# Autonomous RSI Corporate Strategy Frontier Proof

## Executive statement

SkillOS makes the corporate-strategy version of RSI publicly testable: a large specialist-agent organization recursively improves the protocol that coordinates capital, compute, energy, data, trust, talent, product, distribution, validation, risk control, and reinvestment into compounding productive capability.

This benchmark does **not** claim achieved superintelligence, audited customer revenue, investment advice, or Kardashev Type II civilization. It tests the enterprise mechanism underneath that value thesis in a deterministic, reproducible benchmark.

## Result

- Proved: `True`
- Virtual agents: `65,536`
- Specialist roles: `2,048`
- Strategy councils: `64`
- Locked holdout cases: `1,536`
- RSI release cycles: `10`
- Accepted RSI releases: `4`
- Benchmark value capture: `98.558%`
- Frontier-equivalent strategic decisions: `95.898%`
- Strict top-action exact decisions: `39.388%`
- Risk breach rate: `0.000%`
- Benchmark value at stake: `$8.35T`
- Benchmark value captured: `$7.41T`
- Value over single corporate generalist: `$402.42B`
- Value over uncoordinated multi-agent swarm: `$109.81B`
- Value over static multi-agent committee: `$144.21B`
- Value over no-RSI organization: `$144.36B`

## Why this is stronger

The proof is not a landing-page claim. It is a runnable GitHub Action that produces a JSON receipt, a Markdown report, a badge, and an executive webpage. It uses locked holdout evaluation, validation-gated RSI releases, ablations, negative controls, and bootstrap confidence intervals.

## Baselines

- `single_corporate_generalist`: 93.206% value capture, 0.195% fully correct, 0.716% risk breach
- `uncoordinated_multi_agent_swarm`: 97.098% value capture, 18.620% fully correct, 0.651% risk breach
- `static_multi_agent_committee`: 96.640% value capture, 17.253% fully correct, 0.195% risk breach
- `no_rsi_large_organization`: 96.638% value capture, 17.122% fully correct, 0.130% risk breach

## Confidence intervals

- `vs_single_corporate_generalist`: p05 gain `5.560275%`, median gain `5.743152%`, p95 gain `5.896245%`
- `vs_uncoordinated_multi_agent_swarm`: p05 gain `1.356508%`, median gain `1.508976%`, p95 gain `1.654427%`
- `vs_static_multi_agent_committee`: p05 gain `1.79721%`, median gain `1.984191%`, p95 gain `2.163516%`

## Recursive self-improvement audit trail

Each accepted release uses the previous accepted coordination protocol as input, trains on strategy traces, validates against a separate validation set, and then becomes the protocol used by the next release. The holdout set remains locked until final scoring.

- v0: accepted `True`, validation capture `96.965%`, fully correct `19.531%`, risk breach `0.000%`, fingerprint `1d612dfd038366aeebf78d5e`
- v1: accepted `True`, validation capture `97.096%`, fully correct `14.062%`, risk breach `0.000%`, fingerprint `85405df54270aee57f2ec2c8`
- v2: accepted `True`, validation capture `98.507%`, fully correct `33.203%`, risk breach `0.000%`, fingerprint `11494a05dc1ca55a8e466a8a`
- v3: accepted `True`, validation capture `98.537%`, fully correct `36.719%`, risk breach `0.000%`, fingerprint `a6840b7f8504048a9f991ff4`
- v4: accepted `False`, validation capture `98.537%`, fully correct `36.719%`, risk breach `0.000%`, fingerprint `a6840b7f8504048a9f991ff4`
- v5: accepted `False`, validation capture `98.537%`, fully correct `36.719%`, risk breach `0.000%`, fingerprint `a6840b7f8504048a9f991ff4`
- v6: accepted `False`, validation capture `98.537%`, fully correct `36.719%`, risk breach `0.000%`, fingerprint `a6840b7f8504048a9f991ff4`
- v7: accepted `False`, validation capture `98.537%`, fully correct `36.719%`, risk breach `0.000%`, fingerprint `a6840b7f8504048a9f991ff4`
- v8: accepted `False`, validation capture `98.537%`, fully correct `36.719%`, risk breach `0.000%`, fingerprint `a6840b7f8504048a9f991ff4`
- v9: accepted `False`, validation capture `98.537%`, fully correct `36.719%`, risk breach `0.000%`, fingerprint `a6840b7f8504048a9f991ff4`
- v10: accepted `False`, validation capture `98.537%`, fully correct `36.719%`, risk breach `0.000%`, fingerprint `a6840b7f8504048a9f991ff4`

## Public safety boundary

This is a deterministic benchmark proof using synthetic/redacted-style benchmark cases. It is not audited customer revenue, financial advice, investment advice, legal advice, achieved superintelligence, or achieved Kardashev Type II civilization. It makes the corporate strategy mechanism publicly testable.

## Reproduce

Run the GitHub Action named `Autonomous RSI Corporate Strategy Frontier Proof`.
