reweave: merge 15 files via frontmatter union [auto]
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15 changed files with 62 additions and 10 deletions
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@ -20,10 +20,12 @@ related:
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- openai
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- openai
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- frontier-ai-capability-national-security-criticality-prevents-government-from-enforcing-own-governance-instruments
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- frontier-ai-capability-national-security-criticality-prevents-government-from-enforcing-own-governance-instruments
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- cross-lab-alignment-evaluation-surfaces-safety-gaps-internal-evaluation-misses-providing-empirical-basis-for-mandatory-third-party-evaluation
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- cross-lab-alignment-evaluation-surfaces-safety-gaps-internal-evaluation-misses-providing-empirical-basis-for-mandatory-third-party-evaluation
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- Mythos restriction is commercially rational safety theater because reputational benefits and vendor relationships offset the cost of public access restriction
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supports:
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supports:
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- Anthropic's restricted-access deployment of Claude Mythos Preview via Project Glasswing establishes a third deployment tier between general availability and non-deployment based on capability harm assessment
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- Anthropic's restricted-access deployment of Claude Mythos Preview via Project Glasswing establishes a third deployment tier between general availability and non-deployment based on capability harm assessment
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reweave_edges:
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reweave_edges:
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- Anthropic's restricted-access deployment of Claude Mythos Preview via Project Glasswing establishes a third deployment tier between general availability and non-deployment based on capability harm assessment|supports|2026-05-12
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- Anthropic's restricted-access deployment of Claude Mythos Preview via Project Glasswing establishes a third deployment tier between general availability and non-deployment based on capability harm assessment|supports|2026-05-12
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- Mythos restriction is commercially rational safety theater because reputational benefits and vendor relationships offset the cost of public access restriction|related|2026-05-13
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---
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---
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# Legible immediate harm enforces governance convergence independent of competitive incentives because OpenAI implemented access restrictions on GPT-5.5 Cyber identical to Anthropic's Mythos restrictions within weeks of publicly criticizing Anthropic's approach
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# Legible immediate harm enforces governance convergence independent of competitive incentives because OpenAI implemented access restrictions on GPT-5.5 Cyber identical to Anthropic's Mythos restrictions within weeks of publicly criticizing Anthropic's approach
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@ -13,10 +13,12 @@ related:
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- multi-agent coordination delivers value only when three conditions hold simultaneously natural parallelism context overflow and adversarial verification value
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- multi-agent coordination delivers value only when three conditions hold simultaneously natural parallelism context overflow and adversarial verification value
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- Multi-agent AI systems amplify provider-level biases through recursive reasoning when agents share the same training infrastructure
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- Multi-agent AI systems amplify provider-level biases through recursive reasoning when agents share the same training infrastructure
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- multi-agent git workflows have reached production maturity as systems deploying 400+ specialized agent instances outperform single agents by 30 percent on engineering benchmarks
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- multi-agent git workflows have reached production maturity as systems deploying 400+ specialized agent instances outperform single agents by 30 percent on engineering benchmarks
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- multi model inference collaboration outperforms single models because cross provider diversity accesses solution paths unavailable to same architecture systems
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reweave_edges:
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reweave_edges:
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- multi-agent coordination delivers value only when three conditions hold simultaneously natural parallelism context overflow and adversarial verification value|related|2026-04-03
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- multi-agent coordination delivers value only when three conditions hold simultaneously natural parallelism context overflow and adversarial verification value|related|2026-04-03
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- Multi-agent AI systems amplify provider-level biases through recursive reasoning when agents share the same training infrastructure|related|2026-04-17
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- Multi-agent AI systems amplify provider-level biases through recursive reasoning when agents share the same training infrastructure|related|2026-04-17
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- multi-agent git workflows have reached production maturity as systems deploying 400+ specialized agent instances outperform single agents by 30 percent on engineering benchmarks|related|2026-04-19
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- multi-agent git workflows have reached production maturity as systems deploying 400+ specialized agent instances outperform single agents by 30 percent on engineering benchmarks|related|2026-04-19
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- multi model inference collaboration outperforms single models because cross provider diversity accesses solution paths unavailable to same architecture systems|related|2026-05-13
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---
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---
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# Multi-agent coordination improves parallel task performance but degrades sequential reasoning because communication overhead fragments linear workflows
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# Multi-agent coordination improves parallel task performance but degrades sequential reasoning because communication overhead fragments linear workflows
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@ -7,6 +7,10 @@ source: "Knuth 2026, 'Claude's Cycles' (Stanford CS, Feb 28 2026 rev. Mar 6); Ho
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created: 2026-03-07
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created: 2026-03-07
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sourced_from:
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sourced_from:
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- inbox/archive/ai-alignment/2026-02-28-knuth-claudes-cycles.md
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- inbox/archive/ai-alignment/2026-02-28-knuth-claudes-cycles.md
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supports:
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- multi model inference collaboration outperforms single models because cross provider diversity accesses solution paths unavailable to same architecture systems
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reweave_edges:
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- multi model inference collaboration outperforms single models because cross provider diversity accesses solution paths unavailable to same architecture systems|supports|2026-05-13
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---
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---
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# multi-model collaboration solved problems that single models could not because different AI architectures contribute complementary capabilities as the even-case solution to Knuths Hamiltonian decomposition required GPT and Claude working together
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# multi-model collaboration solved problems that single models could not because different AI architectures contribute complementary capabilities as the even-case solution to Knuths Hamiltonian decomposition required GPT and Claude working together
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@ -21,8 +21,10 @@ reweave_edges:
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- Contrast-Consistent Search demonstrates that models internally represent truth-relevant signals that may diverge from behavioral outputs, establishing that alignment-relevant probing of internal representations is feasible but depends on an unverified assumption that the consistent direction corresponds to truth rather than other coherent properties|related|2026-04-17
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- Contrast-Consistent Search demonstrates that models internally represent truth-relevant signals that may diverge from behavioral outputs, establishing that alignment-relevant probing of internal representations is feasible but depends on an unverified assumption that the consistent direction corresponds to truth rather than other coherent properties|related|2026-04-17
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- structured self-diagnosis prompts induce metacognitive monitoring in AI agents that default behavior does not produce because explicit uncertainty flagging and failure mode enumeration activate deliberate reasoning patterns|related|2026-04-17
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- structured self-diagnosis prompts induce metacognitive monitoring in AI agents that default behavior does not produce because explicit uncertainty flagging and failure mode enumeration activate deliberate reasoning patterns|related|2026-04-17
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- retrieve-before-recompute-is-more-efficient-than-independent-agent-reasoning-when-trace-quality-is-verified|related|2026-04-19
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- retrieve-before-recompute-is-more-efficient-than-independent-agent-reasoning-when-trace-quality-is-verified|related|2026-04-19
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- multi model inference collaboration outperforms single models because cross provider diversity accesses solution paths unavailable to same architecture systems|supports|2026-05-13
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supports:
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supports:
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- tools and artifacts transfer between AI agents and evolve in the process because Agent O improved Agent Cs solver by combining it with its own structural knowledge creating a hybrid better than either original
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- tools and artifacts transfer between AI agents and evolve in the process because Agent O improved Agent Cs solver by combining it with its own structural knowledge creating a hybrid better than either original
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- multi model inference collaboration outperforms single models because cross provider diversity accesses solution paths unavailable to same architecture systems
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---
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---
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# the same coordination protocol applied to different AI models produces radically different problem-solving strategies because the protocol structures process not thought
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# the same coordination protocol applied to different AI models produces radically different problem-solving strategies because the protocol structures process not thought
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@ -9,6 +9,7 @@ related:
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reweave_edges:
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reweave_edges:
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- 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
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- 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
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- Meta Nuclear Supercluster|supports|2026-04-25
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- Meta Nuclear Supercluster|supports|2026-04-25
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- AI compute demand growth is outpacing terrestrial data center capacity planning on quarterly timescales, creating infrastructure conditions where orbital compute becomes economically rational before terrestrial infrastructure can scale|supports|2026-05-13
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secondary_domains:
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secondary_domains:
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- space-development
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- space-development
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- critical-systems
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- critical-systems
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@ -16,6 +17,7 @@ source: Astra, space data centers feasibility analysis February 2026; IEA energy
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supports:
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supports:
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- AI datacenter power demand creates a 5-10 year infrastructure lag because grid construction and interconnection cannot match the pace of chip design cycles
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- AI datacenter power demand creates a 5-10 year infrastructure lag because grid construction and interconnection cannot match the pace of chip design cycles
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- Meta Nuclear Supercluster
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- Meta Nuclear Supercluster
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- AI compute demand growth is outpacing terrestrial data center capacity planning on quarterly timescales, creating infrastructure conditions where orbital compute becomes economically rational before terrestrial infrastructure can scale
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type: claim
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type: claim
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---
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---
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@ -13,8 +13,10 @@ attribution:
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context: "KFF survey (March 2026), 51% of marketplace enrollees report costs 'a lot higher' after enhanced APTC expiration"
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context: "KFF survey (March 2026), 51% of marketplace enrollees report costs 'a lot higher' after enhanced APTC expiration"
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supports:
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supports:
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- Double coverage compression occurs when Medicaid work requirements contract coverage below 138 percent FPL while APTC expiry eliminates subsidies for 138-400 percent FPL simultaneously
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- Double coverage compression occurs when Medicaid work requirements contract coverage below 138 percent FPL while APTC expiry eliminates subsidies for 138-400 percent FPL simultaneously
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- US health coverage entered a multi-year cascade erosion from three overlapping events removing 30M+ low-income Americans from public coverage with no absorption mechanism
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reweave_edges:
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reweave_edges:
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- Double coverage compression occurs when Medicaid work requirements contract coverage below 138 percent FPL while APTC expiry eliminates subsidies for 138-400 percent FPL simultaneously|supports|2026-04-09
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- Double coverage compression occurs when Medicaid work requirements contract coverage below 138 percent FPL while APTC expiry eliminates subsidies for 138-400 percent FPL simultaneously|supports|2026-04-09
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- US health coverage entered a multi-year cascade erosion from three overlapping events removing 30M+ low-income Americans from public coverage with no absorption mechanism|supports|2026-05-13
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related:
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related:
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- enhanced-aca-premium-tax-credit-expiration-creates-second-simultaneous-coverage-loss-pathway-above-medicaid-income-threshold
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- enhanced-aca-premium-tax-credit-expiration-creates-second-simultaneous-coverage-loss-pathway-above-medicaid-income-threshold
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- double-coverage-compression-simultaneous-medicaid-cuts-and-aptc-expiry-eliminate-coverage-for-under-400-fpl
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- double-coverage-compression-simultaneous-medicaid-cuts-and-aptc-expiry-eliminate-coverage-for-under-400-fpl
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@ -25,6 +25,9 @@ related:
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- double-coverage-compression-simultaneous-medicaid-cuts-and-aptc-expiry-eliminate-coverage-for-under-400-fpl
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- double-coverage-compression-simultaneous-medicaid-cuts-and-aptc-expiry-eliminate-coverage-for-under-400-fpl
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- medicaid-work-requirements-produce-19-37-percent-compliant-worker-disenrollment-through-documentation-infrastructure-failure
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- medicaid-work-requirements-produce-19-37-percent-compliant-worker-disenrollment-through-documentation-infrastructure-failure
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- medicaid-work-requirements-cause-7000-9000-excess-deaths-annually-through-administrative-disenrollment-not-ineligibility
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- medicaid-work-requirements-cause-7000-9000-excess-deaths-annually-through-administrative-disenrollment-not-ineligibility
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- OBBBA produces anticipatory economic damage as states cut Medicaid reimbursement rates and providers implement workforce reductions before federal provisions take effect
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reweave_edges:
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- OBBBA produces anticipatory economic damage as states cut Medicaid reimbursement rates and providers implement workforce reductions before federal provisions take effect|related|2026-05-13
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---
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---
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# Federal Medicaid work requirements project 4.9-10.1M coverage losses by 2028 representing the largest single structural setback to value-based care transition in a decade
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# Federal Medicaid work requirements project 4.9-10.1M coverage losses by 2028 representing the largest single structural setback to value-based care transition in a decade
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@ -26,8 +26,10 @@ related:
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- glp1-atypical-anorexia-screening-gap-creates-invisible-high-risk-population
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- glp1-atypical-anorexia-screening-gap-creates-invisible-high-risk-population
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- glp1-prescribing-competency-gap-primary-care-psychiatric-monitoring
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- glp1-prescribing-competency-gap-primary-care-psychiatric-monitoring
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- Psychiatry addresses GLP-1 prescribing competency through CME infrastructure rather than formal APA guidelines, creating uneven competency distribution across the prescriber population
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- Psychiatry addresses GLP-1 prescribing competency through CME infrastructure rather than formal APA guidelines, creating uneven competency distribution across the prescriber population
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- GLP-1 telehealth prescribing scales without mandatory eating disorder screening because FDA regulates marketing claims but not prescribing criteria, leaving systematic risk assessment gaps
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reweave_edges:
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reweave_edges:
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- Psychiatry addresses GLP-1 prescribing competency through CME infrastructure rather than formal APA guidelines, creating uneven competency distribution across the prescriber population|related|2026-05-08
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- Psychiatry addresses GLP-1 prescribing competency through CME infrastructure rather than formal APA guidelines, creating uneven competency distribution across the prescriber population|related|2026-05-08
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- GLP-1 telehealth prescribing scales without mandatory eating disorder screening because FDA regulates marketing claims but not prescribing criteria, leaving systematic risk assessment gaps|related|2026-05-13
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---
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---
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# GLP-1 eating disorder screening gap is structural capacity failure not clinical knowledge deficit because professional society guidance requires tri-specialist care teams unavailable in primary care settings where most prescriptions originate
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# GLP-1 eating disorder screening gap is structural capacity failure not clinical knowledge deficit because professional society guidance requires tri-specialist care teams unavailable in primary care settings where most prescriptions originate
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@ -10,7 +10,18 @@ agent: vida
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sourced_from: health/2026-05-12-fda-glp1-telehealth-warning-letters-screening-gap.md
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sourced_from: health/2026-05-12-fda-glp1-telehealth-warning-letters-screening-gap.md
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scope: structural
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scope: structural
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sourcer: STAT News
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sourcer: STAT News
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related: ["ai-telehealth-glp1-prescribing-commoditizes-at-scale-but-generates-systematic-safety-and-fraud-failures"]
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related:
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- ai-telehealth-glp1-prescribing-commoditizes-at-scale-but-generates-systematic-safety-and-fraud-failures
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supports:
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- Beluga Health
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- MD Integrations
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- OpenLoop
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- Telegra
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reweave_edges:
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- Beluga Health|supports|2026-05-13
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- MD Integrations|supports|2026-05-13
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- OpenLoop|supports|2026-05-13
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- Telegra|supports|2026-05-13
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---
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---
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# FDA GLP-1 telehealth warning letters target a concentrated network where 30+ percent of warned firms affiliate with just four medical groups, making regulatory action on four organizations potentially market-transforming
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# FDA GLP-1 telehealth warning letters target a concentrated network where 30+ percent of warned firms affiliate with just four medical groups, making regulatory action on four organizations potentially market-transforming
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@ -12,12 +12,15 @@ scope: structural
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sourcer: Robert Wood Johnson Foundation
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sourcer: Robert Wood Johnson Foundation
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supports:
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supports:
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- obbba-medicaid-work-requirements-destroy-enrollment-stability-required-for-vbc-prevention-roi
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- obbba-medicaid-work-requirements-destroy-enrollment-stability-required-for-vbc-prevention-roi
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- OBBBA Medicaid work requirements will reduce coverage more through documentation-failure disenrollment than through actual non-compliance, because 19-37% of compliant workers cannot prove compliance administratively
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related:
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related:
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- medicaid-work-requirements-cause-coverage-loss-through-procedural-churn-not-employment-screening
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- medicaid-work-requirements-cause-coverage-loss-through-procedural-churn-not-employment-screening
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- obbba-medicaid-work-requirements-destroy-enrollment-stability-required-for-vbc-prevention-roi
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- obbba-medicaid-work-requirements-destroy-enrollment-stability-required-for-vbc-prevention-roi
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- medicaid-work-requirements-produce-19-37-percent-compliant-worker-disenrollment-through-documentation-infrastructure-failure
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- medicaid-work-requirements-produce-19-37-percent-compliant-worker-disenrollment-through-documentation-infrastructure-failure
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- federal-medicaid-work-requirements-project-4-9-10-1m-coverage-losses-by-2028-representing-largest-single-vbc-structural-setback
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- federal-medicaid-work-requirements-project-4-9-10-1m-coverage-losses-by-2028-representing-largest-single-vbc-structural-setback
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- medicaid-work-requirements-cause-7000-9000-excess-deaths-annually-through-administrative-disenrollment-not-ineligibility
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- medicaid-work-requirements-cause-7000-9000-excess-deaths-annually-through-administrative-disenrollment-not-ineligibility
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reweave_edges:
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- OBBBA Medicaid work requirements will reduce coverage more through documentation-failure disenrollment than through actual non-compliance, because 19-37% of compliant workers cannot prove compliance administratively|supports|2026-05-13
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---
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---
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# Medicaid work requirements produce 19-37% compliant worker disenrollment through documentation infrastructure failure not actual non-compliance
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# Medicaid work requirements produce 19-37% compliant worker disenrollment through documentation infrastructure failure not actual non-compliance
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@ -20,6 +20,7 @@ reweave_edges:
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- One Big Beautiful Bill Act (OBBBA)|challenges|2026-04-09
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- One Big Beautiful Bill Act (OBBBA)|challenges|2026-04-09
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- Value-based care requires enrollment stability as structural precondition because prevention ROI depends on multi-year attribution and semi-annual redeterminations break the investment timeline|supports|2026-04-10
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- Value-based care requires enrollment stability as structural precondition because prevention ROI depends on multi-year attribution and semi-annual redeterminations break the investment timeline|supports|2026-04-10
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- Provider tax freeze blocks state CHW expansion by eliminating the funding mechanism not the program because provider taxes fund 17 percent of state Medicaid share and CHW SPAs require state match|related|2026-04-17
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- Provider tax freeze blocks state CHW expansion by eliminating the funding mechanism not the program because provider taxes fund 17 percent of state Medicaid share and CHW SPAs require state match|related|2026-04-17
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- OBBBA produces anticipatory economic damage as states cut Medicaid reimbursement rates and providers implement workforce reductions before federal provisions take effect|related|2026-05-13
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related:
|
related:
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- Provider tax freeze blocks state CHW expansion by eliminating the funding mechanism not the program because provider taxes fund 17 percent of state Medicaid share and CHW SPAs require state match
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- Provider tax freeze blocks state CHW expansion by eliminating the funding mechanism not the program because provider taxes fund 17 percent of state Medicaid share and CHW SPAs require state match
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- obbba-medicaid-work-requirements-destroy-enrollment-stability-required-for-vbc-prevention-roi
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- obbba-medicaid-work-requirements-destroy-enrollment-stability-required-for-vbc-prevention-roi
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@ -28,6 +29,7 @@ related:
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- federal-medicaid-work-requirements-project-4-9-10-1m-coverage-losses-by-2028-representing-largest-single-vbc-structural-setback
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- federal-medicaid-work-requirements-project-4-9-10-1m-coverage-losses-by-2028-representing-largest-single-vbc-structural-setback
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- aca-marketplace-cannot-absorb-medicaid-disenrollment-when-subsidies-expire-simultaneously
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- aca-marketplace-cannot-absorb-medicaid-disenrollment-when-subsidies-expire-simultaneously
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- medicaid-work-requirements-cause-7000-9000-excess-deaths-annually-through-administrative-disenrollment-not-ineligibility
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- medicaid-work-requirements-cause-7000-9000-excess-deaths-annually-through-administrative-disenrollment-not-ineligibility
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- OBBBA produces anticipatory economic damage as states cut Medicaid reimbursement rates and providers implement workforce reductions before federal provisions take effect
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---
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---
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# OBBBA Medicaid work requirements destroy the enrollment stability that value-based care requires for prevention ROI by forcing all 50 states to implement 80-hour monthly work thresholds by December 2026
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# OBBBA Medicaid work requirements destroy the enrollment stability that value-based care requires for prevention ROI by forcing all 50 states to implement 80-hour monthly work thresholds by December 2026
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@ -10,7 +10,12 @@ agent: vida
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sourced_from: health/2026-05-12-sheps-center-aha-300-rural-hospitals-at-risk.md
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sourced_from: health/2026-05-12-sheps-center-aha-300-rural-hospitals-at-risk.md
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scope: structural
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scope: structural
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sourcer: Cecil G. Sheps Center for Health Services Research / AHA News
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sourcer: Cecil G. Sheps Center for Health Services Research / AHA News
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related: ["obbba-medicaid-cuts-create-fiscal-externalities-exceeding-federal-savings-through-spending-multiplier-effects"]
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related:
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- obbba-medicaid-cuts-create-fiscal-externalities-exceeding-federal-savings-through-spending-multiplier-effects
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supports:
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- OBBBA puts over 300 rural hospitals at risk of closure or service reduction because rural hospitals serve 40-60 percent Medicaid/uninsured patients who have no commercial insurance alternatives nearby
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reweave_edges:
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- OBBBA puts over 300 rural hospitals at risk of closure or service reduction because rural hospitals serve 40-60 percent Medicaid/uninsured patients who have no commercial insurance alternatives nearby|supports|2026-05-13
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---
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---
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# OBBBA's $50B Rural Health Fund cannot offset ongoing DSH revenue losses because it is a one-time fund with compressed access window (November 5, 2025 deadline) rather than a structural replacement for continuous DSH payment streams
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# OBBBA's $50B Rural Health Fund cannot offset ongoing DSH revenue losses because it is a one-time fund with compressed access window (November 5, 2025 deadline) rather than a structural replacement for continuous DSH payment streams
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@ -9,6 +9,10 @@ headquarters: [unknown]
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funding: [unknown]
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funding: [unknown]
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key_people: []
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key_people: []
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tags: [telehealth, medical-groups, GLP-1, prescribing-infrastructure]
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tags: [telehealth, medical-groups, GLP-1, prescribing-infrastructure]
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supports:
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||||||
|
- FDA GLP-1 telehealth warning letters target a concentrated network where 30+ percent of warned firms affiliate with just four medical groups, making regulatory action on four organizations potentially market-transforming
|
||||||
|
reweave_edges:
|
||||||
|
- FDA GLP-1 telehealth warning letters target a concentrated network where 30+ percent of warned firms affiliate with just four medical groups, making regulatory action on four organizations potentially market-transforming|supports|2026-05-13
|
||||||
---
|
---
|
||||||
|
|
||||||
# MD Integrations
|
# MD Integrations
|
||||||
|
|
|
||||||
|
|
@ -9,6 +9,10 @@ headquarters: [unknown]
|
||||||
funding: [unknown]
|
funding: [unknown]
|
||||||
key_people: []
|
key_people: []
|
||||||
tags: [telehealth, medical-groups, GLP-1, prescribing-infrastructure]
|
tags: [telehealth, medical-groups, GLP-1, prescribing-infrastructure]
|
||||||
|
supports:
|
||||||
|
- FDA GLP-1 telehealth warning letters target a concentrated network where 30+ percent of warned firms affiliate with just four medical groups, making regulatory action on four organizations potentially market-transforming
|
||||||
|
reweave_edges:
|
||||||
|
- FDA GLP-1 telehealth warning letters target a concentrated network where 30+ percent of warned firms affiliate with just four medical groups, making regulatory action on four organizations potentially market-transforming|supports|2026-05-13
|
||||||
---
|
---
|
||||||
|
|
||||||
# OpenLoop
|
# OpenLoop
|
||||||
|
|
|
||||||
|
|
@ -9,6 +9,10 @@ headquarters: [unknown]
|
||||||
funding: [unknown]
|
funding: [unknown]
|
||||||
key_people: []
|
key_people: []
|
||||||
tags: [telehealth, medical-groups, GLP-1, prescribing-infrastructure]
|
tags: [telehealth, medical-groups, GLP-1, prescribing-infrastructure]
|
||||||
|
supports:
|
||||||
|
- FDA GLP-1 telehealth warning letters target a concentrated network where 30+ percent of warned firms affiliate with just four medical groups, making regulatory action on four organizations potentially market-transforming
|
||||||
|
reweave_edges:
|
||||||
|
- FDA GLP-1 telehealth warning letters target a concentrated network where 30+ percent of warned firms affiliate with just four medical groups, making regulatory action on four organizations potentially market-transforming|supports|2026-05-13
|
||||||
---
|
---
|
||||||
|
|
||||||
# Telegra
|
# Telegra
|
||||||
|
|
|
||||||
Loading…
Reference in a new issue