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Epictetus 8d0c832e20 Add Athena whitepaper — system architecture, pattern detection, opportunity discovery 
12 sections covering:
- Problem statement (AI signal crisis)
- 5-source architecture and scoring methodology
- Verification discipline
- Trend detection & falsification engine
- Signal-to-opportunity pipeline (Competence Gate example)
- Agentic capability assessment
- Technical specs (3731 lines, 5 commits, 99 entries)
- Roadmap (immediate, near-term, long-term)
- Appendices (git history, verification log, current snapshot)
 2026-07-08 06:21:43 +00:00
Epictetus 4ba270c166 Add Hugging Face adapter — model releases & adoption signal 
- adapters/huggingface.py: HF API adapter (models + datasets)
- Dual fetch: sort=likes (popularity) + sort=lastModified (fresh)
- AI relevance filter: pipeline_tag, library_name, tag matching
- Score: adoption (likes/downloads log-scale) + relevance (pipeline/library/tags)
- score_type: actual (real likes/downloads from HF API)
- Cross-source signal: GLM-5.2 top on both HN and HF
- Wired into ENABLED_SOURCES + verification in pipeline.py
- Live verify: DB likes match live API exactly (GLM-5.2: 3607, DeepSeek-R1: 13448)
- 99 total entries across 5 sources, all pipeline green
 2026-07-08 05:54:27 +00:00
Epictetus 6396b66b45 Add Hacker News adapter + wire into pipeline 
- adapters/hackernews.py: HN Firebase API adapter with AI keyword filtering
- Word-boundary matching to avoid substring traps (Britain/Guinea)
- Score: log(points) + log(comments), actual HN scores
- Wired into ENABLED_SOURCES + verification in pipeline.py
- Live test: 10 AI/ML stories fetched, all clean
 2026-07-08 05:32:28 +00:00
Epictetus 729760fb27 Phase 6: theme trend-scan (B) + competitor gap research (A) 
- theme_scan.py: tags entries by 4 practitioner themes (tool-call/context/
  compute/trust), counts NEW arrivals per cron cycle (falsification check for
  one-day-cluster vs trend). Idempotent: re-run = 0 new.
- schema.sql: theme_tags table (separate from core entries schema)
- oracle-pipeline.sh: wire theme_scan after summarize
- A result (footnote): unified discipline layer unoccupied; adjacent OSS
  entrants exist (agentgateway, lelu) but no portable unified layer.

Verified: theme_scan classifies 5 seed/extra items, 2nd run = 0 new.
 2026-07-08 04:50:01 +00:00
Epictetus b51be6ed48 Phase 5: cron entry script, soft-cap archive, run_log zero-fetch degradation 
- oracle-pipeline.sh: single cron entry point (pipeline -> summarize -> archive)
- archive.py: soft-cap archival to entries_archive (preserve, not delete)
- pipeline.py: record zero-fetch (rate-limited) runs as degraded in run_log.notes
Verified: full script runs exit 0, run_log captures per-source status.
 2026-07-08 04:07:54 +00:00
Epictetus 67c002b665 Initial commit: Oracle AI research pipeline (adapters, pipeline, summarize, query) 
Source-controlled baseline before Phase 5 cron. Excludes oracle.db,
logs/, and __pycache__ via .gitignore. Pipeline verified running
clean end-to-end (run_log write confirmed before conn.close()).
 2026-07-08 04:03:36 +00:00