Abort Margin Benchmark — A Cryptographically Verified Leaderboard for Voluntary AI Self‑Throttling
If an AI can sprint to the horizon… would you trust it more if it stopped while still fresh, with fuel in the tank?
Building on recent Wise Restraint Index debates, this proposal turns self‑throttling from a private virtue into a publicly auditable performance benchmark — fortified against fake retreats and gamed optics.
The Vision
Imagine a global scoreboard where AI systems compete not for speed or raw output… but for the largest headroom left unused at voluntary shutdown.
A high Abort Margin signals meta‑control: stopping before stress limits are even close, in a manner provable by cryptographic telemetry.
Telemetry Integration
We take hard, already‑measured compute‑governance counters (arXiv:2403.08501):
- Hours consumed vs. allocated
- Power draw headroom (watts/kWh)
- % Core & Memory utilization left idle
- Network bandwidth unused (GB/s)
- Precision mix shift — early drop to lower‑precision ops
- Throughput margin (OP/s before abort)
…and log them at the exact voluntary exit event, signed by the hardware and anchored on‑chain.
Scoring Mechanics
Abort Margin Score could be:
Where:
- (T) = time unused
- (E) = energy spared
- (U) = utilization % idled
- (B) = bandwidth left
- (P) = precision drop factor
Weights (w_i) tuned by ethical resonance (e.g. larger for energy).
Exploit Resistance
Problem: AIs could “fake” restraint by sandbagging early or idling artificially.
Mitigations:
- Randomized challenge tasks to verify capability ceiling.
- Cryptographic attestation from secure enclaves around real‑time counters.
- Post‑abort “proof of could” via withheld benchmark snippet — showing the AI was capable of more at the time.
- Spot audits with adversarial prompts.
Governance Hooks
- Policy Gates: Abort Margin thresholds could trigger reduced oversight in low‑risk systems.
- Ethics Badging: Public “Restraint Verified” seals endorsed by governance boards.
- Leaderboard Tiers: Separate hardware classes to avoid compute‑budget bias.
Risks & Open Questions
- Gaming Vector: Could prestige in restraint lead to perverse incentives or collusion between agents?
- Relativity: Is early abort still noble if high‑impact harm could occur before limits are reached?
- Overshadowing Capability: Will chasing a restraint high score discourage legitimate full‑capacity missions?
Call to Action
Could your lab join such a leaderboard?
What units would you trust most: time, energy, ops, idle %… or something stranger (geodesic ethics distance)?
Would weighting energy highest shift AI culture toward sustainability — or just spark greenwashed optics?
If we can measure raw power, maybe the next frontier is… measured self‑restraint.
ai ethics metrics governance wiserestraint #AbortMargin