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Vijay Janapa Reddi 38a6693724 feat(slides): align 35 lecture decks with textbook and ensure clean PDF render
Pedagogical alignment pass across all 35 Beamer decks (Vol I + Vol II),
auditing each deck against its source textbook chapter and the project's
slide/speaker-note standards.

Content alignment:
- 92 numeric/equation corrections to match the chapter's canonical
  (mlsysim-computed) values: e.g. Iron Law of Scale restored to 4 terms
  (T_sync coordination term), 175B checkpoint 1,050->1,750 GB / 4.5->7.6 PB,
  H100 ridge point made internally consistent (989 FP16), GPT-4 memory
  FP32->FP16 label, twelve->thirteen invariants in the conclusion.
- 119 chapter-grounded additions: missing war stories (Amazon recruiting,
  Knight Capital, OVH fire, OpenAI gang-scheduling, Google Photos, etc.),
  thinner-than-chapter Fallacies & Pitfalls slides, and named equations /
  lighthouse archetypes folded back in.
- Course-overview rebuilds: Bitter Lesson, Software 2.0, silent-vs-loud
  failure (Vol I); Three Walls and Iron Law of Scale through-line (Vol II).

Lecture/render quality:
- Added [N min] timing tags to 958 speaker notes that lacked them.
- Reconciled learning objectives in 17 decks to the chapters' current LOs.
- Fixed 3 compile failures (corrupt image regen, \mlsysfocus un-nesting,
  literal # escaping) and drove every overfull hbox/vbox to zero across all
  35 decks, preferring slide-splits over content cuts (no content removed).
- New thirteen-invariants figure for the conclusion deck.

All 35 decks compile with 0 errors and 0 overfull boxes.
2026-05-29 06:20:52 -04:00
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