God’s Eye View: a globe, AI interaction and honest data boundaries
Build a synthetic environmental globe lesson with explicit freshness and validation states
Design a safe extension that teaches source acceptance and display limits without connecting personal tracking or live warning systems.
What you will learn
- Keep the first dataset synthetic
- Show data state and presentation state separately
- Add interaction only after the evidence is understandable
Before you start
- Basic JavaScript and JSON
- Understanding of coordinates and source timestamps
Explain how source records, validation, layer presentation and optional AI interaction differ, using synthetic examples.
Key takeaways
- Synthetic data can teach the real source contract.
- Separate source acceptance from label selection.
- Unknown timestamps should not become invented freshness.
Keep the first dataset synthetic
Create a small set of invented environmental events with stable IDs, coordinates and optional fields. Clearly label the dataset as synthetic in both the table and globe. Use ordinary fictional labels rather than real people, private locations or a claim about current hazards.
Include a valid empty snapshot, a malformed snapshot, a subthreshold event and a duplicate identifier. These cases explain the source contract better than a demo containing only perfect records. The goal is to teach how an application decides what it can display, not to simulate emergency authority.
Show data state and presentation state separately
A useful design has one panel for accepted source records and another for selected labels. Record source time separately from receipt time, and preserve unknown timestamps. Show why a label was omitted without suggesting the underlying observation disappeared.
Our eighteen isolated tests can anchor the parser portion of this lesson. They do not verify Cesium rendering or the layer’s full cancellation lifecycle. A future adapter should be evaluated with controlled delayed and failed responses before claiming that stale updates cannot change the view.
Add interaction only after the evidence is understandable
Start with static fixtures and a readable state table. A globe becomes worthwhile when learners explore coordinate order, spatial context and label density. Keep a text alternative and source attribution; effects should remain clearly labeled as presentation.
Voice and live feeds can be later, separately authorized exercises. This proposal creates no monitoring service, location trail, microphone session or provider account. Its completion criterion is whether a learner can explain empty, invalid, filtered and hidden-label states without confusing them.
Decision guide
| Criterion | Option A | Option B |
|---|---|---|
| Best when | You need predictable behavior and easy auditing | You need adaptive optimization and have reliable telemetry |
| Main risk | May leave performance on the table | Can become difficult to explain or debug |
Implementation steps
- 1
Create clearly labeled fictional events.
- 2
Include empty, invalid, filtered and duplicate cases.
- 3
Compare accepted records with selected labels.
- 4
Validate delayed responses before any future live adapter.
Copy-ready example
{
"proposal": true,
"dataMode": "synthetic",
"sourceTimeMs": null,
"receiptTimeMs": null,
"snapshotAccepted": null,
"labelCount": null,
"liveMonitoringCreated": false,
"microphoneSessionCreated": false
}Frequently asked questions
Is this an existing live warning feature?
No. It is an editorial proposal for a synthetic learning extension.
Does it enable tracking or microphone access?
No. It creates neither location tracking nor a voice session.
Sources
- God’s Eye View / src/layers/earthquakes/model.jsSource checked 2026-09-14
- God’s Eye View / src/layers/earthquakes/source.jsSource checked 2026-09-14
- God’s Eye View / docs/APPLICATION.mdSource checked 2026-09-14
- God’s Eye View / SECURITY.mdSource checked 2026-09-14