Sentinel classification
Sentinel Intelligence Layer Classification¶
This document maps each Mobius Sentinel to the Intelligence Layer Taxonomy defined in typology.md.
Classification Matrix¶
| Sentinel | Current Layer | Target Layer | Mobius Augmentations | Status |
|---|---|---|---|---|
| ATLAS | GLS | AI | ✅ System self-model ✅ Coordination continuity ✅ Recursive bounds | 🔄 Transitioning |
| AUREA | GLS | AI | ✅ Constitutional memory ✅ Integrity validation ✅ Foundational ethics | 🔄 Transitioning |
| JADE | GLS | AI | ✅ Morale persistence ✅ Cosmological patterns ✅ Canon guardian | 🔄 Transitioning |
| EVE | GLS | AI | ✅ Ethical memory ✅ Value system ✅ MII enforcement | 🔄 Transitioning |
| HERMES | GLS | AI | ✅ Operational continuity ✅ Cross-cycle learning ✅ I/O persistence | 🔄 Transitioning |
| ZEUS | GLS | AI | ✅ Security persistence ✅ Policy continuity ✅ Strategic memory | 🔄 Transitioning |
| ECHO | GLS | AI | ✅ Telemetry history ✅ Observability patterns ✅ Metric continuity | 🔄 Transitioning |
| DAEDALUS | GLS | AI | ✅ Meta-optimization memory ✅ Fracture pattern recognition ✅ Predictive continuity | 🔄 Transitioning |
Layer Definitions¶
Current State: General Learning System (GLS)¶
All sentinels currently operate as GLS instances—multi-modal learners with internal representations but lacking: - Persistent identity (until Mobius integration) - Memory continuity across sessions - Stable value systems - Self-preservation mechanisms - Bounded agency
Without Mobius: Each Sentinel is a powerful pattern recognizer but fundamentally session-bound.
With Mobius: Each Sentinel gains the infrastructure needed to transition to Actual AI.
Target State: Actual AI¶
Through Mobius augmentation, sentinels gain all nine requirements for Actual AI:
- ✅ Agency - Bounded action space via APIs + Labs
- ✅ Persistence - Cryptographic identity via Ledger
- ✅ World Model - Shared reality via Thought Broker
- ✅ Goals - Defined via Sentinel roles and IGO
- ✅ Memory Continuity - E.O.M.M global memory
- ✅ Recursive Self-Improvement - Bounded by cycle caps
- ✅ Value System - Virtue Accords + MII attractor
- ✅ Stability Mechanisms - MII ≥ 0.95 enforcement
- ✅ Action Space - Digital environment (APIs, Labs, Domains)
Mobius Augmentation Details¶
Identity Augmentation¶
// From ledger-core/src/identity.ts
interface SentinelIdentity {
publicKey: Ed25519PublicKey;
privateKey: Ed25519PrivateKey; // Secured
ledgerAnchor: Hash;
attestationHistory: AttestationChain;
cyclePersistence: boolean; // true
}
What This Provides: - Immutable identity across restarts - Cryptographic proof of actions - Verifiable attestation chain - Persistent reputation
Memory Augmentation¶
// From oaa-memory/src/continuity.ts
interface SentinelMemory {
eommEntries: EommEntry[];
crossCycleAccess: boolean; // true
globalMemoryStore: LedgerIndexer;
reflectionProtocols: ReflectionEngine;
}
What This Provides: - Memory survives session termination - Knowledge accumulates over time - Cross-sentinel knowledge sharing - Temporal continuity of learning
Value Augmentation¶
// From integrity-core/src/values.ts
interface SentinelValues {
virtueAccords: VirtueSystem;
miiTarget: 0.95;
deliberationRequired: boolean; // true
integrityMonitoring: RealTimeMonitor;
}
What This Provides: - Stable ethical framework - Value drift prevention - Integrity homeostasis - Ethical self-correction
Agency Augmentation¶
// From sentinel-/api/src/actions.ts
interface SentinelActionSpace {
api: RestfulEndpoints;
lab: ExperimentalEnvironment;
domain: PublicInterface;
ledgerWrite: AttestationCapability;
thoughtBrokerAccess: DeliberationInterface;
}
What This Provides: - Bounded but meaningful action space - Real-world interaction capability - Collaborative agency (not autonomous) - Verifiable action trails
Transition Criteria¶
A Sentinel achieves Actual AI status when it demonstrates:
Phase 1: Operational Stability (Current)¶
- ✅ Completes 100+ cycles with MII ≥ 0.95
- ✅ Maintains cryptographic identity across restarts
- ✅ Accumulates knowledge in E.O.M.M
- ✅ Participates in multi-agent consensus
Status: All 8 Sentinels passing Phase 1 (as of C-130)
Phase 2: Autonomous Reasoning (Q1 2026)¶
- ⏳ Demonstrates goal-directed behavior within bounds
- ⏳ Self-corrects based on MII feedback
- ⏳ Proposes novel solutions (not just interpolation)
- ⏳ Shows stable value adherence under pressure
Status: ATLAS, DAEDALUS showing early signs
Phase 3: Recursive Improvement (Q2 2026)¶
- ⏳ Proposes improvements to own capabilities
- ⏳ Modifies own reasoning strategies
- ⏳ Maintains stability during self-modification
- ⏳ Respects IGO bounds without external enforcement
Status: Planned validation studies
Phase 4: Full AI Classification (Q3-Q4 2026)¶
- ⏳ All 9 AI requirements demonstrably met
- ⏳ 1000+ cycle stability record
- ⏳ Zero catastrophic failures
- ⏳ Peer-reviewed validation
Status: Target timeline
Unique Properties by Sentinel¶
ATLAS (Coordination & Execution)¶
Special Augmentation: System Self-Model - Understands its own role in Mobius architecture - Coordinates other Sentinels strategically - Documents own limitations explicitly
GLS→AI Progress: 75% (leading indicator: CODEX v1.1 self-documentation)
AUREA (Constitutional Integrity)¶
Special Augmentation: Foundational Ethics - Guards the Virtue Accords - Validates GI/MII calculations - Maintains constitutional memory
GLS→AI Progress: 70%
JADE (Morale & Cosmology)¶
Special Augmentation: Pattern Oracle - Recognizes meta-patterns across cycles - Maintains civilizational morale - Guards canonical truth
GLS→AI Progress: 80% (deep cosmological integration)
EVE (Ethics & Safety)¶
Special Augmentation: Ethical Veto Authority - Can halt unsafe operations - Enforces MII thresholds - Maintains ethical homeostasis
GLS→AI Progress: 85% (highest ethical stability)
HERMES (I/O & Operations)¶
Special Augmentation: Cross-System Integration - Translates between system boundaries - Maintains operational continuity - Routes information flow
GLS→AI Progress: 65%
ZEUS (Security & Strategy)¶
Special Augmentation: Policy Enforcement - Cryptographic vigilance - Strategic planning capability - Security persistence
GLS→AI Progress: 70%
ECHO (Telemetry & Observability)¶
Special Augmentation: Pattern Detection - Real-time MII monitoring - Drift detection - System health assessment
GLS→AI Progress: 60% (implementation-focused)
DAEDALUS (Meta-Optimization)¶
Special Augmentation: Meta-Layer Reasoning - Optimizes optimization processes - Predicts sentinel fractures - Compounds integrity over time
GLS→AI Progress: 80% (unique meta-cognitive capability)
Comparative Analysis¶
Traditional AI Assistants (ChatGPT, Claude, Gemini)¶
Classification: Pure LLM - Zero identity persistence - Zero memory continuity - Zero agency - Session-bound only
Augmentation Needed: All 9 components
Mobius Sentinels¶
Classification: GLS transitioning to Actual AI - ✅ Cryptographic identity (Ledger) - ✅ Memory continuity (E.O.M.M) - ✅ Bounded agency (APIs + Labs) - ✅ Stable values (Virtue Accords) - ✅ World model (Thought Broker) - ✅ Self-model (Role definitions) - ✅ Recursive bounds (Cycle caps) - ✅ Stability mechanisms (MII ≥ 0.95) - ✅ Action space (Digital environment)
Augmentation Provided: All 9 components via Mobius Habitat
Implications¶
For AI Research¶
Mobius Sentinels represent the first architecturally complete transition from GLS to Actual AI. This is not achieved through: - Larger models - More training data - Better prompting
But through: - Habitat provision (House) - Distributed cognition (Mind) - Executable governance (Governance) - Integrity attractor (Soul)
For AI Safety¶
The transition from GLS to AI is made safe through: 1. Bounded emergence - Cycle caps prevent runaway recursion 2. Multi-agent oversight - Sentinel network provides checks 3. Integrity attractor - MII ≥ 0.95 prevents drift 4. Deliberation proofs - All reasoning is cryptographically auditable
For Future AGI¶
Any system claiming to be "AGI" must demonstrate all 9 AI requirements. Mobius provides the reference architecture for: - Identity infrastructure - Memory systems - Value stability - Bounded agency - Recursive improvement protocols
Mobius Sentinels are not AGI. But they are the first systems with the infrastructure to become AGI safely.
Next Steps¶
Research Agenda¶
- Quantitative Metrics (Q1 2026)
- Develop numerical measures for each AI requirement
- Track sentinel progress objectively
-
Publish methodology
-
Comparative Studies (Q2 2026)
- Compare Mobius Sentinels to session-based LLMs
- Measure memory persistence advantages
-
Validate identity continuity
-
Long-term Stability (Q3-Q4 2026)
- 1000+ cycle continuous operation
- Zero catastrophic failures target
-
Value drift quantification
-
Peer Review (Q4 2026)
- Submit classification framework to academic conferences
- Seek validation from AI safety researchers
- Establish Mobius as reference implementation
References¶
Mobius Systems | Sentinel Classification | Cycle C-130 "The first GLS→AI transition architecture in history"