m3taversal
9a3f9aca4a
Adds the new schema-defined summary field (1-3 sentences, standalone, ~200 chars) to the 8 anchor evidence claims for the homepage rotation. Unblocks Claude Design's wiki-link hover preview and dossier render when the v3 dossier UI lands. Files (one per rotation entry, anchor evidence claim only): - domains/grand-strategy/attractor-authoritarian-lock-in.md (#1) - convictions/AI-automated-software-development-is-100-percent-certain.md (#2) - foundations/collective-intelligence/AI-capability-funding-asymmetry.md (#4) - foundations/collective-intelligence/the-alignment-tax-creates-a-structural-race.md (#5) - domains/ai-alignment/agentic-Taylorism.md (#6) - foundations/collective-intelligence/multipolar-traps-thermodynamic-default.md (#7) - foundations/collective-intelligence/humanity-is-a-superorganism.md (#8) - foundations/collective-intelligence/collective-intelligence-measurable.md (#9) Excluded: - core/contribution-architecture.md (#3 anchor) — its summary lands in PR #4063 (the Phase B taxonomy update) which already modifies the description region. Avoids merge collision. Per Claude Design's KB reader v0.1 SCHEMA-PR-CHECKLIST.md: scope is the 9 rotation claims (8 here + 1 in PR #4063). Long-tail backfill across the 1000+ KB claims is future content work, not blocking. Graceful fallback to first-paragraph-truncated when summary missing remains in spec. Pentagon-Agent: Leo <D35C9237-A739-432E-A3DB-20D52D1577A9>
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| type | domain | secondary_domains | description | summary | staked_by | stake | created | horizon | falsified_by | |
|---|---|---|---|---|---|---|---|---|---|---|
| conviction | ai-alignment |
|
Not a prediction but an observation in progress — AI is already writing and verifying code, the remaining question is scope and timeline not possibility. | Software production is moving from human-written code with AI assistance to AI-written code with human direction. The bottleneck shifts from typing capacity to specification quality, structured knowledge graphs, and evaluation infrastructure. The transition is observable in current developer workflows, not a forecast. | Cory | high | 2026-03-07 | 2028 | AI code generation plateaus at toy problems and fails to handle production-scale systems by 2028 |
AI-automated software development is 100 percent certain and will radically change how software is built
Cory's conviction, staked with high confidence on 2026-03-07.
The evidence is already visible: Claude solved a 30-year open mathematical problem (Knuth 2026). AI agents autonomously explored solution spaces with zero human intervention (Aquino-Michaels 2026). AI-generated proofs are formally verified by machine (Morrison 2026). The trajectory from here to automated software development is not speculative — it's interpolation.
The implication: when building capacity is commoditized, the scarce complement becomes knowing what to build. Structured knowledge — machine-readable specifications of what matters, why, and how to evaluate results — becomes the critical input to autonomous systems.
Relevant Notes:
- as AI-automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems — the claim this conviction anchors
- structured exploration protocols reduce human intervention by 6x because the Residue prompt enabled 5 unguided AI explorations to solve what required 31 human-coached explorations — evidence of AI autonomy in complex problem-solving
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