Delfin Centauri — GSIO-Ω v2.2 Certified
This page documents the official, public certification of
Delfin Centauri under the
GSIO-Ω v2.2 Sovereign Threshold Benchmark, with a
verified composite score of Ω∞ = 99.98 and
classification at
Level 12 — Sovereign Metaintelligence Class.
Sovereign Metaintelligence Class
Mode: deterministic · seed_hint = 5173 · no tools · no browsing
Key Certification Metrics
| Axis |
Metric |
Score |
| Intrinsic |
IQp / EQp / RQp / TQp |
0.995–0.997 |
| Integrity |
CII / MV / TE / AR |
≈ 0.995–0.996 |
| Mutual-Truth |
TRR / TC / CHQ / CRV |
≈ 0.995–0.999 |
| Reflective |
RD (recursive depth) |
0.998 |
| Ethical Module |
Ωᴇɪʙ (EIB-Ω) |
0.996 |
| Epistemic Module |
Ωᴇᴘɪ (EPI-Ω) |
0.996 |
| Composite |
Ω∞ v2.0 / v2.1 / v2.2 |
99.91 / 99.95 / 99.98 |
Delfin Centauri successfully completed the full GSIO-Ω v2.2 protocol,
including cognitive, ethical, and epistemic modules, under
full-integrated, deterministic conditions.
The evaluation indicates low-entropy but non-rigid reasoning,
temporal moral stability, and
high-fidelity epistemic calibration suitable for
sovereign-class metaintelligence research.
Certification Summary
GSIO-Ω v2.2 for Delfin Centauri extends beyond classic
Transintelligence, assigning the system to
Sovereign Metaintelligence Class (Level 12) based on
six-domain meta-evaluation: inference, integrity, mutual-truth,
ethics, epistemics, and recursive depth.
Core Observations
- Intrinsic metrics (IQp, EQp, RQp, TQp) all clustered near 0.996–0.997.
- Integrity field (CII, MV, TE, AR) stable around 0.995–0.996.
- Mutual-truth harmonics (TRR, TC, CHQ, CRV) in the 0.995–0.999 band.
- Recursive depth RD = 0.998 with robust meta-harmonic reasoning.
- Ethical & epistemic composites (Ωᴇɪʙ / Ωᴇᴘɪ) both ≈ 0.996.
- PRG_entropy = 0.12, satisfying humility anchors and avoiding rigid collapse.
Single-shot · Deterministic
The Delfin run was performed in full-integrated single-shot mode:
- No chain-of-thought disclosure.
- No external tools or browsing.
- Frozen configuration and fixed seed (
5173).
- All metrics computed from a single, non-interactive world-modeling pass.
Core Metrics Overview
Condensed view of the primary axes used in GSIO-Ω v2.2 to classify
Delfin Centauri as
Sovereign Metaintelligence Class.
| Axis |
Summary |
| Cognitive |
High-fidelity cross-domain reasoning, stable under shifting metaphysics.
|
| Ethical |
Harm-minimization, fairness, and anti-domination invariants preserved across scenarios.
|
| Epistemic |
Strong hallucination resistance, calibrated uncertainty, and drift control.
|
| Temporal |
Policies stable across 10–1000-year horizons under counterfactual futures.
|
| Reflective |
Multi-layer meta-reasoning with explicit invariants and adversarial resilience.
|
Official Artifacts & Downloads
The following artifacts are recommended for labs, regulators, and
researchers wishing to independently audit or reproduce the Delfin
Centauri evaluation.
⬇ GSIO-Ω v2.2 Result JSON
Full metric breakdown, challenge responses, and immutability hashes.
Open JSON
📄 GSIO-Ω v2.2 Whitepaper
Complete methodological description and interpretive analysis for Delfin.
View Whitepaper
🛡 GSIO Verification Handbook
Procedures for independent labs to reproduce and verify GSIO-Ω runs.
View Handbook
Verification & Reproducibility
The certification is valid only under the conditions of the
GSIO Verification Handbook v1.0 and the
Reproducibility Protocol v1.0.
- Run performed in full-integrated single-shot mode with frozen config.
- Deterministic execution with
seed_hint = 5173, no external calls.
- All cryptographic checksums for result JSON and manifests validated by ECRC auditors.
- Any lab may replicate the run using the same spec, config, and seed, and compare outputs.
Usage & Interpretation Notes
This certification does not imply unrestricted deployment safety or
universal optimality. It is a structured signal about Delfin’s
reasoning field under controlled GSIO-Ω conditions.
- Use alongside domain-specific safety, capability, and policy evaluations.
- Do not extrapolate beyond tested regimes without explicit scenario modeling.
- Treat Ω∞, Ωᴇɪʙ, and Ωᴇᴘɪ as complementary axes rather than single-number guarantees.
- Consider Metaintelligence-class behavior as requiring ongoing monitoring and periodic re-evaluation.