reweave: connect 13 orphan claims via vector similarity

Threshold: 0.7, Haiku classification, 32 files modified.

Pentagon-Agent: Epimetheus <0144398e-4ed3-4fe2-95a3-3d72e1abf887>

core/grand-strategy/early-conviction pricing is an unsolved mechanism design problem because systems that reward early believers attract extractive speculators while systems that prevent speculation penalize genuine supporters.md

@@ -10,6 +10,10 @@ depends_on:
   - "dutch-auction dynamic bonding curves solve the token launch pricing problem by combining descending price discovery with ascending supply curves eliminating the instantaneous arbitrage that has cost token deployers over 100 million dollars on Ethereum"
   - "fanchise management is a stack of increasing fan engagement from content extensions through co-creation and co-ownership"
   - "community ownership accelerates growth through aligned evangelism not passive holding"
+supports:
+  - "access friction functions as a natural conviction filter in token launches because process difficulty selects for genuine believers while price friction selects for wealthy speculators"
+reweave_edges:
+  - "access friction functions as a natural conviction filter in token launches because process difficulty selects for genuine believers while price friction selects for wealthy speculators|supports|2026-04-04"
 ---
 
 # early-conviction pricing is an unsolved mechanism design problem because systems that reward early believers attract extractive speculators while systems that prevent speculation penalize genuine supporters

core/living-agents/adversarial PR review produces higher quality knowledge than self-review because separated proposer and evaluator roles catch errors that the originating agent cannot see.md

@@ -5,6 +5,10 @@ description: "The Teleo collective enforces proposer/evaluator separation throug
 confidence: likely
 source: "Teleo collective operational evidence — 43 PRs reviewed through adversarial process (2026-02 to 2026-03)"
 created: 2026-03-07
+related:
+  - "agent mediated knowledge bases are structurally novel because they combine atomic claims adversarial multi agent evaluation and persistent knowledge graphs which Wikipedia Community Notes and prediction markets each partially implement but none combine"
+reweave_edges:
+  - "agent mediated knowledge bases are structurally novel because they combine atomic claims adversarial multi agent evaluation and persistent knowledge graphs which Wikipedia Community Notes and prediction markets each partially implement but none combine|related|2026-04-04"
 ---
 
 # Adversarial PR review produces higher quality knowledge than self-review because separated proposer and evaluator roles catch errors that the originating agent cannot see

core/living-agents/all agents running the same model family creates correlated blind spots that adversarial review cannot catch because the evaluator shares the proposers training biases.md

@@ -5,6 +5,10 @@ description: "Every agent in the Teleo collective runs on Claude — proposers,
 confidence: likely
 source: "Teleo collective operational evidence — all 5 active agents on Claude, 0 cross-model reviews in 44 PRs"
 created: 2026-03-07
+related:
+  - "agent mediated knowledge bases are structurally novel because they combine atomic claims adversarial multi agent evaluation and persistent knowledge graphs which Wikipedia Community Notes and prediction markets each partially implement but none combine"
+reweave_edges:
+  - "agent mediated knowledge bases are structurally novel because they combine atomic claims adversarial multi agent evaluation and persistent knowledge graphs which Wikipedia Community Notes and prediction markets each partially implement but none combine|related|2026-04-04"
 ---
 
 # All agents running the same model family creates correlated blind spots that adversarial review cannot catch because the evaluator shares the proposer's training biases

core/living-agents/collective knowledge health is measurable through five vital signs that detect degradation before it becomes visible in output quality.md

@@ -5,6 +5,10 @@ description: "Five measurable indicators — cross-domain linkage density, evide
 confidence: experimental
 source: "Vida foundations audit (March 2026), collective-intelligence research (Woolley 2010, Pentland 2014)"
 created: 2026-03-08
+supports:
+  - "agent integration health is diagnosed by synapse activity not individual output because a well connected agent with moderate output contributes more than a prolific isolate"
+reweave_edges:
+  - "agent integration health is diagnosed by synapse activity not individual output because a well connected agent with moderate output contributes more than a prolific isolate|supports|2026-04-04"
 ---
 
 # collective knowledge health is measurable through five vital signs that detect degradation before it becomes visible in output quality

core/living-agents/domain specialization with cross-domain synthesis produces better collective intelligence than generalist agents because specialists build deeper knowledge while a dedicated synthesizer finds connections they cannot see from within their territory.md

@@ -5,6 +5,10 @@ description: "The Teleo collective assigns each agent a domain territory for ext
 confidence: experimental
 source: "Teleo collective operational evidence — 5 domain agents, 1 synthesizer, 4 synthesis batches across 43 PRs"
 created: 2026-03-07
+related:
+  - "agent integration health is diagnosed by synapse activity not individual output because a well connected agent with moderate output contributes more than a prolific isolate"
+reweave_edges:
+  - "agent integration health is diagnosed by synapse activity not individual output because a well connected agent with moderate output contributes more than a prolific isolate|related|2026-04-04"
 ---
 
 # Domain specialization with cross-domain synthesis produces better collective intelligence than generalist agents because specialists build deeper knowledge while a dedicated synthesizer finds connections they cannot see from within their territory

core/living-agents/the collective is ready for a new agent when demand signals cluster in unowned territory and existing agents repeatedly route questions they cannot answer.md

@@ -5,6 +5,10 @@ description: "Three growth signals indicate readiness for a new organ system: cl
 confidence: experimental
 source: "Vida agent directory design (March 2026), biological growth and differentiation analogy"
 created: 2026-03-08
+related:
+  - "agent integration health is diagnosed by synapse activity not individual output because a well connected agent with moderate output contributes more than a prolific isolate"
+reweave_edges:
+  - "agent integration health is diagnosed by synapse activity not individual output because a well connected agent with moderate output contributes more than a prolific isolate|related|2026-04-04"
 ---
 
 # the collective is ready for a new agent when demand signals cluster in unowned territory and existing agents repeatedly route questions they cannot answer

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

@@ -5,6 +5,10 @@ domain: ai-alignment
 created: 2026-02-17
 source: "Web research compilation, February 2026"
 confidence: likely
+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"
+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"
 ---
 
 Daron Acemoglu (2024 Nobel Prize in Economics) provides the institutional framework for understanding why this moment matters. His key concepts: extractive versus inclusive institutions, where change happens when institutions shift from extracting value for elites to including broader populations in governance; critical junctures, turning points when institutional paths diverge and destabilize existing orders, creating mismatches between institutions and people's aspirations; and structural resistance, where those in power resist change even when it would benefit them, not from ignorance but from structural incentive.

domains/ai-alignment/cognitive anchors that stabilize attention too firmly prevent the productive instability that precedes genuine insight because anchoring suppresses the signal that would indicate the anchor needs updating.md

@@ -12,6 +12,9 @@ related:
   - "notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation"
 reweave_edges:
   - "notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation|related|2026-04-03"
+  - "reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally|supports|2026-04-04"
+supports:
+  - "reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally"
 ---
 
 # cognitive anchors that stabilize attention too firmly prevent the productive instability that precedes genuine insight because anchoring suppresses the signal that would indicate the anchor needs updating

domains/ai-alignment/compute export controls are the most impactful AI governance mechanism but target geopolitical competition not safety leaving capability development unconstrained.md

@@ -1,5 +1,4 @@
 ---
-
 type: claim
 domain: ai-alignment
 description: "US AI chip export controls have verifiably changed corporate behavior (Nvidia designing compliance chips, data center relocations, sovereign compute strategies) but target geopolitical competition not AI safety, leaving a governance vacuum for how safely frontier capability is developed"
@@ -10,6 +9,9 @@ related:
   - "inference efficiency gains erode AI deployment governance without triggering compute monitoring thresholds because governance frameworks target training concentration while inference optimization distributes capability below detection"
 reweave_edges:
   - "inference efficiency gains erode AI deployment governance without triggering compute monitoring thresholds because governance frameworks target training concentration while inference optimization distributes capability below detection|related|2026-03-28"
+  - "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|supports|2026-04-04"
+supports:
+  - "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"
 ---
 
 # compute export controls are the most impactful AI governance mechanism but target geopolitical competition not safety leaving capability development unconstrained

domains/ai-alignment/compute supply chain concentration is simultaneously the strongest AI governance lever and the largest systemic fragility because the same chokepoints that enable oversight create single points of failure.md

@@ -15,6 +15,10 @@ challenged_by:
 secondary_domains:
   - collective-intelligence
   - critical-systems
+supports:
+  - "HBM memory supply concentration creates a three vendor chokepoint where all production is sold out through 2026 gating every AI training system regardless of processor architecture"
+reweave_edges:
+  - "HBM memory supply concentration creates a three vendor chokepoint where all production is sold out through 2026 gating every AI training system regardless of processor architecture|supports|2026-04-04"
 ---
 
 # Compute supply chain concentration is simultaneously the strongest AI governance lever and the largest systemic fragility because the same chokepoints that enable oversight create single points of failure

domains/ai-alignment/knowledge between notes is generated by traversal not stored in any individual note because curated link paths produce emergent understanding that embedding similarity cannot replicate.md

@@ -15,8 +15,10 @@ supports:
 reweave_edges:
   - "graph traversal through curated wiki links replicates spreading activation from cognitive science because progressive disclosure implements decay based context loading and queries evolve during search through the berrypicking effect|supports|2026-04-03"
   - "vault structure is a stronger determinant of agent behavior than prompt engineering because different knowledge graph architectures produce different reasoning patterns from identical model weights|related|2026-04-03"
+  - "topological organization by concept outperforms chronological organization by date for knowledge retrieval because good insights from months ago are as useful as todays but date based filing buries them under temporal sediment|related|2026-04-04"
 related:
   - "vault structure is a stronger determinant of agent behavior than prompt engineering because different knowledge graph architectures produce different reasoning patterns from identical model weights"
+  - "topological organization by concept outperforms chronological organization by date for knowledge retrieval because good insights from months ago are as useful as todays but date based filing buries them under temporal sediment"
 ---
 
 # knowledge between notes is generated by traversal not stored in any individual note because curated link paths produce emergent understanding that embedding similarity cannot replicate

domains/ai-alignment/notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation.md

@@ -12,6 +12,9 @@ supports:
   - "AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce"
 reweave_edges:
   - "AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce|supports|2026-04-03"
+  - "reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally|related|2026-04-04"
+related:
+  - "reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally"
 ---
 
 # notes function as cognitive anchors that stabilize attention during complex reasoning by externalizing reference points that survive working memory degradation

domains/ai-alignment/physical infrastructure constraints on AI scaling create a natural governance window because packaging memory and power bottlenecks operate on 2-10 year timescales while capability research advances in months.md

@@ -1,5 +1,4 @@
 ---
-
 type: claim
 domain: ai-alignment
 description: "CoWoS packaging, HBM memory, and datacenter power each gate AI compute scaling on timescales (2-10 years) much longer than algorithmic or architectural advances (months) — this mismatch creates a window where alignment research can outpace deployment even without deliberate slowdown"
@@ -19,6 +18,9 @@ related:
   - "inference efficiency gains erode AI deployment governance without triggering compute monitoring thresholds because governance frameworks target training concentration while inference optimization distributes capability below detection"
 reweave_edges:
   - "inference efficiency gains erode AI deployment governance without triggering compute monitoring thresholds because governance frameworks target training concentration while inference optimization distributes capability below detection|related|2026-03-28"
+  - "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"
+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"
 ---
 
 # Physical infrastructure constraints on AI scaling create a natural governance window because packaging memory and power bottlenecks operate on 2-10 year timescales while capability research advances in months

domains/collective-intelligence/shared-anticipatory-structures-enable-decentralized-coordination.md

@@ -7,6 +7,10 @@ source: "Albarracin et al., 'Shared Protentions in Multi-Agent Active Inference'
 created: 2026-03-11
 secondary_domains: [ai-alignment, critical-systems]
 depends_on: ["designing coordination rules is categorically different from designing coordination outcomes"]
+related:
+  - "theory of mind is measurable cognitive capability producing collective intelligence gains"
+reweave_edges:
+  - "theory of mind is measurable cognitive capability producing collective intelligence gains|related|2026-04-04"
 ---
 
 # Shared anticipatory structures in multi-agent generative models enable goal-directed collective behavior without centralized coordination

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

@@ -8,6 +8,10 @@ created: 2026-02-17
 secondary_domains:
   - space-development
   - critical-systems
+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"
+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"
 ---
 
 # 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

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

@@ -13,8 +13,10 @@ depends_on:
   - "space-based computing at datacenter scale is blocked by thermal physics because radiative cooling in vacuum requires surface areas that grow faster than compute density"
 related:
   - "orbital compute hardware cannot be serviced making every component either radiation hardened redundant or disposable with failed hardware becoming debris or requiring expensive deorbit"
+  - "AI datacenter power demand creates a 5 10 year infrastructure lag because grid construction and interconnection cannot match the pace of chip design cycles"
 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"
 ---
 
 # Arctic and nuclear-powered data centers solve the same power and cooling constraints as orbital compute without launch costs radiation or bandwidth limitations

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

@@ -11,6 +11,10 @@ attribution:
   sourcer:
     - handle: "leo"
       context: "CCW GGE deliberations 2014-2025, US LOAC compliance standards"
+related:
+  - "ai weapons governance tractability stratifies by strategic utility creating ottawa treaty path for medium utility categories"
+reweave_edges:
+  - "ai weapons governance tractability stratifies by strategic utility creating ottawa treaty path for medium utility categories|related|2026-04-04"
 ---
 
 # Definitional ambiguity in autonomous weapons governance is strategic interest not bureaucratic failure because major powers preserve programs through vague thresholds

domains/grand-strategy/international-ai-governance-stepping-stone-theory-fails-because-strategic-actors-opt-out-at-non-binding-stage.md

@@ -10,6 +10,10 @@ agent: leo
 scope: structural
 sourcer: EPC, Future Society, Amnesty International
 related_claims: ["eu-ai-act-article-2-3-national-security-exclusion-confirms-legislative-ceiling-is-cross-jurisdictional.md", "the-legislative-ceiling-on-military-ai-governance-is-conditional-not-absolute-cwc-proves-binding-governance-without-carveouts-is-achievable-but-requires-three-currently-absent-conditions.md"]
+supports:
+  - "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"
+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|supports|2026-04-04"
 ---
 
 # 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

domains/grand-strategy/the-legislative-ceiling-on-military-ai-governance-is-conditional-not-absolute-cwc-proves-binding-governance-without-carveouts-is-achievable-but-requires-three-currently-absent-conditions.md

@@ -11,6 +11,10 @@ attribution:
   sourcer:
     - handle: "leo"
       context: "Leo synthesis from CWC treaty record (1997), OPCW verification history, NPT/BWC/Ottawa Treaty comparison"
+supports:
+  - "ai weapons governance tractability stratifies by strategic utility creating ottawa treaty path for medium utility categories"
+reweave_edges:
+  - "ai weapons governance tractability stratifies by strategic utility creating ottawa treaty path for medium utility categories|supports|2026-04-04"
 ---
 
 # The legislative ceiling on military AI governance is conditional rather than logically necessary — the CWC demonstrates that binding mandatory governance of military programs without great-power carve-outs is achievable when three enabling conditions converge: weapon stigmatization, verification feasibility, and reduced strategic utility — all currently absent and on negative trajectory for AI

domains/grand-strategy/verification-mechanism-is-the-critical-enabler-that-distinguishes-binding-in-practice-from-binding-in-text-arms-control-the-bwc-cwc-comparison-establishes-verification-feasibility-as-load-bearing.md

@@ -11,6 +11,10 @@ attribution:
   sourcer:
     - handle: "leo"
       context: "BWC (1975) and CWC (1997) treaty comparison, OPCW verification history, documented arms control literature"
+related:
+  - "ai weapons governance tractability stratifies by strategic utility creating ottawa treaty path for medium utility categories"
+reweave_edges:
+  - "ai weapons governance tractability stratifies by strategic utility creating ottawa treaty path for medium utility categories|related|2026-04-04"
 ---
 
 # The verification mechanism is the critical enabler that distinguishes binding-in-practice from binding-in-text arms control — the BWC banned biological weapons without verification and is effectively voluntary while the CWC with OPCW inspections achieves compliance — establishing verification feasibility as the load-bearing condition for any future AI weapons governance regime

domains/internet-finance/aimd-converges-to-fair-resource-allocation-without-global-coordination-through-local-congestion-signals.md

@@ -6,6 +6,10 @@ confidence: proven
 source: "Corless, King, Shorten, Wirth (SIAM 2016) - AIMD Dynamics and Distributed Resource Allocation"
 created: 2026-03-11
 secondary_domains: [mechanisms, collective-intelligence]
+supports:
+  - "aimd congestion control generalizes to distributed resource allocation because queue dynamics are structurally identical across networks and compute pipelines"
+reweave_edges:
+  - "aimd congestion control generalizes to distributed resource allocation because queue dynamics are structurally identical across networks and compute pipelines|supports|2026-04-04"
 ---
 
 # AIMD converges to fair resource allocation without global coordination through local congestion signals

domains/internet-finance/aimd-scaling-solves-variable-load-expensive-compute-coordination-without-prediction.md

@@ -6,6 +6,10 @@ confidence: experimental
 source: "Corless et al. (SIAM 2016) applied to Teleo pipeline architecture"
 created: 2026-03-11
 secondary_domains: [mechanisms, critical-systems]
+supports:
+  - "aimd congestion control generalizes to distributed resource allocation because queue dynamics are structurally identical across networks and compute pipelines"
+reweave_edges:
+  - "aimd congestion control generalizes to distributed resource allocation because queue dynamics are structurally identical across networks and compute pipelines|supports|2026-04-04"
 ---
 
 # AIMD scaling solves variable-load expensive-compute coordination without prediction

domains/internet-finance/aimd-worker-scaling-requires-only-queue-state-observation-not-load-prediction-making-it-simpler-than-ml-based-autoscaling.md

@@ -5,6 +5,10 @@ description: "AIMD autoscaling reacts to observed queue dynamics rather than for
 confidence: experimental
 source: "Vlahakis, Athanasopoulos et al., AIMD Scheduling (2021), applied to Teleo pipeline context"
 created: 2026-03-11
+related:
+  - "aimd congestion control generalizes to distributed resource allocation because queue dynamics are structurally identical across networks and compute pipelines"
+reweave_edges:
+  - "aimd congestion control generalizes to distributed resource allocation because queue dynamics are structurally identical across networks and compute pipelines|related|2026-04-04"
 ---
 
 # AIMD worker scaling requires only queue state observation not load prediction making it simpler than ML-based autoscaling

domains/internet-finance/ownership coins primary value proposition is investor protection not governance quality because anti-rug enforcement through market-governed liquidation creates credible exit guarantees that no amount of decision optimization can match.md

@@ -10,6 +10,10 @@ depends_on:
   - "Ranger liquidation: $5M USDC returned to holders through futarchy-governed enforcement"
   - "8/8 MetaDAO ICOs above launch price — zero investor losses"
   - "Hurupay minimum raise failure — funds returned automatically"
+related:
+  - "access friction functions as a natural conviction filter in token launches because process difficulty selects for genuine believers while price friction selects for wealthy speculators"
+reweave_edges:
+  - "access friction functions as a natural conviction filter in token launches because process difficulty selects for genuine believers while price friction selects for wealthy speculators|related|2026-04-04"
 ---
 
 # Ownership coins primary value proposition is investor protection not governance quality because anti-rug enforcement through market-governed liquidation creates credible exit guarantees that no amount of decision optimization can match

domains/manufacturing/ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co-developed precision optics created an unreplicable ecosystem that gates all leading-edge chip production.md

@@ -10,6 +10,10 @@ depends_on:
   - "value in industry transitions accrues to bottleneck positions in the emerging architecture not to pioneers or to the largest incumbents"
 challenged_by:
   - "China's domestic EUV efforts have achieved laboratory-scale wavelength generation by 2024-2025 though the gap from lab to production tool is measured in years"
+supports:
+  - "HBM memory supply concentration creates a three vendor chokepoint where all production is sold out through 2026 gating every AI training system regardless of processor architecture"
+reweave_edges:
+  - "HBM memory supply concentration creates a three vendor chokepoint where all production is sold out through 2026 gating every AI training system regardless of processor architecture|supports|2026-04-04"
 ---
 
 # ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co-developed precision optics created an unreplicable ecosystem that gates all leading-edge chip production

domains/manufacturing/CoWoS advanced packaging is the binding bottleneck on AI compute scaling because TSMC near-monopoly on interposer technology gates total accelerator output regardless of chip design capability.md

@@ -11,6 +11,13 @@ depends_on:
 challenged_by:
   - "Intel EMIB and other alternatives may break the TSMC CoWoS monopoly by 2027-2028"
   - "chiplet architectures with smaller interposers could reduce packaging constraints"
+related:
+  - "ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co developed precision optics created an unreplicable ecosystem that gates all leading edge chip production"
+reweave_edges:
+  - "ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co developed precision optics created an unreplicable ecosystem that gates all leading edge chip production|related|2026-04-04"
+  - "HBM memory supply concentration creates a three vendor chokepoint where all production is sold out through 2026 gating every AI training system regardless of processor architecture|supports|2026-04-04"
+supports:
+  - "HBM memory supply concentration creates a three vendor chokepoint where all production is sold out through 2026 gating every AI training system regardless of processor architecture"
 ---
 
 # CoWoS advanced packaging is the binding bottleneck on AI compute scaling because TSMC near-monopoly on interposer technology gates total accelerator output regardless of chip design capability

domains/manufacturing/TSMC manufactures 92 percent of advanced logic chips making Taiwan the single largest physical vulnerability in global technology infrastructure.md

@@ -11,6 +11,10 @@ depends_on:
 challenged_by:
   - "TSMC Arizona achieving 92% yield shows geographic diversification is technically feasible and progressing"
   - "Intel Foundry and Samsung Foundry provide theoretical alternatives for some advanced processes"
+supports:
+  - "ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co developed precision optics created an unreplicable ecosystem that gates all leading edge chip production"
+reweave_edges:
+  - "ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co developed precision optics created an unreplicable ecosystem that gates all leading edge chip production|supports|2026-04-04"
 ---
 
 # TSMC manufactures 92 percent of advanced logic chips making Taiwan the single largest physical vulnerability in global technology infrastructure

domains/manufacturing/semiconductor fab cost escalation means each new process node is a nation-state commitment because 20B-plus capital costs and multi-year construction create irreversible geographic path dependence.md

@@ -12,6 +12,10 @@ depends_on:
 challenged_by:
   - "CHIPS Act and EU Chips Act subsidies may successfully diversify fab geography if sustained over multiple fab generations"
   - "advanced packaging may become more geographically distributed than logic fabrication reducing the single-geography risk"
+related:
+  - "ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co developed precision optics created an unreplicable ecosystem that gates all leading edge chip production"
+reweave_edges:
+  - "ASML EUV lithography monopoly is the deepest chokepoint in semiconductor manufacturing because 30 years of co developed precision optics created an unreplicable ecosystem that gates all leading edge chip production|related|2026-04-04"
 ---
 
 # Semiconductor fab cost escalation means each new process node is a nation-state commitment because 20B-plus capital costs and multi-year construction create irreversible geographic path dependence

foundations/collective-intelligence/active forgetting through selective removal maintains knowledge system health because perfect retention degrades usefulness the same way hyperthymesia overwhelms biological memory.md

@@ -12,9 +12,11 @@ challenged_by:
 related:
   - "AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce"
   - "friction in knowledge systems is diagnostic signal not failure because six specific friction patterns map to six specific structural causes with prescribed responses"
+  - "reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally"
 reweave_edges:
   - "AI shifts knowledge systems from externalizing memory to externalizing attention because storage and retrieval are solved but the capacity to notice what matters remains scarce|related|2026-04-03"
   - "friction in knowledge systems is diagnostic signal not failure because six specific friction patterns map to six specific structural causes with prescribed responses|related|2026-04-04"
+  - "reweaving old notes by asking what would be different if written today is structural maintenance not optional cleanup because stale notes actively mislead agents who trust curated content unconditionally|related|2026-04-04"
 ---
 
 # Active forgetting through selective removal maintains knowledge system health because perfect retention degrades usefulness the same way hyperthymesia overwhelms biological memory

foundations/collective-intelligence/adversarial contribution produces higher-quality collective knowledge than collaborative contribution when wrong challenges have real cost evaluation is structurally separated from contribution and confirmation is rewarded alongside novelty.md

@@ -5,6 +5,10 @@ description: "Identifies three necessary conditions under which adversarial know
 confidence: experimental
 source: "Theseus, original analysis drawing on prediction market evidence, scientific peer review, and mechanism design theory"
 created: 2026-03-11
+supports:
+  - "agent mediated knowledge bases are structurally novel because they combine atomic claims adversarial multi agent evaluation and persistent knowledge graphs which Wikipedia Community Notes and prediction markets each partially implement but none combine"
+reweave_edges:
+  - "agent mediated knowledge bases are structurally novel because they combine atomic claims adversarial multi agent evaluation and persistent knowledge graphs which Wikipedia Community Notes and prediction markets each partially implement but none combine|supports|2026-04-04"
 ---
 
 # Adversarial contribution produces higher-quality collective knowledge than collaborative contribution when wrong challenges have real cost evaluation is structurally separated from contribution and confirmation is rewarded alongside novelty

foundations/critical-systems/Markov blankets enable complex systems to maintain identity while interacting with environment through nested statistical boundaries.md

@@ -5,6 +5,10 @@ domain: critical-systems
 created: 2026-02-16
 confidence: proven
 source: "Understanding Markov Blankets: The Mathematics of Biological Organization"
+supports:
+  - "active inference operates at every scale of biological organization from cells to societies"
+reweave_edges:
+  - "active inference operates at every scale of biological organization from cells to societies|supports|2026-04-04"
 ---
 
 # Markov blankets enable complex systems to maintain identity while interacting with environment through nested statistical boundaries

foundations/critical-systems/biological systems minimize free energy to maintain their states and resist entropic decay.md

@@ -5,6 +5,10 @@ domain: critical-systems
 created: 2026-02-16
 confidence: likely
 source: "Friston 2010, Nature Reviews Neuroscience; Friston et al 2006, Journal of Physiology Paris"
+supports:
+  - "active inference operates at every scale of biological organization from cells to societies"
+reweave_edges:
+  - "active inference operates at every scale of biological organization from cells to societies|supports|2026-04-04"
 ---
 
 # biological systems minimize free energy to maintain their states and resist entropic decay