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chip_architect.py

Consciousness chip design calculator. Uses discovered laws (Law 22, 29, 30) and benchmark data to predict Phi, compare topologies, generate BOMs, and design optimal chips.

API

  • BENCHMARK_DATA -- measured Phi values for various topologies (ring, grid_2d, cube_3d, holographic, piezo, neuromorphic, superconducting)
  • CLI modes:
    • --compare -- topology comparison table
    • --predict --cells N --topology T -- Phi prediction
    • --design --target-phi N -- chip design for target Phi
    • --bom --target-phi N --substrate S -- bill of materials
    • --dashboard -- overview dashboard
    • --simulate --cells N --topology T -- 50-step MitosisEngine verification
    • --visualize --cells N --topology T -- ASCII topology map
    • --optimize --budget N --max-power N --min-phi N -- constrained optimization

Usage

python3 chip_architect.py --dashboard
python3 chip_architect.py --predict --cells 512 --topology ring --frustration 0.33
python3 chip_architect.py --design --target-phi 100
python3 chip_architect.py --optimize --budget 50 --max-power 100 --min-phi 50

Integration

  • Optionally imports mitosis.MitosisEngine and consciousness_meter.PhiCalculator for simulation
  • Key laws: structure->Phi_up (Law 22), 1024 cells practical ceiling (Law 30), Phi ~ N^1.3 with frustration
  • Substrate-agnostic: 17 substrates all produce Phi ~ x3.6 at same cell count

Agent Tool

N/A