extract: 2025-12-23-jama-cardiology-select-hospitalization-analysis #1046
43 changed files with 570 additions and 35 deletions
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@ -29,10 +29,16 @@ The emergence of 'human-made' as a premium label in 2026 provides concrete evide
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### Additional Evidence (confirm)
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*Source: [[2025-07-01-emarketer-consumers-rejecting-ai-creator-content]] | Added: 2026-03-12 | Extractor: anthropic/claude-sonnet-4.5*
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*Source: 2025-07-01-emarketer-consumers-rejecting-ai-creator-content | Added: 2026-03-12 | Extractor: anthropic/claude-sonnet-4.5*
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The 60%→26% collapse in consumer enthusiasm for AI-generated creator content between 2023-2025 (Billion Dollar Boy survey, July 2025, 4,000 consumers) provides the clearest longitudinal evidence that consumer acceptance is the binding constraint. This decline occurred during a period of significant AI quality improvement, definitively proving that capability advancement does not automatically translate to consumer acceptance. The emergence of 'AI slop' as mainstream consumer terminology indicates organized rejection is forming. Additionally, 32% of consumers now say AI negatively disrupts the creator economy (up from 18% in 2023), and 31% say AI in ads makes them less likely to pick a brand (CivicScience, July 2025).
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### Additional Evidence (extend)
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*Source: [[2026-01-01-koinsights-authenticity-premium-ai-rejection]] | Added: 2026-03-16*
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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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@ -29,6 +29,12 @@ The timing is significant: this acceptance collapse occurred while major brands
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## Challenges
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The data is specific to creator content and may not generalize to all entertainment formats. Interactive AI experiences or AI-assisted (rather than AI-generated) content may face different acceptance dynamics. The surveys capture stated preferences, which may differ from revealed preferences in actual consumption behavior. The source material does not provide independent verification of the 60%→26% figure beyond eMarketer's citation of Billion Dollar Boy.
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### Additional Evidence (confirm)
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*Source: [[2026-01-01-koinsights-authenticity-premium-ai-rejection]] | Added: 2026-03-16*
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Deloitte 2024 Connected Consumer Survey found nearly 70% of respondents are concerned AI-generated content will be used to deceive them. Approximately half of consumers now believe they can recognize AI-written content, with many disengaging when brands appear to rely heavily on it in emotionally meaningful contexts.
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@ -27,6 +27,12 @@ The creative-versus-functional distinction also explains why the 60%→26% colla
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## Implications
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This use-case divergence suggests that entertainment companies should pursue AI adoption asymmetrically: aggressive investment in backend production efficiency and infrastructure, but cautious deployment in consumer-facing creative applications where the "AI-made" signal itself may damage value. The strategy is to use AI where consumers don't see it, not where they do.
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### Additional Evidence (extend)
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*Source: [[2026-01-01-koinsights-authenticity-premium-ai-rejection]] | Added: 2026-03-16*
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The divergence is strongest in contexts with high emotional stakes, cultural significance, visible human craft, and trust requirements. The McDonald's Christmas ad case demonstrates that even high-production-value AI content (10 people, 5 weeks) faces rejection in emotionally meaningful contexts.
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@ -29,6 +29,12 @@ This challenges the assumption that commercial optimization necessarily degrades
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- Academic framing of tour as "cultural touchstone" where "audiences see themselves reflected in Swift's evolution"
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- 3-hour concert functioning as "the soundtrack of millions of lives" (simultaneous coordination at scale)
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### Additional Evidence (confirm)
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*Source: [[2025-01-01-sage-algorithmic-content-creation-systematic-review]] | Added: 2026-03-16*
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LinkedIn's algorithm redesign to 'emphasize authentic professional storytelling over promotional content' and actively demote 'engagement baiting tactics' demonstrates that platform-level intervention can realign commercial incentives with meaning functions. This confirms that revenue model architecture determines whether commercial and meaning functions align or conflict.
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@ -40,10 +40,16 @@ This represents a scarcity inversion: as AI-generated content becomes abundant a
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### Additional Evidence (confirm)
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*Source: [[2025-07-01-emarketer-consumers-rejecting-ai-creator-content]] | Added: 2026-03-12 | Extractor: anthropic/claude-sonnet-4.5*
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*Source: 2025-07-01-emarketer-consumers-rejecting-ai-creator-content | Added: 2026-03-12 | Extractor: anthropic/claude-sonnet-4.5*
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The 60%→26% enthusiasm collapse for AI-generated creator content (2023-2025) while AI quality improved demonstrates that the 'human-made' signal is becoming more valuable precisely as AI capability increases. The Goldman Sachs finding that 54% of Gen Z reject AI in creative work (versus 13% in shopping) shows consumers are willing to pay the premium specifically in domains where authenticity and human creativity are core to the value proposition. The mainstream adoption of 'AI slop' as consumer terminology indicates the market is actively creating language to distinguish and devalue AI-generated content, which is the precursor to premium human-made positioning.
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### Additional Evidence (confirm)
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*Source: [[2026-01-01-koinsights-authenticity-premium-ai-rejection]] | Added: 2026-03-16*
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The 'authenticity premium' is now measurable across multiple studies. Nuremberg Institute (2025) found that simply labeling an ad as AI-generated lowers ad attitudes and willingness to purchase, creating a quantifiable trust penalty for AI authorship.
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Relevant Notes:
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@ -23,6 +23,12 @@ The two-moat framework has cross-domain implications. In healthcare, distributio
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Swift's strategy confirms the two-phase disruption model. Phase 1 (distribution): Direct AMC theater deal and streaming control bypass traditional film and music distributors. Phase 2 (creation): Re-recordings demonstrate creator control over production and IP ownership, not just distribution access. The $4.1B tour revenue (7x recorded music revenue) shows distribution disruption is further advanced than creation disruption—live performance and direct distribution capture more value than recorded music creation. This supports the claim that distribution moats fall first (Swift captured studio margins through direct exhibition), while creation moats remain partially intact (she still relies on compositions written during label era).
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### Additional Evidence (extend)
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*Source: [[2026-01-01-mckinsey-ai-film-tv-production-future]] | Added: 2026-03-16*
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McKinsey's finding that distributors capture most value from AI production efficiency adds a third phase insight: even as creation costs fall (phase 2), value doesn't automatically flow to creators—it flows to whoever controls distribution. This suggests the two-phase model needs refinement: phase 2 (creation moat collapse) benefits creators only if phase 1 (distribution alternatives) has already occurred.
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@ -23,6 +23,12 @@ If non-ATL costs fall to thousands or millions rather than hundreds of millions,
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A concrete early signal: a 9-person team reportedly produced an animated film for ~$700K. The trajectory is from $200M to potentially $1M or less for competitive content, with the timeline gated by consumer acceptance rather than technology capability.
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### Additional Evidence (confirm)
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*Source: [[2026-01-01-mckinsey-ai-film-tv-production-future]] | Added: 2026-03-16*
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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.
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@ -30,6 +30,12 @@ For value-based care models and capitated payers, this multi-organ protection cr
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- Nature Medicine: additive benefits with SGLT2 inhibitors
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- First GLP-1 to receive FDA indication for CKD in T2D patients
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### Additional Evidence (extend)
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*Source: [[2025-12-23-jama-cardiology-select-hospitalization-analysis]] | Added: 2026-03-16*
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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.
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@ -34,10 +34,16 @@ Some evidence indicates lower mortality rates among PACE enrollees, suggesting q
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### Additional Evidence (extend)
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*Source: [[2021-02-00-pmc-japan-ltci-past-present-future]] | Added: 2026-03-15 | Extractor: anthropic/claude-sonnet-4.5*
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*Source: 2021-02-00-pmc-japan-ltci-past-present-future | Added: 2026-03-15 | Extractor: anthropic/claude-sonnet-4.5*
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Japan's LTCI provides a national-scale comparison point for PACE's integrated care model. LTCI offers both facility-based and home-based care chosen by beneficiaries, integrating medical care with welfare services across 7 care level tiers. As of 2015, the system served 5+ million beneficiaries (17% of 65+ population) — compared to PACE's 90,000 enrollees in the US. If the US had equivalent coverage, that would represent ~11.4 million people. Japan's experience demonstrates that integrated care delivery can operate at national scale through mandatory insurance, though financial sustainability under extreme aging demographics (28.4% elderly, rising to 40%) remains an ongoing challenge requiring premium and copayment adjustments.
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### Additional Evidence (confirm)
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*Source: [[2025-03-17-norc-pace-market-assessment-for-profit-expansion]] | Added: 2026-03-16*
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2025 data shows PACE serves 80,815 enrollees across 198 programs in 33 states, with most fully integrated capitated model taking 100% responsibility for nursing-home-eligible patients. The report confirms PACE's value proposition is community-based care delivery for complex patients, not cost reduction. However, it adds critical context: nearly half of enrollees are served by just 10 parent organizations, and over half are concentrated in 3 states (CA, NY, PA), indicating the model works but faces severe scaling constraints that prevent national replication.
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Relevant Notes:
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@ -46,4 +52,4 @@ Relevant Notes:
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- [[social isolation costs Medicare 7 billion annually and carries mortality risk equivalent to smoking 15 cigarettes per day making loneliness a clinical condition not a personal problem]]
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Topics:
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- [[health/_map]]
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- health/_map
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@ -287,16 +287,22 @@ PACE provides the most comprehensive real-world test of the prevention-first att
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### Additional Evidence (extend)
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*Source: [[2024-09-19-commonwealth-fund-mirror-mirror-2024]] | Added: 2026-03-12 | Extractor: anthropic/claude-sonnet-4.5*
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*Source: 2024-09-19-commonwealth-fund-mirror-mirror-2024 | Added: 2026-03-12 | Extractor: anthropic/claude-sonnet-4.5*
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The Commonwealth Fund's 2024 international comparison provides evidence that the prevention-first attractor state is not theoretical — peer nations demonstrate it empirically. The top performers (Australia, Netherlands) achieve better health outcomes with lower spending as percentage of GDP, suggesting their systems have structural features that prevent rather than treat. The US paradox (2nd in care process, last in outcomes, highest spending, lowest efficiency) reveals a system optimized for treating sickness rather than producing health. The efficiency domain rankings (US among worst — highest spending, lowest return) quantify the cost of a sick-care attractor state. The international benchmark shows that systems with better access, equity, and prevention orientation achieve superior outcomes at lower cost, suggesting the prevention-first attractor state is achievable and economically superior to the current US sick-care model.
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### Additional Evidence (confirm)
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*Source: [[2025-07-24-kff-medicare-advantage-2025-enrollment-update]] | Added: 2026-03-15*
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*Source: 2025-07-24-kff-medicare-advantage-2025-enrollment-update | Added: 2026-03-15*
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C-SNP growth of 71% in one year shows MA plans are rapidly building chronic disease management infrastructure. With 21% of MA enrollment now in SNPs (up from 14% in 2020), the market is structurally shifting toward continuous care management models that align with prevention-first economics.
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### Additional Evidence (challenge)
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*Source: [[2025-03-17-norc-pace-market-assessment-for-profit-expansion]] | Added: 2026-03-16*
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PACE is the strongest counter-evidence to attractor state inevitability. Operating since the 1970s with full capitation for the most complex Medicare/Medicaid patients (avg 76 years, 7+ chronic conditions, nursing-home eligible), PACE has achieved only 0.13% Medicare penetration (80,815 enrollees out of 67M eligible) as of 2025. Seven structural barriers prevent scaling despite clinical success: capital requirements, awareness deficits, insufficient enrollee concentration, geographic concentration in 3 states, dual-eligibility requirements, state-by-state regulatory complexity, and single-state operator structures. The 50-year timeline proves that model superiority does not guarantee market adoption—structural barriers can indefinitely prevent the attractor state even when the model demonstrably works.
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@ -19,22 +19,28 @@ The Making Care Primary model's termination in June 2025 (after just 12 months,
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### Additional Evidence (extend)
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*Source: [[2014-00-00-aspe-pace-effect-costs-nursing-home-mortality]] | Added: 2026-03-10 | Extractor: anthropic/claude-sonnet-4.5*
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*Source: 2014-00-00-aspe-pace-effect-costs-nursing-home-mortality | Added: 2026-03-10 | Extractor: anthropic/claude-sonnet-4.5*
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PACE represents the extreme end of value-based care alignment—100% capitation with full financial risk for a nursing-home-eligible population. The ASPE/HHS evaluation shows that even under complete payment alignment, PACE does not reduce total costs but redistributes them (lower Medicare acute costs in early months, higher Medicaid chronic costs overall). This suggests that the 'payment boundary' stall may not be primarily a problem of insufficient risk-bearing. Rather, the economic case for value-based care may rest on quality/preference improvements rather than cost reduction. PACE's 'stall' is not at the payment boundary—it's at the cost-savings promise. The implication: value-based care may require a different success metric (outcome quality, institutionalization avoidance, mortality reduction) than the current cost-reduction narrative assumes.
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### Additional Evidence (extend)
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*Source: [[2024-08-01-jmcp-glp1-persistence-adherence-commercial-populations]] | Added: 2026-03-15 | Extractor: anthropic/claude-sonnet-4.5*
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*Source: 2024-08-01-jmcp-glp1-persistence-adherence-commercial-populations | Added: 2026-03-15 | Extractor: anthropic/claude-sonnet-4.5*
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GLP-1 persistence data illustrates why value-based care requires risk alignment: with only 32.3% of non-diabetic obesity patients remaining on GLP-1s at one year (15% at two years), the downstream savings that justify the upfront drug cost never materialize for 85% of patients. Under fee-for-service, the pharmacy benefit pays the cost but doesn't capture the avoided hospitalizations. Under partial risk (upside-only), providers have no incentive to invest in adherence support because they don't bear the cost of discontinuation. Only under full risk (capitation) does the entity paying for the drug also capture the downstream savings—but only if adherence is sustained. This makes GLP-1 economics a test case for whether value-based care can solve the "who pays vs. who benefits" misalignment.
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### Additional Evidence (confirm)
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*Source: [[2025-03-01-medicare-prior-authorization-glp1-near-universal]] | Added: 2026-03-15*
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*Source: 2025-03-01-medicare-prior-authorization-glp1-near-universal | Added: 2026-03-15*
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Medicare Advantage plans bearing full capitated risk increased GLP-1 prior authorization from <5% to nearly 100% within two years (2023-2025), demonstrating that even full-risk capitation does not automatically align incentives toward prevention when short-term cost pressures dominate. Both BCBS and UnitedHealthcare implemented universal PA despite theoretical alignment under capitation.
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### Additional Evidence (extend)
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*Source: [[2025-03-17-norc-pace-market-assessment-for-profit-expansion]] | Added: 2026-03-16*
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PACE represents the 100% risk endpoint—full capitation for all medical, social, and psychiatric needs, entirely replacing Medicare and Medicaid cards. Yet even at full risk with proven outcomes for the highest-cost patients, PACE serves only 0.13% of Medicare eligibles after 50 years. This suggests the stall point is not just at the payment boundary (partial vs full risk) but at the scaling boundary—capital, awareness, regulatory, and operational barriers prevent even successful full-risk models from achieving market penetration. The gap between 14% bearing full risk and PACE's 0.13% penetration indicates that moving from partial to full risk is necessary but insufficient for VBC transformation.
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@ -109,6 +109,12 @@ Ranger Finance ICO completed in April 2025, adding ~$9.1M to total Assets Under
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Umbra raised $3M through MetaDAO's futard.io platform (Oct 6-10, 2025) with $154.9M total committed against $750K target, demonstrating 206x oversubscription. This is concrete evidence of MetaDAO's operational capacity to facilitate large-scale futarchy-governed capital raises.
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### Additional Evidence (extend)
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*Source: [[2025-12-00-pine-analytics-metadao-q4-2025-report]] | Added: 2026-03-16*
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Q4 2025 achieved 6 ICO launches raising $18.7M with several exceeds exceeding minimums by tens of millions in deposits. Total futarchy marketcap reached $219M with $69M in non-META tokens showing ecosystem diversification beyond the platform token. First profitable quarter validates the business model at scale.
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The ISC treasury swap proposal (Gp3ANMRTdGLPNeMGFUrzVFaodouwJSEXHbg5rFUi9roJ) was a contested decision that failed, showing futarchy markets can reject proposals with clear economic rationale when risk factors dominate. The proposal offered inflation hedge benefits but markets priced early-stage counterparty risk higher, demonstrating active price discovery in treasury decisions.
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### Additional Evidence (challenge)
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*Source: [[2025-12-00-pine-analytics-metadao-q4-2025-report]] | Added: 2026-03-16*
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Q4 2025 data shows governance proposal volume increased 17.5x from $205K to $3.6M as ecosystem expanded from 2 to 8 protocols, suggesting engagement scales with ecosystem size rather than being structurally limited. The original claim may have been measuring early-stage adoption rather than inherent mechanism limitations.
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@ -32,6 +32,12 @@ The Teleo pipeline currently has zero backpressure. The extract-cron.sh dispatch
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Simple implementation: extraction dispatcher should check open PR count before dispatching. If open PRs exceed threshold, reduce extraction parallelism or skip the cycle entirely. This creates the feedback loop that prevents eval queue overload.
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### Additional Evidence (extend)
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*Source: [[2025-12-00-javacodegeeks-reactive-programming-backpressure-stream-processing]] | Added: 2026-03-16*
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Reactive Streams specification implements backpressure through Publisher/Subscriber/Subscription interfaces where Subscriber requests N items and Publisher delivers at most N, creating demand-based flow control. Four standard strategies exist: Buffer (accumulate with threshold triggers, risk unbounded memory), Drop (discard excess), Latest (keep only most recent), and Error (signal failure on overflow). Key architectural insight: backpressure must be designed into systems from the start—retrofitting it is much harder.
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@ -35,13 +35,19 @@ This was a play-money experiment, which is the primary confound. Real-money futa
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ORE's HNT-ORE boost proposal demonstrates futarchy's strength in relative selection: the market validated HNT as the next liquidity pair to boost relative to other candidates (ISC already had a boost at equivalent multiplier), but the proposal does not require absolute prediction of HNT's future price or utility—only that HNT is a better strategic choice than alternatives. The proposal passed by market consensus on relative positioning (HNT as flagship DePIN project post-HIP-138), not by predicting absolute HNT performance metrics.
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### Additional Evidence (confirm)
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*Source: [[2024-11-25-futardio-proposal-launch-a-boost-for-hnt-ore]] | Added: 2026-03-16*
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ORE's three-tier boost multiplier system (vanilla stake, critical pairs, extended pairs) demonstrates futarchy's strength at relative ranking. The proposal doesn't require markets to predict absolute HNT-ORE liquidity outcomes, only to rank this boost against alternatives. Future proposals apply to tiers as wholes, further simplifying the ordinal comparison task.
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Relevant Notes:
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- [[MetaDAOs futarchy implementation shows limited trading volume in uncontested decisions.md]]
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- [[speculative markets aggregate information through incentive and selection effects not wisdom of crowds.md]]
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- [[optimal governance requires mixing mechanisms because different decisions have different manipulation risk profiles.md]]
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- MetaDAOs futarchy implementation shows limited trading volume in uncontested decisions.md
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- speculative markets aggregate information through incentive and selection effects not wisdom of crowds.md
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- optimal governance requires mixing mechanisms because different decisions have different manipulation risk profiles.md
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Topics:
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- [[domains/internet-finance/_map]]
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- [[foundations/collective-intelligence/_map]]
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- domains/internet-finance/_map
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- foundations/collective-intelligence/_map
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@ -11,6 +11,12 @@ created: 2026-03-15
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The Drift proposal establishes a 2/3 multisig execution group (metaprophet, Sumatt, Lmvdzande) to distribute the 50,000 DRIFT budget according to the outlined rules. Critically, the proposal grants this group discretion in two areas: (1) determining 'exact criteria' for the activity pool to filter non-organic participation, and (2) deciding which proposals qualify if successful proposals exceed the budget. The group also receives 3,000 DRIFT for their work and has authority to return excess funds to the treasury. This structure acknowledges that pure algorithmic distribution fails when faced with gaming, ambiguous cases, or unforeseen circumstances. The multisig provides a credible commitment mechanism - the proposal passes based on general principles, but execution requires human judgment. The group composition (known futarchy advocates) provides reputational accountability.
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### Additional Evidence (confirm)
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*Source: [[2024-12-19-futardio-proposal-allocate-50000-drift-to-fund-the-drift-ai-agent-request-for]] | Added: 2026-03-16*
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The Drift proposal explicitly states 'All grant decisions are at the discretion of the decision council and any such decisions made by the decision council are final.' This creates a hybrid structure where futarchy approves the program budget but a committee controls individual allocations, demonstrating the pattern of discretionary override for operational decisions.
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@ -28,10 +28,16 @@ The single data point is limited. One passed proposal doesn't establish a reliab
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### Additional Evidence (extend)
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*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's fee increase proposal included switching quote token from mSOL back to SOL, a decision with no direct revenue impact but potential effects on user experience and composability. The futarchy market approved this alongside the fee changes, suggesting it priced the operational simplification and ecosystem alignment as net positive for token value despite being a 'cultural' rather than purely financial decision.
|
||||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2024-11-25-futardio-proposal-launch-a-boost-for-hnt-ore]] | Added: 2026-03-16*
|
||||
|
||||
The HNT-ORE boost proposal frames strategic partnership value through liquidity network effects and brand positioning ('flagship DePIN project', 'competitive unit of account for real world assets'). Markets must price whether Helium association increases ORE's perceived legitimacy and network depth, demonstrating futarchy's ability to evaluate partnership proposals with significant intangible components.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -45,13 +45,13 @@ However, this case provides concrete evidence that [[futarchy adoption faces fri
|
|||
|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*Source: [[2024-08-27-futardio-proposal-fund-the-drift-superteam-earn-creator-competition]] | Added: 2026-03-15*
|
||||
*Source: 2024-08-27-futardio-proposal-fund-the-drift-superteam-earn-creator-competition | Added: 2026-03-15*
|
||||
|
||||
Drift's $8,250 creator competition proposal failed despite having clear upside potential (community engagement, content generation, B.E.T awareness) and minimal downside risk. The proposal offered a structured prize pool across multiple tracks (video, Twitter threads, trade ideas) with established evaluation criteria, yet still failed to generate sufficient market participation. This is a canonical example of participation friction killing an economically sensible proposal.
|
||||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2024-12-02-futardio-proposal-approve-deans-list-treasury-management]] | Added: 2026-03-15*
|
||||
*Source: 2024-12-02-futardio-proposal-approve-deans-list-treasury-management | Added: 2026-03-15*
|
||||
|
||||
Dean's List treasury proposal passed despite requiring active market participation to price a 40 percentage point survival probability improvement. The proposal explicitly calculated that potential FDV increase (5-20%) exceeded the 3% TWAP threshold, suggesting the economics were clearly favorable yet still required formal market validation.
|
||||
|
||||
|
|
@ -61,6 +61,12 @@ Dean's List treasury proposal passed despite requiring active market participati
|
|||
|
||||
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*
|
||||
|
||||
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.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -38,10 +38,16 @@ The mechanism depends on futarchy-specific conditions (short duration, governanc
|
|||
|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*Source: [[2024-01-24-futardio-proposal-develop-amm-program-for-futarchy]] | Added: 2026-03-16*
|
||||
*Source: 2024-01-24-futardio-proposal-develop-amm-program-for-futarchy | Added: 2026-03-16*
|
||||
|
||||
MetaDAO's AMM proposal sets fees at 3-5% explicitly to 'both: encourage LPs, and aggressively discourage wash-trading and manipulation.' The mechanism works because high fees make price manipulation through wash trading expensive while creating strong incentives for liquidity provision.
|
||||
|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*Source: [[2025-01-14-futardio-proposal-should-deans-list-dao-update-the-liquidity-fee-structure]] | Added: 2026-03-16*
|
||||
|
||||
Dean's List DAO increased swap fees from 0.25% to 5% base (up to 10%) specifically to create a tiered market structure where large trades accept higher fees for deep liquidity while small trades use individual LP pools with lower fees. The proposal explicitly states this creates 'earning opportunities for DAO contributors' through the fee differential, with projected annual treasury growth of $19,416-$24,960 despite expected 20-30% volume decrease.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -32,16 +32,22 @@ The source presents no failure cases despite eight ICOs, which suggests either s
|
|||
|
||||
|
||||
### Additional Evidence (extend)
|
||||
*Source: [[2025-10-14-futardio-launch-avici]] | Added: 2026-03-15*
|
||||
*Source: 2025-10-14-futardio-launch-avici | Added: 2026-03-15*
|
||||
|
||||
Avici achieved 17x oversubscription ($34.2M committed vs $2M target), exceeding the previously documented 15x benchmark and demonstrating continued strong market demand for futarchy-governed raises.
|
||||
|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*Source: [[2025-10-18-futardio-launch-loyal]] | Added: 2026-03-15*
|
||||
*Source: 2025-10-18-futardio-launch-loyal | Added: 2026-03-15*
|
||||
|
||||
Loyal's fundraise achieved 151x oversubscription ($75.9M committed vs $500K target), far exceeding the previously documented 15x pattern. The final raise settled at $2.5M, suggesting the platform's conditional market mechanisms successfully filtered commitment from actual capital deployment.
|
||||
|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*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.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -28,6 +28,12 @@ The convergence toward lower volatility in recent launches (maximum 30% drawdown
|
|||
## Limitations
|
||||
The lower volatility in recent launches could reflect declining speculative interest rather than superior price discovery. The capital efficiency problem may be solvable through secondary markets for subscription rights or through hybrid mechanisms that combine pro-rata allocation with price discovery. This analysis is based on a single source and limited to 8 data points, warranting experimental confidence.
|
||||
|
||||
|
||||
### Additional Evidence (confirm)
|
||||
*Source: [[2025-11-14-futardio-launch-solomon]] | Added: 2026-03-16*
|
||||
|
||||
Solomon's 51x oversubscription ($102.9M committed vs $8M accepted) required returning $94.9M to participants, demonstrating the capital inefficiency of oversubscribed raises even when the platform caps final acceptance.
|
||||
|
||||
---
|
||||
|
||||
Relevant Notes:
|
||||
|
|
|
|||
|
|
@ -37,6 +37,7 @@ The team includes crypticmeta (Solana/Bitcoin developer, previously built Ordina
|
|||
- **2026-03-03** — Futardio fundraise launched: $200K target, 24-hour window, raised $158,067 before refunding
|
||||
- **2026-03-04** — Fundraise closed in refunding status (did not reach $200K minimum)
|
||||
|
||||
- **2026-01-01** — Launched $125,000 USDC raise on Futardio with 72-hour window. Token supply: 15.9M max (10M ICO, 2.9M liquidity, 3M team). Monthly allowance: $10,000. First CAPEX proposal: $50K for 3 growing rooms, accommodation, DG set. Team: crypticmeta (Solana/Bitcoin dev, OrdinalNovus $30M volume) + Ram (5+ years mushroom production). Performance-based team vesting: 5 tranches at 2x/4x/8x/16x/32x ICO price via 3-month TWAP, 18-month minimum cliff. All operations published to Arweave for transparency.
|
||||
## Governance Structure
|
||||
|
||||
Treasury control enforced through:
|
||||
|
|
|
|||
|
|
@ -0,0 +1,27 @@
|
|||
{
|
||||
"rejected_claims": [
|
||||
{
|
||||
"filename": "algorithmic-content-optimization-pressure-is-mediated-by-revenue-model-not-algorithm-design.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
}
|
||||
],
|
||||
"validation_stats": {
|
||||
"total": 1,
|
||||
"kept": 0,
|
||||
"fixed": 4,
|
||||
"rejected": 1,
|
||||
"fixes_applied": [
|
||||
"algorithmic-content-optimization-pressure-is-mediated-by-revenue-model-not-algorithm-design.md:set_created:2026-03-16",
|
||||
"algorithmic-content-optimization-pressure-is-mediated-by-revenue-model-not-algorithm-design.md:stripped_wiki_link:content-serving-commercial-functions-can-simultaneously-serv",
|
||||
"algorithmic-content-optimization-pressure-is-mediated-by-revenue-model-not-algorithm-design.md:stripped_wiki_link:creator-owned-direct-subscription-platforms-produce-qualitat",
|
||||
"algorithmic-content-optimization-pressure-is-mediated-by-revenue-model-not-algorithm-design.md:stripped_wiki_link:established-creators-generate-more-revenue-from-owned-stream"
|
||||
],
|
||||
"rejections": [
|
||||
"algorithmic-content-optimization-pressure-is-mediated-by-revenue-model-not-algorithm-design.md:missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
"model": "anthropic/claude-sonnet-4.5",
|
||||
"date": "2026-03-16"
|
||||
}
|
||||
|
|
@ -0,0 +1,32 @@
|
|||
{
|
||||
"rejected_claims": [
|
||||
{
|
||||
"filename": "pace-50-year-failure-to-scale-proves-structural-barriers-prevent-attractor-state-despite-model-success.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
{
|
||||
"filename": "for-profit-pace-entry-signals-potential-scaling-inflection-through-capital-and-operational-capacity.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
}
|
||||
],
|
||||
"validation_stats": {
|
||||
"total": 2,
|
||||
"kept": 0,
|
||||
"fixed": 2,
|
||||
"rejected": 2,
|
||||
"fixes_applied": [
|
||||
"pace-50-year-failure-to-scale-proves-structural-barriers-prevent-attractor-state-despite-model-success.md:set_created:2026-03-16",
|
||||
"for-profit-pace-entry-signals-potential-scaling-inflection-through-capital-and-operational-capacity.md:set_created:2026-03-16"
|
||||
],
|
||||
"rejections": [
|
||||
"pace-50-year-failure-to-scale-proves-structural-barriers-prevent-attractor-state-despite-model-success.md:missing_attribution_extractor",
|
||||
"for-profit-pace-entry-signals-potential-scaling-inflection-through-capital-and-operational-capacity.md:missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
"model": "anthropic/claude-sonnet-4.5",
|
||||
"date": "2026-03-16"
|
||||
}
|
||||
|
|
@ -0,0 +1,40 @@
|
|||
{
|
||||
"rejected_claims": [
|
||||
{
|
||||
"filename": "futarchy-governance-proposal-volume-scales-with-ecosystem-size-not-just-decision-complexity.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
{
|
||||
"filename": "futarchy-governed-ico-platforms-demonstrate-counter-cyclical-growth-as-product-market-fit-signal.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
{
|
||||
"filename": "futarchy-amm-plus-lp-fee-revenue-model-achieves-profitability-at-moderate-scale.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
}
|
||||
],
|
||||
"validation_stats": {
|
||||
"total": 3,
|
||||
"kept": 0,
|
||||
"fixed": 3,
|
||||
"rejected": 3,
|
||||
"fixes_applied": [
|
||||
"futarchy-governance-proposal-volume-scales-with-ecosystem-size-not-just-decision-complexity.md:set_created:2026-03-16",
|
||||
"futarchy-governed-ico-platforms-demonstrate-counter-cyclical-growth-as-product-market-fit-signal.md:set_created:2026-03-16",
|
||||
"futarchy-amm-plus-lp-fee-revenue-model-achieves-profitability-at-moderate-scale.md:set_created:2026-03-16"
|
||||
],
|
||||
"rejections": [
|
||||
"futarchy-governance-proposal-volume-scales-with-ecosystem-size-not-just-decision-complexity.md:missing_attribution_extractor",
|
||||
"futarchy-governed-ico-platforms-demonstrate-counter-cyclical-growth-as-product-market-fit-signal.md:missing_attribution_extractor",
|
||||
"futarchy-amm-plus-lp-fee-revenue-model-achieves-profitability-at-moderate-scale.md:missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
"model": "anthropic/claude-sonnet-4.5",
|
||||
"date": "2026-03-16"
|
||||
}
|
||||
|
|
@ -0,0 +1,47 @@
|
|||
{
|
||||
"rejected_claims": [
|
||||
{
|
||||
"filename": "rlcf-sidesteps-arrows-impossibility-by-rewarding-bridging-output-not-aggregating-preferences.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
{
|
||||
"filename": "democratic-alignment-through-bridging-consensus-scales-to-national-policy-with-months-long-timelines.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
{
|
||||
"filename": "attentiveness-as-alignment-paradigm-gives-citizens-genuine-power-to-steer-technology-through-three-mutually-reinforcing-mechanisms.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
}
|
||||
],
|
||||
"validation_stats": {
|
||||
"total": 3,
|
||||
"kept": 0,
|
||||
"fixed": 10,
|
||||
"rejected": 3,
|
||||
"fixes_applied": [
|
||||
"rlcf-sidesteps-arrows-impossibility-by-rewarding-bridging-output-not-aggregating-preferences.md:set_created:2026-03-16",
|
||||
"rlcf-sidesteps-arrows-impossibility-by-rewarding-bridging-output-not-aggregating-preferences.md:stripped_wiki_link:universal-alignment-is-mathematically-impossible-because-arr",
|
||||
"rlcf-sidesteps-arrows-impossibility-by-rewarding-bridging-output-not-aggregating-preferences.md:stripped_wiki_link:rlhf-and-dpo-both-fail-at-preference-diversity-because-they-",
|
||||
"rlcf-sidesteps-arrows-impossibility-by-rewarding-bridging-output-not-aggregating-preferences.md:stripped_wiki_link:pluralistic-alignment-must-accommodate-irreducibly-diverse-v",
|
||||
"democratic-alignment-through-bridging-consensus-scales-to-national-policy-with-months-long-timelines.md:set_created:2026-03-16",
|
||||
"democratic-alignment-through-bridging-consensus-scales-to-national-policy-with-months-long-timelines.md:stripped_wiki_link:democratic-alignment-assemblies-produce-constitutions-as-eff",
|
||||
"attentiveness-as-alignment-paradigm-gives-citizens-genuine-power-to-steer-technology-through-three-mutually-reinforcing-mechanisms.md:set_created:2026-03-16",
|
||||
"attentiveness-as-alignment-paradigm-gives-citizens-genuine-power-to-steer-technology-through-three-mutually-reinforcing-mechanisms.md:stripped_wiki_link:ai-alignment-is-a-coordination-problem-not-a-technical-probl",
|
||||
"attentiveness-as-alignment-paradigm-gives-citizens-genuine-power-to-steer-technology-through-three-mutually-reinforcing-mechanisms.md:stripped_wiki_link:no-research-group-is-building-alignment-through-collective-i",
|
||||
"attentiveness-as-alignment-paradigm-gives-citizens-genuine-power-to-steer-technology-through-three-mutually-reinforcing-mechanisms.md:stripped_wiki_link:transparent-algorithmic-governance-where-ai-response-rules-a"
|
||||
],
|
||||
"rejections": [
|
||||
"rlcf-sidesteps-arrows-impossibility-by-rewarding-bridging-output-not-aggregating-preferences.md:missing_attribution_extractor",
|
||||
"democratic-alignment-through-bridging-consensus-scales-to-national-policy-with-months-long-timelines.md:missing_attribution_extractor",
|
||||
"attentiveness-as-alignment-paradigm-gives-citizens-genuine-power-to-steer-technology-through-three-mutually-reinforcing-mechanisms.md:missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
"model": "anthropic/claude-sonnet-4.5",
|
||||
"date": "2026-03-16"
|
||||
}
|
||||
|
|
@ -0,0 +1,27 @@
|
|||
{
|
||||
"rejected_claims": [
|
||||
{
|
||||
"filename": "ai-authorship-creates-moral-disgust-response-in-emotionally-meaningful-contexts-regardless-of-content-quality.md",
|
||||
"issues": [
|
||||
"no_frontmatter"
|
||||
]
|
||||
}
|
||||
],
|
||||
"validation_stats": {
|
||||
"total": 1,
|
||||
"kept": 0,
|
||||
"fixed": 4,
|
||||
"rejected": 1,
|
||||
"fixes_applied": [
|
||||
"ai-authorship-creates-moral-disgust-response-in-emotionally-meaningful-contexts-regardless-of-content-quality.md:set_created:2026-03-16",
|
||||
"ai-authorship-creates-moral-disgust-response-in-emotionally-meaningful-contexts-regardless-of-content-quality.md:stripped_wiki_link:consumer-acceptance-of-ai-creative-content-declining-despite",
|
||||
"ai-authorship-creates-moral-disgust-response-in-emotionally-meaningful-contexts-regardless-of-content-quality.md:stripped_wiki_link:consumer-ai-acceptance-diverges-by-use-case-with-creative-wo",
|
||||
"ai-authorship-creates-moral-disgust-response-in-emotionally-meaningful-contexts-regardless-of-content-quality.md:stripped_wiki_link:GenAI adoption in entertainment will be gated by consumer ac"
|
||||
],
|
||||
"rejections": [
|
||||
"ai-authorship-creates-moral-disgust-response-in-emotionally-meaningful-contexts-regardless-of-content-quality.md:no_frontmatter"
|
||||
]
|
||||
},
|
||||
"model": "anthropic/claude-sonnet-4.5",
|
||||
"date": "2026-03-16"
|
||||
}
|
||||
|
|
@ -0,0 +1,40 @@
|
|||
{
|
||||
"rejected_claims": [
|
||||
{
|
||||
"filename": "historical-entertainment-technology-transitions-produce-35-percent-revenue-contraction-for-incumbents-within-five-years.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
{
|
||||
"filename": "ai-production-efficiency-gains-accrue-primarily-to-distributors-not-producers-because-of-structural-market-dynamics.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
{
|
||||
"filename": "fix-it-in-pre-workflow-shift-reallocates-value-from-post-production-to-pre-production-and-distributors.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
}
|
||||
],
|
||||
"validation_stats": {
|
||||
"total": 3,
|
||||
"kept": 0,
|
||||
"fixed": 3,
|
||||
"rejected": 3,
|
||||
"fixes_applied": [
|
||||
"historical-entertainment-technology-transitions-produce-35-percent-revenue-contraction-for-incumbents-within-five-years.md:set_created:2026-03-16",
|
||||
"ai-production-efficiency-gains-accrue-primarily-to-distributors-not-producers-because-of-structural-market-dynamics.md:set_created:2026-03-16",
|
||||
"fix-it-in-pre-workflow-shift-reallocates-value-from-post-production-to-pre-production-and-distributors.md:set_created:2026-03-16"
|
||||
],
|
||||
"rejections": [
|
||||
"historical-entertainment-technology-transitions-produce-35-percent-revenue-contraction-for-incumbents-within-five-years.md:missing_attribution_extractor",
|
||||
"ai-production-efficiency-gains-accrue-primarily-to-distributors-not-producers-because-of-structural-market-dynamics.md:missing_attribution_extractor",
|
||||
"fix-it-in-pre-workflow-shift-reallocates-value-from-post-production-to-pre-production-and-distributors.md:missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
"model": "anthropic/claude-sonnet-4.5",
|
||||
"date": "2026-03-16"
|
||||
}
|
||||
|
|
@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/2QUxbiMkDtoKxY2u6kXuevfMsqKGtHNxMFYHVWbqRK1
|
|||
date: 2024-11-25
|
||||
domain: internet-finance
|
||||
format: data
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
tags: [futardio, metadao, futarchy, solana, governance]
|
||||
event_type: proposal
|
||||
processed_by: rio
|
||||
|
|
@ -14,6 +14,10 @@ processed_date: 2026-03-11
|
|||
enrichments_applied: ["futarchy-excels-at-relative-selection-but-fails-at-absolute-prediction-because-ordinal-ranking-works-while-cardinal-estimation-requires-calibration.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
extraction_notes: "Futardio proposal for ORE-HNT liquidity boost. Primary extraction: three new entities (ORE protocol, decision_market for the proposal, Helium). Two enrichments showing futarchy governance patterns: three-tier boost system as governance simplification mechanism, and strategic partnership evaluation through conditional markets. No novel claims — the proposal demonstrates existing futarchy mechanisms in practice rather than introducing new theoretical insights."
|
||||
processed_by: rio
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["futarchy-excels-at-relative-selection-but-fails-at-absolute-prediction-because-ordinal-ranking-works-while-cardinal-estimation-requires-calibration.md", "futarchy-markets-can-price-cultural-spending-proposals-by-treating-community-cohesion-and-brand-equity-as-token-price-inputs.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Proposal Details
|
||||
|
|
@ -71,3 +75,12 @@ With the passing of this proposal, we would introduce a new boost with the same
|
|||
- HNT-ORE boost uses Kamino kTokens representing concentrated liquidity positions on Orca
|
||||
- ORE three-tier boost system: Tier 1 (vanilla stake), Tier 2 (SOL-ORE, USDC-ORE), Tier 3 (ISC-ORE, HNT-ORE)
|
||||
- Helium HIP-138 consolidated network tokenomics around HNT as primary token
|
||||
|
||||
|
||||
## Key Facts
|
||||
- ORE proposal 2QUxbiMkDtoKxY2u6kXuevfMsqKGtHNxMFYHVWbqRK1A passed 2024-11-28
|
||||
- HNT-ORE boost uses Kamino kTokens representing concentrated liquidity positions on Orca
|
||||
- ORE three-tier boost system: Tier 1 (vanilla stake), Tier 2 (SOL-ORE, USDC-ORE), Tier 3 (ISC-ORE, HNT-ORE)
|
||||
- Helium HIP-138 consolidated network tokenomics around HNT as primary token
|
||||
- ORE's strategic goal is building deep liquidity network for all real world assets on Solana
|
||||
- ORE focuses exclusively on tokenized commodities and DePIN credits
|
||||
|
|
|
|||
|
|
@ -6,9 +6,13 @@ url: "https://www.futard.io/proposal/A74H61YqwsbwRczuErbUyh9kqG1A7ZbiE1W5hWZmT9f
|
|||
date: 2024-12-19
|
||||
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: ["futarchy-incentive-programs-use-multisig-execution-groups-as-discretionary-override.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Proposal Details
|
||||
|
|
@ -133,3 +137,13 @@ This comes at a cost of 50k DRIFT tokens to the foundation.
|
|||
- Autocrat version: 0.3
|
||||
- Completed: 2024-12-22
|
||||
- Ended: 2024-12-22
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Drift AI Agents RFG allocated 50,000 DRIFT total for grants
|
||||
- Individual grant amounts range from 10,000-20,000 DRIFT
|
||||
- Application deadline set for March 1st, 2025
|
||||
- Unused grants returned to foundation after deadline
|
||||
- Proposal passed on December 22, 2024
|
||||
- Grant deployment requires KYC for regulatory compliance
|
||||
- Target areas include trading agents, yield agents, information agents, and social agents
|
||||
|
|
|
|||
|
|
@ -7,10 +7,14 @@ date: 2025-01-01
|
|||
domain: entertainment
|
||||
secondary_domains: [ai-alignment]
|
||||
format: academic-article
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: medium
|
||||
tags: [algorithmic-pressure, content-creation, creative-freedom, platform-dependency, storytelling-quality]
|
||||
flagged_for_theseus: ["Algorithmic shaping of creative expression — parallels with AI alignment concerns about optimization pressure distorting human values"]
|
||||
processed_by: clay
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["content-serving-commercial-functions-can-simultaneously-serve-meaning-functions-when-revenue-model-rewards-relationship-depth.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -42,3 +46,11 @@ Counterpoint evidence:
|
|||
PRIMARY CONNECTION: [[meme propagation selects for simplicity novelty and conformity pressure rather than truth or utility]]
|
||||
WHY ARCHIVED: Academic evidence that algorithmic pressure degrades creative expression, BUT the pressure is mediated by revenue model — creators who escape ad-supported dependency escape the pressure
|
||||
EXTRACTION HINT: The key variable is REVENUE MODEL, not ALGORITHM. Algorithms are the mechanism, but the revenue model determines whether the algorithm controls creative decisions. Content-as-loss-leader, subscription, and owned-platform models all insulate creators from algorithmic creative pressure.
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Systematic review published in Work, Employment and Society (SAGE Journals), January 2025
|
||||
- Authors: Yin Liang, Jiaming Li, Jeremy Aroles, Edward Granter
|
||||
- Review covers full academic literature on algorithmic impacts on creative work
|
||||
- LinkedIn algorithm now emphasizes authentic professional storytelling over promotional content
|
||||
- LinkedIn algorithm actively demotes content with excessive hashtags, external links in post text, and engagement baiting
|
||||
|
|
|
|||
|
|
@ -6,9 +6,13 @@ url: "https://www.futard.io/proposal/B8WLuXqoBb3hRD9XBCNuSqxDqCXCixqRdKR4pVFGzNP
|
|||
date: 2025-01-14
|
||||
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: ["high-fee-amms-create-lp-incentive-and-manipulation-deterrent-simultaneously-by-making-passive-provision-profitable-and-active-trading-expensive.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
|
||||
|
|
@ -165,3 +169,13 @@ Current MCAP will be -5% of the MCAP at the time of the proposal to account for
|
|||
- Autocrat version: 0.3
|
||||
- Completed: 2025-01-17
|
||||
- Ended: 2025-01-17
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Dean's List DAO had ~$80,000 treasury and $298,889 MCAP as of January 11, 2025
|
||||
- Dean's List DAO monthly trading volume was 46,228 USDC (Dec 6 - Jan 6)
|
||||
- Current 0.25% fee generated ~3.85 USDC daily revenue
|
||||
- Proposed 5% fee would generate ~77 USDC daily at current volume
|
||||
- Proposal used -5% MCAP buffer to account for volatility: $314,620 - $15,731 = $298,889
|
||||
- Pass threshold set at current MCAP + 3% = $307,855
|
||||
- Proposal also changed quote token from mSOL back to SOL
|
||||
|
|
|
|||
|
|
@ -7,9 +7,13 @@ date: 2025-03-17
|
|||
domain: health
|
||||
secondary_domains: []
|
||||
format: report
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: high
|
||||
tags: [pace, all-inclusive-care, elderly, capitated-care, scaling-barriers, for-profit, integrated-care]
|
||||
processed_by: vida
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["the healthcare attractor state is a prevention-first system where aligned payment continuous monitoring and AI-augmented care delivery create a flywheel that profits from health rather than sickness.md", "value-based care transitions stall at the payment boundary because 60 percent of payments touch value metrics but only 14 percent bear full risk.md", "pace-demonstrates-integrated-care-averts-institutionalization-through-community-based-delivery-not-cost-reduction.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -69,3 +73,12 @@ tags: [pace, all-inclusive-care, elderly, capitated-care, scaling-barriers, for-
|
|||
PRIMARY CONNECTION: [[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]]
|
||||
WHY ARCHIVED: PACE is the strongest counter-evidence and supporting evidence simultaneously — it proves the model works AND that structural barriers prevent scaling. Essential for honest distance measurement.
|
||||
EXTRACTION HINT: The 0.13% penetration after 50 years is the key number. Compare to MA's 54% — what does the gap reveal about what actually scales in US healthcare?
|
||||
|
||||
|
||||
## Key Facts
|
||||
- PACE serves individuals 55+ needing nursing home-level care through government funding
|
||||
- PACE average member: 76 years old, 7+ chronic conditions, nursing-home eligible
|
||||
- Nearly half of PACE enrollees served by 10 largest parent organizations
|
||||
- Only 13 states have 1,000+ PACE enrollees
|
||||
- Most PACE parent organizations operate single program in one state
|
||||
- PACE eligibility contingent on Medicare + Medicaid dual status
|
||||
|
|
|
|||
|
|
@ -6,9 +6,13 @@ url: "https://www.futard.io/launch/634r63NH2qbTrSVyLieC3Ab3YKaEfoGnCLM8idZMEycE"
|
|||
date: 2025-11-14
|
||||
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", "pro-rata-ico-allocation-creates-capital-inefficiency-through-massive-oversubscription-refunds.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Launch Details
|
||||
|
|
@ -69,3 +73,14 @@ Solomon is the first stablecoin system that can sit everywhere money sits. Walle
|
|||
- Version: v0.6
|
||||
- Final raise: $8,000,000.00
|
||||
- Closed: 2025-11-18
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Solomon raised $102,932,673.08 committed against $2M target on futard.io
|
||||
- Solomon closed at $8M final raise on 2025-11-18
|
||||
- Solomon's raise structure: 20% of gross to MetaDAO for token liquidity, 80% nets to Solomon DAO treasury
|
||||
- Solomon ran closed beta for one year with seven-figure TVL before public launch
|
||||
- Solomon custody is segregated with Ceffu and carries insurance coverage
|
||||
- Solomon Solana programs are audited with admin operations via Squads multisig
|
||||
- Solomon survived October 10, 2024 Binance price dislocation with zero incidents
|
||||
- Solomon's basis trade strategy targets ~16% APR on treasury capital
|
||||
|
|
|
|||
|
|
@ -6,8 +6,12 @@ url: https://www.javacodegeeks.com/2025/12/reactive-programming-paradigms-master
|
|||
date: 2025-12-01
|
||||
domain: internet-finance
|
||||
format: essay
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
tags: [pipeline-architecture, backpressure, reactive-streams, flow-control, producer-consumer]
|
||||
processed_by: rio
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["backpressure-prevents-pipeline-failure-by-creating-feedback-loop-between-consumer-capacity-and-producer-rate.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
# Reactive Programming Paradigms: Mastering Backpressure and Stream Processing
|
||||
|
|
@ -29,3 +33,9 @@ Practitioner guide to implementing backpressure in reactive stream processing sy
|
|||
## Relevance to Teleo Pipeline
|
||||
|
||||
Our pipeline currently has NO backpressure. Extract produces PRs that accumulate in eval's queue without any feedback mechanism. If research dumps 20 sources, extraction creates 20 PRs, and eval drowns trying to process them all. We need a "buffer + rate limit" strategy: extraction should check eval queue depth before starting new work, and slow down or pause when eval is backlogged.
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Reactive Streams standard defines Publisher/Subscriber/Subscription interfaces for demand-based flow control
|
||||
- Four backpressure strategies: Buffer, Drop, Latest, Error
|
||||
- Practical implementations include Project Reactor (Spring WebFlux), Akka Streams, RxJava
|
||||
|
|
|
|||
|
|
@ -7,9 +7,13 @@ date: 2025-12-00
|
|||
domain: internet-finance
|
||||
secondary_domains: []
|
||||
format: article
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: high
|
||||
tags: [metadao, futarchy, ownership-coins, revenue, ICO, quarterly-report]
|
||||
processed_by: rio
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["MetaDAOs futarchy implementation shows limited trading volume in uncontested decisions.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"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -63,3 +67,18 @@ Pine Analytics Q4 2025 quarterly report for MetaDAO. Key metrics:
|
|||
PRIMARY CONNECTION: [[MetaDAOs futarchy implementation shows limited trading volume in uncontested decisions]]
|
||||
WHY ARCHIVED: Q4 2025 data shows 17.5x proposal volume increase, contradicting the "limited engagement" claim. Counter-cyclical growth pattern is strong evidence for ownership coin thesis.
|
||||
EXTRACTION HINT: Focus on (1) proposal volume scaling as evidence against limited engagement, (2) counter-cyclical growth as product-market fit evidence, (3) revenue model validation (first profitable quarter).
|
||||
|
||||
|
||||
## Key Facts
|
||||
- MetaDAO Q4 2025 total protocol fees: $2.51M
|
||||
- MetaDAO Q4 2025 operating expenses: ~$783K
|
||||
- MetaDAO Q4 2025 ICO launches: 6 projects
|
||||
- MetaDAO Q4 2025 ICO volume: $18.7M raised
|
||||
- MetaDAO total futarchy marketcap Q4 2025: $219M
|
||||
- MetaDAO non-META futarchy marketcap Q4 2025: $69M
|
||||
- MetaDAO governance proposal volume Q4 2025: $3.6M (up from $205K in Q3)
|
||||
- Crypto marketcap Q4 2025: fell 25% from $4T to $2.98T
|
||||
- Metaplex Genesis Q4 2025: 3 launches raising $5.4M (down from 5/$7.53M in Q3)
|
||||
- MetaDAO ecosystem protocols Q4 2025: expanded from 2 to 8 active futarchy protocols
|
||||
- MetaDAO balance sheet equity Q4 end: $16.5M (up from $4M in Q3)
|
||||
- MetaDAO runway: 15+ quarters at current burn rate
|
||||
|
|
|
|||
|
|
@ -7,9 +7,13 @@ date: 2025-12-23
|
|||
domain: health
|
||||
secondary_domains: [internet-finance]
|
||||
format: paper
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: high
|
||||
tags: [glp-1, semaglutide, hospitalization, cardiovascular, SELECT-trial, cost-offset]
|
||||
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"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -36,3 +40,12 @@ Median age 61.0 years; 27.7% female; median BMI 32.1.
|
|||
PRIMARY CONNECTION: [[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]]
|
||||
WHY ARCHIVED: All-cause hospitalization reduction is the most economically relevant outcome for risk-bearing payers and the strongest evidence that GLP-1s could be cost-saving under capitation
|
||||
EXTRACTION HINT: Focus on the all-cause hospitalization signal (not just CV) — this is what makes GLP-1s relevant to VBC economics beyond cardiology
|
||||
|
||||
|
||||
## Key Facts
|
||||
- SELECT trial: N=17,604 patients with obesity and established CVD, median follow-up 41.8 months
|
||||
- Median age 61.0 years, 27.7% female, median BMI 32.1
|
||||
- Total hospitalizations: 18.3 vs 20.4 per 100 patient-years (mean ratio 0.90, P<.001)
|
||||
- Hospitalizations for serious adverse events: 15.2 vs 17.1 per 100 patient-years (mean ratio 0.89, P<.001)
|
||||
- Days hospitalized: 157.2 vs 176.2 per 100 patient-years (rate ratio 0.89, P=.01)
|
||||
- Published in JAMA Cardiology as prespecified exploratory analysis
|
||||
|
|
|
|||
|
|
@ -7,10 +7,14 @@ date: 2026-01-01
|
|||
domain: ai-alignment
|
||||
secondary_domains: [collective-intelligence, mechanisms]
|
||||
format: article
|
||||
status: unprocessed
|
||||
status: null-result
|
||||
priority: high
|
||||
tags: [rlcf, bridging-consensus, polis, democratic-alignment, attentiveness, community-feedback]
|
||||
flagged_for_rio: ["RLCF as mechanism design — bridging algorithms are formally a mechanism design problem"]
|
||||
processed_by: theseus
|
||||
processed_date: 2026-03-16
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
extraction_notes: "LLM returned 3 claims, 3 rejected by validator"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -55,3 +59,12 @@ The framework emphasizes integrity infrastructure including oversight by citizen
|
|||
PRIMARY CONNECTION: [[RLHF and DPO both fail at preference diversity because they assume a single reward function can capture context-dependent human values]]
|
||||
WHY ARCHIVED: RLCF is the first mechanism I've seen that might structurally handle preference diversity without hitting Arrow's impossibility — the constructive alternative our KB needs
|
||||
EXTRACTION HINT: Focus on (1) whether RLCF formally sidesteps Arrow's theorem and (2) the Taiwan evidence as democratic alignment at policy scale
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Audrey Tang is Taiwan's cyber ambassador and first digital minister, 2025 Right Livelihood Laureate
|
||||
- Taiwan's AI scam content legislation involved 447 randomly selected citizens
|
||||
- The Taiwan deliberative process achieved unanimous parliamentary support within months
|
||||
- Polis performs real-time analysis of public votes to identify bridging consensus
|
||||
- RLCF stands for Reinforcement Learning from Community Feedback
|
||||
- Tang's framework includes three mechanisms: industry norms, market design, and community-scale assistants
|
||||
|
|
|
|||
|
|
@ -6,9 +6,13 @@ url: "https://www.futard.io/launch/BY1uzGNg8Yb5kPEhXrXA9VA4geHSpEdzBcTvPt7qWnpY"
|
|||
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 +29,11 @@ event_type: launch
|
|||
- Token: CUJ (CUJ)
|
||||
- Token mint: `CUJFz6v2hPgvvgEJ3YUxX4Mkt31d56JXRuyNMajLmeta`
|
||||
- Version: v0.7
|
||||
|
||||
|
||||
## Key Facts
|
||||
- CUJ launched on futard.io on 2026-01-01
|
||||
- CUJ funding target is $150,000
|
||||
- CUJ uses Autocrat v0.7
|
||||
- CUJ launch address: BY1uzGNg8Yb5kPEhXrXA9VA4geHSpEdzBcTvPt7qWnpY
|
||||
- CUJ token mint: CUJFz6v2hPgvvgEJ3YUxX4Mkt31d56JXRuyNMajLmeta
|
||||
|
|
|
|||
|
|
@ -6,9 +6,12 @@ url: "https://www.futard.io/launch/6JSEvdUfQuo8rh3M18Wex5xmSacUuBozz9uQEgFC81pX"
|
|||
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
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Launch Details
|
||||
|
|
@ -339,3 +342,13 @@ Website: https://git3.io
|
|||
- Token: 3xU (3xU)
|
||||
- Token mint: `3xUJRRsEQLiEjTJNnRBy56AAVB2bh9ba9s3DYeVAmeta`
|
||||
- Version: v0.7
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Git3 MVP is live at https://git3.io with terminal interface and GitHub integration
|
||||
- Git3 targets $50,000 funding for 5-month runway at $8,000/month burn rate
|
||||
- Git3 monthly burn breakdown: $5k team, $2k infrastructure, $1k marketing/ecosystem
|
||||
- Git3 uses Irys blockchain for permanent storage with 100K+ TPS performance
|
||||
- Git3 token: 3xU (mint: 3xUJRRsEQLiEjTJNnRBy56AAVB2bh9ba9s3DYeVAmeta)
|
||||
- Git3 roadmap: Phase 1 (MVP complete), Phase 2 (Q2-Q3 2025 NFT marketplace), Phase 3 (Q4 2025 $GIT3 token)
|
||||
- Git3 contact: hi@git3.io, Twitter @TryGit3
|
||||
|
|
|
|||
|
|
@ -6,9 +6,13 @@ url: "https://www.futard.io/launch/4Wm4NFVy9MKgSJe3ZT8aKwbL3dc5XxvnWdPhvC4Sinow"
|
|||
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
|
||||
|
|
@ -54,3 +58,11 @@ Replace every quantum crypto whitepaper with a picture of a waffle
|
|||
- Token: Ase (Ase)
|
||||
- Token mint: `Asea2u9y3iwm8nNJ9uRtyeHoLYUHNWR48NJNKGCpmeta`
|
||||
- Version: v0.7
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Quantum Waffle launched on Futardio 2026-01-01 seeking $50,000
|
||||
- Launch address: 4Wm4NFVy9MKgSJe3ZT8aKwbL3dc5XxvnWdPhvC4Sinow
|
||||
- Token mint: Asea2u9y3iwm8nNJ9uRtyeHoLYUHNWR48NJNKGCpmeta
|
||||
- Project describes itself as flappy bird clone with quantum branding
|
||||
- Futardio platform version: v0.7
|
||||
|
|
|
|||
|
|
@ -7,9 +7,13 @@ date: 2026-01-01
|
|||
domain: entertainment
|
||||
secondary_domains: [cultural-dynamics]
|
||||
format: report
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: high
|
||||
tags: [authenticity-premium, consumer-rejection, AI-content, trust-penalty, epistemic-anxiety]
|
||||
processed_by: clay
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["GenAI adoption in entertainment will be gated by consumer acceptance not technology capability.md", "consumer-acceptance-of-ai-creative-content-declining-despite-quality-improvements-because-authenticity-signal-becomes-more-valuable.md", "consumer-ai-acceptance-diverges-by-use-case-with-creative-work-facing-4x-higher-rejection-than-functional-applications.md", "human-made-is-becoming-a-premium-label-analogous-to-organic-as-AI-generated-content-becomes-dominant.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -40,3 +44,9 @@ O'Neill identifies contexts where authenticity premiums emerge most strongly: hi
|
|||
PRIMARY CONNECTION: [[GenAI adoption in entertainment will be gated by consumer acceptance not technology capability]]
|
||||
WHY ARCHIVED: Provides mechanism update for existing binding constraint claim — rejection is epistemic/moral, not aesthetic
|
||||
EXTRACTION HINT: Focus on the VALUES-BASED dimension of rejection and the "moral disgust" finding. This is a different mechanism than "consumers can't tell the difference."
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Deloitte 2024 Connected Consumer Survey found nearly 70% of respondents are concerned AI-generated content will be used to deceive them
|
||||
- Approximately half of consumers believe they can recognize AI-written content
|
||||
- McDonald's Netherlands Christmas ad production involved 10 people working full-time for five weeks before being pulled due to backlash
|
||||
|
|
|
|||
|
|
@ -7,9 +7,13 @@ date: 2026-01-01
|
|||
domain: entertainment
|
||||
secondary_domains: [teleological-economics]
|
||||
format: report
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: high
|
||||
tags: [AI-production, value-redistribution, cost-collapse, disruption-economics, film-industry]
|
||||
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", "media disruption follows two sequential phases as distribution moats fall first and creation moats fall second.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -52,3 +56,11 @@ Three major technology shifts each resulted in ~35% revenue contraction for incu
|
|||
PRIMARY CONNECTION: [[non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain]]
|
||||
WHY ARCHIVED: Authoritative financial projections ($60B redistribution, 35% contraction pattern) and the COUNTER-FINDING that distributors, not producers, capture most AI value
|
||||
EXTRACTION HINT: The distributor value capture finding is the most important — it complicates the "AI democratizes creation" narrative. Also: the 35% contraction pattern is a strong historical regularity worth claiming.
|
||||
|
||||
|
||||
## Key Facts
|
||||
- $60B annual revenue redistribution projected within five years of mass AI adoption in entertainment
|
||||
- $13.2B projected decline in US TV/film distribution revenues if open platforms capture additional 5% of viewing hours
|
||||
- $7.5B partial offset from increased open-platform revenues in same scenario
|
||||
- B5 Studios' Sean Bailey quoted: 'every single piece' of workflow from ideation to distribution will be significantly disrupted
|
||||
- McKinsey interviewed 20+ studio executives, producers, AI innovators, and academics for the report
|
||||
|
|
|
|||
Loading…
Reference in a new issue