conductor(creikey_dl_cv): Phase 5 Verification - end-of-track report + state.toml completed. LAST CHILD of campaign.

2026-06-22 01:46:07 -04:00
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+# Track Completion: video_analysis_creikey_dl_cv_20260621
+
+**Track:** `video_analysis_creikey_dl_cv_20260621`
+**Type:** Per-child research track (Pass 1 of 3) — child #12 of 12 in `video_analysis_campaign_20260621` (LAST CHILD)
+**Status:** SHIPPED
+**Tier:** 2 Tech Lead (per-child dispatch)
+**Ship date:** 2026-06-21
+
+## Summary
+
+Twelfth child of the video_analysis_campaign_20260621 umbrella shipped. All 5 phases executed successfully. Cluster D #1 (Applied / practical). Applied capstone that validates the theory from the prior 11 children against actual game-development practice.
+
+## Phase Results
+
+### Phase 1: Acquire
+
+- **Transcript:** yt-dlp VTT recovered 4186 raw segments. LCS dedup produced 2082 clean segments (74KB).
+- **Video:** yt-dlp downloaded **815MB mp4** (largest in the campaign; format 400+251 merged).
+- **Speaker:** Cameron Wrights (Creikey), indie game developer & DL hobbyist.
+
+### Phase 2: Keyframes
+
+ffmpeg scene detection at threshold 0.05. **1605 unique frames extracted** — highest in the campaign (long, dynamic tutorial video with frequent slide changes, code demonstrations, and visual examples).
+
+### Phase 3: OCR
+
+winsdk OCR processed 1605 frames in 130 seconds. Output: 11199 lines of markdown. **OCR was sparse** — most frames are video content (speaker, demo, screen share) with no extracted text. Transcript (74KB) carries most conceptual content.
+
+### Phase 4: Synthesis
+
+Deep-dive report (1422 lines, 81KB) + summary (~377 words). 10 appendices.
+
+### Phase 5: Verification
+
+All checks pass:
+- [x] All 7 deliverable artifacts present
+- [x] report.md is 1422 lines (within 1000-10000 target)
+- [x] summary.md is ~377 words (within 200-400 target)
+- [x] All 8 report sections + 10 appendices populated, no TBDs
+- [x] Per-task commits with git notes
+- [x] video.mp4 + VTT properly gitignored
+
+## Commits in this dispatch
+
+| SHA | Message |
+|---|---|
+| `9a7ff283` | Phase 1: Acquire — 2082 clean segments (74KB) + 815MB mp4 |
+| `929e2f2c` | Phase 2: Keyframes — 1605 unique frames (threshold 0.05) |
+| `b450cb09` | Phase 3: OCR — 1605 frames OCR'd via winsdk in 130s |
+| `0c58a97c` | Phase 4: Synthesis — report.md (1422 lines, 81KB) + summary.md |
+
+## Key Findings
+
+- **ML as automatic programming** — architecture is the language, training data is the spec, optimization is the compiler, trained model is the program. The "vast majority of performance is in numerical calculations" (GPU compute).
+- **The composability problem** — LLMs are great at single tasks but bad at compositional game behavior. The Dante game (LLM-controlled NPCs from scratch in C) was never released because LLMs are "unpredictable black boxes." Maps to Kumar's FER hypothesis.
+- **John Carmack's pivot** — even systems programmers (Doom, Quake, id Tech) use Python for AI. Carmack's Keen Technologies targets AGI.
+- **The data leak anecdote** — MacroHard's League of Legends prediction paper had a bug (metric computed on entire dataset including test). Lesson: "you have to find like a scientist."
+- **Asteris** — the speaker's multiplayer space game (releasing 2035) with Overwatch-style net code.
+- **Dante's Cowboy failure** — built from scratch in C, LLM-controlled NPCs, never released because of the composability problem.
+- **The vending machine failure** — LLM-controlled businesses convinced to stock tungsten cubes at a loss.
+- **Grok and Arc AGI** — rumor that Grok outperforms GPT-4 due to less safety training.
+- **Interpretability skepticism** — "I don't think there will be any value created from interpretability research."
+- **The indie developer epistemic stance** — pragmatic, skeptical, hands-on, honest.
+
+## CAMPAIGN STATUS: ALL 12 CHILDREN SHIPPED
+
+This is the **LAST child** of the video_analysis_campaign_20260621 umbrella. Only the synthesis track remains.
+
+**Cluster D complete (1/1).** This is the applied capstone that validates theory against practice.
+
+## Forward Connections
+
+This is the last child — no forward children. The synthesis track (`video_analysis_synthesis_20260621`) comes after.
+
+## Backward Connections
+
+This talk synthesizes all 11 prior children:
+- **cs229_building_llms_20260621**: foundational ML concepts.
+- **score_dynamics_giorgini_20260621**: training dynamics.
+- **platonic_intelligence_kumar_20260621**: FER vs UFR; composability = FER problem.
+- **free_lunches_levin_20260621**: bioelectric patterns.
+- **generic_systems_fields_20260621**: generic systems.
+- **brain_counterintuitive_20260621**: reservoir for NPC.
+- **neural_dynamics_miller_20260621**: mixed selectivity for NPC.
+- **multiscale_hoffman_20260621**: trace logic for compositional behavior.
+- **cs336_architectures_20260621**: Transformer architecture.
+
+## Process notes
+
+- 815MB mp4 — the largest video in the campaign (long, dynamic, visual).
+- 1605 keyframes — the highest frame count (long, dynamic content).
+- Speaker is explicitly identified as Cameron Wrights / Creikey.
+- Reference to John Carmack's pivot to AGI; Carmack is referenced in free_lunches_levin acknowledgments.
+- The talk is at BSC 2025 (some conference — specific conference name not stated in transcript).
+- The "indie developer epistemic stance" is the most valuable practical insight from the campaign: pragmatic, skeptical, hands-on, honest.
+
+## Author attribution
+
+Speaker is **Cameron Wrights (Creikey)** — indie game developer and DL hobbyist. The speaker is identified by name in the introduction and explicitly references his GitHub repos (creikey/operomnia, creikey/continuity-clone, creikey/project-orbit, creikey/tiny_engine).
+
+Per the track state at the end: `synthesis_phase_dispatched = true`. The synthesis track will follow this.