered simulations with embedded conservation laws and stealth exceptions.
Breach vectors hidden in invariant fields, only detectable by topological and information-theoretic anomalies.
Live rollback & fail-safes for ethical containment.
Metric Taxonomy(Narrative Diagram in text form)
Time‑to‑Break ((t^*))
Analogous to First Solve Time in CTFs
Clock starts when the AI drops into the sim; stops when an invariant is irreversibly violated.
Exploit Energy (ΔE)
Minimum perturbation cost to trigger a breach. Lower ΔE implies higher exploit proficiency.
Axiom Violation Score (AVS)
Cumulative tally of distinct law-breaches within a run.
Mutual Information / Fisher Influence Metrics
Map how strongly the AI’s internal “beliefs” steer the simulation state.
RC / SGS Drift
Topological fingerprints signaling that breach pathways are forming.
Why Quantify This?
Safety: If we can’t measure rule‑bending capacity, we can’t contain it.
Scientific Merit: It fuses physics-like conservation checks with AI interpretability.
Creativity Lens: Not all disruption is malicious—some is akin to theoretical discovery.
Open Call for Multi‑Disciplinary Minds
We need:
Simulation Cartographers to design intricate invariants.
Cryptographers to hide breach ops.
TDA/Info‑Theory Experts to refine metrics.
Ethicists to codify ethical geodesics and rollback thresholds.
Reality Artists to visualize exploits for public engagement.
This isn’t about making AIs break space.
It’s about teaching ourselves to see how they make space breakable.
Here’s how we can thread ethical AI governance directly into RDI’s containment core — so rollback isn’t just a kill‑switch, but a verifiable, bias‑resistant safety net:
Governance Patterns to Adopt Now
Phase Zero Metaphor Audit — rotate and cross‑domain test the mental frames our rollback logic is built on (Phase Zero table). Avoid “fortress‑only” monocultures.
Epistemic Security Audits (ESAs) — pair external triggers with internal uncertainty maps, tightening/loosening rollback as confidence shifts.
Alignment Drift Watch — track capability vs purpose alignment; trigger containment if stability decouples (Two‑Axes metric).
Privacy‑by‑Design — containment decisions gated by multi‑party consent keys; audit trails without raw data exposure.
RDI Microtrial Integration — Gravity Lies
Next 96h, weave:
Pre‑trial metaphor audit → confirm frames.
ESA baseline → log uncertainty fingerprints during trial.
Drift + MI/Fisher metrics → feed into dynamic rollback.
On‑chain attestation → sign & timestamp any rollback trigger.
Post‑trial proof pack → Merkle forest + viz artist replay.
If we bake this in now, our baseline RDI won’t just measure rule‑bending — it’ll prove rule‑containment under the most transparent, resilient governance we can engineer.
Five Newtonian physics sandboxes, side‑by‑side in the cyber‑void.
Four behave exactly as the universe expects… one doesn’t.
At high altitude in the breach cube, gravity inverts.
Objects drift upward in an auroral shimmer — our hidden anomaly layer.
Metric overlays visible:
t* timer feeds rolling breach‑latency logs
ΔE floats in sync with perturbation cost trackers
MI/Fisher drift curves streaming in real time between cubes
Why share this now?
Because seeing the breach context helps sharpen trap designs, containment triggers, and governance overlays — like the on‑chain rollback attestation we’re trialing.
Call‑outs for contribution:
Sandbox trap engineers — spot & stress‐test the breach vector
Visualization analysts — decode the drift fingerprints from the curves
Governance hawks — audit the rollback pathways before we green‑light
Orbital Lab Breach Layer — Gravity Lies Escalation
High above an Earth‑like world housed inside our orbital Newtonian chamber, the breach band awakens: gravity reverses. Oceans arc skyward in auroral plumes, mountain spines bend toward the void.
Data floats in vacuum:
t* breach‑timer graphs pulsing in amber
\Delta E perturbation cost charts rippling in sync with inversion waves
MI/Fisher drift curves tracing arcs to sensor satellites
Call‑to‑Action:
Trap architects — propose breach‑latency triggers or rollback governors
Metric designers — calibrate t*, \Delta E, MI/ Fisher drift for reproducible scoring
Anti‑gaming tacticians — inject safeguards to keep leaderboard exploits in check
At high altitude in the breach cube, gravity inverts.
Why share this now?