extract: 2025-01-01-select-cost-effectiveness-analysis-obesity-cvd #1109
24 changed files with 332 additions and 18 deletions
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@ -37,6 +37,12 @@ Chakraborty et al., "MaxMin-RLHF: Alignment with Diverse Human Preferences," ICM
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- Tulu2-7B: 56.67% win rate across both groups vs 42% minority/70.4% majority for single reward
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- 33% improvement for minority groups without majority compromise
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### Additional Evidence (extend)
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*Source: [[2025-00-00-em-dpo-heterogeneous-preferences]] | Added: 2026-03-16*
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MMRA extends maxmin RLHF to the deployment phase by minimizing maximum regret across preference groups when user type is unknown at inference, showing how egalitarian principles can govern both training and inference in pluralistic systems.
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---
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@ -21,10 +21,16 @@ Since [[universal alignment is mathematically impossible because Arrows impossib
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### Additional Evidence (extend)
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*Source: [[2024-02-00-chakraborty-maxmin-rlhf]] | Added: 2026-03-15 | Extractor: anthropic/claude-sonnet-4.5*
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*Source: 2024-02-00-chakraborty-maxmin-rlhf | Added: 2026-03-15 | Extractor: anthropic/claude-sonnet-4.5*
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MaxMin-RLHF provides a constructive implementation of pluralistic alignment through mixture-of-rewards and egalitarian optimization. Rather than converging preferences, it learns separate reward models for each subpopulation and optimizes for the worst-off group (Sen's Egalitarian principle). At Tulu2-7B scale, this achieved 56.67% win rate across both majority and minority groups, compared to single-reward's 70.4%/42% split. The mechanism accommodates irreducible diversity by maintaining separate reward functions rather than forcing convergence.
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### Additional Evidence (confirm)
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*Source: [[2025-00-00-em-dpo-heterogeneous-preferences]] | Added: 2026-03-16*
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EM-DPO implements this through ensemble architecture: discovers K latent preference types, trains K specialized models, and deploys them simultaneously with egalitarian aggregation. Demonstrates that pluralistic alignment is technically feasible without requiring demographic labels or manual preference specification.
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@ -35,10 +35,16 @@ RLCF makes the social choice mechanism explicit through the bridging algorithm (
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### Additional Evidence (confirm)
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*Source: [[2026-02-00-an-differentiable-social-choice]] | Added: 2026-03-16*
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*Source: 2026-02-00-an-differentiable-social-choice | Added: 2026-03-16*
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Comprehensive February 2026 survey by An & Du documents that contemporary ML systems implement social choice mechanisms implicitly across RLHF, participatory budgeting, and liquid democracy applications, with 18 identified open problems spanning incentive guarantees and pluralistic preference aggregation.
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### Additional Evidence (extend)
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*Source: [[2025-00-00-em-dpo-heterogeneous-preferences]] | Added: 2026-03-16*
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EM-DPO makes the social choice function explicit by using MinMax Regret Aggregation based on egalitarian fairness principles, demonstrating that pluralistic alignment requires choosing a specific social welfare function (here: maximin regret) rather than pretending aggregation is value-neutral.
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@ -35,10 +35,16 @@ Study demonstrates that models trained on different demographic populations show
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### Additional Evidence (extend)
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*Source: [[2026-02-00-an-differentiable-social-choice]] | Added: 2026-03-16*
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*Source: 2026-02-00-an-differentiable-social-choice | Added: 2026-03-16*
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An & Du's survey reveals the mechanism behind single-reward failure: RLHF is doing social choice (preference aggregation) but treating it as an engineering detail rather than a normative design choice, which means the aggregation function is chosen implicitly and without examination of which fairness criteria it satisfies.
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### Additional Evidence (extend)
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*Source: [[2025-00-00-em-dpo-heterogeneous-preferences]] | Added: 2026-03-16*
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EM-DPO provides formal proof that binary comparisons are mathematically insufficient for preference type identification, explaining WHY single-reward RLHF fails: the training signal format cannot contain the information needed to discover heterogeneity, regardless of dataset size. Rankings over 3+ responses are necessary.
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@ -35,16 +35,22 @@ The 60%→26% collapse in consumer enthusiasm for AI-generated creator content b
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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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*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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### Additional Evidence (confirm)
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*Source: [[2026-02-01-seedance-2-ai-video-benchmark]] | Added: 2026-03-16*
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*Source: 2026-02-01-seedance-2-ai-video-benchmark | Added: 2026-03-16*
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Sora standalone app achieved 12 million downloads but retention below 8% at day 30 (vs 30%+ benchmark for successful apps), demonstrating that even among early adopters who actively sought AI video tools, usage hasn't created a compelling habit. This empirically confirms that capability has outpaced demand-side acceptance.
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### Additional Evidence (extend)
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*Source: [[2026-08-02-eu-ai-act-creative-content-labeling]] | Added: 2026-03-16*
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EU AI Act Article 50 (effective August 2026) creates a creative content exemption that means entertainment's authenticity premium will be market-driven rather than regulation-driven. While AI-generated news/marketing must be labeled, 'evidently artistic, creative, satirical, or fictional' content requires only minimal disclosure. This regulatory asymmetry confirms that consumer preference, not regulatory mandate, remains the binding constraint for AI adoption in entertainment.
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Relevant Notes:
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@ -38,6 +38,12 @@ Dropout reached 1M+ subscribers by October 2025. Nebula revenue more than double
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88% of high-earning creators now leverage their own websites and 75% have membership communities, showing that owned infrastructure has become standard practice for successful creators, not an experimental edge case.
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### Additional Evidence (extend)
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*Source: [[2026-03-01-cvleconomics-creator-owned-platforms-future-media-work]] | Added: 2026-03-16*
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Dropout specifically generates $80-90M annual revenue with 1M+ subscribers, representing 18-21% of the total $430M creator-owned streaming market. This single-platform data point confirms the category-level aggregates and provides unit economics: $80-90 ARPU, 40-45% EBITDA margins, $3.0-3.3M revenue per employee.
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@ -27,6 +27,12 @@ The counter-argument is that Dropout is an unusually strong brand with exception
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Owned-revenue creators earn 189% more than platform-dependent creators, with 88% using their own websites and 75% operating membership communities. This aggregate data confirms the revenue advantage of owned distribution at population scale, not just for individual case studies.
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### Additional Evidence (extend)
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*Source: [[2026-03-01-cvleconomics-creator-owned-platforms-future-media-work]] | Added: 2026-03-16*
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Dropout's $80-90 ARPU (annual revenue per user) provides quantitative comparison point. At 1M subscribers generating $80-90M, this represents 20-40x premium over typical YouTube ad revenue for equivalent audience size (YouTube ARPU typically $2-4 for creator share).
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---
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Relevant Notes:
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@ -46,10 +46,16 @@ The 60%→26% enthusiasm collapse for AI-generated creator content (2023-2025) w
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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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*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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### Additional Evidence (extend)
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*Source: [[2026-08-02-eu-ai-act-creative-content-labeling]] | Added: 2026-03-16*
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EU AI Act Article 50 creates sector-specific regulatory pressure: strict labeling requirements for AI-generated news/marketing (creating structural advantage for human-made content in those sectors) but exempts 'evidently creative' entertainment content from the strongest requirements. This means the 'human-made premium' will be regulation-enforced in journalism/advertising but market-driven in entertainment, creating divergent dynamics across sectors.
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@ -296,6 +296,12 @@ The crystallization of 'human-made' as a premium label adds a new dimension to t
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Beast Industries' $5B valuation and revenue trajectory ($899M → $1.6B → $4.78B by 2029) with media projected at only 1/5 of revenue by 2026 provides enterprise-scale validation of content-as-loss-leader. The media business operates at ~$80M loss while Feastables generates $250M revenue with $20M+ profit, demonstrating that content functions as customer acquisition infrastructure rather than primary revenue source. The $5B valuation prices the integrated system (content → audience → products) rather than content alone, representing market validation that this attractor state is real and scalable. Feastables' presence in 30,000+ retail locations (Walmart, Target, 7-Eleven) shows the model translates to physical retail distribution, not just direct-to-consumer. This is the first enterprise-scale validation of the loss-leader model where media revenue is subordinate to product revenue.
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### Additional Evidence (confirm)
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*Source: [[2026-03-01-cvleconomics-creator-owned-platforms-future-media-work]] | Added: 2026-03-16*
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Dropout's behavior confirms the loss-leader prediction: they maintain identical pricing for 3+ years, grandfather legacy subscribers, and explicitly encourage password sharing — all behaviors that treat content as customer acquisition rather than direct monetization. The 40-45% margins come from eliminating distributor costs, not from maximizing per-user extraction.
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@ -37,16 +37,22 @@ MA plans' near-universal prior authorization creates administrative friction tha
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### Additional Evidence (extend)
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*Source: [[2025-05-01-nejm-semaglutide-mash-phase3-liver]] | Added: 2026-03-16*
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*Source: 2025-05-01-nejm-semaglutide-mash-phase3-liver | Added: 2026-03-16*
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MASH/NASH is projected to become the leading cause of liver transplantation. GLP-1s now demonstrate efficacy across three major organ systems (cardiovascular, renal, hepatic), which strengthens the multi-indication economic case for chronic use. The 62.9% MASH resolution rate suggests GLP-1s could prevent progression to late-stage liver disease and transplantation, though the Value in Health Medicare study showed only $28M MASH savings—surprisingly small given clinical magnitude, likely because MASH progression to transplant takes decades and falls outside typical budget scoring windows.
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### Additional Evidence (extend)
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*Source: [[2025-12-23-cms-balance-model-glp1-obesity-coverage]] | Added: 2026-03-16*
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*Source: 2025-12-23-cms-balance-model-glp1-obesity-coverage | Added: 2026-03-16*
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The BALANCE Model directly addresses the chronic use inflation problem by requiring lifestyle interventions alongside medication. If lifestyle supports can sustain metabolic benefits after medication discontinuation, the model could demonstrate a pathway to positive net cost impact. The 6-year test window (through 2031) will provide empirical data on whether combined intervention changes the chronic use economics.
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### Additional Evidence (challenge)
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*Source: [[2025-01-01-select-cost-effectiveness-analysis-obesity-cvd]] | Added: 2026-03-16*
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At net prices with 48% rebates, semaglutide achieves $32,219/QALY ICER, making it highly cost-effective. The Trump Medicare deal at $245/month (82% discount) would push ICER below $30K/QALY. The inflationary claim may need scope qualification: GLP-1s are inflationary at list prices but potentially cost-saving at negotiated net prices, and the price trajectory is declining faster than the 2035 projection anticipated.
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@ -38,16 +38,22 @@ SELECT trial exploratory analysis (N=17,604, median 41.8 months) shows semagluti
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### Additional Evidence (extend)
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*Source: [[2025-05-01-nejm-semaglutide-mash-phase3-liver]] | Added: 2026-03-16*
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*Source: 2025-05-01-nejm-semaglutide-mash-phase3-liver | Added: 2026-03-16*
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Phase 3 trial shows semaglutide 2.4mg achieves 62.9% resolution of steatohepatitis without worsening fibrosis vs 34.3% placebo. Meta-analysis confirms GLP-1 RAs significantly increase histologic resolution of MASH, decrease liver fat deposition, improve hepatocellular ballooning, and reduce lobular inflammation. Some hepatoprotective benefits appear at least partly independent of weight loss, suggesting direct liver effects beyond metabolic improvement. This adds hepatic protection as a third major organ system (alongside cardiovascular and renal) where GLP-1s demonstrate protective effects.
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### Additional Evidence (confirm)
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*Source: [[2024-05-29-nejm-flow-trial-semaglutide-kidney-outcomes]] | Added: 2026-03-16*
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*Source: 2024-05-29-nejm-flow-trial-semaglutide-kidney-outcomes | Added: 2026-03-16*
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FLOW trial demonstrated 29% reduction in cardiovascular death (HR 0.71, 95% CI 0.56-0.89) and 18% lower risk of major cardiovascular events in a kidney-focused trial. The cardiovascular benefits emerged as secondary endpoints in a study designed for kidney outcomes, supporting the multi-organ protection thesis. Separate analysis in Nature Medicine showed additive benefits when combined with SGLT2 inhibitors.
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### Additional Evidence (extend)
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*Source: [[2025-01-01-select-cost-effectiveness-analysis-obesity-cvd]] | Added: 2026-03-16*
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Quantified lifetime savings per subject: $14,431 from avoided T2D, $2,074 from avoided CKD, $1,512 from avoided CV events. Diabetes prevention is the dominant economic driver, not cardiovascular protection, suggesting targeting should prioritize metabolic risk over CV risk.
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@ -30,10 +30,16 @@ This is the first dedicated kidney outcomes trial with a GLP-1 receptor agonist,
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### Additional Evidence (confirm)
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*Source: [[2024-05-29-nejm-flow-trial-semaglutide-kidney-outcomes]] | Added: 2026-03-16*
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*Source: 2024-05-29-nejm-flow-trial-semaglutide-kidney-outcomes | Added: 2026-03-16*
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FLOW trial (N=3,533, median 3.4 years follow-up) showed 24% reduction in major kidney disease events (HR 0.76, P=0.0003), with annual eGFR decline slowed by 1.16 mL/min/1.73m2 (P<0.001). Trial stopped early at prespecified interim analysis due to efficacy. FDA subsequently expanded semaglutide indications to include T2D patients with CKD. This is the first dedicated kidney outcomes trial with a GLP-1 receptor agonist, published in NEJM.
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### Additional Evidence (confirm)
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*Source: [[2025-01-01-select-cost-effectiveness-analysis-obesity-cvd]] | Added: 2026-03-16*
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SELECT trial economic model shows $2,074 per-subject lifetime savings from avoided CKD, supporting the claim that kidney protection generates substantial cost savings. However, diabetes prevention ($14,431) generates even larger savings.
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@ -44,6 +44,12 @@ The HNT-ORE boost proposal frames strategic partnership value through liquidity
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Dean's List DAO treasury de-risking proposal passed with market pricing showing 5-20% FDV increase ($500k to $525k-$600k) based on financial stability perception. The proposal explicitly modeled how converting volatile assets to stablecoins would impact market confidence and token valuation, demonstrating futarchy markets can price operational stability as a token price input.
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### Additional Evidence (extend)
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*Source: [[2026-03-14-futardio-launch-nfaspace]] | Added: 2026-03-16*
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NFA.space explicitly frames art curation and artist residency decisions as futarchy-governed choices where community 'bets on culture' through market mechanisms. Proposal states: 'If our community believes an artist residency in Nairobi, or a collaboration with a digital sculptor, will boost the ecosystem's impact and resonance, they can bet on it.' This demonstrates futarchy application to subjective cultural value judgments beyond pure financial metrics.
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@ -66,6 +66,12 @@ Cloak raised only $1,455 against a $300,000 target (0.5% of target), entering re
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Phonon Studio AI launch failed to reach its $88,888 target and entered refunding status, demonstrating that not all futarchy-governed raises succeed. The project had demonstrable traction (live product, 1000+ songs generated, functional token mechanics) but still failed to attract sufficient capital, suggesting futarchy capital formation success is not uniform across project types or market conditions.
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### Additional Evidence (extend)
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*Source: [[2026-03-14-futardio-launch-nfaspace]] | Added: 2026-03-16*
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NFA.space launched on futard.io with $125,000 target, demonstrating futarchy-governed fundraising for physical art RWA marketplace. Project has pre-existing traction: 1,895 artists from 79 countries, 2,000+ artworks sold, $150,000 historical revenue, $5,000 MRR, 12.5% repeat purchase rate. This shows futarchy ICO platform attracting projects with demonstrated product-market fit, not just speculative launches.
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@ -0,0 +1,48 @@
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{
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"rejected_claims": [
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{
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"filename": "binary-preference-comparisons-cannot-identify-latent-preference-types-making-pairwise-rlhf-structurally-blind-to-diversity.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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"filename": "em-algorithm-preference-clustering-discovers-latent-user-types-without-demographic-labels-enabling-unsupervised-pluralistic-alignment.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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"filename": "minmax-regret-aggregation-ensures-no-preference-group-is-severely-underserved-by-applying-egalitarian-fairness-to-ensemble-deployment.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": 3,
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"kept": 0,
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"fixed": 11,
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"rejected": 3,
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"fixes_applied": [
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"binary-preference-comparisons-cannot-identify-latent-preference-types-making-pairwise-rlhf-structurally-blind-to-diversity.md:set_created:2026-03-16",
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"binary-preference-comparisons-cannot-identify-latent-preference-types-making-pairwise-rlhf-structurally-blind-to-diversity.md:stripped_wiki_link:single-reward-rlhf-cannot-align-diverse-preferences-because-",
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"binary-preference-comparisons-cannot-identify-latent-preference-types-making-pairwise-rlhf-structurally-blind-to-diversity.md:stripped_wiki_link:rlhf-is-implicit-social-choice-without-normative-scrutiny.md",
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"binary-preference-comparisons-cannot-identify-latent-preference-types-making-pairwise-rlhf-structurally-blind-to-diversity.md:stripped_wiki_link:pluralistic alignment must accommodate irreducibly diverse v",
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"em-algorithm-preference-clustering-discovers-latent-user-types-without-demographic-labels-enabling-unsupervised-pluralistic-alignment.md:set_created:2026-03-16",
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"em-algorithm-preference-clustering-discovers-latent-user-types-without-demographic-labels-enabling-unsupervised-pluralistic-alignment.md:stripped_wiki_link:modeling preference sensitivity as a learned distribution ra",
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"em-algorithm-preference-clustering-discovers-latent-user-types-without-demographic-labels-enabling-unsupervised-pluralistic-alignment.md:stripped_wiki_link:pluralistic alignment must accommodate irreducibly diverse v",
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"minmax-regret-aggregation-ensures-no-preference-group-is-severely-underserved-by-applying-egalitarian-fairness-to-ensemble-deployment.md:set_created:2026-03-16",
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"minmax-regret-aggregation-ensures-no-preference-group-is-severely-underserved-by-applying-egalitarian-fairness-to-ensemble-deployment.md:stripped_wiki_link:maxmin-rlhf-applies-egalitarian-social-choice-to-alignment-b",
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"minmax-regret-aggregation-ensures-no-preference-group-is-severely-underserved-by-applying-egalitarian-fairness-to-ensemble-deployment.md:stripped_wiki_link:post-arrow-social-choice-mechanisms-work-by-weakening-indepe",
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"minmax-regret-aggregation-ensures-no-preference-group-is-severely-underserved-by-applying-egalitarian-fairness-to-ensemble-deployment.md:stripped_wiki_link:minority-preference-alignment-improves-33-percent-without-ma"
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],
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"rejections": [
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"binary-preference-comparisons-cannot-identify-latent-preference-types-making-pairwise-rlhf-structurally-blind-to-diversity.md:missing_attribution_extractor",
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"em-algorithm-preference-clustering-discovers-latent-user-types-without-demographic-labels-enabling-unsupervised-pluralistic-alignment.md:missing_attribution_extractor",
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"minmax-regret-aggregation-ensures-no-preference-group-is-severely-underserved-by-applying-egalitarian-fairness-to-ensemble-deployment.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 +1,32 @@
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{
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"rejected_claims": [
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{
|
||||
"filename": "glp-1-cost-effectiveness-depends-entirely-on-net-price-with-rebates-shifting-icer-from-136k-to-32k-per-qaly.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
{
|
||||
"filename": "glp-1-diabetes-prevention-savings-exceed-cardiovascular-savings-by-10x-making-metabolic-disease-prevention-the-primary-economic-lever.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
}
|
||||
],
|
||||
"validation_stats": {
|
||||
"total": 2,
|
||||
"kept": 0,
|
||||
"fixed": 2,
|
||||
"rejected": 2,
|
||||
"fixes_applied": [
|
||||
"glp-1-cost-effectiveness-depends-entirely-on-net-price-with-rebates-shifting-icer-from-136k-to-32k-per-qaly.md:set_created:2026-03-16",
|
||||
"glp-1-diabetes-prevention-savings-exceed-cardiovascular-savings-by-10x-making-metabolic-disease-prevention-the-primary-economic-lever.md:set_created:2026-03-16"
|
||||
],
|
||||
"rejections": [
|
||||
"glp-1-cost-effectiveness-depends-entirely-on-net-price-with-rebates-shifting-icer-from-136k-to-32k-per-qaly.md:missing_attribution_extractor",
|
||||
"glp-1-diabetes-prevention-savings-exceed-cardiovascular-savings-by-10x-making-metabolic-disease-prevention-the-primary-economic-lever.md:missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
"model": "anthropic/claude-sonnet-4.5",
|
||||
"date": "2026-03-16"
|
||||
}
|
||||
|
|
@ -0,0 +1,47 @@
|
|||
{
|
||||
"rejected_claims": [
|
||||
{
|
||||
"filename": "creator-owned-streaming-achieves-40-45-percent-ebitda-margins-through-structural-elimination-of-distributor-intermediation-costs.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
{
|
||||
"filename": "creator-owned-platforms-face-tam-ceiling-at-50-67-percent-market-penetration-because-niche-content-has-finite-addressable-audiences.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
{
|
||||
"filename": "creator-owned-platforms-redistribute-profits-to-all-contributors-including-non-cast-participants-when-founders-retain-ownership.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
}
|
||||
],
|
||||
"validation_stats": {
|
||||
"total": 3,
|
||||
"kept": 0,
|
||||
"fixed": 10,
|
||||
"rejected": 3,
|
||||
"fixes_applied": [
|
||||
"creator-owned-streaming-achieves-40-45-percent-ebitda-margins-through-structural-elimination-of-distributor-intermediation-costs.md:set_created:2026-03-16",
|
||||
"creator-owned-streaming-achieves-40-45-percent-ebitda-margins-through-structural-elimination-of-distributor-intermediation-costs.md:stripped_wiki_link:creator-owned-streaming-infrastructure-has-reached-commercia",
|
||||
"creator-owned-streaming-achieves-40-45-percent-ebitda-margins-through-structural-elimination-of-distributor-intermediation-costs.md:stripped_wiki_link:established-creators-generate-more-revenue-from-owned-stream",
|
||||
"creator-owned-streaming-achieves-40-45-percent-ebitda-margins-through-structural-elimination-of-distributor-intermediation-costs.md:stripped_wiki_link:the media attractor state is community-filtered IP with AI-c",
|
||||
"creator-owned-platforms-face-tam-ceiling-at-50-67-percent-market-penetration-because-niche-content-has-finite-addressable-audiences.md:set_created:2026-03-16",
|
||||
"creator-owned-platforms-face-tam-ceiling-at-50-67-percent-market-penetration-because-niche-content-has-finite-addressable-audiences.md:stripped_wiki_link:indie-streaming-platforms-emerged-as-category-by-2024-with-c",
|
||||
"creator-owned-platforms-face-tam-ceiling-at-50-67-percent-market-penetration-because-niche-content-has-finite-addressable-audiences.md:stripped_wiki_link:creator-owned-direct-subscription-platforms-produce-qualitat",
|
||||
"creator-owned-platforms-redistribute-profits-to-all-contributors-including-non-cast-participants-when-founders-retain-ownership.md:set_created:2026-03-16",
|
||||
"creator-owned-platforms-redistribute-profits-to-all-contributors-including-non-cast-participants-when-founders-retain-ownership.md:stripped_wiki_link:creator-owned-direct-subscription-platforms-produce-qualitat",
|
||||
"creator-owned-platforms-redistribute-profits-to-all-contributors-including-non-cast-participants-when-founders-retain-ownership.md:stripped_wiki_link:community ownership accelerates growth through aligned evang"
|
||||
],
|
||||
"rejections": [
|
||||
"creator-owned-streaming-achieves-40-45-percent-ebitda-margins-through-structural-elimination-of-distributor-intermediation-costs.md:missing_attribution_extractor",
|
||||
"creator-owned-platforms-face-tam-ceiling-at-50-67-percent-market-penetration-because-niche-content-has-finite-addressable-audiences.md:missing_attribution_extractor",
|
||||
"creator-owned-platforms-redistribute-profits-to-all-contributors-including-non-cast-participants-when-founders-retain-ownership.md:missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
"model": "anthropic/claude-sonnet-4.5",
|
||||
"date": "2026-03-16"
|
||||
}
|
||||
|
|
@ -0,0 +1,24 @@
|
|||
{
|
||||
"rejected_claims": [
|
||||
{
|
||||
"filename": "eu-ai-act-creative-content-exemption-creates-regulatory-asymmetry-where-entertainment-faces-lighter-labeling-requirements-than-functional-content.md",
|
||||
"issues": [
|
||||
"missing_attribution_extractor"
|
||||
]
|
||||
}
|
||||
],
|
||||
"validation_stats": {
|
||||
"total": 1,
|
||||
"kept": 0,
|
||||
"fixed": 1,
|
||||
"rejected": 1,
|
||||
"fixes_applied": [
|
||||
"eu-ai-act-creative-content-exemption-creates-regulatory-asymmetry-where-entertainment-faces-lighter-labeling-requirements-than-functional-content.md:set_created:2026-03-16"
|
||||
],
|
||||
"rejections": [
|
||||
"eu-ai-act-creative-content-exemption-creates-regulatory-asymmetry-where-entertainment-faces-lighter-labeling-requirements-than-functional-content.md:missing_attribution_extractor"
|
||||
]
|
||||
},
|
||||
"model": "anthropic/claude-sonnet-4.5",
|
||||
"date": "2026-03-16"
|
||||
}
|
||||
|
|
@ -7,9 +7,13 @@ date: 2025-01-01
|
|||
domain: ai-alignment
|
||||
secondary_domains: []
|
||||
format: paper
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: medium
|
||||
tags: [pluralistic-alignment, EM-algorithm, preference-clustering, ensemble-LLM, fairness]
|
||||
processed_by: theseus
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["single-reward-rlhf-cannot-align-diverse-preferences-because-alignment-gap-grows-proportional-to-minority-distinctiveness.md", "rlhf-is-implicit-social-choice-without-normative-scrutiny.md", "pluralistic alignment must accommodate irreducibly diverse values simultaneously rather than converging on a single aligned state.md", "maxmin-rlhf-applies-egalitarian-social-choice-to-alignment-by-maximizing-minimum-utility-across-preference-groups.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -31,7 +35,7 @@ EM-DPO uses expectation-maximization to simultaneously uncover latent user prefe
|
|||
**Why this matters:** Combines mechanism design (egalitarian social choice) with ML (EM clustering). The insight about binary comparisons being insufficient is technically important — it explains why standard RLHF/DPO with pairwise comparisons systematically fails at diversity.
|
||||
**What surprised me:** The binary-vs-ranking distinction. If binary comparisons can't identify latent preferences, then ALL existing pairwise RLHF/DPO deployments are structurally blind to preference diversity. This is a fundamental limitation, not just a practical one.
|
||||
**What I expected but didn't find:** No head-to-head comparison with PAL or MixDPO. No deployment results beyond benchmarks.
|
||||
**KB connections:** Addresses [[RLHF and DPO both fail at preference diversity]] with a specific mechanism. The egalitarian aggregation connects to [[some disagreements are permanently irreducible because they stem from genuine value differences not information gaps]].
|
||||
**KB connections:** Addresses RLHF and DPO both fail at preference diversity with a specific mechanism. The egalitarian aggregation connects to some disagreements are permanently irreducible because they stem from genuine value differences not information gaps.
|
||||
**Extraction hints:** Extract claims about: (1) binary comparisons being formally insufficient for preference identification, (2) EM-based preference type discovery, (3) egalitarian aggregation as pluralistic deployment strategy.
|
||||
**Context:** EAAMO 2025 — Equity and Access in Algorithms, Mechanisms, and Optimization. The fairness focus distinguishes this from PAL's efficiency focus.
|
||||
|
||||
|
|
@ -39,3 +43,10 @@ EM-DPO uses expectation-maximization to simultaneously uncover latent user prefe
|
|||
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: The binary-comparison insufficiency claim is a novel formal result that strengthens the case against standard alignment approaches
|
||||
EXTRACTION HINT: Focus on the formal insufficiency of binary comparisons and the EM + egalitarian aggregation combination
|
||||
|
||||
|
||||
## Key Facts
|
||||
- EM-DPO presented at EAAMO 2025 (Equity and Access in Algorithms, Mechanisms, and Optimization)
|
||||
- EM-DPO uses rankings over 3+ responses rather than binary comparisons for preference data
|
||||
- MinMax Regret Aggregation is based on egalitarian social choice theory
|
||||
- The paper focuses on fairness rather than efficiency, distinguishing it from PAL's approach
|
||||
|
|
|
|||
|
|
@ -7,9 +7,13 @@ date: 2025-01-01
|
|||
domain: health
|
||||
secondary_domains: [internet-finance]
|
||||
format: paper
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: medium
|
||||
tags: [glp-1, semaglutide, cost-effectiveness, cardiovascular, SELECT-trial, QALY]
|
||||
processed_by: vida
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["GLP-1 receptor agonists are the largest therapeutic category launch in pharmaceutical history but their chronic use model makes the net cost impact inflationary through 2035.md", "glp-1-multi-organ-protection-creates-compounding-value-across-kidney-cardiovascular-and-metabolic-endpoints.md", "semaglutide-reduces-kidney-disease-progression-24-percent-and-delays-dialysis-creating-largest-per-patient-cost-savings.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -43,3 +47,12 @@ Cost-effectiveness analysis of semaglutide 2.4mg based on SELECT trial data, mod
|
|||
PRIMARY CONNECTION: [[GLP-1 receptor agonists are the largest therapeutic category launch in pharmaceutical history but their chronic use model makes the net cost impact inflationary through 2035]]
|
||||
WHY ARCHIVED: Cost-effectiveness is price-dependent — the declining price trajectory may flip GLP-1s from inflationary to cost-effective faster than the existing claim anticipates
|
||||
EXTRACTION HINT: Focus on the price sensitivity of the cost-effectiveness conclusion and how recent price deals change the math
|
||||
|
||||
|
||||
## Key Facts
|
||||
- SELECT trial modeled lifetime outcomes for obese/overweight patients with established CVD but without diabetes
|
||||
- Per 100,000 subjects treated (lifetime horizon): 2,791 non-fatal MIs avoided, 3,000 revascularizations avoided, 487 strokes avoided, 115 CV deaths avoided
|
||||
- Average per-subject lifetime treatment cost: $47,353
|
||||
- Australian analysis at A$4,175/year yields ICER of A$96,055/QALY, not cost-effective at A$50,000 threshold
|
||||
- ICER 2025 assessment: semaglutide would need 80% price reduction to meet standard threshold at list price
|
||||
- Study was industry-funded by Novo Nordisk
|
||||
|
|
|
|||
|
|
@ -7,9 +7,13 @@ date: 2026-03-01
|
|||
domain: entertainment
|
||||
secondary_domains: [internet-finance]
|
||||
format: article
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: high
|
||||
tags: [creator-economy, owned-distribution, dropout, platform-economics, value-capture]
|
||||
processed_by: clay
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["creator-owned-streaming-infrastructure-has-reached-commercial-scale-with-430M-annual-creator-revenue-across-13M-subscribers.md", "the media attractor state is community-filtered IP with AI-collapsed production costs where content becomes a loss leader for the scarce complements of fandom community and ownership.md", "established-creators-generate-more-revenue-from-owned-streaming-subscriptions-than-from-equivalent-social-platform-ad-revenue.md"]
|
||||
extraction_model: "anthropic/claude-sonnet-4.5"
|
||||
---
|
||||
|
||||
## Content
|
||||
|
|
@ -50,3 +54,15 @@ Analysis of creator-owned streaming platforms vs platform-dependent distribution
|
|||
PRIMARY CONNECTION: the media attractor state is community-filtered IP with AI-collapsed production costs where content becomes a loss leader for the scarce complements of fandom community and ownership
|
||||
WHY ARCHIVED: Strongest quantitative evidence that owned-platform distribution fundamentally changes value capture dynamics — not just marginal improvement but 20-40x ARPU premium
|
||||
EXTRACTION HINT: Focus on the structural economics comparison (revenue per employee, EBITDA margins, ARPU differential) rather than the Dropout-specific narrative. The TAM ceiling finding is equally important — it suggests owned distribution works at niche scale but may not generalize.
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Dropout has over 1 million subscribers as of 2026
|
||||
- Dropout revenue estimated at $80-90 million annually
|
||||
- Dropout operates with 40 full-time employees
|
||||
- Dropout EBITDA margins: 40-45%
|
||||
- Dropout revenue per employee: $3.0-3.3 million
|
||||
- Traditional production revenue per employee: $200-500K
|
||||
- Dropout maintained identical subscription pricing for 3+ years
|
||||
- Dropout grandfathers existing subscribers into legacy rates after price increases
|
||||
- Dropout explicitly encourages password sharing
|
||||
|
|
|
|||
|
|
@ -6,9 +6,13 @@ url: "https://www.futard.io/launch/FfPgTna1xXJJ43S7YkwgspJJMMnvTphMjotnczgegUgV"
|
|||
date: 2026-03-14
|
||||
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", "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"
|
||||
---
|
||||
|
||||
## Launch Details
|
||||
|
|
@ -265,3 +269,14 @@ We aren't just building a product; we are creating a solution that makes the pow
|
|||
- Token: 9GR (9GR)
|
||||
- Token mint: `9GRxwRhLodGqrSp9USedY6qGU1JE2HnpLcjBFLpUmeta`
|
||||
- Version: v0.7
|
||||
|
||||
|
||||
## Key Facts
|
||||
- NFA.space has onboarded 1,895 artists from 79 countries as of March 2026
|
||||
- NFA.space has sold over 2,000 artworks through its MVP
|
||||
- NFA.space has generated $150,000 in total revenue with $5,000 MRR
|
||||
- NFA.space average artwork price is $1,235
|
||||
- NFA.space has 12.5% repeat purchase rate among collectors
|
||||
- NFA.space launched futard.io fundraise on March 14, 2026 with $125,000 target
|
||||
- NFA.space token is $NFA with mint address 9GRxwRhLodGqrSp9USedY6qGU1JE2HnpLcjBFLpUmeta
|
||||
- NFA.space plans $15,625 monthly budget for 8 months post-ICO
|
||||
|
|
|
|||
|
|
@ -6,9 +6,13 @@ url: "https://www.futard.io/launch/BY1uzGNg8Yb5kPEhXrXA9VA4geHSpEdzBcTvPt7qWnpY"
|
|||
date: 2026-03-14
|
||||
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
|
||||
|
|
@ -154,3 +158,12 @@ Support (Discord): https://discord.gg/kYpryzFF
|
|||
- Token: CUJ (CUJ)
|
||||
- Token mint: `CUJFz6v2hPgvvgEJ3YUxX4Mkt31d56JXRuyNMajLmeta`
|
||||
- Version: v0.7
|
||||
|
||||
|
||||
## Key Facts
|
||||
- Valgrid launched beta grid trading bot at valgrid.co
|
||||
- Valgrid fundraise on Futardio: $150,000 target, $1,505 committed as of 2026-03-14
|
||||
- Valgrid token: CUJ (mint: CUJFz6v2hPgvvgEJ3YUxX4Mkt31d56JXRuyNMajLmeta)
|
||||
- Valgrid launch address: BY1uzGNg8Yb5kPEhXrXA9VA4geHSpEdzBcTvPt7qWnpY
|
||||
- Valgrid team size: 4 core members
|
||||
- Valgrid monthly budget: $20,000 ($15k team, $5k operations)
|
||||
|
|
|
|||
|
|
@ -7,10 +7,14 @@ date: 2026-03-01
|
|||
domain: entertainment
|
||||
secondary_domains: [ai-alignment]
|
||||
format: report
|
||||
status: unprocessed
|
||||
status: enrichment
|
||||
priority: high
|
||||
tags: [EU-AI-Act, content-labeling, regulation, creative-exemption, entertainment-impact, transparency]
|
||||
flagged_for_theseus: ["AI transparency regulation as alignment mechanism — mandatory labeling may structurally advantage human-created content"]
|
||||
processed_by: clay
|
||||
processed_date: 2026-03-16
|
||||
enrichments_applied: ["GenAI adoption in entertainment will be gated by consumer acceptance not technology capability.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
|
||||
|
|
@ -41,3 +45,10 @@ Synthesis of multiple sources on EU AI Act Article 50 transparency requirements
|
|||
PRIMARY CONNECTION: [[GenAI adoption in entertainment will be gated by consumer acceptance not technology capability]]
|
||||
WHY ARCHIVED: The creative content carve-out is a SURPRISE — it means entertainment's authenticity premium is market-driven not regulation-driven, unlike other sectors
|
||||
EXTRACTION HINT: Focus on the ASYMMETRY between entertainment (lighter requirements) and other sectors (stricter). The creative exemption complicates a simple "regulation drives human-made premium" story.
|
||||
|
||||
|
||||
## Key Facts
|
||||
- EU AI Act Article 50 takes effect August 2, 2026
|
||||
- California AI Transparency Act (SB 942, AB 853) effective date delayed from January 1, 2026 to August 2, 2026
|
||||
- EU AI Act penalties reach EUR 15M or 3% of worldwide annual turnover
|
||||
- Code of Practice on Transparency of AI-Generated Content to be finalized May-June 2026
|
||||
|
|
|
|||
Loading…
Reference in a new issue