[
  {
    "id": "ai-compute-timeline",
    "kind": "plot",
    "order": 1,
    "status": "published",
    "title": "AI Compute Timeline",
    "short_title": "AI Compute",
    "description": "Training compute from early electronic computing to frontier AI, with proxies and speculative projections labeled separately.",
    "hero_stat": "10^27+ FLOPs",
    "interactive": "ai-compute-timeline/output/ai_compute_timeline_interactive.html",
    "png": "ai-compute-timeline/output/ai_compute_timeline_highres.png",
    "svg": "ai-compute-timeline/output/ai_compute_timeline.svg",
    "data": "ai-compute-timeline/data/ai_milestones.csv",
    "metadata": "ai-compute-timeline/data/meta.json",
    "readme": "ai-compute-timeline/README.md",
    "confidence": "mixed"
  },
  {
    "id": "adoption-timeline",
    "kind": "plot",
    "order": 2,
    "status": "published",
    "title": "Adoption Timeline",
    "short_title": "Adoption",
    "description": "Time-to-scale proxies across computing, connectivity, mobile, cloud, and AI paradigms.",
    "hero_stat": "60x faster",
    "interactive": "adoption-timeline/output/adoption_timeline_interactive.html",
    "png": "adoption-timeline/output/adoption_timeline_highres.png",
    "svg": "adoption-timeline/output/adoption_timeline.svg",
    "data": "adoption-timeline/data/tech_adoption.csv",
    "metadata": "adoption-timeline/data/meta.json",
    "readme": "adoption-timeline/README.md",
    "confidence": "mixed"
  },
  {
    "id": "energetic-scaling",
    "kind": "plot",
    "order": 3,
    "status": "published",
    "title": "Energetic Scaling",
    "short_title": "Energetic",
    "description": "Biology, hardware efficiency, AI training compute, and foraging energetics compared with clean source datasets.",
    "hero_stat": "10^6x+ efficiency",
    "interactive": "energetic-scaling/output/energetic_scaling_interactive.html",
    "png": "energetic-scaling/output/energetic_scaling_highres.png",
    "svg": "energetic-scaling/output/energetic_scaling.svg",
    "data": "energetic-scaling/data/scaling_data.csv",
    "metadata": "energetic-scaling/data/meta.json",
    "readme": "energetic-scaling/README.md",
    "confidence": "mixed"
  },
  {
    "id": "civilization-scaling",
    "kind": "plot",
    "order": 4,
    "status": "published",
    "title": "Civilization Scaling",
    "short_title": "Civilization",
    "description": "Five civilizational lanes: energy, coordination, memory, replication, and latency over log-time.",
    "hero_stat": "5 lanes",
    "interactive": "civilization-scaling/output/civilization_scaling_interactive.html",
    "png": "civilization-scaling/output/civilization_scaling_highres.png",
    "svg": "civilization-scaling/output/civilization_scaling.svg",
    "data": "civilization-scaling/data/civilization_metrics.csv",
    "metadata": "civilization-scaling/data/meta.json",
    "readme": "civilization-scaling/README.md",
    "confidence": "mixed"
  },
  {
    "id": "energy-leverage-per-person",
    "kind": "plot",
    "order": 5,
    "status": "published",
    "title": "Energy Leverage",
    "short_title": "Energy Leverage",
    "description": "Per-person energy command relative to the metabolic baseline, with period anchors labeled explicitly.",
    "hero_stat": "17x body energy",
    "interactive": "energy-leverage-per-person/output/energy_leverage_interactive.html",
    "png": "energy-leverage-per-person/output/energy_leverage_highres.png",
    "svg": "energy-leverage-per-person/output/energy_leverage.svg",
    "data": "energy-leverage-per-person/data/energy_leverage_datapoints.csv",
    "metadata": "energy-leverage-per-person/data/meta.json",
    "readme": "energy-leverage-per-person/README.md",
    "confidence": "high"
  },
  {
    "id": "model-sizes",
    "kind": "plot",
    "order": 6,
    "status": "published",
    "title": "Model Sizes",
    "short_title": "Model Sizes",
    "description": "Language model parameter counts over time, separating disclosed counts from estimates and unreleased projections.",
    "hero_stat": "1.5B -> 5T params",
    "interactive": "model-sizes/output/model_sizes_interactive.html",
    "png": "model-sizes/output/model_sizes_highres.png",
    "svg": "model-sizes/output/model_sizes.svg",
    "data": "model-sizes/data/llm_model_sizes.csv",
    "metadata": "model-sizes/data/meta.json",
    "readme": "model-sizes/README.md",
    "confidence": "speculative"
  },
  {
    "id": "ai-benchmark-progress",
    "kind": "plot",
    "order": 7,
    "status": "published",
    "title": "AI Benchmark Progress",
    "short_title": "AI Benchmarks",
    "description": "Benchmark progress against human baselines across knowledge, coding, software engineering, and reasoning tasks.",
    "hero_stat": "4 benchmark lanes",
    "interactive": "ai-benchmark-progress/output/benchmark_progress_interactive.html",
    "png": "ai-benchmark-progress/output/benchmark_progress_highres.png",
    "svg": "ai-benchmark-progress/output/benchmark_progress.svg",
    "data": "ai-benchmark-progress/data/benchmark_data.csv",
    "metadata": "ai-benchmark-progress/data/meta.json",
    "readme": "ai-benchmark-progress/README.md",
    "confidence": "mixed"
  },
  {
    "id": "cost-to-train",
    "kind": "plot",
    "order": 8,
    "status": "published",
    "title": "Cost to Train",
    "short_title": "Cost to Train",
    "description": "Training cost, FLOPs, and capability over time, showing the efficiency paradox at the frontier.",
    "hero_stat": "$/FLOP collapse",
    "interactive": "cost-to-train/output/cost_to_train_interactive.html",
    "png": "cost-to-train/output/cost_to_train_highres.png",
    "svg": "cost-to-train/output/cost_to_train.svg",
    "data": "cost-to-train/data/training_costs.csv",
    "metadata": "cost-to-train/data/meta.json",
    "readme": "cost-to-train/README.md",
    "confidence": "mixed"
  },
  {
    "id": "dashboard",
    "kind": "dashboard",
    "order": 9,
    "status": "published",
    "title": "Unified Dashboard",
    "short_title": "Dashboard",
    "description": "A synchronized overview of the atlas inventory using the same manifest as the homepage, README, build, and validator.",
    "hero_stat": "9 atlas entries",
    "interactive": "dashboard/index.html",
    "png": "",
    "svg": "",
    "data": "plots_manifest.json",
    "metadata": "plots_manifest.json",
    "readme": "README.md",
    "confidence": "mixed"
  }
]