chore(edu): update bean statuses and write self-play chapter content

Archive self-play beans, update shader/LLM parent beans to completed,
and add self-play chapter content to ml-self-play.md.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

edu/.beans/archive/edu-3yw9--write-2-monte-carlo-tree-search-algorithm-explaine.md

@@ -1,11 +1,14 @@
 ---
 # edu-3yw9
 title: 'Write §2: Monte Carlo Tree Search — algorithm explained'
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T20:03:17Z
-updated_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T22:48:46Z
 parent: edu-coqp
 ---
 
 Step-by-step walkthrough of MCTS: selection (UCB1), expansion, simulation/rollout, backpropagation. Include a worked example on a small game tree.
+
+## Summary of Changes\n\nWrote full content for §2 covering MCTS algorithm: the four phases (selection, expansion, simulation, backpropagation), UCB1/UCT formula, worked ASCII tree example, and strengths/limitations.

edu/.beans/archive/edu-453h--write-13-the-full-alphago-zero-training-loop.md

@@ -0,0 +1,14 @@
+---
+# edu-453h
+title: 'Write §13: The full AlphaGo Zero training loop'
+status: completed
+type: task
+priority: normal
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-16T01:35:06Z
+parent: edu-coqp
+---
+
+Reading lesson: generate → train → evaluate → promote. Discuss the ELO-based model selection step and why it matters.
+
+## Summary of Changes\n\nWrote full content for §13 covering the complete AlphaGo Zero training loop: self-play with temperature, training, evaluation gate, and the iterative improvement cycle with complete Rust implementation.

edu/.beans/archive/edu-4v13--write-8-exercise-2-play-tic-tac-toe-with-pure-mcts.md

@@ -1,11 +1,16 @@
 ---
 # edu-4v13
 title: 'Write §8: Exercise 2 — play Tic-Tac-Toe with pure MCTS'
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T20:03:17Z
-updated_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T23:04:14Z
 parent: edu-coqp
 ---
 
 Exercise: wire MCTS to the game logic from Exercise 1 and run a match. Show sample output, discuss iteration count vs strength.
+
+## Summary of Changes
+
+Wrote full content for §8: Exercise 2 with MCTS vs MCTS tournament (100 games, iteration count experiments), human vs MCTS CLI game, experimentation prompts, and readiness checklist.

edu/.beans/archive/edu-5go8--write-3-why-self-play-the-alphago-zero-insight.md

@@ -1,11 +1,14 @@
 ---
 # edu-5go8
 title: 'Write §3: Why self-play? The AlphaGo Zero insight'
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T20:03:17Z
-updated_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T22:51:31Z
 parent: edu-coqp
 ---
 
 Explain the key insight: a capable engine can be its own teacher. Historical context (AlphaGo vs AlphaGo Zero) and why the approach generalises.
+
+## Summary of Changes\n\nWrote full content for §3 covering the evolution from Deep Blue to AlphaGo Zero, the self-play insight, the virtuous training cycle, and how we'll adapt the approach for Tic-Tac-Toe.

edu/.beans/archive/edu-7lu6--write-12-exercise-4-replace-rollout-with-the-value.md

@@ -0,0 +1,16 @@
+---
+# edu-7lu6
+title: 'Write §12: Exercise 4 — replace rollout with the value network'
+status: completed
+type: task
+priority: normal
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-16T01:31:54Z
+parent: edu-coqp
+---
+
+Exercise: substitute random rollout in MCTS with a neural-network value estimate; compare strength before and after.
+
+## Summary of Changes
+
+Wrote full content for §12: Exercise 4 covering PUCT formula, replacing random rollouts with value network evaluation, adding policy priors to MCTS nodes, modified MCTS code, and pure vs network-guided MCTS comparison.

edu/.beans/archive/edu-brtk--write-14-exercise-5-1000-self-play-games-observe-i.md

@@ -0,0 +1,14 @@
+---
+# edu-brtk
+title: 'Write §14: Exercise 5 — 1000 self-play games; observe improvement'
+status: completed
+type: task
+priority: normal
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-16T01:40:32Z
+parent: edu-coqp
+---
+
+Capstone exercise: run the full self-play loop for 1000 games; plot win-rate over iterations; discuss what worked and what didn't.
+
+## Summary of Changes\n\nWrote full content for §14: Exercise 5 — the capstone exercise running 1000 self-play games, tracking diagnostics, validating convergence to perfect play, and providing next steps for further learning.

edu/.beans/archive/edu-coqp--edu-write-machine-learning-chapter-self-play-game.md

@@ -1,11 +1,11 @@
 ---
 # edu-coqp
 title: 'edu: write Machine Learning chapter (self-play game AI, Alpha Go Zero style)'
-status: in-progress
+status: completed
 type: feature
 priority: low
 created_at: 2026-03-10T23:30:01Z
-updated_at: 2026-03-13T20:03:44Z
+updated_at: 2026-03-16T01:40:56Z
 ---
 
 ## Background
@@ -44,3 +44,5 @@ A self-play reinforcement learning course. The practical focus is implementing a
 
 - `edu/src/ml-self-play.md`
 - Add to `edu/src/SUMMARY.md` under a `# Machine Learning` section
+
+## Summary of Changes\n\nAll 14 sections written (7,622 lines total). The chapter covers:\n- Part 1 (§1-3): RL fundamentals, MCTS algorithm, AlphaGo Zero insight\n- Part 2 (§4-6): Tic-Tac-Toe as learning vehicle, Rust game state, Exercise 1\n- Part 3 (§7-8): MCTS implementation in Rust, Exercise 2 (pure MCTS play)\n- Part 4 (§9-12): NN from scratch, training on MCTS data, PUCT-guided MCTS\n- Part 5 (§13-14): Full self-play training loop, capstone exercise

edu/.beans/archive/edu-e39n--write-5-representing-game-state-in-rust.md

@@ -0,0 +1,16 @@
+---
+# edu-e39n
+title: 'Write §5: Representing game state in Rust'
+status: completed
+type: task
+priority: normal
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T22:56:30Z
+parent: edu-coqp
+---
+
+Reading lesson: design of Board, Player, Move types. Discuss representation trade-offs (bitboard vs array). Show the full type definitions.
+
+## Summary of Changes
+
+Wrote full content for §5 covering Rust game state representation: Player enum, GameState struct, board indexing, Display impl, move generation, winner checking, and immutable apply_move design.

edu/.beans/archive/edu-iv0k--write-9-neural-network-architecture-overview.md

@@ -0,0 +1,16 @@
+---
+# edu-iv0k
+title: 'Write §9: Neural network architecture overview'
+status: completed
+type: task
+priority: normal
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T23:07:35Z
+parent: edu-coqp
+---
+
+Conceptual lesson: shared convolutional trunk, policy head (move probabilities), value head (win probability). Diagrams encouraged. No code yet.
+
+## Summary of Changes
+
+Wrote full content for §9 covering neural network fundamentals from scratch: neurons/weights/biases, layers, forward pass, training intuition, and the dual-headed policy+value architecture for game AI with concrete TTT dimensions.

edu/.beans/archive/edu-k3tq--write-4-choosing-a-simple-game-tic-tac-toe.md

@@ -0,0 +1,16 @@
+---
+# edu-k3tq
+title: 'Write §4: Choosing a simple game — Tic-Tac-Toe'
+status: completed
+type: task
+priority: normal
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T22:53:54Z
+parent: edu-coqp
+---
+
+Explain why Tic-Tac-Toe is ideal: small state space, deterministic, zero-sum, easily verifiable. Foreshadow how the same approach scales to Go/Chess.
+
+## Summary of Changes
+
+Wrote full content for §4 covering why Tic-Tac-Toe is the ideal learning vehicle: suitable game properties, game tree size, known optimal solution as validation target, and comparison with alternatives.

edu/.beans/archive/edu-lqky--write-11-exercise-3-train-the-network-on-mcts-data.md

@@ -0,0 +1,14 @@
+---
+# edu-lqky
+title: 'Write §11: Exercise 3 — train the network on MCTS data'
+status: completed
+type: task
+priority: normal
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-16T00:32:55Z
+parent: edu-coqp
+---
+
+Exercise: generate training examples (state, policy vector, value) from pure MCTS self-play; run one training epoch; log loss.
+
+## Summary of Changes\n\nWrote full content for §11: Exercise 3 covering MCTS data generation pipeline, TrainingExample struct, mini-batch SGD training loop, loss tracking, network evaluation, and experimentation prompts.

edu/.beans/archive/edu-of9y--write-7-implementing-mcts-in-rust.md

@@ -1,11 +1,14 @@
 ---
 # edu-of9y
 title: 'Write §7: Implementing MCTS in Rust'
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T20:03:17Z
-updated_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T23:01:59Z
 parent: edu-coqp
 ---
 
 Walk through selection (UCB1 formula), expansion, simulation (random rollout), backpropagation. Show Rust code for the node structure and the four phases.
+
+## Summary of Changes\n\nWrote full content for §7 covering MCTS implementation in Rust: arena-allocated node structure, all four phases implemented and explained, UCT calculation, main loop, and move selection.

edu/.beans/archive/edu-pvou--write-10-integrating-a-neural-network-crate.md

@@ -0,0 +1,14 @@
+---
+# edu-pvou
+title: 'Write §10: Integrating a neural network crate'
+status: completed
+type: task
+priority: normal
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T23:11:44Z
+parent: edu-coqp
+---
+
+Reading lesson: evaluate tch-rs vs candle for this use case; show how to define and initialise the network; basic forward-pass usage.
+
+## Summary of Changes\n\nWrote full content for §10 covering from-scratch neural network implementation in Rust: Layer struct, forward pass with ReLU/softmax/tanh, illegal move masking, Xavier initialization, backpropagation, SGD training, and complete compilable code.

edu/.beans/archive/edu-wobk--write-1-what-is-reinforcement-learning.md

@@ -0,0 +1,14 @@
+---
+# edu-wobk
+title: 'Write §1: What is reinforcement learning?'
+status: completed
+type: task
+priority: normal
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T22:46:18Z
+parent: edu-coqp
+---
+
+Cover: state, action, reward, policy, value function. Intuitive explanation with a game-playing example. No code.
+
+## Summary of Changes\n\nWrote full content for §1 covering RL fundamentals: agent/environment loop, state/action/reward/policy/value concepts, contrast with supervised/unsupervised learning, and why RL fits games.

edu/.beans/archive/edu-ymux--write-6-exercise-1-implement-tic-tac-toe-game-logi.md

@@ -1,11 +1,14 @@
 ---
 # edu-ymux
 title: 'Write §6: Exercise 1 — implement Tic-Tac-Toe game logic'
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T20:03:17Z
-updated_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T22:58:06Z
 parent: edu-coqp
 ---
 
 Hands-on exercise: move generation, win detection, terminal-state check, displaying the board. Include starter code and expected test output.
+
+## Summary of Changes\n\nWrote full content for §6: Exercise 1 with project setup instructions, 8 unit test specifications with collapsible solutions, a random-game main function, and a readiness checklist.

edu/.beans/edu-10m1--9-exercise-2-draw-a-coloured-triangle.md

@@ -1,10 +1,11 @@
 ---
 # edu-10m1
 title: '§9 Exercise 2: draw a coloured triangle'
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T19:54:52Z
-updated_at: 2026-03-13T19:54:52Z
+updated_at: 2026-03-16T02:30:28Z
 parent: edu-4u7w
 ---
 

edu/.beans/edu-1nox--17-signed-distance-fields-for-font-rendering.md

@@ -1,10 +1,11 @@
 ---
 # edu-1nox
 title: §17 Signed Distance Fields for font rendering
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T19:55:11Z
-updated_at: 2026-03-13T19:55:11Z
+updated_at: 2026-03-16T02:30:28Z
 parent: edu-4u7w
 ---
 

edu/.beans/edu-2ak3--3-what-is-wgsl-syntax-overview.md

@@ -1,10 +1,11 @@
 ---
 # edu-2ak3
 title: §3 What is WGSL? Syntax overview
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T19:54:41Z
-updated_at: 2026-03-13T19:54:41Z
+updated_at: 2026-03-16T02:30:27Z
 parent: edu-4u7w
 ---
 

edu/.beans/edu-2sqo--13-compute-pipelines-dispatching-work-groups.md

@@ -1,10 +1,11 @@
 ---
 # edu-2sqo
 title: '§13 Compute pipelines: dispatching work groups'
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T19:55:02Z
-updated_at: 2026-03-13T19:55:02Z
+updated_at: 2026-03-16T02:30:28Z
 parent: edu-4u7w
 ---
 

edu/.beans/edu-3l9h--7-vertices-buffers-and-the-vertex-shader.md

@@ -1,10 +1,11 @@
 ---
 # edu-3l9h
 title: §7 Vertices, buffers, and the vertex shader
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T19:54:49Z
-updated_at: 2026-03-13T19:54:49Z
+updated_at: 2026-03-16T02:30:28Z
 parent: edu-4u7w
 ---
 

edu/.beans/edu-453h--write-13-the-full-alphago-zero-training-loop.md

@@ -1,11 +0,0 @@
----
-# edu-453h
-title: 'Write §13: The full AlphaGo Zero training loop'
-status: todo
-type: task
-created_at: 2026-03-13T20:03:17Z
-updated_at: 2026-03-13T20:03:17Z
-parent: edu-coqp
----
-
-Reading lesson: generate → train → evaluate → promote. Discuss the ELO-based model selection step and why it matters.

edu/.beans/edu-4u7w--edu-write-chapter-on-shader-programming.md

@@ -1,11 +1,11 @@
 ---
 # edu-4u7w
 title: 'edu: write chapter on shader programming'
-status: in-progress
+status: completed
 type: feature
 priority: low
 created_at: 2026-03-10T23:30:00Z
-updated_at: 2026-03-13T19:54:32Z
+updated_at: 2026-03-16T02:32:28Z
 ---
 
 ## Background
@@ -50,3 +50,7 @@ A practical introduction to GPU shaders, written with Rust as the host language.
 
 - `edu/src/shaders.md`
 - Add to `edu/src/SUMMARY.md` under a `# Graphics` section
+
+## Summary of Changes
+
+All 18 sections written with full educational content covering the GPU execution model, wgpu setup, vertex/fragment shaders, textures, compute shaders, and advanced topics. ~4400 lines of content including full Rust+WGSL code examples, ASCII diagrams, and 5 hands-on exercises.

edu/.beans/edu-5g0l--1-cpu-vs-gpu-parallel-execution-model.md

@@ -1,10 +1,11 @@
 ---
 # edu-5g0l
 title: '§1 CPU vs GPU: parallel execution model'
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T19:54:37Z
-updated_at: 2026-03-13T19:54:37Z
+updated_at: 2026-03-16T02:30:27Z
 parent: edu-4u7w
 ---
 

edu/.beans/edu-6jjp--5-exercise-1-create-a-window-and-clear-it-to-a-col.md

@@ -1,10 +1,11 @@
 ---
 # edu-6jjp
 title: '§5 Exercise 1: create a window and clear it to a colour'
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T19:54:44Z
-updated_at: 2026-03-13T19:54:44Z
+updated_at: 2026-03-16T02:30:27Z
 parent: edu-4u7w
 ---
 

edu/.beans/edu-7lu6--write-12-exercise-4-replace-rollout-with-the-value.md

@@ -1,11 +0,0 @@
----
-# edu-7lu6
-title: 'Write §12: Exercise 4 — replace rollout with the value network'
-status: todo
-type: task
-created_at: 2026-03-13T20:03:17Z
-updated_at: 2026-03-13T20:03:17Z
-parent: edu-coqp
----
-
-Exercise: substitute random rollout in MCTS with a neural-network value estimate; compare strength before and after.

edu/.beans/edu-7m8d--18-resources-learn-wgpu-shadertoy-the-book-of-shad.md

@@ -1,10 +1,11 @@
 ---
 # edu-7m8d
 title: '§18 Resources: Learn WGPU, Shadertoy, The Book of Shaders'
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T19:55:12Z
-updated_at: 2026-03-13T19:55:12Z
+updated_at: 2026-03-16T02:30:28Z
 parent: edu-4u7w
 ---
 

edu/.beans/edu-9lda--16-post-processing-effects-bloom-blur-conceptual-o.md

@@ -1,10 +1,11 @@
 ---
 # edu-9lda
 title: '§16 Post-processing effects (bloom, blur): conceptual overview'
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T19:55:11Z
-updated_at: 2026-03-13T19:55:11Z
+updated_at: 2026-03-16T02:30:28Z
 parent: edu-4u7w
 ---
 

edu/.beans/edu-brtk--write-14-exercise-5-1000-self-play-games-observe-i.md

@@ -1,11 +0,0 @@
----
-# edu-brtk
-title: 'Write §14: Exercise 5 — 1000 self-play games; observe improvement'
-status: todo
-type: task
-created_at: 2026-03-13T20:03:17Z
-updated_at: 2026-03-13T20:03:17Z
-parent: edu-coqp
----
-
-Capstone exercise: run the full self-play loop for 1000 games; plot win-rate over iterations; discuss what worked and what didn't.

edu/.beans/edu-bycd--11-texture-coordinates-uvs-texture-creation-sample.md

@@ -1,10 +1,11 @@
 ---
 # edu-bycd
 title: §11 Texture coordinates (UVs), texture creation, sampler config
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T19:54:56Z
-updated_at: 2026-03-13T19:54:56Z
+updated_at: 2026-03-16T02:30:28Z
 parent: edu-4u7w
 ---
 

edu/.beans/edu-cr0w--10-exercise-3-animate-the-triangle-using-a-time-un.md

@@ -1,10 +1,11 @@
 ---
 # edu-cr0w
 title: '§10 Exercise 3: animate the triangle using a time uniform'
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T19:54:54Z
-updated_at: 2026-03-13T19:54:54Z
+updated_at: 2026-03-16T02:30:28Z
 parent: edu-4u7w
 ---
 

edu/.beans/edu-e39n--write-5-representing-game-state-in-rust.md

@@ -1,11 +0,0 @@
----
-# edu-e39n
-title: 'Write §5: Representing game state in Rust'
-status: todo
-type: task
-created_at: 2026-03-13T20:03:17Z
-updated_at: 2026-03-13T20:03:17Z
-parent: edu-coqp
----
-
-Reading lesson: design of Board, Player, Move types. Discuss representation trade-offs (bitboard vs array). Show the full type definitions.

edu/.beans/edu-exby--15-exercise-5-gpu-accelerate-a-particle-simulation.md

@@ -1,10 +1,11 @@
 ---
 # edu-exby
 title: '§15 Exercise 5: GPU-accelerate a particle simulation'
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T19:55:05Z
-updated_at: 2026-03-13T19:55:05Z
+updated_at: 2026-03-16T02:30:28Z
 parent: edu-4u7w
 ---
 

edu/.beans/edu-ga8p--8-interpolation-and-the-fragment-shader.md

@@ -1,10 +1,11 @@
 ---
 # edu-ga8p
 title: §8 Interpolation and the fragment shader
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T19:54:50Z
-updated_at: 2026-03-13T19:54:50Z
+updated_at: 2026-03-16T02:30:28Z
 parent: edu-4u7w
 ---
 

edu/.beans/edu-hrfy--6-the-render-loop-swap-chains-frames-command-encod.md

@@ -1,10 +1,11 @@
 ---
 # edu-hrfy
 title: '§6 The render loop: swap chains, frames, command encoders'
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T19:54:44Z
-updated_at: 2026-03-13T19:54:44Z
+updated_at: 2026-03-16T02:30:27Z
 parent: edu-4u7w
 ---
 

edu/.beans/edu-iv0k--write-9-neural-network-architecture-overview.md

@@ -1,11 +0,0 @@
----
-# edu-iv0k
-title: 'Write §9: Neural network architecture overview'
-status: todo
-type: task
-created_at: 2026-03-13T20:03:17Z
-updated_at: 2026-03-13T20:03:17Z
-parent: edu-coqp
----
-
-Conceptual lesson: shared convolutional trunk, policy head (move probabilities), value head (win probability). Diagrams encouraged. No code yet.

edu/.beans/edu-j35d--4-what-is-wgpu-cross-platform-graphics-api-in-rust.md

@@ -1,10 +1,11 @@
 ---
 # edu-j35d
 title: §4 What is wgpu? Cross-platform graphics API in Rust
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T19:54:43Z
-updated_at: 2026-03-13T19:54:43Z
+updated_at: 2026-03-16T02:30:27Z
 parent: edu-4u7w
 ---
 

edu/.beans/edu-k3tq--write-4-choosing-a-simple-game-tic-tac-toe.md

@@ -1,11 +0,0 @@
----
-# edu-k3tq
-title: 'Write §4: Choosing a simple game — Tic-Tac-Toe'
-status: todo
-type: task
-created_at: 2026-03-13T20:03:17Z
-updated_at: 2026-03-13T20:03:17Z
-parent: edu-coqp
----
-
-Explain why Tic-Tac-Toe is ideal: small state space, deterministic, zero-sum, easily verifiable. Foreshadow how the same approach scales to Go/Chess.

edu/.beans/edu-lqky--write-11-exercise-3-train-the-network-on-mcts-data.md

@@ -1,11 +0,0 @@
----
-# edu-lqky
-title: 'Write §11: Exercise 3 — train the network on MCTS data'
-status: todo
-type: task
-created_at: 2026-03-13T20:03:17Z
-updated_at: 2026-03-13T20:03:17Z
-parent: edu-coqp
----
-
-Exercise: generate training examples (state, policy vector, value) from pure MCTS self-play; run one training epoch; log loss.

edu/.beans/edu-pvou--write-10-integrating-a-neural-network-crate.md

@@ -1,11 +0,0 @@
----
-# edu-pvou
-title: 'Write §10: Integrating a neural network crate'
-status: todo
-type: task
-created_at: 2026-03-13T20:03:17Z
-updated_at: 2026-03-13T20:03:17Z
-parent: edu-coqp
----
-
-Reading lesson: evaluate tch-rs vs candle for this use case; show how to define and initialise the network; basic forward-pass usage.

edu/.beans/edu-r52d--2-the-programmable-pipeline-vertex-fragment-comput.md

@@ -1,10 +1,11 @@
 ---
 # edu-r52d
 title: '§2 The programmable pipeline: vertex, fragment, compute shaders'
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T19:54:39Z
-updated_at: 2026-03-13T19:54:39Z
+updated_at: 2026-03-16T02:30:27Z
 parent: edu-4u7w
 ---
 

edu/.beans/edu-u2w7--edu-write-chapter-on-creating-and-training-a-simpl.md

@@ -1,11 +1,11 @@
 ---
 # edu-u2w7
 title: 'edu: write chapter on creating and training a simple LLM'
-status: in-progress
+status: completed
 type: feature
 priority: low
 created_at: 2026-03-10T23:30:00Z
-updated_at: 2026-03-13T22:01:43Z
+updated_at: 2026-03-16T02:32:26Z
 ---
 
 ## Background
@@ -48,3 +48,7 @@ A practical course on building a small language model from scratch in Rust, cove
 
 - `edu/src/llm-from-scratch.md`
 - Add to `edu/src/SUMMARY.md` under the `# Machine Learning` section
+
+## Summary of Changes
+
+All 14 sections written with full educational content covering language modeling basics, the Transformer architecture, model assembly with candle, training, and reflection. ~1900 lines of content including code examples, ASCII diagrams, and exercises.

edu/.beans/edu-uxa1--14-storage-buffers-and-readwrite-access-from-wgsl.md

@@ -1,10 +1,11 @@
 ---
 # edu-uxa1
 title: §14 Storage buffers and read/write access from WGSL
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T19:55:04Z
-updated_at: 2026-03-13T19:55:04Z
+updated_at: 2026-03-16T02:30:28Z
 parent: edu-4u7w
 ---
 

edu/.beans/edu-wobk--write-1-what-is-reinforcement-learning.md

@@ -1,11 +0,0 @@
----
-# edu-wobk
-title: 'Write §1: What is reinforcement learning?'
-status: todo
-type: task
-created_at: 2026-03-13T20:03:17Z
-updated_at: 2026-03-13T20:03:17Z
-parent: edu-coqp
----
-
-Cover: state, action, reward, policy, value function. Intuitive explanation with a game-playing example. No code.

edu/.beans/edu-xv9j--12-exercise-4-render-a-textured-quad.md

@@ -1,10 +1,11 @@
 ---
 # edu-xv9j
 title: '§12 Exercise 4: render a textured quad'
-status: todo
+status: completed
 type: task
+priority: normal
 created_at: 2026-03-13T19:54:58Z
-updated_at: 2026-03-13T19:54:58Z
+updated_at: 2026-03-16T02:30:28Z
 parent: edu-4u7w
 ---