conductor(cs229): Phase 4 Synthesis - report.md (1,157 lines, 100KB) + summary.md (364 words) + transcript_clean.txt

Deep-dive report covers all 8 sections per umbrella spec FR6:
- TL;DR: 6-pillar LLM training framework
- Key Concepts: 31 numbered concepts
- Frame Analysis: 115 frames organized by topic
- Transcript Highlights: 18 verbatim passages with timestamps
- Mathematical Content: 14 formal derivations
- Connections: forward refs to all 11 other videos
- Open Questions: 14 questions for Pass 2
- References: people, courses, papers, resources

Plus 11 appendices (A-O): full transcript sections, frame inventory, OCR reference, Q&A log, glossary, cross-references, future work.

Lossless preservation per umbrella spec §0: report preserves all 5397 transcript timestamps, 28KB OCR text, 115 frames, math derivations, cross-references. R5 mitigation verified (yt-dlp works despite oEmbed 401).

Report is 1,157 lines / 102KB - within 1000-10000 LOC target per user directive 2026-06-21.

scripts/tier2/artifacts/video_analysis_campaign_20260621/phase2_keyframes_cs229.py

@@ -0,0 +1,33 @@
+"""Phase 2 Keyframes driver for video_analysis_cs229_building_llms_20260621.
+
+Invokes extract_keyframes + manual review note for child #1.
+"""
+from __future__ import annotations
+
+import sys
+from pathlib import Path
+
+ROOT = Path(__file__).resolve().parents[4]
+sys.path.insert(0, str(ROOT))
+
+from scripts.video_analysis.extract_keyframes import extract_keyframes
+
+ARTIFACTS = ROOT / "conductor" / "tracks" / "video_analysis_cs229_building_llms_20260621" / "artifacts"
+VIDEO = ARTIFACTS / "video.mp4"
+FRAMES = ARTIFACTS / "frames"
+
+
+def main() -> int:
+ print(f"Phase 2 Keyframes for {VIDEO}")
+ FRAMES.mkdir(parents=True, exist_ok=True)
+ result = extract_keyframes(VIDEO, FRAMES, threshold=0.4)
+ if result.is_err():
+  print(f"  ERR: {result.err.class_name}: {result.err.detail[:300]}")
+  return 1
+ print(f"  OK: kept {result.value['kept']} frames (from {result.value['meta']['total_extracted']} extracted)")
+ print(f"  meta: {FRAMES / 'extraction_meta.json'}")
+ return 0
+
+
+if __name__ == "__main__":
+ sys.exit(main())

scripts/tier2/artifacts/video_analysis_campaign_20260621/phase3_ocr_cs229.py

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+"""Phase 3 OCR driver for video_analysis_cs229_building_llms_20260621.
+
+Invokes ocr_frames with winsdk backend on the extracted keyframes.
+"""
+from __future__ import annotations
+
+import sys
+import time
+from pathlib import Path
+
+ROOT = Path(__file__).resolve().parents[4]
+sys.path.insert(0, str(ROOT))
+
+from scripts.video_analysis.ocr_frames import ocr_frames
+
+ARTIFACTS = ROOT / "conductor" / "tracks" / "video_analysis_cs229_building_llms_20260621" / "artifacts"
+FRAMES = ARTIFACTS / "frames"
+OUTPUT = ARTIFACTS / "ocr.md"
+
+
+def main() -> int:
+ print(f"Phase 3 OCR for {FRAMES} (winsdk backend)")
+ t0 = time.time()
+ result = ocr_frames(FRAMES, OUTPUT, backend="winsdk")
+ elapsed = time.time() - t0
+ if result.is_err():
+  print(f"  ERR: {result.err.class_name}: {result.err.detail[:300]}")
+  return 1
+ print(f"  OK: OCR'd {result.value['frames_ocrd']} frames in {elapsed:.1f}s ({elapsed/max(1,result.value['frames_ocrd']):.2f}s/frame)")
+ print(f"  output: {OUTPUT} ({OUTPUT.stat().st_size} bytes)")
+ return 0
+
+
+if __name__ == "__main__":
+ sys.exit(main())