ruvector/examples/data/discoveries/brain_gaps.json at main - vrr/ruvector - VRR Forge

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Claude 67444abf9c feat: discover ↔ train feedback loop with live API discovery

Add scripts/discover_and_train.sh — a 2-cycle feedback loop that:
1. DISCOVER: Fetches live data from NASA (exoplanets, NEOs), USGS
   (earthquakes), NOAA (solar/geomagnetic), PubMed, LIGO GraceDB,
   and World Bank APIs
2. TRAIN: Uploads discoveries to pi.ruv.io brain via challenge-nonce auth
3. REFLECT: Queries brain for underrepresented domains
4. REDISCOVER: Targeted gap-filling (PubMed, deep earthquakes, GW events)
5. RETRAIN: Feeds gap-fill discoveries back to brain

Includes live discovery data from today's run:
- 16 anomalous exoplanets (z-score > 2σ mass outliers)
- 4 near-Earth objects (1 hazardous)
- 9 significant earthquakes + 1 geomagnetic storm
- 5 PubMed medical research papers
- 5 LIGO gravitational wave events
- 2 World Bank GDP indicators

61 total memories successfully trained to brain (46 + 15 gap-fill).

https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby

2026-03-16 23:16:24 -04:00

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{"underrepresented":["medical","materials","genomics","gravitational-wave","deep-focus"],"gap_analysis":"Brain unreachable, using defaults"}