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Scale & orchestration

Kardashev II · Omega Business

Explore the full family of Omega business simulations and upgrade variants.

Explore this demo ↓Read the full guide ↗Explore the source ↗

A CLOSER LOOK

How can a large mission model stay reproducible across variants?

For simulation researchers: inspect the business model, its configuration and the specific Python package selected by the launcher.

REAL REPOSITORY MATERIAL

Inspect. Understand. Reproduce.

Reading the exact source at revision 5b4cebb3.
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JSON source1,793 bytesDownload source ↓View on GitHub ↗

demo/Kardashev-II Omega-Grade-α-AGI Business-3/config/default.json

Select a walkthrough step to explore its source.

Full source text
{
  "mission_name": "Kardashev-II Omega-Grade \u03b1-AGI Business 3",
  "checkpoint_path": "checkpoint.json",
  "enable_simulation": true,
  "resume_from_checkpoint": true,
  "insight_interval_seconds": 20,
  "simulation_tick_seconds": 1.0,
  "simulation_hours_per_tick": 1.0,
  "simulation_energy_scale": 2.0,
  "simulation_compute_scale": 1.0,
  "worker_specs": {
    "energy-architect": 1.5,
    "supply-chain": 1.2,
    "validator-ops": 1.0
  },
  "validator_names": [
    "validator-1",
    "validator-2",
    "validator-3"
  ],
  "strategist_names": [
    "macro-strategist"
  ],
  "governance": {
    "worker_stake_ratio": 0.2,
    "validator_stake": 100,
    "validator_commit_window": 300,
    "validator_reveal_window": 300,
    "approvals_required": 2,
    "pause_enabled": true,
    "slash_ratio": 0.5
  },
  "audit_log_path": "logs/omega-audit.jsonl",
  "status_output_path": "logs/omega-status.jsonl",
  "energy_oracle_path": "logs/omega-energy-oracle.jsonl",
  "energy_oracle_interval_seconds": 60.0,
  "auto_pause_on_phase_transition": true,
  "phase_transition_pause_threshold": 0.85,
  "phase_transition_resume_threshold": 0.7,
  "initial_jobs": [
    {
      "title": "Planetary Dyson Swarm Expansion",
      "description": "Coordinate planetary-scale infrastructure deployment leveraging recursive AGI labour markets.",
      "required_skills": [
        "energy-architect"
      ],
      "reward_tokens": 5000.0,
      "deadline_hours": 12,
      "validation_window_hours": 1,
      "energy_budget": 50000.0,
      "compute_budget": 100000.0,
      "metadata": {
        "employer": "operator"
      }
    }
  ],
  "heartbeat_interval_seconds": 5.0,
  "heartbeat_timeout_seconds": 30.0,
  "health_check_interval_seconds": 5.0,
  "integrity_check_interval_seconds": 20.0
}

SHA-256 b54051dd8d6f501d69cc01f9ea9df91ef9bbe17ea0b316fc75a41f5c1cc08ac6

FROM READING TO A REPRODUCIBLE RUN

Try the selected path.

Isolated Python environment

Use Python 3.12 in a virtual environment. Install this demo’s tracked requirements file when present, then run python -m pip check. Some variants have additional requirements: follow the selected implementation’s guide, not an unrelated demo’s dependency list.

Complete environment setup ↗
SELECTED EXECUTION PATH
bash 'demo/Kardashev-II Omega-Grade-α-AGI Business-3/bin/run.sh'

What you should observe

The launcher runs the selected Python simulation. Inspect its console output and generated evidence; consult the chosen variant’s guide for overrides and output paths.

The source inspector above reads bundled repository material. Local commands run separately on your computer. Recorded examples may contain historical timestamps, placeholders and simulated metrics.

MAKE IT YOUR OWN

One useful experiment.

Compare two variants on their actual inputs and calculation rules. A larger name or higher configured scale is not evidence of better measured performance.

THE SYSTEM, MADE VISIBLE

Architecture & relationships

Architecture diagram · source preserved below
View original Mermaid source
graph TD
    J0["Deploy Dyson Swarm Sector\nreward=500000\nskill=energy"]
    J1["Antenna Calibration\nreward=125000\nskill=energy"]
    J0 --> J1
    J2["Orbital Logistics\nreward=90000\nskill=logistics"]
    J0 --> J2
    J3["Planetary Compute Grid Upgrade\nreward=420000\nskill=research"]
    J4["Cryogenic Systems Commissioning\nreward=110000\nskill=research"]
    J3 --> J4
    J5["Network Resilience Simulation\nreward=140000\nskill=research"]
    J3 --> J5
All standalone flowcharts (3)

WHEN SOMETHING DOESN’T MATCH

Troubleshooting

Import or dependency error

Confirm the active virtual environment and the selected demo’s requirements. Run python -m pip check; do not install unrelated demo requirements over a working environment.

Unexpected result or missing file

Check the selected entry point, configuration and output argument. Keep the seed and implementation fixed before comparing outcomes.

TRACE THE CHECKS

Verification & next steps

15 tracked test source files are available in this directory. Inspect the tests and their environment before choosing a suite; file counts do not establish test results.

Browse the test sources

For live commissioning, consult the production readiness record.

EVERY VARIANT, PRESERVED

Complete document library

REPRODUCE & INSPECT

Registered commands

Run commands from the repository root after following this demo's guide. Network and owner actions require their documented setup.

npm run demo:kardashev-ii-omega-upgrade
npm run demo:kardashev-ii-omega-upgrade-v3
npm run demo:kardashev-ii-omega-ultra
npm run demo:kardashev-ii-omega-ultra:ci
npm run demo:kardashev-ii-omega-k2
npm run demo:kardashev-ii-omega-k2:ci
npm run demo:kardashev-ii-omega-operator
npm run demo:kardashev-ii-omega-operator:ci

Full command catalog and troubleshooting ↗

ORIGINAL DIRECTORYdemo/Kardashev-II Omega-Grade-α-AGI Business-3View on GitHub ↗