Musica Operates (AetherOS): Difference between revisions
AdminIsidore (talk | contribs) Created page with "{{AetherOS_Component}} '''Musica Operates''' is the formal designation for the Producer ARC system, a meta-level governance and development framework responsible for the automated training, evaluation, and refinement of the Musician ARCs. It functions as the "conductor and coaching staff" for the AI orchestra. == Mandate == The mandate of the Operates system is to autonomously guide the evolution of the Musician ARCs. It must be capable of analyzin..." Â |
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Latest revision as of 17:21, 24 August 2025
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This page describes a core component of the AetherOS ecosystem. Its structure and content are designed to be parsed by automated agents. |
Musica Operates is the formal designation for the Producer ARC system, a meta-level governance and development framework responsible for the automated training, evaluation, and refinement of the Musician ARCs. It functions as the "conductor and coaching staff" for the AI orchestra.
Mandate
The mandate of the Operates system is to autonomously guide the evolution of the Musician ARCs. It must be capable of analyzing performance data, diagnosing systemic flaws, and programmatically generating and executing solutions—either targeted refinements (SAGA Loops) or foundational retraining (Training Loops).
To ensure robust and validated outputs, the Operates system functions as a symbiotic trio of specialized Producer ARCs:
- The Guide (Strategist): Analyzes performance critiques to determine the high-level goal (e.g., "Improve rhythmic accuracy").
- The Navigator (Tactician): Receives the Guide's goal and determines the optimal path, deciding between a SAGA or Training loop and planning the specific code or data to be generated.
- The Oracle (Validator): Receives the Navigator's generated artifact (a SAGA json or Python script), tests it in a sandbox environment, and provides a final pass/fail judgment before it can be deployed.
The Core Decision Engine: SAGA vs. Training Loop
The central logic of the Operates system is the Navigator's decision to prescribe one of two corrective actions:
- SAGA Learning Loop: A lightweight, targeted refinement for correcting isolated errors or performance drift in an otherwise competent model. This is the default action.
- Training Loop: A heavyweight, resource-intensive action for correcting fundamental flaws or teaching new concepts. This is triggered only when a "flaw threshold" is met, based on the accumulation of many SAGA logs identifying the same systemic issue.
Project Structure
The Operates system is organized into a dedicated project folder to manage its complex set of responsibilities.