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e247bfef8f
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Run pipeline, write Post 08, commit untracked files
Pipeline:
- Extract ideas for 38 new drafts → 462 ideas total
- Convergence analysis: 132 cross-org convergent ideas (33% rate)
- Fetch authors for 102 drafts → 709 authors (up from 403)
- Refresh gap analysis: 12 gaps across full 474-draft corpus
- Update verified counts with new totals
Post 08:
- Complete rewrite of "Agents Building the Agent Analysis" (2,953 words)
- Covers 3 phases: writing team → review cycle → fix cycle
- Meta-irony table mapping team coordination to IETF gap names
- Specific examples from dev journal (SQL injection, consent conflation, ideas mismatch)
Untracked files committed:
- scripts/: backfill-wg-names, classify-unrated, compare-classifiers, download-relevant-text, run-webui
- src/ietf_analyzer/classifier.py: two-stage Ollama classifier
- src/webui/: analytics (GDPR-compliant), auth, obsidian_export
- tests/test_obsidian_export.py (10 tests)
- data/reports/: wg-analysis, generated draft for gap #37
Housekeeping:
- .gitignore: exclude LaTeX artifacts, stale DBs, analytics.db
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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2026-03-08 15:31:30 +01:00 |
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439424bd04
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Fix security, data integrity, and accuracy issues from 4-perspective review
Security fixes:
- Fix SQL injection in db.py:update_generation_run (column name whitelist)
- Flask SECRET_KEY from env var instead of hardcoded
- Add LLM rating bounds validation (_clamp_rating, 1-10)
- Fix JSON extraction trailing whitespace handling
Data integrity:
- Normalize 21 legacy category names to 11 canonical short forms
- Add false_positive column, flag 73 non-AI drafts (361 relevant remain)
- Document verified counts: 434 total/361 relevant drafts, 557 authors, 419 ideas, 11 gaps
Code quality:
- Fix version string 0.1.0 → 0.2.0
- Add close()/context manager to Embedder class
- Dynamic matrix size instead of hardcoded "260x260"
Blog accuracy:
- Fix EU AI Act timeline (enforcement Aug 2026, not "18 months")
- Distinguish OAuth consent from GDPR Einwilligung
- Add EU AI Act Annex III context to hospital scenario
- Add FIPA, eIDAS 2.0 references where relevant
Methodology:
- Add methodology.md documenting pipeline, limitations, rating rubric
- Add LLM-as-judge caveats to analyzer.py
- Document clustering threshold rationale
Reviews from: legal (German/EU law), statistics, development, science perspectives.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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2026-03-08 10:52:33 +01:00 |
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