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Vijay Janapa Reddi e92f057bca Merge feat/vol4-responsible-physical-ai: Vol IV shaped, Responsible Physical AI added
Vol IV chapters shaped to their concept maps; a new chapter 17,
Responsible Physical AI, after Release, with Frontier renumbered to 18;
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approval record; ledger replaced with plain words; review, fact, and
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Content Structure

Chapter order is derived from each volume's Quarto PDF config (books/config/_quarto-pdf-<vol>.yml), which is the canonical reading order. This file is a readable summary of that order.

Shared skeleton

Every volume uses the same layout:

books/<vol>/
├── index.qmd            volume home
├── README.md            volume readme
├── frontmatter/         *.qmd
├── parts/               <name>_principles.qmd + summaries.yml
├── <chapter>/           <chapter>.qmd + images/
└── backmatter/          references.qmd, appendix_*.qmd, glossary/

The load-bearing invariant is <chapter>/<chapter>.qmd: a chapter directory and its main file share a name. binder/cli/commands/build.py relies on it, and binder/tests/test_content_structure.py enforces it.

Volume I: Introduction to Machine Learning Systems (vol1)

16 chapters. Reading order:

# Kind Path
frontmatter frontmatter/foreword.qmd
frontmatter frontmatter/author_note.qmd
frontmatter frontmatter/about.qmd
frontmatter frontmatter/acknowledgements.qmd
frontmatter frontmatter/ai_use.qmd
frontmatter frontmatter/notation.qmd
1 chapter 01_introduction/01_introduction.qmd
part parts/foundations_principles.qmd
2 chapter 02_system_paradigms/02_system_paradigms.qmd
3 chapter 03_ml_lifecycle/03_ml_lifecycle.qmd
4 chapter 04_data_engineering/04_data_engineering.qmd
part parts/build_principles.qmd
5 chapter 05_nn_computation/05_nn_computation.qmd
6 chapter 06_nn_architectures/06_nn_architectures.qmd
7 chapter 07_frameworks/07_frameworks.qmd
8 chapter 08_training/08_training.qmd
part parts/optimize_principles.qmd
9 chapter 09_data_selection/09_data_selection.qmd
10 chapter 10_model_compression/10_model_compression.qmd
11 chapter 11_hw_acceleration/11_hw_acceleration.qmd
12 chapter 12_benchmarking/12_benchmarking.qmd
part parts/deploy_principles.qmd
13 chapter 13_model_serving/13_model_serving.qmd
14 chapter 14_ml_ops/14_ml_ops.qmd
15 chapter 15_responsible_engr/15_responsible_engr.qmd
16 chapter 16_conclusion/16_conclusion.qmd
backmatter backmatter/appendix_dam.qmd
backmatter backmatter/appendix_data.qmd
backmatter backmatter/appendix_algorithm.qmd
backmatter backmatter/appendix_machine.qmd
backmatter backmatter/appendix_assumptions.qmd
backmatter backmatter/glossary/glossary.qmd
backmatter backmatter/references.qmd

Volume II: Scaling Machine Learning Systems (vol2)

17 chapters. Reading order:

# Kind Path
frontmatter frontmatter/dedication.qmd
frontmatter frontmatter/author_note.qmd
frontmatter frontmatter/about.qmd
frontmatter frontmatter/acknowledgements.qmd
frontmatter frontmatter/ai_use.qmd
frontmatter frontmatter/notation.qmd
1 chapter 01_introduction/01_introduction.qmd
part parts/fleet_principles.qmd
2 chapter 02_compute_infrastructure/02_compute_infrastructure.qmd
3 chapter 03_network_fabrics/03_network_fabrics.qmd
4 chapter 04_data_storage/04_data_storage.qmd
part parts/distributed_ml_principles.qmd
5 chapter 05_collective_communication/05_collective_communication.qmd
6 chapter 06_distributed_training/06_distributed_training.qmd
7 chapter 07_fault_tolerance/07_fault_tolerance.qmd
8 chapter 08_fleet_orchestration/08_fleet_orchestration.qmd
part parts/deployment_principles.qmd
9 chapter 09_performance_engineering/09_performance_engineering.qmd
10 chapter 10_inference/10_inference.qmd
11 chapter 11_edge_intelligence/11_edge_intelligence.qmd
12 chapter 12_ops_scale/12_ops_scale.qmd
part parts/responsible_fleet_principles.qmd
13 chapter 13_security_privacy/13_security_privacy.qmd
14 chapter 14_robust_ai/14_robust_ai.qmd
15 chapter 15_sustainable_ai/15_sustainable_ai.qmd
16 chapter 16_responsible_ai/16_responsible_ai.qmd
17 chapter 17_conclusion/17_conclusion.qmd
backmatter backmatter/references.qmd
backmatter backmatter/appendix_dam.qmd
backmatter backmatter/appendix_c3.qmd
backmatter backmatter/appendix_fleet.qmd
backmatter backmatter/appendix_communication.qmd
backmatter backmatter/appendix_reliability.qmd
backmatter backmatter/appendix_inference.qmd
backmatter backmatter/appendix_assumptions.qmd
backmatter backmatter/glossary/glossary.qmd

Volume III: Agentic Machine Learning Systems (vol3)

23 chapters. Reading order:

# Kind Path
frontmatter frontmatter/dedication.qmd
frontmatter frontmatter/author_note.qmd
frontmatter frontmatter/about.qmd
frontmatter frontmatter/acknowledgements.qmd
frontmatter frontmatter/ai_use.qmd
frontmatter frontmatter/notation.qmd
1 chapter 01_introduction/01_introduction.qmd
part parts/model_principles.qmd
2 chapter 02_foundation_model/02_foundation_model.qmd
3 chapter 03_test_time_compute/03_test_time_compute.qmd
part parts/memory_principles.qmd
4 chapter 04_context_engineering/04_context_engineering.qmd
5 chapter 05_kv_cache/05_kv_cache.qmd
6 chapter 06_long_term_memory/06_long_term_memory.qmd
part parts/tool_use_principles.qmd
7 chapter 07_tool_calling/07_tool_calling.qmd
8 chapter 08_sandboxes/08_sandboxes.qmd
9 chapter 09_security/09_security.qmd
part parts/runtime_principles.qmd
10 chapter 10_agent_harness/10_agent_harness.qmd
11 chapter 11_durable_execution/11_durable_execution.qmd
12 chapter 12_failure_recovery/12_failure_recovery.qmd
13 chapter 13_evaluation/13_evaluation.qmd
14 chapter 14_agent_operations/14_agent_operations.qmd
part parts/learning_principles.qmd
15 chapter 15_trajectory_curation/15_trajectory_curation.qmd
16 chapter 16_fine_tuning/16_fine_tuning.qmd
17 chapter 17_rlvr/17_rlvr.qmd
part parts/scale_principles.qmd
18 chapter 18_multi_agent/18_multi_agent.qmd
19 chapter 19_agent_economics/19_agent_economics.qmd
part parts/synthesis_principles.qmd
20 chapter 20_conclusion/20_conclusion.qmd
backmatter backmatter/appendix_math.qmd
backmatter backmatter/appendix_inference.qmd
backmatter backmatter/appendix_systems.qmd
21 chapter appendices/app_a_reference_architecture.qmd
22 chapter appendices/app_b_tool_design.qmd
23 chapter appendices/app_c_failure_taxonomy.qmd
backmatter backmatter/glossary/glossary.qmd

Volume IV: Physical AI Systems (vol4)

18 chapters. Reading order:

# Kind Path
frontmatter frontmatter/dedication.qmd
frontmatter frontmatter/author_note.qmd
frontmatter frontmatter/about_author.qmd
frontmatter frontmatter/prerequisites.qmd
frontmatter frontmatter/acknowledgements.qmd
frontmatter frontmatter/ai_use.qmd
frontmatter frontmatter/notation.qmd
1 chapter 01_boundary/01_boundary.qmd
part parts/anatomy_principles.qmd
2 chapter 02_body/02_body.qmd
3 chapter 03_brain/03_brain.qmd
4 chapter 04_nervous/04_nervous.qmd
part parts/teaching_principles.qmd
5 chapter 05_data/05_data.qmd
6 chapter 06_training/06_training.qmd
7 chapter 07_evaluation/07_evaluation.qmd
part parts/running_principles.qmd
8 chapter 08_perception/08_perception.qmd
9 chapter 09_memory/09_memory.qmd
10 chapter 10_intent/10_intent.qmd
11 chapter 11_planning/11_planning.qmd
12 chapter 12_enforcement/12_enforcement.qmd
13 chapter 13_placement/13_placement.qmd
part parts/governing_principles.qmd
14 chapter 14_intervention/14_intervention.qmd
15 chapter 15_verification/15_verification.qmd
16 chapter 16_release/16_release.qmd
17 chapter 17_responsibility/17_responsibility.qmd
18 chapter 18_frontier/18_frontier.qmd
backmatter backmatter/references.qmd
backmatter backmatter/appendix_ml.qmd
backmatter backmatter/appendix_control.qmd
backmatter backmatter/appendix_systems.qmd
backmatter backmatter/appendix_spa.qmd
backmatter backmatter/glossary/glossary.qmd