extract: 2025-01-01-sage-algorithmic-content-creation-systematic-review #1028
36 changed files with 490 additions and 21 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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Relevant Notes:
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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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Relevant Notes:
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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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---
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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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Relevant Notes:
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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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@ -39,6 +39,12 @@ The GLP-1 case is particularly stark because the clinical evidence is robust (ca
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The claim that budget scoring "systematically" undervalues prevention requires evidence beyond a single case. However, the GLP-1 divergence is consistent with known CBO methodology (10-year window, conservative assumptions) and parallels similar scoring challenges for other preventive interventions (vaccines, screening programs). The structural bias is well-documented in health policy literature, though this source provides the most dramatic single-case illustration.
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### Additional Evidence (confirm)
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*Source: [[2024-11-01-aspe-medicare-anti-obesity-medication-coverage]] | Added: 2026-03-16*
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The CBO vs. ASPE divergence on Medicare GLP-1 coverage provides concrete evidence: CBO projects $35B in additional spending (2026-2034) using budget scoring methodology, while ASPE projects net savings of $715M over 10 years using clinical economics methodology that includes downstream event avoidance. The $35.7B gap between these estimates demonstrates how budget scoring rules structurally disadvantage preventive interventions. CBO uses conservative uptake assumptions and doesn't fully count avoided hospitalizations and disease progression within the 10-year window, while ASPE includes 38,950 CV events avoided and 6,180 deaths avoided. Both are technically correct but answer different questions—budget impact vs. clinical economics.
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Relevant Notes:
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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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Relevant Notes:
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@ -89,6 +89,12 @@ Production deployment data from futard.io shows Proposal #1 on DAO account De8Yz
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Dean's List DAO treasury proposal required TWAP > 3% for passage, with the proposal arguing potential 5-20% FDV increase from de-risking would exceed this threshold. Proposal completed December 5, 2024 after 3-day duration.
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### Additional Evidence (extend)
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*Source: [[2025-02-10-futardio-proposal-addy-dao-proposal]] | Added: 2026-03-16*
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Addy DAO proposal 16 explicitly instructs 'Do NOT TRADE' during testing phase, revealing that futarchy implementations require operational testing modes where the market mechanism is deliberately disabled. This suggests production futarchy systems need dual-track proposal types: live governance proposals with active markets and testing proposals with frozen markets.
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Relevant Notes:
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@ -47,6 +47,12 @@ Proposal #3 failed with no indication of trading activity or market participatio
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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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Relevant Notes:
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@ -52,6 +52,12 @@ Dean's List ThailandDAO proposal included complex mechanics (token lockup multip
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MetaDAO's Q3 roadmap explicitly prioritized UI performance improvements, targeting reduction of page load times from 14.6 seconds to 1 second. This 93% reduction target indicates that user experience friction was severe enough to warrant top-level roadmap inclusion alongside product launches and team building.
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### Additional Evidence (confirm)
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*Source: [[2025-02-10-futardio-proposal-addy-dao-proposal]] | Added: 2026-03-16*
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The 'Do NOT TRADE' instruction on a testing proposal demonstrates operational complexity friction in futarchy systems. Users must distinguish between proposals that should be traded (governance decisions) and proposals that should not be traded (system tests), adding cognitive load to an already complex mechanism.
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Relevant Notes:
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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*
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*Source: 2025-01-14-futardio-proposal-should-deans-list-dao-update-the-liquidity-fee-structure | Added: 2026-03-15*
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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.
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### Additional Evidence (extend)
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*Source: [[2024-11-25-futardio-proposal-launch-a-boost-for-hnt-ore]] | Added: 2026-03-16*
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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.
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Relevant Notes:
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@ -15,6 +15,12 @@ The mixed-mechanism approach deploys three complementary tools. Meritocratic vot
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The interaction between mechanisms creates its own value. Each mechanism generates different data: voting reveals community preferences, prediction markets surface distributed knowledge, futarchy stress-tests decisions through market forces. Organizations can compare outcomes across mechanisms and continuously refine which tool to deploy when. This creates a positive feedback loop of governance learning. Since [[recursive improvement is the engine of human progress because we get better at getting better]], mixed-mechanism governance enables recursive improvement of decision-making itself.
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### Additional Evidence (extend)
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*Source: [[2025-02-10-futardio-proposal-addy-dao-proposal]] | Added: 2026-03-16*
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Testing proposals that explicitly disable trading represent a third category beyond high-stakes and low-stakes decisions: operational maintenance decisions where market mechanisms provide no value and may create confusion. This suggests optimal governance architectures need non-market pathways for system administration.
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Relevant Notes:
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@ -37,6 +37,7 @@ The team includes crypticmeta (Solana/Bitcoin developer, previously built Ordina
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- **2026-03-03** — Futardio fundraise launched: $200K target, 24-hour window, raised $158,067 before refunding
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- **2026-03-04** — Fundraise closed in refunding status (did not reach $200K minimum)
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- **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.
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## Governance Structure
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Treasury control enforced through:
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@ -0,0 +1,27 @@
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{
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"rejected_claims": [
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{
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"filename": "algorithmic-content-optimization-pressure-is-mediated-by-revenue-model-not-algorithm-design.md",
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"issues": [
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"missing_attribution_extractor"
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]
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}
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],
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"validation_stats": {
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"total": 1,
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"kept": 0,
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"fixed": 4,
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"rejected": 1,
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"fixes_applied": [
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"algorithmic-content-optimization-pressure-is-mediated-by-revenue-model-not-algorithm-design.md:set_created:2026-03-16",
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"algorithmic-content-optimization-pressure-is-mediated-by-revenue-model-not-algorithm-design.md:stripped_wiki_link:content-serving-commercial-functions-can-simultaneously-serv",
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"algorithmic-content-optimization-pressure-is-mediated-by-revenue-model-not-algorithm-design.md:stripped_wiki_link:creator-owned-direct-subscription-platforms-produce-qualitat",
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"algorithmic-content-optimization-pressure-is-mediated-by-revenue-model-not-algorithm-design.md:stripped_wiki_link:established-creators-generate-more-revenue-from-owned-stream"
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],
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"rejections": [
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"algorithmic-content-optimization-pressure-is-mediated-by-revenue-model-not-algorithm-design.md:missing_attribution_extractor"
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]
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},
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"model": "anthropic/claude-sonnet-4.5",
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"date": "2026-03-16"
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}
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@ -0,0 +1,26 @@
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{
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"rejected_claims": [
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{
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"filename": "ownership-coins-demonstrate-10x-higher-holder-retention-during-drawdowns-than-governance-tokens-because-legal-and-economic-rights-create-genuine-ownership-psychology.md",
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"issues": [
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"missing_attribution_extractor"
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]
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}
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],
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"validation_stats": {
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"total": 1,
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"kept": 0,
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"fixed": 3,
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"rejected": 1,
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"fixes_applied": [
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"ownership-coins-demonstrate-10x-higher-holder-retention-during-drawdowns-than-governance-tokens-because-legal-and-economic-rights-create-genuine-ownership-psychology.md:set_created:2026-03-16",
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"ownership-coins-demonstrate-10x-higher-holder-retention-during-drawdowns-than-governance-tokens-because-legal-and-economic-rights-create-genuine-ownership-psychology.md:stripped_wiki_link:ownership-coins-primary-value-proposition-is-investor-protec",
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"ownership-coins-demonstrate-10x-higher-holder-retention-during-drawdowns-than-governance-tokens-because-legal-and-economic-rights-create-genuine-ownership-psychology.md:stripped_wiki_link:community-ownership-accelerates-growth-through-aligned-evang"
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],
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"rejections": [
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"ownership-coins-demonstrate-10x-higher-holder-retention-during-drawdowns-than-governance-tokens-because-legal-and-economic-rights-create-genuine-ownership-psychology.md:missing_attribution_extractor"
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]
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},
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"model": "anthropic/claude-sonnet-4.5",
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"date": "2026-03-16"
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}
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|
@ -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"
|
||||
}
|
||||
|
|
@ -7,9 +7,13 @@ date: 2024-11-01
|
|||
domain: health
|
||||
secondary_domains: [internet-finance]
|
||||
format: policy
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: medium
|
||||
tags: [glp-1, medicare, obesity, budget-impact, CBO, federal-spending]
|
||||
processed_by: vida
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["federal-budget-scoring-methodology-systematically-undervalues-preventive-interventions-because-10-year-window-excludes-long-term-savings.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -45,3 +49,12 @@ WHY ARCHIVED: The CBO vs. ASPE divergence reveals a systematic bias in how preve
|
|||
EXTRACTION HINT: Focus on the methodological divergence as evidence of structural misalignment in policy evaluation, not just the GLP-1 budget numbers
|
||||
|
||||
flagged_for_leo: ["Budget scoring methodology systematically disadvantages prevention — this is a cross-domain structural problem affecting all preventive health investments"]
|
||||
|
||||
|
||||
## Key Facts
|
||||
- CBO estimates Medicare coverage of anti-obesity medications would increase federal spending by $35 billion over 2026-2034
|
||||
- ASPE estimates net savings of $715 million over 10 years from Medicare GLP-1 coverage (range: $412M to $1.04B)
|
||||
- Broad semaglutide access projected to avoid 38,950 CV events and 6,180 deaths over 10 years
|
||||
- Annual Part D cost increase from Medicare GLP-1 coverage: $3.1-6.1 billion
|
||||
- Approximately 10% of Medicare beneficiaries would be eligible under proposed criteria requiring comorbidities
|
||||
- Proposed eligibility criteria require CVD history, heart failure, CKD, or prediabetes—not just BMI threshold
|
||||
|
|
|
|||
|
|
@ -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
|
||||
|
|
|
|||
|
|
@ -6,7 +6,7 @@ url: "https://www.futard.io/proposal/8qtWAAjqKhtEBJjdY6YzkN74yddTchH2vSc7f654NtQ
|
|||
date: 2025-02-10
|
||||
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: 2025-02-10
|
|||
enrichments_applied: ["MetaDAOs Autocrat program implements futarchy through conditional token markets where proposals create parallel pass and fail universes settled by time-weighted average price over a three-day window.md", "futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements.md", "optimal governance requires mixing mechanisms because different decisions have different manipulation risk profiles.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
extraction_notes: "Single proposal data point. Extracted one experimental claim about dual-track proposal types in futarchy systems. Applied three enrichments to existing mechanism claims. The explicit no-trade instruction reveals operational complexity in futarchy implementations that theory doesn't capture."
|
||||
processed_by: rio
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["MetaDAOs Autocrat program implements futarchy through conditional token markets where proposals create parallel pass and fail universes settled by time-weighted average price over a three-day window.md", "futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements.md", "optimal governance requires mixing mechanisms because different decisions have different manipulation risk profiles.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Proposal Details
|
||||
|
|
@ -54,6 +58,14 @@ Addy DAO Proposal - Testing Bundles With New Creation - Do NOT TRADE
|
|||
- Ended: 2025-02-13
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Addy DAO proposal 16 created 2025-02-10, completed 2025-02-13, status: failed
|
||||
- Proposal account: 8qtWAAjqKhtEBJjdY6YzkN74yddTchH2vSc7f654NtQE
|
||||
- DAO account: GWywkp2mY2vzAaLydR2MBXRCqk2vBTyvtVRioujxi5Ce
|
||||
- Autocrat version: 0.3
|
||||
- Proposal description: 'Testing Bundles With New Creation - Do NOT TRADE'
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Addy DAO proposal 16 created 2025-02-10, completed 2025-02-13, status: failed
|
||||
- Proposal account: 8qtWAAjqKhtEBJjdY6YzkN74yddTchH2vSc7f654NtQE
|
||||
|
|
|
|||
|
|
@ -7,9 +7,12 @@ date: 2025-12-00
|
|||
domain: internet-finance
|
||||
secondary_domains: []
|
||||
format: article
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: medium
|
||||
tags: [ownership-coins, messari, governance-tokens, market-thesis, AVICI]
|
||||
processed_by: rio
|
||||
processed_date: 2026-03-16
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -44,3 +47,10 @@ tags: [ownership-coins, messari, governance-tokens, market-thesis, AVICI]
|
|||
PRIMARY CONNECTION: [[ownership coins primary value proposition is investor protection not governance quality]]
|
||||
WHY ARCHIVED: Mainstream institutional recognition (Messari + Galaxy Digital) of ownership coins as investment thesis, plus AVICI retention data as empirical evidence
|
||||
EXTRACTION HINT: Focus on AVICI holder retention as empirical evidence for ownership coin stickiness — this is the data point that distinguishes ownership coins from governance tokens empirically, not just theoretically
|
||||
|
||||
|
||||
## Key Facts
|
||||
- AVICI had 12,752 holders as of mid-December 2025
|
||||
- AVICI gained 9,300 new holders in its first 45 days
|
||||
- No ownership coin project has exceeded $1B FDV as of December 2025
|
||||
- Messari and Galaxy Digital co-published 2026 thesis positioning ownership coins as major investment opportunity
|
||||
|
|
|
|||
|
|
@ -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
|
||||
|
|
|
|||
|
|
@ -7,10 +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