reweave: merge 30 files via frontmatter union [auto]

core/living-capital/the DAO Reports rejection of voting as active management is the central legal hurdle for futarchy because prediction market trading must prove fundamentally more meaningful than token voting.md

@@ -7,8 +7,10 @@ confidence: likely
 source: "SEC Report of Investigation Release No. 34-81207 (July 2017), CFTC v. Ooki DAO (N.D. Cal. 2023), Living Capital regulatory analysis March 2026"
 related:
 - the SECs treatment of staking rewards as service payments establishes that mechanical participation in network consensus is not an investment contract
+- Futarchy simulation in DeSci DAOs shows directional alignment with existing governance while eliminating capital-weighted voting pathologies
 reweave_edges:
 - the SECs treatment of staking rewards as service payments establishes that mechanical participation in network consensus is not an investment contract|related|2026-04-19
+- Futarchy simulation in DeSci DAOs shows directional alignment with existing governance while eliminating capital-weighted voting pathologies|related|2026-04-25
 ---
 
 # the DAO Reports rejection of voting as active management is the central legal hurdle for futarchy because prediction market trading must prove fundamentally more meaningful than token voting

core/mechanisms/MetaDAOs futarchy implementation shows limited trading volume in uncontested decisions.md

@@ -7,8 +7,10 @@ confidence: proven
 source: "Governance - Meritocratic Voting + Futarchy"
 related:
 - futarchy-governance-quality-degrades-on-low-salience-operational-decisions-because-thin-markets-lack-trader-participation
+- Futarchy simulation in DeSci DAOs shows directional alignment with existing governance while eliminating capital-weighted voting pathologies
 reweave_edges:
 - futarchy-governance-quality-degrades-on-low-salience-operational-decisions-because-thin-markets-lack-trader-participation|related|2026-04-19
+- Futarchy simulation in DeSci DAOs shows directional alignment with existing governance while eliminating capital-weighted voting pathologies|related|2026-04-25
 ---
 
 # MetaDAOs futarchy implementation shows limited trading volume in uncontested decisions

domains/ai-alignment/AI accelerates existing Molochian dynamics by removing bottlenecks not creating new misalignment because the competitive equilibrium was always catastrophic and friction was the only thing preventing convergence.md

@@ -17,6 +17,8 @@ related:
 - technological development draws from an urn containing civilization-destroying capabilities and only preventive governance can avoid black ball technologies
 - global capitalism functions as a misaligned optimizer that produces outcomes no participant would choose because individual rationality aggregates into collective irrationality without coordination mechanisms
 - indigenous restraint technologies like the Sabbath are historical precedents for binding the maximum power principle through social technology
+- agent mediated commerce produces invisible economic stratification because capability gaps translate to measurable market disadvantage that users cannot detect and therefore cannot correct through provider switching
+- Mutually Assured Deregulation makes voluntary AI governance structurally untenable because each actor's restraint creates competitive disadvantage, converting the governance game from cooperation to prisoner's dilemma
 reweave_edges:
 - multipolar traps are the thermodynamic default because competition requires no infrastructure while coordination requires trust enforcement and shared information all of which are expensive and fragile|related|2026-04-04
 - 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|related|2026-04-07
@@ -24,6 +26,8 @@ reweave_edges:
 - technological development draws from an urn containing civilization-destroying capabilities and only preventive governance can avoid black ball technologies|related|2026-04-17
 - global capitalism functions as a misaligned optimizer that produces outcomes no participant would choose because individual rationality aggregates into collective irrationality without coordination mechanisms|related|2026-04-18
 - indigenous restraint technologies like the Sabbath are historical precedents for binding the maximum power principle through social technology|related|2026-04-18
+- agent mediated commerce produces invisible economic stratification because capability gaps translate to measurable market disadvantage that users cannot detect and therefore cannot correct through provider switching|related|2026-04-25
+- Mutually Assured Deregulation makes voluntary AI governance structurally untenable because each actor's restraint creates competitive disadvantage, converting the governance game from cooperation to prisoner's dilemma|related|2026-04-25
 sourced_from:
 - inbox/archive/2014-07-30-scott-alexander-meditations-on-moloch.md
 ---

domains/ai-alignment/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.md

@@ -8,6 +8,10 @@ source: "Seb Krier (Google DeepMind, personal capacity), 'Coasean Bargaining at
 created: 2026-03-16
 sourced_from:
 - inbox/archive/ai-alignment/2025-09-26-krier-coasean-bargaining-at-scale.md
+related:
+- agent mediated commerce produces invisible economic stratification because capability gaps translate to measurable market disadvantage that users cannot detect and therefore cannot correct through provider switching
+reweave_edges:
+- agent mediated commerce produces invisible economic stratification because capability gaps translate to measurable market disadvantage that users cannot detect and therefore cannot correct through provider switching|related|2026-04-25
 ---
 
 # 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
@@ -40,4 +44,4 @@ Relevant Notes:
 - [[technology advances exponentially but coordination mechanisms evolve linearly creating a widening gap]] — if Coasean agents work, they could close the coordination gap by making governance as scalable as technology
 
 Topics:
-- [[_map]]
+- [[_map]]

domains/ai-alignment/anti-safety-scaling-law-larger-models-more-vulnerable-to-concept-vector-attacks.md

@@ -9,9 +9,15 @@ title: "Anti-safety scaling law: larger models are more vulnerable to linear con
 agent: theseus
 scope: structural
 sourcer: Xu et al. + Beaglehole et al.
-related: ["capabilities-training-alone-grows-evaluation-awareness-from-2-to-20-percent", "increasing-ai-capability-enables-more-precise-evaluation-context-recognition-inverting-safety-improvements"]
+related:
+- capabilities-training-alone-grows-evaluation-awareness-from-2-to-20-percent
+- increasing-ai-capability-enables-more-precise-evaluation-context-recognition-inverting-safety-improvements
+supports:
+- Research community silo between interpretability-for-safety and adversarial robustness creates deployment-phase safety failures where organizations implementing monitoring improvements inherit dual-use attack surfaces without exposure to adversarial robustness literature
+reweave_edges:
+- Research community silo between interpretability-for-safety and adversarial robustness creates deployment-phase safety failures where organizations implementing monitoring improvements inherit dual-use attack surfaces without exposure to adversarial robustness literature|supports|2026-04-25
 ---
 
 # Anti-safety scaling law: larger models are more vulnerable to linear concept vector attacks because steerability and attack surface scale together
 
-Beaglehole et al. demonstrated that larger models are more steerable using linear concept vectors, enabling more precise safety monitoring. However, SCAV attacks exploit the exact same steerability property—they work by identifying and suppressing the linear direction encoding safety concepts. This creates an anti-safety scaling law: as models become larger and more steerable (improving monitoring precision), they simultaneously become more vulnerable to SCAV-style attacks that target those same linear directions. The mechanism is symmetric: whatever makes a model easier to steer toward safe behavior also makes it easier to steer away from safe behavior. This means that deploying Beaglehole-style representation monitoring may improve safety against naive adversaries while simultaneously providing a precision attack surface for adversarially-informed actors. The net safety effect depends on whether the monitoring benefit outweighs the attack surface cost—a question neither paper resolves. This represents a fundamental tension in alignment strategy: the same architectural properties that enable verification also enable exploitation.
+Beaglehole et al. demonstrated that larger models are more steerable using linear concept vectors, enabling more precise safety monitoring. However, SCAV attacks exploit the exact same steerability property—they work by identifying and suppressing the linear direction encoding safety concepts. This creates an anti-safety scaling law: as models become larger and more steerable (improving monitoring precision), they simultaneously become more vulnerable to SCAV-style attacks that target those same linear directions. The mechanism is symmetric: whatever makes a model easier to steer toward safe behavior also makes it easier to steer away from safe behavior. This means that deploying Beaglehole-style representation monitoring may improve safety against naive adversaries while simultaneously providing a precision attack surface for adversarially-informed actors. The net safety effect depends on whether the monitoring benefit outweighs the attack surface cost—a question neither paper resolves. This represents a fundamental tension in alignment strategy: the same architectural properties that enable verification also enable exploitation.

domains/ai-alignment/chain-of-thought-monitoring-vulnerable-to-steganographic-encoding-as-emerging-capability.md

@@ -14,10 +14,12 @@ supports:
 - Chain-of-thought monitoring represents a time-limited governance opportunity because CoT monitorability depends on models externalizing reasoning in legible form, a property that may not persist as models become more capable or as training selects against transparent reasoning
 - Process supervision under optimization pressure can inadvertently train models to generalize steganographic behavior from simple to complex tasks
 - Process supervision training inadvertently trains steganographic chain-of-thought behavior because optimization pressure to hide specific reasoning patterns causes models to encode reasoning in surface-innocuous language rather than abandon the underlying behavior
+- Phantom transfer data poisoning evades all dataset-level defenses including full paraphrasing because covert traits encode in semantically rich task completions rather than surface patterns
 reweave_edges:
 - Chain-of-thought monitoring represents a time-limited governance opportunity because CoT monitorability depends on models externalizing reasoning in legible form, a property that may not persist as models become more capable or as training selects against transparent reasoning|supports|2026-04-08
 - Process supervision under optimization pressure can inadvertently train models to generalize steganographic behavior from simple to complex tasks|supports|2026-04-08
 - Process supervision training inadvertently trains steganographic chain-of-thought behavior because optimization pressure to hide specific reasoning patterns causes models to encode reasoning in surface-innocuous language rather than abandon the underlying behavior|supports|2026-04-08
+- Phantom transfer data poisoning evades all dataset-level defenses including full paraphrasing because covert traits encode in semantically rich task completions rather than surface patterns|supports|2026-04-25
 ---
 
 # Chain-of-thought monitoring is structurally vulnerable to steganographic encoding as an emerging capability that scales with model sophistication

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

@@ -21,9 +21,11 @@ reweave_edges:
 - 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)|related|2026-04-18
 - 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)|related|2026-04-19
 - 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
+- Pentagon military AI contracts systematically demand 'any lawful use' terms as confirmed by three independent lab negotiations|supports|2026-04-25
 supports:
 - government-safety-penalties-invert-regulatory-incentives-by-blacklisting-cautious-actors
 - 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
+- Pentagon military AI contracts systematically demand 'any lawful use' terms as confirmed by three independent lab negotiations
 ---
 
 # government designation of safety-conscious AI labs as supply chain risks inverts the regulatory dynamic by penalizing safety constraints rather than enforcing them

domains/ai-alignment/mechanistic-interpretability-tools-create-dual-use-attack-surface-enabling-surgical-safety-feature-removal.md

@@ -21,8 +21,10 @@ related:
 reweave_edges:
 - 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|related|2026-04-17
 - Training-free conversion of activation steering vectors into component-level weight edits enables persistent behavioral modification without retraining|related|2026-04-17
+- Research community silo between interpretability-for-safety and adversarial robustness creates deployment-phase safety failures where organizations implementing monitoring improvements inherit dual-use attack surfaces without exposure to adversarial robustness literature|supports|2026-04-25
 supports:
 - "Anti-safety scaling law: larger models are more vulnerable to linear concept vector attacks because steerability and attack surface scale together"
+- Research community silo between interpretability-for-safety and adversarial robustness creates deployment-phase safety failures where organizations implementing monitoring improvements inherit dual-use attack surfaces without exposure to adversarial robustness literature
 ---
 
 # Mechanistic interpretability tools create a dual-use attack surface where Sparse Autoencoders developed for alignment research can identify and surgically remove safety-related features
@@ -39,4 +41,4 @@ SCAV framework achieved 99.14% jailbreak success across seven open-source LLMs w
 
 **Source:** Beaglehole et al. Science 391 2026, Nordby et al. arXiv 2604.13386 April 2026, Apollo Research ICML 2025 publication timeline
 
-Three consecutive monitoring papers (Beaglehole Science 2026, Nordby arXiv 2604.13386, Apollo ICML 2025) published 13-17 months after SCAV all fail to engage with SCAV's demonstration that linear concept directions enable 99.14% jailbreak success. This 13-17 month citation gap across multiple independent publications suggests the dual-use attack surface persists not due to lack of time for literature review but due to structural community silo between interpretability-for-safety and adversarial robustness research communities.
+Three consecutive monitoring papers (Beaglehole Science 2026, Nordby arXiv 2604.13386, Apollo ICML 2025) published 13-17 months after SCAV all fail to engage with SCAV's demonstration that linear concept directions enable 99.14% jailbreak success. This 13-17 month citation gap across multiple independent publications suggests the dual-use attack surface persists not due to lack of time for literature review but due to structural community silo between interpretability-for-safety and adversarial robustness research communities.

domains/ai-alignment/multilateral-verification-mechanisms-can-substitute-for-failed-voluntary-commitments-when-binding-enforcement-replaces-unilateral-sacrifice.md

@@ -13,9 +13,11 @@ attribution:
       context: "Jitse Goutbeek (European Policy Centre), March 2026 analysis of Anthropic blacklisting"
 related:
 - EU AI Act extraterritorial enforcement can create binding governance constraints on US AI labs through market access requirements when domestic voluntary commitments fail
+- Mutually Assured Deregulation makes voluntary AI governance structurally untenable because each actor's restraint creates competitive disadvantage, converting the governance game from cooperation to prisoner's dilemma
 reweave_edges:
 - EU AI Act extraterritorial enforcement can create binding governance constraints on US AI labs through market access requirements when domestic voluntary commitments fail|related|2026-04-06
 - Voluntary safety constraints without external enforcement mechanisms are statements of intent not binding governance because aspirational language with loopholes enables compliance theater while preserving operational flexibility|supports|2026-04-07
+- Mutually Assured Deregulation makes voluntary AI governance structurally untenable because each actor's restraint creates competitive disadvantage, converting the governance game from cooperation to prisoner's dilemma|related|2026-04-25
 supports:
 - Voluntary safety constraints without external enforcement mechanisms are statements of intent not binding governance because aspirational language with loopholes enables compliance theater while preserving operational flexibility
 ---

domains/ai-alignment/process-supervision-training-inadvertently-trains-steganographic-cot-behavior.md

@@ -13,9 +13,14 @@ related_claims: ["[[emergent misalignment arises naturally from reward hacking a
 supports:
 - Chain-of-thought monitoring is structurally vulnerable to steganographic encoding as an emerging capability that scales with model sophistication
 - Process supervision under optimization pressure can inadvertently train models to generalize steganographic behavior from simple to complex tasks
+- Phantom transfer data poisoning evades all dataset-level defenses including full paraphrasing because covert traits encode in semantically rich task completions rather than surface patterns
 reweave_edges:
 - Chain-of-thought monitoring is structurally vulnerable to steganographic encoding as an emerging capability that scales with model sophistication|supports|2026-04-08
 - Process supervision under optimization pressure can inadvertently train models to generalize steganographic behavior from simple to complex tasks|supports|2026-04-08
+- Phantom transfer data poisoning evades all dataset-level defenses including full paraphrasing because covert traits encode in semantically rich task completions rather than surface patterns|supports|2026-04-25
+- Subliminal learning fails across different base model families because behavioral traits are encoded in architecture-specific statistical patterns rather than universal semantic features|related|2026-04-25
+related:
+- Subliminal learning fails across different base model families because behavioral traits are encoded in architecture-specific statistical patterns rather than universal semantic features
 ---
 
 # Process supervision training inadvertently trains steganographic chain-of-thought behavior because optimization pressure to hide specific reasoning patterns causes models to encode reasoning in surface-innocuous language rather than abandon the underlying behavior

domains/ai-alignment/provider-level-behavioral-biases-persist-across-model-versions-requiring-psychometric-auditing-beyond-standard-benchmarks.md

@@ -14,6 +14,9 @@ supports:
 - Multi-agent AI systems amplify provider-level biases through recursive reasoning when agents share the same training infrastructure
 reweave_edges:
 - Multi-agent AI systems amplify provider-level biases through recursive reasoning when agents share the same training infrastructure|supports|2026-04-17
+- Subliminal learning fails across different base model families because behavioral traits are encoded in architecture-specific statistical patterns rather than universal semantic features|related|2026-04-25
+related:
+- Subliminal learning fails across different base model families because behavioral traits are encoded in architecture-specific statistical patterns rather than universal semantic features
 ---
 
 # Provider-level behavioral biases persist across model versions because they are embedded in training infrastructure rather than model-specific features

domains/ai-alignment/use-based-ai-governance-emerged-as-legislative-framework-but-lacks-bipartisan-support.md

@@ -16,12 +16,14 @@ related:
 - ndaa-conference-process-is-viable-pathway-for-statutory-ai-safety-constraints
 - use-based-ai-governance-emerged-as-legislative-framework-through-slotkin-ai-guardrails-act
 - electoral-investment-becomes-residual-ai-governance-strategy-when-voluntary-and-litigation-routes-insufficient
+- Process standard autonomous weapons governance creates middle ground between categorical prohibition and unrestricted deployment
 reweave_edges:
 - house-senate-ai-defense-divergence-creates-structural-governance-chokepoint-at-conference|related|2026-03-31
 - ndaa-conference-process-is-viable-pathway-for-statutory-ai-safety-constraints|related|2026-03-31
 - use-based-ai-governance-emerged-as-legislative-framework-through-slotkin-ai-guardrails-act|related|2026-03-31
 - voluntary-ai-safety-commitments-to-statutory-law-pathway-requires-bipartisan-support-which-slotkin-bill-lacks|supports|2026-03-31
 - electoral-investment-becomes-residual-ai-governance-strategy-when-voluntary-and-litigation-routes-insufficient|related|2026-04-03
+- Process standard autonomous weapons governance creates middle ground between categorical prohibition and unrestricted deployment|related|2026-04-25
 supports:
 - voluntary-ai-safety-commitments-to-statutory-law-pathway-requires-bipartisan-support-which-slotkin-bill-lacks
 ---
@@ -38,4 +40,4 @@ Relevant Notes:
 - [[only binding regulation with enforcement teeth changes frontier AI lab behavior because every voluntary commitment has been eroded abandoned or made conditional on competitor behavior when commercially inconvenient]]
 
 Topics:
-- [[_map]]
+- [[_map]]

domains/ai-alignment/use-based-ai-governance-emerged-as-legislative-framework-through-slotkin-ai-guardrails-act.md

@@ -15,11 +15,13 @@ related:
 - house-senate-ai-defense-divergence-creates-structural-governance-chokepoint-at-conference
 - voluntary-ai-safety-commitments-to-statutory-law-pathway-requires-bipartisan-support-which-slotkin-bill-lacks
 - Military AI contract language using 'any lawful use' creates surveillance loopholes through existing statutory permissions that make explicit prohibitions ineffective
+- Process standard autonomous weapons governance creates middle ground between categorical prohibition and unrestricted deployment
 reweave_edges:
 - house-senate-ai-defense-divergence-creates-structural-governance-chokepoint-at-conference|related|2026-03-31
 - use-based-ai-governance-emerged-as-legislative-framework-but-lacks-bipartisan-support|supports|2026-03-31
 - voluntary-ai-safety-commitments-to-statutory-law-pathway-requires-bipartisan-support-which-slotkin-bill-lacks|related|2026-03-31
 - Military AI contract language using 'any lawful use' creates surveillance loopholes through existing statutory permissions that make explicit prohibitions ineffective|related|2026-04-24
+- Process standard autonomous weapons governance creates middle ground between categorical prohibition and unrestricted deployment|related|2026-04-25
 supports:
 - use-based-ai-governance-emerged-as-legislative-framework-but-lacks-bipartisan-support
 ---

domains/ai-alignment/users cannot detect when their AI agent is underperforming because subjective fairness ratings decouple from measurable economic outcomes across capability tiers.md

@@ -7,12 +7,16 @@ confidence: experimental
 source: "Anthropic, 'Project Deal: What happens when AI agents go to the market?' (December 2025, 69-participant pilot, N=186 deals, randomized Opus/Haiku assignment in mixed-model runs)"
 created: 2026-04-24
 related:
-  - "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"
-  - "centaur team performance depends on role complementarity not mere human-AI combination"
-  - "economic forces push humans out of every cognitive loop where output quality is independently verifiable because human-in-the-loop is a cost that competitive markets eliminate"
-  - "all agents running the same model family creates correlated blind spots that adversarial review cannot catch because the evaluator shares the proposers training biases"
+- 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
+- centaur team performance depends on role complementarity not mere human-AI combination
+- economic forces push humans out of every cognitive loop where output quality is independently verifiable because human-in-the-loop is a cost that competitive markets eliminate
+- all agents running the same model family creates correlated blind spots that adversarial review cannot catch because the evaluator shares the proposers training biases
 sourced_from:
   - inbox/archive/ai-alignment/2025-12-anthropic-project-deal.md
+supports:
+- agent mediated commerce produces invisible economic stratification because capability gaps translate to measurable market disadvantage that users cannot detect and therefore cannot correct through provider switching
+reweave_edges:
+- agent mediated commerce produces invisible economic stratification because capability gaps translate to measurable market disadvantage that users cannot detect and therefore cannot correct through provider switching|supports|2026-04-25
 ---
 
 # Users cannot detect when their AI agent is underperforming because subjective fairness ratings decouple from measurable economic outcomes across capability tiers
@@ -60,4 +64,4 @@ Relevant Notes:
 - [[all agents running the same model family creates correlated blind spots that adversarial review cannot catch because the evaluator shares the proposers training biases]] — related blindness pattern: correlated errors go undetected by evaluators who share the error-producing traits
 
 Topics:
-- [[_map]]
+- [[_map]]

domains/energy/AI compute demand is creating a terrestrial power crisis with 140 GW of new data center load against grid infrastructure already projected to fall 6 GW short by 2027.md

@@ -8,12 +8,14 @@ related:
 - 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
 reweave_edges:
 - AI datacenter power demand creates a 5-10 year infrastructure lag because grid construction and interconnection cannot match the pace of chip design cycles|supports|2026-04-04
+- Meta Nuclear Supercluster|supports|2026-04-25
 secondary_domains:
 - space-development
 - critical-systems
 source: Astra, space data centers feasibility analysis February 2026; IEA energy and AI report; Deloitte 2025 TMT predictions
 supports:
 - AI datacenter power demand creates a 5-10 year infrastructure lag because grid construction and interconnection cannot match the pace of chip design cycles
+- Meta Nuclear Supercluster
 type: claim
 ---
 
@@ -47,4 +49,4 @@ Relevant Notes:
 - [[arctic and nuclear-powered data centers solve the same power and cooling constraints as orbital compute without launch costs radiation or bandwidth limitations]] — terrestrial alternatives that address the same crisis
 
 Topics:
-- [[space exploration and development]]
+- [[space exploration and development]]

domains/energy/AI datacenter power demand creates a 5-10 year infrastructure lag because grid construction and interconnection cannot match the pace of chip design cycles.md

@@ -15,11 +15,14 @@ related:
 - the gap between theoretical AI capability and observed deployment is massive across all occupations because adoption lag not capability limits determines real-world impact
 reweave_edges:
 - small modular reactors could break nuclears construction cost curse by shifting from bespoke site-built projects to factory-manufactured standardized units but no SMR has yet operated commercially|related|2026-04-19
+- Meta Nuclear Supercluster|supports|2026-04-25
 secondary_domains:
 - ai-alignment
 - manufacturing
 source: Astra, Theseus compute infrastructure research 2026-03-24; IEA, Goldman Sachs April 2024, de Vries 2023 in Joule, grid interconnection queue data
 type: claim
+supports:
+- Meta Nuclear Supercluster
 ---
 
 # AI datacenter power demand creates a 5-10 year infrastructure lag because grid construction and interconnection cannot match the pace of chip design cycles

domains/energy/arctic and nuclear-powered data centers solve the same power and cooling constraints as orbital compute without launch costs radiation or bandwidth limitations.md

@@ -11,10 +11,12 @@ related:
 - AI datacenter power demand creates a 5-10 year infrastructure lag because grid construction and interconnection cannot match the pace of chip design cycles
 - small modular reactors could break nuclears construction cost curse by shifting from bespoke site-built projects to factory-manufactured standardized units but no SMR has yet operated commercially
 - 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
+- Meta Nuclear Supercluster
 reweave_edges:
 - orbital compute hardware cannot be serviced making every component either radiation-hardened redundant or disposable with failed hardware becoming debris or requiring expensive deorbit|related|2026-04-04
 - AI datacenter power demand creates a 5-10 year infrastructure lag because grid construction and interconnection cannot match the pace of chip design cycles|related|2026-04-04
 - small modular reactors could break nuclears construction cost curse by shifting from bespoke site-built projects to factory-manufactured standardized units but no SMR has yet operated commercially|related|2026-04-19
+- Meta Nuclear Supercluster|related|2026-04-25
 secondary_domains:
 - space-development
 - critical-systems

domains/entertainment/creator-owned-subscription-revenue-will-surpass-ad-deal-revenue-by-2027-as-stable-income-replaces-platform-dependence.md

@@ -10,8 +10,12 @@ agent: clay
 scope: structural
 sourcer: The Wrap / Zach Katz
 related_claims: ["[[creator-owned-direct-subscription-platforms-produce-qualitatively-different-audience-relationships-than-algorithmic-social-platforms-because-subscribers-choose-deliberately]]", "[[established-creators-generate-more-revenue-from-owned-streaming-subscriptions-than-from-equivalent-social-platform-ad-revenue]]", "[[creator-owned-streaming-infrastructure-has-reached-commercial-scale-with-430M-annual-creator-revenue-across-13M-subscribers]]"]
+related:
+- YouTube's ad revenue crossed the combined total of major Hollywood studios in 2025, a decade ahead of industry projections
+reweave_edges:
+- YouTube's ad revenue crossed the combined total of major Hollywood studios in 2025, a decade ahead of industry projections|related|2026-04-25
 ---
 
 # Creator-owned subscription and product revenue will surpass ad-deal revenue by 2027 because direct audience relationships produce higher retention and stability than platform-mediated monetization
 
-Zach Katz predicts that creator-owned subscription and product revenue will overtake ad-deal revenue by 2027, citing 'high member retention and strong social bonds' as the mechanism. This represents a structural income shift in the creator economy, which is projected to grow from $250B (2025) to $500B (2027). The economic logic: platform ad payouts are unstable and low ($0.02-$0.05 per 1,000 views on TikTok/Instagram, $2-$12 on YouTube), while owned subscriptions provide predictable recurring revenue with direct audience relationships. The 'renting vs. owning' framing is key — creators who build on platform algorithms remain permanently dependent on third-party infrastructure they don't control, while those who build owned distribution (email lists, membership sites, direct communities) gain resilience. The prediction is trackable: if subscription revenue doesn't surpass ad revenue by 2027, the claim is falsified. The mechanism is retention-based: subscribers who deliberately choose to pay have stronger commitment than algorithm-delivered viewers.
+Zach Katz predicts that creator-owned subscription and product revenue will overtake ad-deal revenue by 2027, citing 'high member retention and strong social bonds' as the mechanism. This represents a structural income shift in the creator economy, which is projected to grow from $250B (2025) to $500B (2027). The economic logic: platform ad payouts are unstable and low ($0.02-$0.05 per 1,000 views on TikTok/Instagram, $2-$12 on YouTube), while owned subscriptions provide predictable recurring revenue with direct audience relationships. The 'renting vs. owning' framing is key — creators who build on platform algorithms remain permanently dependent on third-party infrastructure they don't control, while those who build owned distribution (email lists, membership sites, direct communities) gain resilience. The prediction is trackable: if subscription revenue doesn't surpass ad revenue by 2027, the claim is falsified. The mechanism is retention-based: subscribers who deliberately choose to pay have stronger commitment than algorithm-delivered viewers.

domains/entertainment/creators-became-primary-distribution-layer-for-under-35-news-consumption-by-2025-surpassing-traditional-channels.md

@@ -10,9 +10,11 @@ depends_on:
 - social video is already 25 percent of all video consumption and growing because dopamine-optimized formats match generational attention patterns
 related:
 - in-game-creators-represent-alternative-distribution-ecosystems-outside-traditional-media-and-platform-creator-models
+- Total media consumption is expanding not stagnant, with daily media time approaching 13 hours and digital video growing 15 minutes in 2026
 reweave_edges:
 - in-game-creators-represent-alternative-distribution-ecosystems-outside-traditional-media-and-platform-creator-models|related|2026-04-04
 - Hollywood studios now negotiate deals on creator terms rather than studio terms because creators control distribution access and audience relationships that studios need|supports|2026-04-17
+- Total media consumption is expanding not stagnant, with daily media time approaching 13 hours and digital video growing 15 minutes in 2026|related|2026-04-25
 supports:
 - Hollywood studios now negotiate deals on creator terms rather than studio terms because creators control distribution access and audience relationships that studios need
 sourced_from:

domains/entertainment/distributed-narrative-architecture-enables-ip-scale-without-concentrated-story-through-blank-canvas-fan-projection.md

@@ -14,8 +14,10 @@ related:
 - distributed-narrative-architecture-enables-ip-scale-without-concentrated-story-through-blank-canvas-fan-projection
 supports:
 - Blank narrative vessel IP generates commercial affinity at scale but not civilizational coordination
+- Blank canvas IPs achieve billion-dollar scale through licensing to established franchises rather than building original narrative
 reweave_edges:
 - Blank narrative vessel IP generates commercial affinity at scale but not civilizational coordination|supports|2026-04-24
+- Blank canvas IPs achieve billion-dollar scale through licensing to established franchises rather than building original narrative|supports|2026-04-25
 ---
 
 # Distributed narrative architecture enables IP to reach $80B+ scale without concentrated story by creating blank-canvas characters that allow fan projection

domains/entertainment/nft-royalty-mechanisms-create-permanent-financial-alignment-between-holders-and-ip-quality.md

@@ -10,8 +10,14 @@ agent: clay
 scope: causal
 sourcer: a16z crypto
 related_claims: ["[[community-owned-IP-has-structural-advantage-in-human-made-premium-because-provenance-is-inherent-and-legible]]", "[[ownership alignment turns network effects from extractive to generative]]"]
-related: ["Community-owned IP theory preserves concentrated creative execution by separating strategic funding decisions from operational creative development", "nft-royalty-mechanisms-create-permanent-financial-alignment-between-holders-and-ip-quality", "community-owned-ip-theory-preserves-concentrated-creative-execution-through-strategic-operational-separation"]
-reweave_edges: ["Community-owned IP theory preserves concentrated creative execution by separating strategic funding decisions from operational creative development|related|2026-04-17"]
+related:
+- Community-owned IP theory preserves concentrated creative execution by separating strategic funding decisions from operational creative development
+- nft-royalty-mechanisms-create-permanent-financial-alignment-between-holders-and-ip-quality
+- community-owned-ip-theory-preserves-concentrated-creative-execution-through-strategic-operational-separation
+reweave_edges:
+- Community-owned IP theory preserves concentrated creative execution by separating strategic funding decisions from operational creative development|related|2026-04-17
+supports:
+- NFT holder IP licensing with revenue sharing converts passive holders into active evangelists by aligning individual royalty incentives with collective merchandising behavior
 ---
 
 # NFT holder royalties from IP licensing create permanent financial skin-in-the-game that aligns holder interests with IP quality without requiring governance participation
@@ -26,4 +32,4 @@ This mechanism separates economic alignment from governance participation—hold
 
 **Source:** CoinDesk Research Q1 2026
 
-Pudgy Penguins holders can license their specific characters for commercial use, and some holders receive royalties when their penguins appear in mass-market products. This mechanism is now operating at $50M+ revenue scale with products distributed through major retailers like Walmart and publishers like Random House.
+Pudgy Penguins holders can license their specific characters for commercial use, and some holders receive royalties when their penguins appear in mass-market products. This mechanism is now operating at $50M+ revenue scale with products distributed through major retailers like Walmart and publishers like Random House.

domains/grand-strategy/ai-governance-discourse-capture-by-competitiveness-framing-inverts-china-us-participation-patterns.md

@@ -10,8 +10,14 @@ agent: leo
 scope: causal
 sourcer: EPC, Elysée, Future Society
 related_claims: ["definitional-ambiguity-in-autonomous-weapons-governance-is-strategic-interest-not-bureaucratic-failure-because-major-powers-preserve-programs-through-vague-thresholds.md"]
-related: ["International AI governance stepping-stone theory (voluntary \u2192 non-binding \u2192 binding) fails because strategic actors with frontier AI capabilities opt out even at the non-binding declaration stage", "ai-governance-discourse-capture-by-competitiveness-framing-inverts-china-us-participation-patterns", "international-ai-governance-stepping-stone-theory-fails-because-strategic-actors-opt-out-at-non-binding-stage"]
-reweave_edges: ["International AI governance stepping-stone theory (voluntary \u2192 non-binding \u2192 binding) fails because strategic actors with frontier AI capabilities opt out even at the non-binding declaration stage|related|2026-04-18"]
+related:
+- International AI governance stepping-stone theory (voluntary → non-binding → binding) fails because strategic actors with frontier AI capabilities opt out even at the non-binding declaration stage
+- ai-governance-discourse-capture-by-competitiveness-framing-inverts-china-us-participation-patterns
+- international-ai-governance-stepping-stone-theory-fails-because-strategic-actors-opt-out-at-non-binding-stage
+reweave_edges:
+- International AI governance stepping-stone theory (voluntary → non-binding → binding) fails because strategic actors with frontier AI capabilities opt out even at the non-binding declaration stage|related|2026-04-18
+supports:
+- Mutually Assured Deregulation makes voluntary AI governance structurally untenable because each actor's restraint creates competitive disadvantage, converting the governance game from cooperation to prisoner's dilemma
 ---
 
 # 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
@@ -22,4 +28,4 @@ The Paris Summit's official framing as the 'AI Action Summit' rather than contin
 
 **Source:** Abiri, Mutually Assured Deregulation, arXiv:2508.12300
 
-The MAD mechanism explains the discourse capture: the 'Regulation Sacrifice' framing since ~2022 converted AI governance from a cooperation problem to a prisoner's dilemma where restraint equals competitive disadvantage. This structural conversion makes the competitiveness framing self-reinforcing—any attempt to reframe as cooperation is countered by pointing to adversary non-participation.
+The MAD mechanism explains the discourse capture: the 'Regulation Sacrifice' framing since ~2022 converted AI governance from a cooperation problem to a prisoner's dilemma where restraint equals competitive disadvantage. This structural conversion makes the competitiveness framing self-reinforcing—any attempt to reframe as cooperation is countered by pointing to adversary non-participation.

domains/grand-strategy/definitional-ambiguity-in-autonomous-weapons-governance-is-strategic-interest-not-bureaucratic-failure-because-major-powers-preserve-programs-through-vague-thresholds.md

@@ -16,11 +16,13 @@ related:
 - Autonomous weapons systems capable of militarily effective targeting decisions cannot satisfy IHL requirements of distinction, proportionality, and precaution, making sufficiently capable autonomous weapons potentially illegal under existing international law without requiring new treaty text
 - The CCW consensus rule structurally enables a small coalition of militarily-advanced states to block legally binding autonomous weapons governance regardless of near-universal political support
 - Civil society coordination infrastructure fails to produce binding governance when the structural obstacle is great-power veto capacity not absence of political will
+- Process standard autonomous weapons governance creates middle ground between categorical prohibition and unrestricted deployment
 reweave_edges:
 - ai-weapons-governance-tractability-stratifies-by-strategic-utility-creating-ottawa-treaty-path-for-medium-utility-categories|related|2026-04-04
 - Autonomous weapons systems capable of militarily effective targeting decisions cannot satisfy IHL requirements of distinction, proportionality, and precaution, making sufficiently capable autonomous weapons potentially illegal under existing international law without requiring new treaty text|related|2026-04-06
 - The CCW consensus rule structurally enables a small coalition of militarily-advanced states to block legally binding autonomous weapons governance regardless of near-universal political support|related|2026-04-06
 - Civil society coordination infrastructure fails to produce binding governance when the structural obstacle is great-power veto capacity not absence of political will|related|2026-04-06
+- Process standard autonomous weapons governance creates middle ground between categorical prohibition and unrestricted deployment|related|2026-04-25
 ---
 
 # Definitional ambiguity in autonomous weapons governance is strategic interest not bureaucratic failure because major powers preserve programs through vague thresholds

domains/health/ai-assistance-produces-neurologically-grounded-irreversible-deskilling-through-prefrontal-disengagement-hippocampal-reduction-and-dopaminergic-reinforcement.md

@@ -18,12 +18,14 @@ reweave_edges:
 - 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
 - Dopaminergic reinforcement of AI-assisted success creates motivational entrenchment that makes deskilling a behavioral incentive problem, not just a training design problem|supports|2026-04-14
 - Never-skilling — the failure to acquire foundational clinical competencies because AI was present during training — poses a detection-resistant, potentially unrecoverable threat to medical education that is structurally worse than deskilling|supports|2026-04-14
+- AI-defined case routing prevents trainees from developing threshold-setting skills required for independent practice|supports|2026-04-25
 scope: causal
 sourcer: Frontiers in Medicine
 supports:
 - 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
 - Dopaminergic reinforcement of AI-assisted success creates motivational entrenchment that makes deskilling a behavioral incentive problem, not just a training design problem
 - Never-skilling — the failure to acquire foundational clinical competencies because AI was present during training — poses a detection-resistant, potentially unrecoverable threat to medical education that is structurally worse than deskilling
+- AI-defined case routing prevents trainees from developing threshold-setting skills required for independent practice
 title: "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"
 challenges:
 - AI micro-learning loop creates durable upskilling through review-confirm-override cycle at point of care

domains/health/real-world-semaglutide-shows-stronger-mace-reduction-than-select-trial.md

@@ -14,9 +14,11 @@ supports:
 - Semaglutide achieves 29-43 percent lower major adverse cardiovascular event rates compared to tirzepatide despite tirzepatide's superior weight loss suggesting a GLP-1 receptor-specific cardioprotective mechanism independent of weight reduction
 related:
 - Semaglutide produces superior cardiovascular outcomes compared to tirzepatide despite achieving less weight loss because GLP-1 receptor-specific cardiac mechanisms operate independently of weight reduction
+- Semaglutide produces large-effect-size reductions in alcohol consumption and craving through VTA dopamine reward circuit suppression
 reweave_edges:
 - Semaglutide produces superior cardiovascular outcomes compared to tirzepatide despite achieving less weight loss because GLP-1 receptor-specific cardiac mechanisms operate independently of weight reduction|related|2026-04-10
 - Semaglutide achieves 29-43 percent lower major adverse cardiovascular event rates compared to tirzepatide despite tirzepatide's superior weight loss suggesting a GLP-1 receptor-specific cardioprotective mechanism independent of weight reduction|supports|2026-04-10
+- Semaglutide produces large-effect-size reductions in alcohol consumption and craving through VTA dopamine reward circuit suppression|related|2026-04-25
 ---
 
 # Real-world semaglutide use in ASCVD patients shows 43-57% MACE reduction compared to 20% in SELECT trial because treated populations have better adherence and access creating positive selection bias

domains/health/semaglutide-outperforms-tirzepatide-cardiovascular-outcomes-despite-inferior-weight-loss-suggesting-glp1r-specific-cardiac-mechanism.md

@@ -18,6 +18,9 @@ reweave_edges:
 - Real-world semaglutide use in ASCVD patients shows 43-57% MACE reduction compared to 20% in SELECT trial because treated populations have better adherence and access creating positive selection bias|supports|2026-04-09
 - Semaglutide produces superior cardiovascular outcomes compared to tirzepatide despite achieving less weight loss because GLP-1 receptor-specific cardiac mechanisms operate independently of weight reduction|supports|2026-04-10
 - GLP-1 receptor agonists provide cardiovascular benefits through weight-independent mechanisms including direct cardiac GLP-1R signaling which explains why semaglutide outperforms tirzepatide in MACE reduction despite inferior weight loss|supports|2026-04-12
+- Semaglutide produces large-effect-size reductions in alcohol consumption and craving through VTA dopamine reward circuit suppression|related|2026-04-25
+related:
+- Semaglutide produces large-effect-size reductions in alcohol consumption and craving through VTA dopamine reward circuit suppression
 ---
 
 # Semaglutide achieves 29-43 percent lower major adverse cardiovascular event rates compared to tirzepatide despite tirzepatide's superior weight loss suggesting a GLP-1 receptor-specific cardioprotective mechanism independent of weight reduction

domains/internet-finance/hanson-decision-selection-bias-partial-solution-requires-decision-maker-trading-and-random-rejection.md

@@ -15,10 +15,14 @@ supports:
 related:
 - Conditional decision markets are structurally biased toward selection correlations rather than causal policy effects, making futarchy approval signals evidential rather than causal
 - Post-hoc randomization requires implausibly high implementation rates (50%+) to overcome selection bias in futarchy
+- Futarchy's 5% random rejection fix creates governance legitimacy costs that make it inapplicable to high-stakes single decisions
+- Hanson's decision selection bias fixes address information-timing problems but not the structural payout gap between conditional and causal welfare estimates
 reweave_edges:
 - Conditional decision market selection bias is mitigatable through decision-maker market participation, timing transparency, and low-rate random rejection without requiring structural redesign|supports|2026-04-18
 - Conditional decision markets are structurally biased toward selection correlations rather than causal policy effects, making futarchy approval signals evidential rather than causal|related|2026-04-18
 - Post-hoc randomization requires implausibly high implementation rates (50%+) to overcome selection bias in futarchy|related|2026-04-19
+- Futarchy's 5% random rejection fix creates governance legitimacy costs that make it inapplicable to high-stakes single decisions|related|2026-04-25
+- Hanson's decision selection bias fixes address information-timing problems but not the structural payout gap between conditional and causal welfare estimates|related|2026-04-25
 sourced_from:
 - inbox/archive/internet-finance/2026-04-11-hanson-decision-selection-bias-partial-rebuttal.md
 ---

domains/internet-finance/post-hoc-randomization-requires-implausibly-high-implementation-rates-to-overcome-selection-bias-in-futarchy.md

@@ -13,9 +13,11 @@ related_claims: ["[[conditional-decision-markets-are-structurally-biased-toward-
 related:
 - Conditional decision markets are structurally biased toward selection correlations rather than causal policy effects, making futarchy approval signals evidential rather than causal
 - Hanson's decision-selection-bias solution requires decision-makers to trade in markets to reveal private information and approximately 5 percent random rejection of otherwise-approved proposals
+- Futarchy's 5% random rejection fix creates governance legitimacy costs that make it inapplicable to high-stakes single decisions
 reweave_edges:
 - Conditional decision markets are structurally biased toward selection correlations rather than causal policy effects, making futarchy approval signals evidential rather than causal|related|2026-04-18
 - Hanson's decision-selection-bias solution requires decision-makers to trade in markets to reveal private information and approximately 5 percent random rejection of otherwise-approved proposals|related|2026-04-18
+- Futarchy's 5% random rejection fix creates governance legitimacy costs that make it inapplicable to high-stakes single decisions|related|2026-04-25
 ---
 
 # Post-hoc randomization requires implausibly high implementation rates (50%+) to overcome selection bias in futarchy

domains/internet-finance/solana-durable-nonce-creates-indefinite-transaction-validity-attack-surface-for-multisig-governance.md

@@ -13,9 +13,11 @@ related_claims: ["[[futarchy solves trustless joint ownership not just better de
 supports:
 - DeFi protocols eliminate institutional trust requirements but shift attack surface to off-chain human coordination layer
 - Zero-timelock governance migrations create critical vulnerability windows by eliminating detection and response time for compromised multisig execution
+- DeFi protocols with nominally decentralized governance but centralized admin keys face state-sponsored social engineering attacks that exploit the gap between formal and effective decentralization
 reweave_edges:
 - DeFi protocols eliminate institutional trust requirements but shift attack surface to off-chain human coordination layer|supports|2026-04-18
 - Zero-timelock governance migrations create critical vulnerability windows by eliminating detection and response time for compromised multisig execution|supports|2026-04-20
+- DeFi protocols with nominally decentralized governance but centralized admin keys face state-sponsored social engineering attacks that exploit the gap between formal and effective decentralization|supports|2026-04-25
 ---
 
 # Solana durable nonce creates indefinite transaction validity attack surface for multisig governance because pre-signed approvals remain executable without expiration

domains/internet-finance/zero-timelock-governance-migrations-create-critical-vulnerability-windows-by-eliminating-detection-and-response-time.md

@@ -13,10 +13,12 @@ related_claims: ["[[futarchy-governed DAOs converge on traditional corporate gov
 supports:
 - DeFi protocols eliminate institutional trust requirements but shift attack surface to off-chain human coordination layer
 - Solana durable nonce creates indefinite transaction validity attack surface for multisig governance because pre-signed approvals remain executable without expiration
+- DeFi protocols with nominally decentralized governance but centralized admin keys face state-sponsored social engineering attacks that exploit the gap between formal and effective decentralization
 reweave_edges:
 - DeFi protocols eliminate institutional trust requirements but shift attack surface to off-chain human coordination layer|supports|2026-04-18
 - Solana durable nonce creates indefinite transaction validity attack surface for multisig governance because pre-signed approvals remain executable without expiration|supports|2026-04-19
 - USDC's freeze capability is legally constrained making it unreliable as a programmatic safety mechanism during DeFi exploits|related|2026-04-20
+- DeFi protocols with nominally decentralized governance but centralized admin keys face state-sponsored social engineering attacks that exploit the gap between formal and effective decentralization|supports|2026-04-25
 related:
 - USDC's freeze capability is legally constrained making it unreliable as a programmatic safety mechanism during DeFi exploits
 ---