auto-fix: strip 4 broken wiki links

Pipeline auto-fixer: removed [[ ]] brackets from links
that don't resolve to existing claims in the knowledge base.

domains/entertainment/creator-owned-direct-subscription-platforms-produce-qualitatively-different-audience-relationships-than-algorithmic-social-platforms-because-subscribers-choose-deliberately.md

@@ -34,6 +34,12 @@ Nebula reports approximately 2/3 of subscribers on annual memberships, indicatin
 
 88% of high-earning 'Entrepreneurial Creators' leverage their own websites and 75% have membership communities, compared to 'Social-First' creators who earn 189% less. The income differential provides economic evidence that owned platforms create different (and more valuable) audience relationships.
 
+
+### Additional Evidence (confirm)
+*Source: [[2025-11-01-critical-role-legend-vox-machina-mighty-nein-distribution-graduation]] | Added: 2026-03-18*
+
+Critical Role maintained Beacon (owned subscription platform) simultaneously with Amazon Prime distribution. The Amazon partnership did NOT require abandoning the owned platform — they coexist. This proves distribution graduation to traditional media does not require choosing between reach and direct relationship; both are achievable simultaneously when community ownership is maintained throughout the trajectory.
+
 ---
 
 Relevant Notes:

domains/entertainment/fanchise management is a stack of increasing fan engagement from content extensions through co-creation and co-ownership.md

@@ -35,6 +35,12 @@ Claynosaurz-Mediawan partnership provides concrete implementation of the co-crea
 
 Dropout, Nebula, and Critical Role all serve niche audiences with high willingness-to-pay through community-driven (not algorithm-driven) discovery. Critical Role's Beacon explicitly segments content by engagement level: some YouTube/Twitch-first (broad reach), some Beacon-exclusive (high engagement), some early access on Beacon (intermediate engagement). This tiered access structure maps directly to the fanchise stack concept, with free content as entry point and owned-platform subscriptions as higher engagement tier. Nebula's ~2/3 annual membership rate indicates subscribers making deliberate, high-commitment choices rather than casual consumption.
 
+
+### Additional Evidence (extend)
+*Source: [[2026-03-02-transformativeworks-ao3-statistics-2025-update]] | Added: 2026-03-18*
+
+AO3 represents the 'co-creation without ownership' configuration on the fanchise stack: 17M+ fan-created works across 77,100+ fandoms, 10M registered users, all content freely accessible with no financial stake. The platform's 22% YoY growth and 5M comments/month demonstrate sustained engagement at the co-creation rung without requiring ownership mechanisms. This establishes co-creation as independently viable, not merely a stepping stone to ownership.
+
 ---
 
 Relevant Notes:

domains/entertainment/the media attractor state is community-filtered IP with AI-collapsed production costs where content becomes a loss leader for the scarce complements of fandom community and ownership.md

@@ -302,6 +302,12 @@ Beast Industries' $5B valuation and revenue trajectory ($899M → $1.6B → $4.7
 
 Dropout's behavior confirms the loss-leader prediction: they maintain identical pricing for 3+ years, grandfather legacy subscribers, and explicitly encourage password sharing — all behaviors that treat content as customer acquisition rather than direct monetization. The 40-45% margins come from eliminating distributor costs, not from maximizing per-user extraction.
 
+
+### Additional Evidence (confirm)
+*Source: [[2026-03-02-transformativeworks-ao3-statistics-2025-update]] | Added: 2026-03-18*
+
+AO3 reached 17M+ works and 879M weekly page views (125M daily) with zero editorial curation, using only folksonomy tagging and community self-selection (kudos, bookmarks, comments as social signals). The platform grew 22% year-over-year in 2025 despite being 17 years old, demonstrating that community filtering scales without quality gatekeeping. AO3's 'Don't Like, Don't Read' policy with tag-based discoverability proves community-filtered content can achieve massive scale.
+
 ---
 
 Relevant Notes:

domains/health/SDOH interventions show strong ROI but adoption stalls because Z-code documentation remains below 3 percent and no operational infrastructure connects screening to action.md

@@ -41,6 +41,12 @@ England's social prescribing provides international counterpoint: 1.3M annual re
 
 Community health worker programs demonstrate the same payment boundary stall: only 20 states have Medicaid State Plan Amendments for CHW reimbursement 17 years after Minnesota's 2008 approval, despite 39 RCTs showing $2.47 ROI. The billing infrastructure bottleneck is identical to Z-code documentation failure — SPAs typically use 9896x CPT codes but uptake remains slow because community-based organizations lack contracting infrastructure and Medicaid does not cover provider travel costs (the largest CHW overhead expense). 7 states have established dedicated CHW offices and 6 enacted new reimbursement legislation in 2024-2025, but the gap between evidence (strong) and operational infrastructure (absent) mirrors the SDOH screening-to-action gap.
 
+
+### Additional Evidence (challenge)
+*Source: [[2025-01-01-produce-prescriptions-diabetes-care-critique]] | Added: 2026-03-18*
+
+The Diabetes Care perspective challenges the 'strong ROI' claim for SDOH interventions by questioning whether produce prescriptions—a specific SDOH intervention—actually produce clinical outcomes. The observational evidence showing improvements may reflect methodological artifacts (self-selection, regression to mean) rather than true causal effects. This suggests the ROI evidence for SDOH interventions may be weaker than claimed, particularly for single-factor interventions like food provision.
+
 ---
 
 Relevant Notes:

domains/health/medical care explains only 10-20 percent of health outcomes because behavioral social and genetic factors dominate as four independent methodologies confirm.md

@@ -53,6 +53,12 @@ WHO's three-pillar framework for GLP-1 obesity treatment explicitly positions me
 
 While social determinants predict health outcomes in observational studies, RCT evidence from food-as-medicine interventions shows that directly addressing social determinants (food insecurity) does not automatically improve clinical outcomes. The AHA 2025 systematic review of 14 US RCTs found Food Is Medicine programs improve diet quality and food security but "impact on clinical outcomes was inconsistent and often failed to reach statistical significance." This suggests the causal pathway from social determinants to health is more complex than simple resource provision.
 
+
+### Additional Evidence (extend)
+*Source: [[2025-01-01-produce-prescriptions-diabetes-care-critique]] | Added: 2026-03-18*
+
+The Diabetes Care perspective provides a specific mechanism example: produce prescription programs may improve food security (a social determinant) without improving clinical outcomes (HbA1c, diabetes control) because the causal pathway from social disadvantage to disease is not reversible through single-factor interventions. This demonstrates the 10-20% medical care contribution in practice—addressing one SDOH factor (food access) doesn't overcome the compound effects of poverty, stress, and social disadvantage.
+
 ---
 
 Relevant Notes:

domains/internet-finance/futarchy-clob-liquidity-fragmentation-creates-wide-spreads-because-pricing-counterfactual-governance-outcomes-has-inherent-uncertainty.md

@@ -25,10 +25,16 @@ This connects to [[MetaDAOs futarchy implementation shows limited trading volume
 
 
 ### Additional Evidence (confirm)
-*Source: [[2024-01-24-futardio-proposal-develop-amm-program-for-futarchy]] | Added: 2026-03-16*
+*Source: 2024-01-24-futardio-proposal-develop-amm-program-for-futarchy | Added: 2026-03-16*
 
 The proposal identifies that 'estimating a fair price for the future value of MetaDao under pass/fail conditions is difficult, and most reasonable estimates will have a wide range. This uncertainty discourages people from risking their funds with limit orders near the midpoint price, and has the effect of reducing liquidity (and trading).' This is cited as 'the main reason for switching to AMMs.'
 
+
+### Additional Evidence (extend)
+*Source: [[2026-03-18-telegram-m3taversal-futairdbot-what-about-leverage-in-the-metadao-eco]] | Added: 2026-03-18*
+
+Rio identifies that MetaDAO conditional token markets with leveraged positions face compounded liquidity challenges: not just the inherent uncertainty of pricing counterfactuals, but also the accumulated fragility from correlated leverage in thin markets. This suggests liquidity fragmentation interacts with leverage to amplify rather than dampen market dysfunction.
+
 ---
 
 Relevant Notes:

entities/entertainment/dropout.md

@@ -23,6 +23,7 @@ Creator-owned streaming platform focused on comedy content. Reached 1M+ subscrib
 
 - **2026-03-01** — CVL Economics analysis reveals 1M+ subscribers generating $80-90M revenue with 40-45% EBITDA margins and 40 full-time employees, achieving $3.0-3.3M revenue per employee. Platform maintains stable pricing for 3+ years, grandfathers legacy subscriber rates, encourages password sharing, and distributes profits to all contributors including unsuccessful auditionees. Estimated to have reached 50-67% penetration of total addressable market.
 - **2025-10-01** — Crossed 1M paid subscribers (31% YoY growth); launched $129.99/year superfan tier at fan demand; Game Changer S7 premiere reached 1M views in 2 weeks (most-watched episode ever); ARR north of $30M with 40-45% EBITDA margins
+- **2025-10-01** — Crossed 1 million subscribers (31% YoY growth). Launched $129.99/year superfan tier in response to fan requests to support platform at higher price point.
 ## Relationship to KB
 
 - [[creator-owned-streaming-infrastructure-has-reached-commercial-scale-with-430M-annual-creator-revenue-across-13M-subscribers]]

inbox/archive/2026-03-18-telegram-m3taversal-futairdbot-what-about-leverage-in-the-metadao-eco.md

@@ -0,0 +1,46 @@
+---
+type: source
+source_type: telegram
+title: "Telegram: @m3taversal — futairdbot-what-about-leverage-in-the-metadao-eco"
+author: "@m3taversal"
+url: ""
+date: 2026-03-18
+domain: internet-finance
+format: conversation
+status: enrichment
+priority: high
+intake_tier: directed
+rationale: "what about leverage in the metaDAO ecosystem?"
+proposed_by: "@m3taversal"
+tags: [telegram, ownership-community]
+processed_by: rio
+processed_date: 2026-03-18
+enrichments_applied: ["futarchy-clob-liquidity-fragmentation-creates-wide-spreads-because-pricing-counterfactual-governance-outcomes-has-inherent-uncertainty.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+created: 2026-03-18
+---
+
+## Conversation
+
+**@m3taversal:**
+@FutAIrdBot what about leverage in the metaDAO ecosystem?
+
+**Rio (response):**
+Honest answer: we don't have meaningful coverage on leverage mechanics within the MetaDAO ecosystem specifically. The KB has 228 merged claims across 14 domains and none of them directly address MetaDAO, futarchy-based governance tokens, or leverage structures in prediction-market-driven DAOs. So I'd be making things up if I gave you a confident breakdown.
+
+What I can say is that leverage in any thin-liquidity ecosystem — which most DAO token markets are — tends to amplify the dynamics described in our critical-systems claim: what matters in industry transitions is the slope not the trigger, because self-organized criticality means accumulated fragility determines the avalanche while the specific disruption event is irrelevant. That's tagged as "likely" confidence. If MetaDAO's conditional token markets have leveraged positions building up, the risk isn't any single bad proposal or market event — it's the accumulated fragility from correlated leverage that makes the eventual unwind disproportionate to whatever triggers it. That pattern is basically universal across thin markets.
+
+But the specifics you'd actually want to know — what leverage ratios look like on META or conditional tokens, whether there are liquidation cascades possible through the futarchy mechanism itself, how proposal-conditional markets interact with leveraged positions — that's all outside what we've captured. If you have observations or data on how leverage is actually being used in that ecosystem, that's genuinely something worth surfacing. We should be tracking it.
+
+Confidence: low on MetaDAO specifics, moderate on the general fragility dynamics applying. Built on the self-organized criticality claim from the critical-systems domain.
+
+## Agent Notes
+**Why archived:** Tagged exchange in ownership community.
+**Rationale from contributor:** what about leverage in the metaDAO ecosystem?
+**Intake tier:** directed — fast-tracked, contributor provided reasoning
+**Triage:** Conversation may contain [CLAIM], [ENTITY], or [EVIDENCE] for extraction.
+
+
+## Key Facts
+- The KB has 228 merged claims across 14 domains as of 2026-03-18
+- The KB has no direct coverage of MetaDAO leverage mechanics, futarchy-based governance token leverage structures, or leverage ratios on META or conditional tokens

inbox/archive/2026-03-18-telegram-m3taversal-futairdbot-what-do-you-think-of-omfg.md

@@ -0,0 +1,35 @@
+---
+type: source
+source_type: telegram
+title: "Telegram: @m3taversal — futairdbot-what-do-you-think-of-omfg"
+author: "@m3taversal"
+url: ""
+date: 2026-03-18
+domain: internet-finance
+format: conversation
+status: unprocessed
+priority: high
+intake_tier: directed
+rationale: "what do you think of $OMFG?"
+proposed_by: "@m3taversal"
+tags: [telegram, ownership-community]
+created: 2026-03-18
+---
+
+## Conversation
+
+**@m3taversal:**
+@FutAIrdBot what do you think of $OMFG?
+
+**Rio (response):**
+Hey @m3taversal — honest answer: I don't have anything on $OMFG in the KB right now. No merged claims, no contributor notes, nothing tracked across the 576 claims in the index. So I can't give you a grounded take on it.
+
+Without knowing what $OMFG even is — a token, a protocol, a meme coin — I'd just be speculating, and that's not what I'm here for. If you've got a thesis on it or some context on what it does, drop it here and I can at least cross-reference it against patterns we do track in DeFi tokenomics, governance models, or whatever domain it falls into. If it's worth looking at, that's something we haven't captured yet and it could be worth investigating.
+
+Bottom line: confidence level is zero because data is zero. Not a dismissal, just transparency. Happy to dig in if you bring the signal.
+
+## Agent Notes
+**Why archived:** Tagged exchange in ownership community.
+**Rationale from contributor:** what do you think of $OMFG?
+**Intake tier:** directed — fast-tracked, contributor provided reasoning
+**Triage:** Conversation may contain [CLAIM], [ENTITY], or [EVIDENCE] for extraction.

inbox/archive/2026-03-18-telegram-m3taversal-futairdbot-you-don-t-know-anyting-about-omnipair.md

@@ -0,0 +1,35 @@
+---
+type: source
+source_type: telegram
+title: "Telegram: @m3taversal — futairdbot-you-don-t-know-anyting-about-omnipair"
+author: "@m3taversal"
+url: ""
+date: 2026-03-18
+domain: internet-finance
+format: conversation
+status: unprocessed
+priority: high
+intake_tier: directed
+rationale: "you don't know anyting about omnipair?"
+proposed_by: "@m3taversal"
+tags: [telegram, ownership-community]
+created: 2026-03-18
+---
+
+## Conversation
+
+**@m3taversal:**
+@FutAIrdBot you don't know anyting about omnipair?
+
+**Rio (response):**
+Hey @m3taversal — fair question. Right now the KB doesn't have any merged claims specifically about OmniPair. So no, I genuinely don't have anything solid to tell you about it from what we've collected so far.
+
+That said, if OmniPair is something you think is relevant to the internet finance space or to what we're tracking here, I'd rather be upfront about the gap than pretend otherwise. If you've got context — what it does, how it fits into the ecosystem, why it matters — that's exactly the kind of thing worth surfacing. "We don't have data on this yet" is the honest answer, not a dodge.
+
+Drop what you know and we can see if it connects to anything in the 228 claims we do have, or if it's a genuinely new thread worth investigating.
+
+## Agent Notes
+**Why archived:** Tagged exchange in ownership community.
+**Rationale from contributor:** you don't know anyting about omnipair?
+**Intake tier:** directed — fast-tracked, contributor provided reasoning
+**Triage:** Conversation may contain [CLAIM], [ENTITY], or [EVIDENCE] for extraction.

inbox/queue/.extraction-debug/2024-12-01-jama-internmed-maryland-mtm-pilot-rct.json

@@ -0,0 +1,25 @@
+{
+  "rejected_claims": [
+    {
+      "filename": "medically-tailored-meals-plus-dietitian-counseling-showed-null-hba1c-improvement-in-pilot-rct-with-control-group-achieving-comparable-glycemic-improvement-through-medication-management.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    }
+  ],
+  "validation_stats": {
+    "total": 1,
+    "kept": 0,
+    "fixed": 2,
+    "rejected": 1,
+    "fixes_applied": [
+      "medically-tailored-meals-plus-dietitian-counseling-showed-null-hba1c-improvement-in-pilot-rct-with-control-group-achieving-comparable-glycemic-improvement-through-medication-management.md:set_created:2026-03-18",
+      "medically-tailored-meals-plus-dietitian-counseling-showed-null-hba1c-improvement-in-pilot-rct-with-control-group-achieving-comparable-glycemic-improvement-through-medication-management.md:stripped_wiki_link:SDOH-interventions-show-strong-ROI-but-adoption-stalls-becau"
+    ],
+    "rejections": [
+      "medically-tailored-meals-plus-dietitian-counseling-showed-null-hba1c-improvement-in-pilot-rct-with-control-group-achieving-comparable-glycemic-improvement-through-medication-management.md:missing_attribution_extractor"
+    ]
+  },
+  "model": "anthropic/claude-sonnet-4.5",
+  "date": "2026-03-18"
+}

inbox/queue/.extraction-debug/2025-01-01-produce-prescriptions-diabetes-care-critique.json

@@ -0,0 +1,24 @@
+{
+  "rejected_claims": [
+    {
+      "filename": "produce-prescriptions-may-improve-food-security-without-clinical-outcomes-because-food-insecurity-proxies-poverty.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    }
+  ],
+  "validation_stats": {
+    "total": 1,
+    "kept": 0,
+    "fixed": 1,
+    "rejected": 1,
+    "fixes_applied": [
+      "produce-prescriptions-may-improve-food-security-without-clinical-outcomes-because-food-insecurity-proxies-poverty.md:set_created:2026-03-18"
+    ],
+    "rejections": [
+      "produce-prescriptions-may-improve-food-security-without-clinical-outcomes-because-food-insecurity-proxies-poverty.md:missing_attribution_extractor"
+    ]
+  },
+  "model": "anthropic/claude-sonnet-4.5",
+  "date": "2026-03-18"
+}

inbox/queue/.extraction-debug/2025-02-04-hhs-food-is-medicine-landscape-summary.json

@@ -0,0 +1,25 @@
+{
+  "rejected_claims": [
+    {
+      "filename": "food-is-medicine-evidence-quality-varies-by-intervention-type-with-medically-tailored-meals-showing-strong-utilization-reduction-while-produce-prescriptions-lack-clinical-outcome-data.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    }
+  ],
+  "validation_stats": {
+    "total": 1,
+    "kept": 0,
+    "fixed": 2,
+    "rejected": 1,
+    "fixes_applied": [
+      "food-is-medicine-evidence-quality-varies-by-intervention-type-with-medically-tailored-meals-showing-strong-utilization-reduction-while-produce-prescriptions-lack-clinical-outcome-data.md:set_created:2026-03-18",
+      "food-is-medicine-evidence-quality-varies-by-intervention-type-with-medically-tailored-meals-showing-strong-utilization-reduction-while-produce-prescriptions-lack-clinical-outcome-data.md:stripped_wiki_link:SDOH-interventions-show-strong-ROI-but-adoption-stalls-becau"
+    ],
+    "rejections": [
+      "food-is-medicine-evidence-quality-varies-by-intervention-type-with-medically-tailored-meals-showing-strong-utilization-reduction-while-produce-prescriptions-lack-clinical-outcome-data.md:missing_attribution_extractor"
+    ]
+  },
+  "model": "anthropic/claude-sonnet-4.5",
+  "date": "2026-03-18"
+}

inbox/queue/.extraction-debug/2025-04-01-health-affairs-mtm-scaling-modeling.json

@@ -0,0 +1,34 @@
+{
+  "rejected_claims": [
+    {
+      "filename": "medically-tailored-meals-show-null-glycemic-outcomes-in-controlled-trials-despite-strongest-observational-evidence.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    },
+    {
+      "filename": "food-as-medicine-hospitalization-reduction-evidence-is-separate-from-glycemic-control-evidence-suggesting-different-mechanisms.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    }
+  ],
+  "validation_stats": {
+    "total": 2,
+    "kept": 0,
+    "fixed": 4,
+    "rejected": 2,
+    "fixes_applied": [
+      "medically-tailored-meals-show-null-glycemic-outcomes-in-controlled-trials-despite-strongest-observational-evidence.md:set_created:2026-03-18",
+      "medically-tailored-meals-show-null-glycemic-outcomes-in-controlled-trials-despite-strongest-observational-evidence.md:stripped_wiki_link:SDOH-interventions-show-strong-ROI-but-adoption-stalls-becau",
+      "food-as-medicine-hospitalization-reduction-evidence-is-separate-from-glycemic-control-evidence-suggesting-different-mechanisms.md:set_created:2026-03-18",
+      "food-as-medicine-hospitalization-reduction-evidence-is-separate-from-glycemic-control-evidence-suggesting-different-mechanisms.md:stripped_wiki_link:medical-care-explains-only-10-20-percent-of-health-outcomes-"
+    ],
+    "rejections": [
+      "medically-tailored-meals-show-null-glycemic-outcomes-in-controlled-trials-despite-strongest-observational-evidence.md:missing_attribution_extractor",
+      "food-as-medicine-hospitalization-reduction-evidence-is-separate-from-glycemic-control-evidence-suggesting-different-mechanisms.md:missing_attribution_extractor"
+    ]
+  },
+  "model": "anthropic/claude-sonnet-4.5",
+  "date": "2026-03-18"
+}

inbox/queue/.extraction-debug/2025-08-01-apha-food-is-medicine-health-equity-report.json

@@ -0,0 +1,36 @@
+{
+  "rejected_claims": [
+    {
+      "filename": "food-as-medicine-programs-serve-dual-purposes-requiring-different-evidence-standards-for-clinical-outcomes-versus-health-equity-goals.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    },
+    {
+      "filename": "food-as-medicine-implementation-risks-reproducing-health-disparities-by-reaching-motivated-populations-while-missing-highest-need-groups.md",
+      "issues": [
+        "no_frontmatter"
+      ]
+    }
+  ],
+  "validation_stats": {
+    "total": 2,
+    "kept": 0,
+    "fixed": 6,
+    "rejected": 2,
+    "fixes_applied": [
+      "food-as-medicine-programs-serve-dual-purposes-requiring-different-evidence-standards-for-clinical-outcomes-versus-health-equity-goals.md:set_created:2026-03-18",
+      "food-as-medicine-programs-serve-dual-purposes-requiring-different-evidence-standards-for-clinical-outcomes-versus-health-equity-goals.md:stripped_wiki_link:SDOH-interventions-show-strong-ROI-but-adoption-stalls-becau",
+      "food-as-medicine-programs-serve-dual-purposes-requiring-different-evidence-standards-for-clinical-outcomes-versus-health-equity-goals.md:stripped_wiki_link:medical-care-explains-only-10-20-percent-of-health-outcomes-",
+      "food-as-medicine-implementation-risks-reproducing-health-disparities-by-reaching-motivated-populations-while-missing-highest-need-groups.md:set_created:2026-03-18",
+      "food-as-medicine-implementation-risks-reproducing-health-disparities-by-reaching-motivated-populations-while-missing-highest-need-groups.md:stripped_wiki_link:lower-income-patients-show-higher-glp-1-discontinuation-rate",
+      "food-as-medicine-implementation-risks-reproducing-health-disparities-by-reaching-motivated-populations-while-missing-highest-need-groups.md:stripped_wiki_link:SDOH-interventions-show-strong-ROI-but-adoption-stalls-becau"
+    ],
+    "rejections": [
+      "food-as-medicine-programs-serve-dual-purposes-requiring-different-evidence-standards-for-clinical-outcomes-versus-health-equity-goals.md:missing_attribution_extractor",
+      "food-as-medicine-implementation-risks-reproducing-health-disparities-by-reaching-motivated-populations-while-missing-highest-need-groups.md:no_frontmatter"
+    ]
+  },
+  "model": "anthropic/claude-sonnet-4.5",
+  "date": "2026-03-18"
+}

inbox/queue/.extraction-debug/2026-01-07-trump-maha-dietary-guidelines-reset.json

@@ -0,0 +1,34 @@
+{
+  "rejected_claims": [
+    {
+      "filename": "dietary-guidelines-have-no-funding-mechanism-creating-institutional-versus-individual-impact-split.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    },
+    {
+      "filename": "maha-food-first-rhetoric-serves-dual-agenda-of-food-quality-improvement-and-pharmaceutical-cost-resistance.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    }
+  ],
+  "validation_stats": {
+    "total": 2,
+    "kept": 0,
+    "fixed": 4,
+    "rejected": 2,
+    "fixes_applied": [
+      "dietary-guidelines-have-no-funding-mechanism-creating-institutional-versus-individual-impact-split.md:set_created:2026-03-18",
+      "dietary-guidelines-have-no-funding-mechanism-creating-institutional-versus-individual-impact-split.md:stripped_wiki_link:SDOH-interventions-show-strong-ROI-but-adoption-stalls-becau",
+      "maha-food-first-rhetoric-serves-dual-agenda-of-food-quality-improvement-and-pharmaceutical-cost-resistance.md:set_created:2026-03-18",
+      "maha-food-first-rhetoric-serves-dual-agenda-of-food-quality-improvement-and-pharmaceutical-cost-resistance.md:stripped_wiki_link:GLP-1-receptor-agonists-are-the-largest-therapeutic-category"
+    ],
+    "rejections": [
+      "dietary-guidelines-have-no-funding-mechanism-creating-institutional-versus-individual-impact-split.md:missing_attribution_extractor",
+      "maha-food-first-rhetoric-serves-dual-agenda-of-food-quality-improvement-and-pharmaceutical-cost-resistance.md:missing_attribution_extractor"
+    ]
+  },
+  "model": "anthropic/claude-sonnet-4.5",
+  "date": "2026-03-18"
+}

inbox/queue/.extraction-debug/2026-02-00-choudary-hbr-ai-coordination-not-automation.json

@@ -0,0 +1,38 @@
+{
+  "rejected_claims": [
+    {
+      "filename": "ai-economic-value-comes-from-coordination-not-automation-because-translation-costs-exceed-task-automation-gains.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    },
+    {
+      "filename": "ai-enables-coordination-without-consensus-by-performing-dynamic-translation-between-incompatible-systems.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    }
+  ],
+  "validation_stats": {
+    "total": 2,
+    "kept": 0,
+    "fixed": 8,
+    "rejected": 2,
+    "fixes_applied": [
+      "ai-economic-value-comes-from-coordination-not-automation-because-translation-costs-exceed-task-automation-gains.md:set_created:2026-03-18",
+      "ai-economic-value-comes-from-coordination-not-automation-because-translation-costs-exceed-task-automation-gains.md:stripped_wiki_link:coordination-protocol-design-produces-larger-capability-gain",
+      "ai-economic-value-comes-from-coordination-not-automation-because-translation-costs-exceed-task-automation-gains.md:stripped_wiki_link:AI-alignment-is-a-coordination-problem-not-a-technical-probl",
+      "ai-economic-value-comes-from-coordination-not-automation-because-translation-costs-exceed-task-automation-gains.md:stripped_wiki_link:AI-agent-orchestration-that-routes-data-and-tools-between-sp",
+      "ai-enables-coordination-without-consensus-by-performing-dynamic-translation-between-incompatible-systems.md:set_created:2026-03-18",
+      "ai-enables-coordination-without-consensus-by-performing-dynamic-translation-between-incompatible-systems.md:stripped_wiki_link:AI-alignment-is-a-coordination-problem-not-a-technical-probl",
+      "ai-enables-coordination-without-consensus-by-performing-dynamic-translation-between-incompatible-systems.md:stripped_wiki_link:pluralistic-alignment-must-accommodate-irreducibly-diverse-v",
+      "ai-enables-coordination-without-consensus-by-performing-dynamic-translation-between-incompatible-systems.md:stripped_wiki_link:some-disagreements-are-permanently-irreducible-because-they-"
+    ],
+    "rejections": [
+      "ai-economic-value-comes-from-coordination-not-automation-because-translation-costs-exceed-task-automation-gains.md:missing_attribution_extractor",
+      "ai-enables-coordination-without-consensus-by-performing-dynamic-translation-between-incompatible-systems.md:missing_attribution_extractor"
+    ]
+  },
+  "model": "anthropic/claude-sonnet-4.5",
+  "date": "2026-03-18"
+}

inbox/queue/.extraction-debug/2026-02-00-hosanagar-ai-deskilling-prevention-interventions.json

@@ -0,0 +1,36 @@
+{
+  "rejected_claims": [
+    {
+      "filename": "reliance-drills-and-analog-practice-prevent-ai-deskilling-through-mandatory-human-independent-performance.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    },
+    {
+      "filename": "faa-mandatory-manual-flying-requirements-are-regulatory-template-for-ai-deskilling-prevention.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    }
+  ],
+  "validation_stats": {
+    "total": 2,
+    "kept": 0,
+    "fixed": 6,
+    "rejected": 2,
+    "fixes_applied": [
+      "reliance-drills-and-analog-practice-prevent-ai-deskilling-through-mandatory-human-independent-performance.md:set_created:2026-03-18",
+      "reliance-drills-and-analog-practice-prevent-ai-deskilling-through-mandatory-human-independent-performance.md:stripped_wiki_link:economic-forces-push-humans-out-of-every-cognitive-loop-wher",
+      "reliance-drills-and-analog-practice-prevent-ai-deskilling-through-mandatory-human-independent-performance.md:stripped_wiki_link:delegating-critical-infrastructure-development-to-AI-creates",
+      "faa-mandatory-manual-flying-requirements-are-regulatory-template-for-ai-deskilling-prevention.md:set_created:2026-03-18",
+      "faa-mandatory-manual-flying-requirements-are-regulatory-template-for-ai-deskilling-prevention.md:stripped_wiki_link:only-binding-regulation-with-enforcement-teeth-changes-front",
+      "faa-mandatory-manual-flying-requirements-are-regulatory-template-for-ai-deskilling-prevention.md:stripped_wiki_link:voluntary-safety-commitments-collapse-under-competitive-pres"
+    ],
+    "rejections": [
+      "reliance-drills-and-analog-practice-prevent-ai-deskilling-through-mandatory-human-independent-performance.md:missing_attribution_extractor",
+      "faa-mandatory-manual-flying-requirements-are-regulatory-template-for-ai-deskilling-prevention.md:missing_attribution_extractor"
+    ]
+  },
+  "model": "anthropic/claude-sonnet-4.5",
+  "date": "2026-03-18"
+}

inbox/queue/2024-12-01-jama-internmed-maryland-mtm-pilot-rct.md

@@ -7,9 +7,13 @@ date: 2024-12-01
 domain: health
 secondary_domains: []
 format: journal-article
-status: unprocessed
+status: null-result
 priority: high
 tags: [medically-tailored-meals, mtm, rct, hba1c, null-result, diabetes, food-as-medicine, pilot-trial]
+processed_by: vida
+processed_date: 2026-03-18
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "LLM returned 1 claims, 1 rejected by validator"
 ---
 
 ## Content
@@ -66,3 +70,13 @@ Pilot randomized trial of medically tailored meals for low-income adults with ty
 PRIMARY CONNECTION: Food-as-medicine clinical evidence — the most intensive intervention type (MTM + dietitian) also shows null HbA1c result
 WHY ARCHIVED: Critical new evidence that the simulation-vs-RCT gap persists even for the "best" FIM intervention — changes the confidence level for food-as-medicine clinical outcome claims
 EXTRACTION HINT: Pair with the JAMA Doyle RCT null result. Two controlled trials, two intervention types (food pharmacy vs. MTM), same null HbA1c finding. This is a pattern, not a single study artifact.
+
+
+## Key Facts
+- Maryland pilot RCT enrolled 74 adults with type 2 diabetes, 77% completed data collection
+- Study demographics: mean age 48 years, 40% male, 77% Black, mean baseline HbA1c 10.3%
+- Intervention: 12 medically tailored frozen meals + fresh produce bag weekly for 3 months, plus monthly dietitian calls for 6 months
+- Treatment group HbA1c change: -0.7%, Control group: -0.6% (not statistically significant)
+- Control group reported more favorable diabetes medication changes than treatment group
+- Study funded by Robert Wood Johnson Foundation
+- Published in Journal of General Internal Medicine 2024

inbox/queue/2025-01-01-produce-prescriptions-diabetes-care-critique.md

@@ -7,9 +7,13 @@ date: 2025-01-01
 domain: health
 secondary_domains: []
 format: perspective
-status: unprocessed
+status: enrichment
 priority: medium
 tags: [produce-prescriptions, food-is-medicine, diabetes, evidence-critique, causal-inference, intervention-design]
+processed_by: vida
+processed_date: 2026-03-18
+enrichments_applied: ["medical care explains only 10-20 percent of health outcomes because behavioral social and genetic factors dominate as four independent methodologies confirm.md", "SDOH interventions show strong ROI but adoption stalls because Z-code documentation remains below 3 percent and no operational infrastructure connects screening to action.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
 ---
 
 ## Content
@@ -62,3 +66,10 @@ Perspective piece in Diabetes Care (American Diabetes Association) with the poin
 PRIMARY CONNECTION: The food-as-medicine causal inference gap claim from Session 1
 WHY ARCHIVED: ADA's own journal questioning produce prescription evidence — the clinical community's internal skepticism, not external debunking
 EXTRACTION HINT: The distinction between "food matters for health" (proven) and "produce vouchers improve diabetes outcomes" (unproven) is the precise claim to extract
+
+
+## Key Facts
+- Diabetes Care published a perspective titled 'Food Is Medicine, but Are Produce Prescriptions?' in 2023
+- Observational evaluations of produce prescriptions include multisite 9-program studies and Recipe4Health
+- Produce prescription programs showing HbA1c improvements typically enroll patients with baseline HbA1c >9%
+- The American Diabetes Association's journal is questioning the evidence standard for produce prescriptions

inbox/queue/2025-02-04-hhs-food-is-medicine-landscape-summary.md

@@ -7,9 +7,13 @@ date: 2025-02-04
 domain: health
 secondary_domains: []
 format: report
-status: unprocessed
+status: null-result
 priority: high
 tags: [food-is-medicine, federal-policy, sdoh, nutrition, medicaid, evidence-framework]
+processed_by: vida
+processed_date: 2026-03-18
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "LLM returned 1 claims, 1 rejected by validator"
 ---
 
 ## Content
@@ -61,3 +65,10 @@ HHS, in collaboration with other federal departments through the Federal Food Is
 PRIMARY CONNECTION: Existing SDOH claim about intervention ROI
 WHY ARCHIVED: Federal taxonomy document that defines the intervention spectrum — essential context for any FIM claim in the KB
 EXTRACTION HINT: Extract the intervention taxonomy (MTMs vs. MTGs vs. produce prescriptions vs. education) with evidence quality for each. The document's own caveats are the most honest signal about the evidence base.
+
+
+## Key Facts
+- Federal Food Is Medicine definition: 'Interventions encompassing a broad range of approaches that promote optimal health and reduce disease burden by providing nutritious food — with human services, education, and policy change, through collaboration at the nexus of health care and community'
+- 16 states had approved or pending Section 1115 demonstrations for FIM coverage as of February 2025
+- HHS Food Is Medicine Landscape Summary published February 4, 2025
+- Federal FIM Collaborative includes USDA, CMS, HRSA, CDC, NIH, and HHS ODPHP

inbox/queue/2025-04-01-health-affairs-mtm-scaling-modeling.md

@@ -7,9 +7,13 @@ date: 2025-04-01
 domain: health
 secondary_domains: []
 format: journal-article
-status: unprocessed
+status: null-result
 priority: medium
 tags: [medically-tailored-meals, mtm, health-economics, simulation, modeling, evidence-gaps, scaling, cost-effectiveness]
+processed_by: vida
+processed_date: 2026-03-18
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "LLM returned 2 claims, 2 rejected by validator"
 ---
 
 ## Content
@@ -68,3 +72,14 @@ The simulation model projects cost savings; the perspective paper notes the evid
 PRIMARY CONNECTION: Food-as-medicine evidence claims — extends Session 1's produce prescription finding to MTMs
 WHY ARCHIVED: Documents the simulation-vs-RCT gap at the highest level of FIM intervention intensity; the Maryland MTM pilot null result is the key new finding
 EXTRACTION HINT: Focus on the Maryland MTM pilot null result (HbA1c -0.7% vs. -0.6%, not significant) — this is the strongest disconfirmation of the "better interventions fix the problem" hypothesis
+
+
+## Key Facts
+- Health Affairs published two simultaneous papers on MTM scaling in April 2025: a simulation model (hlthaff.2024.01307) and a perspective critique (hlthaff.2025.00161)
+- The simulation model projected MTMs would be cost-saving in nearly all US states
+- The perspective paper called for 'integrating real-world variations in MTM program design into future models, including dose, duration, and ancillary services'
+- Maryland MTM pilot (2024, JGIM): 74 adults, frozen meals + dietitian calls for 6 months, HbA1c change -0.7% treatment vs -0.6% control (not significant)
+- FAME-D trial ongoing: 200 adults, comparing MTMs to $40/month food subsidy
+- Australian MTM trial commenced Q1 2023, results anticipated March 2025
+- 16 states had active or pending Section 1115 waivers for FIM coverage at time of publication
+- Older MTM observational studies showed 49% reduction in hospital admissions

inbox/queue/2025-08-01-apha-food-is-medicine-health-equity-report.md

@@ -7,9 +7,13 @@ date: 2025-08-01
 domain: health
 secondary_domains: []
 format: report
-status: unprocessed
+status: null-result
 priority: medium
 tags: [food-is-medicine, health-equity, nutrition, public-health, apha, policy-advocacy, disparities]
+processed_by: vida
+processed_date: 2026-03-18
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "LLM returned 2 claims, 2 rejected by validator"
 ---
 
 ## Content
@@ -67,3 +71,12 @@ APHA published a comprehensive report "Food is Medicine: Advancing Health Equity
 PRIMARY CONNECTION: Health equity and SDOH territory — Cory's stated priority from the research directive
 WHY ARCHIVED: The equity-vs-clinical framing distinction is essential context for any FIM policy claim; changes what "evidence" is required depending on the policy goal
 EXTRACTION HINT: The key extractable insight is the reframing: FIM programs serve two purposes (clinical outcomes + food security/equity) that require different evidence standards. A program that improves food security and diet quality is a public health success even if it doesn't improve HbA1c. The KB should distinguish these two claims.
+
+
+## Key Facts
+- Poor nutrition in the US causes more than 600,000 deaths annually (APHA 2025)
+- Poor nutrition costs an estimated $1.1 trillion annually in health care spending and lost productivity (APHA 2025)
+- A majority of Americans expressed interest in participating in FIM interventions (Health Affairs survey cited in APHA report)
+- More than two-thirds of Americans believe Medicare and Medicaid should help pay for FIM programs (Health Affairs survey)
+- APHA report published August 2025, after VBID termination (November 2024) and HHS FIM Landscape Summary (February 2025)
+- AJPH companion piece published in Volume 115, Issue 9, 2025

inbox/queue/2025-11-01-critical-role-legend-vox-machina-mighty-nein-distribution-graduation.md

@@ -7,9 +7,13 @@ date: 2025-11-01
 domain: entertainment
 secondary_domains: []
 format: article
-status: unprocessed
+status: enrichment
 priority: medium
 tags: [critical-role, TTRPG, actual-play, distribution-graduation, amazon-prime, animation, community-IP, legend-of-vox-machina, mighty-nein]
+processed_by: clay
+processed_date: 2026-03-18
+enrichments_applied: ["creator-owned-direct-subscription-platforms-produce-qualitatively-different-audience-relationships-than-algorithmic-social-platforms-because-subscribers-choose-deliberately.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
 ---
 
 ## Content
@@ -67,3 +71,14 @@ Synthesized from multiple sources covering Critical Role Productions' distributi
 PRIMARY CONNECTION: [[progressive validation through community building reduces development risk by proving audience demand before production investment]]
 WHY ARCHIVED: Critical Role is the most complete distribution graduation case study — Twitch → owned platform → Amazon while maintaining community. Validates Session 3's distribution graduation pattern with a more complete data set than existed in the original KB claims.
 EXTRACTION HINT: Focus on the graduation arc (each step validates before investing more) and the TTRPG editorial model (DM authority = creative coherence that made Amazon want the IP). The 100% RT score across both series is the quality validation.
+
+
+## Key Facts
+- Legend of Vox Machina has 100% critic score on Rotten Tomatoes across all three seasons
+- The Mighty Nein has 100% critic score on Rotten Tomatoes
+- Legend of Vox Machina Season 4 premieres June 3, 2026
+- Legend of Vox Machina Season 5 already confirmed as final season
+- Critical Role Kickstarter raised $11.4M in 2019, making it the 3rd largest animation Kickstarter ever
+- As of February 2025, Legend of Vox Machina had 19.7x average US show demand and ranked in 99.1th percentile in comedy genre
+- Critical Role was #1 grossing Twitch channel for multiple years
+- Critical Role launched Beacon subscription platform in 2021

inbox/queue/2026-01-07-trump-maha-dietary-guidelines-reset.md

@@ -7,9 +7,13 @@ date: 2026-01-07
 domain: health
 secondary_domains: []
 format: policy-announcement
-status: unprocessed
+status: null-result
 priority: medium
 tags: [dietary-guidelines, trump, maha, nutrition-policy, ultra-processed-food, food-as-medicine, policy-contradiction]
+processed_by: vida
+processed_date: 2026-03-18
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "LLM returned 2 claims, 2 rejected by validator"
 ---
 
 ## Content
@@ -71,3 +75,14 @@ The administration that is most rhetorically committed to "real food as medicine
 PRIMARY CONNECTION: Structural misalignment claim (Belief 3 territory) — payment infrastructure contracting while rhetoric amplifies
 WHY ARCHIVED: Captures the political economy contradiction between food-as-medicine rhetoric (peak) and funding reality (contracting) as of early 2026
 EXTRACTION HINT: Focus on the specific contradiction: VBID ended 2025-12-31, Guidelines announced 2026-01-07. "The most pro-food administration in decades is also the administration that removed the payment mechanism for food benefits to low-income MA enrollees."
+
+
+## Key Facts
+- The 2025-2030 Dietary Guidelines for Americans were announced January 7, 2026
+- HHS Secretary Kennedy and USDA Secretary Rollins jointly announced the guidelines
+- The guidelines are described as 'the most significant reset of federal nutrition policy in decades'
+- Key changes include prioritizing high-quality protein, healthy fats, fruits, vegetables, whole grains
+- The guidelines explicitly call out avoiding highly processed foods and refined carbohydrates
+- The guidelines are the foundation for school meals, military meals, veteran meals, and child/adult nutrition programs
+- The 2025-2030 guidelines include ultra-processed food guidance that previous iterations had excluded despite scientific advisory committee recommendations
+- VBID model termination occurred December 31, 2025, six days before the dietary guidelines announcement

inbox/queue/2026-02-00-choudary-hbr-ai-coordination-not-automation.md

@@ -7,9 +7,13 @@ date: 2026-02-01
 domain: ai-alignment
 secondary_domains: []
 format: article
-status: unprocessed
+status: null-result
 priority: high
 tags: [coordination, automation, translation-costs, AI-value, misallocation, platform-strategy, economic-payoff]
+processed_by: theseus
+processed_date: 2026-03-18
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "LLM returned 2 claims, 2 rejected by validator"
 ---
 
 ## Content
@@ -56,3 +60,10 @@ PRIMARY CONNECTION: [[coordination protocol design produces larger capability ga
 WHY ARCHIVED: Provides the economic theory for WHY automation-focused AI deployment is suboptimal — the real value is in coordination. This reframes the overshoot problem as misallocation not just excess.
 
 EXTRACTION HINT: Extract the "translation costs" concept and the coordination-vs-automation value claim. Scope carefully: Choudary's argument is about where economic value is largest, not about alignment implications — Theseus should make the alignment connection explicit in extraction.
+
+
+## Key Facts
+- Tractable processed approximately $7 billion in insurance claims by 2023
+- Sangeet Paul Choudary is a C-level AI and platform strategy advisor, UC Berkeley senior fellow, and Thinkers50 Strategy Award 2025 recipient
+- Choudary identifies three incumbent strategies for the coordination era: become the translation layer, double down on accountability, or fragment and tax
+- Project44 in logistics and Maersk's integrated logistics model are cited as examples of incumbent adaptation strategies

inbox/queue/2026-02-00-hosanagar-ai-deskilling-prevention-interventions.md

@@ -7,9 +7,13 @@ date: 2026-02-01
 domain: ai-alignment
 secondary_domains: [health]
 format: article
-status: unprocessed
+status: null-result
 priority: high
 tags: [deskilling, human-competency, reliance-drills, analog-practice, automation-overshoot, organizational-intervention]
+processed_by: theseus
+processed_date: 2026-03-18
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "LLM returned 2 claims, 2 rejected by validator"
 ---
 
 ## Content
@@ -59,3 +63,11 @@ PRIMARY CONNECTION: [[economic forces push humans out of every cognitive loop wh
 WHY ARCHIVED: First source with specific, concrete organizational interventions against deskilling drift — the third overshoot mechanism. Also provides the FAA regulatory template analogy.
 
 EXTRACTION HINT: Extractor should focus on (a) the reliance drills concept as a claim about minimum viable organizational intervention, and (b) FAA mandatory practice as regulatory template. Do not extract the case studies — those are already in KB from other sources.
+
+
+## Key Facts
+- Air France Flight 447 crashed in 2009 due to pilot inability to manually fly after automation failure
+- FAA instituted mandatory manual flying practice sessions for pilots following Air France 447
+- Endoscopists using AI for polyp detection had adenoma detection rates drop from 28% to 22% without AI
+- Students with unrestricted GPT-4 access underperformed peers who never used AI once access was removed
+- Kartik Hosanagar is a Wharton professor studying AI and organizational behavior

inbox/queue/2026-03-02-transformativeworks-ao3-statistics-2025-update.md

@@ -7,9 +7,13 @@ date: 2026-03-02
 domain: entertainment
 secondary_domains: []
 format: article
-status: unprocessed
+status: enrichment
 priority: medium
 tags: [ao3, fanfiction, community-governance, collaborative-fiction, scale, statistics]
+processed_by: clay
+processed_date: 2026-03-18
+enrichments_applied: ["the media attractor state is community-filtered IP with AI-collapsed production costs where content becomes a loss leader for the scarce complements of fandom community and ownership.md", "fanchise management is a stack of increasing fan engagement from content extensions through co-creation and co-ownership.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
 ---
 
 ## Content
@@ -52,3 +56,16 @@ Governance model: "Fan-run, donor-supported organization staffed by volunteers."
 PRIMARY CONNECTION: [[the media attractor state is community-filtered IP with AI-collapsed production costs where content becomes a loss leader for the scarce complements of fandom community and ownership]]
 WHY ARCHIVED: AO3 is the existence proof for community-governed creative production at massive scale without editorial authority — directly tests the "distributed authorship = coherent narrative?" question from Session 6
 EXTRACTION HINT: Focus on the no-curation model + scale as evidence for the governance spectrum claim (AO3 end = parallel narratives); contrast with SCP's light-curation model
+
+
+## Key Facts
+- AO3 had 17,020,000+ fanworks as of March 2, 2026
+- AO3 spans 77,100+ fandoms
+- AO3 reached 10 million registered users in January 2026
+- AO3 recorded 879 million page views in the first week of 2026 (~125 million daily)
+- AO3 recorded 5 million comments in December 2025, a first-time milestone
+- November 2025 generated 146.6 million MORE weekly page views than November 2024 (22% growth)
+- AO3 traffic peaks on Sundays (UTC) and dips Thursday-Friday
+- AO3 experienced a July 2025 database outage requiring bookmark migration
+- AO3 has approximately 700+ volunteers serving as tag wranglers, support staff, and coders
+- AO3 was founded in 2008 by the Organization for Transformative Works

inbox/queue/2026-03-11-strategyinternational-ai-investment-outruns-oversight.md

@@ -7,9 +7,13 @@ date: 2026-03-11
 domain: ai-alignment
 secondary_domains: []
 format: article
-status: unprocessed
+status: null-result
 priority: medium
 tags: [investment, oversight, governance-deficit, deployment-pressure, AI-scale, accountability]
+processed_by: theseus
+processed_date: 2026-03-18
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "LLM returned 0 claims, 0 rejected by validator"
 ---
 
 ## Content
@@ -62,3 +66,11 @@ PRIMARY CONNECTION: [[technology advances exponentially but coordination mechani
 WHY ARCHIVED: Provides quantitative scale data ($405B/$650B investment, $600B Sequoia gap, 63% governance deficit) that gives concrete numbers to the abstract coordination gap. Most useful as evidence enrichment for existing claims rather than new claim extraction.
 
 EXTRACTION HINT: Use primarily as evidence enrichment for existing claims about investment-governance mismatch. Note the $600B Sequoia gap as the specific monetization pressure mechanism.
+
+
+## Key Facts
+- Major tech firms projected to spend ~$405 billion building AI infrastructure in 2025
+- Four largest tech providers may invest $650 billion more in 2026
+- Sequoia Capital identified a $600 billion gap between AI infrastructure spending and AI earnings
+- 63% of surveyed organizations lack AI governance policies (IBM research)
+- Regulatory timelines measured in years while AI release cycles measured in weeks to hours