Claude
a4e9bcb34b
feat: 10 exotic frontier discovery datasets — 233 entries across 10 domains
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New discovery files covering unexplored knowledge frontiers:
- Exotic AI architectures (25): Liquid NNs, KANs, Mamba, Neural ODEs, MoE
- Consciousness & cognition (20): IIT, GWT, Free Energy, Active Inference
- Quantum biology (20): photosynthesis coherence, enzyme tunneling, magnetoreception
- Convergent technologies (20): BCI, xenobots, molecular machines, DNA computing
- Dark frontiers (21): dark matter/energy, vacuum decay, Fermi paradox
- Xenolinguistics (15): SETI protocols, whale decoding, biosemiotics
- Post-scarcity economics (15): UBI, DAOs, degrowth, circular economy
- Biomimetic systems (15): slime mold computing, mycelial networks, neuromorphic
- Temporal physics (14): time crystals, CTCs, retrocausality, causal sets
- Metacognition & learning (18): MAML, self-play, DreamerV3, MuZero, RLHF
https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
2026-03-16 23:21:01 -04:00
Claude
d5fde5f5f4
feat: Middle East causal analysis — 37-layer model, 63-node network, 25-actor DIME
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- swarm_mideast_causal_layers.json: 37 entries across 3 layers (structural,
triggers, accelerants) with severity, trend, and time horizon
- swarm_mideast_causal_network.json: 63 nodes (37 causes + 14 actors +
5 resources + 7 outcomes), 103 directed edges with evidence citations
- swarm_mideast_actors_interests.json: 25 actors (14 state, 6 non-state,
5 institutions) with DIME framework analysis and 2025-2026 predictions
https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
2026-03-16 23:21:01 -04:00
Claude
c9a0261016
feat: cross-domain geopolitical correlations and swarm manifest from 15-agent exploration
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Add swarm_geopolitics_correlations.json with 12 cross-domain correlation
entries mapping relationships between energy-compute nexus, war-energy-inflation
loops, sovereign compute race, dollar hegemony erosion, defense-tech convergence,
nuclear proliferation chains, and 6 other systemic risk patterns. Each correlation
includes evidence from collected datasets, risk levels (1-10), trend directions,
second-order effects, and actionable insights.
Add swarm_manifest.json cataloging all 120 swarm discovery files (1,677 total
entries, 1.48 MB) across 15 specialized agents covering geopolitics, technology,
energy, finance, defense, space, environment, and science domains.
https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
2026-03-16 23:17:01 -04:00
Claude
17ded318d0
feat: 691 discoveries, 50 cross-domain correlations via per-node PPR
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Expanded to 13 domains with 14 new data sources:
- Extreme exoplanets (ultra-short period), NOAA solar wind/sunspots,
ESO press releases, CERN Higgs, NASA Techport, SIMBAD pulsars,
TESS planet candidates, deep earthquakes (>300km), WHO global health,
SDSS galaxies, satellite fires, Mars weather
Pipeline improvements:
- Per-node ForwardPush PPR (eps=0.0001) instead of domain-seed
- 12-NN sparse graph for better cross-domain bridge detection
- De-duplicated correlations with seen-set
Top novel discoveries by sublinear solver:
- Space-science → Earth: solar activity correlates with deep earthquakes
- Materials-physics → Space-science: solar region AR14384 persistence
- Earth-science → Economics: crypto bear market + global growth slowdown
- Culture → Space-science: elevated solar activity + dense NEO approaches
https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
2026-03-16 23:17:00 -04:00
Claude
402d5dccd8
feat: ETL pipeline with sublinear ForwardPush PPR for cross-domain discovery
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Three-stage pipeline (Extract → Transform → Load) using ruvector-solver:
- Extract: loads 460+ discoveries from 48 JSON data sources
- Transform: embeds into 64-dim vectors, builds 8-NN sparse graph,
runs ForwardPush PPR (sublinear O(1/ε), Andersen-Chung-Lang 2006)
- Load: outputs ranked cross-domain correlations + 12×12 domain matrix
New data sources from parallel explorer swarms:
- Humanities: Harvard Art, Library of Congress, Open Library, Nobel, Smithsonian
- Genetics/Env: ClinVar variants, GBIF endangered, EPA air, marine, satellite fires
- Tech/Infra: GitHub trending, Hacker News, SpaceX, ISS, crypto/forex markets
Novel discoveries found by PPR:
- Technology→Earth climate correlation (equatorial weather patterns)
- Technology→Space-science link (ultra-short period brown dwarf)
- Life-science→Academic (agentic AI + GPCR drug discovery bridge)
https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
2026-03-16 23:17:00 -04:00
Claude
bf244c35e0
feat: expand discovery swarm to 25+ domains with 200+ new entries
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New data sources: NASA APOD, GBIF biodiversity, Open-Meteo climate,
solar flares, USGS rivers, arXiv papers, NOAA ocean buoys, disease
tracking, air quality, 126 asteroid close approaches, NASA natural
events (wildfires), and cross-domain correlation engine.
Also adds train-discoveries crate for RuVector-based cross-domain
similarity search training pipeline.
https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
2026-03-16 23:16:24 -04:00
Claude
a6c660655c
feat: 15-agent concurrent discovery swarm with 12 new data sources
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Add swarm_train_15.sh that runs 15 parallel discovery agents targeting
all undertrained domains. New sources: NCBI Gene, UniProt, CrossRef,
CERN Open Data, PubChem, World Bank (expanded), NASA DONKI (CME/IPS/SEP).
Coverage: 140 total discoveries across 5 domains:
- space-science: 46 (exoplanets, NEOs, GW, CMEs, flares)
- medical-genomics: 35 (PubMed, NCBI Gene, UniProt proteins)
- earth-science: 25 (earthquakes, geomagnetic storms)
- materials-physics: 18 (CERN, PubChem, CrossRef)
- economics-finance: 16 (World Bank GDP/CPI/unemployment)
https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
2026-03-16 23:16:24 -04:00
Claude
67444abf9c
feat: discover ↔ train feedback loop with live API discovery
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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
Claude
63c23a623f
feat: discovery data from 4 domains + trainer Dockerfile
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Live discoveries from NASA, USGS, NOAA, arXiv, OpenAlex, World Bank,
CoinGecko across space, earth, academic, and economics domains.
Dockerfile for the daily brain training Cloud Run job.
https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
2026-03-16 23:14:43 -04:00
