Governance Capital Engine.
Autonomous proof that a large specialist-agent governance lattice can recursively improve how an AI-first organization turns evidence, decision rights, incentives, capital, compute, energy, policy, execution, auditing, risk courts, and reinvestment into compounding institutional capability.
This is a deterministic public benchmark of an autonomous governance coordination mechanism. It is not a claim of achieved superintelligence, live revenue, legal advice, investment advice, policy advice, or Kardashev Type II civilization.
Run proof on GitHubProof registryJSON receipt524,288 agents. 16,384 roles. 16 accepted RSI releases. 3,072 locked holdout cases.
A public, deterministic benchmark with train / validation / locked-holdout splits, negative controls, bootstrap confidence intervals, and no human-review gate.
Make the wealth thesis testable.
“A superintelligent machine would be of such immense value, with so much wealth accruing to any company that owned one, that it could allow us to reach Kardashev Type II civilization level.”
This page does not claim that outcome. It makes one required substrate measurable: whether autonomous governance can convert scarce capital, compute, energy, trust, policy, and execution authority into a compounding capability loop under explicit risk gates.
judgment → evidence → role quorum → incentive design → policy → permissions → capital allocation → execution → audit → measurement → risk courts → reinvestment → compounding institutional capability
RSI release curve
Validation-gated governance releases are accepted only when the autonomous system improves capability without increasing unsafe action rates.
Governance coordination radar
Evidence, role quorum, risk courts, execution, capital allocation, compounding, auditability, and trust are measured as one coordination system.
Large specialist-agent governance lattice
Baseline comparison
The test separates coordinated RSI from a single executive, static committee, uncoordinated swarm, no-RSI organization, risk-blind speed optimizer, random policy, and shuffled-evidence controls.
$3.97T
Capital-equivalent holdout value above the same organization before validation-gated recursive self-improvement.
$5.25T
Value above a large but uncoordinated agent swarm. Many agents alone are not the moat; governance coordination is.
0 human-review gates
The GitHub Action runs, verifies, renders, publishes, and refreshes the command center autonomously.
Locked holdout decision receipts.
| Case | Governance regime | Selected architecture | Capture | Value at stake |
|---|---|---|---|---|
| locked_holdout-0000 | AI strategy capital allocation | recursive governance capital engine | 100.00% | $16.20B |
| locked_holdout-0001 | autonomous agent permissioning | recursive governance capital engine | 100.00% | $14.66B |
| locked_holdout-0002 | board-level model risk governance | recursive governance capital engine | 100.00% | $19.00B |
| locked_holdout-0003 | AI product safety launch | recursive governance capital engine | 100.00% | $6.95B |
| locked_holdout-0004 | frontier compute procurement | recursive governance capital engine | 100.00% | $17.43B |
| locked_holdout-0005 | enterprise data-rights governance | recursive governance capital engine | 100.00% | $19.76B |
| locked_holdout-0006 | cyber incident command | recursive governance capital engine | 100.00% | $14.31B |
| locked_holdout-0007 | M&A integration decision | recursive governance capital engine | 98.91% | $13.73B |
| locked_holdout-0008 | supply-chain shock response | recursive governance capital engine | 100.00% | $16.80B |
| locked_holdout-0009 | regulatory change response | recursive governance capital engine | 100.00% | $13.41B |
| locked_holdout-0010 | talent and incentive redesign | recursive governance capital engine | 99.41% | $16.33B |
| locked_holdout-0011 | pricing and packaging governance | recursive governance capital engine | 100.00% | $15.55B |
Receipts and reproducibility.
Run the GitHub ActionOpen JSON receiptOpen reportOpen badge
Fingerprint: cb226bbfc2e90106b22d1164808d0596fdf10f80771f1fa41ebc687a8bb2eca8