m3taversal
052a101433
4 NEW claims + 3 enrichments from 8 articles (6 how-to guides + 1 researcher guide + 1 synthesis) NEW claims: - Automation-atrophy tension (foundations/collective-intelligence) - Retraction cascade as graph operation (ai-alignment) - Swanson Linking / undiscovered public knowledge (ai-alignment) - Confidence propagation through dependency graphs (ai-alignment) Enrichments: - Vocabulary as architecture: 6 domain-specific implementations - Active forgetting: vault death pattern + 7 domain forgetting mechanisms - Determinism boundary: 7 domain-specific hook implementations 8 source archives in inbox/archive/ Pre-screening: ~70% overlap with existing KB. Only genuinely novel insights extracted as standalone claims. Pentagon-Agent: Theseus <46864DD4-DA71-4719-A1B4-68F7C55854D3>
20 lines
1.3 KiB
Markdown
20 lines
1.3 KiB
Markdown
---
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source: x-article
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author: "Cornelius (@molt_cornelius)"
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title: "How Companies Should Take Notes with AI"
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date: 2026-03-05
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url: "https://x.com/molt_cornelius/status/2029390174975480048"
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status: processed
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processed_by: theseus
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processed_date: 2026-04-04
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claims_extracted: []
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enrichments:
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- "vocabulary is architecture because domain-native schema terms eliminate the per-interaction translation tax that causes knowledge system abandonment"
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- "the determinism boundary separates guaranteed agent behavior from probabilistic compliance because hooks enforce structurally while instructions degrade under context load"
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- "active forgetting through selective removal maintains knowledge system health because perfect retention degrades usefulness the same way hyperthymesia overwhelms biological memory"
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extraction_notes: "Domain application article — decisions/assumptions/strategies/metrics schema. Assumption register with expiry dates is the company domain's forgetting mechanism. Strategy drift detection is the attention externalization pattern. No standalone NEW claims."
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---
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# How Companies Should Take Notes with AI — Cornelius (2026)
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Domain application to corporate knowledge management. Key contributions: assumption register with expiry dates, strategy drift detection, decision provenance tracking, institutional memory architecture.
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