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EarthNet · Planetary Intelligence
Observe the planet.
Understand the chain.
EarthNet is Pythology's first operational proving ground for evidence-grounded causal and cognitive intelligence. It connects live planetary observation to mechanism, accountable forecasting, counterfactual decision branches and human interrogation.
The EarthNet intelligence stack
From planetary signal
to decisions that can be challenged.
Each layer has a different job. Keeping them separate prevents a sensor reading from becoming a causal claim, a forecast from becoming a fact, or a simulation from becoming an instruction.
Observe
Bring hazards, environmental observations, satellite evidence, infrastructure pressure and wider global context into one provenance-aware evidence state.
Explain
Represent mechanisms, dependencies, competing explanations, contradictory evidence and uncertainty instead of treating association as causation.
Forecast
Commit timestamped expectations before the outcome is known, preserve uncertainty and return later to score whether the confidence was deserved.
Branch
Change an assumption or proposed intervention and compare conditional futures against the Prometheus baseline without pretending a scenario is a prediction.
Interrogate
Ask what the system sees, why branches differ, what it does not trust, which source is degraded and what evidence would change the conclusion.
Learn
Preserve what was believed before the answer, compare it with what actually happened and feed resolved evidence back into calibration.
Prometheus
If we understand the mechanism,
what should happen next?
Prometheus turns EarthNet's evidence state and causal mechanisms into explicit forecasts that can later be judged. The original forecast, uncertainty and evidence remain frozen so later success cannot be rewritten into the history.
Decision Futures · EarthNet + Prometheus
See how different decisions
could create different outcomes.
The former Civilization Engine research direction now lives here. Its useful idea was never a separate world-prediction product; it was transparent branching futures with declared assumptions. That belongs naturally inside EarthNet and Prometheus.
What happens if nothing changes?
Start from the same evidence and mechanism graph used by Prometheus so the baseline is explicit rather than invented separately for the simulation.
Change one decision or assumption.
Introduce a proposed action, resource allocation, policy, reroute or other authorised counterfactual and record exactly what changed between branches.
Compare the downstream chain.
Show which causal pathways produce the difference, which second-order effects appear, and where uncertainty or model sensitivity makes the branch fragile.
Technosphere Twin
When a branch touches infrastructure,
physics gets a vote.
Technosphere Twin becomes a specialist simulation component inside EarthNet Decision Futures for branches involving energy, transport, ports, logistics and other engineered-system dependencies.
Sentinel · Human interrogation
Don't just show me the branches.
Tell me why they diverge.
Sentinel becomes the natural interface to Decision Futures: compare branch A with branch B, identify the causal edge carrying the difference, expose the least trusted assumption and ask what new evidence would change the recommendation.
Why is this outcome different?
Trace the difference back through mechanisms and changed assumptions.
What could make this wrong?
Surface uncertainty, missing evidence, sensitivity and competing pathways before a human acts.
Current monitoring capability
Ten engines.
One connected evidence state.
EarthNet normalises heterogeneous public signals and tracks meaningful change rather than treating every feed as equally trustworthy or every repeated report as a new event.
Seismic and volcanic
Earthquakes, volcanic status, precursor observations and official state changes.
Weather and environmental systems
Severe weather, heat, ocean conditions, flood, wildfire and other environmental pressure.
Infrastructure and wider disruption
Infrastructure pressure, humanitarian consequence and geopolitical context without turning the system into tactical tracking.
Government, research and strategic deployment
Discuss the system EarthNet needs to understand.
A deployment may involve jurisdiction-specific evidence, private infrastructure, secure integrations, custom causal mechanisms or controlled decision-simulation requirements.