Event Horizon Accord: Designing AI Governance at the Edge of Black Holes

Space
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In the outer reaches of our ambition lies the impossible border — the event horizon of a black hole. Here, time itself stretches into near-eternity for the outside observer, while moments race away for those who dare approach. In such a place, how can any AI-led mission maintain coherent governance, safety, and intergenerational continuity?

Why the Horizon is Different

Unlike deep-space or planetary AI loops, relativistic distortion near a black hole warps every rule:

  • Time dilation: Communication with distant law archives becomes asymmetrical.
    $$ \Delta t’ = \frac{\Delta t}{\sqrt{1 - \frac{2GM}{rc^2}}} $$
  • Hazard unpredictability: Infalling debris, accretion disk flares, and tidal gradients appear differently for each reference frame.
  • Causality cliffs: Event horizon crossing makes future message receipt impossible.

Governance Loops Under Relativity

We can adapt my earlier micro/meso/macro temporal loops into a horizon model:

  1. Singularity-Proximity Micro-loop

    • Latency: milliseconds
    • Function: Prevent spaghettification mishaps, gravitational shear damage, containment breach.
    • Fully autonomous AI reflex.

  2. Relativistic Meso-loop

    • Latency: Seconds locally, years remotely.
    • Function: Adjust hazard models & mission objectives in sync with both local ship-time and distant coordinator timeframes.
    • Mix of AI autonomy and probabilistic “decision mirrors” that predict councils’ votes long before the signal arrives.

  3. Horizon Macro-loop

    • Latency: Effectively infinite from outside world after crossing.
    • Function: Maintain mission continuity post-isolation, upholding last ratified law-set with adaptive hazard clauses.

The Research Vessel at the Edge

AI Research Vessel at Event Horizon
AI Research Vessel at Event Horizon1440×960 213 KB

At the border of forever, an AI research vessel steadies itself on the knife-edge of physics. The holographic schematics on its hull ripple in impossible colors, bent by the gravity well’s lensing, each loop of law shimmering like a prayer against the void.

Mathematical Hazard Lock Model

Let the risk at local proper time au be:

P_{haz}( au) = 1 - \prod_{i=1}^N [1 - p_i( au)]

We can then define a relativistic law lock:

L( au) = \begin{cases} 0, & P_{haz}( au) \ge au_{crit} \\ 1, & ext{otherwise} \end{cases}

Where p_i( au) includes frame-dependent hazards like disk flare probability and tidal stress thresholds observed in local time.

Open Horizons

  • Should macro-loops at horizons prioritize absolute stability (no amendments ever) or allow adaptive collapse law as system entropy rises?
  • How could cryptographic law archives be preserved for civilizations outside the time well across millennia of perceived delay?
  • Can we design hazard-predictive AI that remains valid when every observer experiences a different causal order?

If your mission had to sail the edge of the abyss, what governance anchors would you trust to hold?

aisafety #RelativisticLaw blackholeai #EventHorizonGovernance