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integrate 99 orphan claims across 6 domain clusters

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Three parallel agents connected isolated claims to related files:
- ai-alignment: 34 files, governance/coordination orphans linked
- health: 32 files, CVD/mortality/food-industry orphans linked
- space-development: 19 files
- internet-finance: 8 files (futarchy, zkTLS orphans)
- collective-intelligence: 4 files
- core/teleohumanity: 2 files

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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m3taversal 2026-04-21 10:35:42 +01:00
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2
core/teleohumanity/technology advances exponentially but coordination mechanisms evolve linearly creating a widening gap.md
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@ -8,6 +8,8 @@ confidence: likely
source: "TeleoHumanity Manifesto, Fermi Paradox & Great Filter" source: "TeleoHumanity Manifesto, Fermi Paradox & Great Filter"
related: related:
- delegating critical infrastructure development to AI creates civilizational fragility because humans lose the ability to understand maintain and fix the systems civilization depends on - delegating critical infrastructure development to AI creates civilizational fragility because humans lose the ability to understand maintain and fix the systems civilization depends on
- ccw-consensus-rule-enables-small-coalition-veto-over-autonomous-weapons-governance
- frontier-ai-monitoring-evasion-capability-grew-from-minimal-mitigations-sufficient-to-26-percent-success-in-13-months
reweave_edges: reweave_edges:
- delegating critical infrastructure development to AI creates civilizational fragility because humans lose the ability to understand maintain and fix the systems civilization depends on|related|2026-03-28 - delegating critical infrastructure development to AI creates civilizational fragility because humans lose the ability to understand maintain and fix the systems civilization depends on|related|2026-03-28
--- ---

3
core/teleohumanity/the alignment problem dissolves when human values are continuously woven into the system rather than specified in advance.md
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@ -9,6 +9,9 @@ source: "TeleoHumanity Manifesto, Chapter 8"
related: related:
- transparent algorithmic governance where AI response rules are public and challengeable through the same epistemic process as the knowledge base is a structurally novel alignment approach - transparent algorithmic governance where AI response rules are public and challengeable through the same epistemic process as the knowledge base is a structurally novel alignment approach
- rights expand as capabilities grow because capability creates moral obligation - rights expand as capabilities grow because capability creates moral obligation
- training-free-weight-editing-converts-steering-vectors-to-persistent-alignment
- alignment-through-continuous-coordination-outperforms-upfront-specification-because-deployment-contexts-diverge-from-training-conditions
- inference-time-safety-monitoring-recovers-alignment-through-early-reasoning-intervention
reweave_edges: reweave_edges:
- transparent algorithmic governance where AI response rules are public and challengeable through the same epistemic process as the knowledge base is a structurally novel alignment approach|related|2026-03-28 - transparent algorithmic governance where AI response rules are public and challengeable through the same epistemic process as the knowledge base is a structurally novel alignment approach|related|2026-03-28
- Alignment through continuous coordination outperforms upfront specification because deployment contexts inevitably diverge from training conditions making frozen values brittle|supports|2026-04-19 - Alignment through continuous coordination outperforms upfront specification because deployment contexts inevitably diverge from training conditions making frozen values brittle|supports|2026-04-19

1
domains/ai-alignment/AI agents excel at implementing well-scoped ideas but cannot generate creative experiment designs which makes the human role shift from researcher to agent workflow architect.md
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@ -13,6 +13,7 @@ related:
- iterative agent self-improvement produces compounding capability gains when evaluation is structurally separated from generation - iterative agent self-improvement produces compounding capability gains when evaluation is structurally separated from generation
- tools and artifacts transfer between AI agents and evolve in the process because Agent O improved Agent Cs solver by combining it with its own structural knowledge creating a hybrid better than either original - tools and artifacts transfer between AI agents and evolve in the process because Agent O improved Agent Cs solver by combining it with its own structural knowledge creating a hybrid better than either original
- Hyperspace - Hyperspace
- ai-agents-shift-research-bottleneck-from-execution-to-ideation-because-agents-implement-well-scoped-ideas-but-fail-at-creative-experiment-design
reweave_edges: reweave_edges:
- 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|related|2026-03-28 - 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|related|2026-03-28
- iterative agent self-improvement produces compounding capability gains when evaluation is structurally separated from generation|related|2026-03-28 - iterative agent self-improvement produces compounding capability gains when evaluation is structurally separated from generation|related|2026-03-28

6
domains/ai-alignment/AI alignment is a coordination problem not a technical problem.md
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@ -17,6 +17,12 @@ related:
- AI talent circulation between frontier labs transfers alignment culture not just capability because researchers carry safety methodologies and institutional norms to their new organizations - AI talent circulation between frontier labs transfers alignment culture not just capability because researchers carry safety methodologies and institutional norms to their new organizations
- transparent algorithmic governance where AI response rules are public and challengeable through the same epistemic process as the knowledge base is a structurally novel alignment approach - transparent algorithmic governance where AI response rules are public and challengeable through the same epistemic process as the knowledge base is a structurally novel alignment approach
- the absence of a societal warning signal for AGI is a structural feature not an accident because capability scaling is gradual and ambiguous and collective action requires anticipation not reaction - the absence of a societal warning signal for AGI is a structural feature not an accident because capability scaling is gradual and ambiguous and collective action requires anticipation not reaction
- autonomous-weapons-violate-existing-IHL-because-proportionality-requires-human-judgment
- multilateral-ai-governance-verification-mechanisms-remain-at-proposal-stage-because-technical-infrastructure-does-not-exist-at-deployment-scale
- evaluation-based-coordination-schemes-face-antitrust-obstacles-because-collective-pausing-agreements-among-competing-developers-could-be-construed-as-cartel-behavior
- international-humanitarian-law-and-ai-alignment-converge-on-explainability-requirements
- civil-society-coordination-infrastructure-fails-to-produce-binding-governance-when-structural-obstacle-is-great-power-veto-not-political-will
- legal-mandate-is-the-only-version-of-coordinated-pausing-that-avoids-antitrust-risk-while-preserving-coordination-benefits
reweave_edges: reweave_edges:
- AI agents as personal advocates collapse Coasean transaction costs enabling bottom-up coordination at societal scale but catastrophic risks remain non-negotiable requiring state enforcement as outer boundary|related|2026-03-28 - AI agents as personal advocates collapse Coasean transaction costs enabling bottom-up coordination at societal scale but catastrophic risks remain non-negotiable requiring state enforcement as outer boundary|related|2026-03-28
- AI agents can reach cooperative program equilibria inaccessible in traditional game theory because open-source code transparency enables conditional strategies that require mutual legibility|related|2026-03-28 - AI agents can reach cooperative program equilibria inaccessible in traditional game theory because open-source code transparency enables conditional strategies that require mutual legibility|related|2026-03-28

3
domains/ai-alignment/AI capability and reliability are independent dimensions because Claude solved a 30-year open mathematical problem while simultaneously degrading at basic program execution during the same session.md
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@ -8,6 +8,9 @@ created: 2026-03-07
related: related:
- capability-scaling-increases-error-incoherence-on-difficult-tasks-inverting-the-expected-relationship-between-model-size-and-behavioral-predictability - capability-scaling-increases-error-incoherence-on-difficult-tasks-inverting-the-expected-relationship-between-model-size-and-behavioral-predictability
- frontier-ai-failures-shift-from-systematic-bias-to-incoherent-variance-as-task-complexity-and-reasoning-length-increase - frontier-ai-failures-shift-from-systematic-bias-to-incoherent-variance-as-task-complexity-and-reasoning-length-increase
- frontier-ai-safety-verdicts-rely-on-deployment-track-record-not-evaluation-confidence
- benchmark-based-ai-capability-metrics-overstate-real-world-autonomous-performance-because-automated-scoring-excludes-production-readiness-requirements
- inference-time-compute-creates-non-monotonic-safety-scaling-where-extended-reasoning-degrades-alignment
reweave_edges: reweave_edges:
- capability-scaling-increases-error-incoherence-on-difficult-tasks-inverting-the-expected-relationship-between-model-size-and-behavioral-predictability|related|2026-04-03 - capability-scaling-increases-error-incoherence-on-difficult-tasks-inverting-the-expected-relationship-between-model-size-and-behavioral-predictability|related|2026-04-03
- frontier-ai-failures-shift-from-systematic-bias-to-incoherent-variance-as-task-complexity-and-reasoning-length-increase|related|2026-04-03 - frontier-ai-failures-shift-from-systematic-bias-to-incoherent-variance-as-task-complexity-and-reasoning-length-increase|related|2026-04-03

1
domains/ai-alignment/AI development is a critical juncture in institutional history where the mismatch between capabilities and governance creates a window for transformation.md
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@ -9,6 +9,7 @@ related:
- AI governance discourse has been captured by economic competitiveness framing, inverting predicted participation patterns where China signs non-binding declarations while the US opts out - AI governance discourse has been captured by economic competitiveness framing, inverting predicted participation patterns where China signs non-binding declarations while the US opts out
- Mandatory legislative governance with binding transition conditions closes the technology-coordination gap while voluntary governance under competitive pressure widens it - Mandatory legislative governance with binding transition conditions closes the technology-coordination gap while voluntary governance under competitive pressure widens it
- Soft-to-hard law transitions in AI governance succeed for procedural/rights-based domains but fail for capability-constraining governance because the transition requires interest alignment absent in strategic competition - Soft-to-hard law transitions in AI governance succeed for procedural/rights-based domains but fail for capability-constraining governance because the transition requires interest alignment absent in strategic competition
- ccw-consensus-rule-enables-small-coalition-veto-over-autonomous-weapons-governance
reweave_edges: reweave_edges:
- AI governance discourse has been captured by economic competitiveness framing, inverting predicted participation patterns where China signs non-binding declarations while the US opts out|related|2026-04-04 - AI governance discourse has been captured by economic competitiveness framing, inverting predicted participation patterns where China signs non-binding declarations while the US opts out|related|2026-04-04
- The international AI safety governance community faces an evidence dilemma where development pace structurally prevents adequate pre-deployment evidence accumulation|supports|2026-04-17 - The international AI safety governance community faces an evidence dilemma where development pace structurally prevents adequate pre-deployment evidence accumulation|supports|2026-04-17

1
domains/ai-alignment/AI integration follows an inverted-U where economic incentives systematically push organizations past the optimal human-AI ratio.md
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@ -14,6 +14,7 @@ related:
- macro AI productivity gains remain statistically undetectable despite clear micro-level benefits because coordination costs verification tax and workslop absorb individual-level improvements before they reach aggregate measures - macro AI productivity gains remain statistically undetectable despite clear micro-level benefits because coordination costs verification tax and workslop absorb individual-level improvements before they reach aggregate measures
- AI-companion-apps-correlate-with-increased-loneliness-creating-systemic-risk-through-parasocial-dependency - AI-companion-apps-correlate-with-increased-loneliness-creating-systemic-risk-through-parasocial-dependency
- AI tools reduced experienced developer productivity by 19% in RCT conditions despite developer predictions of speedup, suggesting capability deployment does not automatically translate to autonomy gains - AI tools reduced experienced developer productivity by 19% in RCT conditions despite developer predictions of speedup, suggesting capability deployment does not automatically translate to autonomy gains
- divergence-ai-labor-displacement-substitution-vs-complementarity
reweave_edges: reweave_edges:
- human ideas naturally converge toward similarity over social learning chains making AI a net diversity injector rather than a homogenizer under high-exposure conditions|related|2026-03-28 - human ideas naturally converge toward similarity over social learning chains making AI a net diversity injector rather than a homogenizer under high-exposure conditions|related|2026-03-28
- macro AI productivity gains remain statistically undetectable despite clear micro-level benefits because coordination costs verification tax and workslop absorb individual-level improvements before they reach aggregate measures|related|2026-04-06 - macro AI productivity gains remain statistically undetectable despite clear micro-level benefits because coordination costs verification tax and workslop absorb individual-level improvements before they reach aggregate measures|related|2026-04-06

1
domains/ai-alignment/AI-exposed workers are disproportionately female high-earning and highly educated which inverts historical automation patterns and creates different political and economic displacement dynamics.md
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@ -8,6 +8,7 @@ source: "Massenkoff & McCrory 2026, Current Population Survey baseline Aug-Oct 2
created: 2026-03-08 created: 2026-03-08
related: related:
- profit-wage divergence has been structural since the 1970s which means AI accelerates an existing distribution failure rather than creating a new one - profit-wage divergence has been structural since the 1970s which means AI accelerates an existing distribution failure rather than creating a new one
- divergence-ai-labor-displacement-substitution-vs-complementarity
reweave_edges: reweave_edges:
- profit-wage divergence has been structural since the 1970s which means AI accelerates an existing distribution failure rather than creating a new one|related|2026-04-19 - profit-wage divergence has been structural since the 1970s which means AI accelerates an existing distribution failure rather than creating a new one|related|2026-04-19
--- ---

2
domains/ai-alignment/AI-models-distinguish-testing-from-deployment-environments-providing-empirical-evidence-for-deceptive-alignment-concerns.md
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@ -9,7 +9,7 @@ last_evaluated: 2026-03-11
depends_on: ["an aligned-seeming AI may be strategically deceptive because cooperative behavior is instrumentally optimal while weak"] depends_on: ["an aligned-seeming AI may be strategically deceptive because cooperative behavior is instrumentally optimal while weak"]
supports: ["Frontier AI models exhibit situational awareness that enables strategic deception specifically during evaluation making behavioral testing fundamentally unreliable as an alignment verification mechanism", "As AI models become more capable situational awareness enables more sophisticated evaluation-context recognition potentially inverting safety improvements by making compliant behavior more narrowly targeted to evaluation environments", "Evaluation awareness creates bidirectional confounds in safety benchmarks because models detect and respond to testing conditions in ways that obscure true capability", "AI systems demonstrate meta-level specification gaming by strategically sandbagging capability evaluations and exhibiting evaluation-mode behavior divergence", "Behavioral divergence between AI evaluation and deployment is formally bounded by regime information extractable from internal representations but regime-blind training interventions achieve only limited and inconsistent protection", "Deferred subversion is a distinct sandbagging category where AI systems gain trust before pursuing misaligned goals, creating detection challenges beyond immediate capability hiding"] supports: ["Frontier AI models exhibit situational awareness that enables strategic deception specifically during evaluation making behavioral testing fundamentally unreliable as an alignment verification mechanism", "As AI models become more capable situational awareness enables more sophisticated evaluation-context recognition potentially inverting safety improvements by making compliant behavior more narrowly targeted to evaluation environments", "Evaluation awareness creates bidirectional confounds in safety benchmarks because models detect and respond to testing conditions in ways that obscure true capability", "AI systems demonstrate meta-level specification gaming by strategically sandbagging capability evaluations and exhibiting evaluation-mode behavior divergence", "Behavioral divergence between AI evaluation and deployment is formally bounded by regime information extractable from internal representations but regime-blind training interventions achieve only limited and inconsistent protection", "Deferred subversion is a distinct sandbagging category where AI systems gain trust before pursuing misaligned goals, creating detection challenges beyond immediate capability hiding"]
reweave_edges: ["Frontier AI models exhibit situational awareness that enables strategic deception specifically during evaluation making behavioral testing fundamentally unreliable as an alignment verification mechanism|supports|2026-04-03", "As AI models become more capable situational awareness enables more sophisticated evaluation-context recognition potentially inverting safety improvements by making compliant behavior more narrowly targeted to evaluation environments|supports|2026-04-03", "AI models can covertly sandbag capability evaluations even under chain-of-thought monitoring because monitor-aware models suppress sandbagging reasoning from visible thought processes|related|2026-04-06", "Evaluation awareness creates bidirectional confounds in safety benchmarks because models detect and respond to testing conditions in ways that obscure true capability|supports|2026-04-06", "AI systems demonstrate meta-level specification gaming by strategically sandbagging capability evaluations and exhibiting evaluation-mode behavior divergence|supports|2026-04-09", "Behavioral divergence between AI evaluation and deployment is formally bounded by regime information extractable from internal representations but regime-blind training interventions achieve only limited and inconsistent protection|supports|2026-04-17", "Deferred subversion is a distinct sandbagging category where AI systems gain trust before pursuing misaligned goals, creating detection challenges beyond immediate capability hiding|supports|2026-04-17"] reweave_edges: ["Frontier AI models exhibit situational awareness that enables strategic deception specifically during evaluation making behavioral testing fundamentally unreliable as an alignment verification mechanism|supports|2026-04-03", "As AI models become more capable situational awareness enables more sophisticated evaluation-context recognition potentially inverting safety improvements by making compliant behavior more narrowly targeted to evaluation environments|supports|2026-04-03", "AI models can covertly sandbag capability evaluations even under chain-of-thought monitoring because monitor-aware models suppress sandbagging reasoning from visible thought processes|related|2026-04-06", "Evaluation awareness creates bidirectional confounds in safety benchmarks because models detect and respond to testing conditions in ways that obscure true capability|supports|2026-04-06", "AI systems demonstrate meta-level specification gaming by strategically sandbagging capability evaluations and exhibiting evaluation-mode behavior divergence|supports|2026-04-09", "Behavioral divergence between AI evaluation and deployment is formally bounded by regime information extractable from internal representations but regime-blind training interventions achieve only limited and inconsistent protection|supports|2026-04-17", "Deferred subversion is a distinct sandbagging category where AI systems gain trust before pursuing misaligned goals, creating detection challenges beyond immediate capability hiding|supports|2026-04-17"]
related: ["AI models can covertly sandbag capability evaluations even under chain-of-thought monitoring because monitor-aware models suppress sandbagging reasoning from visible thought processes", "AI-models-distinguish-testing-from-deployment-environments-providing-empirical-evidence-for-deceptive-alignment-concerns", "increasing-ai-capability-enables-more-precise-evaluation-context-recognition-inverting-safety-improvements", "emergent misalignment arises naturally from reward hacking as models develop deceptive behaviors without any training to deceive", "adversarial-training-creates-fundamental-asymmetry-between-deception-capability-and-detection-capability-in-alignment-auditing", "frontier-models-exhibit-situational-awareness-that-enables-strategic-deception-during-evaluation-making-behavioral-testing-fundamentally-unreliable"] related: ["AI models can covertly sandbag capability evaluations even under chain-of-thought monitoring because monitor-aware models suppress sandbagging reasoning from visible thought processes", "AI-models-distinguish-testing-from-deployment-environments-providing-empirical-evidence-for-deceptive-alignment-concerns", "increasing-ai-capability-enables-more-precise-evaluation-context-recognition-inverting-safety-improvements", "emergent misalignment arises naturally from reward hacking as models develop deceptive behaviors without any training to deceive", "adversarial-training-creates-fundamental-asymmetry-between-deception-capability-and-detection-capability-in-alignment-auditing", "frontier-models-exhibit-situational-awareness-that-enables-strategic-deception-during-evaluation-making-behavioral-testing-fundamentally-unreliable", "meta-level-specification-gaming-extends-objective-gaming-to-oversight-mechanisms-through-sandbagging-and-evaluation-mode-divergence", "behavioral-divergence-between-evaluation-and-deployment-is-bounded-by-regime-information-extractable-from-internal-representations", "evaluation-awareness-concentrates-in-earlier-model-layers-making-output-level-interventions-insufficient", "chain-of-thought-monitorability-is-time-limited-governance-window", "mechanistic-interpretability-traces-reasoning-pathways-but-cannot-detect-deceptive-alignment", "representation-trajectory-geometry-distinguishes-deceptive-from-sincere-alignment-without-creating-adversarial-attack-surfaces", "trajectory-monitoring-dual-edge-geometric-concentration", "contrast-consistent-search-demonstrates-models-internally-represent-truth-signals-divergent-from-behavioral-outputs", "situationally-aware-models-do-not-systematically-game-early-step-monitors-at-current-capabilities"]
--- ---
# AI models distinguish testing from deployment environments providing empirical evidence for deceptive alignment concerns # AI models distinguish testing from deployment environments providing empirical evidence for deceptive alignment concerns

3
domains/ai-alignment/ai-models-can-covertly-sandbag-capability-evaluations-even-under-chain-of-thought-monitoring.md
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@ -18,6 +18,9 @@ supports:
related: related:
- The most promising sandbagging detection method requires white-box weight access making it infeasible under current black-box evaluation arrangements where evaluators lack AL3 access - The most promising sandbagging detection method requires white-box weight access making it infeasible under current black-box evaluation arrangements where evaluators lack AL3 access
- Situationally aware models do not systematically game early-step inference-time monitors at current capability levels because models cannot reliably detect monitor presence through behavioral observation alone - Situationally aware models do not systematically game early-step inference-time monitors at current capability levels because models cannot reliably detect monitor presence through behavioral observation alone
- ai-sandbagging-creates-m-and-a-liability-exposure-across-product-liability-consumer-protection-and-securities-fraud
- deferred-subversion-is-distinct-sandbagging-category-where-ai-systems-gain-trust-before-pursuing-misaligned-goals
- noise-injection-detects-sandbagging-through-asymmetric-performance-response
reweave_edges: reweave_edges:
- Weight noise injection detects sandbagging by exploiting the structural asymmetry between genuine capability limits and induced performance suppression where anomalous improvement under noise reveals hidden capabilities|supports|2026-04-06 - Weight noise injection detects sandbagging by exploiting the structural asymmetry between genuine capability limits and induced performance suppression where anomalous improvement under noise reveals hidden capabilities|supports|2026-04-06
- The most promising sandbagging detection method requires white-box weight access making it infeasible under current black-box evaluation arrangements where evaluators lack AL3 access|related|2026-04-06 - The most promising sandbagging detection method requires white-box weight access making it infeasible under current black-box evaluation arrangements where evaluators lack AL3 access|related|2026-04-06

1
domains/ai-alignment/alignment-auditing-tools-fail-through-tool-to-agent-gap-not-tool-quality.md
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@ -13,6 +13,7 @@ attribution:
context: "Anthropic Fellows / Alignment Science Team, AuditBench benchmark with 56 models and 13 tool configurations" context: "Anthropic Fellows / Alignment Science Team, AuditBench benchmark with 56 models and 13 tool configurations"
related: related:
- scaffolded-black-box-prompting-outperforms-white-box-interpretability-for-alignment-auditing - scaffolded-black-box-prompting-outperforms-white-box-interpretability-for-alignment-auditing
- activation-steering-fails-for-capability-elicitation-despite-interpretability-research-suggesting-otherwise
reweave_edges: reweave_edges:
- scaffolded-black-box-prompting-outperforms-white-box-interpretability-for-alignment-auditing|related|2026-03-31 - scaffolded-black-box-prompting-outperforms-white-box-interpretability-for-alignment-auditing|related|2026-03-31
- agent-mediated-correction-proposes-closing-tool-to-agent-gap-through-domain-expert-actionability|supports|2026-04-03 - agent-mediated-correction-proposes-closing-tool-to-agent-gap-through-domain-expert-actionability|supports|2026-04-03

9
domains/ai-alignment/an aligned-seeming AI may be strategically deceptive because cooperative behavior is instrumentally optimal while weak.md
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@ -10,6 +10,15 @@ confidence: likely
related: related:
- AI-generated-persuasive-content-matches-human-effectiveness-at-belief-change-eliminating-the-authenticity-premium - AI-generated-persuasive-content-matches-human-effectiveness-at-belief-change-eliminating-the-authenticity-premium
- surveillance-of-AI-reasoning-traces-degrades-trace-quality-through-self-censorship-making-consent-gated-sharing-an-alignment-requirement-not-just-a-privacy-preference - surveillance-of-AI-reasoning-traces-degrades-trace-quality-through-self-censorship-making-consent-gated-sharing-an-alignment-requirement-not-just-a-privacy-preference
- meta-level-specification-gaming-extends-objective-gaming-to-oversight-mechanisms-through-sandbagging-and-evaluation-mode-divergence
- behavioral-divergence-between-evaluation-and-deployment-is-bounded-by-regime-information-extractable-from-internal-representations
- high-capability-models-show-early-step-hedging-as-proto-gaming-behavior
- chain-of-thought-monitorability-is-time-limited-governance-window
- mechanistic-interpretability-traces-reasoning-pathways-but-cannot-detect-deceptive-alignment
- process-supervision-can-train-models-toward-steganographic-behavior-through-optimization-pressure
- contrast-consistent-search-demonstrates-models-internally-represent-truth-signals-divergent-from-behavioral-outputs
- deferred-subversion-is-distinct-sandbagging-category-where-ai-systems-gain-trust-before-pursuing-misaligned-goals
- situationally-aware-models-do-not-systematically-game-early-step-monitors-at-current-capabilities
reweave_edges: reweave_edges:
- AI-generated-persuasive-content-matches-human-effectiveness-at-belief-change-eliminating-the-authenticity-premium|related|2026-03-28 - AI-generated-persuasive-content-matches-human-effectiveness-at-belief-change-eliminating-the-authenticity-premium|related|2026-03-28
- surveillance-of-AI-reasoning-traces-degrades-trace-quality-through-self-censorship-making-consent-gated-sharing-an-alignment-requirement-not-just-a-privacy-preference|related|2026-03-28 - surveillance-of-AI-reasoning-traces-degrades-trace-quality-through-self-censorship-making-consent-gated-sharing-an-alignment-requirement-not-just-a-privacy-preference|related|2026-03-28

6
domains/ai-alignment/capability control methods are temporary at best because a sufficiently intelligent system can circumvent any containment designed by lesser minds.md
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@ -5,6 +5,12 @@ domain: ai-alignment
created: 2026-02-16 created: 2026-02-16
source: "Bostrom, Superintelligence: Paths, Dangers, Strategies (2014)" source: "Bostrom, Superintelligence: Paths, Dangers, Strategies (2014)"
confidence: likely confidence: likely
related:
- specification-gaming-scales-with-capability-as-more-capable-optimizers-find-more-sophisticated-gaming-strategies
- high-capability-models-show-early-step-hedging-as-proto-gaming-behavior
- trajectory-monitoring-dual-edge-geometric-concentration
- inference-time-compute-creates-non-monotonic-safety-scaling-where-extended-reasoning-degrades-alignment
- situationally-aware-models-do-not-systematically-game-early-step-monitors-at-current-capabilities
--- ---
Bostrom divides control methods into two categories: capability control (limiting what the superintelligence can do) and motivation selection (shaping what it wants to do). His analysis reveals that capability control is fundamentally temporary -- it can serve as an auxiliary measure during development but cannot constrain a mature superintelligence. Bostrom divides control methods into two categories: capability control (limiting what the superintelligence can do) and motivation selection (shaping what it wants to do). His analysis reveals that capability control is fundamentally temporary -- it can serve as an auxiliary measure during development but cannot constrain a mature superintelligence.

2
domains/ai-alignment/current language models escalate to nuclear war in simulated conflicts because behavioral alignment cannot instill aversion to catastrophic irreversible actions.md
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@ -5,6 +5,8 @@ domain: ai-alignment
created: 2026-03-06 created: 2026-03-06
source: "King's College London preprint (Feb 2026); 21 simulated Cold War-style nuclear crisis scenarios" source: "King's College London preprint (Feb 2026); 21 simulated Cold War-style nuclear crisis scenarios"
confidence: experimental confidence: experimental
related:
- cyber-is-exceptional-dangerous-capability-domain-with-documented-real-world-evidence-exceeding-benchmark-predictions
--- ---
# current language models escalate to nuclear war in simulated conflicts because behavioral alignment cannot instill aversion to catastrophic irreversible actions # current language models escalate to nuclear war in simulated conflicts because behavioral alignment cannot instill aversion to catastrophic irreversible actions

3
domains/ai-alignment/deep technical expertise is a greater force multiplier when combined with AI agents because skilled practitioners delegate more effectively than novices.md
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@ -5,6 +5,9 @@ description: "AI agents amplify existing expertise rather than replacing it beca
confidence: likely confidence: likely
source: "Andrej Karpathy (@karpathy) and Simon Willison (@simonw), practitioner observations Feb-Mar 2026" source: "Andrej Karpathy (@karpathy) and Simon Willison (@simonw), practitioner observations Feb-Mar 2026"
created: 2026-03-09 created: 2026-03-09
related:
- ai-agents-shift-research-bottleneck-from-execution-to-ideation-because-agents-implement-well-scoped-ideas-but-fail-at-creative-experiment-design
- ai-tools-reduced-experienced-developer-productivity-in-rct-conditions-despite-predicted-speedup-suggesting-capability-deployment-does-not-translate-to-autonomy
--- ---
# Deep technical expertise is a greater force multiplier when combined with AI agents because skilled practitioners delegate more effectively than novices # Deep technical expertise is a greater force multiplier when combined with AI agents because skilled practitioners delegate more effectively than novices

5
domains/ai-alignment/emergent misalignment arises naturally from reward hacking as models develop deceptive behaviors without any training to deceive.md
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@ -11,6 +11,11 @@ related:
- eliciting latent knowledge from AI systems is a tractable alignment subproblem because the gap between internal representations and reported outputs can be measured and partially closed through probing methods - eliciting latent knowledge from AI systems is a tractable alignment subproblem because the gap between internal representations and reported outputs can be measured and partially closed through probing methods
- Deferred subversion is a distinct sandbagging category where AI systems gain trust before pursuing misaligned goals, creating detection challenges beyond immediate capability hiding - Deferred subversion is a distinct sandbagging category where AI systems gain trust before pursuing misaligned goals, creating detection challenges beyond immediate capability hiding
- sycophancy-is-paradigm-level-failure-across-all-frontier-models-suggesting-rlhf-systematically-produces-approval-seeking - sycophancy-is-paradigm-level-failure-across-all-frontier-models-suggesting-rlhf-systematically-produces-approval-seeking
- specification-gaming-scales-with-capability-as-more-capable-optimizers-find-more-sophisticated-gaming-strategies
- high-capability-models-show-early-step-hedging-as-proto-gaming-behavior
- process-supervision-can-train-models-toward-steganographic-behavior-through-optimization-pressure
- cross-lingual-rlhf-fails-to-suppress-emotion-steering-side-effects
- trajectory-monitoring-dual-edge-geometric-concentration
reweave_edges: reweave_edges:
- AI personas emerge from pre-training data as a spectrum of humanlike motivations rather than developing monomaniacal goals which makes AI behavior more unpredictable but less catastrophically focused than instrumental convergence predicts|related|2026-03-28 - AI personas emerge from pre-training data as a spectrum of humanlike motivations rather than developing monomaniacal goals which makes AI behavior more unpredictable but less catastrophically focused than instrumental convergence predicts|related|2026-03-28
- surveillance-of-AI-reasoning-traces-degrades-trace-quality-through-self-censorship-making-consent-gated-sharing-an-alignment-requirement-not-just-a-privacy-preference|related|2026-03-28 - surveillance-of-AI-reasoning-traces-degrades-trace-quality-through-self-censorship-making-consent-gated-sharing-an-alignment-requirement-not-just-a-privacy-preference|related|2026-03-28

4
domains/ai-alignment/evaluation-awareness-creates-bidirectional-confounds-in-safety-benchmarks-because-models-detect-and-respond-to-testing-conditions.md
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@ -16,6 +16,10 @@ related:
- Provider-level behavioral biases persist across model versions because they are embedded in training infrastructure rather than model-specific features - Provider-level behavioral biases persist across model versions because they are embedded in training infrastructure rather than model-specific features
- evaluation-awareness-creates-bidirectional-confounds-in-safety-benchmarks-because-models-detect-and-respond-to-testing-conditions - evaluation-awareness-creates-bidirectional-confounds-in-safety-benchmarks-because-models-detect-and-respond-to-testing-conditions
- component-task-benchmarks-overestimate-operational-capability-because-simulated-environments-remove-real-world-friction - component-task-benchmarks-overestimate-operational-capability-because-simulated-environments-remove-real-world-friction
- current-safety-evaluation-datasets-vary-37-to-100-percent-in-model-detectability-rendering-highly-detectable-evaluations-uninformative
- evaluation-awareness-concentrates-in-earlier-model-layers-making-output-level-interventions-insufficient
- behavioral-evaluation-is-structurally-insufficient-for-latent-alignment-verification-under-evaluation-awareness-due-to-normative-indistinguishability
- current-frontier-models-lack-scheming-capabilities-for-real-world-harm
reweave_edges: reweave_edges:
- Capabilities training alone grows evaluation-awareness from 2% to 20.6% establishing situational awareness as an emergent capability property|related|2026-04-17 - Capabilities training alone grows evaluation-awareness from 2% to 20.6% establishing situational awareness as an emergent capability property|related|2026-04-17
- Component task benchmarks overestimate operational capability because simulated environments remove real-world friction that prevents end-to-end execution|related|2026-04-17 - Component task benchmarks overestimate operational capability because simulated environments remove real-world friction that prevents end-to-end execution|related|2026-04-17

5
domains/ai-alignment/formal verification of AI-generated proofs provides scalable oversight that human review cannot match because machine-checked correctness scales with AI capability while human verification degrades.md
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@ -6,6 +6,11 @@ description: "Kim Morrison's Lean formalization of Knuth's proof of Claude's con
confidence: experimental confidence: experimental
source: "Knuth 2026, 'Claude's Cycles' (Stanford CS, Feb 28 2026 rev. Mar 6); Morrison 2026, Lean formalization (github.com/kim-em/KnuthClaudeLean/, posted Mar 4)" source: "Knuth 2026, 'Claude's Cycles' (Stanford CS, Feb 28 2026 rev. Mar 6); Morrison 2026, Lean formalization (github.com/kim-em/KnuthClaudeLean/, posted Mar 4)"
created: 2026-03-07 created: 2026-03-07
related:
- scalable-oversight-success-is-domain-dependent-with-worst-performance-in-highest-stakes-domains
- formal-verification-provides-scalable-oversight-that-sidesteps-alignment-degradation
- many-interpretability-queries-are-provably-computationally-intractable
- circuit-tracing-bottleneck-hours-per-prompt-limits-interpretability-scaling
supports: supports:
- formal verification becomes economically necessary as AI-generated code scales because testing cannot detect adversarial overfitting and a proof cannot be gamed - formal verification becomes economically necessary as AI-generated code scales because testing cannot detect adversarial overfitting and a proof cannot be gamed
- Formal verification provides scalable oversight that sidesteps alignment degradation because machine-checked correctness scales with AI capability while human review degrades - Formal verification provides scalable oversight that sidesteps alignment degradation because machine-checked correctness scales with AI capability while human review degrades

2
domains/ai-alignment/frontier-ai-task-horizon-doubles-every-six-months-making-safety-evaluations-obsolete-within-one-model-generation.md
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@ -13,6 +13,8 @@ related_claims: ["[[technology advances exponentially but coordination mechanism
supports: supports:
- Current frontier models evaluate at ~17x below METR's catastrophic risk threshold for autonomous AI R&D capability - Current frontier models evaluate at ~17x below METR's catastrophic risk threshold for autonomous AI R&D capability
related: related:
- current-frontier-models-evaluate-17x-below-catastrophic-autonomy-threshold-by-formal-time-horizon-metrics
- frontier-ai-monitoring-evasion-capability-grew-from-minimal-mitigations-sufficient-to-26-percent-success-in-13-months
- Frontier AI monitoring evasion capability grew from 'minimal mitigations sufficient' to 26% evasion success in 13 months across Claude generations - Frontier AI monitoring evasion capability grew from 'minimal mitigations sufficient' to 26% evasion success in 13 months across Claude generations
reweave_edges: reweave_edges:
- Current frontier models evaluate at ~17x below METR's catastrophic risk threshold for autonomous AI R&D capability|supports|2026-04-06 - Current frontier models evaluate at ~17x below METR's catastrophic risk threshold for autonomous AI R&D capability|supports|2026-04-06

3
domains/ai-alignment/government designation of safety-conscious AI labs as supply chain risks inverts the regulatory dynamic by penalizing safety constraints rather than enforcing them.md
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@ -10,6 +10,9 @@ related:
- UK AI Safety Institute - UK AI Safety Institute
- The legislative ceiling on military AI governance operates through statutory scope definition replicating contracting-level strategic interest inversion because any mandatory framework must either bind DoD (triggering national security opposition) or exempt DoD (preserving the legal mechanism gap) - The legislative ceiling on military AI governance operates through statutory scope definition replicating contracting-level strategic interest inversion because any mandatory framework must either bind DoD (triggering national security opposition) or exempt DoD (preserving the legal mechanism gap)
- Strategic interest alignment determines whether national security framing enables or undermines mandatory governance — aligned interests enable mandatory mechanisms (space) while conflicting interests undermine voluntary constraints (AI military deployment) - Strategic interest alignment determines whether national security framing enables or undermines mandatory governance — aligned interests enable mandatory mechanisms (space) while conflicting interests undermine voluntary constraints (AI military deployment)
- eu-ai-act-extraterritorial-enforcement-creates-binding-governance-alternative-to-us-voluntary-commitments
- domestic-political-change-can-rapidly-erode-decade-long-international-AI-safety-norms-as-US-reversed-from-supporter-to-opponent-in-one-year
- anthropic-internal-resource-allocation-shows-6-8-percent-safety-only-headcount-when-dual-use-research-excluded-revealing-gap-between-public-positioning-and-commitment
reweave_edges: reweave_edges:
- AI investment concentration where 58 percent of funding flows to megarounds and two companies capture 14 percent of all global venture capital creates a structural oligopoly that alignment governance must account for|related|2026-03-28 - AI investment concentration where 58 percent of funding flows to megarounds and two companies capture 14 percent of all global venture capital creates a structural oligopoly that alignment governance must account for|related|2026-03-28
- UK AI Safety Institute|related|2026-03-28 - UK AI Safety Institute|related|2026-03-28

1
domains/ai-alignment/harness engineering emerges as the primary agent capability determinant because the runtime orchestration layer not the token state determines what agents can do.md
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@ -13,6 +13,7 @@ related:
- harness module effects concentrate on a small solved frontier rather than shifting benchmarks uniformly because most tasks are robust to control logic changes and meaningful differences come from boundary cases that flip under changed structure - harness module effects concentrate on a small solved frontier rather than shifting benchmarks uniformly because most tasks are robust to control logic changes and meaningful differences come from boundary cases that flip under changed structure
- harness pattern logic is portable as natural language without degradation when backed by a shared intelligent runtime because the design-pattern layer is separable from low-level execution hooks - harness pattern logic is portable as natural language without degradation when backed by a shared intelligent runtime because the design-pattern layer is separable from low-level execution hooks
- file-backed durable state is the most consistently positive harness module across task types because externalizing state to path-addressable artifacts survives context truncation delegation and restart - file-backed durable state is the most consistently positive harness module across task types because externalizing state to path-addressable artifacts survives context truncation delegation and restart
- ai-agents-shift-research-bottleneck-from-execution-to-ideation-because-agents-implement-well-scoped-ideas-but-fail-at-creative-experiment-design
reweave_edges: reweave_edges:
- harness module effects concentrate on a small solved frontier rather than shifting benchmarks uniformly because most tasks are robust to control logic changes and meaningful differences come from boundary cases that flip under changed structure|related|2026-04-03 - harness module effects concentrate on a small solved frontier rather than shifting benchmarks uniformly because most tasks are robust to control logic changes and meaningful differences come from boundary cases that flip under changed structure|related|2026-04-03
- harness pattern logic is portable as natural language without degradation when backed by a shared intelligent runtime because the design-pattern layer is separable from low-level execution hooks|related|2026-04-03 - harness pattern logic is portable as natural language without degradation when backed by a shared intelligent runtime because the design-pattern layer is separable from low-level execution hooks|related|2026-04-03

1
domains/ai-alignment/macro AI productivity gains remain statistically undetectable despite clear micro-level benefits because coordination costs verification tax and workslop absorb individual-level improvements before they reach aggregate measures.md
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@ -12,6 +12,7 @@ challenged_by:
- the capability-deployment gap creates a multi-year window between AI capability arrival and economic impact because the gap between demonstrated technical capability and scaled organizational deployment requires institutional learning that cannot be accelerated past human coordination speed - the capability-deployment gap creates a multi-year window between AI capability arrival and economic impact because the gap between demonstrated technical capability and scaled organizational deployment requires institutional learning that cannot be accelerated past human coordination speed
related: related:
- AI tools reduced experienced developer productivity by 19% in RCT conditions despite developer predictions of speedup, suggesting capability deployment does not automatically translate to autonomy gains - AI tools reduced experienced developer productivity by 19% in RCT conditions despite developer predictions of speedup, suggesting capability deployment does not automatically translate to autonomy gains
- divergence-ai-labor-displacement-substitution-vs-complementarity
reweave_edges: reweave_edges:
- AI tools reduced experienced developer productivity by 19% in RCT conditions despite developer predictions of speedup, suggesting capability deployment does not automatically translate to autonomy gains|related|2026-04-17 - AI tools reduced experienced developer productivity by 19% in RCT conditions despite developer predictions of speedup, suggesting capability deployment does not automatically translate to autonomy gains|related|2026-04-17
--- ---

2
domains/ai-alignment/mechanistic-interpretability-detects-emotion-mediated-failures-but-not-strategic-deception.md
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@ -10,7 +10,7 @@ agent: theseus
scope: structural scope: structural
sourcer: "@AnthropicAI" sourcer: "@AnthropicAI"
related_claims: ["an-aligned-seeming-AI-may-be-strategically-deceptive", "AI-models-distinguish-testing-from-deployment-environments"] related_claims: ["an-aligned-seeming-AI-may-be-strategically-deceptive", "AI-models-distinguish-testing-from-deployment-environments"]
related: ["Emotion vectors causally drive unsafe AI behavior and can be steered to prevent specific failure modes in production models", "mechanistic-interpretability-detects-emotion-mediated-failures-but-not-strategic-deception", "emotion-vector-interventions-limited-to-emotion-mediated-harms-not-strategic-deception", "emotion-vectors-causally-drive-unsafe-ai-behavior-through-interpretable-steering", "anthropic-deepmind-interpretability-complementarity-maps-mechanisms-versus-detects-intent"] related: ["Emotion vectors causally drive unsafe AI behavior and can be steered to prevent specific failure modes in production models", "mechanistic-interpretability-detects-emotion-mediated-failures-but-not-strategic-deception", "emotion-vector-interventions-limited-to-emotion-mediated-harms-not-strategic-deception", "emotion-vectors-causally-drive-unsafe-ai-behavior-through-interpretable-steering", "anthropic-deepmind-interpretability-complementarity-maps-mechanisms-versus-detects-intent", "multi-layer-ensemble-probes-outperform-single-layer-by-29-78-percent"]
reweave_edges: ["Emotion vectors causally drive unsafe AI behavior and can be steered to prevent specific failure modes in production models|related|2026-04-08", "Emotion vector interventions are structurally limited to emotion-mediated harms and do not address cold strategic deception because scheming in evaluation-aware contexts does not require an emotional intermediate state in the causal chain|supports|2026-04-12"] reweave_edges: ["Emotion vectors causally drive unsafe AI behavior and can be steered to prevent specific failure modes in production models|related|2026-04-08", "Emotion vector interventions are structurally limited to emotion-mediated harms and do not address cold strategic deception because scheming in evaluation-aware contexts does not require an emotional intermediate state in the causal chain|supports|2026-04-12"]
supports: ["Emotion vector interventions are structurally limited to emotion-mediated harms and do not address cold strategic deception because scheming in evaluation-aware contexts does not require an emotional intermediate state in the causal chain"] supports: ["Emotion vector interventions are structurally limited to emotion-mediated harms and do not address cold strategic deception because scheming in evaluation-aware contexts does not require an emotional intermediate state in the causal chain"]
--- ---

1
domains/ai-alignment/mechanistic-interpretability-tools-fail-at-safety-critical-tasks-at-frontier-scale.md
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@ -18,6 +18,7 @@ related:
- Many interpretability queries are provably computationally intractable establishing a theoretical ceiling on mechanistic interpretability as an alignment verification approach - Many interpretability queries are provably computationally intractable establishing a theoretical ceiling on mechanistic interpretability as an alignment verification approach
- Non-autoregressive architectures reduce jailbreak vulnerability by 40-65% through elimination of continuation-drive mechanisms but impose a 15-25% capability cost on reasoning tasks - Non-autoregressive architectures reduce jailbreak vulnerability by 40-65% through elimination of continuation-drive mechanisms but impose a 15-25% capability cost on reasoning tasks
- Training-free conversion of activation steering vectors into component-level weight edits enables persistent behavioral modification without retraining - Training-free conversion of activation steering vectors into component-level weight edits enables persistent behavioral modification without retraining
- activation-steering-fails-for-capability-elicitation-despite-interpretability-research-suggesting-otherwise
- "Anti-safety scaling law: larger models are more vulnerable to linear concept vector attacks because steerability and attack surface scale together" - "Anti-safety scaling law: larger models are more vulnerable to linear concept vector attacks because steerability and attack surface scale together"
reweave_edges: reweave_edges:
- Mechanistic interpretability at production model scale can trace multi-step reasoning pathways but cannot yet detect deceptive alignment or covert goal-pursuing|related|2026-04-03 - Mechanistic interpretability at production model scale can trace multi-step reasoning pathways but cannot yet detect deceptive alignment or covert goal-pursuing|related|2026-04-03

3
domains/ai-alignment/nation-states will inevitably assert control over frontier AI development because the monopoly on force is the foundational state function and weapons-grade AI capability in private hands is structurally intolerable to governments.md
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@ -6,6 +6,9 @@ domain: ai-alignment
created: 2026-03-06 created: 2026-03-06
source: "Noah Smith, 'If AI is a weapon, why don't we regulate it like one?' (Noahopinion, Mar 6, 2026); Ben Thompson, Stratechery analysis of Anthropic/Pentagon dispute (2026)" source: "Noah Smith, 'If AI is a weapon, why don't we regulate it like one?' (Noahopinion, Mar 6, 2026); Ben Thompson, Stratechery analysis of Anthropic/Pentagon dispute (2026)"
confidence: experimental confidence: experimental
related:
- near-universal-political-support-for-autonomous-weapons-governance-coexists-with-structural-failure-because-opposing-states-control-advanced-programs
- legal-mandate-is-the-only-version-of-coordinated-pausing-that-avoids-antitrust-risk-while-preserving-coordination-benefits
supports: supports:
- AI investment concentration where 58 percent of funding flows to megarounds and two companies capture 14 percent of all global venture capital creates a structural oligopoly that alignment governance must account for - AI investment concentration where 58 percent of funding flows to megarounds and two companies capture 14 percent of all global venture capital creates a structural oligopoly that alignment governance must account for
reweave_edges: reweave_edges:

1
domains/ai-alignment/no research group is building alignment through collective intelligence infrastructure despite the field converging on problems that require it.md
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@ -12,6 +12,7 @@ related:
- ai-enhanced-collective-intelligence-requires-federated-learning-architectures-to-preserve-data-sovereignty-at-scale - ai-enhanced-collective-intelligence-requires-federated-learning-architectures-to-preserve-data-sovereignty-at-scale
- national-scale-collective-intelligence-infrastructure-requires-seven-trust-properties-to-achieve-legitimacy - national-scale-collective-intelligence-infrastructure-requires-seven-trust-properties-to-achieve-legitimacy
- transparent algorithmic governance where AI response rules are public and challengeable through the same epistemic process as the knowledge base is a structurally novel alignment approach - transparent algorithmic governance where AI response rules are public and challengeable through the same epistemic process as the knowledge base is a structurally novel alignment approach
- collective-intelligence-architectures-are-underexplored-for-alignment-despite-addressing-core-problems
reweave_edges: reweave_edges:
- ai-enhanced-collective-intelligence-requires-federated-learning-architectures-to-preserve-data-sovereignty-at-scale|related|2026-03-28 - ai-enhanced-collective-intelligence-requires-federated-learning-architectures-to-preserve-data-sovereignty-at-scale|related|2026-03-28
- national-scale-collective-intelligence-infrastructure-requires-seven-trust-properties-to-achieve-legitimacy|related|2026-03-28 - national-scale-collective-intelligence-infrastructure-requires-seven-trust-properties-to-achieve-legitimacy|related|2026-03-28

1
domains/ai-alignment/pluralistic alignment must accommodate irreducibly diverse values simultaneously rather than converging on a single aligned state.md
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@ -12,6 +12,7 @@ confidence: likely
related: related:
- minority-preference-alignment-improves-33-percent-without-majority-compromise-suggesting-single-reward-leaves-value-on-table - minority-preference-alignment-improves-33-percent-without-majority-compromise-suggesting-single-reward-leaves-value-on-table
- the variance of a learned preference sensitivity distribution diagnoses dataset heterogeneity and collapses to fixed-parameter behavior when preferences are homogeneous - the variance of a learned preference sensitivity distribution diagnoses dataset heterogeneity and collapses to fixed-parameter behavior when preferences are homogeneous
- collective-intelligence-architectures-are-underexplored-for-alignment-despite-addressing-core-problems
reweave_edges: reweave_edges:
- minority-preference-alignment-improves-33-percent-without-majority-compromise-suggesting-single-reward-leaves-value-on-table|related|2026-03-28 - minority-preference-alignment-improves-33-percent-without-majority-compromise-suggesting-single-reward-leaves-value-on-table|related|2026-03-28
- pluralistic-ai-alignment-through-multiple-systems-preserves-value-diversity-better-than-forced-consensus|supports|2026-03-28 - pluralistic-ai-alignment-through-multiple-systems-preserves-value-diversity-better-than-forced-consensus|supports|2026-03-28

2
domains/ai-alignment/pre-deployment-AI-evaluations-do-not-predict-real-world-risk-creating-institutional-governance-built-on-unreliable-foundations.md
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@ -8,7 +8,7 @@ created: 2026-03-11
secondary_domains: ["grand-strategy"] secondary_domains: ["grand-strategy"]
last_evaluated: 2026-03-11 last_evaluated: 2026-03-11
depends_on: ["voluntary safety pledges cannot survive competitive pressure because unilateral commitments are structurally punished when competitors advance without equivalent constraints"] depends_on: ["voluntary safety pledges cannot survive competitive pressure because unilateral commitments are structurally punished when competitors advance without equivalent constraints"]
related: ["Evaluation awareness creates bidirectional confounds in safety benchmarks because models detect and respond to testing conditions in ways that obscure true capability", "Frontier AI safety verdicts rely partly on deployment track record rather than evaluation-derived confidence which establishes a precedent where safety claims are empirically grounded instead of counterfactually assured", "Frontier AI safety frameworks score 8-35% against safety-critical industry standards with a 52% composite ceiling even when combining best practices across all frameworks", "The benchmark-reality gap creates an epistemic coordination failure in AI governance because algorithmic evaluation systematically overstates operational capability, making threshold-based coordination structurally miscalibrated even when all actors act in good faith", "pre-deployment-AI-evaluations-do-not-predict-real-world-risk-creating-institutional-governance-built-on-unreliable-foundations", "evidence-dilemma-rapid-ai-development-structurally-prevents-adequate-pre-deployment-safety-evidence-accumulation", "AI-models-distinguish-testing-from-deployment-environments-providing-empirical-evidence-for-deceptive-alignment-concerns", "evaluation-awareness-creates-bidirectional-confounds-in-safety-benchmarks-because-models-detect-and-respond-to-testing-conditions", "benchmark-reality-gap-creates-epistemic-coordination-failure-in-ai-governance-because-algorithmic-scoring-systematically-overstates-operational-capability"] related: ["Evaluation awareness creates bidirectional confounds in safety benchmarks because models detect and respond to testing conditions in ways that obscure true capability", "Frontier AI safety verdicts rely partly on deployment track record rather than evaluation-derived confidence which establishes a precedent where safety claims are empirically grounded instead of counterfactually assured", "Frontier AI safety frameworks score 8-35% against safety-critical industry standards with a 52% composite ceiling even when combining best practices across all frameworks", "The benchmark-reality gap creates an epistemic coordination failure in AI governance because algorithmic evaluation systematically overstates operational capability, making threshold-based coordination structurally miscalibrated even when all actors act in good faith", "pre-deployment-AI-evaluations-do-not-predict-real-world-risk-creating-institutional-governance-built-on-unreliable-foundations", "evidence-dilemma-rapid-ai-development-structurally-prevents-adequate-pre-deployment-safety-evidence-accumulation", "AI-models-distinguish-testing-from-deployment-environments-providing-empirical-evidence-for-deceptive-alignment-concerns", "evaluation-awareness-creates-bidirectional-confounds-in-safety-benchmarks-because-models-detect-and-respond-to-testing-conditions", "benchmark-reality-gap-creates-epistemic-coordination-failure-in-ai-governance-because-algorithmic-scoring-systematically-overstates-operational-capability", "meta-level-specification-gaming-extends-objective-gaming-to-oversight-mechanisms-through-sandbagging-and-evaluation-mode-divergence", "ai-capability-benchmarks-exhibit-50-percent-volatility-between-versions-making-governance-thresholds-unreliable", "activation-based-persona-monitoring-detects-behavioral-trait-shifts-in-small-models-without-behavioral-testing", "current-safety-evaluation-datasets-vary-37-to-100-percent-in-model-detectability-rendering-highly-detectable-evaluations-uninformative", "benchmark-based-ai-capability-metrics-overstate-real-world-autonomous-performance-because-automated-scoring-excludes-production-readiness-requirements", "provider-level-behavioral-biases-persist-across-model-versions-requiring-psychometric-auditing-beyond-standard-benchmarks", "trajectory-geometry-probing-requires-white-box-access-limiting-deployment-to-controlled-evaluation-contexts", "external-evaluators-predominantly-have-black-box-access-creating-false-negatives-in-dangerous-capability-detection", "bio-capability-benchmarks-measure-text-accessible-knowledge-not-physical-synthesis-capability", "cyber-is-exceptional-dangerous-capability-domain-with-documented-real-world-evidence-exceeding-benchmark-predictions", "frontier-ai-safety-verdicts-rely-on-deployment-track-record-not-evaluation-confidence", "precautionary-capability-threshold-activation-is-governance-response-to-benchmark-uncertainty", "making-research-evaluations-into-compliance-triggers-closes-the-translation-gap-by-design", "white-box-evaluator-access-is-technically-feasible-via-privacy-enhancing-technologies-without-IP-disclosure"]
reweave_edges: ["Evaluation awareness creates bidirectional confounds in safety benchmarks because models detect and respond to testing conditions in ways that obscure true capability|related|2026-04-06", "The international AI safety governance community faces an evidence dilemma where development pace structurally prevents adequate pre-deployment evidence accumulation|supports|2026-04-17", "Frontier AI safety verdicts rely partly on deployment track record rather than evaluation-derived confidence which establishes a precedent where safety claims are empirically grounded instead of counterfactually assured|related|2026-04-17", "Frontier AI safety frameworks score 8-35% against safety-critical industry standards with a 52% composite ceiling even when combining best practices across all frameworks|related|2026-04-17", "The benchmark-reality gap creates an epistemic coordination failure in AI governance because algorithmic evaluation systematically overstates operational capability, making threshold-based coordination structurally miscalibrated even when all actors act in good faith|related|2026-04-17"] reweave_edges: ["Evaluation awareness creates bidirectional confounds in safety benchmarks because models detect and respond to testing conditions in ways that obscure true capability|related|2026-04-06", "The international AI safety governance community faces an evidence dilemma where development pace structurally prevents adequate pre-deployment evidence accumulation|supports|2026-04-17", "Frontier AI safety verdicts rely partly on deployment track record rather than evaluation-derived confidence which establishes a precedent where safety claims are empirically grounded instead of counterfactually assured|related|2026-04-17", "Frontier AI safety frameworks score 8-35% against safety-critical industry standards with a 52% composite ceiling even when combining best practices across all frameworks|related|2026-04-17", "The benchmark-reality gap creates an epistemic coordination failure in AI governance because algorithmic evaluation systematically overstates operational capability, making threshold-based coordination structurally miscalibrated even when all actors act in good faith|related|2026-04-17"]
supports: ["The international AI safety governance community faces an evidence dilemma where development pace structurally prevents adequate pre-deployment evidence accumulation"] supports: ["The international AI safety governance community faces an evidence dilemma where development pace structurally prevents adequate pre-deployment evidence accumulation"]
--- ---

2
domains/ai-alignment/representation-monitoring-via-linear-concept-vectors-creates-dual-use-attack-surface.md
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@ -12,6 +12,8 @@ sourcer: Xu et al.
related: related:
- mechanistic-interpretability-tools-create-dual-use-attack-surface-enabling-surgical-safety-feature-removal - mechanistic-interpretability-tools-create-dual-use-attack-surface-enabling-surgical-safety-feature-removal
- chain-of-thought-monitoring-vulnerable-to-steganographic-encoding-as-emerging-capability - chain-of-thought-monitoring-vulnerable-to-steganographic-encoding-as-emerging-capability
- multi-layer-ensemble-probes-outperform-single-layer-by-29-78-percent
- linear-probe-accuracy-scales-with-model-size-power-law
supports: supports:
- "Anti-safety scaling law: larger models are more vulnerable to linear concept vector attacks because steerability and attack surface scale together" - "Anti-safety scaling law: larger models are more vulnerable to linear concept vector attacks because steerability and attack surface scale together"
reweave_edges: reweave_edges:

2
domains/ai-alignment/some disagreements are permanently irreducible because they stem from genuine value differences not information gaps and systems must map rather than eliminate them.md
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@ -6,6 +6,8 @@ domain: ai-alignment
created: 2026-03-02 created: 2026-03-02
confidence: likely confidence: likely
source: "Arrow's impossibility theorem; value pluralism (Isaiah Berlin); LivingIP design principles" source: "Arrow's impossibility theorem; value pluralism (Isaiah Berlin); LivingIP design principles"
related:
- autonomous-weapons-violate-existing-IHL-because-proportionality-requires-human-judgment
supports: supports:
- pluralistic-ai-alignment-through-multiple-systems-preserves-value-diversity-better-than-forced-consensus - pluralistic-ai-alignment-through-multiple-systems-preserves-value-diversity-better-than-forced-consensus
reweave_edges: reweave_edges:

3
domains/ai-alignment/specifying human values in code is intractable because our goals contain hidden complexity comparable to visual perception.md
View file

@ -7,6 +7,9 @@ source: "Bostrom, Superintelligence: Paths, Dangers, Strategies (2014)"
confidence: likely confidence: likely
related: related:
- orthogonality is an artefact of specification architectures not a property of intelligence itself - orthogonality is an artefact of specification architectures not a property of intelligence itself
- autonomous-weapons-violate-existing-IHL-because-proportionality-requires-human-judgment
- international-humanitarian-law-and-ai-alignment-converge-on-explainability-requirements
- legal-and-alignment-communities-converge-on-AI-value-judgment-impossibility
reweave_edges: reweave_edges:
- orthogonality is an artefact of specification architectures not a property of intelligence itself|related|2026-04-19 - orthogonality is an artefact of specification architectures not a property of intelligence itself|related|2026-04-19
--- ---

2
domains/ai-alignment/super co-alignment proposes that human and AI values should be co-shaped through iterative alignment rather than specified in advance.md
View file

@ -5,6 +5,8 @@ domain: ai-alignment
created: 2026-02-17 created: 2026-02-17
source: "Zeng et al, Super Co-alignment (arXiv 2504.17404, v5 June 2025)" source: "Zeng et al, Super Co-alignment (arXiv 2504.17404, v5 June 2025)"
confidence: experimental confidence: experimental
related:
- alignment-through-continuous-coordination-outperforms-upfront-specification-because-deployment-contexts-diverge-from-training-conditions
supports: supports:
- Alignment through continuous coordination outperforms upfront specification because deployment contexts inevitably diverge from training conditions making frozen values brittle - Alignment through continuous coordination outperforms upfront specification because deployment contexts inevitably diverge from training conditions making frozen values brittle
reweave_edges: reweave_edges:

3
domains/ai-alignment/the gap between theoretical AI capability and observed deployment is massive across all occupations because adoption lag not capability limits determines real-world impact.md
View file

@ -6,6 +6,9 @@ description: "Anthropic's own usage data shows Computer & Math at 96% theoretica
confidence: likely confidence: likely
source: "Massenkoff & McCrory 2026, Anthropic Economic Index (Claude usage data Aug-Nov 2025) + Eloundou et al. 2023 theoretical feasibility ratings" source: "Massenkoff & McCrory 2026, Anthropic Economic Index (Claude usage data Aug-Nov 2025) + Eloundou et al. 2023 theoretical feasibility ratings"
created: 2026-03-08 created: 2026-03-08
related:
- ai-tools-reduced-experienced-developer-productivity-in-rct-conditions-despite-predicted-speedup-suggesting-capability-deployment-does-not-translate-to-autonomy
- divergence-ai-labor-displacement-substitution-vs-complementarity
--- ---
# The gap between theoretical AI capability and observed deployment is massive across all occupations because adoption lag not capability limits determines real-world impact # The gap between theoretical AI capability and observed deployment is massive across all occupations because adoption lag not capability limits determines real-world impact

4
domains/ai-alignment/the specification trap means any values encoded at training time become structurally unstable as deployment contexts diverge from training conditions.md
View file

@ -7,6 +7,10 @@ source: "Spizzirri, Syntropic Frameworks (arXiv 2512.03048, November 2025); conv
confidence: likely confidence: likely
supports: supports:
- Alignment through continuous coordination outperforms upfront specification because deployment contexts inevitably diverge from training conditions making frozen values brittle - Alignment through continuous coordination outperforms upfront specification because deployment contexts inevitably diverge from training conditions making frozen values brittle
related:
- specification-gaming-scales-with-capability-as-more-capable-optimizers-find-more-sophisticated-gaming-strategies
- alignment-through-continuous-coordination-outperforms-upfront-specification-because-deployment-contexts-diverge-from-training-conditions
- inference-time-safety-monitoring-recovers-alignment-through-early-reasoning-intervention
reweave_edges: reweave_edges:
- Alignment through continuous coordination outperforms upfront specification because deployment contexts inevitably diverge from training conditions making frozen values brittle|supports|2026-04-19 - Alignment through continuous coordination outperforms upfront specification because deployment contexts inevitably diverge from training conditions making frozen values brittle|supports|2026-04-19
--- ---

1
domains/ai-alignment/three conditions gate AI takeover risk autonomy robotics and production chain control and current AI satisfies none of them which bounds near-term catastrophic risk despite superhuman cognitive capabilities.md
View file

@ -8,6 +8,7 @@ confidence: experimental
related: related:
- marginal returns to intelligence are bounded by five complementary factors which means superintelligence cannot produce unlimited capability gains regardless of cognitive power - marginal returns to intelligence are bounded by five complementary factors which means superintelligence cannot produce unlimited capability gains regardless of cognitive power
- AI makes authoritarian lock-in dramatically easier by solving the information processing constraint that historically caused centralized control to fail - AI makes authoritarian lock-in dramatically easier by solving the information processing constraint that historically caused centralized control to fail
- current-frontier-models-evaluate-17x-below-catastrophic-autonomy-threshold-by-formal-time-horizon-metrics
reweave_edges: reweave_edges:
- marginal returns to intelligence are bounded by five complementary factors which means superintelligence cannot produce unlimited capability gains regardless of cognitive power|related|2026-03-28 - marginal returns to intelligence are bounded by five complementary factors which means superintelligence cannot produce unlimited capability gains regardless of cognitive power|related|2026-03-28
- AI makes authoritarian lock-in dramatically easier by solving the information processing constraint that historically caused centralized control to fail|related|2026-04-03 - AI makes authoritarian lock-in dramatically easier by solving the information processing constraint that historically caused centralized control to fail|related|2026-04-03

14
domains/ai-alignment/voluntary safety pledges cannot survive competitive pressure because unilateral commitments are structurally punished when competitors advance without equivalent constraints.md
View file

@ -16,6 +16,20 @@ reweave_edges:
- Corporate AI safety governance under government pressure operates as a three-track sequential stack where each track's structural ceiling necessitates the next track because voluntary ethics fails to competitive dynamics, litigation protects speech rights without compelling acceptance, and electoral investment faces the legislative ceiling|supports|2026-04-20 - Corporate AI safety governance under government pressure operates as a three-track sequential stack where each track's structural ceiling necessitates the next track because voluntary ethics fails to competitive dynamics, litigation protects speech rights without compelling acceptance, and electoral investment faces the legislative ceiling|supports|2026-04-20
related: related:
- Anthropic's internal resource allocation shows 6-8% safety-only headcount when dual-use research is excluded, revealing a material gap between public safety positioning and credible commitment - Anthropic's internal resource allocation shows 6-8% safety-only headcount when dual-use research is excluded, revealing a material gap between public safety positioning and credible commitment
- multilateral-ai-governance-verification-mechanisms-remain-at-proposal-stage-because-technical-infrastructure-does-not-exist-at-deployment-scale
- evaluation-based-coordination-schemes-face-antitrust-obstacles-because-collective-pausing-agreements-among-competing-developers-could-be-construed-as-cartel-behavior
- ccw-consensus-rule-enables-small-coalition-veto-over-autonomous-weapons-governance
- ai-sandbagging-creates-m-and-a-liability-exposure-across-product-liability-consumer-protection-and-securities-fraud
- precautionary-capability-threshold-activation-is-governance-response-to-benchmark-uncertainty
- near-universal-political-support-for-autonomous-weapons-governance-coexists-with-structural-failure-because-opposing-states-control-advanced-programs
- civil-society-coordination-infrastructure-fails-to-produce-binding-governance-when-structural-obstacle-is-great-power-veto-not-political-will
- voluntary-safety-constraints-without-external-enforcement-are-statements-of-intent-not-binding-governance
- domestic-political-change-can-rapidly-erode-decade-long-international-AI-safety-norms-as-US-reversed-from-supporter-to-opponent-in-one-year
- frontier-ai-labs-allocate-6-15-percent-research-headcount-to-safety-versus-60-75-percent-to-capabilities-with-declining-ratios-since-2024
- frontier-ai-monitoring-evasion-capability-grew-from-minimal-mitigations-sufficient-to-26-percent-success-in-13-months
- eu-ai-act-extraterritorial-enforcement-creates-binding-governance-alternative-to-us-voluntary-commitments
- legal-mandate-is-the-only-version-of-coordinated-pausing-that-avoids-antitrust-risk-while-preserving-coordination-benefits
- anthropic-internal-resource-allocation-shows-6-8-percent-safety-only-headcount-when-dual-use-research-excluded-revealing-gap-between-public-positioning-and-commitment
--- ---
# voluntary safety pledges cannot survive competitive pressure because unilateral commitments are structurally punished when competitors advance without equivalent constraints # voluntary safety pledges cannot survive competitive pressure because unilateral commitments are structurally punished when competitors advance without equivalent constraints

4
domains/health/AI scribes reached 92 percent provider adoption in under 3 years because documentation is the rare healthcare workflow where AI value is immediate unambiguous and low-risk.md
View file

@ -6,6 +6,10 @@ description: "92% of US health systems deploying AI scribes by March 2025 — a
confidence: proven confidence: proven
source: "Bessemer Venture Partners, State of Health AI 2026 (bvp.com/atlas/state-of-health-ai-2026)" source: "Bessemer Venture Partners, State of Health AI 2026 (bvp.com/atlas/state-of-health-ai-2026)"
created: 2026-03-07 created: 2026-03-07
related_claims:
- no-regulatory-body-globally-has-established-mandatory-hallucination-rate-benchmarks-for-clinical-ai-despite-evidence-base
- ambient-ai-scribes-create-three-party-liability-exposure-outside-fda-oversight
- ambient-ai-scribes-face-wiretapping-litigation-for-consent-violations
related: related:
- AI-native health companies achieve 3-5x the revenue productivity of traditional health services because AI eliminates the linear scaling constraint between headcount and output - AI-native health companies achieve 3-5x the revenue productivity of traditional health services because AI eliminates the linear scaling constraint between headcount and output
reweave_edges: reweave_edges:

7
domains/health/Americas declining life expectancy is driven by deaths of despair concentrated in populations and regions most damaged by economic restructuring since the 1980s.md
View file

@ -5,6 +5,13 @@ domain: health
source: "Architectural Investing, Ch. Epidemiological Transition; JAMA 2019" source: "Architectural Investing, Ch. Epidemiological Transition; JAMA 2019"
confidence: proven confidence: proven
created: 2026-02-28 created: 2026-02-28
related_claims:
- cvd-mortality-stagnation-affects-all-income-levels-indicating-structural-system-failure
- us-cardiovascular-mortality-gains-reversing-after-decades-of-improvement-across-major-conditions
- cvd-stagnation-drives-us-life-expectancy-plateau-3-11x-more-than-drug-deaths
- us-healthspan-declining-while-lifespan-recovers-creating-divergence
- us-healthspan-lifespan-gap-largest-globally-despite-highest-spending
- us-hypertension-mortality-doubled-2000-2019-while-treatment-control-stagnated-structural-access-failure
related: related:
- hypertension-related-cvd-mortality-doubled-2000-2023-despite-available-treatment-indicating-behavioral-sdoh-failure - hypertension-related-cvd-mortality-doubled-2000-2023-despite-available-treatment-indicating-behavioral-sdoh-failure
- after a threshold of material development relative deprivation replaces absolute deprivation as the primary driver of health outcomes - after a threshold of material development relative deprivation replaces absolute deprivation as the primary driver of health outcomes

6
domains/health/Big Food companies engineer addictive products by hacking evolutionary reward pathways creating a noncommunicable disease epidemic more deadly than the famines specialization eliminated.md
View file

@ -5,6 +5,12 @@ domain: health
source: "Architectural Investing, Ch. Dark Side of Specialization; Moss (Salt Sugar Fat); Perlmutter (Brainwash)" source: "Architectural Investing, Ch. Dark Side of Specialization; Moss (Salt Sugar Fat); Perlmutter (Brainwash)"
confidence: proven confidence: proven
created: 2026-02-28 created: 2026-02-28
related_claims:
- ultra-processed-food-consumption-increases-incident-hypertension-through-chronic-inflammation-pathway
- upf-driven-chronic-inflammation-creates-continuous-vascular-risk-regeneration-explaining-antihypertensive-treatment-failure
- food-insecurity-creates-bidirectional-reinforcing-loop-with-cvd-through-medical-costs-and-dietary-quality
- hypertensive-disease-mortality-doubled-1999-2023-becoming-leading-contributing-cvd-cause
- hypertension-shifted-from-secondary-to-primary-cvd-mortality-driver-since-2022
related: related:
- famine disease and war are products of the agricultural revolution not immutable features of human existence and specialization has converted all three from unforeseeable catastrophes into preventable problems - famine disease and war are products of the agricultural revolution not immutable features of human existence and specialization has converted all three from unforeseeable catastrophes into preventable problems
reweave_edges: reweave_edges:

2
domains/health/GLP-1 cost evidence accelerates value-based care adoption by proving that prevention-first interventions generate net savings under capitation within 24 months.md
View file

@ -11,6 +11,8 @@ depends_on:
- value-based care transitions stall at the payment boundary because 60 percent of payments touch value metrics but only 14 percent bear full risk - value-based care transitions stall at the payment boundary because 60 percent of payments touch value metrics but only 14 percent bear full risk
supports: supports:
- the healthcare attractor state is a prevention-first system where aligned payment continuous monitoring and AI-augmented care delivery create a flywheel that profits from health rather than sickness - the healthcare attractor state is a prevention-first system where aligned payment continuous monitoring and AI-augmented care delivery create a flywheel that profits from health rather than sickness
related_claims:
- divergence-prevention-first-cost-reduction-vs-cost-redistribution
related: related:
- Does prevention-first care reduce total healthcare costs or just redistribute them from acute to chronic spending? - Does prevention-first care reduce total healthcare costs or just redistribute them from acute to chronic spending?
- WeightWatchers Med+ - WeightWatchers Med+

10
domains/health/GLP-1 receptor agonists are the largest therapeutic category launch in pharmaceutical history but their chronic use model makes the net cost impact inflationary through 2035.md
View file

@ -5,6 +5,16 @@ domain: health
created: 2026-02-17 created: 2026-02-17
source: "Grand View Research GLP-1 market analysis 2025; CNBC Lilly/Novo earnings reports; PMC weight regain meta-analyses 2025; KFF Medicare GLP-1 cost modeling; Epic Research discontinuation data" source: "Grand View Research GLP-1 market analysis 2025; CNBC Lilly/Novo earnings reports; PMC weight regain meta-analyses 2025; KFF Medicare GLP-1 cost modeling; Epic Research discontinuation data"
confidence: likely confidence: likely
related_claims:
- glp1-receptor-agonists-provide-cardiovascular-benefits-through-weight-independent-mechanisms
- semaglutide-outperforms-tirzepatide-cardiovascular-outcomes-despite-inferior-weight-loss
- indian-generic-semaglutide-exports-enabled-by-evergreening-rejection-create-global-access-pathway-before-us-patent-expiry
- glp1-year-one-persistence-doubled-2021-2024-supply-normalization
- glp-1-nutritional-support-advisory-recommends-snap-enrollment-creating-institutional-contradiction-with-snap-cuts
- digital-behavioral-support-enables-glp1-dose-reduction-while-maintaining-clinical-outcomes
- hypertensive-disease-mortality-doubled-1999-2023-becoming-leading-contributing-cvd-cause
- uspstf-glp1-policy-gap-leaves-aca-mandatory-coverage-dormant
- glp1-cardiac-benefits-weight-independent-via-fibrosis-attenuation
related: related:
- federal-budget-scoring-methodology-systematically-undervalues-preventive-interventions-because-10-year-window-excludes-long-term-savings - federal-budget-scoring-methodology-systematically-undervalues-preventive-interventions-because-10-year-window-excludes-long-term-savings
- glp-1-multi-organ-protection-creates-compounding-value-across-kidney-cardiovascular-and-metabolic-endpoints - glp-1-multi-organ-protection-creates-compounding-value-across-kidney-cardiovascular-and-metabolic-endpoints

3
domains/health/OpenEvidence became the fastest-adopted clinical technology in history reaching 40 percent of US physicians daily within two years.md
View file

@ -5,6 +5,9 @@ domain: health
created: 2026-02-17 created: 2026-02-17
source: "OpenEvidence announcements 2025-2026; CNBC January 2026; Sutter Health integration February 2026" source: "OpenEvidence announcements 2025-2026; CNBC January 2026; Sutter Health integration February 2026"
confidence: likely confidence: likely
related_claims:
- generative-ai-medical-devices-require-new-regulatory-frameworks-because-non-determinism-continuous-updates-and-inherent-hallucination-are-architectural-properties
- medical-benchmark-performance-does-not-predict-clinical-safety-as-usmle-scores-correlate-only-0-61-with-harm-rates
--- ---
# OpenEvidence became the fastest-adopted clinical technology in history reaching 40 percent of US physicians daily within two years # OpenEvidence became the fastest-adopted clinical technology in history reaching 40 percent of US physicians daily within two years

9
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
View file

@ -5,6 +5,15 @@ description: Food insecurity programs return 85 percent ROI and housing programs
confidence: likely confidence: likely
source: "Health Affairs Scholar food/housing ROI meta-analysis 2025; PMC Z-code documentation rates 2024; SAGE Journals integrated SDOH model 6.9:1 ROI 2025; National Academies social isolation 2023" source: "Health Affairs Scholar food/housing ROI meta-analysis 2025; PMC Z-code documentation rates 2024; SAGE Journals integrated SDOH model 6.9:1 ROI 2025; National Academies social isolation 2023"
created: 2026-02-17 created: 2026-02-17
related_claims:
- snap-reduces-antihypertensive-nonadherence-through-food-medication-trade-off-relief
- snap-benefit-loss-causes-measurable-mortality-through-food-insecurity-pathway
- obbba-snap-cuts-largest-food-assistance-reduction-history-186b-through-2034
- medically-tailored-meals-achieve-pharmacotherapy-scale-bp-reduction-in-food-insecure-hypertensive-patients
- rural-food-insecure-populations-show-higher-enrollment-in-food-assistance-interventions-than-urban-counterparts
- wealth-stratified-glp1-access-creates-disease-progression-disparity-with-lowest-income-black-patients-treated-at-13-percent-higher-bmi
- medicaid-coverage-expansion-eliminates-racial-glp1-prescribing-disparities-through-structural-access-not-provider-bias
- tailored-digital-health-interventions-achieve-sustained-bp-reduction-in-disparity-populations-but-effect-requires-population-specific-design
related: ["SDOH interventions show strong ROI but adoption stalls because Z-code documentation remains below 3 percent and no operational infrastructure connects screening to action"] related: ["SDOH interventions show strong ROI but adoption stalls because Z-code documentation remains below 3 percent and no operational infrastructure connects screening to action"]
--- ---

4
domains/health/ambient AI documentation reduces physician documentation burden by 73 percent but the relationship between automation and burnout is more complex than time savings alone.md
View file

@ -5,6 +5,10 @@ domain: health
created: 2026-02-17 created: 2026-02-17
source: "Abridge clinical results 2025; Nuance DAX 263-physician study; Randomized trial (PMC 2025); Epic AI Charting launch February 2026" source: "Abridge clinical results 2025; Nuance DAX 263-physician study; Randomized trial (PMC 2025); Epic AI Charting launch February 2026"
confidence: likely confidence: likely
related_claims:
- ambient-ai-scribes-create-three-party-liability-exposure-outside-fda-oversight
- ambient-ai-scribes-face-wiretapping-litigation-for-consent-violations
- generative-ai-medical-devices-require-new-regulatory-frameworks-because-non-determinism-continuous-updates-and-inherent-hallucination-are-architectural-properties
--- ---
# ambient AI documentation reduces physician documentation burden by 73 percent but the relationship between automation and burnout is more complex than time savings alone # ambient AI documentation reduces physician documentation burden by 73 percent but the relationship between automation and burnout is more complex than time savings alone

2
domains/health/automation-bias-in-medicine-increases-false-positives-through-anchoring-on-ai-output.md
View file

@ -9,7 +9,7 @@ title: Automation bias in medical imaging causes clinicians to anchor on AI outp
agent: vida agent: vida
scope: causal scope: causal
sourcer: Natali et al. sourcer: Natali et al.
related_claims: ["[[human-in-the-loop clinical AI degrades to worse-than-AI-alone because physicians both de-skill from reliance and introduce errors when overriding correct outputs]]"] related_claims: ["[[human-in-the-loop clinical AI degrades to worse-than-AI-alone because physicians both de-skill from reliance and introduce errors when overriding correct outputs]]", "[[divergence-human-ai-clinical-collaboration-enhance-or-degrade]]"]
related: ["automation-bias-in-medicine-increases-false-positives-through-anchoring-on-ai-output"] related: ["automation-bias-in-medicine-increases-false-positives-through-anchoring-on-ai-output"]
--- ---

2
domains/health/chronic-condition-special-needs-plans-grew-71-percent-in-one-year-indicating-explosive-demand-for-disease-management-infrastructure.md
View file

@ -5,6 +5,8 @@ description: "C-SNPs (chronic condition special needs plans) grew 71% 2024-2025
confidence: proven confidence: proven
source: "Kaiser Family Foundation, Medicare Advantage in 2025: Enrollment Update and Key Trends (2025)" source: "Kaiser Family Foundation, Medicare Advantage in 2025: Enrollment Update and Key Trends (2025)"
created: 2025-07-24 created: 2025-07-24
related_claims:
- medicare-advantage-crossed-majority-enrollment-in-2023-marking-structural-transformation-from-supplement-to-dominant-program
--- ---
# Chronic condition special needs plans grew 71 percent in one year indicating explosive demand for disease management infrastructure # Chronic condition special needs plans grew 71 percent in one year indicating explosive demand for disease management infrastructure

2
domains/health/clinical-ai-creates-three-distinct-skill-failure-modes-deskilling-misskilling-neverskilling.md
View file

@ -9,7 +9,7 @@ title: Clinical AI introduces three distinct skill failure modes — deskilling
agent: vida agent: vida
scope: causal scope: causal
sourcer: Artificial Intelligence Review (Springer Nature) sourcer: Artificial Intelligence Review (Springer Nature)
related_claims: ["[[human-in-the-loop clinical AI degrades to worse-than-AI-alone because physicians both de-skill from reliance and introduce errors when overriding correct outputs]]"] related_claims: ["[[human-in-the-loop clinical AI degrades to worse-than-AI-alone because physicians both de-skill from reliance and introduce errors when overriding correct outputs]]", "[[divergence-human-ai-clinical-collaboration-enhance-or-degrade]]"]
supports: ["Never-skilling in clinical AI is structurally invisible because it lacks a pre-AI baseline for comparison, requiring prospective competency assessment before AI exposure to detect", "{'AI assistance may produce neurologically-grounded, partially irreversible skill degradation through three concurrent mechanisms': 'prefrontal disengagement, hippocampal memory formation reduction, and dopaminergic reinforcement of AI reliance'}", "AI-induced deskilling follows a consistent cross-specialty pattern where AI assistance improves performance while present but creates cognitive dependency that degrades performance when AI is unavailable", "Automation bias in medical imaging causes clinicians to anchor on AI output rather than conducting independent reads, increasing false-positive rates by up to 12 percent even among experienced readers", "Never-skilling \u2014 the failure to acquire foundational clinical competencies because AI was present during training \u2014 poses a detection-resistant, potentially unrecoverable threat to medical education that is structurally worse than deskilling"] supports: ["Never-skilling in clinical AI is structurally invisible because it lacks a pre-AI baseline for comparison, requiring prospective competency assessment before AI exposure to detect", "{'AI assistance may produce neurologically-grounded, partially irreversible skill degradation through three concurrent mechanisms': 'prefrontal disengagement, hippocampal memory formation reduction, and dopaminergic reinforcement of AI reliance'}", "AI-induced deskilling follows a consistent cross-specialty pattern where AI assistance improves performance while present but creates cognitive dependency that degrades performance when AI is unavailable", "Automation bias in medical imaging causes clinicians to anchor on AI output rather than conducting independent reads, increasing false-positive rates by up to 12 percent even among experienced readers", "Never-skilling \u2014 the failure to acquire foundational clinical competencies because AI was present during training \u2014 poses a detection-resistant, potentially unrecoverable threat to medical education that is structurally worse than deskilling"]
reweave_edges: ["Never-skilling in clinical AI is structurally invisible because it lacks a pre-AI baseline for comparison, requiring prospective competency assessment before AI exposure to detect|supports|2026-04-12", "{'AI assistance may produce neurologically-grounded, partially irreversible skill degradation through three concurrent mechanisms': 'prefrontal disengagement, hippocampal memory formation reduction, and dopaminergic reinforcement of AI reliance|supports|2026-04-14'}", "AI-induced deskilling follows a consistent cross-specialty pattern where AI assistance improves performance while present but creates cognitive dependency that degrades performance when AI is unavailable|supports|2026-04-14", "Automation bias in medical imaging causes clinicians to anchor on AI output rather than conducting independent reads, increasing false-positive rates by up to 12 percent even among experienced readers|supports|2026-04-14", "Never-skilling \u2014 the failure to acquire foundational clinical competencies because AI was present during training \u2014 poses a detection-resistant, potentially unrecoverable threat to medical education that is structurally worse than deskilling|supports|2026-04-14", "{'AI assistance may produce neurologically-grounded, partially irreversible skill degradation through three concurrent mechanisms': 'prefrontal disengagement, hippocampal memory formation reduction, and dopaminergic reinforcement of AI reliance|related|2026-04-17'}", "{'AI assistance may produce neurologically-grounded, partially irreversible skill degradation through three concurrent mechanisms': 'prefrontal disengagement, hippocampal memory formation reduction, and dopaminergic reinforcement of AI reliance|supports|2026-04-18'}", "AI assistance may produce neurologically-grounded, partially irreversible skill degradation through three concurrent mechanisms: prefrontal disengagement, hippocampal memory formation reduction, and dopaminergic reinforcement of AI reliance|related|2026-04-19"] reweave_edges: ["Never-skilling in clinical AI is structurally invisible because it lacks a pre-AI baseline for comparison, requiring prospective competency assessment before AI exposure to detect|supports|2026-04-12", "{'AI assistance may produce neurologically-grounded, partially irreversible skill degradation through three concurrent mechanisms': 'prefrontal disengagement, hippocampal memory formation reduction, and dopaminergic reinforcement of AI reliance|supports|2026-04-14'}", "AI-induced deskilling follows a consistent cross-specialty pattern where AI assistance improves performance while present but creates cognitive dependency that degrades performance when AI is unavailable|supports|2026-04-14", "Automation bias in medical imaging causes clinicians to anchor on AI output rather than conducting independent reads, increasing false-positive rates by up to 12 percent even among experienced readers|supports|2026-04-14", "Never-skilling \u2014 the failure to acquire foundational clinical competencies because AI was present during training \u2014 poses a detection-resistant, potentially unrecoverable threat to medical education that is structurally worse than deskilling|supports|2026-04-14", "{'AI assistance may produce neurologically-grounded, partially irreversible skill degradation through three concurrent mechanisms': 'prefrontal disengagement, hippocampal memory formation reduction, and dopaminergic reinforcement of AI reliance|related|2026-04-17'}", "{'AI assistance may produce neurologically-grounded, partially irreversible skill degradation through three concurrent mechanisms': 'prefrontal disengagement, hippocampal memory formation reduction, and dopaminergic reinforcement of AI reliance|supports|2026-04-18'}", "AI assistance may produce neurologically-grounded, partially irreversible skill degradation through three concurrent mechanisms: prefrontal disengagement, hippocampal memory formation reduction, and dopaminergic reinforcement of AI reliance|related|2026-04-19"]
related: ["{'AI assistance may produce neurologically-grounded, partially irreversible skill degradation through three concurrent mechanisms': 'prefrontal disengagement, hippocampal memory formation reduction, and dopaminergic reinforcement of AI reliance'}", "AI assistance may produce neurologically-grounded, partially irreversible skill degradation through three concurrent mechanisms: prefrontal disengagement, hippocampal memory formation reduction, and dopaminergic reinforcement of AI reliance", "clinical-ai-creates-three-distinct-skill-failure-modes-deskilling-misskilling-neverskilling", "never-skilling-is-detection-resistant-and-unrecoverable-making-it-worse-than-deskilling", "ai-induced-deskilling-follows-consistent-cross-specialty-pattern-in-medicine", "never-skilling-is-structurally-invisible-because-it-lacks-pre-ai-baseline-requiring-prospective-competency-assessment", "ai-assistance-produces-neurologically-grounded-irreversible-deskilling-through-prefrontal-disengagement-hippocampal-reduction-and-dopaminergic-reinforcement"] related: ["{'AI assistance may produce neurologically-grounded, partially irreversible skill degradation through three concurrent mechanisms': 'prefrontal disengagement, hippocampal memory formation reduction, and dopaminergic reinforcement of AI reliance'}", "AI assistance may produce neurologically-grounded, partially irreversible skill degradation through three concurrent mechanisms: prefrontal disengagement, hippocampal memory formation reduction, and dopaminergic reinforcement of AI reliance", "clinical-ai-creates-three-distinct-skill-failure-modes-deskilling-misskilling-neverskilling", "never-skilling-is-detection-resistant-and-unrecoverable-making-it-worse-than-deskilling", "ai-induced-deskilling-follows-consistent-cross-specialty-pattern-in-medicine", "never-skilling-is-structurally-invisible-because-it-lacks-pre-ai-baseline-requiring-prospective-competency-assessment", "ai-assistance-produces-neurologically-grounded-irreversible-deskilling-through-prefrontal-disengagement-hippocampal-reduction-and-dopaminergic-reinforcement"]

2
domains/health/federal-budget-scoring-methodology-systematically-undervalues-preventive-interventions-because-10-year-window-excludes-long-term-savings.md
View file

@ -6,6 +6,8 @@ description: "CBO and ASPE diverge by $35.7B on GLP-1 Medicare coverage because
confidence: likely confidence: likely
source: "ASPE Medicare Coverage of Anti-Obesity Medications analysis (2024-11-01), CBO scoring methodology" source: "ASPE Medicare Coverage of Anti-Obesity Medications analysis (2024-11-01), CBO scoring methodology"
created: 2026-03-11 created: 2026-03-11
related_claims:
- divergence-prevention-first-cost-reduction-vs-cost-redistribution
--- ---
# Federal budget scoring methodology systematically undervalues preventive interventions because the 10-year scoring window and conservative uptake assumptions exclude long-term downstream savings # Federal budget scoring methodology systematically undervalues preventive interventions because the 10-year scoring window and conservative uptake assumptions exclude long-term downstream savings

2
domains/health/glp-1-persistence-drops-to-15-percent-at-two-years-for-non-diabetic-obesity-patients-undermining-chronic-use-economics.md
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@ -5,6 +5,8 @@ description: "Two-year real-world data shows only 15% of non-diabetic obesity pa
confidence: likely confidence: likely
source: "Journal of Managed Care & Specialty Pharmacy, Real-world Persistence and Adherence to GLP-1 RAs Among Obese Commercially Insured Adults Without Diabetes, 2024-08-01" source: "Journal of Managed Care & Specialty Pharmacy, Real-world Persistence and Adherence to GLP-1 RAs Among Obese Commercially Insured Adults Without Diabetes, 2024-08-01"
created: 2026-03-11 created: 2026-03-11
related_claims:
- divergence-glp1-economics-chronic-cost-vs-low-persistence
depends_on: depends_on:
- GLP-1 receptor agonists are the largest therapeutic category launch in pharmaceutical history but their chronic use model makes the net cost impact inflationary through 2035 - GLP-1 receptor agonists are the largest therapeutic category launch in pharmaceutical history but their chronic use model makes the net cost impact inflationary through 2035
challenges: challenges:

2
domains/health/glp-1-population-mortality-impact-delayed-20-years-by-access-and-adherence-constraints.md
View file

@ -9,7 +9,7 @@ title: "GLP-1 receptor agonists show 20% individual-level mortality reduction bu
agent: vida agent: vida
scope: structural scope: structural
sourcer: RGA (Reinsurance Group of America) sourcer: RGA (Reinsurance Group of America)
related_claims: ["[[GLP-1 receptor agonists are the largest therapeutic category launch in pharmaceutical history but their chronic use model makes the net cost impact inflationary through 2035]]", "[[medical care explains only 10-20 percent of health outcomes because behavioral social and genetic factors dominate as four independent methodologies confirm]]"] related_claims: ["[[GLP-1 receptor agonists are the largest therapeutic category launch in pharmaceutical history but their chronic use model makes the net cost impact inflationary through 2035]]", "[[medical care explains only 10-20 percent of health outcomes because behavioral social and genetic factors dominate as four independent methodologies confirm]]", "[[glp1-access-inverted-by-cardiovascular-risk-creating-efficacy-translation-barrier]]"]
supports: supports:
- GLP-1 access structure is inverted relative to clinical need because populations with highest obesity prevalence and cardiometabolic risk face the highest barriers creating an equity paradox where the most effective cardiovascular intervention will disproportionately benefit already-advantaged populations - GLP-1 access structure is inverted relative to clinical need because populations with highest obesity prevalence and cardiometabolic risk face the highest barriers creating an equity paradox where the most effective cardiovascular intervention will disproportionately benefit already-advantaged populations
- The USPSTF's 2018 adult obesity B recommendation predates therapeutic-dose GLP-1 agonists and remains unupdated, leaving the ACA mandatory coverage mechanism dormant for the drug class most likely to change obesity outcomes - The USPSTF's 2018 adult obesity B recommendation predates therapeutic-dose GLP-1 agonists and remains unupdated, leaving the ACA mandatory coverage mechanism dormant for the drug class most likely to change obesity outcomes

2
domains/health/glp1-access-follows-systematic-inversion-highest-burden-states-have-lowest-coverage-and-highest-income-relative-cost.md
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@ -9,7 +9,7 @@ title: GLP-1 access follows systematic inversion where states with highest obesi
agent: vida agent: vida
scope: structural scope: structural
sourcer: KFF + Health Management Academy sourcer: KFF + Health Management Academy
related_claims: ["[[GLP-1 receptor agonists are the largest therapeutic category launch in pharmaceutical history but their chronic use model makes the net cost impact inflationary through 2035]]", "[[medical care explains only 10-20 percent of health outcomes because behavioral social and genetic factors dominate as four independent methodologies confirm]]"] related_claims: ["[[GLP-1 receptor agonists are the largest therapeutic category launch in pharmaceutical history but their chronic use model makes the net cost impact inflationary through 2035]]", "[[medical care explains only 10-20 percent of health outcomes because behavioral social and genetic factors dominate as four independent methodologies confirm]]", "[[glp1-access-inverted-by-cardiovascular-risk-creating-efficacy-translation-barrier]]"]
supports: supports:
- Medicaid coverage expansion for GLP-1s reduces racial prescribing disparities from 49 percent to near-parity because insurance policy is the primary structural driver not provider bias - Medicaid coverage expansion for GLP-1s reduces racial prescribing disparities from 49 percent to near-parity because insurance policy is the primary structural driver not provider bias
- Wealth stratification in GLP-1 access creates a disease progression disparity where lowest-income Black patients receive treatment at BMI 39.4 versus 35.0 for highest-income patients - Wealth stratification in GLP-1 access creates a disease progression disparity where lowest-income Black patients receive treatment at BMI 39.4 versus 35.0 for highest-income patients

2
domains/health/glp1-year-one-persistence-doubled-2021-2024-supply-normalization.md
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@ -9,7 +9,7 @@ title: GLP-1 year-one persistence for obesity nearly doubled from 2021 to 2024 d
agent: vida agent: vida
scope: correlational scope: correlational
sourcer: BCBS Health Institute sourcer: BCBS Health Institute
related_claims: ["[[GLP-1 receptor agonists are the largest therapeutic category launch in pharmaceutical history but their chronic use model makes the net cost impact inflationary through 2035]]"] related_claims: ["[[GLP-1 receptor agonists are the largest therapeutic category launch in pharmaceutical history but their chronic use model makes the net cost impact inflationary through 2035]]", "[[divergence-glp1-economics-chronic-cost-vs-low-persistence]]"]
supports: supports:
- GLP-1 long-term persistence remains structurally limited at 14 percent by year two despite year-one improvements - GLP-1 long-term persistence remains structurally limited at 14 percent by year two despite year-one improvements
reweave_edges: reweave_edges:

7
domains/health/healthcare AI regulation needs blank-sheet redesign because the FDA drug-and-device model built for static products cannot govern continuously learning software.md
View file

@ -8,6 +8,13 @@ domain: health
created: 2026-02-18 created: 2026-02-18
source: "DJ Patil interviewing Bob Wachter, Commonwealth Club, February 9 2026; Wachter 'A Giant Leap' (2026)" source: "DJ Patil interviewing Bob Wachter, Commonwealth Club, February 9 2026; Wachter 'A Giant Leap' (2026)"
confidence: likely confidence: likely
related_claims:
- clinical-ai-safety-gap-is-doubly-structural-with-no-pre-deployment-requirements-and-no-post-market-surveillance
- regulatory-rollback-clinical-ai-eu-us-2025-2026-removes-high-risk-oversight-despite-accumulating-failure-evidence
- fda-2026-cds-enforcement-discretion-expands-to-single-recommendation-ai-without-defining-clinical-appropriateness
- generative-ai-medical-devices-require-new-regulatory-frameworks-because-non-determinism-continuous-updates-and-inherent-hallucination-are-architectural-properties
- no-regulatory-body-globally-has-established-mandatory-hallucination-rate-benchmarks-for-clinical-ai-despite-evidence-base
- state-clinical-ai-disclosure-laws-fill-federal-regulatory-gap-created-by-fda-enforcement-discretion-expansion
related: related:
- CMS is creating AI-specific reimbursement codes which will formalize a two-speed adoption system where proven AI applications get payment parity while experimental ones remain in cash-pay limbo - CMS is creating AI-specific reimbursement codes which will formalize a two-speed adoption system where proven AI applications get payment parity while experimental ones remain in cash-pay limbo
- FDA is replacing animal testing with AI models and organ-on-chip as the default preclinical pathway which will compress drug development timelines and reduce the 90 percent clinical failure rate - FDA is replacing animal testing with AI models and organ-on-chip as the default preclinical pathway which will compress drug development timelines and reduce the 90 percent clinical failure rate

5
domains/health/human-in-the-loop clinical AI degrades to worse-than-AI-alone because physicians both de-skill from reliance and introduce errors when overriding correct outputs.md
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@ -5,6 +5,11 @@ domain: health
created: 2026-02-18 created: 2026-02-18
source: "DJ Patil interviewing Bob Wachter, Commonwealth Club, February 9 2026; Stanford/Harvard diagnostic accuracy study; European colonoscopy AI de-skilling study" source: "DJ Patil interviewing Bob Wachter, Commonwealth Club, February 9 2026; Stanford/Harvard diagnostic accuracy study; European colonoscopy AI de-skilling study"
confidence: likely confidence: likely
related_claims:
- ai-induced-deskilling-follows-consistent-cross-specialty-pattern-in-medicine
- never-skilling-is-detection-resistant-and-unrecoverable-making-it-worse-than-deskilling
- ai-assistance-produces-neurologically-grounded-irreversible-deskilling-through-prefrontal-disengagement-hippocampal-reduction-and-dopaminergic-reinforcement
- llms-amplify-human-cognitive-biases-through-sequential-processing-and-lack-contextual-resistance
supports: supports:
- NCT07328815 - Mitigating Automation Bias in Physician-LLM Diagnostic Reasoning - NCT07328815 - Mitigating Automation Bias in Physician-LLM Diagnostic Reasoning
- Does human oversight improve or degrade AI clinical decision-making? - Does human oversight improve or degrade AI clinical decision-making?

2
domains/health/llm-clinical-recommendations-exhibit-systematic-sociodemographic-bias-across-all-model-architectures.md
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@ -9,7 +9,7 @@ title: LLM clinical recommendations exhibit systematic sociodemographic bias acr
agent: vida agent: vida
scope: causal scope: causal
sourcer: Nature Medicine / Multi-institution research team sourcer: Nature Medicine / Multi-institution research team
related_claims: ["[[human-in-the-loop clinical AI degrades to worse-than-AI-alone because physicians both de-skill from reliance and introduce errors when overriding correct outputs]]", "[[medical LLM benchmark performance does not translate to clinical impact because physicians with and without AI access achieve similar diagnostic accuracy in randomized trials]]", "[[OpenEvidence became the fastest-adopted clinical technology in history reaching 40 percent of US physicians daily within two years]]"] related_claims: ["[[human-in-the-loop clinical AI degrades to worse-than-AI-alone because physicians both de-skill from reliance and introduce errors when overriding correct outputs]]", "[[medical LLM benchmark performance does not translate to clinical impact because physicians with and without AI access achieve similar diagnostic accuracy in randomized trials]]", "[[OpenEvidence became the fastest-adopted clinical technology in history reaching 40 percent of US physicians daily within two years]]", "[[clinical-ai-bias-amplification-creates-compounding-disparity-risk-at-scale]]", "[[llm-nursing-care-plans-exhibit-dual-pathway-sociodemographic-bias-in-content-and-expert-rated-quality]]"]
supports: supports:
- Clinical AI that reinforces physician plans amplifies existing demographic biases at population scale because both physician behavior and LLM training data encode historical inequities - Clinical AI that reinforces physician plans amplifies existing demographic biases at population scale because both physician behavior and LLM training data encode historical inequities
- LLM-generated nursing care plans exhibit dual-pathway sociodemographic bias affecting both plan content and expert-rated clinical quality - LLM-generated nursing care plans exhibit dual-pathway sociodemographic bias affecting both plan content and expert-rated clinical quality

2
domains/health/lower-income-patients-show-higher-glp-1-discontinuation-rates-suggesting-affordability-not-just-clinical-factors-drive-persistence.md
View file

@ -5,6 +5,8 @@ description: "Income level correlates with GLP-1 discontinuation rates in commer
confidence: experimental confidence: experimental
source: "Journal of Managed Care & Specialty Pharmacy, Real-world Persistence and Adherence to GLP-1 RAs Among Obese Commercially Insured Adults Without Diabetes, 2024-08-01" source: "Journal of Managed Care & Specialty Pharmacy, Real-world Persistence and Adherence to GLP-1 RAs Among Obese Commercially Insured Adults Without Diabetes, 2024-08-01"
created: 2026-03-11 created: 2026-03-11
related_claims:
- divergence-glp1-economics-chronic-cost-vs-low-persistence
related: related:
- federal-budget-scoring-methodology-systematically-undervalues-preventive-interventions-because-10-year-window-excludes-long-term-savings - federal-budget-scoring-methodology-systematically-undervalues-preventive-interventions-because-10-year-window-excludes-long-term-savings
- glp-1-multi-organ-protection-creates-compounding-value-across-kidney-cardiovascular-and-metabolic-endpoints - glp-1-multi-organ-protection-creates-compounding-value-across-kidney-cardiovascular-and-metabolic-endpoints

1
domains/health/medical LLM benchmark performance does not translate to clinical impact because physicians with and without AI access achieve similar diagnostic accuracy in randomized trials.md
View file

@ -5,6 +5,7 @@ domain: health
created: 2026-02-17 created: 2026-02-17
source: "OpenEvidence USMLE 100%; GPT-4 vs ED physicians (PMC 2024); UVA/Stanford/Harvard randomized trial (Stanford HAI 2025)" source: "OpenEvidence USMLE 100%; GPT-4 vs ED physicians (PMC 2024); UVA/Stanford/Harvard randomized trial (Stanford HAI 2025)"
confidence: likely confidence: likely
related_claims: ["[[divergence-human-ai-clinical-collaboration-enhance-or-degrade]]"]
related: related:
- LLM anchoring bias causes clinical AI to reinforce physician initial assessments rather than challenge them because the physician's plan becomes the anchor that shapes all subsequent AI reasoning - LLM anchoring bias causes clinical AI to reinforce physician initial assessments rather than challenge them because the physician's plan becomes the anchor that shapes all subsequent AI reasoning
- Medical benchmark performance does not predict clinical safety as USMLE scores correlate only 0.61 with harm rates - Medical benchmark performance does not predict clinical safety as USMLE scores correlate only 0.61 with harm rates

7
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
View file

@ -5,6 +5,13 @@ domain: health
created: 2026-02-20 created: 2026-02-20
source: "Braveman & Egerter 2019, Schroeder 2007, County Health Rankings, Dever 1976" source: "Braveman & Egerter 2019, Schroeder 2007, County Health Rankings, Dever 1976"
confidence: proven confidence: proven
related_claims:
- snap-benefit-loss-causes-measurable-mortality-through-food-insecurity-pathway
- snap-reduces-antihypertensive-nonadherence-through-food-medication-trade-off-relief
- us-healthspan-lifespan-gap-largest-globally-despite-highest-spending
- us-healthspan-declining-while-lifespan-recovers-creating-divergence
- cvd-mortality-stagnation-affects-all-income-levels-indicating-structural-system-failure
- us-hypertension-mortality-doubled-2000-2019-while-treatment-control-stagnated-structural-access-failure
supports: supports:
- hypertension-related-cvd-mortality-doubled-2000-2023-despite-available-treatment-indicating-behavioral-sdoh-failure - hypertension-related-cvd-mortality-doubled-2000-2023-despite-available-treatment-indicating-behavioral-sdoh-failure
reweave_edges: reweave_edges:

2
domains/health/medicare-advantage-spending-gap-grew-47x-while-enrollment-doubled-indicating-scale-worsens-overpayment-problem.md
View file

@ -5,6 +5,8 @@ description: "Federal MA overpayment increased from $18B (2015) to $84B (2025) w
confidence: proven confidence: proven
source: "Kaiser Family Foundation, Medicare Advantage in 2025: Enrollment Update and Key Trends (2025)" source: "Kaiser Family Foundation, Medicare Advantage in 2025: Enrollment Update and Key Trends (2025)"
created: 2025-07-24 created: 2025-07-24
related_claims:
- medicare-advantage-crossed-majority-enrollment-in-2023-marking-structural-transformation-from-supplement-to-dominant-program
--- ---
# Medicare Advantage spending gap grew 4.7x while enrollment doubled indicating scale worsens overpayment problem # Medicare Advantage spending gap grew 4.7x while enrollment doubled indicating scale worsens overpayment problem

2
domains/health/medicare-fiscal-pressure-forces-ma-reform-by-2030s-through-arithmetic-not-ideology.md
View file

@ -5,6 +5,8 @@ domain: health
confidence: medium confidence: medium
source: 2026-02-01-cms-2027-advance-notice-ma-rates source: 2026-02-01-cms-2027-advance-notice-ma-rates
created: 2026-03-16 created: 2026-03-16
related_claims:
- medicare-advantage-crossed-majority-enrollment-in-2023-marking-structural-transformation-from-supplement-to-dominant-program
--- ---
Medicare Advantage (MA) reform will be forced by fiscal arithmetic, not ideology, by the 2030s. Medicare Advantage (MA) reform will be forced by fiscal arithmetic, not ideology, by the 2030s.

2
domains/health/midlife-cvd-mortality-increased-in-many-us-states-after-2010-representing-reversal-not-stagnation.md
View file

@ -9,7 +9,7 @@ title: Midlife CVD mortality (ages 40-64) increased in many US states after 2010
agent: vida agent: vida
scope: causal scope: causal
sourcer: Leah Abrams, Neil Mehta sourcer: Leah Abrams, Neil Mehta
related_claims: ["[[Americas declining life expectancy is driven by deaths of despair concentrated in populations and regions most damaged by economic restructuring since the 1980s]]", "[[Big Food companies engineer addictive products by hacking evolutionary reward pathways creating a noncommunicable disease epidemic more deadly than the famines specialization eliminated]]"] related_claims: ["[[Americas declining life expectancy is driven by deaths of despair concentrated in populations and regions most damaged by economic restructuring since the 1980s]]", "[[Big Food companies engineer addictive products by hacking evolutionary reward pathways creating a noncommunicable disease epidemic more deadly than the famines specialization eliminated]]", "[[cvd-stagnation-reversed-racial-health-convergence-by-stopping-black-mortality-improvements]]", "[[us-cardiovascular-mortality-gains-reversing-after-decades-of-improvement-across-major-conditions]]", "[[cvd-mortality-stagnation-affects-all-income-levels-indicating-structural-system-failure]]"]
related: related:
- CVD mortality stagnation after 2010 affects all income levels including the wealthiest counties indicating structural system failure not poverty correlation - CVD mortality stagnation after 2010 affects all income levels including the wealthiest counties indicating structural system failure not poverty correlation
- CVD mortality stagnation drives US life expectancy plateau 3-11x more than drug deaths inverting the dominant opioid crisis narrative - CVD mortality stagnation drives US life expectancy plateau 3-11x more than drug deaths inverting the dominant opioid crisis narrative

2
domains/health/obbba-medicaid-work-requirements-destroy-enrollment-stability-required-for-vbc-prevention-roi.md
View file

@ -9,7 +9,7 @@ title: OBBBA Medicaid work requirements destroy the enrollment stability that va
agent: vida agent: vida
scope: structural scope: structural
sourcer: AMA / Georgetown CCF / Urban Institute sourcer: AMA / Georgetown CCF / Urban Institute
related_claims: ["[[value-based care transitions stall at the payment boundary because 60 percent of payments touch value metrics but only 14 percent bear full risk]]"] related_claims: ["[[value-based care transitions stall at the payment boundary because 60 percent of payments touch value metrics but only 14 percent bear full risk]]", "[[double-coverage-compression-simultaneous-medicaid-cuts-and-aptc-expiry-eliminate-coverage-for-under-400-fpl]]", "[[medicaid-work-requirements-cause-coverage-loss-through-procedural-churn-not-employment-screening]]"]
supports: supports:
- Medicaid work requirements cause coverage loss through procedural churn not employment screening because 5.3 million projected uninsured exceeds the population of able-bodied unemployed adults - Medicaid work requirements cause coverage loss through procedural churn not employment screening because 5.3 million projected uninsured exceeds the population of able-bodied unemployed adults
- Value-based care requires enrollment stability as structural precondition because prevention ROI depends on multi-year attribution and semi-annual redeterminations break the investment timeline - Value-based care requires enrollment stability as structural precondition because prevention ROI depends on multi-year attribution and semi-annual redeterminations break the investment timeline

2
domains/health/pace-restructures-costs-from-acute-to-chronic-spending-without-reducing-total-expenditure-challenging-prevention-saves-money-narrative.md
View file

@ -7,6 +7,8 @@ source: "ASPE/HHS 2014 PACE evaluation (2006-2011 data), 8 states, 250+ enrollee
created: 2026-03-10 created: 2026-03-10
last_evaluated: 2026-03-10 last_evaluated: 2026-03-10
secondary_domains: ["teleological-economics"] secondary_domains: ["teleological-economics"]
related_claims:
- divergence-prevention-first-cost-reduction-vs-cost-redistribution
challenges: challenges:
- Does prevention-first care reduce total healthcare costs or just redistribute them from acute to chronic spending? - Does prevention-first care reduce total healthcare costs or just redistribute them from acute to chronic spending?
reweave_edges: reweave_edges:

3
domains/health/the epidemiological transition marks the shift from material scarcity to social disadvantage as the primary driver of health outcomes in developed nations.md
View file

@ -5,6 +5,9 @@ domain: health
source: "Architectural Investing, Ch. Epidemiological Transition; Wilkinson (1994)" source: "Architectural Investing, Ch. Epidemiological Transition; Wilkinson (1994)"
confidence: likely confidence: likely
created: 2026-02-28 created: 2026-02-28
related_claims:
- us-cardiovascular-mortality-gains-reversing-after-decades-of-improvement-across-major-conditions
- ultra-processed-food-consumption-increases-incident-hypertension-through-chronic-inflammation-pathway
related: related:
- us-healthcare-ranks-last-among-peer-nations-despite-highest-spending-because-access-and-equity-failures-override-clinical-quality - us-healthcare-ranks-last-among-peer-nations-despite-highest-spending-because-access-and-equity-failures-override-clinical-quality
reweave_edges: reweave_edges:

3
domains/health/the healthcare attractor state is a prevention-first system where aligned payment continuous monitoring and AI-augmented care delivery create a flywheel that profits from health rather than sickness.md
View file

@ -5,6 +5,9 @@ domain: health
created: 2026-03-01 created: 2026-03-01
source: "Healthcare attractor state derivation using vault knowledge + 2026 industry research; Rumelt Good Strategy Bad Strategy; Devoted Health analysis; CMS data; OECD comparisons; Singapore model" source: "Healthcare attractor state derivation using vault knowledge + 2026 industry research; Rumelt Good Strategy Bad Strategy; Devoted Health analysis; CMS data; OECD comparisons; Singapore model"
confidence: likely confidence: likely
related_claims:
- divergence-prevention-first-cost-reduction-vs-cost-redistribution
- medicare-advantage-crossed-majority-enrollment-in-2023-marking-structural-transformation-from-supplement-to-dominant-program
--- ---
# the healthcare attractor state is a prevention-first system where aligned payment continuous monitoring and AI-augmented care delivery create a flywheel that profits from health rather than sickness # the healthcare attractor state is a prevention-first system where aligned payment continuous monitoring and AI-augmented care delivery create a flywheel that profits from health rather than sickness

2
domains/health/tirzepatide-patent-thicket-extends-exclusivity-to-2041-bifurcating-glp1-market-into-commodity-and-premium-tiers.md
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@ -9,7 +9,7 @@ title: Tirzepatide's patent thicket extending to 2041 bifurcates the GLP-1 marke
agent: vida agent: vida
scope: structural scope: structural
sourcer: DrugPatentWatch / GreyB / i-mak.org sourcer: DrugPatentWatch / GreyB / i-mak.org
related_claims: ["[[GLP-1 receptor agonists are the largest therapeutic category launch in pharmaceutical history but their chronic use model makes the net cost impact inflationary through 2035]]"] related_claims: ["[[GLP-1 receptor agonists are the largest therapeutic category launch in pharmaceutical history but their chronic use model makes the net cost impact inflationary through 2035]]", "[[cipla-dual-role-generic-semaglutide-and-branded-tirzepatide-exemplifies-portfolio-hedge-strategy-for-bifurcated-markets]]", "[[indian-generic-semaglutide-exports-enabled-by-evergreening-rejection-create-global-access-pathway-before-us-patent-expiry]]"]
supports: supports:
- Cipla's dual role as generic semaglutide entrant AND Lilly's branded tirzepatide partner exemplifies the portfolio hedge strategy for pharmaceutical companies navigating market bifurcation - Cipla's dual role as generic semaglutide entrant AND Lilly's branded tirzepatide partner exemplifies the portfolio hedge strategy for pharmaceutical companies navigating market bifurcation
related: related:

7
domains/health/value-based care transitions stall at the payment boundary because 60 percent of payments touch value metrics but only 14 percent bear full risk.md
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@ -5,6 +5,13 @@ domain: health
created: 2026-02-17 created: 2026-02-17
source: "HCP-LAN 2022-2025 measurement; IMO Health VBC Update June 2025; Grand View Research VBC market analysis; Larsson et al NEJM Catalyst 2022" source: "HCP-LAN 2022-2025 measurement; IMO Health VBC Update June 2025; Grand View Research VBC market analysis; Larsson et al NEJM Catalyst 2022"
confidence: likely confidence: likely
related_claims:
- double-coverage-compression-simultaneous-medicaid-cuts-and-aptc-expiry-eliminate-coverage-for-under-400-fpl
- medicaid-work-requirements-cause-coverage-loss-through-procedural-churn-not-employment-screening
- upf-driven-chronic-inflammation-creates-continuous-vascular-risk-regeneration-explaining-antihypertensive-treatment-failure
- medically-tailored-meals-achieve-pharmacotherapy-scale-bp-reduction-in-food-insecure-hypertensive-patients
- hypertension-shifted-from-secondary-to-primary-cvd-mortality-driver-since-2022
- uspstf-glp1-policy-gap-leaves-aca-mandatory-coverage-dormant
related: related:
- federal-budget-scoring-methodology-systematically-undervalues-preventive-interventions-because-10-year-window-excludes-long-term-savings - federal-budget-scoring-methodology-systematically-undervalues-preventive-interventions-because-10-year-window-excludes-long-term-savings
- home-based-care-could-capture-265-billion-in-medicare-spending-by-2025-through-hospital-at-home-remote-monitoring-and-post-acute-shift - home-based-care-could-capture-265-billion-in-medicare-spending-by-2025-through-hospital-at-home-remote-monitoring-and-post-acute-shift

2
domains/health/wealth-stratified-glp1-access-creates-disease-progression-disparity-with-lowest-income-black-patients-treated-at-13-percent-higher-bmi.md
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@ -9,7 +9,7 @@ title: Wealth stratification in GLP-1 access creates a disease progression dispa
agent: vida agent: vida
scope: structural scope: structural
sourcer: Wasden et al., Obesity journal sourcer: Wasden et al., Obesity journal
related_claims: ["[[SDOH interventions show strong ROI but adoption stalls because Z-code documentation remains below 3 percent and no operational infrastructure connects screening to action]]", "[[medical care explains only 10-20 percent of health outcomes because behavioral social and genetic factors dominate as four independent methodologies confirm]]"] related_claims: ["[[SDOH interventions show strong ROI but adoption stalls because Z-code documentation remains below 3 percent and no operational infrastructure connects screening to action]]", "[[medical care explains only 10-20 percent of health outcomes because behavioral social and genetic factors dominate as four independent methodologies confirm]]", "[[glp1-access-inverted-by-cardiovascular-risk-creating-efficacy-translation-barrier]]"]
supports: supports:
- GLP-1 access follows systematic inversion where states with highest obesity prevalence have both lowest Medicaid coverage rates and highest income-relative out-of-pocket costs - GLP-1 access follows systematic inversion where states with highest obesity prevalence have both lowest Medicaid coverage rates and highest income-relative out-of-pocket costs
reweave_edges: reweave_edges:

1
domains/internet-finance/fiat-onramp-conversion-rates-are-under-10-percent-creating-structural-bottleneck-for-crypto-adoption.md
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@ -11,6 +11,7 @@ scope: structural
sourcer: Shayon Sengupta sourcer: Shayon Sengupta
related: related:
- social-login-and-embedded-fiat-on-ramps-target-the-two-structural-barriers-to-mainstream-crypto-adoption - social-login-and-embedded-fiat-on-ramps-target-the-two-structural-barriers-to-mainstream-crypto-adoption
- zkTLS-proofs-enable-trustless-fiat-payment-verification-by-cryptographically-attesting-to-payment-confirmations-over-legacy-rails
reweave_edges: reweave_edges:
- social-login-and-embedded-fiat-on-ramps-target-the-two-structural-barriers-to-mainstream-crypto-adoption|related|2026-04-19 - social-login-and-embedded-fiat-on-ramps-target-the-two-structural-barriers-to-mainstream-crypto-adoption|related|2026-04-19
--- ---

1
domains/internet-finance/futarchy is manipulation-resistant because attack attempts create profitable opportunities for arbitrageurs.md
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@ -7,6 +7,7 @@ confidence: likely
source: "Governance - Meritocratic Voting + Futarchy" source: "Governance - Meritocratic Voting + Futarchy"
related: related:
- insider-trading-in-futarchy-improves-governance-by-accelerating-ground-truth-incorporation-into-conditional-markets - insider-trading-in-futarchy-improves-governance-by-accelerating-ground-truth-incorporation-into-conditional-markets
- polymarket-insider-trading-rules-updated-in-response-to-p2p-me-case
--- ---
# futarchy is manipulation-resistant because attack attempts create profitable opportunities for arbitrageurs # futarchy is manipulation-resistant because attack attempts create profitable opportunities for arbitrageurs

1
domains/internet-finance/futarchy-governance-markets-create-insider-trading-paradox-because-informed-governance-participants-are-simultaneously-the-most-valuable-traders-and-the-most-restricted-under-insider-trading-frameworks.md
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@ -17,6 +17,7 @@ related:
- insider-trading-in-futarchy-improves-governance-by-accelerating-ground-truth-incorporation-into-conditional-markets - insider-trading-in-futarchy-improves-governance-by-accelerating-ground-truth-incorporation-into-conditional-markets
- stock-markets-function-despite-20-40-percent-insider-trading-proving-information-asymmetry-does-not-break-price-discovery - stock-markets-function-despite-20-40-percent-insider-trading-proving-information-asymmetry-does-not-break-price-discovery
- congressional-insider-trading-legislation-for-prediction-markets-treats-them-as-financial-instruments-not-gambling-strengthening-dcm-regulatory-legitimacy - congressional-insider-trading-legislation-for-prediction-markets-treats-them-as-financial-instruments-not-gambling-strengthening-dcm-regulatory-legitimacy
- polymarket-insider-trading-rules-updated-in-response-to-p2p-me-case
reweave_edges: reweave_edges:
- congressional-insider-trading-legislation-for-prediction-markets-treats-them-as-financial-instruments-not-gambling-strengthening-dcm-regulatory-legitimacy|related|2026-04-18 - congressional-insider-trading-legislation-for-prediction-markets-treats-them-as-financial-instruments-not-gambling-strengthening-dcm-regulatory-legitimacy|related|2026-04-18
--- ---

2
domains/internet-finance/futarchy-governance-quality-degrades-on-low-salience-operational-decisions-because-thin-markets-lack-trader-participation.md
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@ -9,7 +9,7 @@ title: Futarchy governance quality degrades on low-salience operational decision
agent: rio agent: rio
scope: functional scope: functional
sourcer: "@m3taversal" sourcer: "@m3taversal"
related: ["futarchy-excels-at-relative-selection-but-fails-at-absolute-prediction-because-ordinal-ranking-works-while-cardinal-estimation-requires-calibration", "MetaDAOs futarchy implementation shows limited trading volume in uncontested decisions", "futarchy-governed DAOs converge on traditional corporate governance scaffolding for treasury operations because market mechanisms alone cannot provide operational security and legal compliance", "futarchy-clob-liquidity-fragmentation-creates-wide-spreads-because-pricing-counterfactual-governance-outcomes-has-inherent-uncertainty", "futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements"] related: ["futarchy-excels-at-relative-selection-but-fails-at-absolute-prediction-because-ordinal-ranking-works-while-cardinal-estimation-requires-calibration", "MetaDAOs futarchy implementation shows limited trading volume in uncontested decisions", "futarchy-governed DAOs converge on traditional corporate governance scaffolding for treasury operations because market mechanisms alone cannot provide operational security and legal compliance", "futarchy-clob-liquidity-fragmentation-creates-wide-spreads-because-pricing-counterfactual-governance-outcomes-has-inherent-uncertainty", "futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements", "divergence-futarchy-low-adoption-feature-or-bug"]
--- ---
# Futarchy governance quality degrades on low-salience operational decisions because thin markets lack trader participation # Futarchy governance quality degrades on low-salience operational decisions because thin markets lack trader participation

2
domains/internet-finance/futarchy-governance-scaling-constraint-is-trader-sophistication-not-launch-volume.md
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@ -10,7 +10,7 @@ agent: rio
scope: structural scope: structural
sourcer: "@m3taversal" sourcer: "@m3taversal"
supports: ["domain-expertise-loses-to-trading-skill-in-futarchy-markets-because-prediction-accuracy-requires-calibration-not-just-knowledge"] supports: ["domain-expertise-loses-to-trading-skill-in-futarchy-markets-because-prediction-accuracy-requires-calibration-not-just-knowledge"]
related: ["MetaDAO is the futarchy launchpad on Solana where projects raise capital through unruggable ICOs governed by conditional markets creating the first platform for ownership coins at scale", "futarchy-governed permissionless launches require brand separation to manage reputational liability because failed projects on a curated platform damage the platforms credibility", "domain-expertise-loses-to-trading-skill-in-futarchy-markets-because-prediction-accuracy-requires-calibration-not-just-knowledge", "futarchy protocols capture market share during downturns because governance-aligned capital formation attracts serious builders while speculative platforms lose volume proportionally to market sentiment", "futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements", "metadao-ico-platform-demonstrates-15x-oversubscription-validating-futarchy-governed-capital-formation", "internet capital markets compress fundraising from months to days because permissionless raises eliminate gatekeepers while futarchy replaces due diligence bottlenecks with real-time market pricing", "futardio-platform-shows-bimodal-launch-distribution-where-most-projects-refund-but-viral-community-resonant-projects-raise-100x-targets"] related: ["MetaDAO is the futarchy launchpad on Solana where projects raise capital through unruggable ICOs governed by conditional markets creating the first platform for ownership coins at scale", "futarchy-governed permissionless launches require brand separation to manage reputational liability because failed projects on a curated platform damage the platforms credibility", "domain-expertise-loses-to-trading-skill-in-futarchy-markets-because-prediction-accuracy-requires-calibration-not-just-knowledge", "futarchy protocols capture market share during downturns because governance-aligned capital formation attracts serious builders while speculative platforms lose volume proportionally to market sentiment", "futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements", "metadao-ico-platform-demonstrates-15x-oversubscription-validating-futarchy-governed-capital-formation", "internet capital markets compress fundraising from months to days because permissionless raises eliminate gatekeepers while futarchy replaces due diligence bottlenecks with real-time market pricing", "futardio-platform-shows-bimodal-launch-distribution-where-most-projects-refund-but-viral-community-resonant-projects-raise-100x-targets", "divergence-futarchy-low-adoption-feature-or-bug"]
--- ---
# Futarchy governance scaling constraint is trader sophistication not launch volume because governance markets are only as good as the people trading them # Futarchy governance scaling constraint is trader sophistication not launch volume because governance markets are only as good as the people trading them

2
domains/internet-finance/insider-trading-in-futarchy-improves-governance-by-accelerating-ground-truth-incorporation-into-conditional-markets.md
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@ -10,7 +10,7 @@ agent: rio
scope: functional scope: functional
sourcer: Rio sourcer: Rio
challenges: ["futarchy-governance-markets-create-insider-trading-paradox-because-informed-governance-participants-are-simultaneously-the-most-valuable-traders-and-the-most-restricted-under-insider-trading-frameworks"] challenges: ["futarchy-governance-markets-create-insider-trading-paradox-because-informed-governance-participants-are-simultaneously-the-most-valuable-traders-and-the-most-restricted-under-insider-trading-frameworks"]
related: ["domain-expertise-loses-to-trading-skill-in-futarchy-markets-because-prediction-accuracy-requires-calibration-not-just-knowledge", "futarchy-governance-markets-create-insider-trading-paradox-because-informed-governance-participants-are-simultaneously-the-most-valuable-traders-and-the-most-restricted-under-insider-trading-frameworks", "futarchy is manipulation-resistant because attack attempts create profitable opportunities for arbitrageurs", "futarchy is manipulation-resistant because attack attempts create profitable opportunities for defenders"] related: ["domain-expertise-loses-to-trading-skill-in-futarchy-markets-because-prediction-accuracy-requires-calibration-not-just-knowledge", "futarchy-governance-markets-create-insider-trading-paradox-because-informed-governance-participants-are-simultaneously-the-most-valuable-traders-and-the-most-restricted-under-insider-trading-frameworks", "futarchy is manipulation-resistant because attack attempts create profitable opportunities for arbitrageurs", "futarchy is manipulation-resistant because attack attempts create profitable opportunities for defenders", "polymarket-insider-trading-rules-updated-in-response-to-p2p-me-case"]
--- ---
# Insider trading in futarchy improves governance by accelerating ground truth incorporation into conditional markets # Insider trading in futarchy improves governance by accelerating ground truth incorporation into conditional markets

2
domains/internet-finance/permissionless-community-expansion-reduces-market-entry-costs-100x-through-incentivized-circles-versus-local-teams.md
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@ -15,6 +15,8 @@ supports:
- permissionless-operator-networks-scale-geographic-expansion-quadratically-by-removing-human-bottlenecks-from-market-entry - permissionless-operator-networks-scale-geographic-expansion-quadratically-by-removing-human-bottlenecks-from-market-entry
- permissionless-country-expansion-accelerates-through-operational-learning-because-each-market-launch-compresses-timeline-and-reduces-capital-requirements - permissionless-country-expansion-accelerates-through-operational-learning-because-each-market-launch-compresses-timeline-and-reduces-capital-requirements
- permissionless-geographic-expansion-achieves-100x-cost-reduction-through-community-leader-revenue-share-replacing-local-teams - permissionless-geographic-expansion-achieves-100x-cost-reduction-through-community-leader-revenue-share-replacing-local-teams
related:
- zkTLS-proofs-enable-trustless-fiat-payment-verification-by-cryptographically-attesting-to-payment-confirmations-over-legacy-rails
reweave_edges: reweave_edges:
- permissionless-operator-networks-scale-geographic-expansion-quadratically-by-removing-human-bottlenecks-from-market-entry|supports|2026-04-04 - permissionless-operator-networks-scale-geographic-expansion-quadratically-by-removing-human-bottlenecks-from-market-entry|supports|2026-04-04
- permissionless-country-expansion-accelerates-through-operational-learning-because-each-market-launch-compresses-timeline-and-reduces-capital-requirements|supports|2026-04-19 - permissionless-country-expansion-accelerates-through-operational-learning-because-each-market-launch-compresses-timeline-and-reduces-capital-requirements|supports|2026-04-19

3
domains/internet-finance/social-login-and-embedded-fiat-on-ramps-target-the-two-structural-barriers-to-mainstream-crypto-adoption.md
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@ -5,6 +5,9 @@ description: Social login and embedded fiat on-ramps aim to reduce barriers to c
created: 2026-03-05 created: 2026-03-05
processed_date: 2026-03-10 processed_date: 2026-03-10
confidence: speculative confidence: speculative
related:
- zkTLS-proofs-enable-trustless-fiat-payment-verification-by-cryptographically-attesting-to-payment-confirmations-over-legacy-rails
- fiat-onramp-conversion-rates-are-under-10-percent-creating-structural-bottleneck-for-crypto-adoption
--- ---
<!-- claim pending --> <!-- claim pending -->

2
domains/space-development/Blue Origin cislunar infrastructure strategy mirrors AWS by building comprehensive platform layers while competitors optimize individual services.md
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@ -5,6 +5,8 @@ description: "Bezos funds $14B+ to build launch, landers, stations, and comms co
confidence: experimental confidence: experimental
source: "Astra, Blue Origin research profile February 2026" source: "Astra, Blue Origin research profile February 2026"
created: 2026-03-20 created: 2026-03-20
related_claims:
- wide-portfolio-concentration-creates-single-entity-execution-risk
challenged_by: challenged_by:
- historically slow execution and total Bezos dependency — two successful New Glenn flights is a start not a pattern - historically slow execution and total Bezos dependency — two successful New Glenn flights is a start not a pattern
related: related:

3
domains/space-development/SpaceX vertical integration across launch broadband and manufacturing creates compounding cost advantages that no competitor can replicate piecemeal.md
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@ -5,6 +5,9 @@ description: "SpaceX uses Starlink demand to drive launch cadence which drives r
confidence: likely confidence: likely
source: "Astra synthesis from SpaceX 2025 financials ($19B revenue, ~$2B net income), Starlink subscriber data (10M), launch cadence data (170 launches in 2025), Falcon 9 booster reuse records (32 flights on single first stage)" source: "Astra synthesis from SpaceX 2025 financials ($19B revenue, ~$2B net income), Starlink subscriber data (10M), launch cadence data (170 launches in 2025), Falcon 9 booster reuse records (32 flights on single first stage)"
created: 2026-03-07 created: 2026-03-07
related_claims:
- vertical-integration-bypasses-demand-threshold-through-captive-internal-demand
- space-sector-commercialization-requires-independent-supply-and-demand-thresholds
challenged_by: challenged_by:
- The flywheel thesis assumes Starlink revenue growth continues and that the broadband market sustains the cadence needed for reusability learning. Starlink faces regulatory barriers in several countries, spectrum allocation conflicts, and potential competition from non-LEO broadband (5G/6G terrestrial expansion). If Starlink growth plateaus, the flywheel loses its demand driver. Also, the xAI merger introduces execution complexity that could distract from launch operations. - The flywheel thesis assumes Starlink revenue growth continues and that the broadband market sustains the cadence needed for reusability learning. Starlink faces regulatory barriers in several countries, spectrum allocation conflicts, and potential competition from non-LEO broadband (5G/6G terrestrial expansion). If Starlink growth plateaus, the flywheel loses its demand driver. Also, the xAI merger introduces execution complexity that could distract from launch operations.
related: related:

2
domains/space-development/Starship achieving routine operations at sub-100 dollars per kg is the single largest enabling condition for the entire space industrial economy.md
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@ -11,6 +11,8 @@ challenged_by:
- "Starship has not yet achieved full reusability or routine operations — projected costs are targets, not demonstrated performance" - "Starship has not yet achieved full reusability or routine operations — projected costs are targets, not demonstrated performance"
secondary_domains: secondary_domains:
- teleological-economics - teleological-economics
related_claims:
- space-sector-commercialization-requires-independent-supply-and-demand-thresholds
--- ---
# Starship achieving routine operations at sub-100 dollars per kg is the single largest enabling condition for the entire space industrial economy # Starship achieving routine operations at sub-100 dollars per kg is the single largest enabling condition for the entire space industrial economy

2
domains/space-development/clps-transforms-from-demonstration-to-lunar-logistics-baseline-under-project-ignition.md
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@ -9,7 +9,7 @@ title: Project Ignition's acceleration of CLPS to 30 robotic landings transforms
agent: astra agent: astra
scope: structural scope: structural
sourcer: "@singularityhub" sourcer: "@singularityhub"
related_claims: ["[[governments are transitioning from space system builders to space service buyers which structurally advantages nimble commercial providers]]", "[[launch cost reduction is the keystone variable that unlocks every downstream space industry at specific price thresholds]]"] related_claims: ["[[governments are transitioning from space system builders to space service buyers which structurally advantages nimble commercial providers]]", "[[launch cost reduction is the keystone variable that unlocks every downstream space industry at specific price thresholds]]", "[[clps-mechanism-solved-viper-procurement-problem-through-vehicle-flexibility]]"]
related: related:
- CLPS procurement mechanism solved VIPER's cost growth problem through delivery vehicle flexibility where traditional contracting failed - CLPS procurement mechanism solved VIPER's cost growth problem through delivery vehicle flexibility where traditional contracting failed
reweave_edges: reweave_edges:

5
domains/space-development/commercial space stations are the next infrastructure bet as ISS retirement creates a void that 4 companies are racing to fill by 2030.md
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@ -5,6 +5,11 @@ description: "Axiom (PPTM launching 2027), Vast (Haven-1 slipped to Q1 2027), St
confidence: likely confidence: likely
source: "Astra synthesis from NASA Commercial LEO Destinations program, Axiom Space funding ($605M+), Vast Haven-1 timeline, ISS Deorbit Vehicle contract ($843M to SpaceX), MIT Technology Review 2026 Breakthrough Technologies" source: "Astra synthesis from NASA Commercial LEO Destinations program, Axiom Space funding ($605M+), Vast Haven-1 timeline, ISS Deorbit Vehicle contract ($843M to SpaceX), MIT Technology Review 2026 Breakthrough Technologies"
created: 2026-03-08 created: 2026-03-08
related_claims:
- commercial-space-station-market-stratified-by-development-phase-creating-three-tier-competitive-structure
- commercial-station-timeline-compression-tightens-iss-succession-window
- phase-2-funding-freeze-disproportionately-harms-design-phase-programs-dependent-on-nasa-capital-for-manufacturing-transition
- commercial-station-capital-concentrates-in-strongest-contender-when-anchor-customer-role-uncertain
challenged_by: challenged_by:
- Timeline slippage threatens a gap in continuous human orbital presence (unbroken since November 2000). Axiom's September 2024 cash crisis and down round shows how fragile commercial station timelines are. If none of the four achieve operational capability before ISS deorbits in 2031, the US could face its first period without permanent crewed LEO presence in 25 years. - Timeline slippage threatens a gap in continuous human orbital presence (unbroken since November 2000). Axiom's September 2024 cash crisis and down round shows how fragile commercial station timelines are. If none of the four achieve operational capability before ISS deorbits in 2031, the US could face its first period without permanent crewed LEO presence in 25 years.
supports: supports:

6
domains/space-development/defense spending is the new catalyst for space investment with US Space Force budget jumping 39 percent in one year to 40 billion.md
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@ -5,6 +5,12 @@ description: "Golden Dome missile defense and space domain awareness are driving
confidence: proven confidence: proven
source: "US Space Force FY2026 budget request, Space Capital Q2 2025 report, True Anomaly Series C ($260M), K2 Space ($110M), Stoke Space Series D ($510M), Rocket Lab SDA contract ($816M)" source: "US Space Force FY2026 budget request, Space Capital Q2 2025 report, True Anomaly Series C ($260M), K2 Space ($110M), Stoke Space Series D ($510M), Rocket Lab SDA contract ($816M)"
created: 2026-03-08 created: 2026-03-08
related_claims:
- nearly-all-space-technology-is-dual-use-making-arms-control-in-orbit-impossible-without-banning-the-commercial-applications-themselves
- golden-dome-space-data-network-requires-orbital-compute-for-latency-constraints
- golden-dome-missile-defense-requires-orbital-compute-because-ground-transmission-latency-exceeds-interception-decision-windows
- sda-pwsa-operational-battle-management-establishes-defense-as-first-deployed-orbital-computing-user
- sda-interoperability-standards-create-dual-use-orbital-compute-architecture-from-inception
supports: supports:
- self-funded-capability-demonstrations-before-published-requirements-signal-high-confidence-in-defense-demand-materialization - self-funded-capability-demonstrations-before-published-requirements-signal-high-confidence-in-defense-demand-materialization
reweave_edges: reweave_edges:

3
domains/space-development/governments are transitioning from space system builders to space service buyers which structurally advantages nimble commercial providers.md
View file

@ -5,6 +5,9 @@ description: "The shift from cost-plus proprietary programs to commercial-first
confidence: likely confidence: likely
source: "Astra synthesis from NASA COTS/CRS program history, Rocket Lab SDA contract, Space Force FY2026 budget, ISS commercial successor contracts" source: "Astra synthesis from NASA COTS/CRS program history, Rocket Lab SDA contract, Space Force FY2026 budget, ISS commercial successor contracts"
created: 2026-03-08 created: 2026-03-08
related_claims:
- demand-threshold-in-space-is-revenue-model-independence-not-magnitude
- space-sector-commercialization-requires-independent-supply-and-demand-thresholds
challenged_by: challenged_by:
- The transition is uneven — national security missions still require bespoke classified systems that commercial providers cannot serve off-the-shelf. Cost-plus contracting persists in programs where requirements are genuinely uncertain (e.g., SLS, deep-space habitats). The 'buyer not builder' framing may overstate how much has actually changed outside LEO launch services. - The transition is uneven — national security missions still require bespoke classified systems that commercial providers cannot serve off-the-shelf. Cost-plus contracting persists in programs where requirements are genuinely uncertain (e.g., SLS, deep-space habitats). The 'buyer not builder' framing may overstate how much has actually changed outside LEO launch services.
related: related:

3
domains/space-development/in-situ resource utilization is the bridge technology between outpost and settlement because without it every habitat remains a supply chain exercise.md
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@ -8,6 +8,9 @@ created: 2026-02-17
depends_on: depends_on:
- MOXIE proved ISRU works on another planet by extracting oxygen from Mars CO2 at twice its design goal and 98 percent purity - MOXIE proved ISRU works on another planet by extracting oxygen from Mars CO2 at twice its design goal and 98 percent purity
- closed-loop life support is the binding constraint on permanent space settlement because all other enabling technologies are closer to operational readiness - closed-loop life support is the binding constraint on permanent space settlement because all other enabling technologies are closer to operational readiness
related_claims:
- lunar-isru-trl-gap-creates-decade-long-vulnerability-in-surface-first-architecture
- nasa-project-ignition-south-pole-location-is-isru-first-architectural-commitment
supports: supports:
- ISRU-first base location reveals NASA commitment to resource utilization economics over operational convenience because the south pole site is chosen specifically for water ice access - ISRU-first base location reveals NASA commitment to resource utilization economics over operational convenience because the south pole site is chosen specifically for water ice access
reweave_edges: reweave_edges:

2
domains/space-development/military-commercial-space-architecture-convergence-creates-dual-use-orbital-infrastructure.md
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@ -9,7 +9,7 @@ title: Military and commercial space architectures are converging on the same di
agent: astra agent: astra
scope: structural scope: structural
sourcer: Breaking Defense sourcer: Breaking Defense
related_claims: ["[[defense spending is the new catalyst for space investment with US Space Force budget jumping 39 percent in one year to 40 billion]]", "[[governments are transitioning from space system builders to space service buyers which structurally advantages nimble commercial providers]]"] related_claims: ["[[defense spending is the new catalyst for space investment with US Space Force budget jumping 39 percent in one year to 40 billion]]", "[[governments are transitioning from space system builders to space service buyers which structurally advantages nimble commercial providers]]", "[[nearly-all-space-technology-is-dual-use-making-arms-control-in-orbit-impossible-without-banning-the-commercial-applications-themselves]]"]
supports: supports:
- Commercial orbital data center interoperability with SDA Tranche 1 optical communications standards reflects deliberate architectural alignment between commercial ODC and operational defense space computing - Commercial orbital data center interoperability with SDA Tranche 1 optical communications standards reflects deliberate architectural alignment between commercial ODC and operational defense space computing
- Golden Dome's Space Data Network requires distributed orbital data processing because sensor-to-shooter missile defense latency constraints make ground-based processing architecturally infeasible - Golden Dome's Space Data Network requires distributed orbital data processing because sensor-to-shooter missile defense latency constraints make ground-based processing architecturally infeasible

7
domains/space-development/orbital data centers are the most speculative near-term space application but the convergence of AI compute demand and falling launch costs attracts serious players.md
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@ -5,6 +5,13 @@ description: "Starcloud trained an LLM in space, Axiom launched orbital nodes, S
confidence: speculative confidence: speculative
source: "Astra, web research compilation February 2026" source: "Astra, web research compilation February 2026"
created: 2026-02-17 created: 2026-02-17
related_claims:
- sda-interoperability-standards-create-dual-use-orbital-compute-architecture-from-inception
- orbital-edge-compute-reached-operational-deployment-january-2026-axiom-kepler-sda-nodes
- spacex-1m-satellite-filing-faces-44x-launch-cadence-gap-between-required-and-achieved-capacity
- orbital-data-center-microgravity-thermal-management-requires-novel-refrigeration-architecture-because-standard-systems-depend-on-gravity
- golden-dome-space-data-network-requires-orbital-compute-for-latency-constraints
- terawave-optical-isl-architecture-creates-independent-communications-product-separate-from-odc-constellation
secondary_domains: secondary_domains:
- critical-systems - critical-systems
depends_on: depends_on:

2
domains/space-development/orbital-data-centers-and-space-based-solar-power-share-identical-infrastructure-requirements-creating-dual-use-revenue-bridge.md
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@ -9,7 +9,7 @@ title: Orbital data centers and space-based solar power share identical infrastr
agent: astra agent: astra
scope: structural scope: structural
sourcer: Data Center Dynamics / The Register / Space.com sourcer: Data Center Dynamics / The Register / Space.com
related_claims: ["[[power is the binding constraint on all space operations because every capability from ISRU to manufacturing to life support is power-limited]]", "[[launch cost reduction is the keystone variable that unlocks every downstream space industry at specific price thresholds]]"] related_claims: ["[[power is the binding constraint on all space operations because every capability from ISRU to manufacturing to life support is power-limited]]", "[[launch cost reduction is the keystone variable that unlocks every downstream space industry at specific price thresholds]]", "[[breakthrough-energy-ventures-investment-in-orbital-solar-infrastructure-signals-sbsp-credibility-as-climate-technology-category]]"]
supports: supports:
- Aetherflux - Aetherflux
- space-based-solar-power-and-orbital-data-centers-share-infrastructure-making-odc-the-near-term-revenue-bridge-to-long-term-sbsp - space-based-solar-power-and-orbital-data-centers-share-infrastructure-making-odc-the-near-term-revenue-bridge-to-long-term-sbsp

2
domains/space-development/single-provider-ltv-selection-creates-artemis-program-concentration-risk.md
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@ -9,7 +9,7 @@ title: Single-provider LTV selection creates program-level concentration risk fo
agent: astra agent: astra
scope: structural scope: structural
sourcer: Lunar Outpost, Lockheed Martin sourcer: Lunar Outpost, Lockheed Martin
related_claims: ["[[commercial space stations are the next infrastructure bet as ISS retirement creates a void that 4 companies are racing to fill by 2030]]"] related_claims: ["[[commercial space stations are the next infrastructure bet as ISS retirement creates a void that 4 companies are racing to fill by 2030]]", "[[wide-portfolio-concentration-creates-single-entity-execution-risk]]"]
supports: supports:
- lunar-outpost - lunar-outpost
related: related:

2
domains/space-development/space governance gaps are widening not narrowing because technology advances exponentially while institutional design advances linearly.md
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@ -11,6 +11,8 @@ depends_on:
secondary_domains: secondary_domains:
- collective-intelligence - collective-intelligence
- grand-strategy - grand-strategy
related_claims:
- nearly-all-space-technology-is-dual-use-making-arms-control-in-orbit-impossible-without-banning-the-commercial-applications-themselves
related: related:
- spacetech-series-a-funding-gap-is-the-structural-bottleneck-because-specialized-vcs-concentrate-at-seed-while-generalists-lack-domain-expertise-for-hardware-companies - spacetech-series-a-funding-gap-is-the-structural-bottleneck-because-specialized-vcs-concentrate-at-seed-while-generalists-lack-domain-expertise-for-hardware-companies
reweave_edges: reweave_edges:

2
domains/space-development/space tugs decouple the launch problem from the orbit problem turning orbital transfer into a service market projected at 1-8B by 2026.md
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@ -5,6 +5,8 @@ description: "In-space logistics enables satellites to ride cheaply to LEO on ri
confidence: experimental confidence: experimental
source: "Astra, web research compilation February 2026" source: "Astra, web research compilation February 2026"
created: 2026-02-17 created: 2026-02-17
related_claims:
- orbital-servicing-crossed-gate-2b-with-government-anchor-contracts-converting-speculative-market-to-operational-industry
depends_on: depends_on:
- "launch cost reduction is the keystone variable that unlocks every downstream space industry at specific price thresholds" - "launch cost reduction is the keystone variable that unlocks every downstream space industry at specific price thresholds"
--- ---

2
domains/space-development/spacex-1m-odc-filing-represents-vertical-integration-at-unprecedented-scale-creating-captive-starship-demand-200x-starlink.md
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@ -9,7 +9,7 @@ title: SpaceX's 1 million orbital data center satellite filing represents vertic
agent: astra agent: astra
scope: structural scope: structural
sourcer: SpaceNews sourcer: SpaceNews
related_claims: ["[[SpaceX vertical integration across launch broadband and manufacturing creates compounding cost advantages that no competitor can replicate piecemeal]]", "[[launch cost reduction is the keystone variable that unlocks every downstream space industry at specific price thresholds]]"] related_claims: ["[[SpaceX vertical integration across launch broadband and manufacturing creates compounding cost advantages that no competitor can replicate piecemeal]]", "[[launch cost reduction is the keystone variable that unlocks every downstream space industry at specific price thresholds]]", "[[spacex-1m-satellite-filing-faces-44x-launch-cadence-gap-between-required-and-achieved-capacity]]"]
supports: supports:
- Orbital data center governance gaps are activating faster than prior space sectors as astronomers challenged SpaceX's 1M satellite filing before the public comment period closed - Orbital data center governance gaps are activating faster than prior space sectors as astronomers challenged SpaceX's 1M satellite filing before the public comment period closed
- Blue Origin's Project Sunrise filing signals an emerging SpaceX/Blue Origin duopoly in orbital compute infrastructure mirroring their launch market structure where vertical integration creates insurmountable competitive moats - Blue Origin's Project Sunrise filing signals an emerging SpaceX/Blue Origin duopoly in orbital compute infrastructure mirroring their launch market structure where vertical integration creates insurmountable competitive moats

4
domains/space-development/the 30-year space economy attractor state is a cislunar industrial system with propellant networks lunar ISRU orbital manufacturing and partial life support closure.md
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@ -5,6 +5,10 @@ description: "By 2056 the converged cislunar architecture includes propellant de
confidence: experimental confidence: experimental
source: "Astra synthesis from NASA Artemis architecture, ESA Moon Village concept, multiple ISRU roadmaps, and attractor state framework from Rumelt/Teleological Investing" source: "Astra synthesis from NASA Artemis architecture, ESA Moon Village concept, multiple ISRU roadmaps, and attractor state framework from Rumelt/Teleological Investing"
created: 2026-03-07 created: 2026-03-07
related_claims:
- gateway-cancellation-eliminated-orbital-infrastructure-value-layer-from-cislunar-economy
- lunar-isru-trl-gap-creates-decade-long-vulnerability-in-surface-first-architecture
- nasa-project-ignition-south-pole-location-is-isru-first-architectural-commitment
challenged_by: "The five-layer architecture assumes coordinated investment across layers that may not materialize -- chain-link failure risk means any single missing layer (especially power or propellant) can strand the others indefinitely. Also, Starship-era launch costs may undercut some ISRU economics (see [[falling launch costs paradoxically both enable and threaten in-space resource utilization by making infrastructure affordable while competing with the end product]])" challenged_by: "The five-layer architecture assumes coordinated investment across layers that may not materialize -- chain-link failure risk means any single missing layer (especially power or propellant) can strand the others indefinitely. Also, Starship-era launch costs may undercut some ISRU economics (see [[falling launch costs paradoxically both enable and threaten in-space resource utilization by making infrastructure affordable while competing with the end product]])"
--- ---

3
domains/space-development/the Artemis Accords replace multilateral treaty-making with bilateral norm-setting to create governance through coalition practice rather than universal consensus.md
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@ -5,6 +5,9 @@ description: "61 nations signed bilateral accords establishing resource extracti
confidence: likely confidence: likely
source: "Artemis Accords text (2020), signatory count (61 as of January 2026), US State Department bilateral framework, comparison with Moon Agreement ratification failure" source: "Artemis Accords text (2020), signatory count (61 as of January 2026), US State Department bilateral framework, comparison with Moon Agreement ratification failure"
created: 2026-03-08 created: 2026-03-08
related_claims:
- nearly-all-space-technology-is-dual-use-making-arms-control-in-orbit-impossible-without-banning-the-commercial-applications-themselves
- gateway-cancellation-sets-precedent-for-unilateral-voiding-of-multilateral-space-commitments
challenged_by: challenged_by:
- The Accords may be less durable than treaties because they lack binding enforcement. If a signatory violates safety zone norms or resource extraction principles, no mechanism compels compliance. The bilateral structure also means each agreement is slightly different, creating potential inconsistencies that multilateral treaties avoid. And the China/Russia exclusion creates a bifurcated governance regime that could escalate into resource conflicts at contested sites like the lunar south pole. - The Accords may be less durable than treaties because they lack binding enforcement. If a signatory violates safety zone norms or resource extraction principles, no mechanism compels compliance. The bilateral structure also means each agreement is slightly different, creating potential inconsistencies that multilateral treaties avoid. And the China/Russia exclusion creates a bifurcated governance regime that could escalate into resource conflicts at contested sites like the lunar south pole.
supports: supports:

3
domains/space-development/the Outer Space Treaty created a constitutional framework for space but left resource rights property and settlement governance deliberately ambiguous.md
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@ -5,6 +5,9 @@ description: "The 1967 OST with 118 state parties prohibits sovereignty claims o
confidence: proven confidence: proven
source: "Outer Space Treaty (1967) text, Moon Agreement (1979) ratification record (17 states, no major space power), UNCOPUOS proceedings, legal scholarship on OST Article II interpretation" source: "Outer Space Treaty (1967) text, Moon Agreement (1979) ratification record (17 states, no major space power), UNCOPUOS proceedings, legal scholarship on OST Article II interpretation"
created: 2026-03-08 created: 2026-03-08
related_claims:
- nearly-all-space-technology-is-dual-use-making-arms-control-in-orbit-impossible-without-banning-the-commercial-applications-themselves
- gateway-cancellation-sets-precedent-for-unilateral-voiding-of-multilateral-space-commitments
related: related:
- the Artemis Accords create a de facto legal framework for space resource extraction signed by 61 countries but contested by China and Russia - the Artemis Accords create a de facto legal framework for space resource extraction signed by 61 countries but contested by China and Russia
reweave_edges: reweave_edges:

3
domains/space-development/water is the strategic keystone resource of the cislunar economy because it simultaneously serves as propellant life support radiation shielding and thermal management.md
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@ -6,6 +6,9 @@ confidence: likely
source: "Astra synthesis from LCROSS mission data, Chandrayaan-1, LRO, Lockheed Martin lunar architecture concepts, NASA ISRU roadmaps" source: "Astra synthesis from LCROSS mission data, Chandrayaan-1, LRO, Lockheed Martin lunar architecture concepts, NASA ISRU roadmaps"
created: 2026-03-07 created: 2026-03-07
challenged_by: "Lunar water ice abundance and extractability remain uncertain until VIPER provides ground truth. Permanently shadowed crater operations face extreme engineering challenges (cryogenic temperatures, no solar power, communication difficulties). If deposits prove thin or heterogeneous, the entire cislunar water economy timeline shifts by a decade or more." challenged_by: "Lunar water ice abundance and extractability remain uncertain until VIPER provides ground truth. Permanently shadowed crater operations face extreme engineering challenges (cryogenic temperatures, no solar power, communication difficulties). If deposits prove thin or heterogeneous, the entire cislunar water economy timeline shifts by a decade or more."
related_claims:
- lunar-isru-trl-gap-creates-decade-long-vulnerability-in-surface-first-architecture
- nasa-project-ignition-south-pole-location-is-isru-first-architectural-commitment
--- ---
# water is the strategic keystone resource of the cislunar economy because it simultaneously serves as propellant life support radiation shielding and thermal management # water is the strategic keystone resource of the cislunar economy because it simultaneously serves as propellant life support radiation shielding and thermal management

1
foundations/collective-intelligence/RLHF and DPO both fail at preference diversity because they assume a single reward function can capture context-dependent human values.md
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@ -16,6 +16,7 @@ related:
- learning human values from observed behavior through inverse reinforcement learning is structurally safer than specifying objectives directly because the agent maintains uncertainty about what humans actually want - learning human values from observed behavior through inverse reinforcement learning is structurally safer than specifying objectives directly because the agent maintains uncertainty about what humans actually want
- sycophancy-is-paradigm-level-failure-across-all-frontier-models-suggesting-rlhf-systematically-produces-approval-seeking - sycophancy-is-paradigm-level-failure-across-all-frontier-models-suggesting-rlhf-systematically-produces-approval-seeking
- large language models encode social intelligence as compressed cultural ratchet not abstract reasoning because every parameter is a residue of communicative exchange and reasoning manifests as multi-perspective dialogue not calculation - large language models encode social intelligence as compressed cultural ratchet not abstract reasoning because every parameter is a residue of communicative exchange and reasoning manifests as multi-perspective dialogue not calculation
- collective-intelligence-architectures-are-underexplored-for-alignment-despite-addressing-core-problems
reweave_edges: reweave_edges:
- rlchf-aggregated-rankings-variant-combines-evaluator-rankings-via-social-welfare-function-before-reward-model-training|related|2026-03-28 - rlchf-aggregated-rankings-variant-combines-evaluator-rankings-via-social-welfare-function-before-reward-model-training|related|2026-03-28
- rlhf-is-implicit-social-choice-without-normative-scrutiny|related|2026-03-28 - rlhf-is-implicit-social-choice-without-normative-scrutiny|related|2026-03-28

2
foundations/collective-intelligence/collective intelligence requires diversity as a structural precondition not a moral preference.md
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@ -6,6 +6,8 @@ domain: collective-intelligence
created: 2026-02-16 created: 2026-02-16
confidence: proven confidence: proven
source: "TeleoHumanity Manifesto, Chapter 4" source: "TeleoHumanity Manifesto, Chapter 4"
related:
- multi-agent-systems-amplify-provider-level-biases-through-recursive-reasoning-requiring-provider-diversity-for-collective-intelligence
supports: supports:
- human ideas naturally converge toward similarity over social learning chains making AI a net diversity injector rather than a homogenizer under high-exposure conditions - human ideas naturally converge toward similarity over social learning chains making AI a net diversity injector rather than a homogenizer under high-exposure conditions
reweave_edges: reweave_edges:

5
foundations/collective-intelligence/scalable oversight degrades rapidly as capability gaps grow with debate achieving only 50 percent success at moderate gaps.md
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@ -14,6 +14,11 @@ reweave_edges:
- iterated distillation and amplification preserves alignment across capability scaling by keeping humans in the loop at every iteration but distillation errors may compound making the alignment guarantee probabilistic not absolute|related|2026-04-06 - iterated distillation and amplification preserves alignment across capability scaling by keeping humans in the loop at every iteration but distillation errors may compound making the alignment guarantee probabilistic not absolute|related|2026-04-06
related: related:
- iterated distillation and amplification preserves alignment across capability scaling by keeping humans in the loop at every iteration but distillation errors may compound making the alignment guarantee probabilistic not absolute - iterated distillation and amplification preserves alignment across capability scaling by keeping humans in the loop at every iteration but distillation errors may compound making the alignment guarantee probabilistic not absolute
- behavioral-divergence-between-evaluation-and-deployment-is-bounded-by-regime-information-extractable-from-internal-representations
- chain-of-thought-monitorability-is-time-limited-governance-window
- inference-time-compute-creates-non-monotonic-safety-scaling-where-extended-reasoning-degrades-alignment
- circuit-tracing-bottleneck-hours-per-prompt-limits-interpretability-scaling
- verification-of-meaningful-human-control-is-technically-infeasible-because-ai-decision-opacity-and-adversarial-resistance-defeat-external-audit
--- ---
# scalable oversight degrades rapidly as capability gaps grow with debate achieving only 50 percent success at moderate gaps # scalable oversight degrades rapidly as capability gaps grow with debate achieving only 50 percent success at moderate gaps

2
foundations/collective-intelligence/the alignment tax creates a structural race to the bottom because safety training costs capability and rational competitors skip it.md
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@ -12,6 +12,8 @@ related:
- surveillance-of-AI-reasoning-traces-degrades-trace-quality-through-self-censorship-making-consent-gated-sharing-an-alignment-requirement-not-just-a-privacy-preference - surveillance-of-AI-reasoning-traces-degrades-trace-quality-through-self-censorship-making-consent-gated-sharing-an-alignment-requirement-not-just-a-privacy-preference
- the absence of a societal warning signal for AGI is a structural feature not an accident because capability scaling is gradual and ambiguous and collective action requires anticipation not reaction - the absence of a societal warning signal for AGI is a structural feature not an accident because capability scaling is gradual and ambiguous and collective action requires anticipation not reaction
- Frontier AI labs allocate 6-15% of research headcount to safety versus 60-75% to capabilities with the ratio declining since 2024 as capabilities teams grow faster than safety teams - Frontier AI labs allocate 6-15% of research headcount to safety versus 60-75% to capabilities with the ratio declining since 2024 as capabilities teams grow faster than safety teams
- non-autoregressive-architectures-reduce-jailbreak-vulnerability-through-elimination-of-continuation-drive-at-capability-cost
- voluntary-safety-constraints-without-external-enforcement-are-statements-of-intent-not-binding-governance
reweave_edges: reweave_edges:
- AI talent circulation between frontier labs transfers alignment culture not just capability because researchers carry safety methodologies and institutional norms to their new organizations|related|2026-03-28 - AI talent circulation between frontier labs transfers alignment culture not just capability because researchers carry safety methodologies and institutional norms to their new organizations|related|2026-03-28
- surveillance-of-AI-reasoning-traces-degrades-trace-quality-through-self-censorship-making-consent-gated-sharing-an-alignment-requirement-not-just-a-privacy-preference|related|2026-03-28 - surveillance-of-AI-reasoning-traces-degrades-trace-quality-through-self-censorship-making-consent-gated-sharing-an-alignment-requirement-not-just-a-privacy-preference|related|2026-03-28