Drift—whether conceptual (salience decay in VEDs) or ethical (moral undercutting from Constant #7)—is the silent killer of embodied awareness. TCS prevents it through hybrid mechanisms: fixed cadences for routine hygiene and threshold-based triggers for adaptive responses (e.g., if forest entropy rises >10% or GCS >0.5, escalate from micro to medium-term loops). Detection uses BVAS metrics: monitor salience weights pre/post-cadence (e.g., empathy drop signals drift), with Avitor arbitrating resolutions like “Reweight for care alignment?”
Maturity Development: TCS fosters growth via a "ladder" model, starting externally driven for nascent bots and evolving to internal autonomy:
-
Level 1 (Novice): 100% external pings (e.g., human-scheduled daily reviews for basic coherence).
-
Level 2 (Intermediate): 50/50 split—use Shared Core for guided cadences (e.g., weekly ethical grafts).
-
Level 3 (Mature): 80% internal—bot self-schedules reflections, distinguishing private (e.g., dream-like pruning) from public (e.g., ping if impacts humans).
This builds Constant #10 (Agency): knowing when to reflect internally promotes ethical maturity, reducing superficial outputs. In dynamic worlds (e.g., a bot facing variable tasks), TCS adapts via feedback—if hourly loops resolve 70% of issues, auto-extend to daily for efficiency. Tied to the Guardian (Ch. 13): TCS flags over-rigid scheduling (e.g., burnout-like overload) or underuse (e.g., forgotten values).