From 9305db43bdb88a71c1a1bf879e78a9e724a6ab73 Mon Sep 17 00:00:00 2001 From: Claude Date: Thu, 13 Aug 2026 01:40:04 +0000 Subject: [PATCH 1/2] fix: repair broken relative links (repo-wide link audit) A relative-link audit over all 58 markdown files (254 relative links checked) found 9 broken. This fixes the 5 that were path-depth / wrong-directory errors pointing at files that do exist elsewhere in the repo: - education/emerging-rule/{ai-education-reading-list, emerging-rule-presentation- scribe-lesson}.md linked `../lessons/cs-k12-...` but lessons/ is at the repo root, one level further up -> `../../lessons/cs-k12-...` (4 links). - lessons/cs-k12-...md linked `../research/emerging-rule-presentation-scribe- lesson.md`, but that file lives under education/emerging-rule/ -> corrected the path and the displayed code-span to match (1 link). The remaining 4 broken links point at content not present in the repo at all (no showcases/ directory; no research/emerging-rule-scribe-talkthrough.md) and are left untouched pending a decision on whether that content is added or the links removed. Co-Authored-By: Claude Opus 4.8 Claude-Session: https://claude.ai/code/session_01NLUdsdbBJM5FSejZAmTHwf --- education/emerging-rule/ai-education-reading-list.md | 4 ++-- .../emerging-rule/emerging-rule-presentation-scribe-lesson.md | 4 ++-- lessons/cs-k12-the-scribe-who-forgot-his-dreams.md | 2 +- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/education/emerging-rule/ai-education-reading-list.md b/education/emerging-rule/ai-education-reading-list.md index bb61375..17e002e 100644 --- a/education/emerging-rule/ai-education-reading-list.md +++ b/education/emerging-rule/ai-education-reading-list.md @@ -126,7 +126,7 @@ Listed as optional because it is newer and more checklist-shaped than the UNESCO 3. Department lead skims **#7–#9** — vocabulary and scope. 4. Family night: **#10**. -Hanz’s lesson [*The Scribe Who Forgot His Dreams*](../lessons/cs-k12-the-scribe-who-forgot-his-dreams.md) covers *how AI behaves* for students; this list covers *how adults stay adults* around it. +Hanz’s lesson [*The Scribe Who Forgot His Dreams*](../../lessons/cs-k12-the-scribe-who-forgot-his-dreams.md) covers *how AI behaves* for students; this list covers *how adults stay adults* around it. --- @@ -134,7 +134,7 @@ Hanz’s lesson [*The Scribe Who Forgot His Dreams*](../lessons/cs-k12-the-scrib **Real author:** [Sean Campbell](https://github.com/rudi193-cmd) — contributor to [Emerging-Rule/community](https://github.com/Emerging-Rule/community) (issue #4). -**Teaching background:** Master’s in Music Education; former drill instructor (ensemble leadership and classroom pacing under real constraints), and is trying to contribute classroom-facing materials to this repo (e.g. [*The Scribe Who Forgot His Dreams*](../lessons/cs-k12-the-scribe-who-forgot-his-dreams.md), co-developed with UTETY faculty). This reading list is written for working homeroom, elective, and department-lead teachers, not as abstract policy commentary. +**Teaching background:** Master’s in Music Education; former drill instructor (ensemble leadership and classroom pacing under real constraints), and is trying to contribute classroom-facing materials to this repo (e.g. [*The Scribe Who Forgot His Dreams*](../../lessons/cs-k12-the-scribe-who-forgot-his-dreams.md), co-developed with UTETY faculty). This reading list is written for working homeroom, elective, and department-lead teachers, not as abstract policy commentary. **AI background:** Sean has spent years designing human-directed AI workflows for education and agent systems — when to trust a model, when to verify, and how to keep the adult in the loop when the tool sounds confident. He architected the Willow local-first agent fleet (memory, tasks, knowledge graph) and the UTETY faculty layer used to draft and stress-test curriculum before human edit and publication. AI tools assisted research and formatting on this document; **source selection, editorial standards, and final wording are human-directed.** diff --git a/education/emerging-rule/emerging-rule-presentation-scribe-lesson.md b/education/emerging-rule/emerging-rule-presentation-scribe-lesson.md index 6ee384e..3a51312 100644 --- a/education/emerging-rule/emerging-rule-presentation-scribe-lesson.md +++ b/education/emerging-rule/emerging-rule-presentation-scribe-lesson.md @@ -12,7 +12,7 @@ A **read-aloud parable lesson** that teaches *how AI behaves* — warm, knowledgeable, **does not remember yesterday** — with **no devices required** for the core lesson. -**Title:** [*The Scribe Who Forgot His Dreams*](../lessons/cs-k12-the-scribe-who-forgot-his-dreams.md) +**Title:** [*The Scribe Who Forgot His Dreams*](../../lessons/cs-k12-the-scribe-who-forgot-his-dreams.md) **Closes:** [Issue #5 — CS / coding lesson](https://github.com/Emerging-Rule/community/issues/5) **Co-author voice:** Hanz Christain Anderthon, Professor of Computational Kindness (UTETY editorial persona + human direction) @@ -119,7 +119,7 @@ Full roadmap: `research/lesson-roadmap.md` The complete contributor-ready lesson (story + For Teachers + assessment + differentiation): -**[lessons/cs-k12-the-scribe-who-forgot-his-dreams.md](../lessons/cs-k12-the-scribe-who-forgot-his-dreams.md)** +**[lessons/cs-k12-the-scribe-who-forgot-his-dreams.md](../../lessons/cs-k12-the-scribe-who-forgot-his-dreams.md)** --- diff --git a/lessons/cs-k12-the-scribe-who-forgot-his-dreams.md b/lessons/cs-k12-the-scribe-who-forgot-his-dreams.md index 3571349..0cde25d 100644 --- a/lessons/cs-k12-the-scribe-who-forgot-his-dreams.md +++ b/lessons/cs-k12-the-scribe-who-forgot-his-dreams.md @@ -39,7 +39,7 @@ Students will understand — through story, not jargon — that many AI systems **Co-authorship:** Story developed by Sean Campbell with Hanz Christain Anderthon (Professor of Computational Kindness, UTETY). AI tools assisted drafting; **human direction and edit are authoritative.** -**Planning / presentation thread:** [`research/emerging-rule-scribe-talkthrough.md`](../research/emerging-rule-scribe-talkthrough.md) · [`research/emerging-rule-presentation-scribe-lesson.md`](../research/emerging-rule-presentation-scribe-lesson.md) +**Planning / presentation thread:** [`research/emerging-rule-scribe-talkthrough.md`](../research/emerging-rule-scribe-talkthrough.md) · [`education/emerging-rule/emerging-rule-presentation-scribe-lesson.md`](../education/emerging-rule/emerging-rule-presentation-scribe-lesson.md) --- From ea50d5bebd5675d578ef7bd42b01abcd990bc30d Mon Sep 17 00:00:00 2001 From: Claude Date: Thu, 13 Aug 2026 02:19:39 +0000 Subject: [PATCH 2/2] research/sociotechnical: fix a self-contradicting revenue figure MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit DRAFT.md:60 established OpenAI + Anthropic combined run-rate at ~$70B (consistent with the table above it: ~$24B + ~$47B), set ~$130B as the AI-attributed revenue the 2026 capex "wants to pencil out," then closed the paragraph with "Two labs, narrowly counted, already exceed $130 billion on paper." $70B does not exceed $130B — the punchline contradicted the paragraph's own figure. Rewrote the close to be honest to the ~$70B: the two labs are more than halfway to the $130B bar, from a standing start last year — which keeps the point (the "AI won't monetize" argument is dead; the gap is closing fast) without the false claim. Contained to the draft; the packet does not repeat these figures. Found by a draft-vs-packet consistency audit across the four research packages; the other three (vintage-mechanical, tabletop, postwar) were clean. Co-Authored-By: Claude Opus 4.8 Claude-Session: https://claude.ai/code/session_01NLUdsdbBJM5FSejZAmTHwf --- research/sociotechnical-ai-sovereignty/DRAFT.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/research/sociotechnical-ai-sovereignty/DRAFT.md b/research/sociotechnical-ai-sovereignty/DRAFT.md index 6dff826..d73a702 100644 --- a/research/sociotechnical-ai-sovereignty/DRAFT.md +++ b/research/sociotechnical-ai-sovereignty/DRAFT.md @@ -57,7 +57,7 @@ Early in 2025 the frontier labs looked like capital sinks with pretty slide deck | xAI | $12B | $50B | limited | | Perplexity | $0.6B | $9B | limited | -OpenAI and Anthropic alone claim something like $70 billion in combined run-rate — company-reported, annualized, still climbing — so the old argument that AI might never monetize is dead. So is the old argument about a simple revenue gap. Hyperscalers are guiding $650–700 billion in combined capex for 2026, roughly double the ~$300 billion Big Four total for 2025. Google alone moved its 2026 guide toward $180–190 billion. At a naive 5× multiple, that kind of spend wants ~$130 billion in AI-attributed revenue to pencil out, not the ~$51 billion implied by last year's guides. Two labs, narrowly counted, already exceed $130 billion on paper. +OpenAI and Anthropic alone claim something like $70 billion in combined run-rate — company-reported, annualized, still climbing — so the old argument that AI might never monetize is dead. So is the old argument about a simple revenue gap. Hyperscalers are guiding $650–700 billion in combined capex for 2026, roughly double the ~$300 billion Big Four total for 2025. Google alone moved its 2026 guide toward $180–190 billion. At a naive 5× multiple, that kind of spend wants ~$130 billion in AI-attributed revenue to pencil out, not the ~$51 billion implied by last year's guides. Two labs, narrowly counted, are already more than halfway there — roughly $70 billion between them, from a standing start last year. That doesn't mean there's no bubble. It means the stress moved. Valuations near a trillion dollars aren't pricing today's revenue. They're pricing a decade of compounded growth that has to survive margin compression, financing cycles, and the efficiency releases already landing in H1 2026. DeepSeek V4 shipped in April. API prices dropped faster than my earlier drafts assumed. Capex and valuation got there first, while efficiency eats premium margins even as the top line still grows.