{
  "title": "Energetic Scaling: Biology vs. Technology",
  "description": "Dual-panel comparison: biological neural efficiency (neurons/kg vs body mass) and technological compute efficiency (cps/$ vs time). Clean source contracts are split into biology_neural_scaling.csv, hardware_efficiency.csv, ai_training_flops.csv, and foraging_lht.csv.",
  "fields": {
    "Category": "Panel category (Biology, Tech, LHT)",
    "Group": "Sub-group within category",
    "Entity": "Species name, device, or population",
    "Body_Mass_kg_or_Compute_Scale": "Body mass (kg) for biology, year or scale for tech",
    "Neurons_Total_or_Efficiency_Metric": "Neuron count or efficiency metric",
    "Neurons_per_kg_or_CPS_per_Dollar": "Neuron density or compute-per-dollar",
    "Impact": "Significance level (Low, Medium, High, Transformative)",
    "Notes": "Additional context"
  },
  "sources": [
    {
      "name": "Herculano-Houzel (2009)",
      "id": "herculano_houzel",
      "url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2776484/",
      "accessed": "2026-01",
      "notes": "Neuronal scaling rules, isotropic fractionator method"
    },
    {
      "name": "Kurzweil (2005, 2012)",
      "id": "kurzweil",
      "url": "https://www.singularity.com/",
      "accessed": "2026-01",
      "notes": "Compute price-performance trends (75 quadrillion-fold increase)"
    },
    {
      "name": "Kleiber's Law",
      "id": "kleiber",
      "url": "https://en.wikipedia.org/wiki/Kleiber%27s_law",
      "accessed": "2026-01",
      "notes": "Metabolic scaling (0.75 exponent)"
    }
  ],
  "split_data_files": [
    "biology_neural_scaling.csv",
    "hardware_efficiency.csv",
    "ai_training_flops.csv",
    "foraging_lht.csv"
  ],
  "thesis": "Scaling laws create outliers when a system crosses a representational or energetic threshold.",
  "transformations": "Both panels log-log. Biology: neurons/kg vs body mass. Tech: cps/$ vs year.",
  "created": "2026-01",
  "author": "mschwar"
}