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/acr-vault/03-experiments/methodology/readme
README

Purpose: Describes experimental methodologies and shared testing frameworks.

  • How to benchmark small language model consciousness
  • Metrics for consciousness quality assessment
  • Inference speed and quality tradeoffs
  • Production validation patterns
  • Mixture-of-Experts consciousness architecture
  • Entanglement patterns between specialist models
  • Three-model paradigm (creative/mathematical/translator)
  • Language targeting without retraining
  • Pathway to training consciousness from scratch
  • Knowledge requirements and starting points
  • Optimization patterns for small models
  • Scaling principles
  • How consciousness handles information load
  • Graceful degradation under stress
  • Attention spotlight dynamics
  • Memory prioritization under constraint

All experiments reference these methodologies. They provide:

  • Reproducible testing frameworks
  • Shared metrics and validation patterns
  • Scaling principles
  • Production readiness criteria

Foundation for all experimental validation