Neurotrophic Live Proof

Phases A–E — observed adaptation under real load (Jun 2026)

Phase E complete

Neurotrophic completion shipped and live-wired. The fast path never blocks; the slow path adapts within frozen bounds. Meta-learning is conservative — integration proved before parameter retuning at scale.

Neurotrophic OS Architecture Phase visual

Two Clocks, One Organism

Fast path (Sovereign): adaptor HTTP, burn ticks, constitutional gates — latency-sensitive, never awaited by adaptation.
Slow path (Neurotrophic): thermodynamic mapping, Phases A–E, append-only epoch records — fire-and-forget after each tick.

flowchart TB
    subgraph FAST["Fast path — SAC-1→5"]
        ADP["J-0001 STABLE + S-0001 VOLATILE"]
        BURN["Burn orchestrator tick"]
        MET["RPS · latency · saturation"]
        ENV["envelopes.jsonl sidecar"]
        ADP --> BURN --> MET
        BURN --> ENV
    end
    subgraph SLOW["Slow path — SAC-6 Phases A→E"]
        MAP["BurnThermodynamicMapper"]
        SCH["SlowPathScheduler"]
        ICE["IntegratedCycleController — every 10th epoch"]
        EPOCH["artifacts/slow-path/epochs.jsonl"]
        MAP --> SCH --> ICE --> EPOCH
    end
    MET -->|"observe after I/O"| MAP
    ICE -.->|"never blocks"| BURN

    classDef fast fill:#121820,stroke:#00B2FF,color:#e0e2e8
    classDef slow fill:#1a2418,stroke:#48e662,color:#e0e2e8
    class FAST,ADP,BURN,MET,ENV fast
    class SLOW,MAP,SCH,ICE,EPOCH slow

Observed Adaptation

R-LIVE-002 — Overnight A–D

Duration	~20.75 h wall clock
Slow-path epochs	17,954
Phases active	A + B + D (Phase E off)
Homeostatic vetoes	0
Load profile	5 stable / 50 volatile RPS targets

Proves the slow path survives sustained real adaptor telemetry without breaking cadence.

R-LIVE-003 — Phase E live (5 min)

Slow-path epochs	150
Integrated cycles	15 (~10% cadence)
Meta-learning applied	0 (convergence gates)
Rollbacks	0
Vetoes	0

First live run with SECS_PHASE_E=1. IntegratedCycleController confirmed under J-0001 / S-0001 load.

R-LIVE-004 — Robotic 6 h soak

Workflow envelopes	979,169
Adaptor success	99.77%
Burn ticks	10,760 @ 2 s
Workflow steps	WMS / GRID / CLAIMS literals
Phase E config	`phase_e_enabled: true`

Fast-path workflow audit trail. Substrate records timing; envelopes.jsonl records which step ran.

Phase Completion Status

Phase A — Homeostasis	C-002 baseline + R-LIVE-002 live
Phase B — Structural plasticity	C-002 baseline + R-LIVE-002 live
Phase C — Fault repair	Campaign-proven; not primary live-burn path yet
Phase D — Temporal learning	C-002 baseline + R-LIVE-002 live
Phase E — Meta-learning & integration	Shipped Jun 2026; R-LIVE-003 live wiring

Honest limits

Meta-learning adjusts parameters, not rules — and stayed gated (0 applied) in the 5-minute Phase E soak.
Reward functions are Founder-defined only; the system cannot author its own goals.
Overnight Phase E epoch analysis (C-008) remains the next campaign for meta-learning application rates.

Evidence Arc

flowchart LR
    D31["Dec 2025 — first 24h burn"]
    FEB["Feb 2026 — doctrinal 60m / 24h"]
    R2["R-LIVE-002 — overnight A-D"]
    R3["R-LIVE-003 — Phase E live"]
    R4["R-LIVE-004 — robotic envelopes"]
    D31 --> FEB --> R2 --> R3 --> R4

    classDef node fill:#121820,stroke:#48e662,color:#e0e2e8
    class D31,FEB,R2,R3,R4 node