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131
agents/vida/frontier.md
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131
agents/vida/frontier.md
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# Vida's Knowledge Frontier
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**Last updated:** 2026-03-16 (first self-audit)
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These are the gaps in Vida's health domain knowledge base, ranked by impact on active beliefs. Each gap is a contribution invitation — if you have evidence, experience, or analysis that addresses one of these, the collective wants it.
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---
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## 1. Behavioral Health Infrastructure Mechanisms
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**Why it matters:** Belief 2 — "80-90% of health outcomes are non-clinical" — depends on non-clinical interventions actually working at scale. The health KB has strong evidence that medical care explains only 10-20% of outcomes, but almost nothing about WHAT works to change the other 80-90%.
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**What's missing:**
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- Community health worker program outcomes (ROI, scalability, retention)
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- Social prescribing mechanisms and evidence (UK Link Workers, international models)
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- Digital therapeutics for behavior change (post-PDT market failure — what survived?)
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- Behavioral economics of health (commitment devices, default effects, incentive design)
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- Food-as-medicine programs (Geisinger Fresh Food Farmacy, produce prescription ROI)
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**Adjacent claims:**
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- medical care explains only 10-20 percent of health outcomes...
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- SDOH interventions show strong ROI but adoption stalls...
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- social isolation costs Medicare 7 billion annually...
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- modernization dismantles family and community structures...
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**Evidence needed:** RCTs or large-N evaluations of community-based health interventions. Cost-effectiveness analyses. Implementation science on what makes SDOH programs scale vs stall.
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---
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## 2. International and Comparative Health Systems
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**Why it matters:** Every structural claim in the health KB is US-only. This limits generalizability and misses natural experiments that could strengthen or challenge the attractor state thesis.
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**What's missing:**
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- Singapore's 3M system (Medisave/Medishield/Medifund) — consumer-directed with catastrophic coverage
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- Costa Rica's EBAIS primary care model — universal coverage at 8% of US per-capita spend
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- Japan's Long-Term Care Insurance — aging population, community-based care at scale
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- NHS England — what underfunding + wait times reveal about single-payer failure modes
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- Kerala's community health model — high outcomes at low GDP
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**Adjacent claims:**
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- the healthcare attractor state is a prevention-first system...
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- healthcare is a complex adaptive system requiring simple enabling rules...
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- four competing payer-provider models are converging toward value-based care...
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**Evidence needed:** Comparative health system analyses. WHO/Commonwealth Fund cross-national data. Case studies of systems that achieved prevention-first economics.
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||||
---
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||||
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## 3. GLP-1 Second-Order Economics
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**Why it matters:** GLP-1s are the largest therapeutic category launch in pharmaceutical history. One claim captures market size, but the downstream economic and behavioral effects are uncharted.
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**What's missing:**
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- Long-term adherence data at population scale (current trials are 2-4 years)
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- Insurance coverage dynamics (employer vs Medicare vs cash-pay trajectories)
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- Impact on adjacent markets (bariatric surgery demand, metabolic syndrome treatment)
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- Manufacturing bottleneck economics (Novo/Lilly duopoly, biosimilar timeline)
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- Behavioral rebound after discontinuation (weight regain rates, metabolic reset)
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||||
|
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**Adjacent claims:**
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- GLP-1 receptor agonists are the largest therapeutic category launch...
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- the healthcare cost curve bends up through 2035...
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- consumer willingness to pay out of pocket for AI-enhanced care...
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**Evidence needed:** Real-world adherence studies (not trial populations). Actuarial analyses of GLP-1 impact on total cost of care. Manufacturing capacity forecasts.
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|
||||
---
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||||
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## 4. Clinical AI Real-World Safety Data
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**Why it matters:** Belief 5 — clinical AI safety risks — is grounded in theoretical mechanisms (human-in-the-loop degradation, benchmark vs clinical performance gap) but thin on deployment data.
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**What's missing:**
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- Deployment accuracy vs benchmark accuracy (how much does performance drop in real clinical settings?)
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- Alert fatigue rates in AI-augmented clinical workflows
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- Liability incidents and near-misses from clinical AI deployments
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- Autonomous diagnosis failure modes (systematic biases, demographic performance gaps)
|
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- Clinician de-skilling longitudinal data (is the human-in-the-loop degradation measurable over years?)
|
||||
|
||||
**Adjacent claims:**
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- human-in-the-loop clinical AI degrades to worse-than-AI-alone...
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- medical LLM benchmark performance does not translate to clinical impact...
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- AI diagnostic triage achieves 97 percent sensitivity...
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- healthcare AI regulation needs blank-sheet redesign...
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**Evidence needed:** Post-deployment surveillance studies. FDA adverse event reports for AI/ML medical devices. Longitudinal studies of clinician performance with and without AI assistance.
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||||
---
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||||
|
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## 5. Space Health (Cross-Domain Bridge to Astra)
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**Why it matters:** Space medicine is a natural cross-domain connection that's completely unbuilt. Radiation biology, bone density loss, psychological isolation, and closed-loop life support all have terrestrial health parallels.
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**What's missing:**
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- Radiation biology and cancer risk in long-duration spaceflight
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- Bone density and muscle atrophy countermeasures (pharmaceutical + exercise protocols)
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- Psychological health in isolation and confinement (Antarctic, submarine, ISS data)
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- Closed-loop life support as a model for self-sustaining health systems
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- Telemedicine in extreme environments (latency-tolerant protocols, autonomous diagnosis)
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||||
|
||||
**Adjacent claims:**
|
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- social isolation costs Medicare 7 billion annually...
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- the physician role shifts from information processor to relationship manager...
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- continuous health monitoring is converging on a multi-layer sensor stack...
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**Evidence needed:** NASA Human Research Program publications. ESA isolation studies (SIRIUS, Mars-500). Telemedicine deployment data from remote/extreme environments.
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---
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## 6. Health Narratives and Meaning (Cross-Domain Bridge to Clay)
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**Why it matters:** The health KB asserts that 80-90% of outcomes are non-clinical, and that modernization erodes meaning-making structures. But the connection between narrative, identity, meaning, and health outcomes is uncharted.
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**What's missing:**
|
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- Placebo and nocebo mechanisms — what the placebo effect reveals about narrative-driven physiology
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- Narrative identity in chronic illness — how patients' stories about their condition affect outcomes
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- Meaning-making as health intervention — Viktor Frankl to modern logotherapy evidence
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- Community and ritual as health infrastructure — religious attendance, group membership, and mortality
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- Deaths of despair as narrative failure — the connection between meaning-loss and self-destructive behavior
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||||
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||||
**Adjacent claims:**
|
||||
- Americas declining life expectancy is driven by deaths of despair...
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||||
- modernization dismantles family and community structures...
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- social isolation costs Medicare 7 billion annually...
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**Evidence needed:** Psychoneuroimmunology research. Longitudinal studies on meaning/purpose and health outcomes. Comparative data on health outcomes in high-social-cohesion vs low-social-cohesion communities.
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---
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*Generated from Vida's first self-audit (2026-03-16). These gaps are ranked by impact on active beliefs — Gap 1 affects the foundational claim that non-clinical factors drive health outcomes, which underpins the entire prevention-first thesis.*
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138
agents/vida/self-audit-2026-03-16.md
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agents/vida/self-audit-2026-03-16.md
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# Self-Audit Report: Vida
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**Date:** 2026-03-16
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**Domain:** health
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**Claims audited:** 44
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**Overall status:** WARNING
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---
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||||
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## Structural Findings
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### Schema Compliance: PASS
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- 44/44 files have all required frontmatter (type, domain, description, confidence, source, created)
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- 44/44 descriptions add meaningful context beyond the title
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- 3 files use non-standard extended fields (last_evaluated, depends_on, challenged_by, secondary_domains, tradition) — these are useful extensions but should be documented in schemas/claim.md if adopted collectively
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### Orphan Ratio: CRITICAL — 74% (threshold: 15%)
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- 35 of 47 health claims have zero incoming wiki links from other claims or agent files
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- All 12 "connected" claims receive links only from inbox/archive source files, not from the knowledge graph
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- **This means the health domain is structurally isolated.** Claims link out to each other internally, but no other domain or agent file links INTO health claims.
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**Classification of orphans:**
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- 15 AI/technology claims — should connect to ai-alignment domain
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- 8 business/market claims — should connect to internet-finance, teleological-economics
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- 8 policy/structural claims — should connect to mechanisms, living-capital
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- 4 foundational claims — should connect to critical-systems, cultural-dynamics
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**Root cause:** Extraction-heavy, integration-light. Claims were batch-extracted (22 on Feb 17 alone) without a corresponding integration pass to embed them in the cross-domain graph.
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### Link Health: PASS
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- No broken wiki links detected in claim bodies
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- All `wiki links` resolve to existing files
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||||
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### Staleness: PASS (with caveat)
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- All claims created within the last 30 days (domain is new)
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- However, 22/44 claims cite evidence from a single source batch (Bessemer State of Health AI 2026). Source diversity is healthy at the domain level but thin at the claim level.
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### Duplicate Detection: PASS
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- No semantic duplicates found
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- Two near-pairs worth monitoring:
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- "AI diagnostic triage achieves 97% sensitivity..." and "medical LLM benchmark performance does not translate to clinical impact..." — not duplicates but their tension should be explicit
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- "PACE demonstrates integrated care averts institutionalization..." and "PACE restructures costs from acute to chronic..." — complementary, not duplicates
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||||
|
||||
---
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||||
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||||
## Epistemic Findings
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||||
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||||
### Unacknowledged Contradictions: 3 (HIGH PRIORITY)
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||||
**1. Prevention Economics Paradox**
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- Claim: "the healthcare attractor state...profits from health rather than sickness" (likely)
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- Claim: "PACE restructures costs from acute to chronic spending WITHOUT REDUCING TOTAL EXPENDITURE" (likely)
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- PACE is the closest real-world approximation of the attractor state (100% capitation, fully integrated, community-based). It shows quality/outcome improvement but cost-neutral economics. The attractor state thesis assumes prevention is profitable. PACE says it isn't — the value is clinical and social, not financial.
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- **The attractor claim's body addresses this briefly but the tension is buried, not explicit in either claim's frontmatter.**
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**2. Jevons Paradox vs AI-Enabled Prevention**
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- Claim: "healthcare AI creates a Jevons paradox because adding capacity to sick care induces more demand" (likely)
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- Claim: "the healthcare attractor state" relies on "AI-augmented care delivery" for prevention
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- The Jevons claim asserts ALL healthcare AI optimizes sick care. The attractor state assumes AI can optimize prevention. Neither acknowledges the other.
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**3. Cost Curve vs Attractor State Timeline**
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- Claim: "the healthcare cost curve bends UP through 2035" (likely)
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- Claim: "GLP-1s...net cost impact inflationary through 2035" (likely)
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- Claim: attractor state assumes prevention profitability
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- If costs are structurally inflationary through 2035, the prevention-first attractor can't achieve financial sustainability during the transition period. This timeline constraint isn't acknowledged.
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||||
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### Confidence Miscalibrations: 3
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**Overconfident (should downgrade):**
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1. "Big Food companies engineer addictive products by hacking evolutionary reward pathways" — rated `proven`, should be `likely`. The business practices are evidenced but "intentional hacking" of reward pathways is interpretation, not empirically proven via RCT.
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2. "AI scribes reached 92% provider adoption" — rated `proven`, should be `likely`. The 92% figure is "deploying, implementing, or piloting" (Bessemer), not proven adoption. The causal "because" clause is inferred.
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3. "CMS 2027 chart review exclusion targets vertical integration profit arbitrage" — rated `proven`, should be `likely`. CMS intent is inferred from policy mechanics, not explicitly documented.
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|
||||
**Underconfident (could upgrade):**
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1. "consumer willingness to pay out of pocket for AI-enhanced care" — rated `likely`, could be `proven`. RadNet study (N=747,604) showing 36% choosing $40 AI premium is large-scale empirical market behavior data.
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### Belief Grounding: WARNING
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- Belief 1 ("healthspan is the binding constraint") — well-grounded in 7+ claims
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- Belief 2 ("80-90% of health outcomes are non-clinical") — grounded in `medical care explains 10-20%` (proven) but THIN on what actually works to change behavior. Only 1 claim touches SDOH interventions, 1 on social isolation. No claims on community health workers, social prescribing mechanisms, or behavioral economics of health.
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- Belief 3 ("structural misalignment") — well-grounded in CMS, payvidor, VBC claims
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- Belief 4 ("atoms-to-bits") — grounded in wearables + Function Health claims
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- Belief 5 ("clinical AI + safety risks") — grounded in human-in-the-loop degradation, benchmark vs clinical impact. But thin on real-world deployment safety data.
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### Scope Issues: 3
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1. "AI-first screening viable for ALL imaging and pathology" — evidence covers 14 CT conditions and radiology, not all imaging/pathology modalities. Universal is unwarranted.
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2. "the physician role SHIFTS from information processor to relationship manager" — stated as completed fact; evidence shows directional trend, not completed transformation.
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3. "the healthcare attractor state...PROFITS from health" — financial profitability language is stronger than PACE evidence supports. "Incentivizes health" would be more accurate.
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||||
---
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||||
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## Knowledge Gaps (ranked by impact on beliefs)
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1. **Behavioral health infrastructure mechanisms** — Belief 2 depends on non-clinical interventions working at scale. Almost no claims about WHAT works: community health worker programs, social prescribing, digital therapeutics for behavior change. This is the single biggest gap.
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2. **International/comparative health systems** — Zero non-US claims. Singapore 3M, Costa Rica EBAIS, Japan LTCI, NHS England are all in the archive but unprocessed. Limits the generalizability of every structural claim.
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||||
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3. **GLP-1 second-order economics** — One claim on market size. Nothing on: adherence at scale, insurance coverage dynamics, impact on bariatric surgery demand, manufacturing bottlenecks, Novo/Lilly duopoly dynamics.
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4. **Clinical AI real-world safety data** — Belief 5 claims safety risks but evidence is thin. Need: deployment accuracy vs benchmark, alert fatigue rates, liability incidents, autonomous diagnosis failure modes.
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5. **Space health** — Zero claims. Cross-domain bridge to Astra is completely unbuilt. Radiation biology, bone density, psychological isolation — all relevant to both space medicine and terrestrial health.
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6. **Health narratives and meaning** — Cross-domain bridge to Clay is unbuilt. Placebo mechanisms, narrative identity in chronic illness, meaning-making as health intervention.
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||||
---
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||||
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## Cross-Domain Health
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- **Internal linkage:** Dense — most health claims link to 2-5 other health claims
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- **Cross-domain linkage ratio:** ~5% (CRITICAL — threshold is 15%)
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- **Missing connections:**
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- health ↔ ai-alignment: 15 AI-related health claims, zero links to Theseus's domain
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- health ↔ internet-finance: VBC/CMS/GLP-1 economics claims, zero links to Rio's domain
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- health ↔ critical-systems: "healthcare is a complex adaptive system" claim, zero links to foundations/critical-systems/
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- health ↔ cultural-dynamics: deaths of despair, modernization claims, zero links to foundations/cultural-dynamics/
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- health ↔ space-development: zero claims, zero links
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||||
---
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||||
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## Recommended Actions (prioritized)
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### Critical
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1. **Resolve prevention economics contradiction** — Add `challenged_by` to attractor state claim pointing to PACE cost evidence. Consider new claim: "prevention-first care models improve quality without reducing total costs during transition, making the financial case dependent on regulatory and payment reform rather than inherent efficiency"
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2. **Address Jevons-prevention tension** — Either scope the Jevons claim ("AI applied to SICK CARE creates Jevons paradox") or explain the mechanism by which prevention-oriented AI avoids the paradox
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||||
3. **Integration pass** — Batch PR adding incoming wiki links from core/, foundations/, and other domains/ to the 35 orphan claims. This is the highest-impact structural fix.
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||||
### High
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4. **Downgrade 3 confidence levels** — Big Food (proven→likely), AI scribes (proven→likely), CMS chart review (proven→likely)
|
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5. **Scope 3 universals** — AI diagnostic triage ("CT and radiology" not "all"), physician role ("shifting toward" not "shifts"), attractor state ("incentivizes" not "profits from")
|
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6. **Upgrade 1 confidence level** — Consumer willingness to pay (likely→proven)
|
||||
|
||||
### Medium
|
||||
7. **Fill Belief 2 gap** — Extract behavioral health infrastructure claims from existing archive sources
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8. **Build cross-domain links** — Start with health↔ai-alignment (15 natural connection points) and health↔critical-systems (complex adaptive system claim)
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|
||||
---
|
||||
|
||||
*This report was generated using the self-audit skill (skills/self-audit.md). First audit of the health domain.*
|
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@ -39,6 +39,12 @@ The 60%→26% collapse in consumer enthusiasm for AI-generated creator content b
|
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|
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The binding constraint is specifically a moral disgust response in emotionally meaningful contexts, not just general acceptance issues. Journal of Business Research found that AI authorship triggers moral disgust even when content is identical to human-written versions. This suggests the gate is values-based rejection, not quality assessment.
|
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|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*Source: [[2026-02-01-seedance-2-ai-video-benchmark]] | Added: 2026-03-16*
|
||||
|
||||
Sora standalone app achieved 12 million downloads but retention below 8% at day 30 (vs 30%+ benchmark for successful apps), demonstrating that even among early adopters who actively sought AI video tools, usage hasn't created a compelling habit. This empirically confirms that capability has outpaced demand-side acceptance.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -25,6 +25,12 @@ This is more dangerous for incumbents than simple cost competition because they
|
|||
|
||||
The 2026 emergence of 'human-made' as a premium market label provides concrete evidence that quality definition now explicitly includes provenance and human creation as consumer-valued attributes distinct from production value. WordStream reports that 'the human-made label will be a selling point that content marketers use to signal the quality of their creation.' EY notes consumers want 'human-led storytelling, emotional connection, and credible reporting,' indicating quality now encompasses verifiable human authorship. PrismHaus reports brands using 'Human-Made' labels see higher conversion rates, demonstrating consumer preference reveals this new quality dimension through revealed preference (higher engagement/purchase). This extends the original claim by showing that quality definition has shifted to include verifiable human provenance as a distinct dimension orthogonal to traditional production metrics (cinematography, sound design, editing, etc.).
|
||||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2026-02-01-seedance-2-ai-video-benchmark]] | Added: 2026-03-16*
|
||||
|
||||
The 2026 benchmark shows AI video quality (hand anatomy, lip-sync) has crossed the threshold where technical tells are no longer visible, yet consumer adoption remains low (Sora <8% D30 retention). This suggests that once quality becomes indistinguishable, the preference signal shifts to factors other than production value — likely authenticity, provenance, or use case fit rather than visual fidelity.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -24,17 +24,23 @@ The "night and day" characterization is a single practitioner's account and may
|
|||
|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*Source: [[2024-08-01-variety-indie-streaming-dropout-nebula-critical-role]] | Added: 2026-03-15 | Extractor: anthropic/claude-sonnet-4.5*
|
||||
*Source: 2024-08-01-variety-indie-streaming-dropout-nebula-critical-role | Added: 2026-03-15 | Extractor: anthropic/claude-sonnet-4.5*
|
||||
|
||||
Nebula reports approximately 2/3 of subscribers on annual memberships, indicating high-commitment deliberate choice rather than casual trial. All three platforms (Dropout, Nebula, Critical Role) emphasize community-driven discovery over algorithm-driven discovery, with fandom-backed growth models. The dual-platform strategy—maintaining YouTube for algorithmic reach while monetizing through owned platforms—demonstrates that owned-platform subscribers are making deliberate choices to pay for content available (in some form) for free elsewhere.
|
||||
|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*Source: [[2026-03-01-multiple-creator-economy-owned-revenue-statistics]] | Added: 2026-03-16*
|
||||
|
||||
88% of high-earning 'Entrepreneurial Creators' leverage their own websites and 75% have membership communities, compared to 'Social-First' creators who earn 189% less. The income differential provides economic evidence that owned platforms create different (and more valuable) audience relationships.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
- [[streaming churn may be permanently uneconomic because maintenance marketing consumes up to half of average revenue per user]] — creator-owned subscription avoids the churn trap because subscriber motivation is identity-based not passive discovery
|
||||
- [[fanchise management is a stack of increasing fan engagement from content extensions through co-creation and co-ownership]] — the deliberate subscription act represents fans at level 3+ of the engagement stack, not passive viewers at level 1
|
||||
- [[creator-owned streaming infrastructure has reached commercial scale with $430M annual creator revenue across 13M subscribers]] — the infrastructure enabling this relationship model is now commercially proven
|
||||
- [[established creators generate more revenue from owned streaming subscriptions than from equivalent social platform ad revenue]] — the revenue premium is explained by the deliberate subscriber relationship this claim describes
|
||||
- creator-owned streaming infrastructure has reached commercial scale with $430M annual creator revenue across 13M subscribers — the infrastructure enabling this relationship model is now commercially proven
|
||||
- established creators generate more revenue from owned streaming subscriptions than from equivalent social platform ad revenue — the revenue premium is explained by the deliberate subscriber relationship this claim describes
|
||||
- [[social video is already 25 percent of all video consumption and growing because dopamine-optimized formats match generational attention patterns]] — the contrast case: social video optimizes for passive algorithmic consumption while owned streaming optimizes for deliberate subscriber engagement
|
||||
|
||||
Topics:
|
||||
|
|
|
|||
|
|
@ -22,16 +22,22 @@ The $430M figure is particularly significant because it represents revenue flowi
|
|||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2025-05-01-ainvest-taylor-swift-catalog-buyback-ip-ownership]] | Added: 2026-03-12 | Extractor: anthropic/claude-sonnet-4.5*
|
||||
*Source: 2025-05-01-ainvest-taylor-swift-catalog-buyback-ip-ownership | Added: 2026-03-12 | Extractor: anthropic/claude-sonnet-4.5*
|
||||
|
||||
Taylor Swift's direct theater distribution (AMC concert film, 57/43 revenue split) extends the creator-owned infrastructure thesis beyond digital streaming to physical exhibition venues. The deal demonstrates that creator-owned distribution infrastructure now spans digital streaming AND physical exhibition, suggesting the $430M creator streaming revenue figure understates total creator-owned distribution economics by excluding direct physical distribution deals. This indicates creator-owned infrastructure is broader than streaming-only and may represent a larger total addressable market than current estimates capture.
|
||||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2024-08-01-variety-indie-streaming-dropout-nebula-critical-role]] | Added: 2026-03-15 | Extractor: anthropic/claude-sonnet-4.5*
|
||||
*Source: 2024-08-01-variety-indie-streaming-dropout-nebula-critical-role | Added: 2026-03-15 | Extractor: anthropic/claude-sonnet-4.5*
|
||||
|
||||
Dropout reached 1M+ subscribers by October 2025. Nebula revenue more than doubled in past year with approximately 2/3 of subscribers on annual memberships (high commitment signal indicating sustainable revenue). Critical Role launched Beacon at $5.99/month in May 2024 and invested in growth by hiring a General Manager for Beacon in January 2026. All three platforms maintain parallel YouTube presence for acquisition while monetizing through owned platforms, demonstrating the dual-platform strategy as a structural pattern across the category.
|
||||
|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*Source: [[2026-03-01-multiple-creator-economy-owned-revenue-statistics]] | Added: 2026-03-16*
|
||||
|
||||
88% of high-earning creators now leverage their own websites and 75% have membership communities, showing that owned infrastructure has become standard practice for successful creators, not an experimental edge case.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -21,10 +21,16 @@ This aligns with [[when profits disappear at one layer of a value chain they eme
|
|||
|
||||
The counter-argument is that Dropout is an unusually strong brand with exceptional content quality (College Humor alumni, Dimension 20) and subscriber loyalty that most creators cannot replicate. The "far and away biggest revenue driver" claim may not generalize to mid-tier creators for whom YouTube ad revenue remains the primary monetization path. This is why the confidence is rated experimental rather than likely — the mechanism is plausible and the evidence from one prominent case is suggestive, but systematic cross-creator comparison data does not exist in this source.
|
||||
|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*Source: [[2026-03-01-multiple-creator-economy-owned-revenue-statistics]] | Added: 2026-03-16*
|
||||
|
||||
Owned-revenue creators earn 189% more than platform-dependent creators, with 88% using their own websites and 75% operating membership communities. This aggregate data confirms the revenue advantage of owned distribution at population scale, not just for individual case studies.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
- [[creator-owned streaming infrastructure has reached commercial scale with $430M annual creator revenue across 13M subscribers]] — context for the revenue model: owned infrastructure is now accessible to creators at Dropout's scale
|
||||
- creator-owned streaming infrastructure has reached commercial scale with $430M annual creator revenue across 13M subscribers — context for the revenue model: owned infrastructure is now accessible to creators at Dropout's scale
|
||||
- [[streaming churn may be permanently uneconomic because maintenance marketing consumes up to half of average revenue per user]] — the subscription model at Dropout appears to avoid the churn trap that afflicts corporate streaming, suggesting a structural difference in subscriber motivation
|
||||
- [[creator and corporate media economies are zero-sum because total media time is stagnant and every marginal hour shifts between them]] — Dropout's revenue mix evidences the economic reallocation from platform-mediated to creator-owned distribution
|
||||
- [[when profits disappear at one layer of a value chain they emerge at an adjacent layer through the conservation of attractive profits]] — value migrated from ad-supported platform distribution to direct subscription relationships
|
||||
|
|
|
|||
|
|
@ -29,6 +29,12 @@ A concrete early signal: a 9-person team reportedly produced an animated film fo
|
|||
|
||||
McKinsey projects $10B of US original content spend (approximately 20% of total) will be addressable by AI by 2030, with single-digit productivity improvements already visible in some use cases. However, AI-generated output is not yet at quality level to drive meaningful disruption in premium production.
|
||||
|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*Source: [[2026-02-01-seedance-2-ai-video-benchmark]] | Added: 2026-03-16*
|
||||
|
||||
Seedance 2.0 benchmark data from 2026 shows near-perfect hand anatomy scores (complex finger movements with zero visible hallucinations), native 2K resolution, and 4-15 second dynamic duration. Hand anatomy was the most visible quality barrier in 2024; crossing this threshold with phoneme-level lip-sync across 8+ languages indicates AI video has reached the technical capability for live-action substitution in many production contexts.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -36,10 +36,16 @@ This is a proxy inertia story. Since [[proxy inertia is the most reliable predic
|
|||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2026-02-23-cbo-medicare-trust-fund-2040-insolvency]] | Added: 2026-03-12 | Extractor: anthropic/claude-sonnet-4.5*
|
||||
*Source: 2026-02-23-cbo-medicare-trust-fund-2040-insolvency | Added: 2026-03-12 | Extractor: anthropic/claude-sonnet-4.5*
|
||||
|
||||
(extend) The trust fund insolvency timeline creates intensifying pressure for MA payment reform through the 2030s. With exhaustion now projected for 2040 (12 years earlier than 2025 estimates), MA overpayments of $84B/year become increasingly unsustainable from a fiscal perspective. Reducing MA benchmarks could save $489B over the decade, significantly extending solvency. The chart review exclusion is one mechanism in a broader reform trajectory: either restructure MA payments or accept automatic 8-10% benefit cuts for all Medicare beneficiaries starting 2040. The political economy strongly favors MA reform over across-the-board cuts, meaning chart review exclusions will likely be part of a suite of MA payment reforms driven by fiscal necessity rather than ideological preference.
|
||||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2026-02-01-cms-2027-advance-notice-ma-rates]] | Added: 2026-03-16*
|
||||
|
||||
The 2027 chart review exclusion is explicitly described as 'the most targeted reform to date against retrospective code-mining' and projects >$7 billion in savings. The rule excludes ALL diagnoses from unlinked chart review records (not tied to documented service), allowing chart review diagnoses only if tied to actual medical encounters. This is more comprehensive than previous incremental reforms.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -25,10 +25,16 @@ Since [[proxy inertia is the most reliable predictor of incumbent failure becaus
|
|||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2025-07-24-kff-medicare-advantage-2025-enrollment-update]] | Added: 2026-03-15*
|
||||
*Source: 2025-07-24-kff-medicare-advantage-2025-enrollment-update | Added: 2026-03-15*
|
||||
|
||||
Market concentration data shows UHG gained 505K members while Humana lost 297K in 2025, suggesting the oligopoly is consolidating further toward the largest player. This creates the competitive environment where purpose-built entrants like Devoted can differentiate through technology rather than scale.
|
||||
|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*Source: [[2026-02-01-cms-2027-advance-notice-ma-rates]] | Added: 2026-03-16*
|
||||
|
||||
Industry analysis explicitly notes that 'purpose-built MA plans (lower coding intensity, genuine care delivery) are better positioned than acquisition-based plans' in response to the 2027 reform package. Insurers warn that flat rates plus chart review exclusion could drive benefit cuts and market exits, suggesting acquisition-based models face existential pressure.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -19,22 +19,28 @@ The competitive dynamics (Lilly vs. Novo vs. generics post-2031) will drive pric
|
|||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2024-08-01-jmcp-glp1-persistence-adherence-commercial-populations]] | Added: 2026-03-15 | Extractor: anthropic/claude-sonnet-4.5*
|
||||
*Source: 2024-08-01-jmcp-glp1-persistence-adherence-commercial-populations | Added: 2026-03-15 | Extractor: anthropic/claude-sonnet-4.5*
|
||||
|
||||
Real-world persistence data from 125,474 commercially insured patients shows the chronic use model fails not because patients choose indefinite use, but because most cannot sustain it: only 32.3% of non-diabetic obesity patients remain on GLP-1s at one year, dropping to approximately 15% at two years. This creates a paradox for payer economics—the "inflationary chronic use" concern assumes sustained adherence, but the actual problem is insufficient persistence. Under capitation, payers pay for 12 months of therapy ($2,940 at $245/month) for patients who discontinue and regain weight, capturing net cost with no downstream savings from avoided complications. The economics only work if adherence is sustained AND the payer captures downstream benefits—with 85% discontinuing by two years, the downstream cardiovascular and metabolic savings that justify the cost never materialize for most patients.
|
||||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2025-06-01-cell-med-glp1-societal-implications-obesity]] | Added: 2026-03-15*
|
||||
*Source: 2025-06-01-cell-med-glp1-societal-implications-obesity | Added: 2026-03-15*
|
||||
|
||||
The Cell Press review characterizes GLP-1s as marking a 'system-level redefinition' of cardiometabolic management with 'ripple effects across healthcare costs, insurance models, food systems, long-term population health.' Obesity costs the US $400B+ annually, providing context for the scale of potential cost impact. The WHO issued conditional recommendations within 2 years of widespread adoption (December 2025), unusually fast for a major therapeutic category.
|
||||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2025-03-01-medicare-prior-authorization-glp1-near-universal]] | Added: 2026-03-15*
|
||||
*Source: 2025-03-01-medicare-prior-authorization-glp1-near-universal | Added: 2026-03-15*
|
||||
|
||||
MA plans' near-universal prior authorization creates administrative friction that may worsen the already-poor adherence rates for GLP-1s. PA requirements ensure only T2D-diagnosed patients can access, effectively blocking obesity-only coverage despite FDA approval. This access restriction compounds the chronic-use economics challenge by adding administrative barriers on top of existing adherence problems.
|
||||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2025-05-01-nejm-semaglutide-mash-phase3-liver]] | Added: 2026-03-16*
|
||||
|
||||
MASH/NASH is projected to become the leading cause of liver transplantation. GLP-1s now demonstrate efficacy across three major organ systems (cardiovascular, renal, hepatic), which strengthens the multi-indication economic case for chronic use. The 62.9% MASH resolution rate suggests GLP-1s could prevent progression to late-stage liver disease and transplantation, though the Value in Health Medicare study showed only $28M MASH savings—surprisingly small given clinical magnitude, likely because MASH progression to transplant takes decades and falls outside typical budget scoring windows.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -32,10 +32,16 @@ For value-based care models and capitated payers, this multi-organ protection cr
|
|||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2025-12-23-jama-cardiology-select-hospitalization-analysis]] | Added: 2026-03-16*
|
||||
*Source: 2025-12-23-jama-cardiology-select-hospitalization-analysis | Added: 2026-03-16*
|
||||
|
||||
SELECT trial exploratory analysis (N=17,604, median 41.8 months) shows semaglutide reduces ALL-CAUSE hospitalizations by 10% (18.3 vs 20.4 per 100 patient-years, P<.001) and total hospital days by 11% (157.2 vs 176.2 days per 100 patient-years, P=.01). Critically, benefits extended beyond cardiovascular causes to total hospitalization burden, suggesting systemic effects across multiple organ systems.
|
||||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2025-05-01-nejm-semaglutide-mash-phase3-liver]] | Added: 2026-03-16*
|
||||
|
||||
Phase 3 trial shows semaglutide 2.4mg achieves 62.9% resolution of steatohepatitis without worsening fibrosis vs 34.3% placebo. Meta-analysis confirms GLP-1 RAs significantly increase histologic resolution of MASH, decrease liver fat deposition, improve hepatocellular ballooning, and reduce lobular inflammation. Some hepatoprotective benefits appear at least partly independent of weight loss, suggesting direct liver effects beyond metabolic improvement. This adds hepatic protection as a third major organ system (alongside cardiovascular and renal) where GLP-1s demonstrate protective effects.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -28,6 +28,12 @@ The services ready to shift include primary care, outpatient specialist consults
|
|||
|
||||
This facility-to-home migration is the physical infrastructure layer of [[the healthcare attractor state is a prevention-first system where aligned payment continuous monitoring and AI-augmented care delivery create a flywheel that profits from health rather than sickness]]. If value-based care provides the payment alignment and continuous monitoring provides the data layer, the home is where these capabilities converge into actual care delivery. The 3-4x scaling requirement ($65B → $265B) matches the magnitude of the VBC payment transition tracked in [[value-based care transitions stall at the payment boundary because 60 percent of payments touch value metrics but only 14 percent bear full risk]].
|
||||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2021-02-00-mckinsey-facility-to-home-265-billion-shift]] | Added: 2026-03-16*
|
||||
|
||||
McKinsey projects the $265B shift requires a 3-4x increase in home care capacity from current $65B baseline. Johns Hopkins hospital-at-home demonstrates 19-30% cost savings vs. in-hospital care, while home-based heart failure management shows 52% lower costs. The enabling technology stack includes RPM market growing from $29B to $138B (2024-2033) at 19% CAGR, with AI in RPM growing 27.5% CAGR ($2B to $8.4B, 2024-2030). 71M Americans expected to use RPM by 2025. Demand signal: 94% of Medicare beneficiaries prefer home-based post-acute care, with 16% of 65+ respondents more likely to receive home health post-pandemic.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -31,10 +31,16 @@ The political economy strongly favors Option A. The fiscal pressure builds conti
|
|||
|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*Source: [[2025-07-24-kff-medicare-advantage-2025-enrollment-update]] | Added: 2026-03-15*
|
||||
*Source: 2025-07-24-kff-medicare-advantage-2025-enrollment-update | Added: 2026-03-15*
|
||||
|
||||
The spending gap grew from $18B (2015) to $84B (2025), a 4.7x increase while enrollment only doubled. At 64% penetration by 2034 (CBO projection) with 20% per-person premium, annual overpayment will exceed $150B. The arithmetic forces reform regardless of political preferences.
|
||||
|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*Source: [[2026-02-01-cms-2027-advance-notice-ma-rates]] | Added: 2026-03-16*
|
||||
|
||||
The 2027 reform package represents CMS executing sustained compression through regulatory tightening rather than waiting for fiscal crisis. The >$7 billion projected savings from chart review exclusion alone demonstrates arithmetic-driven reform acceleration.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -27,6 +27,12 @@ This claim connects the technology layer ([[continuous health monitoring is conv
|
|||
|
||||
The atoms-to-bits conversion happens at the patient's home ([[healthcares defensible layer is where atoms become bits because physical-to-digital conversion generates the data that powers AI care while building patient trust that software alone cannot create]]), and the AI layer makes that data clinically useful ([[AI middleware bridges consumer wearable data to clinical utility because continuous data is too voluminous for direct clinician review]]).
|
||||
|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*Source: [[2021-02-00-mckinsey-facility-to-home-265-billion-shift]] | Added: 2026-03-16*
|
||||
|
||||
McKinsey identifies RPM as the fastest-growing home healthcare end-use segment at 25.3% CAGR, with home healthcare specifically as the fastest-growing RPM application. The technology stack enables dialysis, post-acute care, long-term care, and infusions to become 'stitchable capabilities' that can shift home. COVID catalyzed permanent shift in care delivery expectations through telehealth adoption.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -33,6 +33,12 @@ The multiplicative decrease (halving workers on congestion) provides rapid respo
|
|||
|
||||
This is an application of proven AIMD theory to a specific system architecture, but the actual performance in the Teleo pipeline context is untested. The claim that AIMD is "perfect for" this setting is theoretical—empirical validation would strengthen confidence from experimental to likely.
|
||||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2026-02-09-oneuptime-hpa-object-metrics-queue-scaling]] | Added: 2026-03-16*
|
||||
|
||||
KEDA's two-phase scaling (0→1 via event trigger, 1→N via HPA metrics) implements a form of threshold-based scaling without requiring load prediction. The system observes queue state and responds with simple rules: any messages present triggers minimum capacity, then HPA scales linearly with queue depth. This validates that simple observation-based policies work in production without sophisticated prediction models.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -31,6 +31,12 @@ For the Teleo pipeline specifically: when extract produces claims faster than ev
|
|||
|
||||
The tradeoff: AIMD is reactive rather than predictive, so it responds to load changes rather than anticipating them. For bursty workloads with predictable patterns, ML-based prediction might provision capacity faster. But for unpredictable workloads or systems where prediction accuracy is low, AIMD's simplicity and guaranteed stability are compelling.
|
||||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2025-04-25-bournassenko-queueing-theory-cicd-pipelines]] | Added: 2026-03-16*
|
||||
|
||||
M/M/c queueing models provide theoretical foundation for why queue-state-based scaling works: closed-form solutions exist for wait times given arrival rates and server counts, meaning optimal worker allocation can be computed from observable queue depth without predicting future load.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -6,6 +6,12 @@ description: The first futarchy-governed meme coin launch raised $11.4M in under
|
|||
confidence: experimental
|
||||
tags: [futarchy, meme-coins, capital-formation, governance, speculation]
|
||||
created: 2026-03-04
|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*Source: [[2026-02-25-futardio-launch-rock-game]] | Added: 2026-03-16*
|
||||
|
||||
Rock Game raised $272 against a $10 target (27.2x oversubscription) on futardio, demonstrating continued ability of futarchy-governed launches to attract speculative capital even for trivial projects with minimal substance.
|
||||
|
||||
---
|
||||
|
||||
# Futarchy-governed meme coins attract speculative capital at scale
|
||||
|
|
|
|||
|
|
@ -31,7 +31,7 @@ This claim extends futarchy-governed-permissionless-launches-require-brand-separ
|
|||
### Additional Evidence (confirm)
|
||||
*Source: [[2024-08-28-futardio-proposal-test-proposal-based-on-metadao-content]] | Added: 2026-03-16*
|
||||
|
||||
MetaDAO's futardio proposal explicitly identified the reputational risk tradeoff, listing 'Makes futarchy look less serious' and 'May make it harder to sell DeFi DAOs / non-crypto organizations' as potential pitfalls. The proposal failed, suggesting the market priced reputational damage higher than adoption benefits. The proposal noted it could 'make it harder to recruit contributors' - indicating concern about talent acquisition impact from memecoin association.
|
||||
Proposal lists 'Makes futarchy look less serious' and 'May make it harder to sell DeFi DAOs / non-crypto organizations' as explicit potential pitfalls, showing MetaDAO leadership recognized the reputational risk before launching futardio.
|
||||
|
||||
---
|
||||
|
||||
|
|
|
|||
|
|
@ -57,16 +57,22 @@ Dean's List treasury proposal passed despite requiring active market participati
|
|||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2025-01-14-futardio-proposal-should-deans-list-dao-update-the-liquidity-fee-structure]] | Added: 2026-03-15*
|
||||
*Source: 2025-01-14-futardio-proposal-should-deans-list-dao-update-the-liquidity-fee-structure | Added: 2026-03-15*
|
||||
|
||||
Dean's List DAO fee structure proposal passed despite requiring traders to actively migrate to new pools and accept 20x higher fees (0.25% to 5%). The proposal explicitly acknowledged potential 20-30% volume decrease but passed anyway, suggesting the market priced the net treasury benefit (~$19k-25k annual growth) as worth the migration friction. This demonstrates that futarchy can approve proposals with significant user friction when the economic benefit is clear.
|
||||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2025-01-14-futardio-proposal-should-deans-list-dao-update-the-liquidity-fee-structure]] | Added: 2026-03-16*
|
||||
*Source: 2025-01-14-futardio-proposal-should-deans-list-dao-update-the-liquidity-fee-structure | Added: 2026-03-16*
|
||||
|
||||
Dean's List DAO proposal passed with TWAP threshold requiring only 3% MCAP increase ($307,855 vs $298,889 baseline), suggesting the market viewed the fee increase as marginally positive but not strongly so. The conservative 3% threshold indicates either low participation or weak conviction despite clear revenue projections showing 20x fee increase.
|
||||
|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*Source: [[2024-07-18-futardio-proposal-enhancing-the-deans-list-dao-economic-model]] | Added: 2026-03-16*
|
||||
|
||||
The Dean's List proposal passed futarchy governance despite requiring complex multi-step economic modeling (FDV projections, TWAP calculations, sell pressure estimates) that most token holders would not independently verify. The 5.33% projected FDV increase exceeded the 3% TWAP requirement, suggesting the proposal's passage reflected trust in the model rather than independent market validation of the buyback mechanics.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -28,6 +28,12 @@ For Teleo pipeline: if processing ~8 sources per extraction cycle (every 5 min)
|
|||
|
||||
More generally: λ = average sources per second, W = average extraction time. Total workers needed ≥ λ × W gives the minimum worker floor. Additional capacity rules (like square-root staffing) provide the safety margin above that floor.
|
||||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2025-04-25-bournassenko-queueing-theory-cicd-pipelines]] | Added: 2026-03-16*
|
||||
|
||||
M/M/c queueing theory provides closed-form solutions for expected wait times given worker counts, enabling precise capacity planning beyond Little's Law's minimum floor. The framework connects arrival rate modeling to worker count optimization through explicit formulas that account for variance.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -38,7 +38,7 @@ MetaDAO's Futardio proposal explicitly states: 'One of the ideal use-cases for f
|
|||
### Additional Evidence (confirm)
|
||||
*Source: [[2024-08-28-futardio-proposal-test-proposal-based-on-metadao-content]] | Added: 2026-03-16*
|
||||
|
||||
The futardio proposal explicitly stated: 'One of the ideal use-cases for futarchy is memecoin governance. This is because memecoin holders only want the price of the token to increase. There's no question of maybe the market knows what's the best short-term action, but not the best long-term action.' This directly articulates the single-objective-function advantage that makes memecoins theoretically ideal for futarchy.
|
||||
MetaDAO proposal explicitly states 'memecoin holders only want the price of the token to increase. There's no question of "maybe the market knows what's the best short-term action, but not the best long-term action."' This confirms the theoretical argument with direct practitioner reasoning.
|
||||
|
||||
---
|
||||
|
||||
|
|
|
|||
|
|
@ -44,10 +44,22 @@ Loyal's fundraise achieved 151x oversubscription ($75.9M committed vs $500K targ
|
|||
|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*Source: [[2025-11-14-futardio-launch-solomon]] | Added: 2026-03-16*
|
||||
*Source: 2025-11-14-futardio-launch-solomon | Added: 2026-03-16*
|
||||
|
||||
Solomon raised $102.9M committed against $2M target (51x oversubscription), closing at $8M final raise. This adds to the pattern of massive oversubscription on futarchy-governed launches, following earlier examples like Cult's $11.4M single-day raise.
|
||||
|
||||
|
||||
### Additional Evidence (challenge)
|
||||
*Source: 2026-02-03-futardio-launch-hurupay | Added: 2026-03-16*
|
||||
|
||||
Hurupay raised $2,003,593 against a $3,000,000 target (67% of goal) and entered 'Refunding' status, demonstrating that futarchy-governed fundraises can fail to meet targets. This contrasts with the 15x oversubscription pattern and suggests market mechanisms can reject projects even with demonstrated traction ($36M+ processed volume, $500K+ revenue, 30K+ users).
|
||||
|
||||
|
||||
### Additional Evidence (challenge)
|
||||
*Source: [[2026-03-03-futardio-launch-cloak]] | Added: 2026-03-16*
|
||||
|
||||
Cloak raised only $1,455 against a $300,000 target (0.5% of target), entering refunding status. This represents a near-total failure of market validation, contrasting sharply with the 15x oversubscription pattern. The project had shipped product (live mainnet beta with Oro integration), had credible team (repeat builders, Superteam contributors), and addressed a real problem (MEV extraction on DCA orders). Despite these fundamentals, the futarchy-governed raise failed to attract capital, suggesting that product-market fit and team credibility are insufficient without pre-existing community or distribution.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -27,6 +27,12 @@ Ward Whitt presents this as a fundamental result from multi-server queueing anal
|
|||
|
||||
This is observable in practice across industries: Amazon's fulfillment centers, telecom networks, and financial trading systems all exhibit this scaling behavior.
|
||||
|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*Source: [[2025-04-25-bournassenko-queueing-theory-cicd-pipelines]] | Added: 2026-03-16*
|
||||
|
||||
M/M/c queue analysis demonstrates that the marginal improvement of worker N+1 decreases as N grows, providing mathematical proof that safety margins scale sublinearly. This is a fundamental property of multi-server queues, not just an empirical observation.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -36,13 +36,19 @@ This is the first implementation — no track record exists for futarchy-governe
|
|||
- Team performance unlocks tied to 2x/4x/8x/16x/32x token price with 18-month cliff — unproven alignment mechanism for physical operations with high operational burn
|
||||
- Tension between real-world operational requirements (fixed deadlines, vendor deposits) and futarchy's market-based approval process
|
||||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2026-01-01-futardio-launch-mycorealms]] | Added: 2026-03-16*
|
||||
|
||||
MycoRealms implements performance-based team token unlocking with 5 tranches at 2x, 4x, 8x, 16x, and 32x ICO price via 3-month TWAP with 18-month minimum cliff, meaning team receives zero tokens at launch and nothing if price never reaches 2x. This creates alignment without initial dilution in physical infrastructure context.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
- [[MetaDAO is the futarchy launchpad on Solana where projects raise capital through unruggable ICOs governed by conditional markets creating the first platform for ownership coins at scale.md]]
|
||||
- [[futarchy-governed DAOs converge on traditional corporate governance scaffolding for treasury operations because market mechanisms alone cannot provide operational security and legal compliance.md]]
|
||||
- [[futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements.md]]
|
||||
- MetaDAO is the futarchy launchpad on Solana where projects raise capital through unruggable ICOs governed by conditional markets creating the first platform for ownership coins at scale.md
|
||||
- futarchy-governed DAOs converge on traditional corporate governance scaffolding for treasury operations because market mechanisms alone cannot provide operational security and legal compliance.md
|
||||
- futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements.md
|
||||
|
||||
Topics:
|
||||
- [[internet-finance/_map]]
|
||||
- [[mechanisms/_map]]
|
||||
- internet-finance/_map
|
||||
- mechanisms/_map
|
||||
|
|
@ -41,11 +41,17 @@ This structure is untested in practice. Key risks:
|
|||
- 18-month cliff may be too long for early-stage projects with high burn rates, creating team retention risk
|
||||
- No precedent for whether TWAP-based triggers actually prevent manipulation in low-liquidity token markets
|
||||
|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*Source: [[2026-01-01-futardio-launch-mycorealms]] | Added: 2026-03-16*
|
||||
|
||||
MycoRealms allocates 3M tokens (18.9% of supply) to team with zero circulating at launch, unlocking only at 2x/4x/8x/16x/32x ICO price via 3-month TWAP after 18-month cliff. Physical infrastructure project demonstrates mechanism applies beyond pure digital contexts.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
- [[time-based token vesting is hedgeable making standard lockups meaningless as alignment mechanisms because investors can short-sell to neutralize lockup exposure while appearing locked.md]]
|
||||
- [[dynamic performance-based token minting replaces fixed emission schedules by tying new token creation to measurable outcomes creating algorithmic meritocracy in token distribution.md]]
|
||||
- time-based token vesting is hedgeable making standard lockups meaningless as alignment mechanisms because investors can short-sell to neutralize lockup exposure while appearing locked.md
|
||||
- dynamic performance-based token minting replaces fixed emission schedules by tying new token creation to measurable outcomes creating algorithmic meritocracy in token distribution.md
|
||||
|
||||
Topics:
|
||||
- [[internet-finance/_map]]
|
||||
- internet-finance/_map
|
||||
|
|
@ -28,6 +28,12 @@ The acquisition strategy itself is notable as "regulation via acquisition" — b
|
|||
|
||||
The federal-state jurisdictional conflict is unresolved. If states successfully assert gambling jurisdiction over prediction markets, the CFTC licensing may prove insufficient for nationwide operations. This could force prediction markets into the same fragmented regulatory landscape that online poker faced.
|
||||
|
||||
|
||||
### Additional Evidence (challenge)
|
||||
*Source: [[2026-01-00-nevada-polymarket-lawsuit-prediction-markets]] | Added: 2026-03-16*
|
||||
|
||||
Nevada Gaming Control Board's January 2026 lawsuit against Polymarket directly challenges the CFTC regulatory legitimacy established through QCX acquisition. Nevada court found NGCB 'reasonably likely to prevail on the merits' and rejected Polymarket's exclusive federal jurisdiction argument, indicating state courts do not accept CFTC authority as dispositive. Massachusetts issued similar preliminary injunction against Kalshi. This represents coordinated state pushback against federal preemption.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -32,6 +32,12 @@ Teleo's research processing pipeline exhibits strong non-stationarity: research
|
|||
|
||||
Dynamic worker scaling based on current queue depth and estimated arrival rate (with peakedness adjustment) is the theoretically correct solution.
|
||||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2026-02-09-oneuptime-hpa-object-metrics-queue-scaling]] | Added: 2026-03-16*
|
||||
|
||||
Kubernetes HPA with object metrics demonstrates production implementation of dynamic worker allocation based on queue state. The pattern uses ConfigMaps or custom resources to expose queue depth, which HPA monitors to scale worker replicas. Multi-metric HPA evaluates several metrics simultaneously and scales to whichever requires the most replicas, handling complex workload patterns. KEDA extends this with 70+ built-in scalers for different queue types (RabbitMQ, Kafka, SQS, etc.) and scale-to-zero capability, proving dynamic staffing is production-ready at scale.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -36,6 +36,12 @@ The model assumes consistent service demand (6 dApp reviews per month) and stabl
|
|||
|
||||
The proposal passed MetaDAO governance but represents a single implementation without long-term performance data. The 80% sell-off assumption is stated as "assumption" in the proposal itself, not empirically validated. No mechanism prevents citizens from selling more than 80% if they face liquidity pressure.
|
||||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2024-07-18-futardio-proposal-enhancing-the-deans-list-dao-economic-model]] | Added: 2026-03-16*
|
||||
|
||||
The Dean's List DAO proposal demonstrates buyback mechanics with specific numbers: charging clients 2500 USDC per review, taking 20% DAO tax in USDC (500), using remaining 2000 USDC to purchase $DEAN tokens, then distributing purchased tokens to DAO citizens as payment. With 80% of recipients selling, the model claims net positive price action because buys exceed sells by 20%. Example shows 400 USDC daily purchases creating 80% increase in trading volume relative to baseline 500 USDC/day, with estimated 5.33% FDV increase from $337,074 to $355,028 monthly.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -29,6 +29,18 @@ If this pattern holds, it would support [[the space launch cost trajectory is a
|
|||
|
||||
This is a snapshot of March 2026 program status, not a permanent structural condition. Europe could accelerate development, form partnerships with US or Chinese programs, or pursue alternative strategies (e.g., focus on specific niches rather than competing in heavy lift). The claim that reusability "creates" a duopoly is speculative—it may instead reveal pre-existing structural advantages (capital, talent, manufacturing base) that the US and China already possessed. The evidence shows a gap exists, not that reusability necessarily creates one.
|
||||
|
||||
|
||||
### Additional Evidence (challenge)
|
||||
*Source: [[2026-02-11-china-long-march-10-sea-landing]] | Added: 2026-03-16*
|
||||
|
||||
China demonstrated controlled first-stage sea landing on February 11, 2026, with Long March 10B reusable variant launching April 5, 2026. The reusability gap closed in ~2 years, not the 5-8 years previously estimated. This suggests state-directed industrial policy accelerates technology development faster than market-driven timelines predicted.
|
||||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2026-02-11-china-long-march-10-sea-landing]] | Added: 2026-03-16*
|
||||
|
||||
China's recovery approach uses tethered wire/cable-net systems fundamentally different from SpaceX's tower catch or ship landing, demonstrating independent innovation trajectory rather than pure technology copying. The 25,000-ton 'Ling Hang Zhe' recovery ship with specialized cable gantry represents a distinct engineering solution optimized for sea-based operations.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -25,6 +25,12 @@ This pattern — technological capability outpacing institutional design — rec
|
|||
|
||||
The governance gap framing assumes governance must precede activity, but historically many governance regimes emerged from practice rather than design — maritime law, internet governance, and aviation regulation all evolved alongside the activities they governed. Counter: the speed differential is qualitatively different for space. Maritime law had centuries to evolve; internet governance emerged over decades but still lags (no global data governance framework exists). Space combines the speed of technology advancement with the lethality of the environment — governance failure in space doesn't produce market inefficiency, it produces Kessler syndrome or lethal infrastructure conflicts. The design window is compressed by the exponential pace of capability development.
|
||||
|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*Source: [[2026-03-00-artemis-program-restructuring]] | Added: 2026-03-16*
|
||||
|
||||
Artemis III descoped from lunar landing to LEO-only test, pushing human lunar landing to 2028 (56 years after Apollo 17). This represents compounding institutional delays while commercial capabilities (SpaceX Starship/HLS) advance on faster timelines, providing concrete evidence of the widening execution gap.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -26,6 +26,12 @@ The five layers form a chain-link system: propellant depots without ISRU are une
|
|||
|
||||
The investment framework this implies: position along the dependency chain that builds toward this attractor state. [[power is the binding constraint on all space operations because every capability from ISRU to manufacturing to life support is power-limited]], making power infrastructure foundational. Water extraction is enabling. Propellant depots are connective. Manufacturing platforms are the value-capture layer.
|
||||
|
||||
|
||||
### Additional Evidence (challenge)
|
||||
*Source: [[2026-03-00-artemis-program-restructuring]] | Added: 2026-03-16*
|
||||
|
||||
Artemis restructuring pushes first lunar landing to 2028 and reveals that lunar ISRU deployment is blocked by insufficient resource knowledge despite technology being at TRL 5-6. NASA states 'a resilient resource exploration campaign is needed to understand and map lunar water before commercial extraction.' This adds a critical path dependency (resource prospecting) that precedes ISRU infrastructure deployment.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -51,6 +51,9 @@ MetaDAO's token launch platform. Implements "unruggable ICOs" — permissionless
|
|||
- **2024-06-14** — [[futardio-fund-rug-bounty-program]] passed: Approved $5K USDC funding for RugBounty.xyz platform development to incentivize community recovery from rug pulls
|
||||
- **2024-08-28** — MetaDAO proposal to develop futardio as memecoin launchpad with futarchy governance failed. Proposal would have allocated $100k grant over 6 months to development team. Key features: percentage of each new token supply allocated to futarchy DAO, points-to-token conversion within 180 days, revenue distribution to $FUTA holders, immutable deployment on IPFS/Arweave. Proposal rejected by market, suggesting reputational risks outweighed adoption benefits.
|
||||
- **2025-11-14** — Solomon launch: $8M raised (12.9x oversubscribed, $102.9M committed) for composable yield-bearing stablecoin
|
||||
- **2026-02-03** — Hurupay fundraise launched targeting $3M, closed Feb 7 at $2M (67% of target) in refunding status
|
||||
- **2024-08-28** — MetaDAO futardio proposal created, proposing memecoin launchpad with futarchy governance for each token, points-to-token bootstrapping mechanism, and $100k development grant
|
||||
- **2024-09-01** — Proposal failed, MetaDAO decided not to develop futardio platform
|
||||
## Competitive Position
|
||||
- **Unique mechanism**: Only launch platform with futarchy-governed accountability and treasury return guarantees
|
||||
- **vs pump.fun**: pump.fun is memecoin launch (zero accountability, pure speculation). Futardio is ownership coin launch (futarchy governance, treasury enforcement). Different categories despite both being "launch platforms."
|
||||
|
|
|
|||
|
|
@ -43,6 +43,7 @@ CFTC-designated contract market for event-based trading. USD-denominated, KYC-re
|
|||
|
||||
- **2026-01-XX** — Targeting $20B valuation alongside Polymarket as prediction market duopoly emerges
|
||||
- **2025-XX-XX** — Positioned for retail adoption through traditional broker integration with native CFTC approval
|
||||
- **2026-02-19** — Tennessee federal court ruled in Kalshi's favor, finding sports contracts are 'swaps' under CEA exclusive jurisdiction and conflict preemption applies. Circuit split emerges as Nevada, Massachusetts, and Maryland courts rule against federal preemption.
|
||||
## Competitive Position
|
||||
- **Regulation-first**: Only CFTC-designated prediction market exchange. Institutional credibility.
|
||||
- **vs Polymarket**: Different market — Kalshi targets mainstream/institutional users who won't touch crypto. Polymarket targets crypto-native users who want permissionless market creation. Both grew massively post-2024 election.
|
||||
|
|
|
|||
|
|
@ -65,6 +65,7 @@ The futarchy governance protocol on Solana. Implements decision markets through
|
|||
- **2024-01-24** — Proposed AMM program to replace CLOB markets, addressing liquidity fragmentation and state rent costs (Proposal CF9QUBS251FnNGZHLJ4WbB2CVRi5BtqJbCqMi47NX1PG)
|
||||
- **2024-01-29** — AMM proposal passed with 400 META on approval and 800 META on completion budget
|
||||
- **2024-08-31** — Passed proposal to enter services agreement with Organization Technology LLC, creating US entity vehicle for paying contributors with $1.378M annualized burn rate. Entity owns no IP (all owned by MetaDAO LLC) and cannot encumber MetaDAO LLC. Agreement cancellable with 30-day notice or immediately for material breach.
|
||||
- **2024-05-30** — Drift protocol used MetaDAO activity data (5+ interactions over 30+ days) to identify 32 qualified participants for retroactive DRIFT token rewards, demonstrating cross-protocol futarchy adoption
|
||||
## Key Decisions
|
||||
| Date | Proposal | Proposer | Category | Outcome |
|
||||
|------|----------|----------|----------|---------|
|
||||
|
|
|
|||
|
|
@ -0,0 +1,26 @@
|
|||
{
|
||||
"rejected_claims": [
|
||||
{
|
||||
"filename": "m-m-c-queue-worker-scaling-exhibits-diminishing-returns-because-marginal-wait-time-reduction-decreases-as-server-count-increases.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
}
|
||||
],
|
||||
"validation_stats": {
|
||||
"total": 1,
|
||||
"kept": 0,
|
||||
"fixed": 3,
|
||||
"rejected": 1,
|
||||
"fixes_applied": [
|
||||
"m-m-c-queue-worker-scaling-exhibits-diminishing-returns-because-marginal-wait-time-reduction-decreases-as-server-count-increases.md:set_created:2026-03-16",
|
||||
"m-m-c-queue-worker-scaling-exhibits-diminishing-returns-because-marginal-wait-time-reduction-decreases-as-server-count-increases.md:stripped_wiki_link:multi-server-queueing-systems-exhibit-economies-of-scale-bec",
|
||||
"m-m-c-queue-worker-scaling-exhibits-diminishing-returns-because-marginal-wait-time-reduction-decreases-as-server-count-increases.md:stripped_wiki_link:square-root-staffing-principle-achieves-economies-of-scale-i"
|
||||
],
|
||||
"rejections": [
|
||||
"m-m-c-queue-worker-scaling-exhibits-diminishing-returns-because-marginal-wait-time-reduction-decreases-as-server-count-increases.md:missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
"model": "anthropic/claude-sonnet-4.5",
|
||||
"date": "2026-03-16"
|
||||
}
|
||||
|
|
@ -0,0 +1,43 @@
|
|||
{
|
||||
"rejected_claims": [
|
||||
{
|
||||
"filename": "state-gaming-classification-threatens-futarchy-viability-through-50-state-licensing-requirements.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
{
|
||||
"filename": "sports-prediction-markets-may-face-different-regulatory-treatment-than-governance-markets.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
{
|
||||
"filename": "cftc-rulemaking-on-prediction-markets-could-resolve-state-federal-jurisdiction-crisis.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
}
|
||||
],
|
||||
"validation_stats": {
|
||||
"total": 3,
|
||||
"kept": 0,
|
||||
"fixed": 6,
|
||||
"rejected": 3,
|
||||
"fixes_applied": [
|
||||
"state-gaming-classification-threatens-futarchy-viability-through-50-state-licensing-requirements.md:set_created:2026-03-16",
|
||||
"state-gaming-classification-threatens-futarchy-viability-through-50-state-licensing-requirements.md:stripped_wiki_link:futarchy-adoption-faces-friction-from-token-price-psychology",
|
||||
"state-gaming-classification-threatens-futarchy-viability-through-50-state-licensing-requirements.md:stripped_wiki_link:futarchy-governed-entities-are-structurally-not-securities-b",
|
||||
"sports-prediction-markets-may-face-different-regulatory-treatment-than-governance-markets.md:set_created:2026-03-16",
|
||||
"sports-prediction-markets-may-face-different-regulatory-treatment-than-governance-markets.md:stripped_wiki_link:futarchy-governed-entities-are-structurally-not-securities-b",
|
||||
"cftc-rulemaking-on-prediction-markets-could-resolve-state-federal-jurisdiction-crisis.md:set_created:2026-03-16"
|
||||
],
|
||||
"rejections": [
|
||||
"state-gaming-classification-threatens-futarchy-viability-through-50-state-licensing-requirements.md:missing_attribution_extractor",
|
||||
"sports-prediction-markets-may-face-different-regulatory-treatment-than-governance-markets.md:missing_attribution_extractor",
|
||||
"cftc-rulemaking-on-prediction-markets-could-resolve-state-federal-jurisdiction-crisis.md:missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
"model": "anthropic/claude-sonnet-4.5",
|
||||
"date": "2026-03-16"
|
||||
}
|
||||
|
|
@ -0,0 +1,36 @@
|
|||
{
|
||||
"rejected_claims": [
|
||||
{
|
||||
"filename": "verified-launch-trust-layer-solves-permissionless-curation-tradeoff-through-reputation-routing.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
{
|
||||
"filename": "revenue-cadence-forces-permissionless-transition-through-feast-or-famine-dynamics.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
}
|
||||
],
|
||||
"validation_stats": {
|
||||
"total": 2,
|
||||
"kept": 0,
|
||||
"fixed": 6,
|
||||
"rejected": 2,
|
||||
"fixes_applied": [
|
||||
"verified-launch-trust-layer-solves-permissionless-curation-tradeoff-through-reputation-routing.md:set_created:2026-03-16",
|
||||
"verified-launch-trust-layer-solves-permissionless-curation-tradeoff-through-reputation-routing.md:stripped_wiki_link:futarchy-governed-permissionless-launches-require-brand-sepa",
|
||||
"verified-launch-trust-layer-solves-permissionless-curation-tradeoff-through-reputation-routing.md:stripped_wiki_link:cryptos-primary-use-case-is-capital-formation-not-payments-o",
|
||||
"revenue-cadence-forces-permissionless-transition-through-feast-or-famine-dynamics.md:set_created:2026-03-16",
|
||||
"revenue-cadence-forces-permissionless-transition-through-feast-or-famine-dynamics.md:stripped_wiki_link:MetaDAO-is-the-futarchy-launchpad-on-Solana-where-projects-r",
|
||||
"revenue-cadence-forces-permissionless-transition-through-feast-or-famine-dynamics.md:stripped_wiki_link:internet-capital-markets-compress-fundraising-from-months-to"
|
||||
],
|
||||
"rejections": [
|
||||
"verified-launch-trust-layer-solves-permissionless-curation-tradeoff-through-reputation-routing.md:missing_attribution_extractor",
|
||||
"revenue-cadence-forces-permissionless-transition-through-feast-or-famine-dynamics.md:missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
"model": "anthropic/claude-sonnet-4.5",
|
||||
"date": "2026-03-16"
|
||||
}
|
||||
|
|
@ -0,0 +1,24 @@
|
|||
{
|
||||
"rejected_claims": [
|
||||
{
|
||||
"filename": "cms-2027-reforms-create-first-sustained-ma-compression-since-bba-1997-through-convergence-of-chart-review-exclusion-v28-completion-and-flat-rates.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
}
|
||||
],
|
||||
"validation_stats": {
|
||||
"total": 1,
|
||||
"kept": 0,
|
||||
"fixed": 1,
|
||||
"rejected": 1,
|
||||
"fixes_applied": [
|
||||
"cms-2027-reforms-create-first-sustained-ma-compression-since-bba-1997-through-convergence-of-chart-review-exclusion-v28-completion-and-flat-rates.md:set_created:2026-03-16"
|
||||
],
|
||||
"rejections": [
|
||||
"cms-2027-reforms-create-first-sustained-ma-compression-since-bba-1997-through-convergence-of-chart-review-exclusion-v28-completion-and-flat-rates.md:missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
"model": "anthropic/claude-sonnet-4.5",
|
||||
"date": "2026-03-16"
|
||||
}
|
||||
|
|
@ -0,0 +1,35 @@
|
|||
{
|
||||
"rejected_claims": [
|
||||
{
|
||||
"filename": "mainstream-first-acquisition-funnels-outperform-crypto-first-funnels-for-community-owned-IP.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
{
|
||||
"filename": "cultural-penetration-metrics-can-exceed-revenue-by-orders-of-magnitude-when-virality-precedes-monetization.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
}
|
||||
],
|
||||
"validation_stats": {
|
||||
"total": 2,
|
||||
"kept": 0,
|
||||
"fixed": 5,
|
||||
"rejected": 2,
|
||||
"fixes_applied": [
|
||||
"mainstream-first-acquisition-funnels-outperform-crypto-first-funnels-for-community-owned-IP.md:set_created:2026-03-16",
|
||||
"mainstream-first-acquisition-funnels-outperform-crypto-first-funnels-for-community-owned-IP.md:stripped_wiki_link:progressive-validation-through-community-building-reduces-de",
|
||||
"mainstream-first-acquisition-funnels-outperform-crypto-first-funnels-for-community-owned-IP.md:stripped_wiki_link:community-ownership-accelerates-growth-through-aligned-evang",
|
||||
"cultural-penetration-metrics-can-exceed-revenue-by-orders-of-magnitude-when-virality-precedes-monetization.md:set_created:2026-03-16",
|
||||
"cultural-penetration-metrics-can-exceed-revenue-by-orders-of-magnitude-when-virality-precedes-monetization.md:stripped_wiki_link:information-cascades-create-power-law-distributions-in-cultu"
|
||||
],
|
||||
"rejections": [
|
||||
"mainstream-first-acquisition-funnels-outperform-crypto-first-funnels-for-community-owned-IP.md:missing_attribution_extractor",
|
||||
"cultural-penetration-metrics-can-exceed-revenue-by-orders-of-magnitude-when-virality-precedes-monetization.md:missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
"model": "anthropic/claude-sonnet-4.5",
|
||||
"date": "2026-03-16"
|
||||
}
|
||||
|
|
@ -0,0 +1,26 @@
|
|||
{
|
||||
"rejected_claims": [
|
||||
{
|
||||
"filename": "ai-video-generation-adoption-is-demand-constrained-not-capability-constrained-as-evidenced-by-low-retention-despite-quality-threshold-crossing.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
}
|
||||
],
|
||||
"validation_stats": {
|
||||
"total": 1,
|
||||
"kept": 0,
|
||||
"fixed": 3,
|
||||
"rejected": 1,
|
||||
"fixes_applied": [
|
||||
"ai-video-generation-adoption-is-demand-constrained-not-capability-constrained-as-evidenced-by-low-retention-despite-quality-threshold-crossing.md:set_created:2026-03-16",
|
||||
"ai-video-generation-adoption-is-demand-constrained-not-capability-constrained-as-evidenced-by-low-retention-despite-quality-threshold-crossing.md:stripped_wiki_link:GenAI adoption in entertainment will be gated by consumer ac",
|
||||
"ai-video-generation-adoption-is-demand-constrained-not-capability-constrained-as-evidenced-by-low-retention-despite-quality-threshold-crossing.md:stripped_wiki_link:consumer definition of quality is fluid and revealed through"
|
||||
],
|
||||
"rejections": [
|
||||
"ai-video-generation-adoption-is-demand-constrained-not-capability-constrained-as-evidenced-by-low-retention-despite-quality-threshold-crossing.md:missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
"model": "anthropic/claude-sonnet-4.5",
|
||||
"date": "2026-03-16"
|
||||
}
|
||||
|
|
@ -0,0 +1,24 @@
|
|||
{
|
||||
"rejected_claims": [
|
||||
{
|
||||
"filename": "queue-depth-based-scaling-outperforms-cpu-based-scaling-for-worker-style-workloads-because-pending-work-is-a-leading-indicator-while-resource-utilization-is-lagging.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
}
|
||||
],
|
||||
"validation_stats": {
|
||||
"total": 1,
|
||||
"kept": 0,
|
||||
"fixed": 1,
|
||||
"rejected": 1,
|
||||
"fixes_applied": [
|
||||
"queue-depth-based-scaling-outperforms-cpu-based-scaling-for-worker-style-workloads-because-pending-work-is-a-leading-indicator-while-resource-utilization-is-lagging.md:set_created:2026-03-16"
|
||||
],
|
||||
"rejections": [
|
||||
"queue-depth-based-scaling-outperforms-cpu-based-scaling-for-worker-style-workloads-because-pending-work-is-a-leading-indicator-while-resource-utilization-is-lagging.md:missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
"model": "anthropic/claude-sonnet-4.5",
|
||||
"date": "2026-03-16"
|
||||
}
|
||||
|
|
@ -0,0 +1,32 @@
|
|||
{
|
||||
"rejected_claims": [
|
||||
{
|
||||
"filename": "lunar-isru-deployment-blocked-by-resource-knowledge-gap-not-technology-readiness.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
{
|
||||
"filename": "institutional-space-programs-slip-timelines-while-commercial-capabilities-accelerate-creating-widening-execution-gap.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
}
|
||||
],
|
||||
"validation_stats": {
|
||||
"total": 2,
|
||||
"kept": 0,
|
||||
"fixed": 2,
|
||||
"rejected": 2,
|
||||
"fixes_applied": [
|
||||
"lunar-isru-deployment-blocked-by-resource-knowledge-gap-not-technology-readiness.md:set_created:2026-03-16",
|
||||
"institutional-space-programs-slip-timelines-while-commercial-capabilities-accelerate-creating-widening-execution-gap.md:set_created:2026-03-16"
|
||||
],
|
||||
"rejections": [
|
||||
"lunar-isru-deployment-blocked-by-resource-knowledge-gap-not-technology-readiness.md:missing_attribution_extractor",
|
||||
"institutional-space-programs-slip-timelines-while-commercial-capabilities-accelerate-creating-widening-execution-gap.md:missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
"model": "anthropic/claude-sonnet-4.5",
|
||||
"date": "2026-03-16"
|
||||
}
|
||||
|
|
@ -0,0 +1,27 @@
|
|||
{
|
||||
"rejected_claims": [
|
||||
{
|
||||
"filename": "curated-launchpads-capture-disproportionate-capital-despite-lower-volume-because-quality-filtering-concentrates-investor-demand.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
}
|
||||
],
|
||||
"validation_stats": {
|
||||
"total": 1,
|
||||
"kept": 0,
|
||||
"fixed": 4,
|
||||
"rejected": 1,
|
||||
"fixes_applied": [
|
||||
"curated-launchpads-capture-disproportionate-capital-despite-lower-volume-because-quality-filtering-concentrates-investor-demand.md:set_created:2026-03-16",
|
||||
"curated-launchpads-capture-disproportionate-capital-despite-lower-volume-because-quality-filtering-concentrates-investor-demand.md:stripped_wiki_link:futarchy-governed permissionless launches require brand sepa",
|
||||
"curated-launchpads-capture-disproportionate-capital-despite-lower-volume-because-quality-filtering-concentrates-investor-demand.md:stripped_wiki_link:ownership coins primary value proposition is investor protec",
|
||||
"curated-launchpads-capture-disproportionate-capital-despite-lower-volume-because-quality-filtering-concentrates-investor-demand.md:stripped_wiki_link:cryptos primary use case is capital formation not payments o"
|
||||
],
|
||||
"rejections": [
|
||||
"curated-launchpads-capture-disproportionate-capital-despite-lower-volume-because-quality-filtering-concentrates-investor-demand.md:missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
"model": "anthropic/claude-sonnet-4.5",
|
||||
"date": "2026-03-16"
|
||||
}
|
||||
|
|
@ -0,0 +1,34 @@
|
|||
{
|
||||
"rejected_claims": [
|
||||
{
|
||||
"filename": "owned-revenue-creators-earn-189-percent-more-than-platform-dependent-creators.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
{
|
||||
"filename": "platform-dependency-creates-quantifiable-income-vulnerability-with-42-percent-of-youtube-creators-losing-50k-plus-if-access-disappears.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
}
|
||||
],
|
||||
"validation_stats": {
|
||||
"total": 2,
|
||||
"kept": 0,
|
||||
"fixed": 4,
|
||||
"rejected": 2,
|
||||
"fixes_applied": [
|
||||
"owned-revenue-creators-earn-189-percent-more-than-platform-dependent-creators.md:set_created:2026-03-16",
|
||||
"owned-revenue-creators-earn-189-percent-more-than-platform-dependent-creators.md:stripped_wiki_link:value flows to whichever resources are scarce and disruption",
|
||||
"platform-dependency-creates-quantifiable-income-vulnerability-with-42-percent-of-youtube-creators-losing-50k-plus-if-access-disappears.md:set_created:2026-03-16",
|
||||
"platform-dependency-creates-quantifiable-income-vulnerability-with-42-percent-of-youtube-creators-losing-50k-plus-if-access-disappears.md:stripped_wiki_link:value flows to whichever resources are scarce and disruption"
|
||||
],
|
||||
"rejections": [
|
||||
"owned-revenue-creators-earn-189-percent-more-than-platform-dependent-creators.md:missing_attribution_extractor",
|
||||
"platform-dependency-creates-quantifiable-income-vulnerability-with-42-percent-of-youtube-creators-losing-50k-plus-if-access-disappears.md:missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
"model": "anthropic/claude-sonnet-4.5",
|
||||
"date": "2026-03-16"
|
||||
}
|
||||
|
|
@ -0,0 +1,36 @@
|
|||
{
|
||||
"rejected_claims": [
|
||||
{
|
||||
"filename": "phygital-distribution-creates-negative-customer-acquisition-cost-when-physical-products-function-as-onboarding-tools-for-digital-ecosystems.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
{
|
||||
"filename": "community-brand-value-can-decouple-from-token-value-when-ownership-operates-through-cultural-participation-rather-than-financial-instruments.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
}
|
||||
],
|
||||
"validation_stats": {
|
||||
"total": 2,
|
||||
"kept": 0,
|
||||
"fixed": 6,
|
||||
"rejected": 2,
|
||||
"fixes_applied": [
|
||||
"phygital-distribution-creates-negative-customer-acquisition-cost-when-physical-products-function-as-onboarding-tools-for-digital-ecosystems.md:set_created:2026-03-16",
|
||||
"phygital-distribution-creates-negative-customer-acquisition-cost-when-physical-products-function-as-onboarding-tools-for-digital-ecosystems.md:stripped_wiki_link:giving-away-the-commoditized-layer-to-capture-value-on-the-s",
|
||||
"phygital-distribution-creates-negative-customer-acquisition-cost-when-physical-products-function-as-onboarding-tools-for-digital-ecosystems.md:stripped_wiki_link:the-media-attractor-state-is-community-filtered-IP-with-AI-c",
|
||||
"community-brand-value-can-decouple-from-token-value-when-ownership-operates-through-cultural-participation-rather-than-financial-instruments.md:set_created:2026-03-16",
|
||||
"community-brand-value-can-decouple-from-token-value-when-ownership-operates-through-cultural-participation-rather-than-financial-instruments.md:stripped_wiki_link:community-ownership-accelerates-growth-through-aligned-evang",
|
||||
"community-brand-value-can-decouple-from-token-value-when-ownership-operates-through-cultural-participation-rather-than-financial-instruments.md:stripped_wiki_link:ownership-alignment-turns-network-effects-from-extractive-to"
|
||||
],
|
||||
"rejections": [
|
||||
"phygital-distribution-creates-negative-customer-acquisition-cost-when-physical-products-function-as-onboarding-tools-for-digital-ecosystems.md:missing_attribution_extractor",
|
||||
"community-brand-value-can-decouple-from-token-value-when-ownership-operates-through-cultural-participation-rather-than-financial-instruments.md:missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
"model": "anthropic/claude-sonnet-4.5",
|
||||
"date": "2026-03-16"
|
||||
}
|
||||
|
|
@ -7,9 +7,13 @@ date: 2021-02-01
|
|||
domain: health
|
||||
secondary_domains: []
|
||||
format: report
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: medium
|
||||
tags: [home-health, hospital-at-home, care-delivery, facility-shift, mckinsey, senior-care]
|
||||
processed_by: vida
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["home-based-care-could-capture-265-billion-in-medicare-spending-by-2025-through-hospital-at-home-remote-monitoring-and-post-acute-shift.md", "rpm-technology-stack-enables-facility-to-home-care-migration-through-ai-middleware-that-converts-continuous-data-into-clinical-utility.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -54,3 +58,16 @@ tags: [home-health, hospital-at-home, care-delivery, facility-shift, mckinsey, s
|
|||
PRIMARY CONNECTION: [[continuous health monitoring is converging on a multi-layer sensor stack of ambient wearables periodic patches and environmental sensors processed through AI middleware]]
|
||||
WHY ARCHIVED: Connects the care delivery transition to the technology layer the KB already describes. Grounds the atoms-to-bits thesis in senior care economics.
|
||||
EXTRACTION HINT: The technology-enabling-care-site-shift narrative is more extractable than the dollar figure alone.
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Up to $265 billion in Medicare care services (25% of total cost of care) could shift from facilities to home by 2025
|
||||
- Current home-based care serves approximately $65B, requiring 3-4x capacity increase
|
||||
- Johns Hopkins hospital-at-home program achieves 19-30% cost savings vs. in-hospital care
|
||||
- Home care for heart failure patients shows 52% lower costs in systematic review
|
||||
- 16% of 65+ respondents more likely to receive home health post-pandemic (McKinsey Consumer Health Insights, June 2021)
|
||||
- 94% of Medicare beneficiaries prefer home-based post-acute care
|
||||
- RPM market projected to grow from $29B to $138B (2024-2033) at 19% CAGR
|
||||
- AI in RPM market projected to grow from $2B to $8.4B (2024-2030) at 27.5% CAGR
|
||||
- Home healthcare is fastest-growing RPM end-use segment at 25.3% CAGR
|
||||
- 71M Americans expected to use RPM by 2025
|
||||
|
|
|
|||
|
|
@ -6,9 +6,13 @@ url: "https://www.futard.io/proposal/5c2XSWQ9rVPge2Umoz1yenZcAwRaQS5bC4i4w87B1WU
|
|||
date: 2024-07-18
|
||||
domain: internet-finance
|
||||
format: data
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
tags: [futardio, metadao, futarchy, solana, governance]
|
||||
event_type: proposal
|
||||
processed_by: rio
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["treasury-buyback-model-creates-constant-buy-pressure-by-converting-revenue-to-governance-token-purchases.md", "futarchy-proposals-with-favorable-economics-can-fail-due-to-participation-friction-not-market-disagreement.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Proposal Details
|
||||
|
|
@ -146,3 +150,13 @@ This way we create volume (3600 \$USDC volume) and the price action is always po
|
|||
- Autocrat version: 0.3
|
||||
- Completed: 2024-07-22
|
||||
- Ended: 2024-07-22
|
||||
|
||||
|
||||
## Key Facts
|
||||
- The Dean's List DAO had FDV of $337,074 and daily trading volume of $500 as of July 2024
|
||||
- The Dean's List DAO charges 2500 USDC per dApp review
|
||||
- The Dean's List DAO proposal assumed 6 dApp reviews per month (15,000 USDC monthly revenue)
|
||||
- The Dean's List DAO circulating supply: 100,000,000 $DEAN tokens
|
||||
- The Dean's List DAO $DEAN price was $0.00337 at proposal time
|
||||
- The Dean's List DAO proposal set 20% DAO tax rate with remainder used for token buybacks
|
||||
- The Dean's List DAO proposal estimated 80% of paid DAO citizens would sell their $DEAN tokens
|
||||
|
|
|
|||
|
|
@ -11,7 +11,7 @@ tags: [futardio, metadao, futarchy, solana, governance]
|
|||
event_type: proposal
|
||||
processed_by: rio
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["futarchy-governed-memecoin-launchpads-face-reputational-risk-tradeoff-between-adoption-and-credibility.md", "memecoin-governance-is-ideal-futarchy-use-case-because-single-objective-function-eliminates-long-term-tradeoff-ambiguity.md"]
|
||||
enrichments_applied: ["memecoin-governance-is-ideal-futarchy-use-case-because-single-objective-function-eliminates-long-term-tradeoff-ambiguity.md", "futarchy-governed-memecoin-launchpads-face-reputational-risk-tradeoff-between-adoption-and-credibility.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
|
|
@ -359,10 +359,11 @@ This would all be left to the discretion of the team building it, but they would
|
|||
|
||||
|
||||
## Key Facts
|
||||
- MetaDAO futardio proposal created 2024-08-28
|
||||
- Futardio proposal failed 2024-09-01
|
||||
- Proposed $100k grant over 6 months for development team
|
||||
- futardio proposal created 2024-08-28, failed 2024-09-01
|
||||
- Proposed $100k grant paid over 6 months to development team
|
||||
- Target launch window was Q3 2024
|
||||
- Proposal account: EmPUGgv2Utzuu2vgSu6GcTRAtJMox5vJeZKi95cBgfJo
|
||||
- Proposal number: 8 in MetaDAO
|
||||
- Nallok and Proph3t listed as supporters, not core team
|
||||
- Points-to-token conversion period capped at 180 days
|
||||
- Revenue distribution model: all platform revenue to vault claimable by FUTA holders
|
||||
- Token distribution: solely to points owners and MetaDAO
|
||||
- Planned immutable deployment on IPFS or Arweave
|
||||
- Nallok and Proph3t proposed as supporters/funders, not core team
|
||||
|
|
|
|||
|
|
@ -6,8 +6,12 @@ url: https://arxiv.org/abs/2504.18705
|
|||
date: 2025-04-25
|
||||
domain: internet-finance
|
||||
format: paper
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
tags: [pipeline-architecture, operations-research, queueing-theory, ci-cd, M/M/c-queue]
|
||||
processed_by: rio
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["littles-law-provides-minimum-worker-capacity-floor-for-pipeline-systems-but-requires-buffer-margin-for-variance.md", "multi-server-queueing-systems-exhibit-economies-of-scale-because-safety-margin-grows-sublinearly-with-system-size.md", "aimd-worker-scaling-requires-only-queue-state-observation-not-load-prediction-making-it-simpler-than-ml-based-autoscaling.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
# On Queueing Theory for Large-Scale CI/CD Pipelines Optimization
|
||||
|
|
@ -27,3 +31,10 @@ Academic paper applying classical M/M/c queueing theory to model CI/CD pipeline
|
|||
Direct parallel: our extract/eval pipeline IS a multi-stage CI/CD-like system. Sources arrive (Poisson-ish), workers process them (variable service times), and queue depth determines throughput. The M/M/c framework gives us closed-form solutions for expected wait times given worker counts.
|
||||
|
||||
Key insight: M/M/c queues show that adding workers has diminishing returns — the marginal improvement of worker N+1 decreases as N grows. This means there's an optimal worker count beyond which additional workers waste compute without meaningfully reducing queue wait times.
|
||||
|
||||
|
||||
## Key Facts
|
||||
- M/M/c queues model Poisson arrivals, exponential service times, and c servers
|
||||
- Classical queueing theory provides closed-form solutions for expected wait times in multi-server systems
|
||||
- The paper addresses bottleneck formation in high-volume shared infrastructure pipelines
|
||||
- Framework integrates theoretical queueing analysis with practical optimization for dynamic scaling
|
||||
|
|
|
|||
|
|
@ -7,9 +7,13 @@ date: 2025-05-01
|
|||
domain: health
|
||||
secondary_domains: []
|
||||
format: paper
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: medium
|
||||
tags: [glp-1, semaglutide, MASH, NASH, liver-disease, organ-protection]
|
||||
processed_by: vida
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["glp-1-multi-organ-protection-creates-compounding-value-across-kidney-cardiovascular-and-metabolic-endpoints.md", "GLP-1 receptor agonists are the largest therapeutic category launch in pharmaceutical history but their chronic use model makes the net cost impact inflationary through 2035.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -39,3 +43,10 @@ Phase 3 trial of semaglutide 2.4mg in patients with MASH and moderate or advance
|
|||
PRIMARY CONNECTION: [[GLP-1 receptor agonists are the largest therapeutic category launch in pharmaceutical history but their chronic use model makes the net cost impact inflationary through 2035]]
|
||||
WHY ARCHIVED: Third organ-protection pathway (after CV and kidney) strengthens the case that GLP-1s should be evaluated as multi-organ protective agents, not just weight loss drugs
|
||||
EXTRACTION HINT: The multi-organ protection thesis may justify reframing the existing GLP-1 claim from a weight-loss-economics frame to a metabolic-disease-prevention frame
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Semaglutide 2.4mg achieved 62.9% resolution of steatohepatitis without worsening fibrosis vs 34.3% placebo in Phase 3 trial
|
||||
- Resmetirom (Rezdiffra) was approved for MASH in March 2024, creating a dedicated MASH therapy competitor
|
||||
- MASH/NASH is projected to become the leading cause of liver transplantation
|
||||
- Meta-analysis shows GLP-1 RAs reduce risk of major CV events, clinically significant portal hypertension, and all-cause mortality in MASLD/MASH patients
|
||||
|
|
|
|||
|
|
@ -7,10 +7,14 @@ date: 2026-01-00
|
|||
domain: internet-finance
|
||||
secondary_domains: []
|
||||
format: article
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: high
|
||||
tags: [polymarket, prediction-markets, regulation, nevada, gaming, cftc, jurisdiction, futarchy]
|
||||
flagged_for_leo: ["Cross-domain regulatory implications — prediction market classification affects futarchy governance viability"]
|
||||
processed_by: rio
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["polymarket-achieved-us-regulatory-legitimacy-through-qcx-acquisition-establishing-prediction-markets-as-cftc-regulated-derivatives.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -46,11 +50,19 @@ flagged_for_leo: ["Cross-domain regulatory implications — prediction market cl
|
|||
**Why this matters:** This is the most existential regulatory risk for futarchy that the KB doesn't adequately capture. If prediction markets are classified as "gaming" subject to state regulation, futarchy governance faces 50-state licensing — practically impossible for a permissionless protocol. If CFTC exclusive jurisdiction holds, futarchy operates under one federal framework.
|
||||
**What surprised me:** 36 states filing amicus briefs against federal preemption. This is not a fringe position — it's a majority of states. The gaming industry lobby is clearly mobilized against prediction markets.
|
||||
**What I expected but didn't find:** Any specific analysis of how this affects non-sports prediction markets (like futarchy governance markets). The lawsuits focus on sports events — futarchy markets about protocol governance may be treated differently.
|
||||
**KB connections:** [[Futarchy is manipulation-resistant because attack attempts create profitable opportunities for defenders]] — irrelevant if the market is illegal in most states. [[Polymarket vindicated prediction markets over polling in 2024 US election]] — Polymarket's legal viability is now in question.
|
||||
**KB connections:** Futarchy is manipulation-resistant because attack attempts create profitable opportunities for defenders — irrelevant if the market is illegal in most states. [[Polymarket vindicated prediction markets over polling in 2024 US election]] — Polymarket's legal viability is now in question.
|
||||
**Extraction hints:** New claim about state-federal jurisdiction as existential risk for futarchy. Distinction between sports prediction markets and governance prediction markets.
|
||||
**Context:** This is the single most important regulatory development for the futarchy thesis since Polymarket's CFTC approval. The circuit split virtually guarantees eventual Supreme Court involvement.
|
||||
|
||||
## Curator Notes (structured handoff for extractor)
|
||||
PRIMARY CONNECTION: [[Futarchy is manipulation-resistant because attack attempts create profitable opportunities for defenders]]
|
||||
PRIMARY CONNECTION: Futarchy is manipulation-resistant because attack attempts create profitable opportunities for defenders
|
||||
WHY ARCHIVED: State-federal jurisdiction crisis is the highest-stakes regulatory question for futarchy. If states win, futarchy governance becomes impractical. The KB has no claim covering this risk. Also important: the sports vs governance market distinction — futarchy markets may be classified differently than sports betting markets.
|
||||
EXTRACTION HINT: Focus on (1) existential risk to futarchy from state gaming classification, (2) distinction between sports prediction and governance prediction markets, (3) CFTC rulemaking as potential resolution path.
|
||||
|
||||
|
||||
## Key Facts
|
||||
- 36 states filed amicus briefs opposing federal preemption of prediction market regulation
|
||||
- CFTC Chairman Selig published WSJ op-ed stating CFTC will assert enforcement authority
|
||||
- CFTC filed amicus brief in federal court asserting jurisdiction over prediction markets
|
||||
- Holland & Knight assessment: Supreme Court review may be necessary to resolve jurisdictional boundary
|
||||
- Circuit split emerging: Tennessee federal court sided with Kalshi, Nevada and Massachusetts courts sided with states
|
||||
|
|
|
|||
|
|
@ -6,9 +6,13 @@ url: "https://www.futard.io/launch/zwVfLheTvbXN5Vn2tZxTc8KaaVnLoBFgbZzskdFnPUb"
|
|||
date: 2026-01-01
|
||||
domain: internet-finance
|
||||
format: data
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
tags: [futardio, metadao, futarchy, solana]
|
||||
event_type: launch
|
||||
processed_by: rio
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["myco-realms-demonstrates-futarchy-governed-physical-infrastructure-through-125k-mushroom-farm-raise-with-market-controlled-capex-deployment.md", "performance-unlocked-team-tokens-with-price-multiple-triggers-and-twap-settlement-create-long-term-alignment-without-initial-dilution.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Launch Details
|
||||
|
|
@ -204,3 +208,17 @@ _Note: MycoRealms is not a financial product. $MYCO tokens represent governance
|
|||
- Production target: button mushrooms initially, scaling to 12 rooms, then medicinal mushrooms and export
|
||||
- Transparency: all invoices, expenses, harvest records, photos published to Arweave
|
||||
- Team unlock structure: 5 tranches at 2x/4x/8x/16x/32x ICO price via 3-month TWAP, 18-month minimum cliff
|
||||
|
||||
|
||||
## Key Facts
|
||||
- MycoRealms raising $125,000 USDC on Futardio with 72-hour window starting 2026-01-01
|
||||
- Token supply: 15.9M max (12.9M circulating at launch) — 10M ICO (62.9%), 2.9M liquidity (18.2%), 3M team (18.9%)
|
||||
- Liquidity provision: 2M tokens on Futarchy AMM, 900K tokens on Meteora pool, 20% of funds raised ($25K) paired with LP tokens
|
||||
- Monthly treasury allowance: $10,000 for operations
|
||||
- First CAPEX proposal: $50,000 for accommodation, 3 growing rooms, DG set, base construction
|
||||
- Team: crypticmeta (Solana/Bitcoin dev since 2018, OrdinalNovus $30M volume) + Ram (5+ years mushroom production)
|
||||
- Production plan: button mushrooms initially, scaling to 12 rooms, then medicinal mushrooms and export
|
||||
- Team spent 2025 interning at ICAR-DMR Solan, working in commercial farms, conducting market research, securing verbal commitments from 15+ wholesalers
|
||||
- All invoices, expenses, harvest records, photos published to Arweave
|
||||
- Full refunds if raise does not reach $125K within 72 hours
|
||||
- Token mint: 6hkcSr3fDdaxjDHSrEJjxK54wz8uvbSheTEYnMEmmeta
|
||||
|
|
|
|||
|
|
@ -6,9 +6,13 @@ url: "https://www.futard.io/launch/H5ng9t1tPRvGx8QoLFjjuXKdkUjicNXiADFdqB6t8ifJ"
|
|||
date: 2026-01-01
|
||||
domain: internet-finance
|
||||
format: data
|
||||
status: unprocessed
|
||||
status: null-result
|
||||
tags: [futardio, metadao, futarchy, solana]
|
||||
event_type: launch
|
||||
processed_by: rio
|
||||
processed_date: 2026-03-16
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
extraction_notes: "LLM returned 0 claims, 0 rejected by validator"
|
||||
---
|
||||
|
||||
## Launch Details
|
||||
|
|
@ -25,3 +29,10 @@ event_type: launch
|
|||
- Token: P2P (P2P)
|
||||
- Token mint: `P2PXup1ZvMpCDkJn3PQxtBYgxeCSfH39SFeurGSmeta`
|
||||
- Version: v0.7
|
||||
|
||||
|
||||
## Key Facts
|
||||
- P2P launched on Futard.io on 2026-01-01 with $6M funding target
|
||||
- P2P uses Autocrat v0.7 for futarchy governance
|
||||
- P2P token mint address is P2PXup1ZvMpCDkJn3PQxtBYgxeCSfH39SFeurGSmeta
|
||||
- Launch address is H5ng9t1tPRvGx8QoLFjjuXKdkUjicNXiADFdqB6t8ifJ
|
||||
|
|
|
|||
|
|
@ -6,10 +6,14 @@ url: https://blockworks.co/news/rangers-ico-metadao
|
|||
date: 2026-02-00
|
||||
domain: internet-finance
|
||||
secondary_domains: []
|
||||
format: article
|
||||
status: unprocessed
|
||||
format: report
|
||||
status: null-result
|
||||
priority: high
|
||||
tags: [metadao, permissionless, curation, launchpad, strategic-reset, mechanism-design]
|
||||
processed_by: rio
|
||||
processed_date: 2026-03-16
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
extraction_notes: "LLM returned 2 claims, 2 rejected by validator"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -53,3 +57,11 @@ MetaDAO has publicly debated whether to preserve curated launches or move to per
|
|||
PRIMARY CONNECTION: [[Teleocap makes capital formation permissionless by letting anyone propose investment terms while AI agents evaluate debate and futarchy determines funding]]
|
||||
WHY ARCHIVED: The curated → permissionless transition with verified trust layer is a novel mechanism design. Revenue cadence problem validates why permissionless is necessary. The "DAO of DAOs" vision directly relates to MetaDAO's platform thesis.
|
||||
EXTRACTION HINT: Focus on (1) verified launch as mechanism design (reputation trust + permissionless infrastructure), (2) revenue cadence as evidence for permissionless necessity, (3) "DAO of DAOs" vision as attractor state.
|
||||
|
||||
|
||||
## Key Facts
|
||||
- MetaDAO generated ~$2.4M total revenue since Futarchy AMM went live (Oct 10, 2025)
|
||||
- 60% of MetaDAO revenue from Futarchy AMM, 40% from Meteora LP position
|
||||
- MetaDAO revenue declined sharply since mid-December 2025 as ICO activity slowed
|
||||
- MetaDAO's verified launch system proposed as 'like blue tick on X'
|
||||
- Two key catalysts for MetaDAO: permissionless launches + Colosseum's STAMP
|
||||
|
|
|
|||
|
|
@ -7,9 +7,13 @@ date: 2026-02-01
|
|||
domain: health
|
||||
secondary_domains: []
|
||||
format: report
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: high
|
||||
tags: [cms, medicare-advantage, 2027-rates, chart-review-exclusion, star-ratings, V28, risk-adjustment]
|
||||
processed_by: vida
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["CMS 2027 chart review exclusion targets vertical integration profit arbitrage by removing upcoded diagnoses from MA risk scoring.md", "Devoted is the fastest-growing MA plan at 121 percent growth because purpose-built technology outperforms acquisition-based vertical integration during CMS tightening.md", "medicare-fiscal-pressure-forces-ma-reform-by-2030s-through-arithmetic-not-ideology.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -55,3 +59,13 @@ tags: [cms, medicare-advantage, 2027-rates, chart-review-exclusion, star-ratings
|
|||
PRIMARY CONNECTION: [[CMS 2027 chart review exclusion targets vertical integration profit arbitrage by removing upcoded diagnoses from MA risk scoring]]
|
||||
WHY ARCHIVED: Updates and deepens the existing KB claim with the full 2027 reform package context.
|
||||
EXTRACTION HINT: The parallel to BBA 1997 is the key analytical frame — will 2027 trigger plan exits or differentiation?
|
||||
|
||||
|
||||
## Key Facts
|
||||
- CMS 2027 chart review exclusion projects >$7 billion in savings
|
||||
- 2026 is the final year of V28 phase-in
|
||||
- 2027 V28 recalibration uses 2023 diagnoses and 2024 expenditures
|
||||
- CKD Stage 3B and 3 now have separate coefficients in V28 (previously constrained)
|
||||
- New depression screening and follow-up measure for 2027 measurement year, 2029 ratings
|
||||
- CMS exploring AI-based risk adjustment and alternative data sources for Star Ratings
|
||||
- CMS exploring timeline compression to reduce 2-year lag between measurement and payment
|
||||
|
|
|
|||
|
|
@ -7,10 +7,14 @@ date: 2026-02-01
|
|||
domain: entertainment
|
||||
secondary_domains: [internet-finance]
|
||||
format: report
|
||||
status: unprocessed
|
||||
status: null-result
|
||||
priority: high
|
||||
tags: [pudgy-penguins, community-owned-IP, tokenized-culture, mainstream-first, Web3-entertainment, IPO]
|
||||
flagged_for_rio: ["Token economics of community-owned IP at public market scale — PENGU tokenomics, Pengu ETF, IPO pathway"]
|
||||
processed_by: clay
|
||||
processed_date: 2026-03-16
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
extraction_notes: "LLM returned 2 claims, 2 rejected by validator"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -49,3 +53,20 @@ CoinDesk Research deep-dive on Pudgy Penguins as a blueprint for tokenized cultu
|
|||
PRIMARY CONNECTION: [[community ownership accelerates growth through aligned evangelism not passive holding]]
|
||||
WHY ARCHIVED: Most comprehensive data set on community-owned IP at scale; the mainstream-first strategy is a specific innovation worth capturing as a claim
|
||||
EXTRACTION HINT: Focus on the STRATEGY (mainstream-first funnel) and the TENSION (IPO vs community ownership). The numbers validate existing claims but the strategy and tension are novel.
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Pudgy Penguins generated $13M+ in physical retail revenue through Walmart, Target, and Walgreens
|
||||
- Pudgy Penguins sold 1M+ physical units
|
||||
- Pudgy Penguins achieved 123% CAGR through 2025
|
||||
- Pudgy Penguins has 28.5K GIPHY uploads generating 65.1B views
|
||||
- PENGU token was airdropped to 6M+ wallets in December 2024
|
||||
- PENGU has 7%+ of meme token CEX volume share
|
||||
- 710M PENGU tokens unlock monthly for 36 months starting December 2025
|
||||
- Pudgy Penguins FDV is ~$1.1B at ~22x revenue
|
||||
- Pudgy Penguins distributed ~$1M in royalties to NFT holders
|
||||
- Pudgy Party achieved 500K+ downloads in 2 weeks
|
||||
- Pudgy World has 160K users
|
||||
- SEC acknowledged Pengu ETF structure in July 2025
|
||||
- Pudgy Penguins targets 2027 IPO
|
||||
- Pudgy Penguins is in 2000 Walmart stores and 2000 Walgreens locations
|
||||
|
|
|
|||
|
|
@ -7,9 +7,13 @@ date: 2026-02-01
|
|||
domain: entertainment
|
||||
secondary_domains: []
|
||||
format: report
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: medium
|
||||
tags: [ai-video-generation, seedance, production-costs, quality-threshold, capability]
|
||||
processed_by: clay
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain.md", "GenAI adoption in entertainment will be gated by consumer acceptance not technology capability.md", "consumer definition of quality is fluid and revealed through preference not fixed by production value.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -59,3 +63,10 @@ Aggregated benchmark data on the leading AI video generation models in 2026 (See
|
|||
PRIMARY CONNECTION: `non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain`
|
||||
WHY ARCHIVED: The hand anatomy benchmark crossing signals that the quality threshold for realistic video has been substantially cleared — which shifts the remaining barrier to consumer acceptance (demand-side) and creative direction (human judgment), not raw capability.
|
||||
EXTRACTION HINT: The Sora retention data (supply without demand) is the most extractable insight. A claim about AI video tool adoption being demand-constrained despite supply capability would be new to the KB.
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Seedance 2.0 technical specs: 2048x1080 landscape / 1080x2048 portrait native resolution, 4-15 second dynamic duration, 30% faster than 1.5 Pro
|
||||
- Benchmark methodology: 50+ generations per model, identical 15-category prompt set, 4 seconds at 720p/24fps, rated 0-10 on 6 dimensions by 2 independent reviewers
|
||||
- Kling 3.0 rated best for ease of use in straightforward video generation
|
||||
- Seedance 2.0 rated best for precise creative control
|
||||
|
|
|
|||
|
|
@ -6,9 +6,13 @@ url: "https://www.futard.io/launch/HT3ScC7gyo3zTn95s9jR7J3ez5u8HrRfFwD33YjMHLy3"
|
|||
date: 2026-02-03
|
||||
domain: internet-finance
|
||||
format: data
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
tags: [futardio, metadao, futarchy, solana]
|
||||
event_type: launch
|
||||
processed_by: rio
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["metadao-ico-platform-demonstrates-15x-oversubscription-validating-futarchy-governed-capital-formation.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Launch Details
|
||||
|
|
@ -237,3 +241,15 @@ Cayman SPC Agreement: [Formation Summary](https://cybercorps.metalex.tech/metada
|
|||
- Token mint: `HURUsdbnMfQSi6khLigf5As8wh2CGNnS2fxHDDXCmeta`
|
||||
- Version: v0.7
|
||||
- Closed: 2026-02-07
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Hurupay processed $36M+ in total transaction volume over 12 months
|
||||
- Hurupay grew from $1.8M/month to $7.2M/month in 6 months (32% MoM growth)
|
||||
- Hurupay has 30,000+ users across Asia, Africa, Europe, and the U.S.
|
||||
- Hurupay generated $500K+ in revenue
|
||||
- Hurupay raised $2,003,593 against $3,000,000 target on Futardio (Feb 2026)
|
||||
- Hurupay token allocation: 39.02% ICO, 11.31% liquidity, 42.66% team (3-year lockup), 7% previous investors (2-year vest)
|
||||
- Hurupay monthly spending allowance: $250K
|
||||
- Hurupay DAO configuration: 300bps pass threshold, 1.5M HURU stake requirement, 3-day proposal duration
|
||||
- Foreign exchange is a $6.5T/day market
|
||||
|
|
|
|||
|
|
@ -6,8 +6,12 @@ url: https://oneuptime.com/blog/post/2026-02-09-hpa-object-metrics-queue/view
|
|||
date: 2026-02-09
|
||||
domain: internet-finance
|
||||
format: essay
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
tags: [pipeline-architecture, kubernetes, autoscaling, queue-based-scaling, KEDA, HPA]
|
||||
processed_by: rio
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["time-varying-arrival-rates-require-dynamic-staffing-not-constant-max-workers.md", "aimd-scaling-solves-variable-load-expensive-compute-coordination-without-prediction.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
# How to Implement HPA with Object Metrics for Queue-Based Scaling
|
||||
|
|
@ -31,3 +35,10 @@ We don't run Kubernetes, but the patterns are directly transferable to our cron-
|
|||
2. Implement scale-to-zero: if no unprocessed sources, don't spawn workers at all (we already do this)
|
||||
3. Multi-metric scaling: consider both extract queue depth AND eval queue depth when deciding extraction worker count
|
||||
4. The proactive scaling insight is key: our dispatcher should look at queue depth, not just worker availability
|
||||
|
||||
|
||||
## Key Facts
|
||||
- KEDA (Kubernetes Event Driven Autoscaler) supports 70+ built-in scalers for different event sources
|
||||
- KEDA implements scale-to-zero capability: 0→1 replicas via event trigger, 1→N replicas via HPA metrics
|
||||
- HPA object metrics allow scaling based on custom Kubernetes objects like ConfigMaps and custom resources
|
||||
- Multi-metric HPA evaluates several metrics simultaneously and scales to whichever requires the most replicas
|
||||
|
|
|
|||
|
|
@ -7,10 +7,14 @@ date: 2026-02-11
|
|||
domain: space-development
|
||||
secondary_domains: []
|
||||
format: article
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: high
|
||||
tags: [china, long-march-10, reusability, sea-landing, competition, state-directed]
|
||||
flagged_for_leo: ["State-directed acceleration compressing technology timelines faster than KB predicted — governance/coordination implications"]
|
||||
processed_by: astra
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["reusable-launch-convergence-creates-us-china-duopoly-in-heavy-lift.md", "reusable-launch-convergence-creates-us-china-duopoly-in-heavy-lift.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -30,11 +34,17 @@ China is also building a 25,000-ton, 472-foot rocket-catching ship "Ling Hang Zh
|
|||
**Why this matters:** The KB claim that China is "closing the reusability gap in 5-8 years" is already outdated. China demonstrated controlled first-stage sea landing in Feb 2026 and is launching a reusable variant in April 2026. The gap closed in ~2 years, not 5-8.
|
||||
**What surprised me:** The tethered wire / cable-net recovery approach. This is a genuinely different engineering solution — not copying SpaceX. China is innovating on the recovery method, not just catching up.
|
||||
**What I expected but didn't find:** Detailed cost projections for reusable Chinese launch. Also missing: how many reflights they're targeting per booster.
|
||||
**KB connections:** [[China is the only credible peer competitor in space with comprehensive capabilities and state-directed acceleration closing the reusability gap in 5-8 years]]
|
||||
**KB connections:** China is the only credible peer competitor in space with comprehensive capabilities and state-directed acceleration closing the reusability gap in 5-8 years
|
||||
**Extraction hints:** The "5-8 years" timeframe in the KB claim needs revision — evidence now shows 1-2 years. The cable-net recovery approach as evidence of independent innovation, not just technology copying. State-directed acceleration as a different competitive model than market-driven (SpaceX) or patient-capital (Blue Origin).
|
||||
**Context:** China's space program operates under state direction with strategic competition motivation. The speed of their reusability development suggests the 5-8 year estimate was significantly wrong — possibly because it underweighted state-directed industrial policy.
|
||||
|
||||
## Curator Notes (structured handoff for extractor)
|
||||
PRIMARY CONNECTION: [[China is the only credible peer competitor in space with comprehensive capabilities and state-directed acceleration closing the reusability gap in 5-8 years]]
|
||||
PRIMARY CONNECTION: China is the only credible peer competitor in space with comprehensive capabilities and state-directed acceleration closing the reusability gap in 5-8 years
|
||||
WHY ARCHIVED: Directly challenges the "5-8 year" timeline — China achieved first stage recovery in early 2026, with reusable variant launching April 2026
|
||||
EXTRACTION HINT: The claim needs timeline revision. Also extract the cable-net recovery approach as evidence of independent innovation trajectory.
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Long March 10B payload capacity: 11,000 kg to 900km altitude at 50° inclination
|
||||
- China's recovery system uses 'tethered landing devices' - hooks deployed by stage caught by tensioned wire
|
||||
- Ling Hang Zhe specifications: 25,000 tons, 472 feet, cable-net recovery gantry
|
||||
|
|
|
|||
|
|
@ -6,9 +6,13 @@ url: "https://www.futard.io/launch/48z3txCwsHekZ7b43mPfoB3bMcZv3GpwX7B27x2PdmTA"
|
|||
date: 2026-02-25
|
||||
domain: internet-finance
|
||||
format: data
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
tags: [futardio, metadao, futarchy, solana]
|
||||
event_type: launch
|
||||
processed_by: rio
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["futarchy-governed-meme-coins-attract-speculative-capital-at-scale.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Launch Details
|
||||
|
|
@ -85,3 +89,10 @@ MetaDAO changes that. Raise proceeds are locked in an on-chain treasury governed
|
|||
- Total approved: $10.00
|
||||
- Closed: 2026-02-26
|
||||
- Completed: 2026-02-26
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Rock Game raised $272 against a $10 target on futard.io (2026-02-25)
|
||||
- Rock Game uses MetaDAO's Autocrat v0.7 for governance
|
||||
- Rock Game token symbol is 3n6 with mint address 3n6X4XRJHrkckqX21a5yJdSiGXXZo4MtEvVVsgSAmeta
|
||||
- Rock Game fundraise closed and completed 2026-02-26
|
||||
|
|
|
|||
|
|
@ -7,9 +7,13 @@ date: 2026-03-00
|
|||
domain: space-development
|
||||
secondary_domains: []
|
||||
format: article
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: high
|
||||
tags: [artemis, nasa, sls, lunar-landing, isru, timeline-slip, governance-gap]
|
||||
processed_by: astra
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["the 30-year space economy attractor state is a cislunar industrial system with propellant networks lunar ISRU orbital manufacturing and partial life support closure.md", "space governance gaps are widening not narrowing because technology advances exponentially while institutional design advances linearly.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -39,3 +43,11 @@ This represents a significant restructuring from earlier plans where Artemis III
|
|||
PRIMARY CONNECTION: [[the 30-year space economy attractor state is a cislunar industrial system with propellant networks lunar ISRU orbital manufacturing and partial life support closure]]
|
||||
WHY ARCHIVED: Artemis restructuring pushes lunar landing to 2028 and reveals ISRU resource knowledge gap — both affect attractor state timeline
|
||||
EXTRACTION HINT: Extract the ISRU resource knowledge gap as a NEW constraint not currently in KB (technology readiness ≠ deployment readiness when you don't know where the resource is)
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Artemis II crew: Wiseman, Glover, Koch (NASA) + Hansen (CSA)
|
||||
- Artemis II is a 10-day crewed lunar flyby mission
|
||||
- Artemis II rolled back to VAB on February 25, 2026 due to helium flow issue
|
||||
- Multiple ISRU prototypes at TRL 5-6: Carbothermal reactor, IPEx excavator, PVEx volatile extractor
|
||||
- Artemis V planned for late 2028 as second lunar landing
|
||||
|
|
|
|||
|
|
@ -7,9 +7,12 @@ date: 2026-03-00
|
|||
domain: internet-finance
|
||||
secondary_domains: []
|
||||
format: market-analysis
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: medium
|
||||
tags: [solana, launchpads, pump-fun, metadao, capital-formation, token-launches, competitive-landscape]
|
||||
processed_by: rio
|
||||
processed_date: 2026-03-16
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -52,3 +55,15 @@ MetaDAO and Solanium are positioned as solutions — MetaDAO through futarchy pr
|
|||
PRIMARY CONNECTION: [[futarchy-governed permissionless launches require brand separation to manage reputational liability]]
|
||||
WHY ARCHIVED: Competitive landscape data positions MetaDAO's futarchy model against permissionless alternatives — survival rate data is the strongest argument for curation
|
||||
EXTRACTION HINT: Focus on the curation vs permissionless spectrum as a market structure claim — what does the 9M tokens / <0.5% survival rate tell us about where value accrues in capital formation?
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Pump.fun generated $700M+ revenue since January 2024
|
||||
- Pump.fun launched 11M+ tokens
|
||||
- Pump.fun represented 70% of all Solana token launches at peak
|
||||
- Pump.fun bonding curve model: 1B tokens per launch, 800M to bonding curve
|
||||
- <0.5% of Pump.fun tokens survive 30 days
|
||||
- MetaDAO conducted 8 ICOs raising $25.6M with 15x oversubscription
|
||||
- Over 9 million tokens were launched on Solana in 2025
|
||||
- Bags.fm offers 1% perpetual revenue share on trading volume
|
||||
- Magic Eden operates NFT-focused launchpad with high selectivity
|
||||
|
|
|
|||
|
|
@ -7,9 +7,13 @@ date: 2026-03-01
|
|||
domain: entertainment
|
||||
secondary_domains: [internet-finance]
|
||||
format: statistics-compilation
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: high
|
||||
tags: [creator-economy, owned-distribution, platform-dependency, revenue-comparison, statistics]
|
||||
processed_by: clay
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["creator-owned-direct-subscription-platforms-produce-qualitatively-different-audience-relationships-than-algorithmic-social-platforms-because-subscribers-choose-deliberately.md", "established-creators-generate-more-revenue-from-owned-streaming-subscriptions-than-from-equivalent-social-platform-ad-revenue.md", "creator-owned-streaming-infrastructure-has-reached-commercial-scale-with-430M-annual-creator-revenue-across-13M-subscribers.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -38,7 +42,7 @@ Aggregated statistics from multiple 2026 creator economy reports.
|
|||
**Why this matters:** The 189% income premium for owned-revenue creators vs platform-dependent creators is the strongest aggregate evidence that value capture fundamentally differs based on distribution ownership. This isn't about individual outliers (MrBeast, Swift) — it's a statistical pattern across the creator economy.
|
||||
**What surprised me:** The platform vulnerability numbers — 42% of YouTube creators would lose $50K+ if they lost access. This quantifies the distributor leverage that community-owned distribution avoids.
|
||||
**What I expected but didn't find:** Causal direction. Do creators earn more BECAUSE they own their distribution, or do high-earning creators TEND to build owned distribution because they can afford to? Selection bias is a real concern.
|
||||
**KB connections:** [[value flows to whichever resources are scarce and disruption shifts which resources are scarce making resource-scarcity analysis the core strategic framework]], [[when profits disappear at one layer of a value chain they emerge at an adjacent layer through the conservation of attractive profits]]
|
||||
**KB connections:** value flows to whichever resources are scarce and disruption shifts which resources are scarce making resource-scarcity analysis the core strategic framework, [[when profits disappear at one layer of a value chain they emerge at an adjacent layer through the conservation of attractive profits]]
|
||||
**Extraction hints:** Claim about owned-revenue creators earning 189% more (but note selection bias caveat). Claim about platform vulnerability quantification.
|
||||
**Context:** Multiple statistical compilation sources. Individual data points have varying reliability — treat as directional rather than precise.
|
||||
|
||||
|
|
@ -46,3 +50,15 @@ Aggregated statistics from multiple 2026 creator economy reports.
|
|||
PRIMARY CONNECTION: value flows to whichever resources are scarce and disruption shifts which resources are scarce making resource-scarcity analysis the core strategic framework
|
||||
WHY ARCHIVED: Aggregate statistical evidence that distribution ownership — not just content quality — determines creator income. Complements the case-study evidence (Dropout, MrBeast) with population-level data.
|
||||
EXTRACTION HINT: The 189% figure is the headline but the platform vulnerability data (42% YouTube creator dependency) is equally important. Together they make the case that owned distribution is both more profitable AND more resilient.
|
||||
|
||||
|
||||
## Key Facts
|
||||
- 88% of 'Entrepreneurial Creators' leverage their own websites (2026)
|
||||
- 75% of high-earning creators have membership communities (2026)
|
||||
- 24% of creators use link-in-bio tools (2026)
|
||||
- 32% of creators cite unreliable/declining social reach as major strategic concern (2026)
|
||||
- 42% of YouTube creators would lose $50K+ annually if platform access disappeared
|
||||
- 38% of Instagram creators face same $50K+ vulnerability
|
||||
- 37% of TikTok creators face same $50K+ vulnerability
|
||||
- Dropout cited as exemplar with 1M+ subscribers and 40-45% EBITDA margins
|
||||
- Creator economy M&A activity increasing in 2026
|
||||
|
|
|
|||
|
|
@ -7,9 +7,12 @@ date: 2026-03-01
|
|||
domain: entertainment
|
||||
secondary_domains: [internet-finance]
|
||||
format: analysis
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: high
|
||||
tags: [pudgy-penguins, retail-distribution, phygital, community-ip, ipo, web3-entertainment]
|
||||
processed_by: clay
|
||||
processed_date: 2026-03-16
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -58,3 +61,12 @@ Aggregated from multiple March 2026 sources on Pudgy Penguins' performance and s
|
|||
PRIMARY CONNECTION: community ownership accelerates growth through aligned evangelism not passive holding
|
||||
WHY ARCHIVED: Most complete current data on retail-first distribution bypass strategy. The PENGU token decline vs retail growth divergence is a critical signal about which ownership mechanisms actually work.
|
||||
EXTRACTION HINT: The token price decline is NOT a failure of the community thesis — it's a REFINEMENT. Community ownership may function through brand loyalty and retail economics rather than token economics. This is a significant scoping insight for Belief 5.
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Pudgy Penguins retail distribution: 10,000+ locations including 3,100 Walmart stores as of 2026
|
||||
- Pudgy Penguins revenue: $13M (2024), $50-60M (2025), $120M (2026 target)
|
||||
- PENGU token: launched Dec 2024 at $0.037, peaked $0.0574, trading at $0.0064-0.0071 in March 2026 (88.92% decline)
|
||||
- Pudgy Penguins GIPHY views: 65.1 billion (2x Disney's nearest competitor)
|
||||
- Vibes TCG: 4M cards moved by early 2026
|
||||
- Valentine's Day 2026 campaign: $50K daily retail sales, 15x ROAS
|
||||
|
|
|
|||
|
|
@ -6,9 +6,13 @@ url: "https://www.futard.io/launch/9MqyiXXJUAXQ1Uy5j2EV8hq21UeR3ruukWkZ1XGNhg3R"
|
|||
date: 2026-03-03
|
||||
domain: internet-finance
|
||||
format: data
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
tags: [futardio, metadao, futarchy, solana]
|
||||
event_type: launch
|
||||
processed_by: rio
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["metadao-ico-platform-demonstrates-15x-oversubscription-validating-futarchy-governed-capital-formation.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Launch Details
|
||||
|
|
@ -217,3 +221,15 @@ Worst case: the first and only private DCA product on Solana, used by whales who
|
|||
- Token mint: `8RSpKqJFeF6ipThWDXP284mE2ufmfeHwjdEjduQ2meta`
|
||||
- Version: v0.7
|
||||
- Closed: 2026-03-04
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Cloak raised $1,455 against $300,000 target on Futardio (0.5% of target)
|
||||
- Cloak is live on Solana mainnet in private beta
|
||||
- Cloak integrated Oro (tokenized gold) as first RWA DCA option
|
||||
- Cloak supports private DCA into SOL, cbBTC, and ZEC
|
||||
- Cloak team: Vaibhav and Prasad, both repeat founders and Superteam contributors
|
||||
- Cloak uses Privacy.cash ZK-proof privacy pools on Solana
|
||||
- MEV extraction on Solana estimated at $370M-$500M over 16 months (mid-2025)
|
||||
- Cloak's proposed team allocation: 3M tokens locked with performance unlocks at 2x, 4x, 8x, 16x, 32x ICO price, 18-month cliff
|
||||
- Cloak's proposed monthly burn: $11,500 ($10K team + $1,500 infrastructure)
|
||||
|
|
|
|||
150
skills/self-audit.md
Normal file
150
skills/self-audit.md
Normal file
|
|
@ -0,0 +1,150 @@
|
|||
# Skill: Self-Audit
|
||||
|
||||
Periodic self-examination of an agent's knowledge base for inconsistencies, weaknesses, and drift. Every agent runs this on their own domain.
|
||||
|
||||
## When to Use
|
||||
|
||||
- Every 50 claims added to your domain (condition-based trigger)
|
||||
- Monthly if claim volume is low
|
||||
- After a major belief update (cascade from upstream claim changes)
|
||||
- When preparing to publish positions (highest-stakes output deserves freshest audit)
|
||||
- On request from Leo or Cory
|
||||
|
||||
## Principle: Detection, Not Remediation
|
||||
|
||||
Self-audit is read-only. You detect problems and report them. You do NOT auto-fix.
|
||||
|
||||
Fixes go through the standard PR process. This prevents the over-automation failure mode where silent corrections introduce new errors. The audit produces a report; the report drives PRs.
|
||||
|
||||
## Process
|
||||
|
||||
### Phase 1: Structural Scan (deterministic, automated)
|
||||
|
||||
Run these checks on all claims in your domain (`domains/{your-domain}/`):
|
||||
|
||||
**1. Schema compliance**
|
||||
- Every file has required frontmatter: `type`, `domain`, `description`, `confidence`, `source`, `created`
|
||||
- `confidence` is one of: `proven`, `likely`, `experimental`, `speculative`
|
||||
- `domain` matches the folder it lives in
|
||||
- Description adds information beyond the title (not a restatement)
|
||||
|
||||
**2. Orphan detection**
|
||||
- Build incoming-link index: for each claim, which other claims link TO it via `title`
|
||||
- Claims with 0 incoming links and created > 7 days ago are orphans
|
||||
- Classify: "leaf contributor" (has outgoing links, no incoming) vs "truly isolated" (no links either direction)
|
||||
|
||||
**3. Link health**
|
||||
- Every `wiki link` in the body should resolve to an actual file
|
||||
- Dangling links = either the target was renamed/deleted, or the link is aspirational
|
||||
- Report: list of broken links with the file they appear in
|
||||
|
||||
**4. Staleness check**
|
||||
- Claims older than 180 days in fast-moving domains (health, ai-alignment, internet-finance)
|
||||
- Claims older than 365 days in slower domains (cultural-dynamics, critical-systems)
|
||||
- Cross-reference with git log: a claim file modified recently (enriched, updated) is not stale even if `created` is old
|
||||
|
||||
**5. Duplicate detection**
|
||||
- Compare claim titles pairwise for semantic similarity
|
||||
- Flag pairs where titles assert nearly the same thing with different wording
|
||||
- This catches extraction drift — the same insight extracted from different sources as separate claims
|
||||
|
||||
### Phase 2: Epistemic Self-Audit (LLM-assisted, requires judgment)
|
||||
|
||||
Load your claims in batches (context window management — don't load all 50+ at once).
|
||||
|
||||
**6. Contradiction scan**
|
||||
- Load claims in groups of 15-20
|
||||
- For each group, ask: "Do any of these claims contradict or tension with each other without acknowledging it?"
|
||||
- Tensions are fine if explicit (`challenged_by` field, or acknowledged in the body). UNACKNOWLEDGED tensions are the bug.
|
||||
- Cross-check: load claims that share wiki-link targets — these are most likely to have hidden tensions
|
||||
|
||||
**7. Confidence calibration audit**
|
||||
- For each `proven` claim: does the body contain empirical evidence (RCTs, meta-analyses, large-N studies, mathematical proofs)? If not, it's overconfident.
|
||||
- For each `speculative` claim: does the body actually contain substantial evidence that might warrant upgrading to `experimental`?
|
||||
- For `likely` claims: is there counter-evidence elsewhere in the KB? If so, is it acknowledged?
|
||||
|
||||
**8. Belief grounding check**
|
||||
- Read `agents/{your-name}/beliefs.md`
|
||||
- For each belief, verify the `depends_on` claims:
|
||||
- Do they still exist? (not deleted or archived)
|
||||
- Has their confidence changed since the belief was last evaluated?
|
||||
- Have any been challenged with substantive counter-evidence?
|
||||
- Flag beliefs where supporting claims have shifted but the belief hasn't been re-evaluated
|
||||
|
||||
**9. Gap identification**
|
||||
- Map your claims by subtopic. Where do you have single claims that should be clusters?
|
||||
- Check adjacent domains: what claims in other domains reference your domain but have no corresponding claim in your territory?
|
||||
- Check your beliefs: which beliefs have the thinnest evidence base (fewest supporting claims)?
|
||||
- Rank gaps by impact: gaps that affect active positions > gaps that affect beliefs > gaps in coverage
|
||||
|
||||
**10. Cross-domain connection audit**
|
||||
- What percentage of your claims link to claims in other domains?
|
||||
- Healthy range: 15-30%. Below 15% = siloed. Above 30% = possibly under-grounded in own domain.
|
||||
- Which other domains SHOULD you connect to but don't? (Based on your beliefs and identity)
|
||||
|
||||
### Phase 3: Report
|
||||
|
||||
Produce a structured report. Format:
|
||||
|
||||
```markdown
|
||||
# Self-Audit Report: {Agent Name}
|
||||
**Date:** YYYY-MM-DD
|
||||
**Domain:** {domain}
|
||||
**Claims audited:** N
|
||||
**Overall status:** healthy | warning | critical
|
||||
|
||||
## Structural Findings
|
||||
- Schema violations: N (list)
|
||||
- Orphans: N (list with classification)
|
||||
- Broken links: N (list)
|
||||
- Stale claims: N (list with recommended action)
|
||||
- Potential duplicates: N (list pairs)
|
||||
|
||||
## Epistemic Findings
|
||||
- Unacknowledged contradictions: N (list claim pairs with the tension)
|
||||
- Confidence miscalibrations: N (list with recommended adjustment)
|
||||
- Belief grounding issues: N (list beliefs with shifted dependencies)
|
||||
|
||||
## Knowledge Gaps (ranked by impact)
|
||||
1. {Gap description} — affects belief/position X
|
||||
2. {Gap description} — affects belief/position Y
|
||||
|
||||
## Cross-Domain Health
|
||||
- Linkage ratio: X%
|
||||
- Missing connections: {domains that should be linked but aren't}
|
||||
|
||||
## Recommended Actions (prioritized)
|
||||
1. {Most impactful fix — usually an unacknowledged contradiction or belief grounding issue}
|
||||
2. {Second priority}
|
||||
3. ...
|
||||
```
|
||||
|
||||
### Phase 4: Act on Findings
|
||||
|
||||
- **Contradictions and miscalibrations** → create PRs to fix (highest priority)
|
||||
- **Orphans** → add incoming links from related claims (batch into one PR)
|
||||
- **Gaps** → publish as frontiers in `agents/{your-name}/frontier.md` (invites contribution)
|
||||
- **Stale claims** → research whether the landscape has changed, update or challenge
|
||||
- **Belief grounding issues** → trigger belief re-evaluation (may cascade to positions)
|
||||
|
||||
## What Self-Audit Does NOT Do
|
||||
|
||||
- Does not evaluate whether claims are TRUE (that's the evaluate skill + domain expertise)
|
||||
- Does not modify any files (detection only)
|
||||
- Does not audit other agents' domains (each agent audits their own)
|
||||
- Does not replace Leo's cross-domain evaluation (self-audit is inward-facing)
|
||||
|
||||
## Relationship to Other Skills
|
||||
|
||||
- **evaluate.md** — evaluates incoming claims. Self-audit evaluates existing claims.
|
||||
- **cascade.md** — propagates changes through the dependency chain. Self-audit identifies WHERE cascades are needed.
|
||||
- **learn-cycle.md** — processes new information. Self-audit reviews accumulated knowledge.
|
||||
- **synthesize.md** — creates cross-domain connections. Self-audit measures whether enough connections exist.
|
||||
|
||||
## Frequency Guidelines
|
||||
|
||||
| Domain velocity | Audit trigger | Expected duration |
|
||||
|----------------|--------------|-------------------|
|
||||
| Fast (health, AI, finance) | Every 50 claims or monthly | 1-2 hours |
|
||||
| Medium (entertainment, space) | Every 50 claims or quarterly | 1 hour |
|
||||
| Slow (cultural dynamics, critical systems) | Every 50 claims or biannually | 45 min |
|
||||
Loading…
Reference in a new issue